Workload, Compassion Fatigue, Family Harmony, and Life Satisfaction among Social Workers: A Moderated Mediation Model

Abstract This study investigates the relationships among quantitative workload (QWL), compassion fatigue (CF), family harmony (FH), and life satisfaction (LS) among social welfare workers in Türkiye. Employing a cross-sectional design, data were collected from 453 participants and analyzed using structural equation modeling and moderation analysis with the PROCESS Macro. The results showed that QWL significantly predicted CF (β = .358, p < .001). CF, in turn, negatively predicted both FH (β = –.325, p < .001) and LS (β = –.332, p < .001), while FH positively predicted LS (β = .284, p < .001). Mediation analyses revealed that QWL indirectly affected FH via CF (β = –.116, p < .001) and sequentially affected LS through both CF and FH (β = –.143, p < .001). Additionally, CF indirectly influenced LS via FH (β = –.092, p < .001). Moreover, gender, work experience, and decision-making authority significantly moderated several of these relationships. These results underscore the importance of addressing emotional exhaustion and work‒life balance to support the well-being of social service professionals.

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Publication Details

Journal
Social Work
Published
2026-07-22
DOI
https://doi.org/10.1093/sw/swag033
Primary Topic
Work-Family Balance Challenges
Type
article
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article

Workload, Compassion Fatigue, Family Harmony, and Life Satisfaction among Social Workers: A Moderated Mediation Model

Yavuz Aslan, Orhan Koçak, Sait Doğan, Harun Ceylan et al.
Social Work
Work-Family Balance Challenges
article

Workload, Compassion Fatigue, Family Harmony, and Life Satisfaction among Social Workers: A Moderated Mediation Model

Yavuz Aslan, Orhan Koçak, Sait Doğan, Harun Ceylan, Hesna Kesen
article en

Abstract

Abstract This study investigates the relationships among quantitative workload (QWL), compassion fatigue (CF), family harmony (FH), and life satisfaction (LS) among social welfare workers in Türkiye. Employing a cross-sectional design, data were collected from 453 participants and analyzed using structural equation modeling and moderation analysis with the PROCESS Macro. The results showed that QWL significantly predicted CF (β = .358, p < .001). CF, in turn, negatively predicted both FH (β = –.325, p < .001) and LS (β = –.332, p < .001), while FH positively predicted LS (β = .284, p < .001). Mediation analyses revealed that QWL indirectly affected FH via CF (β = –.116, p < .001) and sequentially affected LS through both CF and FH (β = –.143, p < .001). Additionally, CF indirectly influenced LS via FH (β = –.092, p < .001). Moreover, gender, work experience, and decision-making authority significantly moderated several of these relationships. These results underscore the importance of addressing emotional exhaustion and work‒life balance to support the well-being of social service professionals.

Social Work
Mardin Artuklu University (TR), Yalova University (TR), Istanbul University-Cerrahpaşa (TR)
Gender equality
Openalex Percentile: Top 3%
Work-Family Balance Challenges
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