Background  Retirement is a major life transition that can alter patterns of movement behaviors (physical activity, sedentary behavior and sleep). While some studies indicate an increase in physical activity post-retirement, others report a rise in sedentary behavior. However, evidence is lacking on how individuals re-allocate time among movement behaviors, particularly using analytical approaches that account for the co-dependence of 24-hour time-use data. Furthermore, little is known about how pre-retirement occupational physical activity (OPA) levels influence physical activity after retirement. This study examined changes in the relative time spent in sleep, sedentary behavior (SB), light physical activity (LPA), and moderate-vigorous physical activity (MVPA) over retirement, and how these changes vary by pre-retirement OPA levels.

Methods  Data were drawn from the Swedish Retirement Study, which followed 112 participants (47 men, 65 women; age: 60–72) at three timepoints during the retirement transition. Movement behavior and sleep data were collected over a week-long period using thigh-worn accelerometers and wrist-worn actigraphs. Compositional data analysis (CoDA) was employed to account for the co-dependent nature of 24-hour time-use data. Multivariable linear mixed models, adjusted for sociodemographic and health covariates, were used to evaluate the associations between retirement, OPA tertiles, and movement behaviors.

Results  In the overall sample, changes in movement behaviors mainly involved sleep. However, substantial variation was observed across OPA tertile groups. The sleep-to-wake time ratio increased in the high OPA group and, to a lesser extent, in the medium OPA group. Regarding physically active and sedentary time, a convergence between the high and low OPA groups was observed, as pre-retirement differences diminished. Specifically, the ratio of physically active time to SB decreased in the high OPA group and increased in the low OPA group.

Conclusions  The findings indicate that pre-retirement OPA is a significant factor in understanding changes in movement behaviors during the retirement transition. The reduction in post-retirement physical activity among high-OPA workers may represent a healthier rebalancing rather than a decline, which aligns with the “physical activity paradox” and the “Sweet-Spot Hypothesis”. This evidence highlights the need for tailored interventions for retirees, particularly those from physically demanding occupations.

Objectives: People in Sweden have internationally good health, work environment and quality of life, a picture that has lately been questioned because of the sharp increase in stress-related diagnoses, especially among young women. This study aims to better understand how stress and psychosocial work stressors vary across age and birth cohorts using data collected between 2008 and 2018. Methods: Using hierarchical age-period-cohort-growth curve models and data from the Swedish Longitudinal Occupational Survey of Health, we estimated the age trajectories of job demands, job control, perceived long-lasting stress, sustained emotional stress and self-rated health by birth cohort. Separate analyses by sex and occupational status were also conducted. Results: Job demands, perceived long-lasting stress and sustained emotional stress decreased with age, while self-rated health deteriorated. Statistically significant cohort and age × cohort interactions suggest that more recent birth cohorts have both a) higher job demands, lower job control, more sustained emotional stress and worse self-rated health, and b) a less favourable development with age for all outcomes. However, these cohort differences are primarily driven by younger cohorts, and they are less pronounced or inconsistent among older cohorts. Occupational status and gender seem to modify some of these developments. Conclusions: This study provides some support for inter-cohort changes in the work environment and health, predominantly among younger cohorts. More recent cohorts generally report poorer health and work environment along with less favourable development with age. Nevertheless, these patterns are not consistent across all age group comparisons and robust cohort comparisons are primarily possible among adjacent cohorts. It is, however, unlikely that these changes can be attributed solely to a general deterioration in working life affecting all workers equally, as the phenomenon appears largely confined to younger workers. Future studies should explore how the combined demands from several spheres of life may better explain these age and cohort differences.

