Are long working hours associated with weight‐related outcomes? A meta‐analysis of observational studies

Zhu, Yi; Liu, Jianxin; Jiang, Heng; Brown, Tracey; Tian, Qingfeng; Yang, Yudi; Wang, Chao; Xu, Hongbin; Liu, Junan; Gan, Yong; Lu, Zuxun

doi:10.1111/obr.12977

Cited by 12 publications

(16 citation statements)

References 62 publications

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“…Among the eligible articles for inclusion in the selection process, 72 reviews with meta-analysis were included in our meta-review ( 14 – 85 ) ( figure 1 ). Supplementary table S3 presents the 27 excluded articles after fulltext reading and the reason for exclusion.…”

Section: Resultsmentioning

confidence: 99%

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Psychosocial work exposures and health outcomes: a meta-review of 72 literature reviews with meta-analysis

Niedhammer¹,

Bertrais²,

Witt³

2021

Scand J Work Environ Health

146

106

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Psychosocial work exposures and health outcomes: a meta-review of 72 literature reviews with meta-analysis by Niedhammer I, Bertrais S, Witt K This meta-review aimed to present all available pooled estimates for the associations between psychosocial work exposures and health outcomes. Given its very broad objective, it is probably the most comprehensive meta-review performed so far on this topic. Based on a rigorous methodology, this meta-review underlines convincing associations as targets for prevention, and also knowledge gaps as avenues for future research.

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Section: Resultsmentioning

confidence: 99%

“…Figure 5 shows the results for obesity. There were 2 literature reviews ( 42 , 85 ) and 3 IPD-Work consortium studies without literature review ( 58 , 59 , 77 ). Significant associations were observed between job strain and obesity using cross-sectional data but not using prospective data.…”

Section: Resultsmentioning

confidence: 99%

Psychosocial work exposures and health outcomes: a meta-review of 72 literature reviews with meta-analysis

Niedhammer¹,

Bertrais²,

Witt³

2021

Scand J Work Environ Health

146

106

View full text Add to dashboard Cite

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“…We used the random effects model to merge the data. The funnel chart was examined using Egger's and Begg's tests [23]. It indicated that there was a publication bias of p < 0.05.…”

Section: Discussionmentioning

confidence: 99%

The role of 3D printed models in the teaching of human anatomy: a systematic review and meta-analysis

et al. 2020

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Background Three-dimensional (3D) printing is an emerging technology widely used in medical education. However, its role in the teaching of human anatomy needs further evaluation. Methods PubMed, Embase, EBSCO, SpringerLink, and Nature databases were searched systematically for studies published from January 2011 to April 2020 in the English language. GRADEprofiler software was used to evaluate the quality of literature. In this study, a meta-analysis of continuous and binary data was conducted. Both descriptive and statistical analyses were used. Results Comparing the post-training tests in neuroanatomy, cardiac anatomy, and abdominal anatomy, the standardized mean difference (SMD) of the 3D group and the conventional group were 1.27, 0.37, and 2.01, respectively (p < 0.05). For 3D vs. cadaver and 3D vs. 2D, the SMD were 0.69 and 1.05, respectively (p < 0.05). For answering time, the SMD of the 3D group vs. conventional group was – 0.61 (P < 0.05). For 3D print usefulness, RR = 2.29(P < 0.05). Five of the six studies showed that satisfaction of the 3D group was higher than that of the conventional group. Two studies showed that accuracy of answering questions in the 3D group was higher than that in the conventional group. Conclusions Compared with students in the conventional group, those in the 3D printing group had advantages in accuracy and answering time. In the test of anatomical knowledge, the test results of students in the 3D group were not inferior (higher or equal) to those in the conventional group. The post-training test results of the 3D group were higher than those in the cadaver or 2D group. More students in the 3D printing group were satisfied with their learning compared with the conventional group. The results could be influenced by the quality of the randomized controlled trials. In a framework of ethical rigor, the application of the 3D printing model in human anatomy teaching is expected to grow further.

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“…Besides the well-established risk for cardiovascular disease in individuals who work long hours, risks for various work-related metabolic diseases, such as obesity, hypertension, type 2 diabetes mellitus, and metabolic syndrome, have also been reported. Recently, Zhu et al reported that long working hours are associated with obesity-related harmful outcomes in their meta-analysis (17). Although these metabolic diseases are closely related to NAFLD, no previous studies have addressed the association between long working hours and NAFLD.…”

Section: Discussionmentioning

confidence: 99%

Long Working Hours and Risk of Nonalcoholic Fatty Liver Disease: Korea National Health and Nutrition Examination Survey VII

et al. 2021

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BackgroundThe global incidence of NAFLD is rising sharply due to various risk factors. As previous studies reported adverse health impact of long working hours on metabolic diseases, such as diabetes mellitus and obesity, it is plausible that NAFLD is also associated with working excessive hours. However, data regarding this issue is limited.MethodsIn this cross-sectional study based on Korea National Health and Nutrition Examination Survey VII, 5,661 working adults without previous liver disease or heavy alcohol drinking habits were included. The subjects were categorized into three groups according to working hours: 36–42, 43–52, and 53–83 hours/week. NAFLD was defined using the hepatic steatosis index (HSI), which is a validated prediction model for determining NAFLD.ResultsThe prevalence of NAFLD (HSI ≥36) increased with longer working hours: 23.0%, 25.6%, and 30.6% in the 36–42, 43–52, and 53–83 hours/week group, respectively (p <0.001). Subjects who worked 53–83 hours/week had higher odds for NAFLD than those who worked the standard 36–42 hours/week (OR 1.23, 95% CI 1.02–1.50, p = 0.033) after adjusting for age, sex, body mass index, smoking, alcohol, exercise, diabetes mellitus, hypertension, serum triglyceride, and total cholesterol. This association was consistent across subgroups according to working schedule (daytime vs. shift workers) or occupation type (office vs. manual workers). In particular, the relationship between long working hours and NAFLD was pronounced in workers aged <60 years and in female workers.ConclusionsLong working hours was significantly associated with NAFLD. Further prospective studies are required to validate this finding with causal relationship.

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Are long working hours associated with weight‐related outcomes? A meta‐analysis of observational studies

Cited by 12 publications

References 62 publications

Psychosocial work exposures and health outcomes: a meta-review of 72 literature reviews with meta-analysis

Psychosocial work exposures and health outcomes: a meta-review of 72 literature reviews with meta-analysis

The role of 3D printed models in the teaching of human anatomy: a systematic review and meta-analysis

Long Working Hours and Risk of Nonalcoholic Fatty Liver Disease: Korea National Health and Nutrition Examination Survey VII

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