599 results on '"Pigeot, I"'
Search Results
2. FAIR Data Sharing über Infrastrukturgrenzen hinweg
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Fluck, J, Pigeot, I, Fluck, J, and Pigeot, I
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- 2024
3. Record Linkage of secondary data in the NAKO: Overview of data sources with focus on health insurance claims data
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Ahrens, W, primary, Pigeot, I, additional, Stallmann, C, additional, and Swart, E, additional
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- 2023
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4. White Paper: Verbesserung des Record Linkage für die Gesundheitsforschung in Deutschland
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Intemann, T, Kaulke, K, Kipker, DK, Lettieri, V, Buchner, B, Sax, U, Pigeot, I, Semler, SC, Ahrens, W, Intemann, T, Kaulke, K, Kipker, DK, Lettieri, V, Buchner, B, Sax, U, Pigeot, I, Semler, SC, and Ahrens, W
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- 2023
5. Infectious Disease Epidemiology
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Infection & Immunity, Epi Infectieziekten Team 2, JC onderzoeksprogramma Infectieziekten, Ahrens, W., Pigeot, I., Straif-Bourgeois, Susanne, Tonzel, Julius L., Kretzschmar, Mirjam, Ratard, Raoult, Infection & Immunity, Epi Infectieziekten Team 2, JC onderzoeksprogramma Infectieziekten, Ahrens, W., Pigeot, I., Straif-Bourgeois, Susanne, Tonzel, Julius L., Kretzschmar, Mirjam, and Ratard, Raoult
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- 2023
6. Potential selection effects when estimating associations between the infancy peak or adiposity rebound and later body mass index in children
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Börnhorst, C, Siani, A, Tornaritis, M, Molnár, D, Lissner, L, Regber, S, Reisch, L, De Decker, A, Moreno, L A, Ahrens, W, and Pigeot, I
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- 2017
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7. The impact of familial, behavioural and psychosocial factors on the SES gradient for childhood overweight in Europe. A longitudinal study
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Bammann, K, Gwozdz, W, Pischke, C, Eiben, G, Fernandez-Alvira, J M, De Henauw, S, Lissner, L, Moreno, L A, Pitsiladis, Y, Reisch, L, Veidebaum, T, and Pigeot, I
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- 2017
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8. NFDI4Health – nationale Forschungsdateninfrastruktur für personenbezogene Gesundheitsdaten
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Fluck, J., Lindstädt, B., Ahrens, W., Beyan, O., Buchner, B., Darms, J., Depping, R., Dierkes, J., Fröhlich, H., Gehrke, J., Golebiewski, M., Grabenhenrich, L., Hahn, H.K., Kirsten, T., Klammt, S., Kusch, H., Löbe, M., Löffler, M., Meineke, F., Müller, W., Neuhausen, H., Nöthlings, U., Pischon, T., Prasser, F., Sax, U., Schmidt, C.O., Schulze, M., Semler, S.C., Thun, S., Waltemath, D., Wieler, L.H., Zeeb, H., Pigeot, I., and Publica
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Cardiovascular and Metabolic Diseases ,ddc:340 - Abstract
Epidemiologische und klinische Studien sind standardisiert und gut dokumentiert, jedoch erfüllen Studienprotokolle, eingesetzte Erhebungsinstrumente und erhobene Daten die Anforderungen der FAIR-Prinzipien nicht in ausreichendem Maße. NFDI4Health wird daher eine Struktur schaffen, die eine zentrale Suche nach existierenden, dezentral verwalteten Datenkörpern und zugehörigen Dokumenten sowie einen FAIRen Zugang zu diesen erleichtert. Dazu werden die Auffindbarkeit und der Zugang zu strukturierten Gesundheitsdaten aus Registern, administrativen Gesundheitsdatenbanken, klinischen und epidemiologischen sowie Public Health-Studien verbessert und die Qualität und Harmonisierung der zugrundeliegenden Daten optimiert. Eine weitere Herausforderung entsteht durch die Verwendung personenbezogener Gesundheitsdaten. Diese sind hoch sensibel, so dass ihre Nutzung restriktive Datenschutzbestimmungen und informierte Einwilligungserklärungen der StudienteilnehmerInnen erfordert, was jedoch ihre Wiederverwendbarkeit einschränkt. NFDI4Health zielt daher darauf ab, den Austausch und die Verknüpfung von personenbezogenen Gesundheitsdaten sowie verteilte Datenanalysen unter Einhaltung datenschutzrechtlicher und ethischer Bestimmungen zu erleichtern. Um dies möglichst effizient zu erreichen, wird NFDI4Health die Entwicklung neuer, maschinenprozessierbarer Zustimmungsmöglichkeiten sowie innovativer Datenzugriffsservices auf Grundlage der FAIRPrinzipien vorantreiben und die Interoperabilität von IT-Lösungen für Metadatenrepositorien stärken. Komplementiert wird dies durch die Entwicklung entsprechender Angebote für Training und Ausbildung, um der Herausforderung der Umsetzung der Lösungen in den Universitäten und Forschungseinrichtungen zu begegnen. Schließlich wird durch die gemeinsame Arbeit in der NFDI4Health die Kooperation zwischen klinischer und epidemiologischer/Public Health-Forschung gestärkt.
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- 2022
9. Highlighting the ‘public ‘in digital public health – a critical reflection
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Zeeb, H, primary, Schüz, B, additional, and Pigeot, I, additional
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- 2022
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10. Validity of 24-h recalls in (pre-)school aged children: Comparison of proxy-reported energy intakes with measured energy expenditure
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Börnhorst, C., Bel-Serrat, S., Pigeot, I., Huybrechts, I., Ottavaere, C., Sioen, I., De Henauw, S., Mouratidou, T., Mesana, M.I., Westerterp, K., Bammann, K., Lissner, L., Eiben, G., Pala, V., Rayson, M., Krogh, V., and Moreno, L.A.
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- 2014
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11. How can study data be made internationally accessible according to FAIR principles? - NFDI4Health solutions to improve findability of COVID-19 study data
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Fluck, J, Pigeot, I, Fluck, J, and Pigeot, I
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- 2022
12. Cohort Profile: The transition from childhood to adolescence in European children–how I.Family extends the IDEFICS cohort
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Ahrens, W, Siani, A, Adan, R, De Henauw, S, Eiben, G, Gwozdz, W, Hebestreit, A, Hunsberger, M, Kaprio, J, Krogh, V, Lissner, L, Molnár, D, Moreno, L A, Page, A, Picó, C, Reisch, L, Smith, R M, Tornaritis, M, Veidebaum, T, Williams, G, Pohlabeln, H, and Pigeot, I
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- 2017
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13. Clustering of lifestyle behaviours and relation to body composition in European children. The IDEFICS study
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Santaliestra-Pasias, A.M., Mouratidou, T., Reisch, L., Pigeot, I., Ahrens, W., Marild, S., Molnar, D., Siani, A., Sieri, S., Tornatiris, M., Veidebaum, T., Verbestel, V., De Bourdeaudhuij, I., and Moreno, L.A.
