16 results on '"Sipilä, P. N."'
Search Results
2. Proteomics identifies potential immunological drivers of postinfection brain atrophy and cognitive decline
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Duggan, Michael R., Peng, Zhongsheng, Sipilä, Pyry N., Lindbohm, Joni V., Chen, Jingsha, Lu, Yifei, Davatzikos, Christos, Erus, Guray, Hohman, Timothy J., Andrews, Shea J., Candia, Julián, Tanaka, Toshiko, Joynes, Cassandra M., Alvarado, Chelsea X., Nalls, Mike A., Cordon, Jenifer, Daya, Gulzar N., An, Yang, Lewis, Alexandria, Moghekar, Abhay, Palta, Priya, Coresh, Josef, Ferrucci, Luigi, Kivimäki, Mika, and Walker, Keenan A.
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- 2024
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3. Immune system-wide Mendelian randomization and triangulation analyses support autoimmunity as a modifiable component in dementia-causing diseases
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Lindbohm, Joni V., Mars, Nina, Sipilä, Pyry N., Singh-Manoux, Archana, Runz, Heiko, Livingston, Gill, Seshadri, Sudha, Xavier, Ramnik, Hingorani, Aroon D., Ripatti, Samuli, and Kivimäki, Mika
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- 2022
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4. Relationship between sensation seeking, alcohol problems and bulimic symptoms: a community-based, longitudinal study
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Hirvelä, Leon, Sipilä, Pyry N., and Keski-Rahkonen, Anna
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- 2022
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5. Body-mass index and risk of obesity-related complex multimorbidity:an observational multicohort study
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Kivimäki, M. (Mika), Strandberg, T. (Timo), Pentti, J. (Jaana), Nyberg, S. T. (Solja T), Frank, P. (Philipp), Jokela, M. (Markus), Ervasti, J. (Jenni), Suominen, S. B. (Sakari B), Vahtera, J. (Jussi), Sipilä, P. N. (Pyry N), Lindbohm, J. V. (Joni V), Ferrie, J. E. (Jane E), Kivimäki, M. (Mika), Strandberg, T. (Timo), Pentti, J. (Jaana), Nyberg, S. T. (Solja T), Frank, P. (Philipp), Jokela, M. (Markus), Ervasti, J. (Jenni), Suominen, S. B. (Sakari B), Vahtera, J. (Jussi), Sipilä, P. N. (Pyry N), Lindbohm, J. V. (Joni V), and Ferrie, J. E. (Jane E)
- Abstract
Background: The accumulation of disparate diseases in complex multimorbidity makes prevention difficult if each disease is targeted separately. We aimed to examine obesity as a shared risk factor for common diseases, determine associations between obesity-related diseases, and examine the role of obesity in the development of complex multimorbidity (four or more comorbid diseases). Methods: We did an observational study and used pooled prospective data from two Finnish cohort studies (the Health and Social Support Study and the Finnish Public Sector Study) comprising 114 657 adults aged 16–78 years at study entry (1998–2013). A cohort of 499 357 adults (aged 38–73 years at study entry; 2006–10) from the UK Biobank provided replication in an independent population. BMI and clinical characteristics were assessed at baseline. BMIs were categorised as obesity (≥30·0 kg/m²), overweight (25·0–29·9 kg/m²), healthy weight (18·5–24·9 kg/m²), and underweight (<18·5 kg/m²). Via linkage to national health records, participants were followed-up for death and diseases diagnosed according to the International Classification of Diseases 10th Revision (ICD-10). Hazard ratios (HRs) with 95% CIs and population attributable fractions (PAFs) for associations between BMI and multimorbidity were calculated. Findings: Mean follow-up duration was 12·1 years (SD 3·8) in the Finnish cohorts and 11·8 years (1·7) in the UK Biobank cohort. Obesity was associated with 21 non-overlapping cardiometabolic, digestive, respiratory, neurological, musculoskeletal, and infectious diseases after Bonferroni multiple testing adjustment and ignoring HRs of less than 1·50. Compared with healthy weight, the confounder-adjusted HR for obesity was 2·83 (95% CI 2·74–2·93; PAF 19·9% [95% CI 19·3–20·5]) for developing at least one obesity-related disease, 5·17 (4·84–5·53; 34·4% [33·2–35·5]) for two diseases, and 12·39 (9·26–16·58; 55·2% [50·9–57·5]) for complex multimorbidity. The proportion of particip
