28 results on '"HEALTH EXAMINATION SURVEYS"'
Search Results
2. Learning from previous work and finding synergies in the domains of public and environmental health: EU-funded projects BRIDGE Health and HBM4EU
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Madlen David, Gerda Schwedler, Lena Reiber, Hanna Tolonen, Anna-Maria Andersson, Marta Esteban López, Anke Joas, Miriam Schöpel, Alexandra Polcher, and Marike Kolossa-Gehring
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Human biomonitoring ,HBM ,Environmental health ,Health information ,HI ,Health examination surveys ,Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background During the last decade, the European Union initiated several projects in the domains of public and environmental health. Within this framework, BRIDGE Health (Bridging Information and Data Generation for Evidence-based Health policy and Research) and HBM4EU (European human biomonitoring initiative) have been implemented. Whereas, the focus of BRIDGE Health was towards a sustainable and integrated health information system (HIS), the aim of HBM4EU is to improve evidence of the internal exposure of European citizens to environmental chemicals by human biomonitoring (HBM) and the impact of internal exposure on health. As both, environmental and public health determinants are important for health promotion, disease prevention and policy, BRIDGE Health and HBM4EU have overlapping aims and outcomes. In order to improve health information regarding public health and environmental health issues, best use and exchange of respective networks and project results is necessary. Methods Both projects have implemented health information (HI) and HBM tasks in order to provide adequate environmental and public health information of the European population. Synergies of the projects were identified in the working progress and because of overlapping networks and experts a focused analysis of both projects was envisaged. This paper elaborates on the aims and outcomes of both projects and the benefit of merging and channelling research results for the use of better health information and policy making that may be of relevance for any other project in these research fields. Results The need for focused exchanges and collaborations between the projects were identified and benefits of exchanges were highlighted for the specific areas of indicator development, linkage of data repositories and the combination of HBM studies and health examination surveys (HES). Further recommendations for a European wide harmonisation among different tasks in the fields of public health and environmental health are being developed. Conclusions Lessons learned from HBM4EU and BRIDGE Health show that continuous efforts must be undertaken, also by succeeding projects, to guarantee the exchange between public health and environmental health issues. Networks covering both are essential to provide better evidence of knowledge. The experiences from BRIDGE Health and HBM4EU give a valuable input for any future activity in these domains. Avoiding overlaps and streamlining further exchange of public health and environmental health contributes to best use of research results and allows to develop new strategies and tools for improvement of health information and thus enhances people’s health and well-being.
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- 2020
- Full Text
- View/download PDF
3. Prevalence, awareness, treatment and control of hypertension in the adult Polish population – Multi-center National Population Health Examination Surveys – WOBASZ studies
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Arkadiusz Niklas, Anna Flotyńska, Aleksandra Puch-Walczak, Maria Polakowska, Roman Topór-Madry, Maciej Polak, Walerian Piotrowski, Magdalena Kwaśniewska, Paweł Nadrowski, Andrzej Pająk, Wojciech Bielecki, Krystyna Kozakiewicz, Wojciech Drygas, Tomasz Zdrojewski, and Andrzej Tykarski
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health examination surveys ,clinical epidemiology ,prevalence of hypertension ,awareness of hypertension ,treatment of hypertension ,control of hypertension ,Medicine - Abstract
Introduction : Hypertension is one of the main risk factors of cardiovascular diseases. The first aim of the study was to evaluate the prevalence, awareness and treatment of hypertension as well as treatment effectiveness (blood pressure < 140/90 mm Hg) in a representative sample of the Polish population over the age of 19, examined in the WOBASZ II program. The second aim was to assess the changes in these parameters between 2003–2005 (WOBASZ study) and 2013–2014 in adults aged 20–74. Material and methods : Sampling was performed in three stages, stratified according to voivodeship (province), type of commune, and gender. Finally, the study included 6163 persons (3406 women and 2757 men) examined in the years 2013–2014 (aged ≥ 19 years). For comparison the data from 14 755 persons (7783 women and 6452 men aged 20–74 years) examined in the years 2003–2005 were used. Results : In the years 2013–2014, the age-standardized prevalence of hypertension, awareness, treatment and control was 42.7%, 59.3%, 46.1%, and 23% respectively. In the last decade an increase in the prevalence of hypertension (relative ratio (RR) 1.12; 95% confidence interval (CI): 1.07–1.18), treatment (RR = 1.26; 95% CI: 1.17–1.36) and control (RR = 2.16; 95% CI: 1.91 2.45) was found. In contrast, the awareness decreased nonsignificantly (RR = 0.98; 95% CI: 0.92–1.05). Conclusions : The prevalence of hypertension in Poland is high, and increased by about 12% in 10 years. Although the number of treated patients and blood pressure control improved nearly twofold over the last decade, this is still below expectations. Efforts to improve the diagnosis and effective treatment of hypertension in Poland should still be intensified.
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- 2018
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4. Prevalence, awareness, treatment and control of hypertension in the adult Polish population - Multi-center National Population Health Examination Surveys - WOBASZ studies.
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Niklas, Arkadiusz, Flotyńska, Anna, Puch-Walczak, Aleksandra, Polakowska, Maria, Topór-Mądry, Roman, Polak, Maciej, Piotrowski, Walerian, Kwaśniewska, Magdalena, Nadrowski, Paweł, Pająk, Andrzej, Bielecki, Wojciech, Kozakiewicz, Krystyna, Drygas, Wojciech, Zdrojewski, Tomasz, Tykarski, Andrzej, and WOBASZ II investigators
- Abstract
Introduction: Hypertension is one of the main risk factors of cardiovascular diseases. The first aim of the study was to evaluate the prevalence, awareness and treatment of hypertension as well as treatment effectiveness (blood pressure < 140/90 mm Hg) in a representative sample of the Polish population over the age of 19, examined in the WOBASZ II program. The second aim was to assess the changes in these parameters between 2003-2005 (WOBASZ study) and 2013-2014 in adults aged 20-74.Material and Methods: Sampling was performed in three stages, stratified according to voivodeship (province), type of commune, and gender. Finally, the study included 6163 persons (3406 women and 2757 men) examined in the years 2013-2014 (aged ≥ 19 years). For comparison the data from 14 755 persons (7783 women and 6452 men aged 20-74 years) examined in the years 2003-2005 were used.Results: In the years 2013-2014, the age-standardized prevalence of hypertension, awareness, treatment and control was 42.7%, 59.3%, 46.1%, and 23% respectively. In the last decade an increase in the prevalence of hypertension (relative ratio (RR) 1.12; 95% confidence interval (CI): 1.07-1.18), treatment (RR = 1.26; 95% CI: 1.17-1.36) and control (RR = 2.16; 95% CI: 1.9-12.45) was found. In contrast, the awareness decreased nonsignificantly (RR = 0.98; 95% CI: 0.92-1.05).Conclusions: The prevalence of hypertension in Poland is high, and increased by about 12% in 10 years. Although the number of treated patients and blood pressure control improved nearly twofold over the last decade, this is still below expectations. Efforts to improve the diagnosis and effective treatment of hypertension in Poland should still be intensified. [ABSTRACT FROM AUTHOR]- Published
- 2018
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5. Bayesian models for data missing not at random in health examination surveys.
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Kopra, Juho, Karvanen, Juha, and Härkänen, Tommi
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BAYESIAN analysis , *PERIODIC health examinations , *SURVIVAL analysis (Biometry) , *PARAMETER estimation , *NONRESPONSE (Statistics) - Abstract
In epidemiological surveys, data missing not at random (MNAR) due to survey nonresponse may potentially lead to a bias in the risk factor estimates. We propose an approach based on Bayesian data augmentation and survival modelling to reduce the nonresponse bias. The approach requires additional information based on follow-up data. We present a case study of smoking prevalence using FINRISK data collected between 1972 and 2007 with a follow-up to the end of 2012 and compare it to other commonly applied missing at random (MAR) imputation approaches. A simulation experiment is carried out to study the validity of the approaches. Our approach appears to reduce the nonresponse bias substantially, whereas MAR imputation was not successful in bias reduction. [ABSTRACT FROM AUTHOR]
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- 2018
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6. Learning from previous work and finding synergies in the domains of public and environmental health: EU-funded projects BRIDGE Health and HBM4EU
- Author
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David, Madlen, Schwedler, Gerda, Reiber, Lena, Tolonen, Hanna, Andersson, Anna-Maria, Esteban López, Marta, Joas, Anke, Schöpel, Miriam, Polcher, Alexandra, and Kolossa-Gehring, Marike
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- 2020
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7. Learning from previous work and finding synergies in the domains of public and environmental health: EU-funded projects BRIDGE Health and HBM4EU
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Gerda Schwedler, Anna-Maria Andersson, Miriam Schöpel, Marike Kolossa-Gehring, Madlen David, Lena Reiber, Alexandra Polcher, Marta Esteban López, Anke Joas, Hanna Tolonen, Unión Europea. Comisión Europea. H2020, Federal Ministry for the Environment (Alemania), Projekt DEAL, European Union, Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (Germany), Horizon 2020, and Federal Ministry for the Environment (Germany)
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HBM4EU ,medicine.medical_specialty ,European projects ,010501 environmental sciences ,01 natural sciences ,Health informatics ,HBM ,HI ,03 medical and health sciences ,0302 clinical medicine ,Environmental health ,medicine ,Indicators ,media_common.cataloged_instance ,Relevance (information retrieval) ,030212 general & internal medicine ,European union ,Health policy ,0105 earth and related environmental sciences ,media_common ,Public health ,BRIDGE health ,business.industry ,lcsh:Public aspects of medicine ,Research ,Public Health, Environmental and Occupational Health ,Health services research ,lcsh:RA1-1270 ,HES ,Human biomonitoring ,Health promotion ,Data repositories ,Health information ,Work (electrical) ,13. Climate action ,business ,Health examination surveys - Abstract
Background During the last decade, the European Union initiated several projects in the domains of public and environmental health. Within this framework, BRIDGE Health (Bridging Information and Data Generation for Evidence-based Health policy and Research) and HBM4EU (European human biomonitoring initiative) have been implemented. Whereas, the focus of BRIDGE Health was towards a sustainable and integrated health information system (HIS), the aim of HBM4EU is to improve evidence of the internal exposure of European citizens to environmental chemicals by human biomonitoring (HBM) and the impact of internal exposure on health. As both, environmental and public health determinants are important for health promotion, disease prevention and policy, BRIDGE Health and HBM4EU have overlapping aims and outcomes. In order to improve health information regarding public health and environmental health issues, best use and exchange of respective networks and project results is necessary. Methods Both projects have implemented health information (HI) and HBM tasks in order to provide adequate environmental and public health information of the European population. Synergies of the projects were identified in the working progress and because of overlapping networks and experts a focused analysis of both projects was envisaged. This paper elaborates on the aims and outcomes of both projects and the benefit of merging and channelling research results for the use of better health information and policy making that may be of relevance for any other project in these research fields. Results The need for focused exchanges and collaborations between the projects were identified and benefits of exchanges were highlighted for the specific areas of indicator development, linkage of data repositories and the combination of HBM studies and health examination surveys (HES). Further recommendations for a European wide harmonisation among different tasks in the fields of public health and environmental health are being developed. Conclusions Lessons learned from HBM4EU and BRIDGE Health show that continuous efforts must be undertaken, also by succeeding projects, to guarantee the exchange between public health and environmental health issues. Networks covering both are essential to provide better evidence of knowledge. The experiences from BRIDGE Health and HBM4EU give a valuable input for any future activity in these domains. Avoiding overlaps and streamlining further exchange of public health and environmental health contributes to best use of research results and allows to develop new strategies and tools for improvement of health information and thus enhances people’s health and well-being.
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- 2020
- Full Text
- View/download PDF
8. National Health Surveys and Health Policy: Impact of the Jamaica Health and Lifestyle Surveys and the Reproductive Health Surveys.
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Ferguson, T. S., Tulloch-Reid, M. K., Gordon-Strachan, G., Hamilton, P., and Wilks, R. J.
