title: Predictors of Work-Family Role Conflict and Its Impact on Professional Women in Medicine, Engineering, and Information Technology in Nigeria.
abstract: This study examines work-family role conflict and the factors predicting it, with a sample of 173 professional women in engineering and information technology (IT) firms, including 2 hospitals-1 public and 1 private. Our findings show no significant difference in the level of work-family role conflict encountered by women across medicine, engineering, and IT, whereas hours of work, family responsibilities, job demand, and work role overload were significantly correlated with work-family role conflict. Multiple linear regression analysis indicates that only work role overload, family responsibilities, and hours of work significantly predicted 45.9% of work-family role conflict. This implies that working women are burdened by work demands, which invariably affects the work-family role conflict they experience and leads to deterioration of their occupational health. It is suggested that employers should create a flexible work schedule and establish family-friendly policies in the workplace to promote a healthy work-life balance for women in science careers.
authors.affiliation: 1 Department of Science and Technology Studies, Faculty of Science, University of Malaya.
authors.forename: Anthonia Ginika
authors.initials: AG
authors.lastname: Uzoigwe
authors.affiliation: 2 Research Management Centre, Faculty of Medicine, University of Malaya.
authors.forename: Wah Yun
authors.initials: WY
authors.lastname: Low
authors.affiliation: 1 Department of Science and Technology Studies, Faculty of Science, University of Malaya.|3 Centre for the Initiation of Talent & Industrial Training, University of Malaya.
authors.forename: Siti Nurani Mohd
authors.initials: SN
authors.lastname: Noor
mesh_terms: D000328:Adult; D003220:Conflict, Psychological; D004738:Engineering; D005190:Family / Q000523:psychology*; D005260:Female; D006801:Humans; D048088:Informatics; D009549:Nigeria; D010822:Physicians, Women / Q000523:psychology / Q000706:statistics & numerical data; D012307:Risk Factors; D012380:Role; D013315:Stress, Psychological; D014931:Women, Working / Q000523:psychology* / Q000706:statistics & numerical data; D014937:Work / Q000523:psychology*; D000072358:Work-Life Balance; D016526:Workload / Q000523:psychology
keywords: and information technology; career women; engineering; job demand; medicine; predictors; work hours; work stress; work-family role conflict