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Body composition -- Social aspects -- Health aspects ,Life style -- Health aspects ,Children -- Behavior ,Food/cooking/nutrition ,Health - Abstract
BACKGROUND: Dietary patterns, physical activity (PA) and sedentary behaviours are some of the main behavioural determinants of obesity; their combined influence in children has been addressed in a limited number of studies. SUBJECTS/METHODS: Children (16 228) aged 2-9 years old from eight European countries participated in the baseline survey of the IDEFICS study. A subsample of 11 674 children (50.8% males) were included in the present study. Children's food and beverage consumption (fruit and vegetables (F&V) and sugar-sweetened beverages (SSBs)), PA and sedentary behaviours were assessed via parental questionnaires. Sex-specific cluster analysis was applied to identify behavioural clusters. Analysis of covariance and logistic regression were applied to examine the association between behavioural clusters and body composition indicators (BCIs). RESULTS: Six behavioural clusters were identified (C1-C6) both in boys and girls. In both sexes, clusters characterised by high level of PA (C1 and C3) included a large proportion of older children, whereas clusters characterised by low SSB consumption (C5 and C6) included a large proportion of younger children. Significant associations between derived clusters and BCI were observed only in boys; those boys in the cluster with the highest time spent in sedentary activities and low PA had increased odds of having a body mass index z-score (odds ratio (OR) = 1.33;95% confidence interval (CI) = (1.01, 1.74)) and a waist circumference z- score (OR = 1.41; 95%CI = (1.06, 1.86)) greater than one. CONCLUSION: Clusters characterised by high sedentary behaviour, low F&V and SSB consumption and low PA turned out to be the most obesogenic factors in this sample of European children. European Journal of Clinical Nutrition (2015) 69, 811-816; doi:10.1038/ejcn.2015.76; published online 3 June 2015, INTRODUCTION Changes in multiple lifestyle behaviours contributing to energy imbalance are required in successful multi-factorial approaches of obesity prevention. (1) Dietary patterns, physical activity (PA) and sedentary behaviours are some [...]
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- 2015
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14. Methodisch-statistische Herausforderungen an die genombasierte Vorhersage von Erkrankungen
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Foraita, Ronja, Jäger, M., and Pigeot, I.
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- 2015
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15. Does the FTO gene interact with the socioeconomic status on the obesity development among young European children? Results from the IDEFICS study
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Foraita, R, Günther, F, Gwozdz, W, Reisch, L A, Russo, P, Lauria, F, Siani, A, Veidebaum, T, Tornaritis, M, Iacoviello, L, Vyncke, K, Pitsiladis, Y, Mårild, S, Molnár, D, Moreno, L A, Bammann, K, and Pigeot, I
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- 2015
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16. A Discovery and Verification Approach for Pharmacovigilance using Electronic Health Care Data
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Dijkstra, LJ, primary, Schink, T, additional, Linder, R, additional, Schwaninger, M, additional, Pigeot, I, additional, Wright, MN, additional, and Foraita, R, additional
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- 2022
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17. Auswirkungen von Anonymisierungsverfahren auf Risikoschätzungen in epidemiologischen Studien
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Pigeot, I., Schach, E., Schach, S., Überla, Karl, editor, Rienhoff, O., editor, Victor, N., editor, van Eimeren, Wilhelm, editor, and Ulm, Kurt, editor
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- 1992
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18. Adherence to combined lifestyle factors and their contribution to obesity in the IDEFICS study
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Kovács, E., Hunsberger, M., Reisch, L., Gwozdz, W., Eiben, G., De Bourdeaudhuij, I., Russo, P., Veidebaum, T., Hadjigeorgiou, C., Sieri, S., Moreno, L. A., Pigeot, I., Ahrens, W., Pohlabeln, H., and Molnár, D.
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- 2015
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19. Effect of the IDEFICS multilevel obesity prevention on childrenʼs sleep duration
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Michels, N., De Henauw, S., Eiben, G., Hadjigeorgiou, C., Hense, S., Hunsberger, M., Konstabel, K., Molnár, D., Moreno, L. A., Siani, A., De Bourdeaudhuij, I., and Pigeot, I.
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- 2015
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20. Implementation of the IDEFICS intervention across European countries: perceptions of parents and relationship with BMI
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De Bourdeaudhuij, I., Verbestel, V., De Henauw, S., Maes, L., Mårild, S., Moreno, L. A., Barba, G., Siani, A., Kovács, E., Konstabel, K., Tornaritis, M., Pigeot, I., and Ahrens, W.
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- 2015
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21. Effects of a community-oriented obesity prevention programme on indicators of body fatness in preschool and primary school children. Main results from the IDEFICS study
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De Henauw, S., Huybrechts, I., De Bourdeaudhuij, I., Bammann, K., Barba, G., Lissner, L., Mårild, S., Molnár, D., Moreno, L. A., Pigeot, I., Tornaritis, M., Veidebaum, T., Verbestel, V., and Ahrens, W.
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- 2015
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22. Differential outcome of the IDEFICS intervention in overweight versus non-overweight children: did we achieve ‘primary’ or ‘secondary’ prevention?
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Lissner, L., De Bourdeaudhuij, I., Konstabel, K., Mårild, S., Mehlig, K., Molnár, D., Moreno, L. A., Pigeot, I., Siani, A., Tornaritis, M., Williams, G., and De Henauw, S.
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- 2015
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23. Effectiveness of the IDEFICS intervention on objectively measured physical activity and sedentary time in European children
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Verbestel, V., De Henauw, S., Barba, G., Eiben, G., Gallois, K., Hadjigeorgiou, C., Konstabel, K., Maes, L., Mårild, S., Molnár, D., Moreno, L. A., Oja, L., Pitsiladis, Y., Ahrens, W., Pigeot, I., and De Bourdeaudhuij, I.
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- 2015
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24. Process evaluation of the IDEFICS school intervention: putting the evaluation of the effect on childrenʼs objectively measured physical activity and sedentary time in context
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Verloigne, M., Ahrens, W., De Henauw, S., Verbestel, V., Mårild, S., Pigeot, I., and De Bourdeaudhuij, I.
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- 2015
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25. The IDEFICS intervention trial to prevent childhood obesity: design and study methods
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Pigeot, I., Baranowski, T., and De Henauw, S.
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- 2015
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26. Behavioural effects of a community-oriented setting-based intervention for prevention of childhood obesity in eight European countries. Main results from the IDEFICS study
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De Bourdeaudhuij, I., Verbestel, V., De Henauw, S., Maes, L., Huybrechts, I., Mårild, S., Eiben, G., Moreno, L. A., Barba, G., Kovács, É., Konstabel, K., Tornaritis, M., Gallois, K., Hebestreit, A., and Pigeot, I.
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- 2015
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27. The IDEFICS (Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS) trial outcomes and process evaluations
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Pigeot, I., de Henauw, S., and Baranowski, T.