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- 2022
6. Severe Infection and Risk of Cardiovascular Disease: A Multicohort Study
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Sipilä, Pyry N., Lindbohm, Joni V., Batty, G. David, Heikkilä, Nelli, Vahtera, Jussi, Suominen, Sakari, Väänänen, Ari, Koskinen, Aki, Nyberg, Solja T., Meri, Seppo, Pentti, Jaana, Warren-Gash, Charlotte, Hayward, Andrew C., and Kivimäki, Mika
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- 2023
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7. Hospital-treated infectious diseases and the risk of dementia:a large, multicohort, observational study with a replication cohort
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Sipilä, P. N. (Pyry N.), Heikkilä, N. (Nelli), Lindbohm, J. V. (Joni V.), Hakulinen, C. (Christian), Vahtera, J. (Jussi), Elovainio, M. (Marko), Suominen, S. (Sakari), Väänänen, A. (Ari), Koskinen, A. (Aki), Nyberg, S. T. (Solja T.), Pentti, J. (Jaana), Strandberg, T. E. (Timo E.), Kivimäki, M. (Mika), Sipilä, P. N. (Pyry N.), Heikkilä, N. (Nelli), Lindbohm, J. V. (Joni V.), Hakulinen, C. (Christian), Vahtera, J. (Jussi), Elovainio, M. (Marko), Suominen, S. (Sakari), Väänänen, A. (Ari), Koskinen, A. (Aki), Nyberg, S. T. (Solja T.), Pentti, J. (Jaana), Strandberg, T. E. (Timo E.), and Kivimäki, M. (Mika)
- Abstract
Summary Background: Infections have been hypothesised to increase the risk of dementia. Existing studies have included a narrow range of infectious diseases, relied on short follow-up periods, and provided little evidence for whether the increased risk is limited to specific dementia subtypes or attributable to specific microbes rather than infection burden. We aimed to compare the risk of Alzheimer’s disease and other dementias across a wide range of hospital-treated bacterial and viral infections in two large cohorts with long follow-up periods. Methods: In this large, multicohort, observational study, the analysis was based on a primary cohort consisting of pooled individual-level data from three prospective cohort studies in Finland (the Finnish Public Sector study, the Health and Social Support study, and the Still Working study) and an independent replication cohort from the UK Biobank. Community-dwelling adults (≥18 years) with no dementia at study entry were included. Follow-up was until Dec 31, 2012, in the Health and Social Support study, Dec 31, 2016, in the public sector study and the Still Working study, and Feb 7, 2018, in the replication cohort. Through record linkage to national hospital inpatient registers, we ascertained exposure to 925 infectious diseases (using the International Classification of Diseases 10th Revision codes) before dementia onset, and identified incident dementia from hospital records, medication reimbursement entitlements, and death certificates. Hazard ratios (HRs) for the associations of each infectious disease or disease group (index infection) with incident dementia were assessed by use of Cox proportional hazards models. We then repeated the analysis after excluding incident dementia cases that occurred during the first 10 years after initial hospitalisation due to the index infection. Findings: From March 1, 1986, to Jan 1, 2005, 260 490 people were included in the primary cohort, and from Dec 19, 2006, to Oct 1, 2010, 48
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- 2021
8. Plasma proteins, cognitive decline, and 20‐year risk of dementia in the Whitehall II and Atherosclerosis Risk in Communities studies.
