Job Strain in Relation to Body Mass Index: Pooled Analysis of 160 000 Adults from 13 Cohort Studies
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Background: Evidence of an association between job strain and obesity is inconsistent, mostly limited to small-scale studies, and does not distinguish between categories of underweight or obesity subclasses.
Objectives: To examine the association between job strain and body mass index (BMI) in a large adult population.
Methods: We performed a pooled cross-sectional analysis based on individual-level data from 13 European studies resulting in a total of 161 746 participants (49% men, mean age, 43.7 years). Longitudinal analysis with a median follow-up of 4 years was possible for four cohort studies (n = 42 222).
Results: A total of 86 429 participants were of normal weight (BMI 18.5-24.9 kg m(-2) ), 2149 were underweight (BMI < 18.5 kg m(-2) ), 56 572 overweight (BMI 25.0-29.9 kg m(-2) ) and 13 523 class I (BMI 30-34.9 kg m(-2) ) and 3073 classes II/III (BMI ≥ 35 kg m(-2) ) obese. In addition, 27 010 (17%) participants reported job strain. In cross-sectional analyses, we found increased odds of job strain amongst underweight [odds ratio 1.12, 95% confidence interval (CI) 1.00-1.25], obese class I (odds ratio 1.07, 95% CI 1.02-1.12) and obese classes II/III participants (odds ratio 1.14, 95% CI 1.01-1.28) as compared with participants of normal weight. In longitudinal analysis, both weight gain and weight loss were related to the onset of job strain during follow-up.
Conclusions: In an analysis of European data, we found both weight gain and weight loss to be associated with the onset of job strain, consistent with a 'U'-shaped cross-sectional association between job strain and BMI. These associations were relatively modest; therefore, it is unlikely that intervention to reduce job strain would be effective in combating obesity at a population level.
Rinaudo L, Cuttone S, Messina C, Magni V, Capra D, Sconfienza L Diagnostics (Basel). 2024; 14(10).
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Sanchez Rico M, Plessz M, Airagnes G, Ribet C, Hoertel N, Goldberg M BMJ Open. 2023; 13(7):e074835.
PMID: 37524560 PMC: 10391792. DOI: 10.1136/bmjopen-2023-074835.
Sanchez Rico M, Plessz M, Airagnes G, Ribet C, Hoertel N, Goldberg M PLoS One. 2023; 18(7):e0288747.
PMID: 37459323 PMC: 10351739. DOI: 10.1371/journal.pone.0288747.
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