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- 2015
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28. Clustering of multiple lifestyle behaviours and its association to cardiovascular risk factors in children: the IDEFICS study
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Bel-Serrat, S., Mouratidou, T., Santaliestra-Pasias, A.M., Iacoviell, L., Kourides, Y.A., Marild, S., Molnar, D., Reisch, L., Siani, A., Stomfai, S., Vanaelst, B., Veidebaum, T., Pigeot, I., Ahrens, W., Krogh, V., and Moreno, L.A.
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Life style -- Research ,Children -- Health aspects ,Cardiovascular diseases -- Physiological aspects -- Risk factors ,Food/cooking/nutrition ,Health - Abstract
BACKGROUND/OBJECTIVES: Individual lifestyle behaviours have independently been associated with cardiovascular diseases (CVD) risk factors in children. This study aimed to identify clustered lifestyle behaviours (dietary, physical activity (PA) and sedentary indicators) and to examine their association with CVD risk factors in children aged 2-9 years. SUBJECTS/METHODS: Participants included 4619 children (51.6% boys) from eight European countries participating in the IDEFICS cross-sectional baseline survey (2007-2008). Insulin resistance, total cholesterol/high-density lipoprotein cholesterol ratio, triglycerides, sum of two skinfolds and systolic blood pressure (SBP) z-scores were summed to compute a CVD risk score. Cluster analyses stratified by sex and age groups (2 to < 6 years; 6-9 years) were performed using parental-reported data on fruit, vegetables and sugar-sweetened beverages (SSB) consumption, PA performance and television video/DVD viewing. RESULTS: Five clusters were identified. Associations between CVD risk factors and score, and clusters were obtained by multiple linear regression using cluster 5 ('low beverages consumption and low sedentary') as the reference cluster. SBP was positively associated with clusters 1 ('physically active'; β = 1.34;95% confidence interval (CI): 0.02, 2.67), 2 ('sedentary'; β = 1.84; 95% CI: 0.57, 3.11), 3 ('physically active and sedentary'; β = 1.45;95% CI: 0.15, 2.75) and 4 ('healthy diet'; β = 1.83;95% CI: 0.50, 3.17) in older boys. A positive association was observed between CVD risk score and clusters 2 (b = 0.60;95% CI: 0.20, 1.01), 3 (b = 0.55;95% CI: 0.14, 0.97) and 4 (β = 0.60, 95% CI: 0.18, 1.02) in older boys. CONCLUSIONS: Low television/video/DVD viewing levels and low SSB consumption may result in a healthier CVD profile rather than having a diet rich in fruits and vegetables or being physically active in (pre-)school children. European Journal of Clinical Nutrition (2013) 67, 848-854; doi:10.1038/ejcn.2013.84; published online 1 May 2013 Keywords: cardiovascular diseases; lifestyle; diet; exercise; sedentary lifestyle; child, INTRODUCTION Increased risk of CVD is characterized by a cluster of metabolic abnormalities, such as abdominal obesity, atherogenic dyslipemia, hypertension, insulin resistance and glucose intolerance. (1) CVD remains the leading [...]
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- 2013
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29. High-dimensional versus conventional propensity scores in a comparative effectiveness study of coxibs and reduced upper gastrointestinal complications
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Garbe, E., Kloss, S., Suling, M., Pigeot, I., and Schneeweiss, S.
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- 2013
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30. Big Data or structured datasets – hurdles on the path towards the realization of hopes
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Pigeot, I
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ddc: 610 ,610 Medical sciences ,Medicine - Abstract
Background: The term “Big Data” is ubiquitous in these days: in the context of modern media, cutting-edge technologies, data protection, but also in the context of potentials and challenges in science and research. However, it is pretty obvious that there is no clear distinction between[for full text, please go to the a.m. URL], 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS)
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- 2021
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31. The temporal relationship between parental concern of overeating and childhood obesity considering genetic susceptibility : longitudinal results from the IDEFICS/I.Family study
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Masip, G, Foraita, R, Silventoinen, K, Adan, RAH, Ahrens, W, De Henauw, Stefaan, Hebestreit, A, Keski-Rahkonen, A, Lissner, L, Mehlig, K, Molnar, D, Moreno, LA, Pigeot, I, Russo, P, Veidebaum, T, Bogl, LH, and Kaprio, J
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OVERWEIGHT ,EATING BEHAVIOR ,Mediation ,TWIN ,PATHWAYS ,BODY-MASS INDEX ,POOLED ANALYSIS ,ENERGY-INTAKE ,Overeating ,Polygenic risk score ,Temporal associations ,Medicine and Health Sciences ,Genetics ,Obesity ,WEIGHT ,Body mass index ,EXPENDITURE ,ASSOCIATIONS - Abstract
Background: Many genes and molecular pathways are associated with obesity, but the mechanisms from genes to obesity are less well known. Eating behaviors represent a plausible pathway, but because the relationships of eating behaviors and obesity may be bi-directional, it remains challenging to resolve the underlying pathways. A longitudinal approach is needed to assess the contribution of genetic risk during the development of obesity in childhood. In this study we aim to examine the relationships between the polygenic risk score for body mass index (PRS-BMI), parental concern of overeating and obesity indices during childhood. Methods: The IDEFICS/I.Family study is a school-based multicenter pan-European cohort of children observed for 6 years (mean +/- SD follow-up 5.8 +/- 0.4). Children examined in 2007/2008 (wave 1) (mean +/- SD age: 4.4 +/- 1.1, range: 2-9 years), in 2009/2010 (wave 2) and in 2013/2014 (wave 3) were included. A total of 5112 children (49% girls) participated at waves 1, 2 and 3. For 2656 children with genome-wide data we constructed a PRS based on 2.1 million single nucleotide polymorphisms. Z-score BMI and z-score waist circumference (WC) were assessed and eating behaviors and relevant confounders were reported by parents via questionnaires. Parental concern of overeating was derived from principal component analyses from an eating behavior questionnaire. Results: In cross-lagged models, the prospective associations between z-score obesity indices and parental concern of overeating were bi-directional. In mediation models, the association between the PRS-BMI and parental concern of overeating at wave 3 was mediated by baseline z-BMI (beta = 0.16, 95% CI: 0.10, 0.21) and baseline z-WC (beta = 0.17, 95% CI: 0.11, 0.23). To a lesser extent, baseline parental concern of overeating also mediated the association between the PRS-BMI and z-BMI at wave 3 (beta = 0.10, 95% CI: 0.07, 0.13) and z-WC at wave 3 (beta = 0.09, 95% CI: 0.07, 0.12). Conclusions: The findings suggest that the prospective associations between obesity indices and parental concern of overeating are likely bi-directional, but obesity indices have a stronger association with future parental concern of overeating than vice versa. The findings suggest parental concern of overeating as a possible mediator in the genetic susceptibility to obesity and further highlight that other pathways are also involved. A better understanding of the genetic pathways that lead to childhood obesity can help to prevent weight gain.