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Copyright of West Indian Medical Journal is the property of West Indian Medical Journal (WIMJ) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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- 2012
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9. Prevalence, awareness, treatment and control of hypertension in the adult Polish population – Multi-center National Population Health Examination Surveys – WOBASZ studies
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Tomasz Zdrojewski, Maria Polakowska, Aleksandra Puch-Walczak, Walerian Piotrowski, Maciej Polak, Krystyna Kozakiewicz, Arkadiusz Niklas, Wojciech Drygas, Anna Flotyńska, Roman Topor-Madry, Wojciech Bielecki, Andrzej Pająk, Paweł Nadrowski, Magdalena Kwaśniewska, and Andrzej Tykarski
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Blood pressure control ,control of hypertension ,lcsh:Medicine ,Clinical epidemiology ,Population health ,Polish population ,030204 cardiovascular system & hematology ,03 medical and health sciences ,0302 clinical medicine ,Clinical Research ,Medicine ,Effective treatment ,030212 general & internal medicine ,treatment of hypertension ,prevalence of hypertension ,business.industry ,lcsh:R ,General Medicine ,clinical epidemiology ,Confidence interval ,Blood pressure ,health examination surveys ,awareness of hypertension ,business ,Demography - Abstract
Introduction : Hypertension is one of the main risk factors of cardiovascular diseases. The first aim of the study was to evaluate the prevalence, awareness and treatment of hypertension as well as treatment effectiveness (blood pressure < 140/90 mm Hg) in a representative sample of the Polish population over the age of 19, examined in the WOBASZ II program. The second aim was to assess the changes in these parameters between 2003–2005 (WOBASZ study) and 2013–2014 in adults aged 20–74. Material and methods : Sampling was performed in three stages, stratified according to voivodeship (province), type of commune, and gender. Finally, the study included 6163 persons (3406 women and 2757 men) examined in the years 2013–2014 (aged ≥ 19 years). For comparison the data from 14 755 persons (7783 women and 6452 men aged 20–74 years) examined in the years 2003–2005 were used. Results : In the years 2013–2014, the age-standardized prevalence of hypertension, awareness, treatment and control was 42.7%, 59.3%, 46.1%, and 23% respectively. In the last decade an increase in the prevalence of hypertension (relative ratio (RR) 1.12; 95% confidence interval (CI): 1.07–1.18), treatment (RR = 1.26; 95% CI: 1.17–1.36) and control (RR = 2.16; 95% CI: 1.91 2.45) was found. In contrast, the awareness decreased nonsignificantly (RR = 0.98; 95% CI: 0.92–1.05). Conclusions : The prevalence of hypertension in Poland is high, and increased by about 12% in 10 years. Although the number of treated patients and blood pressure control improved nearly twofold over the last decade, this is still below expectations. Efforts to improve the diagnosis and effective treatment of hypertension in Poland should still be intensified.
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- 2018
10. Self‐reported and test‐based mobility limitations in a representative sample of Finns aged 30+.
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Sainio, Päivi, Koskinen, Seppo, Heliövaara, Markku, Martelin, Tuija, Härkänen, Tommi, Hurri, Heikki, Miilunpalo, Seppo, and Aromaa, Arpo
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PERIODIC health examinations , *MOBILITY of older people , *HEALTH surveys , *INTERVIEWING , *OLDER people , *POPULATION - Abstract
Aims: The object of the present study was to acquire a comprehensive and accurate picture of mobility limitations in the Finnish adult population. Methods: A nationally representative sample of 8,028 persons aged 30+ with high participation was interviewed and examined in the Health 2000 Survey conducted in 2000–01. Mobility limitations were measured by self‐reports and performance tests. Results: Perceived running difficulties were already common among persons in middle age, while difficulties in moving about indoors were frequent only among persons aged 75+. A third of women and a fifth of men aged 55+ could not reach a walking speed of 1.2 m/s. Working‐aged women were more limited than men only in physically demanding tasks, but in the elderly the gender difference was evident in most mobility tasks. A substantial disagreement was found between the self‐reported and test‐based indicators in stair climbing. Supplementary data collection, carried out to increase participation in the health examination, as well as inclusion of institutionalized persons, provided a more complete estimate of the prevalence of mobility limitations among the elderly. Conclusions: Both self‐reported and performance‐based indicators are needed to achieve a comprehensive view of disability and its variation between population groups. Exclusion of institutionalized persons and low participation lead to underestimation of the occurrence of limitations. The number of persons suffering from mobility problems will increase with ageing of the population, which accentuates the importance of early intervention to maintain functional ability, especially in women. [ABSTRACT FROM AUTHOR]
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- 2006
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11. Design and Development of a Viral Hepatitis and HIV Infection Screening Program (Hprolipsis) for the General, Greek Roma, and Migrant Populations of Greece: Protocol for Three Cross-Sectional Health Examination Surveys
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Theofilos Rosenberg, George Rachiotis, Vana Sypsa, George V. Papatheodoridis, Apostolos Vantarakis, Agis Terzidis, Ioanna Petraki, Maria Kantzanou, Magda Gavana, Niki Maria Voudouri, Giota Touloumi, Argiro Karakosta, Olga Anagnostou, and Angelos Hatzakis
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medicine.medical_specialty ,Greek Roma ,Population ,migrants ,medicine.disease_cause ,Greek general population ,03 medical and health sciences ,0302 clinical medicine ,Environmental health ,medicine ,Protocol ,hepatitis ,030212 general & internal medicine ,education ,Disease burden ,Hepatitis B virus ,Hepatitis ,education.field_of_study ,business.industry ,Public health ,virus diseases ,HIV ,General Medicine ,medicine.disease ,health examination surveys ,Infectious disease (medical specialty) ,Sample size determination ,030211 gastroenterology & hepatology ,business ,Viral hepatitis - Abstract
BackgroundAlthough infectious diseases are globally on the decline, they remain a major global public health problem. Among them, the hepatitis B virus (HBV) or hepatitis C virus (HCV) and HIV infection are of primary interest. Valid prevalence data on these infections are sparse in Greece, especially for vulnerable populations.ObjectiveThis study aimed to present the design and methods of Hprolipsis, an integrated viral hepatitis and HIV screening program administered to adults (≥18 years) from the general, Greek Roma, and migrant populations. Its aims were to estimate the prevalence of HBV, HCV, and HIV; assess infectious disease knowledge level; design, implement, and assess population-specific awareness actions; and offer individual counseling and referral when indicated and HBV vaccination to susceptible Roma and migrants.MethodsMultistage, stratified, random sampling based on the 2011 Census was applied to select the general population sample, and nonprobability multistage quota sampling was used for Roma and migrant sample selection. Trained personnel made home (general population) or community (Roma and migrants) visits. Collected blood samples were tested for Hepatitis B surface Antigen, Hepatitis B core Antibody, Hepatitis B surface Antibody, Hepatitis C Antibody, and HIV 1,2 Antibody. The surveys were conducted during May 2013 and June 2016. To estimate an HCV prevalence of 1.5% with 0.3 precision, the required general population sample size was estimated to be 6000. As migrants constitute 10% of the whole Greek population, the migrant sample size was set to 600. A feasible sample size of 500 Greek Roma was set.ResultsIn total, 6006 individuals from the general population (response rate 72%), 534 Greek Roma, and 612 migrants were recruited. Blood test results are available for 4245 individuals from the general population, 523 Roma, and 537 migrants.ConclusionsHprolipsis is the first nationwide survey on HBV, HCV, and HIV. Its results will enhance our understanding of the health needs and disease burden of these diseases in the 3 studied populations. Its implementation provided useful recommendations for future studies, particularly in vulnerable populations.International Registered Report Identifier (IRRID)DERR1-10.2196/13578
- Published
- 2020
12. Worldwide trends in blood pressure from 1975 to 2015
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GENDER-DIFFERENCES ,HEALTH EXAMINATION SURVEYS ,MONICA PROJECT ,CARDIOVASCULAR RISK-FACTORS ,SYSTEMATIC ANALYSIS ,UNITED-STATES ,INCOME COUNTRIES ,GLOBAL BURDEN ,HYPERTENSION PREVALENCE ,SECULAR TRENDS - Abstract
Background Raised blood pressure is an important risk factor for cardiovascular diseases and chronic kidney disease. We estimated worldwide trends in mean systolic and mean diastolic blood pressure, and the prevalence of, and number of people with, raised blood pressure, defined as systolic blood pressure of 140 mm Hg or higher or diastolic blood pressure of 90 mm Hg or higher. Methods For this analysis, we pooled national, subnational, or community population-based studies that had measured blood pressure in adults aged 18 years and older. We used a Bayesian hierarchical model to estimate trends from 1975 to 2015 in mean systolic and mean diastolic blood pressure, and the prevalence of raised blood pressure for 200 countries. We calculated the contributions of changes in prevalence versus population growth and ageing to the increase in the number of adults with raised blood pressure. Findings We pooled 1479 studies that had measured the blood pressures of 19.1 million adults. Global age-standardised mean systolic blood pressure in 2015 was 127.0 mm Hg (95% credible interval 125.7-128.3) in men and 122.3 mm Hg (121.0-123.6) in women; age-standardised mean diastolic blood pressure was 78.7 mm Hg (77.9-79.5) for men and 76.7 mm Hg (75.9-77.6) for women. Global age-standardised prevalence of raised blood pressure was 24.1% (21.4-27.1) in men and 20.1% (17.8-22.5) in women in 2015. Mean systolic and mean diastolic blood pressure decreased substantially from 1975 to 2015 in high-income western and Asia Pacific countries, moving these countries from having some of the highest worldwide blood pressure in 1975 to the lowest in 2015. Mean blood pressure also decreased in women in central and eastern Europe, Latin America and the Caribbean, and, more recently, central Asia, Middle East, and north Africa, but the estimated trends in these super-regions had larger uncertainty than in high-income super-regions. By contrast, mean blood pressure might have increased in east and southeast Asia, south Asia, Oceania, and sub-Saharan Africa. In 2015, central and eastern Europe, sub-Saharan Africa, and south Asia had the highest blood pressure levels. Prevalence of raised blood pressure decreased in high-income and some middle-income countries; it remained unchanged elsewhere. The number of adults with raised blood pressure increased from 594 million in 1975 to 1.13 billion in 2015, with the increase largely in low-income and middle-income countries. The global increase in the number of adults with raised blood pressure is a net effect of increase due to population growth and ageing, and decrease due to declining age-specific prevalence. Interpretation During the past four decades, the highest worldwide blood pressure levels have shifted from high-income countries to low-income countries in south Asia and sub-Saharan Africa due to opposite trends, while blood pressure has been persistently high in central and eastern Europe. Funding Wellcome Trust. Copyright (C) The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license.
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- 2017
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13. Blood pressure and cholesterol control in patients with hypertension and hypercholesterolemia : the results from the Polish multicenter national health survey WOBASZ II
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Niklas, Arkadiusz, Marcinkowska, Justyna, Kozela, Magdalena, Pająk, Andrzej, Zdrojewski, Tomasz, Drygas, Wojciech, Piwońska, Aleksandra, Kwaśniewska, Magdalena, Kozakiewicz, Krystyna, and Tykarski, Andrzej
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health examination surveys ,control of hypertension and hypercholesterolemia ,clinical epidemiology ,prevalence of hypertension and hypercholesterolemia - Abstract
Introduction: Persons with multiple risk factors of cardiovascular disease (CVD) are at a greater risk than persons exposed to a single risk factor. Control of specific risk factors of CVD in Poland is rather poor. Effective control of comorbid hypertension and hypercholesterolemia seems especially challenging. Objectives: The aim of the study was to assess the control of hypertension and hypercholesterolemia in patients with both hypertension and hypercholesterolemia; data from the Polish multicenter national health survey, WOBASZ II, were analyzed. Patients and methods: The WOBASZ II study was a cross-sectional survey conducted from 2013 to 2014 in 6170 people (3410 women and 2760 men) from all 16 Polish voivodships. Results: Age-standardized prevalence of coexisting hypertension and hypercholesterolemia in WOBASZ II sample was 34.6%. The prevalence of hypercholesterolemia in participants with hypertension was 69.7%. Age-standardized rates of control of hypertension, hypercholesterolemia, and both hypertension and hypercholesterolemia in the entire analyzed age range of 19 to 99 years was 24.3%, 11.2%, and 5.4%, respectively. In multivariable logistic regression models, control of both hypertension and hypercholesterolemia was associated with smoking (odds ratio [OR], 0.5; 95% CI, 0.34–0.76), cardiovascular disease (OR, 2.25; 95% CI, 1.70–2.97), frequent medical visits (OR, 1.76; 95% CI, 1.33–2.32), and high education level (OR, 1.37; 95% CI, 1.03–1.80). Conclusions: Comorbid hypertension and hypercholesterolemia were observed in one-third of the Polish population (included in WOBASZ II study). Only 5.4% have both risk factors controlled. After adjustment for covariates, female sex, nonsmoking, comorbid CVD or diabetes, the frequency of medical visits, and high level of education appeared to increase the proportion of controlled hypertension or hypercholesterolemia.
