Social Workers' Self-Care Practices: Buffering the Influence of Work-Family Interferences on Burnout and Engagement.

IF 1.7 4区 社会学 Q1 SOCIAL WORK Health & Social Work Pub Date : 2022-05-28 DOI:10.1093/hsw/hlac010
Xoán M Lombardero-Posada, Ana B Méndez-Fernández, Francisco X Aguiar-Fernández, Evelia Murcia-Álvarez, Antonio González-Fernández
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引用次数: 1

Abstract

As a reaction to specific job stressors, social workers can experience job burnout. The job demands-resources theory posits that personal characteristics would mediate the influence of job stressors on either burnout or engagement. Within this framework, this cross-sectional research aimed to analyze the relationships between work-family interferences (as predictors), self-care practices (as mediators), and burnout and engagement (as outcomes). The sample included 437 graduate social workers from Spain. Structural equation modeling showed that family-work and work-family conflicts negatively predicted self-care practices and positively predicted burnout. Professional and personal self-care practices positively predicted engagement, negatively predicted burnout, and attenuated the impact of work-family interferences on burnout and engagement. To the authors' knowledge, the present article is the first to test the job demands-resources theory with these variables on social workers. The findings support interventions for social work students and professionals enhancing self-care practices to promote engagement and to reduce burnout, and highlight the need to decrease job stressors and enhance job resources for social workers.
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社会工作者的自我照顾实践:缓冲工作-家庭干扰对倦怠和敬业的影响。
作为对特定工作压力源的反应,社会工作者可能会经历工作倦怠。工作需求-资源理论认为,个人特征会中介工作压力源对倦怠或敬业的影响。在此框架下,本横断面研究旨在分析工作-家庭干扰(作为预测因素)、自我保健实践(作为中介因素)、倦怠和敬业(作为结果)之间的关系。样本包括来自西班牙的437名毕业生社会工作者。结构方程模型显示,家庭-工作和工作-家庭冲突负向预测自我照顾行为,正向预测职业倦怠。职业和个人自我护理实践正向预测敬业度,负向预测职业倦怠,并减弱工作家庭干扰对职业倦怠和敬业度的影响。据作者所知,本文是第一次用这些变量对社会工作者的工作需求-资源理论进行检验。研究结果支持社会工作学生和专业人员的干预措施,加强自我护理实践,以促进参与和减少倦怠,并强调减少工作压力源和增加社会工作者的工作资源的必要性。
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来源期刊
Health & Social Work
Health & Social Work SOCIAL WORK-
CiteScore
1.90
自引率
6.70%
发文量
30
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