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- 2021
32. The temporal relationship between parental concern of overeating and childhood obesity considering genetic susceptibility: longitudinal results from the IDEFICS/I.Family study
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Masip, G., Foraita, R., Silventoinen, K., Adan, R.A.H., Ahrens, W., De Henauw, S., Hebestreit, A., Keski-Rahkonen, A., Lissner, L., Mehlig, K., Molnar, D., Moreno, L.A., Pigeot, I., Russo, P., Veidebaum, T., Bogl, L.H., Kaprio, J., and on behalf of the IDEFICS/I.Family Consortia
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RC620-627 ,Overeating ,Polygenic risk score ,Temporal associations ,Genetics ,Obesity ,Public aspects of medicine ,RA1-1270 ,Nutritional diseases. Deficiency diseases ,Body mass index - Abstract
Background: Many genes and molecular pathways are associated with obesity, but the mechanisms from genes to obesity are less well known. Eating behaviors represent a plausible pathway, but because the relationships of eating behaviors and obesity may be bi-directional, it remains challenging to resolve the underlying pathways. A longitudinal approach is needed to assess the contribution of genetic risk during the development of obesity in childhood. In this study we aim to examine the relationships between the polygenic risk score for body mass index (PRS-BMI), parental concern of overeating and obesity indices during childhood. Methods: The IDEFICS/I.Family study is a school-based multicenter pan-European cohort of children observed for 6 years (mean ± SD follow-up 5.8 ± 0.4). Children examined in 2007/2008 (wave 1) (mean ± SD age: 4.4 ± 1.1, range: 2–9 years), in 2009/2010 (wave 2) and in 2013/2014 (wave 3) were included. A total of 5112 children (49% girls) participated at waves 1, 2 and 3. For 2656 children with genome-wide data we constructed a PRS based on 2.1 million single nucleotide polymorphisms. Z-score BMI and z-score waist circumference (WC) were assessed and eating behaviors and relevant confounders were reported by parents via questionnaires. Parental concern of overeating was derived from principal component analyses from an eating behavior questionnaire. Results: In cross-lagged models, the prospective associations between z-score obesity indices and parental concern of overeating were bi-directional. In mediation models, the association between the PRS-BMI and parental concern of overeating at wave 3 was mediated by baseline z-BMI (ß = 0.16, 95% CI: 0.10, 0.21) and baseline z-WC (ß = 0.17, 95% CI: 0.11, 0.23). To a lesser extent, baseline parental concern of overeating also mediated the association between the PRS-BMI and z-BMI at wave 3 (ß = 0.10, 95% CI: 0.07, 0.13) and z-WC at wave 3 (ß = 0.09, 95% CI: 0.07, 0.12). Conclusions: The findings suggest that the prospective associations between obesity indices and parental concern of overeating are likely bi-directional, but obesity indices have a stronger association with future parental concern of overeating than vice versa. The findings suggest parental concern of overeating as a possible mediator in the genetic susceptibility to obesity and further highlight that other pathways are also involved. A better understanding of the genetic pathways that lead to childhood obesity can help to prevent weight gain. Trial registration: Registry number: ISRCTN62310987 Retrospectively registered 17 September 2018. © 2021, The Author(s).
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- 2021
33. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants
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Zhou, B, Carrillo-Larco, Rm, Danaei, G, Riley, Lm, Paciorek, Cj, Stevens, Ga, Gregg, Ew, Bennett, Je, Solomon, B, Singleton, Rk, Sophiea, Mk, Iurilli, Mlc, Lhoste, Vpf, Cowan, Mj, Savin, S, Woodward, M, Balanova, Y, Cifkova, R, Damasceno, A, Elliott, P, Farzadfar, F, He, J, Ikeda, N, Kengne, Ap, Khang, Yh, Kim, Hc, Laxmaiah, A, Lin, Hh, Maira, Pm, Miranda, Jj, Neuhauser, H, Sundstrom, J, Varghese, C, Widyahening, Is, Zdrojewski, T, Ezzati, M, Abarca-Gomez, L, Abdeen, Za, Rahim, Hfa, Abu-Rmeileh, Nm, Acosta-Cazares, B, Adams, Rj, Aekplakorn, W, Afsana, K, Afzal, S, Agdeppa, Ia, Aghazadeh-Attari, J, Aguilar-Salinas, Ca, Agyemang, C, Ahmad, Na, Ahmadi, A, Ahmadi, N, Ahmadizar, F, Ahmed, Sh, Ahrens, W, Ajlouni, K, Al-Raddadi, R, Alarouj, M, Albuhairan, F, Aldhukair, S, Ali, Mm, Alkandari, A, Alkerwi, A, Allin, K, Aly, E, Amarapurkar, Dn, Amougou, N, Amouyel, P, Andersen, Lb, Anderssen, Sa, Anjana, Rm, Ansari-Moghaddam, A, Ansong, D, Aounallah-Skhiri, H, Araujo, J, Ariansen, I, Aris, T, Arku, Re, Arlappa, N, Aryal, Kk, Aspelund, T, Assah, Fk, Assuncao, Mcf, Auvinen, J, Avdicova, M, Azevedo, A, Azimi-Nezhad, M, Azizi, F, Azmin, M, Babu, Bv, Bahijri, S, Balakrishna, N, Bamoshmoosh, M, Banach, M, Banadinovic, M, Bandosz, P, Banegas, Jr, Baran, J, Barbagallo, Cm, Barcelo, A, Barkat, A, Barreto, M, Barros, Ajd, Barros, Mvg, Bartosiewicz, A, Basit, A, Bastos, Jld, Bata, I, Batieha, Am, Batyrbek, A, Baur, La, Beaglehole, R, Belavendra, A, Ben Romdhane, H, Benet, M, Benson, Ls, Berkinbayev, S, Bernabe-Ortiz, A, Bettiol, H, Bezerra, J, Bhagyalaxmi, A, Bhargava, Sk, Bia, D, Biasch, K, Lele, Ecb, Bikbov, Mm, Bista, B, Bjerregaard, P, Bjertness, E, Bjertness, Mb, Bjorkelund, C, Bloch, Kv, Blokstra, A, Bo, S, Bobak, M, Boeing, H, Boggia, Jg, Boissonnet, Cp, Bojesen, Se, Bongard, V, Bonilla-Vargas, A, Bopp, M, Borghs, H, Bovet, P, Boyer, Cb, Braeckman, L, Brajkovich, I, Branca, F, Breckenkamp, J, Brenner, H, Brewster, Lm, Briceno, Y, Brito, M, Bruno, G, Bueno-de-Mesquita, Hb, 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Kazakbaeva, Ulrich Keil, Lital Keinan Boker, Sirkka Keinänen-Kiukaanniemi, Roya Kelishadi, Han Cg Kemper, Maryam Keramati, Alina Kerimkulova, Mathilde Kersting, Timothy Key, Yousef Saleh Khader, Davood Khalili, Kay-Tee Khaw, Bahareh Kheiri, Motahareh Kheradmand, Alireza Khosravi, Ursula Kiechl-Kohlendorfer, Stefan Kiechl, Japhet Killewo, Dong Wook Kim, Jeongseon Kim, Heidi Klakk, Magdalena Klimek, Jurate