Distinguishing between overtime work and long workhours among full-time and part-time workers

Scand J Work Environ Health. 2007 Feb;33(1):37-44. doi: 10.5271/sjweh.1062.

Abstract

Objectives: This study aimed at disentangling the effects of overtime hours from those of long workhours. For part-time workers, overtime work is not intertwined with long workhours as it is for full-time workers. Therefore, part-time and full-time employees were compared with regard to the association between overtime and well-being (fatigue and work motivation). Such comparisons may also shed more light on the psychological meaning of overtime work for part-time and full-time workers.

Methods: A survey study was conducted among a representative sample of Dutch employees (N=2419). An analysis of covariance was used to investigate whether the relationship between overtime and well-being differs between marginal part-time (8-20 contractual workhours), substantial part-time (21-34 hours), and full-time (>or=35 hours) workers. Work characteristics (ie, job demands, decision latitude, and job variety), age, and gender were treated as covariates.

Results: No significant relationship between overtime and fatigue was found for any of the contract-hour groups. For the part-time workers, overtime was not related to higher work motivation, whereas for full-time workers it was.

Conclusions: It is important to distinguish between overtime and long workhours, given the differential overtime-motivation relationship among part-time and full-time workers. This finding suggests that part-time employees work overtime for reasons other than motivation or that working overtime does not enhance work motivation for this group of employees. Overtime work seems to have a different meaning for part-time and full-time workers.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Employment / psychology
  • Employment / statistics & numerical data*
  • Fatigue / epidemiology*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Motivation*
  • Netherlands / epidemiology
  • Personnel Staffing and Scheduling / statistics & numerical data*
  • Work Schedule Tolerance*