Dataset Information

Psychosocial working characteristics before retirement and depressive symptoms across the retirement transition: a longitudinal latent class analysis.

ABSTRACT: Objectives Retirement is a major life transition. However, previous evidence on its mental health effects has been inconclusive. Whether retirement is desirable or not may depend on pre-retirement work characteristics. We investigated trajectories of depressive symptoms across retirement and how a number of psychosocial working characteristics influenced these trajectories. Methods We included 1735 respondents from the Swedish Longitudinal Occupational Survey of Health (SLOSH), retiring during 2008-2016 (mean retirement age 66 years). They had completed biennial questionnaires reporting job demands, decision authority, workplace social support, efforts, rewards, procedural justice and depressive symptoms. We applied group-based trajectory modelling to model trajectories of depressive symptoms across retirement. Multinomial logistic regression analyses estimated the associations between -psychosocial working characteristics and depressive symptom trajectories. Results We identified five depression trajectories. In four of them, depressive symptoms decreased slightly around retirement. In one, the symptom level was initially high, then decreased markedly across retirement. Perceptions of job demands, job strain, workplace social support, rewards, effort-reward imbalance and procedural justice were associated with the trajectories, while perceptions of decision authority and work efforts were only partly related to the trajectories. Conclusions We observed a rather positive development of depressive symptoms across retirement in a sample of Swedish retirees. For a small group with poor psychosocial working characteristics, symptoms clearly decreased, which may indicate that a relief from poor working characteristics is associated with an improvement for some retirees. However, for other retirees poor working characteristics were associated with persistent symptoms, suggesting a long-term effect of these work stressors.

SUBMITTER: Ahlin JK

PROVIDER: S-EPMC7737805 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Psychosocial working characteristics before retirement and depressive symptoms across the retirement transition: a longitudinal latent class analysis.

Åhlin Julia K JK Peristera Paraskevi P Westerlund Hugo H Magnusson Hanson Linda L LL

Scandinavian journal of work, environment & health 20200224 5

Objectives Retirement is a major life transition. However, previous evidence on its mental health effects has been inconclusive. Whether retirement is desirable or not may depend on pre-retirement work characteristics. We investigated trajectories of depressive symptoms across retirement and how a number of psychosocial working characteristics influenced these trajectories. Methods We included 1735 respondents from the Swedish Longitudinal Occupational Survey of Health (SLOSH), retiring during 2 ...[more]

PMID: 32091111

Similar Datasets

Project description:BACKGROUND AND AIMS:Life transitions such as retirement may influence alcohol consumption, but only a few studies have described this using longitudinal data. We identified patterns and predictors of risky drinking around the time of retirement. DESIGN:A cohort study assessing trajectories and predictors of risky drinking among employees entering statutory retirement between 2000 and 2011. SETTING AND PARTICIPANTS:A total of 5805 men and women from the Finnish Public Sector study who responded to questions on alcohol consumption one to three times prior to (w-3 , w-2 , w-1 ), and one to three times after (w+1 , w+2 , w+3 ) retirement. MEASUREMENTS:We assessed trajectories of risky drinking (> 24 units per week among men, > 16 units among women, or an extreme drinking occasion during past year) from pre- to post-retirement, as well as predictors of each alcohol consumption trajectory. FINDINGS:Three trajectories were identified: sustained healthy drinking (81% of participants), temporary increase in risky drinking around retirement (12%) and slowly declining risky drinking after retirement (7%). The strongest pre-retirement predictors for belonging to the group of temporary increase in risky drinking were current smoking [odds ratio (OR) = 3.90, 95% confidence interval (CI) = 2.70-5.64], male sex (OR = 2.77, 95% CI = 2.16-3.55), depression (OR = 1.44, 95% CI = 1.05-1.99) and work-place in the metropolitan area (OR = 1.29, 95% CI = 1.00-1.66). Compared with the slowly declining risky drinking group, the temporary increase in risky drinking group was characterized by lower occupational status and education, and work-place outside the metropolitan area. CONCLUSIONS:In Finland, approximately 12% of people who reach retirement age experience a temporary increase in alcohol consumption to risky levels, while approximately 7% experience a slow decline in risky levels of alcohol consumption. Male gender, smoking, being depressed and working in a metropolitan area are associated with increased likelihood of increased alcohol consumption.

Project description:BackgroundRetirement is a major life event and factors driving depression in the retirement transition might differ in men and women. The aim was to prospectively study depressive symptoms across the retirement transition in men and women and to test associations with emotion regulation strategies (suppression and reappraisal), adjustment difficulties, and work centrality.MethodsThe sample included 527 individuals from the population-based Health, Aging and Retirement Transitions in Sweden (HEARTS) study who were working at baseline and retired during one of the following four annual measurement waves. Participants contributed with a total of 2635 observations across five measurement waves. Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale (CES-D); total score was modelled as a function of time to and from retirement. Changes over the retirement transition were analyzed with multilevel growth curve models. Gender differences in associations with emotion regulation, adjustment difficulties and work centrality were examined by including interaction effects with sex.ResultsWe observed a general reduction of depressive symptoms in the early years of retirement in both men and women. Higher suppression was related to higher depression scores while higher cognitive reappraisal was related to lower levels of depressive symptoms. Women more often used cognitive reappraisal, and men more often suppression, but no significant gender interaction in associations with depressive symptoms could be shown. Retirement adjustment difficulties and greater importance of work for self-esteem were related to higher depression scores. Greater meaning of work, on the other hand, was related to lower levels of depressive symptoms, and this association was stronger in men.ConclusionsThere was a general reduction of depression scores in the early years of retirement in both women and men. Findings suggest that basing one's self-esteem on workplace performance was related to higher levels of depressive symptoms after retirement, while perceiving one's job as important and meaningful may facilitate better adjustment in terms of lower depression symptom levels, especially in men.