Klumbiene, Michael Knoflach, Elin Kolle, Patrick Kolsteren, Jukka P Kontto, Raija Korpelainen, Paul Korrovits, Jelena Kos, Seppo Koskinen, Katsuyasu Kouda, Sudhir Kowlessur, Slawomir Koziel, Jana Kratenova, Vilma Kriaucioniene, Peter Lund Kristensen, Steiner Krokstad, Daan Kromhout, Herculina S Kruger, Ruzena Kubinova, Renata Kuciene, Urho M Kujala, Zbigniew Kulaga, R Krishna Kumar, Pawel Kurjata, Yadlapalli S Kusuma, Vladimir Kutsenko, Kari Kuulasmaa, Catherine Kyobutungi, Tiina Laatikainen, Carl Lachat, Youcef Laid, Tai Hing Lam, Orlando Landrove, Vera Lanska, Georg Lappas, Bagher Larijani, Tint Swe Latt, Gwenaëlle Le Coroller, Khanh Le Nguyen Bao, Tuyen D Le, Jeannette Lee, Jeonghee Lee, Nils Lehmann, Terho Lehtimäki, Daniel Lemogoum, Naomi S Levitt, Yanping Li, Christa L Lilly, Wei-Yen Lim, M Fernanda Lima-Costa, Xu Lin, Yi-Ting Lin, Lars Lind, Vijaya Lingam, Allan Linneberg, Lauren Lissner, Mieczyslaw Litwin, Wei-Cheng Lo, Helle-Mai Loit, Esther Lopez-Garcia, Tania Lopez, Paulo A Lotufo, José Eugenio Lozano, Iva Lukačević Lovrenčić, Janice L Lukrafka, Dalia Luksiene, Annamari Lundqvist, Robert Lundqvist, Nuno Lunet, Michala Lustigová, Edyta Luszczki, Guansheng Ma, Jun Ma, George Ll Machado-Coelho, Aristides M Machado-Rodrigues, Enguerran Macia, Luisa M Macieira, Ahmed A Madar, Stefania Maggi, Dianna J Magliano, Emmanuella Magriplis, Gowri Mahasampath, Bernard Maire, Marjeta Majer, Marcia Makdisse, Fatemeh Malekzadeh, Reza Malekzadeh, Rahul Malhotra, Kodavanti Mallikharjuna Rao, Sofia K Malyutina, Lynell V Maniego, Yannis Manios, Jim I Mann, Fariborz 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D. A., Peres, Marco A., Peters, Annette, Petkeviciene, Janina, Peykari, Niloofar, Son Thai Pham, Pichardo, Rafael N., Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pitakaka, Freda, Piwonska, Aleksandra, Pizarro, Andreia N., Plans-Rubio, Pedro, Polasek, Ozren, Porta, Miquel, Poudyal, Anil, Pourfarzi, Farhad, Pourshams, Akram, Poustchi, Hossein, Pradeepa, Rajendra, Price, Alison J., Price, Jacqueline F., Providencia, Rui, Puhakka, Soile E., Puiu, Maria, Punab, Margus, Qasrawi, Radwan F., Qorbani, Mostafa, Queiroz, Daniel, Tran Quoc Bao, Radic, Ivana, Radisauskas, Ricardas, Rahimikazerooni, Salar, Rahman, Mahfuzar, Raitakari, Olli, Raj, Manu, Rakhimova, Ellina M., Rao, Sudha Ramachandra, Ramachandran, Ambady, Ramos, Elisabete, Rampal, Lekhraj, Rampal, Sanjay, Rangel Reina, Daniel A., Rarra, Vayia, Rech, Cassiano Ricardo, Redon, Josep, Reganit, Paul Ferdinand M., Regecova, Valeria, Revilla, Luis, Rezaianzadeh, Abbas, Ribeiro, Robespierre, Riboli, Elio, Richter, Adrian, Rigo, Fernando, de Wit, Tobias F. Rinke, Ritti-Dias, Raphael M., Robitaille, Cynthia, Rodriguez-Artalejo, Fernando, del Cristo Rodriguez-Perez, Maria, Rodriguez-Villamizar, Laura A., Roggenbuck, Ulla, Rojas-Martinez, Rosalba, Romaguera, Dora, Romeo, Elisabetta L., Rosengren, Annika, Roy, Joel G. R., Rubinstein, Adolfo, Ruidavets, Jean-Bernard, Sandra Ruiz-Betancourt, Blanca, Ruiz-Castell, Maria, Rusakova, Iuliia A., Russo, Paola, Rutkowski, Marcin, Sabanayagam, Charumathi, Sabbaghi, Hamideh, Sachdev, Harshpal S., Sadjadi, Alireza, Safarpour, Ali Reza, Safi, Sare, Safiri, Saeid, Saidi, Olfa, Saki, Nader, Salanave, Benoit, Salazar Martinez, Eduardo, Salmeron, Diego, Salomaa, Veikko, Salonen, Jukka T., Salvetti, Massimo, Sanchez-Abanto, Jose, Sans, Susana, Santos, Diana A., Santos, Ina S., Santos, Lelita C., Santos, Maria Paula, Santos, Rute, Saramies, Jouko L., Sardinha, Luis B., Sarganas, Giselle, Sarrafzadegan, Nizal, Sathish, Thirunavukkarasu, Saum, Kai-Uwe, Savva, Savvas, Sawada, Norie, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D., Schargrodsky, Herman, Schipf, Sabine, Schmidt, Carsten O., Schnohr, Peter, Schoettker, Ben, Schramm, Sara, Schultsz, Constance, Schutte, Aletta E., Sebert, Sylvain, Sein, Aye Aye, Sen, Abhijit, Senbanjo, Idowu O., Sepanlou, Sadaf G., Servais, Jennifer, Shalnova, Svetlana A., Shamah-Levy, Teresa, Shamshirgaran, Morteza, Shanthirani, Coimbatore Subramaniam, Sharafkhah, Maryam, Sharma, Sanjib K., Shaw, Jonathan E., Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shi, Zumin, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shin, Dong Wook, Shirani, Majid, Shiri, Rahman, Shrestha, Namuna, Si-Ramlee, Khairil, Siani, Alfonso, Siantar, Rosalynn, Sibai, Abla M., de Moura Silva, Caroline Ramos, Santos Silva, Diego Augusto, Simon, Mary, Simons, Judith, Simons, Leon A., Sjostrom, Michael, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smeeth, Liam, So, Hung-Kwan, Soares, Fernanda Cunha, Sobngwi, Eugene, Soderberg, Stefan, Soemantri, Agustinus, Sofat, Reecha, Solfrizzi, Vincenzo, Somi, Mohammad Hossein, Sonestedt, Emily, Song, Yi, Sorensen, Thorkild I. 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Goya, Wareham, Nicholas, Wei, Wenbin, Weres, Aneta, Werner, Bo, Whincup, Peter H., Widhalm, Kurt, Wiecek, Andrzej, Wilks, Rainford J., Willeit, Johann, Willeit, Peter, Williams, Emmanuel A., Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A., Wong, Andrew, Wong, Tien Yin, Woo, Jean, Wu, Frederick C., Wu, Shouling, Wyszynska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yasuharu, Tabara, Ye, Xingwang, Yiallouros, Panayiotis K., Yoosefi, Moein, Yoshihara, Akihiro, You, San-Lin, Younger-Coleman, Novie O., Yusoff, Ahmad Faudzi, Zainuddin, Ahmad A., Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Elisa Zapata, Maria, Zaw, Ko Ko, Zejglicova, Kristyna, Vrkic, Tajana Zeljkovic, Zeng, Yi, Zhang, Luxia, Zhao, Dong, Zhao, Ming-Hui, Zhen, Shiqi, Zheng, Yingfeng, Zholdin, Bekbolat, Zhu, Dan, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Zoghlami, Nada, Zuniga Cisneros, Julio., School of Medicine, ACS - Diabetes & metabolism, APH - Global Health, Pulmonology, Medical Informatics, Adult Psychiatry, Global Health, APH - Quality of Care, APH - Methodology, Vascular Medicine, ACS - Atherosclerosis & ischemic syndromes, Anesthesiology, Graduate School, and ACS - Heart failure & arrhythmias
