Determinants of depressive symptoms in hospitalised men and women with heart failure

Eur J Cardiovasc Nurs. 2008 Jun;7(2):121-6. doi: 10.1016/j.ejcnurse.2007.07.002. Epub 2007 Aug 10.

Abstract

Background: Depressive symptoms are prominent and related to an increased risk on cardiovascular disease outcomes and all cause mortality in HF patients.

Aim: To intervene effectively, factors related to depressive symptoms in men and women should be identified.

Methods: Depressive symptoms of 921 hospitalised HF patients (61% male; age 71+/-11; LVEF 33%+/-14, NYHA II-IV) were assessed by the Center for Epidemiological Studies-Depression scale (CES-D).

Results: Overall 40% of the patients had depressive symptoms (CES-D >or=16), which were more common in women than in men (47% versus 36%, p<0.001). Multivariable analysis in men revealed that depressive symptoms were related to age (OR 0.84, 95% CI 0.71-0.98, p=0.03, per 10 years), physical health (OR 0.76, 95% CI 0.71-0.83, p<0.001, per 10 units) and HF symptoms. In women depressive symptoms were also related to NYHA II-III versus IV (OR 0.60, 95% CI 0.37-0.95, p<0.03) and COPD (OR 2.33, 95% CI 1.20-4.53, p<0.012).

Conclusion: Depressive symptoms are more common in women than in men. In both men and women depressive symptoms are related to age and physical health. For clinical factors: In men only HF symptoms, but in women also NYHA and COPD were related to depressive symptoms.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Distribution
  • Aged
  • Attitude to Health*
  • Comorbidity
  • Depression / diagnosis
  • Depression / epidemiology
  • Depression / etiology
  • Depression / psychology*
  • Female
  • Health Status
  • Heart Failure / complications
  • Heart Failure / psychology*
  • Humans
  • Inpatients / psychology*
  • Inpatients / statistics & numerical data
  • Logistic Models
  • Male
  • Men / psychology*
  • Multivariate Analysis
  • Netherlands / epidemiology
  • Psychiatric Status Rating Scales
  • Risk Factors
  • Severity of Illness Index
  • Sex Distribution
  • Sex Factors
  • Surveys and Questionnaires
  • Women / psychology*