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Lindbohm, Joni V., Mars, Nina, Walker, Keenan A., Singh‐Manoux, Archana, Livingston, Gill, Brunner, Eric J., Sipilä, Pyry N., Saksela, Kalle, Ferrie, Jane E., Lovering, Ruth C., Williams, Stephen A., Hingorani, Aroon D., Gottesman, Rebecca F., Zetterberg, Henrik, and Kivimäki, Mika
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Introduction: Plasma proteins affect biological processes and are common drug targets but their role in the development of Alzheimer's disease and related dementias remains unclear. We examined associations between 4953 plasma proteins and cognitive decline and risk of dementia in two cohort studies with 20‐year follow‐ups. Methods: In the Whitehall II prospective cohort study proteins were measured using SOMAscan technology. Cognitive performance was tested five times over 20 years. Linkage to electronic health records identified incident dementia. The results were replicated in the Atherosclerosis Risk in Communities (ARIC) study. Results: Fifteen non‐amyloid/non‐tau–related proteins were associated with cognitive decline and dementia, were consistently identified in both cohorts, and were not explained by known dementia risk factors. Levels of six of the proteins are modifiable by currently approved medications for other conditions. Discussion: This study identified several plasma proteins in dementia‐free people that are associated with long‐term risk of cognitive decline and dementia. [ABSTRACT FROM AUTHOR]
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- 2022
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9. Association of Alcohol-Induced Loss of Consciousness and Overall Alcohol Consumption With Risk for Dementia
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Kivimäki, M., Singh-Manoux, A., Batty, G. D., Sabia, S., Sommerlad, A., Floud, S., Jokela, M., Vahtera, J., Beydoun, M. A., Suominen, S. B., Koskinen, A., Väänänen, A., Goldberg, M., Zins, M., Alfredsson, L., Westerholm, P. J. M., Knutsson, Anders, Nyberg, S. T., Sipilä, P. N., Lindbohm, J. V., Pentti, J., Livingston, G., Ferrie, J. E., Strandberg, T., Kivimäki, M., Singh-Manoux, A., Batty, G. D., Sabia, S., Sommerlad, A., Floud, S., Jokela, M., Vahtera, J., Beydoun, M. A., Suominen, S. B., Koskinen, A., Väänänen, A., Goldberg, M., Zins, M., Alfredsson, L., Westerholm, P. J. M., Knutsson, Anders, Nyberg, S. T., Sipilä, P. N., Lindbohm, J. V., Pentti, J., Livingston, G., Ferrie, J. E., and Strandberg, T.
- Abstract
Importance: Evidence on alcohol consumption as a risk factor for dementia usually relates to overall consumption. The role of alcohol-induced loss of consciousness is uncertain. Objective: To examine the risk of future dementia associated with overall alcohol consumption and alcohol-induced loss of consciousness in a population of current drinkers. Design, Setting, and Participants: Seven cohort studies from the UK, France, Sweden, and Finland (IPD-Work consortium) including 131 415 participants were examined. At baseline (1986-2012), participants were aged 18 to 77 years, reported alcohol consumption, and were free of diagnosed dementia. Dementia was examined during a mean follow-up of 14.4 years (range, 12.3-30.1). Data analysis was conducted from November 17, 2019, to May 23, 2020. Exposures: Self-reported overall consumption and loss of consciousness due to alcohol consumption were assessed at baseline. Two thresholds were used to define heavy overall consumption: greater than 14 units (U) (UK definition) and greater than 21 U (US definition) per week. Main Outcomes and Measures: Dementia and alcohol-related disorders to 2016 were ascertained from linked electronic health records. Results: Of the 131 415 participants (mean [SD] age, 43.0 [10.4] years; 80 344 [61.1%] women), 1081 individuals (0.8%) developed dementia. After adjustment for potential confounders, the hazard ratio (HR) was 1.16 (95% CI, 0.98-1.37) for consuming greater than 14 vs 1 to 14 U of alcohol per week and 1.22 (95% CI, 1.01-1.48) for greater than 21 vs 1 to 21 U/wk. Of the 96 591 participants with data on loss of consciousness, 10 004 individuals (10.4%) reported having lost consciousness due to alcohol consumption in the past 12 months. The association between loss of consciousness and dementia was observed in men (HR, 2.86; 95% CI, 1.77-4.63) and women (HR, 2.09; 95% CI, 1.34-3.25) during the first 10 years of follow-up (HR, 2.72; 95% CI, 1.78-4.15), after excluding the first 10 years of f