- Published
- 2019
14. Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure
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hypertension ,HEALTH EXAMINATION SURVEYS ,global health ,UNITED-STATES ,HYPERTENSION PREVALENCE ,URBAN COMMUNITIES ,SECULAR TRENDS ,Blood pressure ,CARDIOVASCULAR RISK-FACTORS ,SYSTEMATIC ANALYSIS ,POTASSIUM INTAKE ,GLOBAL TRENDS ,SODIUM-INTAKE ,population health ,non-communicable disease - Abstract
Background: Change in the prevalence of raised blood pressure could be due to both shifts in the entire distribution of blood pressure (representing the combined effects of public health interventions and secular trends) and changes in its high-blood-pressure tail (representing successful clinical interventions to control blood pressure in the hypertensive population). Our aim was to quantify the contributions of these two phenomena to the worldwide trends in the prevalence of raised blood pressure.Methods: We pooled 1018 population-based studies with blood pressure measurements on 88.6 million participants from 1985 to 2016. We first calculated mean systolic blood pressure (SBP), mean diastolic blood pressure (DBP) and prevalence of raised blood pressure by sex and 10-year age group from 20-29 years to 70-79 years in each study, taking into account complex survey design and survey sample weights, where relevant. We used a linear mixed effect model to quantify the association between (probit-transformed) prevalence of raised blood pressure and age-group-and sex-specific mean blood pressure. We calculated the contributions of change in mean SBP and DBP, and of change in the prevalence-mean association, to the change in prevalence of raised blood pressure.Results: In 2005-16, at the same level of population mean SBP and DBP, men and women in South Asia and in Central Asia, the Middle East and North Africa would have the highest prevalence of raised blood pressure, and men and women in the high-income Asia Pacific and high-income Western regions would have the lowest. In most region-sex-age groups where the prevalence of raised blood pressure declined, one half or more of the decline was due to the decline in mean blood pressure. Where prevalence of raised blood pressure has increased, the change was entirely driven by increasing mean blood pressure, offset partly by the change in the prevalence-mean association.Conclusions: Change in mean blood pressure is the main driver of the worldwide change in the prevalence of raised blood pressure, but change in the high-blood-pressure tail of the distribution has also contributed to the change in prevalence, especially in older age groups.
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- 2018
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15. Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure: A pooled analysis of 1018 population-based measurement studies with 88.6 million participants
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Yiallouros, Panayiotis K., Escobedo-de la Peña, Jorge, Zhou, Bin, Bentham, James, Di Cesare, Mariachiara, Bixby, Honor, Danaei, Goodarz, Hajifathalian, Kaveh, Taddei, Cristina, Carrillo-Larco, Rodrigo M., Djalalinia, Shirin, Khatibzadeh, Shahab, Lugero, Charles, Peykari, Niloofar, Zhang, Wan Zhu, Bennett, James, Bilano, Ver, Stevens, Gretchen A., Cowan, Melanie J., Riley, Leanne M., Chen, Zhengming, Hambleton, Ian R., Jackson, Rod T., Kengne, Andre Pascal, Khang, Young-Ho, Laxmaiah, Avula, Liu, Jing, Malekzadeh, Reza, Neuhauser, Hannelore K., Sorić, Maroje, Starc, Gregor, Sundström, Johan, Woodward, Mark, Ezzati, Majid, Abarca-Gómez, Leandra, Abdeen, Ziad A., Abu-Rmeileh, Niveen M., Acosta-Cazares, Benjamin, Adams, Robert J., Aekplakorn, Wichai, Afsana, Kaosar, Aguilar-Salinas, Carlos A., Agyemang, Charles, Ahmad, Noor Ani, Ahmadvand, Alireza, Ahrens, Wolfgang, Ajlouni, Kamel, Akhtaeva, Nazgul, Al-Raddadi, Rajaa, Ali, Mohamed M., Ali, Osman, Alkerwi, Ala'a, Aly, Eman, Amarapurkar, Deepak N., Amouyel, Philippe, Amuzu, Antoinette, Andersen, Lars Bo, Anderssen, Sigmund A., Ängquist, Lars H., Anjana, Ranjit Mohan, Ansong, Daniel, Aounallah-Skhiri, Hajer, Araújo, Joana, Ariansen, Inger, Aris, Tahir, Arlappa, Nimmathota, Arveiler, Dominique, Aryal, Krishna K., Aspelund, Thor, Assah, Felix K., Assunção, Maria Cecília F., Avdicová, Mária, Azevedo, Ana, Azizi, Fereidoun, Babu, Bontha V., Bahijri, Suhad, Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, José R., Barbagallo, Carlo M., Barceló, Alberto, Barkat, Amina, Barros, Aluisio J. 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Ofra, Kamaruddin, Nor Azmi, Karki, Khem B, Kasaeian, Amir, Katz, Joanne, Kauhanen, Jussi, Kaur, Prabhdeep, Kavousi, Maryam, Kazakbaeva, Gyulli, Keil, Ulrich, Boker, Lital Keinan, Keinänen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kemper, Han C G, Kengne, Andre P, Kerimkulova, Alina, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khalili, Davood, Khateeb, Mohammad, Khaw, Kay-Tee, Kiechl-Kohlendorfer, Ursula, Kiechl, Stefan, Killewo, Japhet, Kim, Jeongseon, Kim, Yeon-Yong, Klumbiene, Jurate, Knoflach, Michael, Kolle, Elin, Kolsteren, Patrick, Korrovits, Paul, Koskinen, Seppo, Kouda, Katsuyasu, Kowlessur, Sudhir, Koziel, Slawomir, Kriemler, Susi, Kristensen, Peter Lund, Krokstad, Steinar, Kromhout, Daan, Kruger, Herculina S, Kubinova, Ruzena, Kuciene, Renata, Kuh, Diana, Kujala, Urho M, Kulaga, Zbigniew, Krishna Kumar, R, Kurjata, Pawel, Kusuma, Yadlapalli S, Kuulasmaa, Kari, Kyobutungi, Catherine, Laatikainen, Tiina, Lachat, Carl, Lam, Tai Hing, Landrove, Orlando, Lanska, Vera, 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Si-Ramlee, Khairil, Siantar, Rosalynn, Sibai, Abla M, Santos Silva, Diego Augusto, Simon, Mary, Simons, Judith, Simons, Leon A, Sjöström, Michael, Skovbjerg, Sine, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smeeth, Liam, Smith, Margaret C, Snijder, Marieke B, So, Hung-Kwan, Sobngwi, Eugène, Söderberg, Stefan, Solfrizzi, Vincenzo, Sonestedt, Emily, Song, Yi, Sørensen, Thorkild I A, Soric, Maroje, Jérome, Charles Sossa, Soumare, Aicha, Staessen, Jan A, Stathopoulou, Maria G, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D, Stergiou, George S, Stessman, Jochanan, Stieber, Jutta, Stöckl, Dori, Stocks, Tanja, Stokwiszewski, Jakub, Stronks, Karien, Strufaldi, Maria Wany, Sun, Chien-An, Sung, Yn-Tz, Suriyawongpaisal, Paibul, Sy, Rody G, Shyong Tai, E, Tammesoo, Mari-Lii, Tamosiunas, Abdona, Tan, Eng Joo, Tang, Xun, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarqui-Mamani, Carolina B, Tautu, Oana-Florentina, Taylor, Anne, Theobald, Holger, Theodoridis, Xenophon, Thijs, Lutgarde, Thuesen, Betina H, Tjonneland, Anne, Tolonen, Hanna K, Tolstrup, Janne S, Topbas, Murat, Topór-Madry, Roman, Tormo, María José, Torrent, Matie, Traissac, Pierre, Trichopoulos, Dimitrio, Trichopoulou, Antonia, Trinh, Oanh T H, Trivedi, Atul, Tshepo, Lechaba, Tulloch-Reid, Marshall K, Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L, Tynelius, Per, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice E, Ulmer, Hanno, Uusitalo, Hannu M T, Valdivia, Gonzalo, Valvi, Damaskini, van der Schouw, Yvonne T, Van Herck, Koen, Van Minh, Hoang, van Rossem, Lenie, Van Schoor, Natasja M, van Valkengoed, Irene G M, Vanderschueren, Dirk, Vanuzzo, Diego, Vatten, Lar, Vega, Toma, Velasquez-Melendez, Gustavo, Veronesi, Giovanni, Monique Verschuren, W M, Verstraeten, Roosmarijn, Victora, Cesar G, Viet, Lucie, Viikari-Juntura, Eira, Vineis, Paolo, Vioque, Jesu, Virtanen, Jyrki K, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vlasoff, Tiina, Vollenweider, Peter, Voutilainen, Sari, Wade, Alisha N, Wagner, Aline, Walton, Janette, Wan Bebakar, Wan Mohamad, Wan Mohamud, Wan Nazaimoon, Wanderley, Rildo S, Wang, Ming-Dong, Wang, Qian, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nichola, Wedderkopp, Niel, Weerasekera, Deepa, Whincup, Peter H, Widhalm, Kurt, Widyahening, Indah S, Wiecek, Andrzej, Wijga, Alet H, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Williams, Emmanuel A, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A, Wong, Justin Y Y, Wong, Tien Yin, Woo, Jean, Giwercman Wu, Aleksander, Wu, Frederick C, Wu, Shouling, Xu, Haiquan, Yan, Weili, Yang, Xiaoguang, Ye, Xingwang, Yiallouros, Panayiotis K, Yoshihara, Akihiro, Younger-Coleman, Novie O, Yusoff, Ahmad Faudzi, Zainuddin, Ahmad Ali, Zambon, Sabina, Zampelas, Antoni, Zdrojewski, Tomasz, Zeng, Yi, Zhao, Dong, Zhao, Wenhua, Zheng, Wei, Zheng, Yingfeng, Zhu, Dan, Zhussupov, Baurzhan, Zimmermann, Esther, Cisneros, Julio Zuñiga, The State Key Laboratory of Cell Biology [Shanghai, China] (CAS Center for Excellence in Molecular Cell Science), Shanghai Institute of Biochemistry and Cell Biology [Shanghai, China]-University of Chinese Academy of Sciences [Shanghai, China], Imperial College London, University of Kentucky, Middlesex University, Cleveland Clinic, Universidad Peruana Cayetano Heredia (UPCH), Brandeis University, Mulago Hospital [Kampala, Ouganda], Department of Epidemiology and Public Health, Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), World Health Organisation (WHO), Al-Quds University, Discipline of Medicine, University of South Australia [Adelaide], Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán - National Institute of Medical Science and Nutrition Salvador Zubiran [Mexico], Leibniz Institute for Prevention Research and Epidemiology - BIPS, Leibniz Association, Centre for Industrial Management, Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Epidémiologie des maladies chroniques : impact des interactions gène environnement sur la santé des populations, Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé, Institute of Preventive Medicine, Copenhagen University Hospitals, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Dept. Atherosclerose, University of Iceland [Reykjavik], Institute for Biotechnology and Bioengineering (IBB), Technical University of Lisbon, Medical University of Łódź (MUL), Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid (UAM), Faculté de Médecine de Tunis, Université de Tunis El Manar (UTM), Sunder Lal Jain Hospital, Ufa Eye Research Institute [Bashkortostan], National Institute of Public Health, Department of Epidemiology, Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke (DifE), Leibniz Association-Leibniz Association, CHU Toulouse [Toulouse], Institute of Social and Preventive Medicine, Lausanne university hospital, Division of Clinical Epidemiology and Aging Research, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Department of Medical Sciences [Turin, Italy] (DMS), Università degli studi di Torino = University of Turin (UNITO), ASU - School for Engineering of Matter, Transport and Energy, Arizona State University [Tempe] (ASU), Universidade do Porto = University of Porto, University of Oxford [Oxford], Cancer & Radiation Epidemiology Unit, Gertner Institute, Chaim Sheba Medical Center, Consorcio de Investigación Biomédica en Red especializado en Epidemiología y Salud Pública (CIBERESP), Los Centros de Investigación Biomédica en Red (CIBER), 2nd Department of Internal Medicine, Molecular Medicine, Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven)-IRC KULAK, Department of Public Health, State University of Ghent, MRC Lifecourse Epidemiology Unit [Southampton, UK], University of Southampton, Réseau International des Instituts Pasteur (RIIP), Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Sahlgrenska University Hospital [Gothenburg], Institute of Metabolic Science, MRC, Institut National de Nutrition et de Technologie Alimentaire (INNTA), University of Huddersfield, IMIM-Hospital del Mar, Generalitat de Catalunya, Medstar Research Institute, Queen's University [Belfast] (QUB), Medical Research Council, Applied Sciences, National Research Institute on Food and Nutrition, Epidémiologie et analyses en santé publique : risques, maladies chroniques et handicaps (LEASP), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Infectious diseases division, Department of internal medicine, Washington University in Saint Louis (WUSTL), Innsbruck Medical University [Austria] (IMU), Department of Epidemiology [Rotterdam], Erasmus University Medical Center [Rotterdam] (Erasmus MC), Laboratoire d'Etude des Mammifères Marins (LEMM), Océanopolis [Brest], Faculté de Médecine Henri Warembourg - Université de Lille, Institute of Sport Science and Clinical Biomechanics, University of Southern Denmark (SDU), Icelandic Heart Association, Heart Preventive Clinic and Research Institute, Centro Investig Quim Aplicada, Coahuila, Mexico, Centro Investigacion en Quimica Aplicada, Coahuila, Mexico, University of Geneva [Switzerland], Department of Civil Engineering [Hamirpur], National Institute of Technology [Hamirpur], Health Services Research Unit, Danish Cancer Society, Institute of Cancer Epidemiology, London School of Hygiene and Tropical Medicine (LSHTM), University College of London [London] (UCL), The Georges Institute for International Health, The University of Sydney, School of Information Technology, Deakin University Waurn Ponds, Faculté de Médecine, Université Djilali Liabès [Sidi-Bel-Abbès], Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), CIBER de Epidemiología y Salud Pública (CIBERESP), VU University Medical Center [Amsterdam], Universiteit Gent = Ghent University [Belgium] (UGENT), Faculty of Agricultural and Food Science, American University of Beirut [Beyrouth] (AUB), Åbo Akademi University [Turku], Department of Public Health Sciences, Karolinska Institutet [Stockholm], Great Lakes Institute for Environmental Research, University of Windsor [Ca], Universität