Project description:Background: Little is known about whether sarcopenia predicts incident depressive symptoms in older adults. Using the nationally representative data from the China Health and Retirement Longitudinal Study (CHARLS), we conducted cross-sectional and longitudinal analyses to estimate the association between sarcopenia and depressive symptoms among older adults. Methods: The sample comprised 7,706 participants aged at least 60 years (50.6% women; mean age 68.0 ± 6.5) from the CHARLS 2015. Based on the Asian Working Group for Sarcopenia 2019 (AWGS 2019) criteria, sarcopenia status was classified into three types: no-sarcopenia, possible sarcopenia, and sarcopenia. Depressive symptoms were assessed using the validated 10-items of the Center for Epidemiologic Studies Depression Scale. A cross-sectional analysis was used to examine the relationship between sarcopenia status and depressive symptoms. A total of 4,652 participants without depressive symptoms were recruited from the same cohort in 2015 and were followed up in 2018. Cox proportional hazards regression models were conducted to examine the effect of sarcopenia status on subsequent depressive symptoms with the report of hazard ratio (HR). Results: The prevalence of depressive symptoms in total populations, no-sarcopenia, possible sarcopenia, and sarcopenia individuals were 27.1% (2085/7706), 21.5% (927/4310), 33.6% (882/2627), and 35.9% (276/769), respectively. Both possible sarcopenia (OR: 1.75, 95% CI: 1.46-2.10) and sarcopenia (OR: 1.64, 95% CI: 1.23-2.19) were positively associated with higher odds of depressive symptoms (all p < 0.01). During the 3.7 years of follow-up, 956 cases (20.6%) with incident depressive symptoms were identified. In the longitudinal analysis, individuals with the diagnosed possible sarcopenia (HR: 1.27, 95% CI: 1.01-1.58) and sarcopenia participants (HR: 1.49, 95% CI: 1.06-2.09) were more likely to have new onset depressive symptoms than no-sarcopenia peers. Conclusions: Both possible sarcopenia and sarcopenia, assessed using the AWGS 2019 criteria, were independent predictors for the occurrence of depressive symptoms among Chinese older adults. Our findings provided new evidence supporting the longitudinal connection between sarcopenia and mental health problems, it also provides further justification for timely identification and management of both possible sarcopenia and sarcopenia as part of comprehensive strategies to fight against depressive symptoms.

Project description:AimsRetirement is a major life transition that may improve or worsen mental health, including depression. Existing studies provide contradictory results. We conducted a systematic review with meta-analysis to quantitatively pool available evidence on the association of retirement and depressive symptoms.MethodsWe applied PRISMA guidelines to conduct a systematic review and meta-analysis to retrieve, quantitatively pool and critically evaluate the association between retirement and both incident and prevalent depression and to understand better the potential role of individual and contextual-level determinants. Relevant original studies were identified by searching PubMed, Embase, PsycINFO and the Cochrane Library, through 4 March 2021. Subgroup and sensitivity meta-analyses were conducted by gender, study design (longitudinal v. cross-sectional studies), study quality score (QS) and considering studies using validated scales to diagnose depression. Heterogeneity between studies was evaluated with I2 statistics.ResultsForty-one original studies met our a priori defined inclusion criteria. Meta-analysis on more than half a million subjects (n = 557 111) from 60 datasets suggested a protective effect of retirement on the risk of depression [effect size (ES) = 0.83, 95% confidence interval (CI) = 0.74-0.93], although with high statistical heterogeneity between risk estimates (χ2 = 895.19, df = 59, I2 = 93.41%, p-value < 0.0001). Funnel plot asymmetry and trim and fill method suggested a minor potential publication bias. Results were consistent, confirm their robustness and suggest stronger protective effects when progressively restricting the included studies based on quality criteria: (i) studies with the highest QS [55 datasets, 407 086 subjects, ES = 0.81, 95% CI = 0.71-0.91], (ii) studies with a high QS and using validated assessment tools to diagnose depression (44 datasets, 239 453 subjects, ES = 0.76, 95% CI = 0.65-0.88) and (iii) studies of high quality, using a validated tool and with a longitudinal design (24 datasets, 162 004 subjects, ES = 0.76, 95% CI = 0.64-0.90). We observed a progressive reduction in funnel plot asymmetry. About gender, no statistically significant difference was found (females ES = 0.79, 95% CI = 0.61-1.02 v. men ES = 0.87, 95% CI = 0.68-1.11).ConclusionsPooled data suggested that retirement reduces by nearly 20% the risk of depression; such estimates got stronger when limiting the analysis to longitudinal and high-quality studies, even if results are affected by high heterogeneity.As retirement seems to have an independent and protective effect on mental health and depressive symptoms, greater flexibility in retirement timing should be granted to older workers to reduce their mental burden and avoid the development of severe depression. Retirement may also be identified as a target moment for preventive interventions, particularly primary and secondary prevention, to promote health and wellbeing in older ages, boosting the observed impact.

Dataset Information

Psychosocial working characteristics before retirement and depressive symptoms across the retirement transition: a longitudinal latent class analysis.

Publications

Psychosocial working characteristics before retirement and depressive symptoms across the retirement transition: a longitudinal latent class analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets