- PHQ-9 displayed predominantly unidimensional structure among long-term severe COVID-19 survivors in Colombia, supported by EFA and CFA.
- Unifactorial model showed superior internal consistency (α = 0.81, ω = 0.86) versus two-factor solution with lower alphas.
- Fatigue item had lowest loading, suggesting overlap between long COVID fatigue and depressive symptoms and need for criterion validation against psychiatric assessment.
Front Psychol. 2026 Apr 24;17:1657877. doi: 10.3389/fpsyg.2026.1657877. eCollection 2026.
ABSTRACT
INTRODUCTION: Depression is prevalent among survivors of severe COVID-19, yet psychometric evidence for screening instruments in this population remains limited, particularly in Latin America. The factor structure of the Patient Health Questionnaire-9 (PHQ-9) remains unclear in long-term survivors of severe COVID-19. This study aimed to evaluate the psychometric properties and factor structure of the PHQ-9 in a Colombian cohort of long-term survivors of severe COVID-19.
MATERIALS AND METHODS: The PHQ-9 was administered to 177 individuals previously hospitalized with severe COVID-19, with follow-up extending up to 20 months post-discharge. Both exploratory (EFA) and confirmatory factor analyses (CFA) were conducted to evaluate competing structural models.
RESULTS: The unifactorial solution demonstrated superior internal consistency (α = 0.81, ω = 0.86) compared with the two-factor solution (Factor 1: α = 0.74; Factor 2: α = 0.61). The two-factor item distribution did not correspond to established depression frameworks. CFA showed both models had acceptable fit, but chi-square difference testing revealed no significant improvement for the two-factor model (Δχ2 = 0.27, p = 0.602). The fatigue item exhibited the lowest factor loading.
CONCLUSION: The PHQ-9 demonstrated a predominantly unidimensional structure in this population. The weak performance of the fatigue item suggests potential overlap between long COVID-related fatigue and depressive symptomatology, warranting future criterion validation against structured psychiatric assessment.
PMID:42117068 | PMC:PMC13157674 | DOI:10.3389/fpsyg.2026.1657877
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