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Male ,Latin Americans ,Nutrition and Disease ,Epidemiology ,[SDV]Life Sciences [q-bio] ,Medizin ,BLOOD-PRESSURE ,030204 cardiovascular system & hematology ,Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants ,Hypertension ,Prevalence ,Control ,Tretament ,GUIDELINES ,Global Health ,Worldwide trends ,0302 clinical medicine ,Hypertension prevalence ,Voeding en Ziekte ,Medicine and Health Sciences ,kohonnut verenpaine ,Medicine ,030212 general & internal medicine ,Prevention and Control ,11 Medical and Health Sciences ,ComputingMilieux_MISCELLANEOUS ,education.field_of_study ,food and beverages ,Public Health, Global Health, Social Medicine and Epidemiology ,General Medicine ,Noncommunicable diseases ,Period prevalence ,Middle Aged ,kansainvälinen vertailu ,3142 Public health care science, environmental and occupational health ,3. Good health ,MIDDLE-INCOME ,Pooled analysis ,SYSTEMATIC ANALYSIS ,INCOME COUNTRIES ,ADULTS ,PREVENTION ,MANAGEMENT ,ADHERENCE ,DIAGNOSIS ,Western europe ,[SDE]Environmental Sciences ,Hypertension/diagnosis ,NCD Risk Factor Collaboration (NCD-RisC) ,Female ,B990 Subjects Allied to Medicine not elsewhere classified ,Life Sciences & Biomedicine ,Adult ,health-care ,esiintyvyys ,Central asia ,Population ,Nursing ,3121 Internal medicine ,03 medical and health sciences ,Medicine, General & Internal ,Drug Therapy ,General & Internal Medicine ,Life Science ,Humans ,ddc:610 ,education ,Antihypertensive Agents ,VLAG ,Aged ,Science & Technology ,Antihypertensive Agents/therapeutic use ,business.industry ,Omvårdnad ,fungi ,General and internal medicine ,Estados de Saúde e de Doença ,Taking medication ,Treatment ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Blood pressure ,Faculdade de Ciências Sociais ,3121 General medicine, internal medicine and other clinical medicine ,lääkehoito ,1182 Biochemistry, cell and molecular biology ,business ,Demography - Abstract
Background: hypertension can be detected at the primary health-care level and low-cost treatments can effectively control hypertension. We aimed to measure the prevalence of hypertension and progress in its detection, treatment, and control from 1990 to 2019 for 200 countries and territories. Methods: we used data from 1990 to 2019 on people aged 30-79 years from population-representative studies with measurement of blood pressure and data on blood pressure treatment. We defined hypertension as having systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or taking medication for hypertension. We applied a Bayesian hierarchical model to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control). The model allowed for trends over time to be non-linear and to vary by age. Findings: the number of people aged 30-79 years with hypertension doubled from 1990 to 2019, from 331 (95% credible interval 306-359) million women and 317 (292-344) million men in 1990 to 626 (584-668) million women and 652 (604-698) million men in 2019, despite stable global age-standardised prevalence. In 2019, age-standardised hypertension prevalence was lowest in Canada and Peru for both men and women; in Taiwan, South Korea, Japan, and some countries in western Europe including Switzerland, Spain, and the UK for women; and in several low-income and middle-income countries such as Eritrea, Bangladesh, Ethiopia, and Solomon Islands for men. Hypertension prevalence surpassed 50% for women in two countries and men in nine countries, in central and eastern Europe, central Asia, Oceania, and Latin America. Globally, 59% (55-62) of women and 49% (46-52) of men with hypertension reported a previous diagnosis of hypertension in 2019, and 47% (43-51) of women and 38% (35-41) of men were treated. Control rates among people with hypertension in 2019 were 23% (20-27) for women and 18% (16-21) for men. In 2019, treatment and control rates were highest in South Korea, Canada, and Iceland (treatment >70%; control >50%), followed by the USA, Costa Rica, Germany, Portugal, and Taiwan. Treatment rates were less than 25% for women and less than 20% for men in Nepal, Indonesia, and some countries in sub-Saharan Africa and Oceania. Control rates were below 10% for women and men in these countries and for men in some countries in north Africa, central and south Asia, and eastern Europe. Treatment and control rates have improved in most countries since 1990, but we found little change in most countries in sub-Saharan Africa and Oceania. Improvements were largest in high-income countries, central Europe, and some upper-middle-income and recently high-income countries including Costa Rica, Taiwan, Kazakhstan, South Africa, Brazil, Chile, Turkey, and Iran. Interpretation Improvements in the detection, treatment, and control of hypertension have varied substantially across countries, with some middle-income countries now outperforming most high-income nations. The dual approach of reducing hypertension prevalence through primary prevention and enhancing its treatment and control is achievable not only in high-income countries but also in low-income and middle-income settings., British Heart Foundation Centre of Research Excellence Grant; World Health Organization (WHO); Abdul Latif Jameel Institute for Disease and Emergency Analytics Fellowship
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- 2021
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34. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight
