Trajectories of working hours in later careers and their association with social and health-related factors: a follow-up study

Suur-Uski, Johanna; Pietiläinen, Olli; Rahkonen, Ossi; Lallukka, Tea

doi:10.1093/eurpub/ckab179

Cited by 2 publications

(2 citation statements)

References 31 publications

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“…Leisure time physical activity was estimated using the metabolic equivalent (MET) index [ 30 ] and divided into three groups: low (< 14 MET-hours/week), intermediate (≥ 14 MET-hours/week with only moderate activity) and high (≥ 14 MET-hours/week including vigorous activity). For each participant, the covariates were derived from the questionnaires using the mode [ 31 ].…”

Section: Methodsmentioning

confidence: 99%

Long-term sickness absence trajectories among ageing municipal employees – the contribution of social and health-related factors

Suur-Uski¹,

Pietiläinen²,

Salonsalmi³

et al. 2023

BMC Public Health

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Background The ageing work force is heterogeneous, following distinct development in work ability. This study aims to identify trajectories of long-term sickness absence (SA) in later careers and to examine potentially modifiable factors associated with the development of SA. Methods Data comprised of municipal employees of the city of Helsinki aged 50–60 years during 2004–2018 (N = 4729, 80% women). The developmental trajectories of long-term (> 10 working days) SA were examined with Group-based trajectory modelling (GBTM) using SA records of the Social Insurance Institution of Finland during 2004–2018. All-cause and diagnosis-specific (mental disorder– and musculoskeletal disease–related) SA days were analysed. The association of social and health-related factors with trajectory membership was examined using multinomial logistic regression (odds ratios and 95% confidence intervals). Results A model with three trajectories was selected for both all-cause and diagnosis-specific SA. Regarding all-cause long-term SA trajectories, 42% had no long-term SA, 46% had low levels of SA, and 12% had a high rate of SA during follow-up. Lower occupational class, reporting smoking, overweight or obesity, moderate or low leisure-time physical activity, and sleep problems were associated with a higher likelihood of belonging to the trajectory with a high rate of SA in both all-cause and diagnosis-specific models. Conclusions Most ageing employees have no or little long-term SA. Modifiable factors associated with trajectories with more SA could be targeted when designing and timing interventions in occupational healthcare.

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Section: Methodsmentioning

confidence: 99%

Long-term sickness absence trajectories among ageing municipal employees – the contribution of social and health-related factors

Suur-Uski¹,

Pietiläinen²,

Salonsalmi³

et al. 2023

BMC Public Health

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“…The likelihood of this trajectory was higher in women and in higher socioeconomic status ( 20 ). One previous study identified trajectories of working hours and found that female sex, age, lifestyle risk factors, and health problems were associated with short and varying working hours ( 21 ). The study did not account for simultaneous changes in self-rated health, and used subjective evaluations on working hours.…”

Section: Introductionmentioning

confidence: 99%

Concurrent trajectories of self-rated health and working hour patterns in health care shift workers: A longitudinal analysis with 8-year follow-up

Ervasti

Peutere

Virtanen

et al. 2022

Front. Public Health

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BackgroundThe association between health and working hours is hypothesized to be reciprocal, but few longitudinal studies have examined changes in both health and working hour patterns over time. We examined combined trajectories of self-related health and two working hour patterns (working <35 h/week and working night shifts) and the extent to which these trajectories were predicted by employees' lifestyle and mental health.MethodsParticipants of this cohort study with a 8-year follow-up were 5,947 health care shift workers. We linked self-reports of health from three repeated surveys with objective pay-roll based data on working hours. Using group-based multi-trajectory analysis we identified concurrent trajectories for self-rated health and working hour patterns. We examined their associations with baseline lifestyle-related factors (smoking, at-risk alcohol use, obesity, and physical inactivity) and mental health (sleep problems and psychological distress) using multinomial regression analysis.ResultsThree combined trajectories of self-rated health and working <35 h/week and four combined trajectories of self-rated health and night work were identified. Unhealthy lifestyle and poor mental health were associated with trajectories of moderate and declining health. Sleep problems were linked with working <35 h/week. Younger age and good mental health were associated with a combined trajectory of good health and continued night shift work.ConclusionTrajectories of suboptimal and declining health are associated with trajectories of reducing working hours and leaving night work, and are more common in employees with unhealthy lifestyle, sleep problems, and psychological distress.

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Trajectories of working hours in later careers and their association with social and health-related factors: a follow-up study

Cited by 2 publications

References 31 publications

Long-term sickness absence trajectories among ageing municipal employees – the contribution of social and health-related factors

Long-term sickness absence trajectories among ageing municipal employees – the contribution of social and health-related factors

Concurrent trajectories of self-rated health and working hour patterns in health care shift workers: A longitudinal analysis with 8-year follow-up

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