Psychological and clinical predictors of return to work after acute coronary syndrome

Eur Heart J. 2007 Jan;28(2):160-5. doi: 10.1093/eurheartj/ehl440. Epub 2006 Dec 21.

Abstract

Aims: Resumption of paid employment following acute coronary syndrome (ACS) is an important indicator of recovery, but has not been studied extensively in the modern era of acute patient care.

Methods and results: A total of 126 patients who had worked before hospitalization for ACS were studied with measures of previous clinical history, ACS type and severity, clinical management, and sociodemographic characteristics. Depressed mood (Beck Depression Inventory) and type D personality were measured 7-10 days following admission. Among them, 101 (80.2%) had returned to work 12-13 months later. Failure to resume work was associated with cardiac factors on admission (heart failure, arrhythmia), cardiac complications during the intervening months, and depression scores during hospitalization. It was not related to age, gender, socioeconomic status, type of ACS, cardiac history, acute clinical management, or type D personality. In multivariate analysis, the likelihood of returning to work was negatively associated with depression, independently of clinical and demographic factors [adjusted odds ratio 0.90, CI 0.82-0.99, P=0.032].

Conclusion: Depressed mood measured soon after admission is a predictor of returning to work following ACS. The management of early depressed mood might promote the resumption of economic activity and enhance the quality of life of cardiac patients.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Angina, Unstable / psychology*
  • Angina, Unstable / rehabilitation
  • Arrhythmias, Cardiac / psychology
  • Depressive Disorder / complications*
  • Educational Status
  • Employment / statistics & numerical data
  • Female
  • Humans
  • Male
  • Middle Aged
  • Myocardial Infarction / psychology*
  • Myocardial Infarction / rehabilitation
  • Personality Disorders / complications*
  • Quality of Life
  • Regression Analysis
  • Socioeconomic Factors
  • Syndrome