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Solfrizzi, V. Somi, M.H. Sonestedt, E. Song, Y. Sørensen, T.I.A. Sørgjerd, E.P. Jérome, C.S. Soto-Rojas, V.E. Soumaré, A. Sovic, S. Sparboe-Nilsen, B. Sparrenberger, K. Spinelli, A. Spiroski, I. Staessen, J.A. Stamm, H. Stathopoulou, M.G. Staub, K. Stavreski, B. Steene-Johannessen, J. Stehle, P. Stein, A.D. Stergiou, G.S. Stessman, J. Stevanovic, R. Stieber, J. Stöckl, D. Stocks, T. Stokwiszewski, J. Stoyanova, E. Stratton, G. Stronks, K. Strufaldi, M.W. Sturua, L. Suárez-Medina, S. Suka, M. Sun, C.-A. Sundström, J. Sung, Y.-T. Sunyer, J. Suriyawongpaisal, P. Swinburn, B.A. Sy, R.G. Syddall, H.E. Sylva, R.C. Szklo, M. Szponar, L. Tai, E.S. Tammesoo, M.-L. Tamosiunas, A. Tan, E.J. Tang, X. Tanrygulyyeva, M. Tanser, F. Tao, Y. Tarawneh, M.R. Tarp, J. Tarqui-Mamani, C.B. Braunerová, R.T. Taylor, A. Taylor, J. Tchibindat, F. Tebar, W.R. Tell, G.S. Tello, T. Tham, Y.C. Thankappan, K.R. Theobald, H. Theodoridis, X. Thijs, L. Thomas, N. Thuesen, B.H. Tichá, L. Timmermans, E.J. Tjonneland, A. Tolonen, H.K. Tolstrup, J.S. Topbas, M. Topór-Madry, R. Torheim, L.E. Tormo, M.J. Tornaritis, M.J. Torrent, M. Torres-Collado, L. Toselli, S. Touloumi, G. Traissac, P. Tran, T.T.-H. Trichopoulos, D. Trichopoulou, A. Trinh, D.T.H. Trivedi, A. Tshepo, L. Tsigga, M. Tsugane, S. Tuliakova, A.M. Tulloch-Reid, M.K. Tullu, F. Tuomainen, T.-P. Tuomilehto, J. Turley, M.L. Twig, G. Tynelius, P. Tzotzas, T. Tzourio, C. Ueda, P. Ugel, E. Ukoli, F.A.M. Ulmer, H. Unal, B. Usupova, Z. Uusitalo, H.M.T. Uysal, N. Vaitkeviciute, J. Valdivia, G. Vale, S. Valvi, D. van Dam, R.M. Van der Heyden, J. van der Schouw, Y.T. Van Herck, K. Van Minh, H. Van Schoor, N.M. van Valkengoed, I.G.M. Vanderschueren, D. Vanuzzo, D. Varbo, A. Varela-Moreiras, G. Varona-Pérez, P. Vasan, S.K. Vega, T. Veidebaum, T. Velasquez-Melendez, G. Velika, B. Veronesi, G. Verschuren, W.M.M. Victora, C.G. Viegi, G. Viet, L. Villalpando, S. Vineis, P. Vioque, J. Virtanen, J.K. Visser, M. Visvikis-Siest, S. Viswanathan, B. Vladulescu, M. Vlasoff, T. Vocanec, D. Vollenweider, P. Völzke, H. Voutilainen, A. Voutilainen, S. Vrijheid, M. Vrijkotte, T.G.M. Wade, A.N. Wagner, A. Waldhör, T. Walton, J. Wambiya, E.O.A. Bebakar, A.M.W. Mohamud, W.N.W. de Souza Wanderley Júnior, R. Wang, M.-D. Wang, N. Wang, Q. Wang, X. Wang, Y.X. Wang, Y.-W. Wannamethee, S.G. Wareham, N. Weber, A. Wedderkopp, N. Weerasekera, D. Weghuber, D. Wei, W. Weres, A. Werner, B. Whincup, P.H. Widhalm, K. Widyahening, I.S. Wiecek, A. Wilks, R.J. Willeit, J. Willeit, P. Williams, J. Wilsgaard, T. Wojtyniak, B. Wong-McClure, R.A. Wong, A. Wong, J.E. Wong, T.Y. Woo, J. Woodward, M. Wu, F.C. Wu, J. Wu, L.J. Wu, S. Xu, H. Xu, L. Yaacob, N.A. Yamborisut, U. Yan, W. Yang, L. Yang, X. Yang, Y. Yardim, N. Yaseri, M. Yasuharu, T. Ye, X. Yiallouros, P.K. Yoosefi, M. Yoshihara, A. You, Q.S. You, S.-L. Younger-Coleman, N.O. Yusof, S.M. Yusoff, A.F. Zaccagni, L. Zafiropulos, V. Zainuddin, A.A. Zakavi, S.R. Zamani, F. Zambon, S. Zampelas, A. Zamrazilová, H. Zapata, M.E. Zargar, A.H. Zaw, K.K. Zdrojewski, T. Zejglicova, K. Vrkic, T.Z. Zeng, Y. Zhang, L. Zhang, Z.-Y. Zhao, D. Zhao, M.-H. Zhao, W. Zhen, S. Zheng, W. Zheng, Y. Zholdin, B. Zhou, M. Zhu, D. Zins, M. Zitt, E. Zocalo, Y. Cisneros, J.Z. Zuziak, M. Ezzati, M. Filippi, S. NCD Risk Factor Collaboration (NCD-RisC)
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nutritional and metabolic diseases ,sense organs ,skin and connective tissue diseases - Abstract
From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions. © Copyright.
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- 2021
35. The temporal relationship between parental concern of overeating and childhood obesity considering genetic susceptibility: longitudinal results from the IDEFICS/I.Family study
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Masip G, Foraita R, Silventoinen K, Adan RAH, Ahrens W, De Henauw S, Hebestreit A, Keski-Rahkonen A, Lissner L, Mehlig K, Molnar D, Moreno LA, Pigeot I, Russo P, Veidebaum T, Bogl LH, Kaprio J and IDEFICS/I.Family Consortia
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obesity ,Overeating ,Polygenic risk score ,Temporal associations ,body mass index - Abstract
Background: Many genes and molecular pathways are associated with obesity, but the mechanisms from genes to obesity are less well known. Eating behaviors represent a plausible pathway, but because the relationships of eating behaviors and obesity may be bi-directional, it remains challenging to resolve the underlying pathways. A longitudinal approach is needed to assess the contribution of genetic risk during the development of obesity in childhood. In this study we aim to examine the relationships between the polygenic risk score for body mass index (PRS-BMI), parental concern of overeating and obesity indices during childhood. Methods: The IDEFICS/I.Family study is a school-based multicenter pan-European cohort of children observed for 6 years (mean ± SD follow-up 5.8 ± 0.4). Children examined in 2007/2008 (wave 1) (mean ± SD age: 4.4 ± 1.1, range: 2-9 years), in 2009/2010 (wave 2) and in 2013/2014 (wave 3) were included. A total of 5112 children (49% girls) participated at waves 1, 2 and 3. For 2656 children with genome-wide data we constructed a PRS based on 2.1 million single nucleotide polymorphisms. Z-score BMI and z-score waist circumference (WC) were assessed and eating behaviors and relevant confounders were reported by parents via questionnaires. Parental concern of overeating was derived from principal component analyses from an eating behavior questionnaire. Results: In cross-lagged models, the prospective associations between z-score obesity indices and parental concern of overeating were bi-directional. In mediation models, the association between the PRS-BMI and parental concern of overeating at wave 3 was mediated by baseline z-BMI (? = 0.16, 95% CI: 0.10, 0.21) and baseline z-WC (? = 0.17, 95% CI: 0.11, 0.23). To a lesser extent, baseline parental concern of overeating also mediated the association between the PRS-BMI and z-BMI at wave 3 (? = 0.10, 95% CI: 0.07, 0.13) and z-WC at wave 3 (? = 0.09, 95% CI: 0.07, 0.12). Conclusions: The findings suggest that the prospective associations between obesity indices and parental concern of overeating are likely bi-directional, but obesity indices have a stronger association with future parental concern of overeating than vice versa. The findings suggest parental concern of overeating as a possible mediator in the genetic susceptibility to obesity and further highlight that other pathways are also involved. A better understanding of the genetic pathways that lead to childhood obesity can help to prevent weight gain.
