ArticleBMC public health2022
The relationship between occupational physical activity and dyslipidaemia in farmers with varying working modes in southwest China: the China multi-ethnic cohort study.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 7 citations in OpenAlex.
- Higher Life's Essential 8 score is associated with lower risk of kidney stones in Chinese adults: a cross-sectional study.BMC public health · 2025Article
- Physical Activity, Gut Microbiota, and the Risk of Dyslipidemia in a Community-Based Cohort Study.Journal of the American Heart Association · 2025Article
- A Cohort of Sociodemographic and Health-Related Risk Factors for All-Cause Mortality in Middle-Aged and Older Adults in China.Healthcare (Basel, Switzerland) · 2025Article
- Longitudinal associations between dietary diversity and serum lipid markers in Japanese workers.European journal of clinical nutrition · 2025Article
- Social Determinants of Health: Analysis of the Effect of Socio-environmental Factors to Diseases, Injury-related DALYs, and Deaths based on WHO, ILO, and WB Data.Acta medica Philippina · 2025Article
- Associations between dietary diversity and dyslipidemia among Japanese workers: cross-sectional study and longitudinal study findings.European journal of nutrition · 2024Article
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11 authors at 1 institution in 1 country.
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Abstract
backgroundFarmers are the integral members of rural communities. In the present study, we determined the association between occupational physical activity (OPA) of farmers and dyslipidaemia.
methodsWe included 7649 farmers from The China Multi-Ethnic Cohort (CMEC) Study. The working modes of all farmers were divided into four types according to their self-reported seasonal changes in farming work and/or other job changes (1: no change; 2: changing job; 3: seasonal changes; and 4: seasonal and job changes). OPA was self-reported, and the OPA levels in the four groups were classified as Q1, Q2-Q3, and Q4 by quantile. Dyslipidaemia was defined as the presence of abnormalities in lipid indicators. Binary logistic regression was used to estimate the association between OPA and dyslipidaemia.
resultsCompared with those in the no change group, the participants in other three groups were younger with lower level of education, annual income, and leisure-time physical activity (LTPA). Active OPA could reduce the risk of dyslipidaemia in the no change [men: odds ratios (OR) = 0.21, 95% confidence intervals (CI): 0.07-0.64; women: OR = 0.43, 95% CI: 0.20-0.93] and seasonal change (men: OR = 0.46, 95% CI: 0.27-0.77; women: OR = 0.59, 95% CI: 0.41-0.86) groups. However, in the seasonal and job change group (men: OR = 3.23, 95% CI: 1.06-9.80; women: OR = 3.24, 95% CI: 1.42-7.41), active OPA increased the risk of dyslipidaemia.
conclusionsDifferent OPA levels might lead to differences in association with blood lipid levels. Thus, OPA guidelines must be developed for farmers, especially for those who experience seasonal changes in farming work and job changes.
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