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The PSQI demonstrates better psychometric performance as a multidimensional measure, particularly a two-factor structure, than as a single global score in young South African women.

In a large sample of 7182 young women in Soweto, South Africa, the PSQI showed modest internal consistency (α=.57, ω=.57) and poor fit for the one-factor model (CFI=.65, RMSEA=.13), but good fit for the two-factor (CFI=.94, RMSEA=.05) and three-factor (CFI=.94, RMSEA=.06) models. The two-factor model was slightly better and recommended for use in this population.

1 min readUpdated Aug 15, 20260 RCTsView structured evidence →
Evidence Score32/100
Human RCT☆☆☆☆☆
Meta-analysis☆☆☆☆☆
Mechanism★★★★★
Safety★★★★
Confidencelow

This article is automatically generated from the structured evidence profile behind the claim above. Scores reflect the quality and quantity of available research, not clinical advice.

The PSQI demonstrates better psychometric performance as a multidimensional measure, particularly a two-factor structure, than as a single global score in young South African women. The current body of evidence comprises 1 study. EvidenceHub rates the overall confidence at 32/100 (low).

The Claim

The PSQI demonstrates better psychometric performance as a multidimensional measure, particularly a two-factor structure, than as a single global score in young South African women.

This conclusion is most relevant to: 7182 young women (mean age not specified) enrolled in the Bukhali trial in Soweto, South Africa.

What the Research Shows

The conclusion draws on 1 linked study. Highlights from the cited literature:

  • Psychometric evaluation of the Pittsburgh Sleep Quality Index among South African women participating in the Bukhali trial: Healthy Life Trajectories Initiative. (Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2026) —

How It Works

The proposed biological pathway:

  • PSQI items were administered via interviewer-administered surveys
  • Internal consistency assessed via Cronbach's alpha, McDonald's omega, item-total correlations
  • Confirmatory factor analysis tested one-, two-, and three-factor models
  • Two-factor model showed best fit, indicating multidimensional structure

Who Might Benefit

Evidence fit by population:

  • 7182 young women (mean age not specified) enrolled in the Bukhali trial in Soweto, South Africa

Limitations & Caveats

Important context when interpreting this evidence:

  • Cross-sectional design; no test-retest reliability assessed
  • Sample limited to young women in an urban South African setting, limiting generalizability
  • Interviewer-administered surveys may introduce social desirability bias

Frequently Asked Questions

What is the recommended way to score the PSQI in this population?

The two-factor model is recommended over the global score, as it showed better fit and provides more meaningful insight into sleep quality.

What were the main sleep problems in this cohort?

Sleep problems were driven by fragmented sleep and continuity disruptions rather than insufficient sleep opportunity, with average sleep of 7.8 hours but prolonged onset latency and high fragmentation.

How reliable was the PSQI in this study?

Internal consistency was modest with Cronbach's alpha and McDonald's omega both at .57, indicating lower reliability than typically desired.

What factors were associated with poor sleep quality?

Poor sleep quality was associated with higher household socioeconomic status, higher education, and single relationship status.

References

  1. 1.Alcock S, Beukes J, Hart C, Scheuermaier K, Lye SJ, Norris SA. “Psychometric evaluation of the Pittsburgh Sleep Quality Index among South African women participating in the Bukhali trial: Healthy Life Trajectories Initiative..” Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2026. PMID: 42547644 DOI: 10.1007/s44470-026-00146-z
Disclaimer: This article is auto-generated from structured research data for educational purposes only and is not medical advice. Evidence scores reflect the quality and quantity of available research, not clinical recommendations. Always consult a healthcare professional before starting any supplement or intervention.