Work hours and well-being: the roles of work-time control and work-family interference
Abstract
This study focused on mediating and moderating processes underlying the relationship between work hours and well-being. Questionnaire data from 292 female employees in two UK public sector organizations were analysed. Drawing on effort-recovery theory and published empirical findings, it was hypothesized that work–family interference (WIF) would mediate the relationship between work hours and measures of well-being (psychological distress and family satisfaction), and that work-time control would moderate the association between work hours and WIF. Hierarchical regression analyses showed that, after controlling for demographic variables, neuroticism, and job demands, WIF mediated the effect of work hours on family satisfaction, although no evidence of mediation was found for the psychological distress outcome measure. Work-time control moderated the relationship between work hours and WIF; higher control buffered the effect of longer hours on WIF. These findings add to the literature on the role of WIF in the effort-recovery process by showing that longer work hours are not necessarily associated with higher work–family interference, and hence with poor recovery and impaired well-being. Instead, having a degree of control over work hours moderates the first link in this process. Thus, the provision by employers of some flexibility and control over work hours may help to reduce the potential negative impact of long work hours on employees.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Recent studies have found evidence for a buffering effect of high worktime control on stress, sickness absence, and worklife balance (34-38).
“Some recent studies indeed have found evidence for a buffering effect of high worktime control on stress, sickness absence, and worklife balance (34-38).”
From A diary study to open up the black box of overtime work among university faculty members (2008) · cites this paper as [38]
Cites
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194 · see citing works
SPSS and SAS procedures for estimating indirect effects in simple mediation models
Preacher, K. J., & Hayes, A. F. (2004) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03206553 · Cited by 17,383 · see citing works
Consequences associated with work-to-family conflict: A review and agenda for future research.
Allen, T. D., Herst, D. E. L., Bruck, C. S., & Sutton, M. (2000) · Journal of Occupational Health Psychology · doi:10.1037/1076-8998.5.2.278 · Cited by 2,767 · see citing works
Health and safety problems associated with long working hours: a review of the current position
Spurgeon, A., Harrington, J. M., & Cooper, C. L. (1997) · Occupational and Environmental Medicine · doi:10.1136/oem.54.6.367 · Cited by 532 · see citing works
Associations between overtime and psychological health in high and low reward jobs
Van Der Hulst, M., & Geurts, S. (2001) · Work & Stress · doi:10.1080/026783701110.1080/02678370110066580 · Cited by 213 · see citing works
Overtime and Need for Recovery in Relation to Job Demands and Job Control
Van der Hulst, M., Van Veldhoven, M., & Beckers, D. (2006) · Journal of Occupational Health · doi:10.1539/joh.48.11 · Cited by 106 · see citing works
Work–home interference: How does it manifest itself from day to day?
Van Hooff, M. L. M., Geurts, S. A. E., Kompier, M. A. J., & Taris, T. W. (2006) · Work & Stress · doi:10.1080/02678370600915940 · Cited by 102 · cited 1× · see citing works
“Moreover, longer work hours have been related to higher levels of WIF in male managers (Brett & Stroh, 2003 ), whilst hours worked (Grzywacz & Marks, 2000 ) and overtime evening work (van Hooff, Geurts, Kompier, & Taris, 2006 ) have been associated with higher WIF in both men and women.”
Background
Flagged first, then by citations
Cited by
Sorted by citations
The Intersection of Work and Family Life: The Role of Affect
Eby, L. T., Maher, C. P., & Butts, M. M. (2010) · Annual Review of Psychology · doi:10.1146/annurev.psych.093008.100422 · Cited by 160 · see citing works
A diary study to open up the black box of overtime work among university faculty members
Beckers, D. G., van Hooff, M. L., van der Linden, D., Kompier, M. A., Taris, T. W., & Geurts, S. A. (2008) · Scandinavian Journal of Work, Environment & Health · doi:10.5271/sjweh.1226 · Cited by 23 · see citing works
“Some recent studies indeed have found evidence for a buffering effect of high worktime control on stress, sickness absence, and worklife balance (34–38).”
- Authors
- Hughes, E. L., & Parkes, K. R.
- Affiliations
- University of Oxford (GB)
- Corresponding author
- Hughes, Emily L.
- ORCID
- Parkes, Katharine R.
- Venue
- Work & Stress
- Publisher
- Informa UK Limited
- Published
- 2007-07
- Volume
- 21
- Issue
- 3
- Pages
- 264-278
- ISSN
- 0267-8373 (ISSN-L)
- 1464-5335
- OpenAlex
- W2048462549
- Cited by
- 169
- References
- 7
- Citations by year
- 2025: 10 · 2024: 4 · 2023: 13 · 2022: 12 · 2021: 6 · 2020: 11 · 2019: 9 · 2018: 5 · 2017: 7 · 2016: 3 · 2015: 13 · 2014: 16 · 2013: 19 · 2012: 15
- FWCI
- 19.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Work & Stress (publishedVersion)
- UWA Profiles and Research Repository (UWA) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Work-Family Balance Challenges
- Social Sciences › Psychology › Social Psychology › Workaholism, burnout, and well-being
- Health Sciences › Health Professions › General Health Professions › Workplace Health and Well-being
- Keywords
- working hours, well-being, work time control, work-family interference, psychological distress, family satisfaction, female employees, public sector employees, job demands, neuroticism, work flexibility
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review