Types of depression in patients with coronary heart disease: Results from the THORESCI study

H. Hermans*, P. Lodder, N. Kupper

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

BACKGROUND: Both coronary heart diseases (CHD) and depression are highly prevalent and bidirectionally related. The precise nature of this relationship remains unclear. Defining depressive subtypes could help unravel this relationship. Therefore, the aim of this study was to explore depressive subtypes in patients with CHD.

METHODS: 1530 patients (21.3 % women, mean age: 64.7 years (SD = 10.1)) were included in latent class analysis with nine indicators derived from the PHQ-9 and BDI-II representing symptoms of depression as described in the DSM-5 criteria. The best-fitting latent class model was confirmed with double cross-validation. Classes were characterized using demographic, medical, psychiatric, and cardiovascular (risk) factors.

RESULTS: A 3-class model demonstrated the best fit to the data, resulting in a depressed (5.4 %), fatigued (13.5 %), and non-depressed class (81.1 %). Having medical comorbidities, a history of psychiatric problems, negative affectivity, and anxiety symptoms increased the odds of belonging to the depressed group (OR 3.02, 95%CI 1.19-7.68, OR 3.61, 95%CI 1.44-9.02, OR 1.16, 95%CI 1.04-1.30, and OR 1.89, 95%CI 1.66-2.15, respectively). Belonging to the fatigued group was associated with increased odds of having an elective PCI (OR 2.12, 95%CI 1.27-3.55), insufficient physical activity (OR 2.19, 95%CI 1.20-3.99), comorbid medical conditions (OR 2.15, 95%CI 1.21-3.81), a history of psychiatric problems (OR 2.25, 95%CI 1.25-4.05), and anxiety symptoms (OR 1.48, 95%CI 1.34-1.63) compared with the non-depressed group.

LIMITATIONS: Future studies should include more people with depressive symptoms.

CONCLUSIONS: Patients with CHD and medical or psychiatric risk factors should be offered support to decrease or prevent depressive or fatigue symptoms.

Original languageEnglish
Pages (from-to)806-814
Number of pages9
JournalJournal of Affective Disorders
Volume367
Early online date2024
DOIs
Publication statusPublished - 2024

Keywords

  • Coronary heart disease
  • Depression
  • Depressive subtypes
  • Latent class analysis

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