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- 2020
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10. Association of Healthy Lifestyle with Years Lived without Major Chronic Diseases
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Nyberg, S. T., Singh-Manoux, A., Pentti, J., Madsen, I. E. H., Sabia, S., Alfredsson, L., Bjorner, J. B., Borritz, M., Burr, H., Goldberg, M., Heikkilä, K., Jokela, M., Knutsson, Anders, Lallukka, T., Lindbohm, J. V., Nielsen, M. L., Nordin, M., Oksanen, T., Pejtersen, J. H., Rahkonen, O., Rugulies, R., Shipley, M. J., Sipilä, P. N., Stenholm, S., Suominen, S., Vahtera, J., Virtanen, M., Westerlund, H., Zins, M., Hamer, M., Batty, G. D., Kivimäki, M., Nyberg, S. T., Singh-Manoux, A., Pentti, J., Madsen, I. E. H., Sabia, S., Alfredsson, L., Bjorner, J. B., Borritz, M., Burr, H., Goldberg, M., Heikkilä, K., Jokela, M., Knutsson, Anders, Lallukka, T., Lindbohm, J. V., Nielsen, M. L., Nordin, M., Oksanen, T., Pejtersen, J. H., Rahkonen, O., Rugulies, R., Shipley, M. J., Sipilä, P. N., Stenholm, S., Suominen, S., Vahtera, J., Virtanen, M., Westerlund, H., Zins, M., Hamer, M., Batty, G. D., and Kivimäki, M.
- Abstract
Importance: It is well established that selected lifestyle factors are individually associated with lower risk of chronic diseases, but how combinations of these factors are associated with disease-free life-years is unknown. Objective: To estimate the association between healthy lifestyle and the number of disease-free life-years. Design, Setting, and Participants: A prospective multicohort study, including 12 European studies as part of the Individual-Participant-Data Meta-analysis in Working Populations Consortium, was performed. Participants included 116043 people free of major noncommunicable disease at baseline from August 7, 1991, to May 31, 2006. Data analysis was conducted from May 22, 2018, to January 21, 2020. Exposures: Four baseline lifestyle factors (smoking, body mass index, physical activity, and alcohol consumption) were each allocated a score based on risk status: Optimal (2 points), intermediate (1 point), or poor (0 points) resulting in an aggregated lifestyle score ranging from 0 (worst) to 8 (best). Sixteen lifestyle profiles were constructed from combinations of these risk factors. Main Outcomes and Measures: The number of years between ages 40 and 75 years without chronic disease, including type 2 diabetes, coronary heart disease, stroke, cancer, asthma, and chronic obstructive pulmonary disease. Results: Of the 116043 people included in the analysis, the mean (SD) age was 43.7 (10.1) years and 70911 were women (61.1%). During 1.45 million person-years at risk (mean follow-up, 12.5 years; range, 4.9-18.6 years), 17383 participants developed at least 1 chronic disease. There was a linear association between overall healthy lifestyle score and the number of disease-free years, such that a 1-point improvement in the score was associated with an increase of 0.96 (95% CI, 0.83-1.08) disease-free years in men and 0.89 (95% CI, 0.75-1.02) years in women. Comparing the best lifestyle score with the worst lifestyle score was associated with 9.9 (95% C
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- 2020
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11. Association of alcohol-induced loss of consciousness and overall alcohol consumption with risk for dementia
