Body mass index trajectories during mid to late life and risks of mortality and cardiovascular outcomes: Results from four prospective cohorts

被引:20
作者
Cheng, Yun-Jiu [1 ,2 ]
Chen, Zhen-Guang [3 ]
Wu, Su-Hua [1 ,2 ]
Mei, Wei-Yi [1 ,2 ]
Yao, Feng-Juan [4 ]
Zhang, Ming [5 ]
Luo, Dong-Ling [6 ]
机构
[1] Sun Yat Sen Univ, Affiliated Hosp 1, Dept Cardiol, Guangzhou 510700, Peoples R China
[2] Key Lab Assisted Circulat, Minist Hlth, Guangzhou, Peoples R China
[3] Sun Yat Sen Univ, Affiliated Hosp 1, Dept Thorac Surg, Guangzhou, Peoples R China
[4] Sun Yat Sen Univ, Dept Med Ultrason, Affiliated Hosp 1, Guangzhou, Peoples R China
[5] Capital Med Univ, Beijing Anzhen Hosp, Dept Cardiol, Beijing, Peoples R China
[6] Sun Yat Sen Univ, Affiliated Hosp 8, Dept Cardiol, Shenzhen 518033, Peoples R China
基金
中国国家自然科学基金;
关键词
Trajectories; Body mass index; Cardiovascular events; Mortality; Mid-to-late life; ALL-CAUSE MORTALITY; WEIGHT VARIABILITY; BLOOD-PRESSURE; OLDER-ADULTS; FOLLOW-UP; ASSOCIATIONS; JAPANESE; MEN; AGE; ATHEROSCLEROSIS;
D O I
10.1016/j.eclinm.2021.100790
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Our understanding of the weight-outcome association mainly comes from single-time body mass index (BMI) measurement. However, data on long-term trajectories of within-person changes in BMI on diverse study outcomes are sparse. Therefore, this study is to determine the associations of individual BMI trajectories and cardiovascular outcomes. Methods: The present analysis was based on data from 4 large prospective cohorts and restricted to participants aged >= 45 years with at least two BMI measurements. Hazard ratios (HR) and 95% confidence intervals (95%CI) for each outcome according to different BMI trajectories were calculated in Cox regression models. Findings: The final sample comprised 29,311 individuals (mean age 58.31 years, and 77.31% were white), with a median 4 BMI measurements used in this study. During a median follow-up of 21.16 years, there were a total of 10,192 major adverse cardiovascular events (MACE) and 11,589 deaths. A U-shaped relation was seen with all study outcomes. Compared with maintaining stable weight, the multivariate adjusted HR for MACE were 1.53 (95%CI 1.40-1.66), 1.26 (95%CI 1.16-1.37) and 1.08 (95%CI 1.02-1.15) respectively for rapid, moderate and slow weight loss; 1.01 (95%CI 0.95-1.07), 1.13 (95%CI 1.05-1.21) and 1.29 (95%CI 1.20-1.40) respectively for slow, moderate and rapid weight gain. Identical patterns of association were observed for all other outcomes. The development of BMI differed markedly between the outcome-free individuals and those who went on to experience adverse events, generally beginning to diverge 10 years before the occurrence of the events. Interpretation: Our findings may signal an underlying high-risk population and inspire future studies on weight management. (C) 2021 The Authors. Published by Elsevier Ltd.
引用
收藏
页数:10
相关论文
共 55 条
[1]   Changes in Weight at the End of Life: Characterizing Weight Loss by Time to Death in a Cohort Study of Older Men [J].
Alley, Dawn E. ;
Metter, E. Jeffrey ;
Griswold, Michael E. ;
Harris, Tamara B. ;
Simonsick, Eleanor M. ;
Longo, Dan L. ;
Ferrucci, Luigi .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2010, 172 (05) :558-565
[2]   LONG-TERM EFFECTS OF CHANGE IN BODY-WEIGHT ON ALL-CAUSE MORTALITY - A REVIEW [J].
ANDRES, R ;
MULLER, DC ;
SORKIN, JD .
ANNALS OF INTERNAL MEDICINE, 1993, 119 (07) :737-743
[3]   Body mass index and premature mortality in physically heavily working men - a ten-year follow-up of 20,000 construction workers [J].
Arndt, Volker ;
Rothenbacher, Dietrich ;
Zschenderlein, Bernd ;
Schuberth, Stephan ;
Brenner, Hermann .
JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL MEDICINE, 2007, 49 (08) :913-921
[4]   BMI and all cause mortality: systematic review and non-linear dose-response meta-analysis of 230 cohort studies with 3.74 million deaths among 30.3 million participants [J].
Aune, Dagfinn ;
Sen, Abhijit ;
Prasad, Manya ;
Norat, Teresa ;
Janszky, Imre ;
Tonstad, Serena ;
Romundstad, Pal ;
Vatten, Lars J. .
BMJ-BRITISH MEDICAL JOURNAL, 2016, 353
[5]   Body-Weight Fluctuations and Outcomes in Coronary Disease [J].
Bangalore, Sripal ;
Fayyad, Rana ;
Laskey, Rachel ;
DeMicco, David A. ;
Messerli, Franz H. ;
Waters, David D. .
NEW ENGLAND JOURNAL OF MEDICINE, 2017, 376 (14) :1332-1340
[6]   Multi-ethnic study of atherosclerosis: Objectives and design [J].
Bild, DE ;
Bluemke, DA ;
Burke, GL ;
Detrano, R ;
Roux, AVD ;
Folsom, AR ;
Greenland, P ;
Jacobs, DR ;
Kronmal, R ;
Liu, K ;
Nelson, JC ;
O'Leary, D ;
Saad, MF ;
Shea, S ;
Szklo, M ;
Tracy, RP .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2002, 156 (09) :871-881
[7]   Latent Heterogeneity in Long-Term Trajectories of Body Mass Index in Older Adults [J].
Botoseneanu, Anda ;
Liang, Jersey .
JOURNAL OF AGING AND HEALTH, 2013, 25 (02) :342-363
[8]   Social Stratification of Body Weight Trajectory in Middle-Age and Older Americans: Results From a 14-Year Longitudinal Study [J].
Botoseneanu, Anda ;
Liang, Jersey .
JOURNAL OF AGING AND HEALTH, 2011, 23 (03) :454-480
[9]   IMPROVING LONG-TERM WEIGHT-LOSS - PUSHING THE LIMITS OF TREATMENT [J].
BROWNELL, KD ;
JEFFERY, RW .
BEHAVIOR THERAPY, 1987, 18 (04) :353-374
[10]   Variability in Glycated Hemoglobin and Risk of Poor Outcomes Among People With Type 2 Diabetes in a Large Primary Care Cohort Study [J].
Critchley, Julia A. ;
Carey, Iain M. ;
Harris, Tess ;
DeWilde, Stephen ;
Cook, Derek G. .
DIABETES CARE, 2019, 42 (12) :2237-2246