{"title":"The associations of long working hours and unhealthy diet on cardiometabolic outcomes and mortality in US workers.","authors":"Xiang Li, Jian Li, Xuyuehe Ren, Tong Xia, Onyebuchi A Arah, Liwei Chen","doi":"10.1016/j.ypmed.2025.108275","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To examine independent and joint associations of long working hours (LWH) and EAT-Lancet diet on cardiometabolic outcomes and mortality in US workers.</p><p><strong>Methods: </strong>This prospective cohort included US workers from the National Health and Nutrition Examination Survey, with cross-sectional baseline data from 1999 to March 2020. A subsample of participants from 1999 to 2018 was linked to the National Death Index, with mortality follow-up through December 2019. The independent and joint associations of LWH (≥ 55 vs. < 55 h/week) and EAT-Lancet diet scores (low vs. high) on cardiometabolic outcomes and mortality were estimated using multivariable logistic and Cox proportional hazards models, respectively.</p><p><strong>Results: </strong>LWH was associated with higher odds of obesity (OR = 1.20; 95 % CI = 1.07, 1.34) among all workers and higher CVD mortality among workers with high CVD risk at baseline (HR = 1.64, 95 %CI = 0.79, 3.12). Low diet scores were associated with higher odds of obesity (OR = 1.34, 95 %CI = 1.21, 1.42) and diabetes (OR = 1.33, 95 %CI = 1.01, 1.76) among all workers. Working hours and diet scores were jointly associated with obesity and CVD mortality, indicating by the relative excess risk due to interaction greater than zero among all workers.</p><p><strong>Conclusions: </strong>LWH and unhealthy diet are independent risk factors and may interact to exacerbate adverse cardiometabolic health outcomes.</p>","PeriodicalId":20339,"journal":{"name":"Preventive medicine","volume":" ","pages":"108275"},"PeriodicalIF":4.3000,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Preventive medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.ypmed.2025.108275","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: To examine independent and joint associations of long working hours (LWH) and EAT-Lancet diet on cardiometabolic outcomes and mortality in US workers.
Methods: This prospective cohort included US workers from the National Health and Nutrition Examination Survey, with cross-sectional baseline data from 1999 to March 2020. A subsample of participants from 1999 to 2018 was linked to the National Death Index, with mortality follow-up through December 2019. The independent and joint associations of LWH (≥ 55 vs. < 55 h/week) and EAT-Lancet diet scores (low vs. high) on cardiometabolic outcomes and mortality were estimated using multivariable logistic and Cox proportional hazards models, respectively.
Results: LWH was associated with higher odds of obesity (OR = 1.20; 95 % CI = 1.07, 1.34) among all workers and higher CVD mortality among workers with high CVD risk at baseline (HR = 1.64, 95 %CI = 0.79, 3.12). Low diet scores were associated with higher odds of obesity (OR = 1.34, 95 %CI = 1.21, 1.42) and diabetes (OR = 1.33, 95 %CI = 1.01, 1.76) among all workers. Working hours and diet scores were jointly associated with obesity and CVD mortality, indicating by the relative excess risk due to interaction greater than zero among all workers.
Conclusions: LWH and unhealthy diet are independent risk factors and may interact to exacerbate adverse cardiometabolic health outcomes.
期刊介绍:
Founded in 1972 by Ernst Wynder, Preventive Medicine is an international scholarly journal that provides prompt publication of original articles on the science and practice of disease prevention, health promotion, and public health policymaking. Preventive Medicine aims to reward innovation. It will favor insightful observational studies, thoughtful explorations of health data, unsuspected new angles for existing hypotheses, robust randomized controlled trials, and impartial systematic reviews. Preventive Medicine''s ultimate goal is to publish research that will have an impact on the work of practitioners of disease prevention and health promotion, as well as of related disciplines.