Chan Young Lee , Seung Yeon Jeon , Joonho Ahn , Ji-Hun Song , Mo-Yeol Kang
{"title":"长时间工作与血脂异常:一项系统综述和荟萃分析","authors":"Chan Young Lee , Seung Yeon Jeon , Joonho Ahn , Ji-Hun Song , Mo-Yeol Kang","doi":"10.1016/j.shaw.2025.07.004","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>This study aimed to evaluate the association between long working hours and dyslipidemia risk, as well as changes in blood lipid levels, through a systematic review and meta-analysis.</div></div><div><h3>Methods</h3><div>A systematic review and meta-analysis were conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Meta-analysis Of Observational Studies in Epidemiology (MOOSE) guidelines. Studies were identified through PubMed, EMBASE, and Cochrane Library, with data published until October 2024. Observational and interventional studies examining the relationship between long working hours and dyslipidemia or lipid profiles were included. Dyslipidemia was defined based on low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), or total cholesterol levels. Pooled odds ratios (ORs) were calculated using fixed-effects models and pooled unstandardized mean differences in the lipid levels were calculated using random-effects models, with subgroup analyses conducted to assess the effects of study design, lipid profiles, and exposure definitions.</div></div><div><h3>Results</h3><div>A total of 20 studies met the inclusion criteria. The resuls of meta-analysis showed that long working hours are associated with a significant 10% increase in dyslipidemia risk (OR = 1.10, 95% CI: 1.04–1.17). Subgroup analyses revealed that the association was stronger in cohort studies (OR = 1.13, 95% CI: 1.05–1.20) and among individuals with high LDL-C levels (OR = 1.30, 95% CI: 1.01–1.67). Differences in HDL-C, LDL-C, TG, and total cholesterol were observed but were not statistically significant.</div></div><div><h3>Conclusion</h3><div>Long working hours are modestly associated with an increased risk of dyslipidemia. These findings provide evidence for developing workplace-based dyslipidemia prevention programs.</div></div>","PeriodicalId":56149,"journal":{"name":"Safety and Health at Work","volume":"16 3","pages":"Pages 268-280"},"PeriodicalIF":2.9000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Long Working Hours and Dyslipidemia: A Systematic Review and Meta-analysis\",\"authors\":\"Chan Young Lee , Seung Yeon Jeon , Joonho Ahn , Ji-Hun Song , Mo-Yeol Kang\",\"doi\":\"10.1016/j.shaw.2025.07.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>This study aimed to evaluate the association between long working hours and dyslipidemia risk, as well as changes in blood lipid levels, through a systematic review and meta-analysis.</div></div><div><h3>Methods</h3><div>A systematic review and meta-analysis were conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Meta-analysis Of Observational Studies in Epidemiology (MOOSE) guidelines. Studies were identified through PubMed, EMBASE, and Cochrane Library, with data published until October 2024. Observational and interventional studies examining the relationship between long working hours and dyslipidemia or lipid profiles were included. Dyslipidemia was defined based on low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), or total cholesterol levels. Pooled odds ratios (ORs) were calculated using fixed-effects models and pooled unstandardized mean differences in the lipid levels were calculated using random-effects models, with subgroup analyses conducted to assess the effects of study design, lipid profiles, and exposure definitions.</div></div><div><h3>Results</h3><div>A total of 20 studies met the inclusion criteria. The resuls of meta-analysis showed that long working hours are associated with a significant 10% increase in dyslipidemia risk (OR = 1.10, 95% CI: 1.04–1.17). Subgroup analyses revealed that the association was stronger in cohort studies (OR = 1.13, 95% CI: 1.05–1.20) and among individuals with high LDL-C levels (OR = 1.30, 95% CI: 1.01–1.67). Differences in HDL-C, LDL-C, TG, and total cholesterol were observed but were not statistically significant.</div></div><div><h3>Conclusion</h3><div>Long working hours are modestly associated with an increased risk of dyslipidemia. These findings provide evidence for developing workplace-based dyslipidemia prevention programs.</div></div>\",\"PeriodicalId\":56149,\"journal\":{\"name\":\"Safety and Health at Work\",\"volume\":\"16 3\",\"pages\":\"Pages 268-280\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Safety and Health at Work\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2093791125000551\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Safety and Health at Work","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2093791125000551","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Long Working Hours and Dyslipidemia: A Systematic Review and Meta-analysis
Background
This study aimed to evaluate the association between long working hours and dyslipidemia risk, as well as changes in blood lipid levels, through a systematic review and meta-analysis.
Methods
A systematic review and meta-analysis were conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Meta-analysis Of Observational Studies in Epidemiology (MOOSE) guidelines. Studies were identified through PubMed, EMBASE, and Cochrane Library, with data published until October 2024. Observational and interventional studies examining the relationship between long working hours and dyslipidemia or lipid profiles were included. Dyslipidemia was defined based on low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), or total cholesterol levels. Pooled odds ratios (ORs) were calculated using fixed-effects models and pooled unstandardized mean differences in the lipid levels were calculated using random-effects models, with subgroup analyses conducted to assess the effects of study design, lipid profiles, and exposure definitions.
Results
A total of 20 studies met the inclusion criteria. The resuls of meta-analysis showed that long working hours are associated with a significant 10% increase in dyslipidemia risk (OR = 1.10, 95% CI: 1.04–1.17). Subgroup analyses revealed that the association was stronger in cohort studies (OR = 1.13, 95% CI: 1.05–1.20) and among individuals with high LDL-C levels (OR = 1.30, 95% CI: 1.01–1.67). Differences in HDL-C, LDL-C, TG, and total cholesterol were observed but were not statistically significant.
Conclusion
Long working hours are modestly associated with an increased risk of dyslipidemia. These findings provide evidence for developing workplace-based dyslipidemia prevention programs.
期刊介绍:
Safety and Health at Work (SH@W) is an international, peer-reviewed, interdisciplinary journal published quarterly in English beginning in 2010. The journal is aimed at providing grounds for the exchange of ideas and data developed through research experience in the broad field of occupational health and safety. Articles may deal with scientific research to improve workers'' health and safety by eliminating occupational accidents and diseases, pursuing a better working life, and creating a safe and comfortable working environment. The journal focuses primarily on original articles across the whole scope of occupational health and safety, but also welcomes up-to-date review papers and short communications and commentaries on urgent issues and case studies on unique epidemiological survey, methods of accident investigation, and analysis. High priority will be given to articles on occupational epidemiology, medicine, hygiene, toxicology, nursing and health services, work safety, ergonomics, work organization, engineering of safety (mechanical, electrical, chemical, and construction), safety management and policy, and studies related to economic evaluation and its social policy and organizational aspects. Its abbreviated title is Saf Health Work.