Work–Family Conflict and Well-Being among German Couples: A Longitudinal and Dyadic Approach

2019 ◽  
Vol 60 (3) ◽  
pp. 377-395 ◽  
Author(s):  
Deniz Yucel ◽  
Wen Fan

This study examines dual-earner couples to determine whether changes in work–family conflict predict changes in one’s own (i.e., actor effects) or partner’s (i.e., partner effects) health and well-being as well as gender differences in these relationships. Using data from 1,001 dual-earner couples in Wave 6 and Wave 8 of the German Family Panel survey (Pairfam), we found (1) significant actor effects for all outcomes, with stronger actor effects among men than women on mental health; (2) significant partner effects for life satisfaction and mental health, with stronger partner effects among men than women on life satisfaction; and (3) stronger actor effects than corresponding partner effects for life satisfaction and mental health. As work–family conflict has become a fact of life for many contemporary workers, our results contribute by highlighting the importance of using couple-level data and testing longitudinal crossover effects to provide a fuller understanding of such conflict’s health consequences.

2020 ◽  
Vol 60 (2) ◽  
pp. 397
Author(s):  
Elizabeth Brook ◽  
Melanie Freeman ◽  
Graeme Ditchburn

Concerns about the increased risk to mental health in fly-in, fly-out (FIFO) workers in the construction and resources industries led to increased public and government scrutiny, resulting in Western Australia’s adoption of a code of practice. In general, research has found that a higher incidence of psychological distress in FIFO workers has resulted from high compression rosters and work–family conflict, as well as feelings of isolation. Risk controls, such as perceived levels of support, have been found to be significantly related to improved mental health and organisational outcomes. Organisations need to address the non-financial needs of their workers and look to develop their perceived support, job satisfaction and adjustment to the FIFO lifestyle. This paper outlines practical risk controls and interventions organisations can take to improve psychological and organisational outcomes.


Author(s):  
Cindy Xinshan Jia ◽  
Chau-kiu Cheung ◽  
Chengzhe Fu

The current study examined the relationships among work support, role stress, work-family conflict, and life satisfaction, with a sample of social workers in China’s Pearl River Delta (N = 1414). Using structure equation modelling, the study revealed that social workers’ life satisfaction reduced because of role conflict and work-family conflicts. Work-family conflict partially mediated the negative effects of role ambiguity and conflict on social workers’ life satisfaction. Work support from their director, manager, supervisor, and co-workers protectively reduced role stress and work-family conflict. The findings emphasize the significance of managing the interference between work and family for social workers’ well-being.


2007 ◽  
Vol 29 (3) ◽  
pp. 396-422 ◽  
Author(s):  
Rosalind Chait Barnett ◽  
Karen C. Gareis ◽  
Robert T. Brennan

In a sample of 55 dual-earner families with children aged 8 to 14 in which the mothers are registered nurses regularly working either day shifts (typically 7:00 a.m. to 3:00 p.m.) or evening shifts (typically 3:00 p.m. to 11:00 p.m.), we estimated the within-couple relationship between the wife's work variables (i.e., work shift, work hours, and the interaction between work shift and work hours) and each spouse's work—family conflict, psychological distress, and marital-role quality. Wives' work variables predicted their own work—family conflict and psychological distress and showed a trend to predict their husbands' work—family conflict.


2016 ◽  
Vol 6 (2) ◽  
Author(s):  
Hieu Nguyen ◽  
Sukanlaya Sawang

AbstractThis study responds to calls for theory and research on work–family aspects in entrepreneurship research. This study examines the role of work–family conflict, work–family enhancement and social support on small business owners’ (SBOs) well-being. Drawing from The Household Income and Labour Dynamics in Australia (HILDA) panel data, the sample is restricted to SBOs, married with children under the age of 14 during 2010–2011 (two waves), totaling 167 SBOs. Results revealed that work–family conflict has a negative direct effect on mental health, job, family and life satisfactions. Similarly, work–family enhancement was found to have a direct positive effect on job, family and life satisfaction but not mental health. A significant interaction term also suggested that work–family enhancement moderated the relationship between work–family conflict and SBOs’ job satisfaction. Finally social support was found to have positive main effect on both subjective and psychological well-being. The interventions to well-being of SBOs should aim to balance the work and family lives of SBOs as well as making sure they have adequate social support networks. For public policy makers, support programs should extend from traditional means to balancing work–family matters for this particular occupation. Aside from broadening existing knowledge on the effects of work–family conflict, enhancement and social support, this is one of the first studies to examine well-being as a measure of success for SBOs. Additionally, the use of cross-wave data in the present study helps us to reduce this problem and provide a much stronger causal relationship between the focal variables of interest.


2014 ◽  
Vol 13 (2) ◽  
pp. 87-96 ◽  
Author(s):  
Xi-Chao Zhang ◽  
Oi Ling Siu ◽  
Jing Hu ◽  
Weiwei Zhang

This study investigated the direct, reversed, and reciprocal relationships between bidirectional work-family conflict/work-family facilitation and psychological well-being (PWB). We administered a three-wave questionnaire survey to 260 married Chinese employees using a time lag of one month. Cross-lagged structural equation modeling analysis was conducted and demonstrated that the direct model was better than the reversed causal or the reciprocal model. Specifically, work-to-family conflict at Time 1 negatively predicted PWB at Time 2, and work-to-family conflict at Time 2 negatively predicted PWB at Time 3; further, work-to-family facilitation at Time 1 positively predicted PWB at Time 2. In addition, family-to-work facilitation at Time 1 positively predicted PWB at Time 2, and family-to-work conflict at Time 2 negatively predicted PWB at Time 3.


2011 ◽  
Author(s):  
Heidi M. Baumann ◽  
David L. Taylor ◽  
Kelly S. Wilson

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