Dataset Information

Workplace social capital and all-cause mortality: a prospective cohort study of 28,043 public-sector employees in Finland.

ABSTRACT: We examined the association between workplace social capital and all-cause mortality in a large occupational cohort from Finland.We linked responses of 28 043 participants to surveys in 2000 to 2002 and in 2004 to national mortality registers through 2009. We used repeated measurements of self- and coworker-assessed social capital. We carried out Cox proportional hazard and fixed-effects logistic regressions.During the 5-year follow-up, 196 employees died. A 1-unit increase in the mean of repeat measurements of self-assessed workplace social capital (range 1-5) was associated with a 19% decrease in the risk of all-cause mortality (age- and gender-adjusted hazard ratio [HR] = 0.81; 95% confidence interval [CI] = 0.66, 0.99). The corresponding point estimate for the mean of coworker-assessed social capital was similar, although the association was less precisely estimated (age- and gender-adjusted HR = 0.77; 95% CI = 0.50, 1.20). In fixed-effects analysis, a 1-unit increase in self-assessed social capital across the 2 time points was associated with a lower mortality risk (odds ratio = 0.81; 95% CI = 0.55, 1.19).Workplace social capital appears to be associated with lowered mortality in the working-aged population.

SUBMITTER: Oksanen T

PROVIDER: S-EPMC3154232 | biostudies-literature | 2011 Sep

REPOSITORIES: biostudies-literature

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Workplace social capital and all-cause mortality: a prospective cohort study of 28,043 public-sector employees in Finland.

Oksanen Tuula T Kivimäki Mika M Kawachi Ichiro I Subramanian S V SV Takao Soshi S Suzuki Etsuji E Kouvonen Anne A Pentti Jaana J Salo Paula P Virtanen Marianna M Vahtera Jussi J

American journal of public health 20110721 9

<h4>Objectives</h4>We examined the association between workplace social capital and all-cause mortality in a large occupational cohort from Finland.<h4>Methods</h4>We linked responses of 28 043 participants to surveys in 2000 to 2002 and in 2004 to national mortality registers through 2009. We used repeated measurements of self- and coworker-assessed social capital. We carried out Cox proportional hazard and fixed-effects logistic regressions.<h4>Results</h4>During the 5-year follow-up, 196 empl ...[more]

PMID: 21778502

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Project description:IntroductionWorkplace social capital (WSC) has been shown to affect employees' well-being and health, yet it is not clear how public managers can create WSC and which forms of WSC are most important. This study is the first prospective cohort study to examine the relationship between management behaviour, WSC, well-being and sickness absence. It uses a validated and detailed scale on WSC, which can distinguish between bonding, bridging, linking and organisational WSC over time. The study thereby provides rich data giving a much-needed detailed image of how WSC impacts on public employees' well-being and health. Additionally, the study pays special attention to the fact that these relationships can be different for different types of employees and therefore tests a set of relevant employee and context-related variables.Methods and analysisProject preparations in terms of agreements and data preparation of existing data started in 2019. This prospective cohort study considers and collects organisational data from 2016 to 2025. Annual employee surveys of more than 8000 employees (in a large Danish municipality) will be combined with register data in all years. This generates a unique cohort of public employees in different professions that are traceable over several years. The annual surveys include information on the management behaviour, WSC and employee outcomes. Fine-grained information on sickness absences will be matched for all employees and years under study. Moreover, confounders and the nested nature of the data will be considered.Ethics and disseminationApproval has been obtained from The Regional Committee on Health Research Ethics from Southern Denmark and from the University of Southern Denmark. The results will be presented at conferences and published in international peer-reviewed journals and in a practice-oriented monography targeted at public managers. The result will furthermore be disseminated to the involved employees through seminars and workshops in the participating organisations.

Project description:BackgroundA growing number of studies have sought to examine the health associations of workplace social capital; however, evidence of associations with overweight is sparse. We examined the association between individual perceptions of workplace social capital and overweight among Japanese male and female employees.Methodology/principal findingsWe conducted a cross-sectional survey among full-time employees at a company in Osaka prefecture in February 2012. We used an 8-item measure to assess overall and sub-dimensions of workplace social capital, divided into tertiles. Of 1050 employees, 849 responded, and 750 (624 men and 126 women) could be linked to annual health check-up data in the analysis. Binomial logistic regression models were used to calculate odds ratios and 95% confidence intervals for overweight (body mass index: ≥ 25 kg/m(2), calculated from measured weight and height) separately for men and women. The prevalence of overweight was 24.5% among men and 14.3% among women. Among men, low levels of bonding and linking social capital in the workplace were associated with a nearly 2-fold risk of overweight compared to high corresponding dimensions of social capital when adjusted for age, sleep hours, physiological distress, and lifestyle. In contrast, among women we found lower overall and linking social capital to be associated with lower odds for overweight even after covariate adjustment. Subsequently, we used multinomial logistic regression analyses to assess the relationships between a 1 standard deviation (SD) decrease in mean social capital and odds of underweight/overweight relative to normal weight. Among men, a 1-SD decrease in overall, bonding, and linking social capital was significantly associated with higher odds of overweight, but not with underweight. Among women, no significant associations were found for either overweight or underweight.Conclusions/significanceWe found opposite gender relationships between perceived low linking workplace social capital and overweight among Japanese employees.

Project description:ObjectivesTo develop a risk prediction algorithm for identifying work units with increased risk of violence in the workplace.DesignProspective cohort study.SettingPublic sector employees in Finland.Participants18 540 nurses, social and youth workers, and teachers from 4276 work units who completed a survey on work characteristics, including prevalence and frequency of workplace violence/threat of violence at baseline in 2018-2019 and at follow-up in 2020-2021. Those who reported daily or weekly exposure to violence or threat of violence daily at baseline were excluded.ExposuresMean scores of responses to 87 survey items at baseline were calculated for each work unit, and those scores were then assigned to each employee within that work unit. The scores measured sociodemographic characteristics and work characteristics of the work unit.Primary outcome measureIncrease in workplace violence between baseline and follow-up (0=no increase, 1=increase).ResultsA total of 7% (323/4487) of the registered nurses, 15% (457/3109) of the practical nurses, 5% of the social and youth workers (162/3442) and 5% of the teachers (360/7502) reported more frequent violence/threat of violence at follow-up than at baseline. The area under the curve values estimating the prediction accuracy of the prediction models were 0.72 for social and youth workers, 0.67 for nurses, and 0.63 for teachers. The risk prediction model for registered nurses included five work unit characteristics associated with more frequent violence at follow-up. The model for practical nurses included six characteristics, the model for social and youth workers seven characteristics and the model for teachers included four characteristics statistically significantly associated with higher likelihood of increased violence.ConclusionsThe generated risk prediction models identified employees working in work units with high likelihood of future workplace violence with reasonable accuracy. These survey-based algorithms can be used to target interventions to prevent workplace violence.

Dataset Information

Workplace social capital and all-cause mortality: a prospective cohort study of 28,043 public-sector employees in Finland.

Publications

Workplace social capital and all-cause mortality: a prospective cohort study of 28,043 public-sector employees in Finland.

Similar Datasets

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