Heidelberg [Heidelberg], Research Center for Prevention and Health, University of Ljubljana, Division of Cancer Epidemiology, University of Crete School of medicine, School of Public Health and Clinical Nutrition, University of Eastern Finland, Institute of Epidemiology and Social Medicine, Westfälische Wilhelms-Universität Münster = University of Münster (WWU), Research Institute of Child Nutrition Dortmund, Rheinische Friedrich-Wilhelms-Universität Bonn, Cancer Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge [UK] (CAM), Department of Oncology, University of Tampere Medical School, University of Tampere, Wageningen University and Research [Wageningen] (WUR), Centre for Environmental Health, National Institue of Public Health, School of Public Health, The University of Hong Kong (HKU), Tehran University of Medical Sciences, Istituto Nazionale di Ricerca per gli Alimenti e la Nutrizione (INRAN), INRAN, National University of Singapore (NUS), Faculty of Medicine and Life Sciences [Tampere], University of Tampere [Finland], Centre Européen de Réalité Virtuelle (CERV), École Nationale d'Ingénieurs de Brest (ENIB), Uppsala Universitet [Uppsala], Department of Public Health and Community Medicine, University of Gothenburg (GU), Institute of Earthquake Science, CEA, Beijing, CEA, Beijing, University of Porto Medical School, Laboratoire de Chimie Physique D'Orsay (LCPO), Université Paris-Sud - Paris 11 (UP11)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Aging Program, National research council, Padua, Italy, Baker IDI Heart and Diabetes Institute, Institute of Internal Medicine, Russian Academy of Medical Sciences, Department of Nutrition and Dietetics, Harokopio University, Emory University [Atlanta, GA], Départment of Biotechnology, Faculty of Science, University of Oran Es-Senia [Oran] | Université d'Oran Es-Senia [Oran], Institut National de la Santé et de la Recherche Médicale (INSERM), University of Tartu, Department of Community, Université Ain Shams-Faculty of Medicine-Environmental and Occupational Medicine, Pécsi Tudemányegyetem, Department of Community, Environmental and Occupational Medicine, Université Ain Shams, Research Centre in Physical Activity, Health and Leisure, Nutrition and Metabolism Section, International Agency for Research on Cancer, Bushehr University of Medical Sciences, Institute of Epidemiology and Medical Biometry [Ulm, Allemagne], Universität Ulm - Ulm University [Ulm, Allemagne], Università degli studi di Palermo - University of Palermo, MRc Environmental Epidemiology Unit, Department of Cardiology and Department of Clinical Epidemiology, Aarhus University Hospital, Kumasi Centre for Collaborative Research in Tropical Medicine (KCCR), Department of Epidemiology and Population Studies, Jagiellonian University, Uniwersytet Jagielloński w Krakowie = Jagiellonian University (UJ), Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute – ISPO, Social Robotics Laboratory, University of Freiburg, Freiburg im Breisgau, Department of Ophthalmology, Universitätsklinikum Mannheim, Medizinische Fakultät Mannheim der Universität Heidelberg, University of Bari Aldo Moro (UNIBA), Department of Cardiology, Eastbourne General Hospital, Julius Center for Health Sciences and Primary Care, University Medical Center [Utrecht], Laboratoire d'Innovation pour les Technologies des Energies Nouvelles et les nanomatériaux (LITEN), Institut National de L'Energie Solaire (INES), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), King‘s College London, Public Health Sciences, University of Edinburgh, Movement Disorders and Tourette Centre, Genetica medicala, Victor Babeş University of Medicine and Pharmacy (UMFT), Andrology Unit, United Laboratories of Tartu University Clinics, Tampere University Hospital, Department of Hygiene and Epidemiology, Dept of Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Imperial College London-School of public health, The University of Hong Kong (HKU)-The University of Hong Kong (HKU), Department of Emergency and Cardiovascular Medicine, Sahlgrenska Academy, Institut de Veille Sanitaire (INVS), Department of Epidemiology, Murcia Regional Health Council, Murcia, Spain, parent, Department of Chronic Disease Prevention, National Institute for Health and Welfare [Helsinki], University of São Paulo (USP), Institut de Recherche pour le Développement (IRD [France-Sud]), Institute for plasma research, Institute for Plasma Research, Department of Biosciences and Nutrition, Department of Reproductive Endocrinology, Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam UMC - Academic medical center, Central Hospital and Faculty of medicine and biomedical sciences university, University of Yaoundé [Cameroun], Department of Clinical Sciences, Lund University [Lund]-Lund University Diabetes Centre, School of Computing [Leeds], University of Leeds, Copenhagen University Hospital, Neuroépidémiologie, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Maastricht University [Maastricht], Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire (IGE-PCV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Applied Food Science, Department of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, University of Amsterdam, Dept. of Social Medecine, Department of Medical Sciences and Uppsala Clinical Research Center, Uppsala University Hospital, Africa Centre for Health and Population Studies, University of KwaZulu-Natal [Durban, Afrique du Sud] (UKZN)-Medical Research Council of South Africa, Center for Family and Community Medicine, Department of Neurobiology, Care Sciences and Society, Department of Cardiovascular Sciences [Leuven], Cancer Epidemiology Institute, Department of Epidemiology and Health Promotion (MONICA Data Centre), National Public Health Institute, Nutrition et Alimentation des Populations aux Suds (NutriPass), Université Montpellier 1 (UM1)-Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Havard School of Public Health, Dept of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School [Athens], University of Kuopio, Tampere University, University Medical Centre Utrecht, Department of Social Medicine, Amsterdam, Center for Metabolic Bone Diseases, Catholic University of Leuven, Norwegian University of Science and Technology [Trondheim] (NTNU), Norwegian University of Science and Technology (NTNU), Universidad Miguel Hernández [Elche] (UMH), Institute of Public Health and Clinical Nutrition [Kuopio, Finland], Department of Internal Medicine, Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg (UNISTRA), Laboratoire Chrono-environnement - CNRS - UBFC (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Division of Community Health Sciences, St George's University of London, Medizinische Universität Wien = Medical University of Vienna, Medical University of Silesia (SUM), National Institute for Public Health and the Environment [Bilthoven] (RIVM), University of Innsbruck, National Institute of Hygiene Warsaw, Johns Hopkins University School of Medicine [Baltimore], Food Science and Technology, Beijing Forestry University, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics (CAE-NUAA), NUAA, Chinese Center for Disease Control and Prevention, Department of Applied Mathematics, School of Science, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, Siemens Corporate Research, Siemens AG [Munich], Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), This work was supported by the Wellcome Trust [101506/Z/13/Z]., NCD Risk Factor Collaboration (NCD-RisC). We thank WHO country and regional offices and the World Heart Federation for support in data identification and access., Universidad Autonoma de Madrid (UAM), University of Turin, Universidade do Porto, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Université Lille 2 - Faculté de Médecine, Westfälische Wilhelms-Universität Münster (WWU), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), University of KwaZulu-Natal (UKZN)-Medical Research Council of South Africa, Institut de Recherche pour le Développement (IRD)-Université Montpellier 1 (UM1)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM), Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS), Lund University Diabetes Centre-Lund University [Lund], Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Medical University of Silesia, Katowice, Apollo - University of Cambridge Repository, University of Kentucky (UK), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Lausanne University Hospital, University of Oxford, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Innsbruck Medical University = Medizinische Universität Innsbruck (IMU), Université de Genève = University of Geneva (UNIGE), Deakin University [Waurn Ponds], Universiteit Gent = Ghent University (UGENT), Universität Heidelberg [Heidelberg] = Heidelberg University, Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), Universidade de São Paulo = University of São Paulo (USP), Lund University [Lund], Laboratoire Chrono-environnement (UMR 6249) (LCE), Leopold Franzens Universität Innsbruck - University of Innsbruck, National Institute of Public Health - National Institute of Hygiene [Poland], Yiallouros, Panayiotis K. [0000-0002-8339-9285], Giampaoli, Simona [0000-0002-6679-1488], Moschonis, George [0000-0003-3009-6675], Papandreou, Dimitrios [0000-0002-4923-484X], Stathopoulou, Maria G. [0000-0003-4376-2083], Stergiou, George S. [0000-0002-6132-0038], Trichopoulou, Antonia [0000-0002-7204-6396], Valvi, Damaskini [0000-0003-4633-229X], Chen, Z, Woodward, M, Key, T, and Smith, M
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systolic blood pressure ,Settore MED/09 - Medicina Interna ,blood pressure measurement ,HEALTH EXAMINATION SURVEYS ,Blood Pressure ,Hypertension ,Population Health ,Global Health ,Non-communicable Disease ,Epidemiology ,[SDV]Life Sciences [q-bio] ,global health ,South Asia ,purl.org/pe-repo/ocde/ford#3.03.09 [https] ,kohonnut verenpaine ,Medicine and Health Sciences ,middle income country ,measurement method ,skin and connective tissue diseases ,VDP::Medisinske Fag: 700::Klinisk medisinske fag: 750::Kardiologi: 771 ,Public, Environmental & Occupational Health ,adult ,Population health ,public health ,blood pressure regulation ,Public Health, Global Health, Social Medicine and Epidemiology ,Non-communicable disease ,kansainvälinen vertailu ,health survey ,aged ,female ,priority journal ,Blood pressure ,mean arterial pressure ,GLOBAL TRENDS ,SODIUM-INTAKE ,Life Sciences & Biomedicine ,survey design ,hypertension ,prevalence ,Global health ,UNITED-STATES ,URBAN COMMUNITIES ,Article ,SECULAR TRENDS ,Middle East ,Central Asia ,male ,disease prevalence ,[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system ,kansanterveys ,blood ,SYSTEMATIC ANALYSIS ,human ,verenpainetauti ,non-communicable disease ,Science & Technology ,Pacific Ocean ,high income country ,diastolic blood pressure ,Pacific Rim ,Blood Pressure - Epidemiology - Population ,North Africa ,major clinical study ,HYPERTENSION PREVALENCE ,verenpaine ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,ARTERIAL-HYPERTENSION ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,POTASSIUM INTAKE ,sense organs ,trend analysis ,trend study ,population research ,population health ,[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology ,low income country - Abstract
Background: Change in the prevalence of raised blood pressure could be due to both shifts in the entire distribution of blood pressure (representing the combined effects of public health interventions and secular trends) and changes in its high-blood-pressure tail (representing successful clinical interventions to control blood pressure in the hypertensive population). Our aim was to quantify the contributions of these two phenomena to the worldwide trends in the prevalence of raised blood pressure. Methods: We pooled 1018 population-based studies with blood pressure measurements on 88.6 million participants from 1985 to 2016. We first calculated mean systolic blood pressure (SBP), mean diastolic blood pressure (DBP) and prevalence of raised blood pressure by sex and 10-year age group from 20-29 years to 70-79 years in each study, taking into account complex survey design and survey sample weights, where relevant. We used a linear mixed effect model to quantify the association between (probit-transformed) prevalence of raised blood pressure and age-group-and sex-specific mean blood pressure. We calculated the contributions of change in mean SBP and DBP, and of change in the prevalence-mean association, to the change in prevalence of raised blood pressure. Results: In 2005-16, at the same level of population mean SBP and DBP, men and women in South Asia and in Central Asia, the Middle East and North Africa would have the highest prevalence of raised blood pressure, and men and women in the high-income Asia Pacific and high-income Western regions would have the lowest. In most region-sex-age groups where the prevalence of raised blood pressure declined, one half or more of the decline was due to the decline in mean blood pressure. Where prevalence of raised blood pressure has increased, the change was entirely driven by increasing mean blood pressure, offset partly by the change in the prevalence-mean association. Conclusions: Change in mean blood pressure is the main driver of the worldwide change in the prevalence of raised blood pressure, but change in the high-blood-pressure tail of the distribution has also contributed to the change in prevalence, especially in older age groups., This work was supported by the Wellcome Trust [101506/Z/13/Z].