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Kivimäki, M. (Mika), Singh-Manoux, A. (Archana), Batty, G. D. (G. David), Sabia, S. (Séverine), Sommerlad, A. (Andrew), Floud, S. (Sarah), Jokela, M. (Markus), Vahtera, J. (Jussi), Beydoun, M. A. (May A.), Suominen, S. B. (Sakari B.), Koskinen, A. (Aki), Väänänen, A. (Ari), Goldberg, M. (Marcel), Zins, M. (Marie), Alfredsson, L. (Lars), Westerholm, P. J. (Peter J. M.), Knutsson, A. (Anders), Nyberg, S. T. (Solja T.), Sipilä, P. N. (Pyry N.), Lindbohm, J. V. (Joni V.), Pentti, J. (Jaana), Livingston, G. (Gill), Ferrie, J. E. (Jane E.), Strandberg, T. (Timo), Kivimäki, M. (Mika), Singh-Manoux, A. (Archana), Batty, G. D. (G. David), Sabia, S. (Séverine), Sommerlad, A. (Andrew), Floud, S. (Sarah), Jokela, M. (Markus), Vahtera, J. (Jussi), Beydoun, M. A. (May A.), Suominen, S. B. (Sakari B.), Koskinen, A. (Aki), Väänänen, A. (Ari), Goldberg, M. (Marcel), Zins, M. (Marie), Alfredsson, L. (Lars), Westerholm, P. J. (Peter J. M.), Knutsson, A. (Anders), Nyberg, S. T. (Solja T.), Sipilä, P. N. (Pyry N.), Lindbohm, J. V. (Joni V.), Pentti, J. (Jaana), Livingston, G. (Gill), Ferrie, J. E. (Jane E.), and Strandberg, T. (Timo)
- Abstract
Importance: Evidence on alcohol consumption as a risk factor for dementia usually relates to overall consumption. The role of alcohol-induced loss of consciousness is uncertain. Objective: To examine the risk of future dementia associated with overall alcohol consumption and alcohol-induced loss of consciousness in a population of current drinkers. Design, Setting, and Participants: Seven cohort studies from the UK, France, Sweden, and Finland (IPD-Work consortium) including 131 415 participants were examined. At baseline (1986-2012), participants were aged 18 to 77 years, reported alcohol consumption, and were free of diagnosed dementia. Dementia was examined during a mean follow-up of 14.4 years (range, 12.3-30.1). Data analysis was conducted from November 17, 2019, to May 23, 2020. Exposures: Self-reported overall consumption and loss of consciousness due to alcohol consumption were assessed at baseline. Two thresholds were used to define heavy overall consumption: greater than 14 units (U) (UK definition) and greater than 21 U (US definition) per week. Main Outcomes and Measures: Dementia and alcohol-related disorders to 2016 were ascertained from linked electronic health records. Results: Of the 131 415 participants (mean [SD] age, 43.0 [10.4] years; 80 344 [61.1%] women), 1081 individuals (0.8%) developed dementia. After adjustment for potential confounders, the hazard ratio (HR) was 1.16 (95% CI, 0.98-1.37) for consuming greater than 14 vs 1 to 14 U of alcohol per week and 1.22 (95% CI, 1.01-1.48) for greater than 21 vs 1 to 21 U/wk. Of the 96 591 participants with data on loss of consciousness, 10 004 individuals (10.4%) reported having lost consciousness due to alcohol consumption in the past 12 months. The association between loss of consciousness and dementia was observed in men (HR, 2.86; 95% CI, 1.77-4.63) and women (HR, 2.09; 95% CI, 1.34-3.25) during the first 10 years of follow-up (HR, 2.72; 95% CI, 1.78-4.15), after excluding the first 10 y
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- 2020
12. Body-mass index and risk of obesity-related complex multimorbidity: an observational multicohort study
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Kivimäki, Mika, Strandberg, Timo, Pentti, Jaana, Nyberg, Solja T, Frank, Philipp, Jokela, Markus, Ervasti, Jenni, Suominen, Sakari B, Vahtera, Jussi, Sipilä, Pyry N, Lindbohm, Joni V, and Ferrie, Jane E
- Abstract
The accumulation of disparate diseases in complex multimorbidity makes prevention difficult if each disease is targeted separately. We aimed to examine obesity as a shared risk factor for common diseases, determine associations between obesity-related diseases, and examine the role of obesity in the development of complex multimorbidity (four or more comorbid diseases).
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- 2022
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13. Long‐term risk of dementia following hospitalization due to physical diseases: A multicohort study.