Anxiety symptoms may be affected by environmental factors. Changes in weather patterns have been linked to various mental health outcomes, but research focusing on wintertime and anxiety is still sparse. Thus, we investigate longitudinal associations between solar radiation, precipitation, and snow days during winter-time and self-reported anxiety symptoms in the following spring. We used data from 14,237 participants of the Swedish Longitudinal Survey of Health who responded to surveys in spring 2016 and 2018. Symptoms of anxiety was assessed using SCL-ANX4, a subscale of the Symptom Checklist-25. Data on the daily solar radiation and precipitation was averaged over November to January and linked to the health data and residence at municipal level for each participant. For snow days, sum of days with snow over the 3-month period was used. Within-individual design using conditional logistic regression was used. Models were adjusted for age, region, and the remaining meteorological variables. Although odds ratios for anxiety in association with 3-month average solar radiation (OR 0.90, 95% CI 0.65–1.24) and precipitation (OR 0.91, 95% CI 0.79–1.05) were on the protective side, these associations were not statistically significant. We neither observed associations between snow days and anxiety symptoms, nor any significant effect modification by age, sex, civil status, job strain, occupational position, region, type of questionnaire, alcohol use, or physical activity (p-values for interactions > 0.05). Our findings do not demonstrate associations between wintertime weather conditions and symptoms of anxiety and call for further research from different geographical areas and populations.

We aimed to identify short and long-term trajectories of self-rated health (SRH) and physical working capacity during the retirement transition, and investigate whether work-related factors and social class predict belonging to these trajectories. We used the representative, biennial Swedish Longitudinal Occupational Survey of Health (SLOSH) 2006–2018. We applied group-based trajectory modeling with B-spline smoothers to model trajectories of SRH (n = 2,183) and physical working capacity (n = 2,152) during the retirement transition. Multinomial logistic regression analyses were conducted to investigate trajectory belonging by work-related factors and social class. There was a small “honeymoon effect” in SRH for the total sample. We found four trajectories of SRH and five of physical working capacity. The large majority sustained excellent or good SRH and physical working capacity throughout the study period. Almost 6% had Fairly poor SRH and physical working capacity starting from years before retirement, which remained throughout the study period. High job demands, low job control, adverse physical working conditions, and being in manual occupation increased the likelihood of belonging to the trajectory groups Deteriorating or Fairly poor when compared with the Excellent trajectory group for both SRH and physical working capacity. Our findings suggest that for most people health status is already established some years’ preretirement and maintained for years after retirement, except a short improvement in SRH in accordance with a honeymoon effect. In order to improve health and employability, interventions focusing on working environment should be aimed at younger and midlife employees as well as older workers.

Many European countries have increased retirement ages to address the challenge of population ageing. However, job strain which is the combination of high job demands and low job control may be an obstacle to extending the working lives of older workers. Job strain is associated with poor health and early work exit among older workers, but less is known about whether job strain impacts working life expectancy (WLE)—an increasingly employed summary measure capturing the length of working lives. This study aims to fill this gap in the literature. The sample included n = 13 225 individuals aged 50 years or older at baseline providing 53 004 persons-observations from the Swedish Longitudinal Occupational Survey of Health in 2008 through 2020. We used continuous time multi-state Markov models to assess the average number of years people may be expected to work beyond age 50 years by job strain, and stratified by sex, occupational class, and level of education. Job strain was associated with a significantly shorter WLE (by about 6 months to a year) among those who experienced job strain compared to those who did not experience job strain. Our findings suggest that job strain may play a role in shortening the working lives of older people. The findings further suggest that if older workers are to remain in the labor market for longer periods, this may require improvements of psychosocial working conditions.

Background: Prior research on health and work-related consequences of workforce restructuring have shown mixed findings. This study seeks to examine if organizational upsizing and downsizing is prospectively associated with sickness absence due to common mental disorders (SA-CMD) and/or with exposure to workplace offensive behaviors (i.e. workplace bullying and workplace violence/threats of violence), and assess if workplace offensive behaviors mediate any association between organizational upsizing/downsizing and SA-CMD.

Methods: This study used a prospective design, combining self-reported survey data from the Swedish Longitudinal Occupational Survey of Health and national register data covering the period 2010–2018 on 10 358 employed individuals. Logistic regression with generalized estimating equations was used to examine the associations between organizational upsizing/downsizing, offensive behaviors, and sickness absence due to common mental disorders. To examine the role of offensive behaviors in the association between exposure to upsizing/downsizing and sickness absence due to common mental disorders, mediation analysis was performed.