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16. Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure: a pooled analysis of 1018 population-based measurement studies with 88.6 million participants
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Kromhout, Daan
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hypertension ,HEALTH EXAMINATION SURVEYS ,global health ,UNITED-STATES ,HYPERTENSION PREVALENCE ,URBAN COMMUNITIES ,SECULAR TRENDS ,Blood pressure ,CARDIOVASCULAR RISK-FACTORS ,SYSTEMATIC ANALYSIS ,sense organs ,POTASSIUM INTAKE ,GLOBAL TRENDS ,SODIUM-INTAKE ,population health ,non-communicable disease - Abstract
Background: Change in the prevalence of raised blood pressure could be due to both shifts in the entire distribution of blood pressure (representing the combined effects of public health interventions and secular trends) and changes in its high-blood-pressure tail (representing successful clinical interventions to control blood pressure in the hypertensive population). Our aim was to quantify the contributions of these two phenomena to the worldwide trends in the prevalence of raised blood pressure. Methods: We pooled 1018 population-based studies with blood pressure measurements on 88.6 million participants from 1985 to 2016. We first calculated mean systolic blood pressure (SBP), mean diastolic blood pressure (DBP) and prevalence of raised blood pressure by sex and 10-year age group from 20-29 years to 70-79 years in each study, taking into account complex survey design and survey sample weights, where relevant. We used a linear mixed effect model to quantify the association between (probit-transformed) prevalence of raised blood pressure and age-group-and sex-specific mean blood pressure. We calculated the contributions of change in mean SBP and DBP, and of change in the prevalence-mean association, to the change in prevalence of raised blood pressure. Results: In 2005-16, at the same level of population mean SBP and DBP, men and women in South Asia and in Central Asia, the Middle East and North Africa would have the highest prevalence of raised blood pressure, and men and women in the high-income Asia Pacific and high-income Western regions would have the lowest. In most region-sex-age groups where the prevalence of raised blood pressure declined, one half or more of the decline was due to the decline in mean blood pressure. Where prevalence of raised blood pressure has increased, the change was entirely driven by increasing mean blood pressure, offset partly by the change in the prevalence-mean association. Conclusions: Change in mean blood pressure is the main driver of the worldwide change in the prevalence of raised blood pressure, but change in the high-blood-pressure tail of the distribution has also contributed to the change in prevalence, especially in older age groups.
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- 2018
17. Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure : a pooled analysis of 1018 population-based measurement studies with 88.6 million participants
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Zhou, Bin, Bentham, James, Di Cesare, Mariachiara, Bixby, Honor, Danaei, Goodarz, Hajifathalian, Kaveh, Taddei, Cristina, Carrillo-Larco, Rodrigo M., Djalalinia, Shirin, Khatibzadeh, Shahab, Lugero, Charles, Peykari, Niloofar, Zhang, Wan Zhu, Bennett, James, Bilano, Ver, Stevens, Gretchen A., Cowan, Melanie J., Riley, Leanne M., Chen, Zhengming, Hambleton, Ian R., Jackson, Rod T., Kengne, Andre Pascal, Khang, Young-Ho, Laxmaiah, Avula, Liu, Jing, Malekzadeh, Reza, Neuhauser, Hannelore K., Soric, Maroje, Starc, Gregor, Sundstrom, Johan, Woodward, Mark, Ezzati, Majid, Abarca-Gomez, Leandra, Abdeen, Ziad A., Abu-Rmeileh, Niveen M., Acosta-Cazares, Benjamin, Adams, Robert J., Aekplakorn, Wichai, Afsana, Kaosar, Aguilar-Salinas, Carlos A., Agyemang, Charles, Ahmad, Noor Ani, Ahmadvand, Alireza, Ahrens, Wolfgang, Ajlouni, Kamel, Akhtaeva, Nazgul, Eriksson, Johan G., Kajantie, Eero O., Kauhanen, Jussi, Peltonen, Markku, Salonen, Jukka Tapio, Saramies, Jouko L., Department of Public Health, Clinicum, and HYKS erva
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hypertension ,HEALTH EXAMINATION SURVEYS ,global health ,UNITED-STATES ,HYPERTENSION PREVALENCE ,URBAN COMMUNITIES ,3142 Public health care science, environmental and occupational health ,SECULAR TRENDS ,Blood pressure ,SYSTEMATIC ANALYSIS ,ARTERIAL-HYPERTENSION ,sense organs ,POTASSIUM INTAKE ,GLOBAL TRENDS ,SODIUM-INTAKE ,population health ,non-communicable disease - Abstract
Background: Change in the prevalence of raised blood pressure could be due to both shifts in the entire distribution of blood pressure (representing the combined effects of public health interventions and secular trends) and changes in its high-blood-pressure tail (representing successful clinical interventions to control blood pressure in the hypertensive population). Our aim was to quantify the contributions of these two phenomena to the worldwide trends in the prevalence of raised blood pressure. Methods: We pooled 1018 population-based studies with blood pressure measurements on 88.6 million participants from 1985 to 2016. We first calculated mean systolic blood pressure (SBP), mean diastolic blood pressure (DBP) and prevalence of raised blood pressure by sex and 10-year age group from 20-29 years to 70-79 years in each study, taking into account complex survey design and survey sample weights, where relevant. We used a linear mixed effect model to quantify the association between (probit-transformed) prevalence of raised blood pressure and age-group-and sex-specific mean blood pressure. We calculated the contributions of change in mean SBP and DBP, and of change in the prevalence-mean association, to the change in prevalence of raised blood pressure. Results: In 2005-16, at the same level of population mean SBP and DBP, men and women in South Asia and in Central Asia, the Middle East and North Africa would have the highest prevalence of raised blood pressure, and men and women in the high-income Asia Pacific and high-income Western regions would have the lowest. In most region-sex-age groups where the prevalence of raised blood pressure declined, one half or more of the decline was due to the decline in mean blood pressure. Where prevalence of raised blood pressure has increased, the change was entirely driven by increasing mean blood pressure, offset partly by the change in the prevalence-mean association. Conclusions: Change in mean blood pressure is the main driver of the worldwide change in the prevalence of raised blood pressure, but change in the high-blood-pressure tail of the distribution has also contributed to the change in prevalence, especially in older age groups.
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- 2018
18. Health Examination Surveys and Human Biomonitoring – the added value of combined studies
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Namorado, Sónia
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Health Examination Surveys ,Biomonitorização humana ,Human Biomonitoring ,Chemical Exposure ,Determinantes da Saúde e da Doença ,Human Health - Abstract
Health Examination Surveys (HES) are health surveys where information collected by questionnaire is complemented with information obtained through physical measurements, such as blood pressure and anthropometric measurements, and through clinical analysis of biological samples. Between 2000 and 2017, 15 European countries have conducted a national HES and in many countries smaller, regional or disease specific surveys have been carried out. Portugal is one of the countries that has recently conducted a first National Health Examination Survey (INSEF), which collected interview and anthropometric data and blood samples in a nationally representative sample of 4911 individuals aged between 25 and 74 years old. Human Biomonitoring (HBM) is a scientific approach used to assess individual human exposure to environmental chemicals by measuring substances, their metabolites or reaction products in biological specimens. Many countries have established HBM programs to monitor the chemical exposures of their populations. HES and HBM studies are very similar in terms of the infrastructure and procedures necessary for their implementation, as in either type of studies data is collected through fieldwork, which constitutes one of the largest expenditures for such studies. Combined studies could then result in more costeffective ways to conduct health and environmental monitoring. Some countries, like the USA, Canada, Germany, Belgium and France have already recognized the potential to combine these two types of studies and have successfully implemented surveys with both components. However, in practice, the opportunity for adding an HBM module to a health study and vice versa is rarely used. Reasons for this may be multifarious and may differ from country to country, and between different study settings. Within the HBM4EU project the advantages and obstacles of combined studies are being evaluated and feasibility studies will be conducted in order to identify practical/logistic, financial and scientific benefits and short comings. No âmbito do projeto HBM4EU, da qual fazem parte a Fundação para a Ciência e Tecnologia, I.P. (FCT), o Instituto Nacional de Saúde Dr. Ricardo Jorge, I.P. (INSA), a Direção Geral de Saúde (DGS) e a Agência Portuguesa do Ambiente, I.P. (APA), em parceria com a Faculdade de Medicina, Universidade de Lisboa (FMUL) e a Escola Superior de Tecnologia da Saúde Lisboa (ESTeSL), Instituto Politécnico de Lisboa. N/A
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- 2018
19. Regional contributions of six preventable risk factors to achieving the 25 × 25 non-communicable disease mortality reduction target: a modelling study
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Gretchen A Stevens, Anselm Hennis, Ruth Bonita, Kevin D. Shield, Majid Ezzati, Vladimir Poznyak, Colin Mathers, Heba Fouad, Leanne M. Riley, Samer Jabbour, Renu Garg, Robert Beaglehole, Jürgen Rehm, and Vasilis Kontis
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Gerontology ,MILLION PARTICIPANTS ,Blood Glucose ,Male ,HEALTH EXAMINATION SURVEYS ,Health Behavior ,Respiratory Tract Diseases ,Psychological intervention ,Smoking Prevention ,Blood Pressure ,Global Health ,Risk Factors ,Neoplasms ,Epidemiology ,Global health ,Public, Environmental & Occupational Health ,lcsh:Public aspects of medicine ,Tobacco control ,Smoking ,TOBACCO USE ,General Medicine ,Middle Aged ,CARDIOVASCULAR-DISEASE ,Cardiovascular Diseases ,Female ,GLOBAL TRENDS ,Life Sciences & Biomedicine ,Goals ,Adult ,medicine.medical_specialty ,PROSPECTIVE COHORTS ,Alcohol Drinking ,HEART-DISEASE ,Models, Biological ,POOLED ANALYSIS ,Environmental health ,medicine ,SYSTEMATIC ANALYSIS ,Diabetes Mellitus ,Humans ,Obesity ,Salt intake ,Risk factor ,Sodium Chloride, Dietary ,Life Style ,Aged ,Science & Technology ,business.industry ,Mortality, Premature ,lcsh:RA1-1270 ,Non-communicable disease ,medicine.disease ,Relative risk ,business - Abstract
Summary Background Countries have agreed to reduce premature mortality from the four main non-communicable diseases (NCDs) by 25% from 2010 levels by 2025 (referred to as the 25 × 25 target). Countries also agreed on a set of global voluntary targets for selected NCD risk factors. Previous analyses have shown that achieving the risk factor targets can contribute substantially towards meeting the 25 × 25 mortality target at the global level. We estimated the contribution of achieving six of the globally agreed risk factor targets towards meeting the 25 × 25 mortality target by region. Methods We estimated the effect of achieving the targets for six risk factors (tobacco and alcohol use, salt intake, obesity, and raised blood pressure and glucose) on NCD mortality between 2010 and 2025. Our methods accounted for multicausality of NCDs and for the fact that, when risk factor exposure increases or decreases, the harmful or beneficial effects on NCDs accumulate gradually. We used data for risk factor and mortality trends from systematic analyses of available country data. Relative risks for the effects of individual and multiple risks, and for change in risk after decreases or increases in exposure, were from reanalyses and meta-analyses of epidemiological studies. Findings The probability of dying between the ages 30 years and 70 years from the four main NCDs in 2010 ranged from 19% in the region of the Americas to 29% in southeast Asia for men, and from 13% in Europe to 21% in southeast Asia for women. If current trends continue, the probability of dying prematurely from the four main NCDs is projected to increase in the African region but decrease in the other five regions. If the risk factor targets are achieved, the 25 × 25 target will be surpassed in Europe in both men and women, and will be achieved in women (and almost achieved in men) in the western Pacific; the regions of the Americas, the eastern Mediterranean, and southeast Asia will approach the target; and the rising trend in Africa will be reversed. In most regions, a more ambitious approach to tobacco control (50% reduction relative to 2010 instead of the agreed 30%) will contribute the most to reducing premature NCD mortality among men, followed by addressing raised blood pressure and the agreed tobacco target. For women, the highest contributing risk factor towards the premature NCD mortality target will be raised blood pressure in every region except Europe and the Americas, where the ambitious (but not agreed) tobacco reduction would have the largest benefit. Interpretation No WHO region will meet the 25 × 25 premature mortality target if current mortality trends continue. Achieving the agreed targets for the six risk factors will allow some regions to meet the 25 × 25 target and others to approach it. Meeting the 25 × 25 target in Africa needs other interventions, including those addressing infection-related cancers and cardiovascular disease. Funding UK Medical Research Council.