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Sipilä, Pyry N, Lindbohm, Joni V, Singh‐Manoux, Archana, Shipley, Martin J., Kiiskinen, Tuomo, Havulinna, Aki S, Vahtera, Jussi, Nyberg, Solja T, Pentti, Jaana, and Kivimäki, Mika
- Abstract
Introduction: Conventional risk factors targeted by prevention (e.g., low education, smoking, and obesity) are associated with a 1.2‐ to 2‐fold increased risk of dementia. It is unclear whether having a physical disease is an equally important risk factor for dementia. Methods: In this exploratory multicohort study of 283,414 community‐dwelling participants, we examined 22 common hospital‐treated physical diseases as risk factors for dementia. Results: During a median follow‐up of 19 years, a total of 3416 participants developed dementia. Those who had erysipelas (hazard ratio = 1.82; 95% confidence interval = 1.53 to 2.17), hypothyroidism (1.94; 1.59 to 2.38), myocardial infarction (1.41; 1.20 to 1.64), ischemic heart disease (1.32; 1.18 to 1.49), cerebral infarction (2.44; 2.14 to 2.77), duodenal ulcers (1.88; 1.42 to 2.49), gastritis and duodenitis (1.82; 1.46 to 2.27), or osteoporosis (2.38; 1.75 to 3.23) were at a significantly increased risk of dementia. These associations were not explained by conventional risk factors or reverse causation. Discussion: In addition to conventional risk factors, several physical diseases may increase the long‐term risk of dementia. [ABSTRACT FROM AUTHOR]
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- 2020
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14. Association between change in cardiovascular risk scores and future cardiovascular disease: analyses of data from the Whitehall II longitudinal, prospective cohort study
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Lindbohm, Joni V, Sipilä, Pyry N, Mars, Nina, Knüppel, Anika, Pentti, Jaana, Nyberg, Solja T, Frank, Philipp, Ahmadi-Abhari, Sara, Brunner, Eric J, Shipley, Martin J, Singh-Manoux, Archana, Tabak, Adam G, Batty, G David, and Kivimäki, Mika
- Abstract
Evaluation of cardiovascular disease risk in primary care, which is recommended every 5 years in middle-aged and older adults (typical age range 40–75 years), is based on risk scores, such as the European Society of Cardiology Systematic Coronary Risk Evaluation (SCORE) and American College of Cardiology/American Heart Association Atherosclerotic Cardiovascular Disease (ASCVD) algorithms. This evaluation currently uses only the most recent risk factor assessment. We aimed to examine whether 5-year changes in SCORE and ASCVD risk scores are associated with future cardiovascular disease risk.
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- 2021
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15. Association of Healthy Lifestyle With Years Lived Without Major Chronic Diseases
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Nyberg, Solja T., Singh-Manoux, Archana, Pentti, Jaana, Madsen, Ida E. H., Sabia, Severine, Alfredsson, Lars, Bjorner, Jakob B., Borritz, Marianne, Burr, Hermann, Goldberg, Marcel, Heikkilä, Katriina, Jokela, Markus, Knutsson, Anders, Lallukka, Tea, Lindbohm, Joni V., Nielsen, Martin L., Nordin, Maria, Oksanen, Tuula, Pejtersen, Jan H., Rahkonen, Ossi, Rugulies, Reiner, Shipley, Martin J., Sipilä, Pyry N., Stenholm, Sari, Suominen, Sakari, Vahtera, Jussi, Virtanen, Marianna, Westerlund, Hugo, Zins, Marie, Hamer, Mark, Batty, G. David, and Kivimäki, Mika
- Abstract
IMPORTANCE: It is well established that selected lifestyle factors are individually associated with lower risk of chronic diseases, but how combinations of these factors are associated with disease-free life-years is unknown. OBJECTIVE: To estimate the association between healthy lifestyle and the number of disease-free life-years. DESIGN, SETTING, AND PARTICIPANTS: A prospective multicohort study, including 12 European studies as part of the Individual-Participant-Data Meta-analysis in Working Populations Consortium, was performed. Participants included 116 043 people free of major noncommunicable disease at baseline from August 7, 1991, to May 31, 2006. Data analysis was conducted from May 22, 2018, to January 21, 2020. EXPOSURES: Four baseline lifestyle factors (smoking, body mass index, physical activity, and alcohol consumption) were each allocated a score based on risk status: optimal (2 points), intermediate (1 point), or poor (0 