Results: We found that upsizing, but not downsizing, was significantly associated with a higher risk of workplace violence/threats of violence (ORadj: 1.2, 95% CI 1.0-1.3). However, neither upsizing nor downsizing was significantly associated with workplace bullying or with subsequent SA-CMD and the mediation analysis indicated no mediation.

Conclusions: Although this study did not find a link between organizational upsizing/downsizing and later sickness absence due to SA-CMD, it suggests that upsizing may be associated with certain types of workplace offensive behaviors. Further research is needed to explore the mechanisms associated with these dynamics.

Background: Regular physical activity is recommended for all aged 5 years and older, but the health benefits gained might differ across population subgroups. The aim of this study was to examine these benefits in terms of years lived free from major non-communicable diseases in subgroups with varying levels of risk factors. Methods: Our analysis was based on a multicohort study of initially healthy European adults from the IPD-Work Consortium and initially healthy participants from the UK Biobank study. Self-reported leisure-time physical activity levels at baseline (1986–2010) were categorised as low (no or very little), intermediate (between low and recommended levels), and WHO-recommended (≥2·5 h of moderate or ≥1·25 h of vigorous physical activity per week). We divided the study population into 36 overlapping subgroups based on socioeconomic factors, lifestyle, and mental health at baseline, and assessed disease-free years between ages 40 years and 75 years for both the overall population and subgroups, accounting for coronary heart disease, stroke, type 2 diabetes, cancer, asthma, and chronic obstructive pulmonary disease. Findings: 14 IPD-Work studies were assessed and six studies were excluded due to missing outcome data and unavailable data for pooling, resulting in the inclusion of eight studies with 124 909 participants. After the exclusion of 7685 participants due to prevalent diseases and 9265 due to missing data, the sample consisted of 107 959 initially healthy European adults (63 567 [58·9%] females and 44 392 [41·1%] males) from the IPD-Work consortium. For the UK Biobank sample, 9 238 453 million individuals were invited, 8 736 094 (94·6%) were non-respondents, and 502 359 participated in the baseline examination. After the exclusion of 73 460 participants, 428 899 participants had data on at least one measure of physical activity. 236 258 (55·1%) were female and 192 641 (44·9%) were male. During 1·6 million person-years at risk, 21 231 IPD-Work participants developed a non-communicable disease, while 101 319 UK Biobank participants developed a non-communicable disease over 4·8 million person-years at risk. Compared with individuals with low physical activity, those meeting the recommended physical activity levels during leisure-time gained an additional 1·1 (95% CI 1·0–1·2) to 2·0 (1·7–2·3) disease-free years, depending on sex and study. In males from the IPD-Work and UK Biobank cohorts, greater gains in disease-free years were observed in current smokers (2·4 [95% CI 2·1–2·8]) versus never smokers (0·7 [0·5–0·9]); those with low education (1·4 [1·1–1·7]) versus high education (0·8 [0·7–1·0]); low socioeconomic status (1·7 [1·5–2·0]) versus high socioeconomic status (0·9 [0·7–1·1]); and those with (1·6 [1·3–1·9]) versus without depressive symptoms (1·0 [0·9–1·1]; p value range <0·0001–0·0008). Similar differences were seen in women for smoking (2·3 [95% CI 1·9–2·7] vs 0·9 [0·7–1·1]), socioeconomic status (1·7 [1·4–2·0] vs 0·8 [0·5–1·0]), depressive symptoms (1·4 [1·1–1·7] vs 1·0 [0·9–1·1]), and for heavy drinkers compared with moderate drinkers (1·4 [1·1–1·6] vs 0·9 [0·7–1·1]; p value range <0·0001–0·010). No differences in physical activity-related health gains were observed between risk groups and non-risk groups by BMI, history of depression, and, in men, alcohol use (p value range 0·11–0·86). Interpretation: In addition to confirming the association between leisure-time physical activity and increased disease-free years across population subgroups, our findings show that these health benefits are often more pronounced among individuals with pre-existing health risks or disadvantaged backgrounds than in those with more favourable risk factor profiles. This suggests that enhancing population-wide physical activity initiatives could help reduce health disparities, while incorporating physical activity into targeted strategies addressing social disadvantage, unhealthy lifestyles, and depression might enhance their effectiveness. 