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- 2015
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20. Statistical modelling of selective non-participation in health examination surveys
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valikoituminen ,ta112 ,osallistujat ,valintaharha ,health examination surveys ,bayesilainen menetelmä ,tilastomenetelmät ,selection bias ,terveystarkastukset ,imputointi ,survey-tutkimus - Published
- 2018
21. Bayesian models for data missing not at random in health examination surveys
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Juho Kopra, Tommi Härkänen, and Juha Karvanen
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Statistics and Probability ,FOS: Computer and information sciences ,medicine.medical_specialty ,multiple imputation ,Computer science ,Bayesian probability ,01 natural sciences ,Statistics - Applications ,survival analysis ,follow-up data ,Methodology (stat.ME) ,010104 statistics & probability ,03 medical and health sciences ,Health examination ,0302 clinical medicine ,Epidemiology ,Statistics ,medicine ,Applications (stat.AP) ,030212 general & internal medicine ,0101 mathematics ,Survival analysis ,Statistics - Methodology ,Bayes estimator ,ta112 ,elinaika-analyysi ,Risk factor (computing) ,Bayesian estimation ,3. Good health ,health examination surveys ,Statistics, Probability and Uncertainty ,Missing not at random ,data augmentation - Abstract
In epidemiological surveys, data missing not at random (MNAR) due to survey nonresponse may potentially lead to a bias in the risk factor estimates. We propose an approach based on Bayesian data augmentation and survival modelling to reduce the nonresponse bias. The approach requires additional information based on follow-up data. We present a case study of smoking prevalence using FINRISK data collected between 1972 and 2007 with a follow-up to the end of 2012 and compare it to other commonly applied missing at random (MAR) imputation approaches. A simulation experiment is carried out to study the validity of the approaches. Our approach appears to reduce the nonresponse bias substantially, where as MAR imputation was not successful in bias reduction., 19 pages, 2 figures
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- 2018
22. Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19.1 million participants
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Zhou, Bin, Bentham, James, Di Cesare, Mariachiara, Bixby, Honor, Danaei, Goodarz, Cowan, Melanie J., Paciorek, Christopher J., Singh, Gitanjali M, Hajifathalian, Kaveh, Bennett, James E., Taddei, Cristina, Bilano, Ver, Carrillo-Larco, Rodrigo M., Djalalinia, Shirin, Khatibzadeh, Shahab, Lugero, Charles, Peykari, Niloofar, Zhang, Wan Zhu, Lu, Yuan, Stevens, Gretchen A., Riley, Leanne M., Bovet, Pascal, Elliott, Paul, Gu, Dongfeng, Ikeda, Nayu, Jackson, Rod T., Joffres, Michel, Kengne, Andre-Pascal, Laatikainen, Tiina, Lam, Tai Hing, Laxmaiah, Avula, Liu, Jing, Miranda, J. Jaime, Mondo, Charles K., Neuhauser, Hannelore K., Sundstrom, Johan, Smeeth, Liam, Soric, Maroje, Woodward, Mark, Ezzati, Majid, Abarca-Gomez, Leandra, Abdeen, Ziad A., Rahim, Hanan Abdul, Abu-Rmeileh, Niveen Me, Acosta-Cazares, Benjamin, Adams, Robert, Aekplakorn, Wichai, Afsana, Kaosar, Aguilar-Salinas, Carlos A, and Kromhout, Daan
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GENDER-DIFFERENCES ,HEALTH EXAMINATION SURVEYS ,MONICA PROJECT ,CARDIOVASCULAR RISK-FACTORS ,SYSTEMATIC ANALYSIS ,UNITED-STATES ,INCOME COUNTRIES ,GLOBAL BURDEN ,HYPERTENSION PREVALENCE ,SECULAR TRENDS - Abstract
Background Raised blood pressure is an important risk factor for cardiovascular diseases and chronic kidney disease. We estimated worldwide trends in mean systolic and mean diastolic blood pressure, and the prevalence of, and number of people with, raised blood pressure, defined as systolic blood pressure of 140 mm Hg or higher or diastolic blood pressure of 90 mm Hg or higher. Methods For this analysis, we pooled national, subnational, or community population-based studies that had measured blood pressure in adults aged 18 years and older. We used a Bayesian hierarchical model to estimate trends from 1975 to 2015 in mean systolic and mean diastolic blood pressure, and the prevalence of raised blood pressure for 200 countries. We calculated the contributions of changes in prevalence versus population growth and ageing to the increase in the number of adults with raised blood pressure. Findings We pooled 1479 studies that had measured the blood pressures of 19.1 million adults. Global age-standardised mean systolic blood pressure in 2015 was 127.0 mm Hg (95% credible interval 125.7-128.3) in men and 122.3 mm Hg (121.0-123.6) in women; age-standardised mean diastolic blood pressure was 78.7 mm Hg (77.9-79.5) for men and 76.7 mm Hg (75.9-77.6) for women. Global age-standardised prevalence of raised blood pressure was 24.1% (21.4-27.1) in men and 20.1% (17.8-22.5) in women in 2015. Mean systolic and mean diastolic blood pressure decreased substantially from 1975 to 2015 in high-income western and Asia Pacific countries, moving these countries from having some of the highest worldwide blood pressure in 1975 to the lowest in 2015. Mean blood pressure also decreased in women in central and eastern Europe, Latin America and the Caribbean, and, more recently, central Asia, Middle East, and north Africa, but the estimated trends in these super-regions had larger uncertainty than in high-income super-regions. By contrast, mean blood pressure might have increased in east and southeast Asia, south Asia, Oceania, and sub-Saharan Africa. In 2015, central and eastern Europe, sub-Saharan Africa, and south Asia had the highest blood pressure levels. Prevalence of raised blood pressure decreased in high-income and some middle-income countries; it remained unchanged elsewhere. The number of adults with raised blood pressure increased from 594 million in 1975 to 1.13 billion in 2015, with the increase largely in low-income and middle-income countries. The global increase in the number of adults with raised blood pressure is a net effect of increase due to population growth and ageing, and decrease due to declining age-specific prevalence. Interpretation During the past four decades, the highest worldwide blood pressure levels have shifted from high-income countries to low-income countries in south Asia and sub-Saharan Africa due to opposite trends, while blood pressure has been persistently high in central and eastern Europe. Funding Wellcome Trust. Copyright (C) The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license.
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- 2017
23. Worldwide trends in blood pressure from 1975 to 2015 : a pooled analysis of 1479 population-based measurement studies with 19.1 million participants
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NCD Risk Factor Collaboration, Zhou, Bin, Laatikainen, Tiina, Kauhanen, Jussi, Niiranen, Teemu J., Peltonen, Markku, Salonen, Jukka T., Juolevi, Anne, Koskinen, Seppo, Kuulasmaa, Kari, Marrugat, Jaume, Salomaa, Veikko, Tolonen, Hanna K., Viikari-Juntura, Eira, and Faculty of Medicine
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GENDER-DIFFERENCES ,HEALTH EXAMINATION SURVEYS ,3121 General medicine, internal medicine and other clinical medicine ,CARDIOVASCULAR RISK-FACTORS ,SYSTEMATIC ANALYSIS ,UNITED-STATES ,LOW-INCOME ,GLOBAL BURDEN ,SODIUM-INTAKE ,HYPERTENSION PREVALENCE ,SECULAR TRENDS - Abstract
Background Raised blood pressure is an important risk factor for cardiovascular diseases and chronic kidney disease. We estimated worldwide trends in mean systolic and mean diastolic blood pressure, and the prevalence of, and number of people with, raised blood pressure, defined as systolic blood pressure of 140 mm Hg or higher or diastolic blood pressure of 90 mm Hg or higher. Methods For this analysis, we pooled national, subnational, or community population-based studies that had measured blood pressure in adults aged 18 years and older. We used a Bayesian hierarchical model to estimate trends from 1975 to 2015 in mean systolic and mean diastolic blood pressure, and the prevalence of raised blood pressure for 200 countries. We calculated the contributions of changes in prevalence versus population growth and ageing to the increase in the number of adults with raised blood pressure. Findings We pooled 1479 studies that had measured the blood pressures of 19.1 million adults. Global age-standardised mean systolic blood pressure in 2015 was 127.0 mm Hg (95% credible interval 125.7-128.3) in men and 122.3 mm Hg (121.0-123.6) in women; age-standardised mean diastolic blood pressure was 78.7 mm Hg (77.9-79.5) for men and 76.7 mm Hg (75.9-77.6) for women. Global age-standardised prevalence of raised blood pressure was 24.1% (21.4-27.1) in men and 20.1% (17.8-22.5) in women in 2015. Mean systolic and mean diastolic blood pressure decreased substantially from 1975 to 2015 in high-income western and Asia Pacific countries, moving these countries from having some of the highest worldwide blood pressure in 1975 to the lowest in 2015. Mean blood pressure also decreased in women in central and eastern Europe, Latin America and the Caribbean, and, more recently, central Asia, Middle East, and north Africa, but the estimated trends in these super-regions had larger uncertainty than in high-income super-regions. By contrast, mean blood pressure might have increased in east and southeast Asia, south Asia, Oceania, and sub-Saharan Africa. In 2015, central and eastern Europe, sub-Saharan Africa, and south Asia had the highest blood pressure levels. Prevalence of raised blood pressure decreased in high-income and some middle-income countries; it remained unchanged elsewhere. The number of adults with raised blood pressure increased from 594 million in 1975 to 1.13 billion in 2015, with the increase largely in low-income and middle-income countries. The global increase in the number of adults with raised blood pressure is a net effect of increase due to population growth and ageing, and decrease due to declining age-specific prevalence. Interpretation During the past four decades, the highest worldwide blood pressure levels have shifted from high-income countries to low-income countries in south Asia and sub-Saharan Africa due to opposite trends, while blood pressure has been persistently high in central and eastern Europe. Funding Wellcome Trust. Copyright (C) The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license.
