2018
DOI: 10.1093/sleep/zsy066
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Factor structure and psychometric properties of the Pittsburgh Sleep Quality Index in community-based adolescents

Abstract: The findings validate the single-factor scoring structure of the PSQI in an adolescent sample and highlight important covariation between poor sleep duration, efficiency, and latency in this age group. Further validation studies are required to determine an appropriate PSQI clinical cut-off score for adolescents.

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Cited by 129 publications
(122 citation statements)
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References 78 publications
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“…Since PSQI may be comprised of multiple dimensions, a good understanding of its factor structure in patients with OS can benefit further clinical application. The best factor structure of PSQI varies among previous studies (Koh, Lim, Chia, & Lim, ; Qiu et al, ; Raniti, Waloszek, Schwartz, Allen, & Trinder, ; de la Vega et al, ), probably due to divergent diagnosis of the subjects, inconsistent statistical methodology and different country of origin. Many studies supported a two‐factor solution, which can be more representative of the PSQI's scale structure than other models (Guo et al, ; Qiu et al, ).…”
Section: Discussionmentioning
confidence: 88%
See 1 more Smart Citation
“…Since PSQI may be comprised of multiple dimensions, a good understanding of its factor structure in patients with OS can benefit further clinical application. The best factor structure of PSQI varies among previous studies (Koh, Lim, Chia, & Lim, ; Qiu et al, ; Raniti, Waloszek, Schwartz, Allen, & Trinder, ; de la Vega et al, ), probably due to divergent diagnosis of the subjects, inconsistent statistical methodology and different country of origin. Many studies supported a two‐factor solution, which can be more representative of the PSQI's scale structure than other models (Guo et al, ; Qiu et al, ).…”
Section: Discussionmentioning
confidence: 88%
“…Since PSQI may be comprised of multiple dimensions, a good understanding of its factor structure in patients with OS can benefit TA B L E 4 The relationship between the 7 components of PSQI and the global score of MAF further clinical application. The best factor structure of PSQI varies among previous studies (Koh, Lim, Chia, & Lim, 2015;Qiu et al, 2016;Raniti, Waloszek, Schwartz, Allen, & Trinder, 2018;de la Vega et al, 2015), probably due to divergent diagnosis of the subjects, inconsistent statistical methodology and different country of origin.…”
Section: Discussionmentioning
confidence: 94%
“…32 Model Chi-square test P values of >0.05 indicate good fit. 33 We studied construct validity by correlating ASAS HI scores with scores of the comparator PROMs and using Spearman's rank correlation coefficients to assess the associations. High (r = 0.5-0.8) and moderate correlation coefficients (r = 0.3-0.5) suggest that the scores from 2 PROMs are correlated, whereas low correlation coefficients (r ≤ 0.3) suggest that the PROMs are measuring different constructs.…”
Section: Discussionmentioning
confidence: 99%
“…Comparative fit index (CFI) > 0.95, Tucker‐Lewis Index (TLI) > 0.95, root mean square error of approximation (RMSEA) < 0.06 and standardized root mean residuals (SRMR) < 0.08 are indicative of good fit . Model Chi‐square test P values of >0.05 indicate good fit …”
Section: Methodsmentioning
confidence: 99%
“…This item will allow the assessment of the prevalence of self-harm and its frequency. The PSQI has demonstrated acceptable to good internal homogeneity, test-retest reliability and convergent validity across studies (60)(61)(62).…”
Section: Self-harm Questionnairementioning
confidence: 98%