ArticleBMJ open2021
Influence of occupation type on the association between sleep duration and impaired fasting glucose: results from a Chinese population-based study.
Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Nonlinear association between weekend sleep recovery (WSR) and insulin resistance: benefits in males and short weekday sleepers.Endocrine connections · 2025Article
- Unraveling the associations and causalities between glucose metabolism and multiple sleep traits.Frontiers in endocrinology · 2023Article
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Authors and funding
4 authors.
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Abstract
objectivesSystematic evaluation of the influence of occupation type on the association between sleep-glucose metabolism
designA cross-sectional study.
settingThe Nantong Metabolic Syndrome Study is a Chinese population-based study.
participants20 502 participants aged 18-74 years old.
interventionNo intervention. PRIMARY AND SECONDARY OUTCOME MEASURES: Impaired fasting glucose (IFG).
resultsA total of 1503 participants (7.33%) with a slightly longer sleep duration had IFG. After being stratified according to occupation, a sleep duration of ≥10 hours daily corresponded to a 1.321-fold risk of IFG (95% CI 1.071 to 1.628, p=0.0092) among moderate and heavy physical workers compared with those with a daily sleep duration of 7-9 hours. There was no significant relationship between sleep and IFG among other types of workers. Moreover, we discovered a gender difference in the influence of occupation on the sleep-IFG. A positive association among moderate and heavy physical men and a negative association among light or sedentary men were established, but not in unemployed men. However, a positive association was evident only in unemployed women; there was no significant association among other occupations.
conclusionThis study highlights the role of occupation in the relationship of sleep-glucose metabolism. A gender difference was found to have been influenced by occupational types on the sleep-metabolic association.
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