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- 2017
24. Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1,479 population-based measurement studies with 19.1 million participants
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Zhou, B, Bentham, J, Di Cesare, M, Bixby, H, Danaei, G, Cowan, MJ, Paciorek, CJ, Singh, G, Hajifathalian, K, Bennett, JE, Taddei, C, Bilano, V, Carrillo-Larco, RM, Djalalinia, S, Khatibzadeh, S, Lugero, C, Peykari, N, Zhang, WZ, Lu, Y, Stevens, GA, Riley, LM, Bovet, P, Elliott, P, Gu, D, Ikeda, N, Jackson, RT, Joffres, M, Kengne, AP, Laatikainen, T, Lam, TH, Laxmaiah, A, Liu, J, Miranda, JJ, Mondo, CK, Neuhauser, HK, Sundstrom, J, Smeeth, L, Soric, M, Woodward, M, Ezzati, M, University Medical Center Utrecht, National Institute for Health Research, Wellcome Trust, Medical Research Council (MRC), and Public Health England
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GENDER-DIFFERENCES ,Science & Technology ,HEALTH EXAMINATION SURVEYS ,UNITED-STATES ,11 Medical And Health Sciences ,GLOBAL BURDEN ,HYPERTENSION PREVALENCE ,SECULAR TRENDS ,Medicine, General & Internal ,General & Internal Medicine ,MONICA PROJECT ,CARDIOVASCULAR RISK-FACTORS ,SYSTEMATIC ANALYSIS ,INCOME COUNTRIES ,Life Sciences & Biomedicine - Abstract
Background Raised blood pressure is an important risk factor for cardiovascular diseases and chronic kidney disease. We estimated worldwide trends in mean systolic and mean diastolic blood pressure, and the prevalence of, and number of people with, raised blood pressure, defined as systolic blood pressure of 140 mm Hg or higher or diastolic blood pressure of 90 mm Hg or higher. Methods For this analysis, we pooled national, subnational, or community population-based studies that had measured blood pressure in adults aged 18 years and older. We used a Bayesian hierarchical model to estimate trends from 1975 to 2015 in mean systolic and mean diastolic blood pressure, and the prevalence of raised blood pressure for 200 countries. We calculated the contributions of changes in prevalence versus population growth and ageing to the increase in the number of adults with raised blood pressure. Findings We pooled 1479 studies that had measured the blood pressures of 19·1 million adults. Global age-standardised mean systolic blood pressure in 2015 was 127·0 mm Hg (95% credible interval 125·7–128·3) in men and 122·3 mm Hg (121·0–123·6) in women; age-standardised mean diastolic blood pressure was 78·7 mm Hg (77·9–79·5) for men and 76·7 mm Hg (75·9–77·6) for women. Global age-standardised prevalence of raised blood pressure was 24·1% (21·4–27·1) in men and 20·1% (17·8–22·5) in women in 2015. Mean systolic and mean diastolic blood pressure decreased substantially from 1975 to 2015 in high-income western and Asia Pacific countries, moving these countries from having some of the highest worldwide blood pressure in 1975 to the lowest in 2015. Mean blood pressure also decreased in women in central and eastern Europe, Latin America and the Caribbean, and, more recently, central Asia, Middle East, and north Africa, but the estimated trends in these super-regions had larger uncertainty than in high-income super-regions. By contrast, mean blood pressure might have increased in east and southeast Asia, south Asia, Oceania, and sub-Saharan Africa. In 2015, central and eastern Europe, sub-Saharan Africa, and south Asia had the highest blood pressure levels. Prevalence of raised blood pressure decreased in high-income and some middle-income countries; it remained unchanged elsewhere. The number of adults with raised blood pressure increased from 594 million in 1975 to 1·13 billion in 2015, with the increase largely in low-income and middle-income countries. The global increase in the number of adults with raised blood pressure is a net effect of increase due to population growth and ageing, and decrease due to declining age-specific prevalence. Interpretation During the past four decades, the highest worldwide blood pressure levels have shifted from high-income countries to low-income countries in south Asia and sub-Saharan Africa due to opposite trends, while blood pressure has been persistently high in central and eastern Europe.
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- 2016
25. Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure
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hypertension ,HEALTH EXAMINATION SURVEYS ,global health ,UNITED-STATES ,HYPERTENSION PREVALENCE ,URBAN COMMUNITIES ,SECULAR TRENDS ,Blood pressure ,CARDIOVASCULAR RISK-FACTORS ,SYSTEMATIC ANALYSIS ,sense organs ,POTASSIUM INTAKE ,GLOBAL TRENDS ,SODIUM-INTAKE ,population health ,non-communicable disease - Abstract
Background: Change in the prevalence of raised blood pressure could be due to both shifts in the entire distribution of blood pressure (representing the combined effects of public health interventions and secular trends) and changes in its high-blood-pressure tail (representing successful clinical interventions to control blood pressure in the hypertensive population). Our aim was to quantify the contributions of these two phenomena to the worldwide trends in the prevalence of raised blood pressure. Methods: We pooled 1018 population-based studies with blood pressure measurements on 88.6 million participants from 1985 to 2016. We first calculated mean systolic blood pressure (SBP), mean diastolic blood pressure (DBP) and prevalence of raised blood pressure by sex and 10-year age group from 20-29 years to 70-79 years in each study, taking into account complex survey design and survey sample weights, where relevant. We used a linear mixed effect model to quantify the association between (probit-transformed) prevalence of raised blood pressure and age-group-and sex-specific mean blood pressure. We calculated the contributions of change in mean SBP and DBP, and of change in the prevalence-mean association, to the change in prevalence of raised blood pressure. Results: In 2005-16, at the same level of population mean SBP and DBP, men and women in South Asia and in Central Asia, the Middle East and North Africa would have the highest prevalence of raised blood pressure, and men and women in the high-income Asia Pacific and high-income Western regions would have the lowest. In most region-sex-age groups where the prevalence of raised blood pressure declined, one half or more of the decline was due to the decline in mean blood pressure. Where prevalence of raised blood pressure has increased, the change was entirely driven by increasing mean blood pressure, offset partly by the change in the prevalence-mean association. Conclusions: Change in mean blood pressure is the main driver of the worldwide change in the prevalence of raised blood pressure, but change in the high-blood-pressure tail of the distribution has also contributed to the change in prevalence, especially in older age groups.
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- 2018
26. Worldwide trends in diabetes since 1980: A pooled analysis of 751 population-based studies with 4·4 million participants
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Zhou, B, Lu, Y, Hajifathalian, K, Bentham, J, Di Cesare, M, Danaei, G, Bixby, H, Cowan, MJ, Ali, MK, Taddei, C, Lo, WC, Reis-Santos, B, Stevens, GA, Riley, LM, Miranda, JJ, Bjerregaard, P, Rivera, JA, Fouad, HM, Ma, G, Mbanya, JC, McGarvey, ST, Mohan, V, Onat, A, Pilav, A, Ramachandran, A, Romdhane, HB, Paciorek, CJ, Bennett, JE, Ezzati, M, Abdeen, ZA, Abdul Kadir, K, Abu-Rmeileh, NM, Acosta-Cazares, B, Adams, R, Aekplakorn, W, Aguilar-Salinas, CA, Agyemang, C, Ahmadvand, A, Al-Othman, AR, Alkerwi, A, Amouyel, P, Amuzu, A, Andersen, LB, Anderssen, SA, Anjana, RM, Aounallah-Skhiri, H, Aris, T, Arlappa, N, Arveiler, D, Assah, FK, Avdicová, M, Azizi, F, Balakrishna, N, Bandosz, P, Barbagallo, CM, Barceló, A, Batieha, AM, Baur, LA, Benet, M, Bernabe-Ortiz, A, Bharadwaj, S, Bhargava, SK, Bi, Y, Bjertness, E, Bjertness, MB, Björkelund, C, Blokstra, A, Bo, S, Boehm, BO, Boissonnet, CP, Bovet, P, Brajkovich, I, Breckenkamp, J, Brenner, H, Brewster, LM, Brian, GR, Bruno, G, Bugge, A, Cabrera de León, A, Can, G, Cândido, AP, Capuano, V, Carlsson, AC, Carvalho, MJ, Casanueva, FF, Casas, JP, Caserta, CA, Castetbon, K, Chamukuttan, S, Chaturvedi, N, Chen, CJ, Chen, F, Chen, S, Cheng, CY, Chetrit, A, Chiou, ST, Cho, Y, Chudek, J, Cifkova, R, Claessens, F, Concin, H, Cooper, C, Cooper, R, Costanzo, S, Cottel, D, Cowell, C, Crujeiras, AB, D'Arrigo, G, Dallongeville, J, Dankner, R, Dauchet, L, de Gaetano, G, De Henauw, S, Deepa, M, Dehghan, A, Deschamps, V, Dhana, K, Di Castelnuovo, AF, Djalalinia, S, Doua, K, Drygas, W, Du, Y, Dzerve, V, Egbagbe, EE, Eggertsen, R, El Ati, J, Elosua, R, Erasmus, RT, Erem, C, Ergor, G, Eriksen, L, Escobedo-de la Peña, J, Fall, CH, Farzadfar, F, Felix-Redondo, FJ, Ferguson, TS, Fernández-Bergés, D, Ferrari, M, Ferreccio, C, Feskens, EJ, Finn, JD, Föger, B, Foo, LH, Forslund, AS, Francis, DK, Franco Mdo, C, Franco, OH, Frontera, G, Furusawa, T, Gaciong, Z, Garnett, SP, Gaspoz, JM, Gasull, M, Gates, L, Geleijnse, JM, Ghasemian, A, Ghimire, A, Giampaoli, S, Gianfagna, F, Giovannelli, J, Giwercman, A, Gross, MG, González Rivas, JP, Gorbea, MB, Gottrand, F, Grafnetter, D, Grodzicki, T, Grøntved, A, Gruden, G, Gu, D, Guan, OP, Guerrero, R, Guessous, I, Guimaraes, AL, Gutierrez, L, Hambleton, IR, Hardy, R, Hari Kumar, R, Hata, J, He, J, Heidemann, C, Herrala, S, Hihtaniemi, IT, Ho, SY, Ho, SC, Hofman, A, Hormiga, CM, Horta, BL, Houti, L, Howitt, C, Htay, TT, Htet, AS, Htike, MM, Hu, Y, Hussieni, AS, Huybrechts, I, Hwalla, N, Iacoviello, L, Iannone, AG, Ibrahim, MM, Ikeda, N, Ikram, MA, Irazola, VE, Islam, M, Iwasaki, M, Jacobs, JM, Jafar, T, Jamil, KM, Jasienska, G, Jiang, CQ, Jonas, JB, Joshi, P, Kafatos, A, Kalter-Leibovici, O, Kasaeian, A, Katz, J, Kaur, P, Kavousi, M, Keinänen-Kiukaanniemi, S, Kelishadi, R, Kengne, AP, Kersting, M, Khader, YS, Khalili, D, Khang, YH, Kiechl, S, Kim, J, Kolsteren, P, Korrovits, P, Kratzer, W, Kromhout, D, Kujala, UM, Kula, K, Kyobutungi, C, Laatikainen, T, Lachat, C, Laid, Y, Lam, TH, Landrove, O, Lanska, V, Lappas, G, Laxmaiah, A, Leclercq, C, Lee, J, Lehtimäki, T, Lekhraj, R, León-Muñoz, LM, Li, Y, Lim, WY, Lima-Costa, MF, Lin, HH, Lin, X, Lissner, L, Lorbeer, R, Lozano, JE, Luksiene, D, Lundqvist, A, Lytsy, P, Machado-Coelho, GL, Machi, S, Maggi, S, Magliano, DJ, Makdisse, M, Mallikharjuna Rao, K, Manios, Y, Manzato, E, Margozzini, P, Marques-Vidal, P, Martorell, R, Masoodi, SR, Mathiesen, EB, Matsha, TE, McFarlane, SR, McLachlan, S, McNulty, BA, Mediene-Benchekor, S, Meirhaeghe, A, Menezes, AM, Merat, S, Meshram, II, Mi, J, Miquel, JF, Mohamed, MK, Mohammad, K, Mohammadifard, N, Mohd Yusoff, MF, Møller, NC, Molnár, D, Mondo, CK, Morejon, A, Moreno, LA, Morgan, K, Moschonis, G, Mossakowska, M, Mostafa, A, Mota, J, Motta, J, Mu, TT, Muiesan, ML, Müller-Nurasyid, M, Mursu, J, Nagel, G, Námešná, J, Nang, EE, NangThetia, VB, Navarrete-Muñoz, EM, Ndiaye, NC, Nenko, I, Nervi, F, Nguyen, ND, Nguyen, QN, Nieto-Martínez, RE, Ning, G, Ninomiya, T, Noale, M, Noto, D, Nsour, MA, Ochoa-Avilés, AM, Oh, K, Ordunez, P, Osmond, C, Otero, JA, Owusu-Dabo, E, Pahomova, E, Palmieri, L, Panda-Jonas, S, Panza, F, Parsaeian, M, Peixoto, SV, Pelletier, C, Peltonen, M, Peters, A, Peykari, N, Pham, ST, Pitakaka, F, Piwonska, A, Piwonski, J, Plans-Rubió, P, Porta, M, Portegies, ML, Poustchi, H, Pradeepa, R, Price, JF, Punab, M, Qasrawi, RF, Qorbani, M, Radisauskas, R, Rahman, M, Raitakari, O, Rao, SR, Ramke, J, Ramos, R, Rampal, S, Rathmann, W, Redon, J, Reganit, PF, Rigo, F, Robinson, SM, Robitaille, C, Rodríguez-Artalejo, F, Rodriguez-Perez Mdel, C, Rodríguez-Villamizar, LA, Rojas-Martinez, R, Ronkainen, K, Rosengren, A, Rubinstein, A, Ornelas, Rui, Ruiz-Betancourt, BS, Russo Horimoto, RV, Rutkowski, M, Sabanayagam, C, Sachdev, HS, Saidi, O, Sakarya, S, Salanave, B, Salonen, JT, Salvetti, M, Sánchez-Abanto, J, Santos, D, dos Santos, RN, Santos, R, Saramies, JL, Sardinha, LB, Sarrafzadegan, N, Saum, KU, Scazufca, M, Schargrodsky, H, Scheidt-Nave, C, Sein, AA, Sharma, SK, Shaw, JE, Shibuya, K, Shin, Y, Shiri, R, Siantar, R, Sibai, AM, Simon, M, Simons, J, Simons, LA, Sjostrom, M, Slowikowska-Hilczer, J, Slusarczyk, P, Smeeth, L, Snijder, MB, So, HK, Sobngwi, E, Söderberg, S, Solfrizzi, V, Sonestedt, E, Soumare, A, Staessen, JA, Stathopoulou, MG, Steene-Johannessen, J, Stehle, P, Stein, AD, Stessman, J, Stöckl, D, Stokwiszewski, J, Stronks, K, Strufaldi, MW, Sun, CA, Sundström, J, Sung, YT, Suriyawongpaisal, P, Sy, RG, Tai, ES, Tamosiunas, A, Tang, L, Tarawneh, M, Tarqui-Mamani, CB, Taylor, A, Theobald, H, Thijs, L, Thuesen, BH, Tolonen, HK, Tolstrup, JS, Topbas, M, Torrent, M, Traissac, P, Trinh, OT, Tulloch-Reid, MK, Tuomainen, TP, Turley, ML, Tzourio, C, Ueda, P, Ukoli, FA, Ulmer, H, Uusitalo, HM, Valdivia, G, Valvi, D, van Rossem, L, van Valkengoed, IG, Vanderschueren, D, Vanuzzo, D, Vega, T, Velasquez-Melendez, G, Veronesi, G, Verschuren, WM, Verstraeten, R, Viet, L, Vioque, J, Virtanen, JK, Visvikis-Siest, S, Viswanathan, B, Vollenweider, P, Voutilainen, S, Vrijheid, M, Wade, AN, Wagner, A, Walton, J, Wan Mohamud, WN, Wang, F, Wang, MD, Wang, Q, Wang, YX, Wannamethee, SG, Weerasekera, D, Whincup, PH, Widhalm, K, Wiecek, A, Wijga, AH, Wilks, RJ, Willeit, J, Wilsgaard, T, Wojtyniak, B, Wong, TY, Woo, J, Woodward, M, Wu, FC, Wu, SL, Xu, H, Yan, W, Yang, X, Ye, X, Yoshihara, A, Younger-Coleman, NO, Zambon, S, Zargar, AH, Zdrojewski, T, Zhao, W, Zheng, Y, Zuñiga Cisneros, J, and Wellcome Trust
