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Body silhouettes as a tool to reflect obesity in the past

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  • معلومة اضافية
    • Contributors:
      Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier); Service d'allergologie et de pneumologie [Hôpital Arnaud de Villeneuve]; Centre Hospitalier Universitaire de Montpellier (CHU Montpellier ); Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP); Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU); Sorbonne Université (SU); Physiopathologie et Epidémiologie des Maladies Respiratoires (PHERE (UMR_S_1152 / U1152)); Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM); Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) (IAB); Centre Hospitalier Universitaire [Grenoble] (CHU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Etablissement français du sang - Auvergne-Rhône-Alpes (EFS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA); Bordeaux population health (BPH); Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM); Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM); Centre Hospitalier Universitaire [Grenoble] (CHU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Etablissement français du sang - Auvergne-Rhône-Alpes (EFS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]); Læknadeild (HÍ); Faculty of Medicine (UI); Heilbrigðisvísindasvið (HÍ); School of Health Sciences (UI); Háskóli Íslands; University of Iceland; Commission of the European Communities
    • بيانات النشر:
      Public Library of Science (PLoS), 2018.
    • الموضوع:
      2018
    • نبذة مختصرة :
      Publisher's version (útgefin grein)
      Life course data on obesity may enrich the quality of epidemiologic studies analysing health consequences of obesity. However, achieving such data may require substantial resources. We investigated the use of body silhouettes in adults as a tool to reflect obesity in the past. We used large population-based samples to analyse to what extent self-reported body silhouettes correlated with the previously measured (9–23 years) body mass index (BMI) from both measured (European Community Respiratory Health Survey, N = 3 041) and self-reported (Respiratory Health In Northern Europe study, N = 3 410) height and weight. We calculated Spearman correlation between BMI and body silhouettes and ROC-curve analyses for identifying obesity (BMI ≥30) at ages 30 and 45 years. Spearman correlations between measured BMI age 30 (±2y) or 45 (±2y) and body silhouettes in women and men were between 0.62–0.66 and correlations for self-reported BMI were between 0.58–0.70. The area under the curve for identification of obesity at age 30 using body silhouettes vs previously measured BMI at age 30 (±2y) was 0.92 (95% CI 0.87, 0.97) and 0.85 (95% CI 0.75, 0.95) in women and men, respectively; for previously self-reported BMI, 0.92 (95% CI 0.88, 0.95) and 0.90 (95% CI 0.85, 0.96). Our study suggests that body silhouettes are a useful epidemiological tool, enabling retrospective differentiation of obesity and non-obesity in adult women and men.
      The project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 633212. The co-ordination of ECRHS I and ECRHS I was supported by the European Commission. The co-ordination of ECRHS III was supported by the Medical Research Council (Grant Number 92091). The co-ordination of the RHINE study is led by Professor C. Janson at the Uppsala University. The funding sources for the local ECRHS and RHINE studies are provided in the on-line supplement.
    • File Description:
      application/pdf; pdf
    • ISSN:
      1932-6203
    • Rights:
      OPEN
    • الرقم المعرف:
      edsair.doi.dedup.....a79e3dd70b5169f658a9ea34364cf3ce