Background  Numerous studies on work from home during the Covid-19 pandemic link it to reduced physical activity, increased alcohol use, and weight gain, mainly under stringent pandemic restrictions. We investigated whether changes in work-from-home levels from pre to late pandemic are associated with health behaviours during the late pandemic, controlling for family and work factors.

Methods  Using 8195 participants from the 2022 wave of the Swedish Longitudinal Survey of Health, we used logistic regression to analyze the associations between changes in the amount of remote work from pre-pandemic to late pandemic, and physical inactivity, problem drinking, and obesity. Models were first adjusted for age and sex; then for civil status, having children under the age of 12 years at home, and occupation; and finally for job stress, work-family conflict, and family-work conflict.

Results  Individuals who decreased work from home had 17% higher odds of being physically inactive (fully adjusted model OR: 1.17, 95% CI: 1.00–1.37) compared to those who did not change their amount of work from home. Changes in work from home were not statistically significantly associated with problem drinking or obesity. However, there was a tendency for those who decreased work from home to have higher odds of obesity (OR: 1.08, 95% CI: 0.94–1.24), although the association did not reach statistical significance.

Conclusions  These findings suggest, although the associations were weak, that work from home could offer opportunities for individuals to be more conscious of their health and to engage in healthier behaviours.

Background  How the environment in which physical activity takes place influences brain health remains insufficiently studied. We aimed to investigate the association between outdoor physical activity and dementia in older adults, and to examine whether residential green space (GS) modifies this association.

Methods  This prospective longitudinal study used UK Biobank data from 187,724 adults aged 60—73 years at baseline (2006—2010) and 36,854 with brain Magnetic Resonance Imaging (2014—2021). Outdoor activity (via Metabolic Equivalent of Task) and GS (within 300 m of homes) were assessed, with dementia incidence tracked through electronic records until December 2022. Neuroimaging markers included hippocampal and total gray-matter volumes, and white-matter hyperintensity volume. Cox proportional hazards and linear regression models were applied.

Results  During a mean follow-up of 13.01 years, 7218 participants (47.1% female) developed dementia. After adjusting for covariates, higher outdoor activity is associated with a lower risk of all-cause dementia (HR_{top vs bottom quartile} = 0.84, 95% Confidence Interval [CI] 0.78—0.90). This association is most pronounced for vascular dementia (HR:0.72, 95%CI 0.63—0.83) and is stronger among those living in areas with high, compared to low, residential GS (0.73, 95%CI 0.63—0.85 vs 0.86, 95%CI 0.79—0.93, p_interaction = 0.04). Higher outdoor activity is also associated with higher hippocampal and total gray-matter volumes and fewer white-matter hyperintensities. A combined effect of outdoor activity and GS on hippocampal volume is observed.

Conclusions  Outdoor activity is linked to lower dementia risk, particularly in those living in more accessible GS. These findings underscore the importance of urban planning that prioritizes accessible GS to promote brain health in the aging population.

Long-lasting, excessive stress exposure can have serious health consequences and consequently, to identify potentially harmful consequences, it is important to develop self-report measures of long-lasting stress in everyday life. The complexity of long-lasting excessive stress also raises questions about the efficacy of widely used single-item measures to capture such harmful stress. This study examines the psychometric quality and validity of a brief eight-item scale, measuring long-lasting stress symptoms. Using data from a nationally representative sample, comprising 15,046 working individuals from the 2014 Swedish Longitudinal Occupational Survey of Health (SLOSH), the findings suggest retaining six of the original eight items, loading on two latent factors: ‘long-lasting perceived stress’ and ‘long-lasting emotional stress’. The high correlation between the two factors suggests the potential for a unified measure to address specific research objectives. The subscales demonstrate concurrent validity with well-established stress-related measures. A single-item measure of perceived stress (‘I have days when I feel stressed all the time’) also correlated with the stress-related measures, although the correlation coefficients were slightly weaker.