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Adult ,Blood Glucose ,Male ,Research Report ,insulin/therapeutic use ,Age Distribution ,Age of Onset ,Bayes Theorem ,Developing Countries ,Diabetes Mellitus ,Female ,Health Surveys ,Humans ,Hypoglycemic Agents ,Incidence ,Insulin ,Prevalence ,Sex Distribution ,Cost of Illness ,Global Health ,Medicine (all) ,HEALTH EXAMINATION SURVEYS ,developing countries/*statistics and numerical data ,hypoglycemic agents/*therapeutic use ,Worldwide trends ,Medicine, General & Internal ,IMPAIRED GLUCOSE-TOLERANCE ,General & Internal Medicine ,AMERICAN-HEART-ASSOCIATION ,MIDDLE-INCOME COUNTRIES ,global health ,SYSTEMATIC ANALYSIS ,Science & Technology ,diabetes mellitus/blood/*drug therapy/*epidemiology ,research report/standards ,Diabetes ,11 Medical And Health Sciences ,BODY-MASS INDEX ,SCIENTIFIC STATEMENT ,Faculdade de Ciências Sociais ,CARDIOVASCULAR-DISEASE ,LIFE-STYLE INTERVENTION ,RISK-FACTORS ,cost of Illness ,Life Sciences & Biomedicine ,bood glucose/metabolism - Abstract
Background: One of the global targets for non-communicable diseases is to halt, by 2025, the rise in the age-standardised adult prevalence of diabetes at its 2010 levels. We aimed to estimate worldwide trends in diabetes, how likely it is for countries to achieve the global target, and how changes in prevalence, together with population growth and ageing, are affecting the number of adults with diabetes. Methods: We pooled data from population-based studies that had collected data on diabetes through measurement of its biomarkers. We used a Bayesian hierarchical model to estimate trends in diabetes prevalence—defined as fasting plasma glucose of 7·0 mmol/L or higher, or history of diagnosis with diabetes, or use of insulin or oral hypoglycaemic drugs—in 200 countries and territories in 21 regions, by sex and from 1980 to 2014. We also calculated the posterior probability of meeting the global diabetes target if post-2000 trends continue. Findings: We used data from 751 studies including 4 372 000 adults from 146 of the 200 countries we make estimates for. Global age-standardised diabetes prevalence increased from 4·3% (95% credible interval 2·4–7·0) in 1980 to 9·0% (7·2–11·1) in 2014 in men, and from 5·0% (2·9–7·9) to 7·9% (6·4–9·7) in women. The number of adults with diabetes in the world increased from 108 million in 1980 to 422 million in 2014 (28·5% due to the rise in prevalence, 39·7% due to population growth and ageing, and 31·8% due to interaction of these two factors). Age-standardised adult diabetes prevalence in 2014 was lowest in northwestern Europe, and highest in Polynesia and Micronesia, at nearly 25%, followed by Melanesia and the Middle East and north Africa. Between 1980 and 2014 there was little change in age-standardised diabetes prevalence in adult women in continental western Europe, although crude prevalence rose because of ageing of the population. By contrast, age-standardised adult prevalence rose by 15 percentage points in men and women in Polynesia and Micronesia. In 2014, American Samoa had the highest national prevalence of diabetes (>30% in both sexes), with age-standardised adult prevalence also higher than 25% in some other islands in Polynesia and Micronesia. If post-2000 trends continue, the probability of meeting the global target of halting the rise in the prevalence of diabetes by 2025 at the 2010 level worldwide is lower than 1% for men and is 1% for women. Only nine countries for men and 29 countries for women, mostly in western Europe, have a 50% or higher probability of meeting the global target. Interpretation: Since 1980, age-standardised diabetes prevalence in adults has increased, or at best remained unchanged, in every country. Together with population growth and ageing, this rise has led to a near quadrupling of the number of adults with diabetes worldwide. The burden of diabetes, both in terms of prevalence and number of adults affected, has increased faster in low-income and middle-income countries than in high-income countries.
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- 2016
27. Design and Development of a Viral Hepatitis and HIV Infection Screening Program (Hprolipsis) for the General, Greek Roma, and Migrant Populations of Greece: Protocol for Three Cross-Sectional Health Examination Surveys.
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Touloumi G, Karakosta A, Sypsa V, Petraki I, Anagnostou O, Terzidis A, Voudouri NM, Gavana M, Vantarakis A, Rachiotis G, Kantzanou M, Rosenberg T, Papatheodoridis G, and Hatzakis A
- Abstract
Background: Although infectious diseases are globally on the decline, they remain a major global public health problem. Among them, the hepatitis B virus (HBV) or hepatitis C virus (HCV) and HIV infection are of primary interest. Valid prevalence data on these infections are sparse in Greece, especially for vulnerable populations., Objective: This study aimed to present the design and methods of Hprolipsis, an integrated viral hepatitis and HIV screening program administered to adults (≥18 years) from the general, Greek Roma, and migrant populations. Its aims were to estimate the prevalence of HBV, HCV, and HIV; assess infectious disease knowledge level; design, implement, and assess population-specific awareness actions; and offer individual counseling and referral when indicated and HBV vaccination to susceptible Roma and migrants., Methods: Multistage, stratified, random sampling based on the 2011 Census was applied to select the general population sample, and nonprobability multistage quota sampling was used for Roma and migrant sample selection. Trained personnel made home (general population) or community (Roma and migrants) visits. Collected blood samples were tested for Hepatitis B surface Antigen, Hepatitis B core Antibody, Hepatitis B surface Antibody, Hepatitis C Antibody, and HIV 1,2 Antibody. The surveys were conducted during May 2013 and June 2016. To estimate an HCV prevalence of 1.5% with 0.3 precision, the required general population sample size was estimated to be 6000. As migrants constitute 10% of the whole Greek population, the migrant sample size was set to 600. A feasible sample size of 500 Greek Roma was set., Results: In total, 6006 individuals from the general population (response rate 72%), 534 Greek Roma, and 612 migrants were recruited. Blood test results are available for 4245 individuals from the general population, 523 Roma, and 537 migrants., Conclusions: Hprolipsis is the first nationwide survey on HBV, HCV, and HIV. Its results will enhance our understanding of the health needs and disease burden of these diseases in the 3 studied populations. Its implementation provided useful recommendations for future studies, particularly in vulnerable populations., International Registered Report Identifier (irrid): DERR1-10.2196/13578., (©Giota Touloumi, Argiro Karakosta, Vana Sypsa, Ioanna Petraki, Olga Anagnostou, Agis Terzidis, Niki Maria Voudouri, Doctors Of The World Greek Delegation, Magda Gavana, Apostolos Vantarakis, George Rachiotis, Maria Kantzanou, Theofilos Rosenberg, George Papatheodoridis, Angelos Hatzakis, Hprolipsis Study Group. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 31.01.2020.)
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- 2020
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28. Trends in hypertension prevalence, awareness, treatment, and control among Polish adults 75 years and older during 2007-2014.
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Niklas AA, Flotyńska A, Zdrojewski T, Pająk A, Topór-Mądry R, Nadrowski P, Polakowska M, Kwaśniewska M, Puch-Walczak A, Bielecki W, Kozakiewicz K, Drygas W, and Tykarski A
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- Age Distribution, Age Factors, Aged, Female, Follow-Up Studies, Humans, Hypertension drug therapy, Hypertension physiopathology, Male, Poland epidemiology, Prevalence, Retrospective Studies, Risk Factors, Sex Distribution, Antihypertensive Agents therapeutic use, Awareness, Blood Pressure physiology, Forecasting, Hypertension epidemiology
- Abstract
Background: The aim of this study was to assess changes in the prevalence, awareness, and treatment of hypertension and its effectiveness between 2007 (WOBASZ Senior study) and 2013-2014 (WOBASZ II) in a sample of the Polish population over the age of 75 years., Methods: Sampling had three stages, stratified according to voivodeships, type of community, and gen-der. Finally, the WOBASZ II study included 467 persons (290 women and 177 men). For a comparison of the data, 1096 persons (538 women and 554 men) examined in the WOBASZ Senior study were used., Results: Systolic and diastolic blood pressures significantly decreased from 153.0 ± 23.9 mmHg to 142.9 ± 22.3 mmHg and from 85.2 ± 11.9 mmHg to 78.4 ± 11.3 mmHg, respectively, from 2007 to 2014 (p < 0.0001). Prevalence of hypertension among people included in WOBASZ studies slightly decreased from 83.8% to 77.9% (rate ratio [RR]: 0.95; 95% confidence interval [CI]: 0.78-1.16) in men, and from 75.4% to 71.8% (RR: 0.93; 95% CI: 0.8-1.09) in women. Hypertension awareness was improved from 59.2% to 72.9% (RR: 1.23; 95% CI: 0.97-1.56) in men, and from 74,8% to 93% (RR: 1.26; 95% CI: 1.01-1.58) in women. The proportion of men and women, with implemented hypertension treatment, increased from 48.4% to 61.1% (RR: 1.26; 95% CI: 1.01-1.58), and from 63.2% to 82.0% (RR: 1.3; 95% CI: 1.1-1.53), respectively. The effectiveness of the treatment was improved over two-fold, there was an increase from 10.3% to 26.8% (RR: 2.65; 95% CI: 1.81-3.89) in men, and from 13.8% to 33.5% in women (RR: 2.44; 95% CI: 1.81-3.3)., Conclusions: The prevalence of hypertension in Polish seniors remains high, but has decreased slightly in the perspective of the last 7 years. Although treatment and control has improved over the last decade, it remains below expectations. Efforts to improve the diagnosis and effective treatment of hypertension in Polish seniors should be intensified.
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- 2018
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