| 1. |
- Virtanen, Marianna, et al.
(författare)
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Long working hours and change in body weight : analysis of individual-participant data from 19 cohort studies
- 2020
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Ingår i: International Journal of Obesity. - : Nature Publishing Group. - 0307-0565 .- 1476-5497. ; 44:6, s. 1368-1375
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Tidskriftsartikel (refereegranskat)abstract
- Objective: To examine the relation between long working hours and change in body mass index (BMI). Methods: We performed random effects meta-analyses using individual-participant data from 19 cohort studies from Europe, US and Australia (n = 122,078), with a mean of 4.4-year follow-up. Working hours were measured at baseline and categorised as part time (<35 h/week), standard weekly hours (35–40 h, reference), 41–48 h, 49–54 h and ≥55 h/week (long working hours). There were four outcomes at follow-up: (1) overweight/obesity (BMI ≥ 25 kg/m2) or (2) overweight (BMI 25–29.9 kg/m2) among participants without overweight/obesity at baseline; (3) obesity (BMI ≥ 30 kg/m2) among participants with overweight at baseline, and (4) weight loss among participants with obesity at baseline. Results: Of the 61,143 participants without overweight/obesity at baseline, 20.2% had overweight/obesity at follow-up. Compared with standard weekly working hours, the age-, sex- and socioeconomic status-adjusted relative risk (RR) of overweight/obesity was 0.95 (95% CI 0.90–1.00) for part-time work, 1.07 (1.02–1.12) for 41–48 weekly working hours, 1.09 (1.03–1.16) for 49–54 h and 1.17 (1.08–1.27) for long working hours (P for trend <0.0001). The findings were similar after multivariable adjustment and in subgroup analyses. Long working hours were associated with an excess risk of shift from normal weight to overweight rather than from overweight to obesity. Long working hours were not associated with weight loss among participants with obesity. Conclusions: This analysis of large individual-participant data suggests a small excess risk of overweight among the healthy-weight people who work long hours.
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| 2. |
- Halonen, Jaana I., et al.
(författare)
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Commuting time to work and behaviour-related health : a fixed-effect analysis
- 2020
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Ingår i: Occupational and Environmental Medicine. - : BMJ. - 1351-0711 .- 1470-7926. ; 77:2, s. 77-83
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: Long commuting times are linked to poor health outcomes, but the evidence is mainly cross-sectional. We examined longitudinal within-individual associations between commuting time and behaviour-related health.Methods: Data were from the Swedish Longitudinal Occupational Survey of Health study. We selected workers who responded to a minimum of two surveys conducted every other year between 2008 and 2018. We included all study waves with self-reported commuting time (ie, the exposure, 1–5, 6–10, 11–15 or ≥15 hours/week), body mass index (based on weight and height), physical (in)activity, smoking, alcohol use and sleep problems (ie, the outcomes) (Nindividuals=20 376, Nobservations=46 169). We used conditional logistic regression for fixed effects analyses that controls for time-varying confounders by design. Analyses were stratified by working hours: normal (30–40 hours/week) or longer than normal (>40 hours/week) and adjusted for time dependent covariates: age, marital status, occupational position, presence of children, chronic disease, depressive symptoms, job strain and shift work.Results: Those working >40 hours/week had higher odds of physical inactivity (OR 1.25, 95% CI 1.03 to 1.51) and sleep problems (OR 1.16, 95% CI 1.00 to 1.35) when they were commuting >5 hours/week than when they were commuting 1–5 hours/week. Among women working normal hours, longer commuting time associated with lower odds of problem drinking.Conclusion: Our findings suggest that lengthy commuting time increases the risk of physical inactivity and sleep problems if individuals have longer than normal weekly working hours. Effects of work arrangements that decrease commuting time should be examined in relation to health behaviours.
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| 3. |
- Pulakka, Anna, et al.
(författare)
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Physical Activity across Retirement Transition by Occupation and Mode of Commute
- 2020
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Ingår i: Medicine & Science in Sports & Exercise. - 0195-9131 .- 1530-0315. ; 52:9, s. 1900-1907
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: Retirement induces changes in the composition of daily physical activity. Our aim was to examine changes in accelerometer-measured physical activity around transition to statutory retirement among men and women by occupational category and by preretirement modes of commuting. Methods: We included 562 workers (mean [SD] age, 63.3 [1.1] yr; 85% women) from the Finnish Retirement and Aging study. The participants wore an accelerometer on their nondominant wrist for 1 wk before and 1 wk after retirement, with 1 yr between the measurements. We compared mean daily activity counts before and after retirement between manual and nonmanual occupations by gender and by preretirement commuting mode using linear models with generalized estimating equations. Results: Before retirement, women were more active than men (2550 (95% confidence interval, 2500-2590) vs 2060 (1970-2140) mean daily activity counts), with the most active group being women in manual occupations. After retirement, physical activity decreased by 3.9% among women and increased, albeit nonsignificantly, by 3.1% in men. The decrease was most pronounced among women in manual and increase among men in nonmanual occupations. After retirement, women remained more active than men (2450 (95% confidence interval 2390-2500) vs 2120 (2010-2230) counts). Active commuting, especially cycling, before retirement was associated with higher physical activity both before and after retirement, and these people also maintained their total activity lever better than did those who commuted by public transportation. Conclusions: Although women in manual occupations decreased and men in nonmanual occupations increased their activity after retirement, women were more active than men both before and after retirement. Those who engaged in active commuting before retirement maintained their activity level also after retirement.
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| 4. |
- Halonen, Jaana I., et al.
(författare)
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Psychological distress and sickness absence : Within- versus between-individual analysis
- 2020
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Ingår i: Journal of Affective Disorders. - : Elsevier BV. - 0165-0327 .- 1573-2517. ; 264, s. 333-339
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Tidskriftsartikel (refereegranskat)abstract
- Background: Uncertainty remains whether associations for psychological distress and sickness absence (SA) observed between and within individuals differ, and whether age, gender and work-related factors moderate these associations.Methods: We analyzed SA records of 41,184 participants of the Finnish Public Sector study with repeated survey data between 2000 and 2016 (119,024 observations). Psychological distress was measured by the General Health Questionnaire (GHQ-12), while data on SA days were from the employers' registers. We used a hybrid regression estimation approach adjusting for time-variant confounders-age, marital status, occupational class, body mass index, job contract type, months worked in the follow-up year, job demand, job control, and workplace social capital-and time-invariant gender (for between-individual analysis).Results: Higher levels of psychological distress were consistently associated with SA, both within- and between-individuals. The within-individual association (incidence rate ratio (IRR) 1.68, 95% CI 1.61-1.75 for SA at high distress), however, was substantially smaller than the between-individual association (IRR 2.53, 95% CI 2.39-2.69). High levels of psychological distress had slightly stronger within-individual associations with SA among older (>45 years) than younger employees, lower than higher occupational class, and among men than women. None of the assessed work unit related factors (e.g. job demand, job control) were consistent moderators.Limitations: These findings may not be generalizable to other working sectors or cultures with different SA policies or study populations that are male dominated.Conclusions: Focus on within-individual variation over time provides more accurate estimates of the contribution of mental health to subsequent sickness absence.
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