Extending the demand-control model to informal caregiving

Gerard J Molloy, Derek Johnston, Marie Johnston, Val Morrison, Beth Pollard, Debbie Bonetti, Sara Joice, Ron MacWalter

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

Objective
Karasek's demand–control model of job strain was used in an attempt to extend previous work examining the psychological impact of informal caregiving in stroke.

Method
Data were gathered from 138 informal caregivers/patient dyads at two time points. The dependent variables were the caregiver's anxiety and depression [Hospital Anxiety and Depression Scale (HADS)]. The predictor variables were caregiver demand (stroke survivor's assessment of their physical and psychosocial functional limitations) and control (caregiver's perceived control over stroke survivor's recovery).

Results
In a cross-sectional analysis of Times 1 and 2 data, main effects for demand and/or control were detected for anxiety and depression. Contrary to prediction, in longitudinal analysis of change, it was found that decreasing control, along with increasing demand, was associated with reduced distress.

Conclusion
The model was moderately successful in predicting emotional distress. The relative importance of caregiver demand and control in predicting outcomes changed over time in these data. Attempts to replicate these findings are recommended.

Original languageEnglish
Pages (from-to)243-251
Number of pages9
JournalJournal of Psychosomatic Research
Volume58
Issue number3
DOIs
Publication statusPublished - 2005

Keywords

  • Adaptation, Psychological
  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Anxiety
  • Caregivers
  • Cross-Sectional Studies
  • Depression
  • Female
  • Humans
  • Internal-External Control
  • Job Satisfaction
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Patient Participation
  • Personality Inventory
  • Professional-Patient Relations
  • Prospective Studies
  • Recovery of Function
  • Stroke
  • Survival
  • Workload
  • Writing

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