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- 2021
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36. COVID-19-Forschungsdaten leichter zugänglich machen - Aufbau einer bundesweiten Informationsinfrastruktur
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Schmidt, C.O., Fluck, J., Golebiewski, M., Grabenhenrich, L., Hahn, H., Kirsten, T., Klammt, S., Löbe, M., Sax, U., Thun, S., Pigeot, I., and Publica
- Abstract
Public-Health-Forschung, epidemiologische und klinische Studien sind erforderlich, um die COVID-19-Pandemie besser zu verstehen und geeignete Maßnahmen zu ergreifen. Daher wurden auch in Deutschland zahlreiche Forschungsprojekte initiiert. Zum heutigen Zeitpunkt ist es ob der Fülle an Informationen jedoch kaum noch möglich, einen Überblick über die vielfältigen Forschungsaktivitäten und deren Ergebnisse zu erhalten. Im Rahmen der Initiative ""Nationale Forschungsdateninfrastruktur für personenbezogene Gesundheitsdaten"" (NFDI4Health) schafft die ""Task Force COVID-19"" einen leichteren Zugang zu SARS-CoV-2- und COVID-19-bezogenen klinischen, epidemiologischen und Public-Health-Forschungsdaten. Dabei werden die sogenannten FAIR-Prinzipien (Findable, Accessible, Interoperable, Reusable) berücksichtigt, die eine schnellere Kommunikation von Ergebnissen befördern sollen. Zu den wesentlichen Arbeitsinhalten der Taskforce gehören die Erstellung eines Studienportals mit Metadaten, Erhebungsinstrumenten, Studiendokumenten, Studienergebnissen und Veröffentlichungen sowie einer Suchmaschine für Preprint-Publikationen. Weitere Inhalte sind ein Konzept zur Verknüpfung von Forschungs- und Routinedaten, Services zum verbesserten Umgang mit Bilddaten und die Anwendung standardisierter Analyseroutinen für harmonisierte Qualitätsbewertungen. Die im Aufbau befindliche Infrastruktur erleichtert die Auffindbarkeit von und den Umgang mit deutscher COVID-19-Forschung. Die im Rahmen der NFDI4Health Task Force COVID-19 begonnenen Entwicklungen sind für weitere Forschungsthemen nachnutzbar, da die adressierten Herausforderungen generisch für die Auffindbarkeit von und den Umgang mit Forschungsdaten sind.
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- 2021
37. Internationale Kohortenstudien
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Ahrens, W. and Pigeot, I.
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- 2012
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38. Primärprävention: Konzepte und Strategien
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Zeeb, H., Ahrens, W., and Pigeot, I.
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- 2011
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39. Standardisierte Entwicklung der IDEFICS-Intervention und Implementierung in Deutschland
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Gallois, K.M., de Henauw, S., Hassel, H., Hebestreit, A., Pigeot, I., and Zeeb, H.
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- 2011
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40. Übergewicht und Adipositas bei Kindern und Jugendlichen: Die weltweite Situation
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Pigeot, I., Buck, C., Herrmann, D., and Ahrens, W.
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- 2010
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41. Acknowledgments
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Ahrens, W, Moreno, L, and Pigeot, I
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- 2014
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42. Usual energy and macronutrient intakes in 2-9-year-old European children
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Börnhorst, C, Huybrechts, I, Hebestreit, A, Krogh, V, De Decker, A, Barba, G, Moreno, L A, Lissner, L, Tornaritis, M, Loit, H-M, Molnár, D, and Pigeot, I
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- 2014
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43. Dietary energy density in young children across Europe
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Hebestreit, A, Börnhorst, C, Pala, V, Barba, G, Eiben, G, Veidebaum, T, Hadjigergiou, C, Molnár, D, Claessens, M, Fernández-Alvira, J M, and Pigeot, I
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- 2014
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44. Adherence to a Mediterranean-like dietary pattern in children from eight European countries. The IDEFICS study
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Tognon, G, Moreno, L A, Mouratidou, T, Veidebaum, T, Molnár, D, Russo, P, Siani, A, Akhandaf, Y, Krogh, V, Tornaritis, M, Börnhorst, C, Hebestreit, A, Pigeot, I, and Lissner, L
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- 2014
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45. Prevalence of overweight and obesity in European children below the age of 10
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Ahrens, W, Pigeot, I, Pohlabeln, H, De Henauw, S, Lissner, L, Molnár, D, Moreno, L A, Tornaritis, M, Veidebaum, T, and Siani, A
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- 2014
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46. Adherence to the obesity-related lifestyle intervention targets in the IDEFICS study
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Kovács, E, Siani, A, Konstabel, K, Hadjigeorgiou, C, de Bourdeaudhuij, I, Eiben, G, Lissner, L, Gwozdz, W, Reisch, L, Pala, V, Moreno, L A, Pigeot, I, Pohlabeln, H, Ahrens, W, and Molnár, D
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- 2014
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47. Metabolic syndrome in young children: definitions and results of the IDEFICS study
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Ahrens, W, Moreno, L A, Mårild, S, Molnár, D, Siani, A, De Henauw, S, Böhmann, J, Günther, K, Hadjigeorgiou, C, Iacoviello, L, Lissner, L, Veidebaum, T, Pohlabeln, H, and Pigeot, I
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- 2014
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48. Reference values of bone stiffness index and C-terminal telopeptide in healthy European children
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Herrmann, D, Intemann, T, Lauria, F, Mårild, S, Molnár, D, Moreno, L A, Sioen, I, Tornaritis, M, Veidebaum, T, Pigeot, I, and Ahrens, W
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- 2014
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49. Reference values for leptin and adiponectin in children below the age of 10 based on the IDEFICS cohort
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Erhardt, E, Foraita, R, Pigeot, I, Barba, G, Veidebaum, T, Tornaritis, M, Michels, N, Eiben, G, Ahrens, W, Moreno, L A, Kovács, E, and Molnár, D
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- 2014
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50. Percentile reference values for anthropometric body composition indices in European children from the IDEFICS study
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Nagy, P, Kovacs, E, Moreno, L A, Veidebaum, T, Tornaritis, M, Kourides, Y, Siani, A, Lauria, F, Sioen, I, Claessens, M, Mårild, S, Lissner, L, Bammann, K, Intemann, T, Buck, C, Pigeot, I, Ahrens, W, and Molnár, D
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- 2014
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