ArticleSSM - population health2023
Working longer hours and body weight: An Australian study using household panel data (with measures of paid and unpaid time) to provide gender-specific estimates.
Article in SSM - population health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Causal Relationship Between Physical Activity and Body Weight: A Maximum Likelihood Treatment Effect Model Approach Using Australian Longitudinal Data.International journal of behavioral medicine · 2026Article
- Impact of work hours on sleep quality: a non-linear and gendered disparity.Archives of women's mental health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Time is a resource for health, and when time is constrained, people have less opportunity to maintain good health. This study focuses on the relationship between paid work hours (with a focus on long hours) and body weight for Australian men and women. Time is conceptualised as a 24-hour system, including time in paid work, time in unpaid work, and discretionary time (available for health promoting activities). We propose that to accurately estimate the relationship between long paid work hours and body weight, analyses need to take account of unpaid work hours, and that this is particularly important for women. Analyses utilised 16 waves of data from the Household, Income and Labour Dynamics in Australia (HILDA) panel study, with data on hours in paid and unpaid work and BMI at all waves (n = 113,084 observations, 54,664 from women and 58,424 from men). We used Mixed Effects models with a Two Stage Residual Inclusion (2SRI) approach to account for time unobserved heterogeneity and the reciprocity between time uses (paid and unpaid) and body weight. The results showed that for every 10 hours worked above the gender-specific average, women weighed 762 grms more and men weighed 1.34 kgs more. When the analyses were restricted to sedentary jobs this increased to 938 grms for women and 1.68 kgs for men. We contribute new evidence highlighting the importance of including unpaid work hours in research that aims to understand working time and health.
Identifiers
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Registered trials
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