Unknown

Dataset Information

0

Examining a Comprehensive Model of Work and Family Demands, Work-Family Conflict, and Depressive Symptoms in a Sample of Correctional Supervisors.


ABSTRACT:

Objective

This study examined how work and family demands affect depressive symptoms, and the mediating roles of work-to-family conflict and family-to-work conflict in a sample of correctional supervisors.

Methods

Using a cross-sectional design, correctional supervisors working in a Northeastern state (n = 156) participated in an online survey. Structural equation modeling was used to examine direct and indirect effects between study variables.

Results

Amount of overtime hours worked significantly predicted work-to-family conflict (β = 0.18, P < 0.05), and work-to-family conflict significantly predicted greater depressive symptoms (β = 0.61, P < 0.01). Overtime work also had an indirect effect on depressive symptoms through work-to-family conflict (β = 0.11 [95% CI 0.001-0.42]). No other statistically significant effects of relevance were found.

Conclusions

Working overtime had an indirect effect on correctional supervisors' depressive symptoms, mediated by work-to-family conflict.

SUBMITTER: Namazi S 

PROVIDER: S-EPMC11246744 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications

Examining a Comprehensive Model of Work and Family Demands, Work-Family Conflict, and Depressive Symptoms in a Sample of Correctional Supervisors.

Namazi Sara S   Dugan Alicia G AG   Fortinsky Richard H RH   Barnes-Farrell Janet J   Coman Emil E   El Ghaziri Mazen M   Cherniack Martin G MG  

Journal of occupational and environmental medicine 20191001 10


<h4>Objective</h4>This study examined how work and family demands affect depressive symptoms, and the mediating roles of work-to-family conflict and family-to-work conflict in a sample of correctional supervisors.<h4>Methods</h4>Using a cross-sectional design, correctional supervisors working in a Northeastern state (n = 156) participated in an online survey. Structural equation modeling was used to examine direct and indirect effects between study variables.<h4>Results</h4>Amount of overtime ho  ...[more]

Similar Datasets

| S-EPMC8461224 | biostudies-literature
| S-EPMC4324931 | biostudies-other
| S-EPMC11604010 | biostudies-literature
| S-EPMC10629015 | biostudies-literature
| S-EPMC10759684 | biostudies-literature
| S-EPMC9349714 | biostudies-literature
| S-EPMC10627013 | biostudies-literature
| S-EPMC4208075 | biostudies-literature
| S-EPMC11918927 | biostudies-literature
| S-EPMC11870374 | biostudies-literature