points) resulting in an aggregated lifestyle score ranging from 0 (worst) to 8 (best). Sixteen lifestyle profiles were constructed from combinations of these risk factors. MAIN OUTCOMES AND MEASURES: The number of years between ages 40 and 75 years without chronic disease, including type 2 diabetes, coronary heart disease, stroke, cancer, asthma, and chronic obstructive pulmonary disease. RESULTS: Of the 116 043 people included in the analysis, the mean (SD) age was 43.7 (10.1) years and 70 911 were women (61.1%). During 1.45 million person-years at risk (mean follow-up, 12.5 years; range, 4.9-18.6 years), 17 383 participants developed at least 1 chronic disease. There was a linear association between overall healthy lifestyle score and the number of disease-free years, such that a 1-point improvement in the score was associated with an increase of 0.96 (95% CI, 0.83-1.08) disease-free years in men and 0.89 (95% CI, 0.75-1.02) years in women. Comparing the best lifestyle score with the worst lifestyle score was associated with 9.9 (95% CI 6.7-13.1) additional years without chronic diseases in men and 9.4 (95% CI 5.4-13.3) additional years in women (P < .001 for dose-response). All of the 4 lifestyle profiles that were associated with the highest number of disease-free years included a body-mass index less than 25 (calculated as weight in kilograms divided by height in meters squared) and at least 2 of the following factors: never smoking, physical activity, and moderate alcohol consumption. Participants with 1 of these lifestyle profiles reached age 70.3 (95% CI, 69.9-70.8) to 71.4 (95% CI, 70.9-72.0) years disease free depending on the profile and sex. CONCLUSIONS AND RELEVANCE: In this multicohort analysis, various healthy lifestyle profiles appeared to be associated with gains in life-years without major chronic diseases.
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- 2020
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16. Accuracy of self-reported anthropometric measures - Findings from the Finnish Twin Study.
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Tuomela J, Kaprio J, Sipilä PN, Silventoinen K, Wang X, Ollikainen M, and Piirtola M
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- Age Factors, Aged, Body Height, Body Mass Index, Body Weight, Cohort Studies, Female, Finland, Humans, Male, Middle Aged, Obesity, Reproducibility of Results, Sex Factors, Twins, Dizygotic statistics & numerical data, Twins, Monozygotic statistics & numerical data, Waist Circumference, Anthropometry, Body Constitution, Self Report
- Abstract
Objective: To determine the accuracy of self-reported height, weight, body mass index (BMI) and waist circumference (WC) compared to the measured values, and to assess the similarity between self-reported and measured values within dizygotic (DZ) and monozygotic (MZ) twin pairs., Methods: The data on self-reported and measured height, weight and WC values as well as measured hip circumference (HC) were collected from 444 twin individuals (53-67 years old, 60% women). Accuracies between self-reported and measured values were assessed by Pearson's correlation coefficients, Cohen's kappa coefficients and Bland-Altman 95% limits of agreement. Intra-class correlation was used in within-pair analyses., Results: The correlations between self-reported and measured values were high for all variables (r=0.86-0.98), although the agreement assessed by Bland-Altman 95% limits had relatively wide variation. The degree of overestimating height was similar in both sexes, whereas women tended to underestimate and men overestimate their weight. Cohen's kappa coefficients between self-reported and measured BMI categories were high: 0.71 in men and 0.70 in women. Further, the mean self-reported WC was less than the mean measured WC (difference in men 2.5cm and women 2.6cm). The within-pair correlations indicated a tendency of MZ co-twins to report anthropometric measures more similarly than DZ co-twins., Conclusions: Self-reported anthropometric measures are reasonably accurate indicators for obesity in large cohort studies. However, the possibility of more similar reporting among MZ pairs should be taken into account in twin studies exploring the heritability of different phenotypes., (Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.)
- Published
- 2019
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