Body shape trajectories and the incidence of hypertension in a Mediterranean cohort: The sun study.


Journal

Nutrition, metabolism, and cardiovascular diseases : NMCD
ISSN: 1590-3729
Titre abrégé: Nutr Metab Cardiovasc Dis
Pays: Netherlands
ID NLM: 9111474

Informations de publication

Date de publication:
03 2019
Historique:
received: 05 07 2018
revised: 05 11 2018
accepted: 14 12 2018
pubmed: 13 2 2019
medline: 18 12 2019
entrez: 13 2 2019
Statut: ppublish

Résumé

Our aim was to assess the association between trajectories of body-shape across the first 40 years of life and subsequent development of hypertension in a Mediterranean cohort. We used a group-based modeling approach to assess body shape trajectories from age 5 to 40 years, among 7514 participants included in the SUN study (1999-2016), and assessed the subsequent incidence of hypertension. To create the trajectories, we used a censored normal model as a polynomial function of age. Cox models were used to estimates hazard ratios (HR) for hypertension according to body shape trajectories. Identified trajectories were "childhood lean -mid-life increase", "childhood medium-mid-life stable", " childhood heavy -mid-life decrease", and "childhood heavy -mid-life increase" for women; and "childhood lean-mid-life increase", "childhood medium-mid-life stable", "childhood medium -mid-life increase" and "childhood heavy-mid-life stable" for men. After a follow-up of 63,068 person-years, 865 incident cases of hypertension were found. Among women, compared to those in the "childhood medium-mid-life stable" trajectory, those, in the "childhood heavy -mid-life increase" trajectory showed higher risk to develop hypertension [HR = 1.72 (1.17-2.53)]. In men, compared with those in the "childhood medium-mid-life stable" trajectory, those in the "childhood lean and childhood medium -mid-life increase" and the "childhood heavy- mid-life stable" trajectories showed higher subsequent incidence of hypertension [HR = 1.43 (1.11-1.85), HR = 1.52 (1.17-1.97) and HR = 1.56 (1.14-2.14), respectively] after adjusting for potential confounders (including age, lifestyles, dietary intake, personality traits, physical activity and sedentary behaviors). Our results suggest that mid-life increases in body shape or maintaining a heavy body shape during early and middle life in men and childhood heavy-mid-life increase in women is associated with a higher subsequent risk of developing hypertension in this Mediterranean population.

Identifiants

pubmed: 30745261
pii: S0939-4753(18)30360-0
doi: 10.1016/j.numecd.2018.12.004
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

244-253

Informations de copyright

Copyright © 2018 The Italian Society of Diabetology, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition, and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.

Auteurs

C Sayon-Orea (C)

Department of Preventive Medicine, Complejo Hospitalario de Navarra, Pamplona, Spain; University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine-Clínica Universidad de Navarra, Pamplona, Spain. Electronic address: msayon@unav.es.

M Bes-Rastrollo (M)

University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine-Clínica Universidad de Navarra, Pamplona, Spain; Centro de Investigacion Biomedica en Red Area de Fisiologia de la Obesidad y la Nutricion (CIBEROBN), Madrid, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain.

M Song (M)

Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Clinical and Translational Epidemiology Unit Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA.

D Hang (D)

Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China.

F B Hu (FB)

Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Harvard Medical School, Boston, MA, USA.

L Ruiz-Estigarribia (L)

University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine-Clínica Universidad de Navarra, Pamplona, Spain.

M A Martinez-Gonzalez (MA)

University of Navarra, Department of Preventive Medicine and Public Health, School of Medicine-Clínica Universidad de Navarra, Pamplona, Spain; Centro de Investigacion Biomedica en Red Area de Fisiologia de la Obesidad y la Nutricion (CIBEROBN), Madrid, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

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