Purpose <p>This study aimed to validate the Korean version of the Sleep Health Index (K-SHI) using both self-report measures and objective sleep indices from wearable devices.</p> Methods <p>A total of 204 adults (mean age 30.35 ± 9.76 years, 64.71% female) were recruited and categorized into insomnia and good sleeper groups. Participants completed the K-SHI, the Insomnia Severity Index (ISI) and the Pittsburgh Sleep Quality Index (PSQI). Objective sleep indices were collected using a wearable device (Fitbit Inspire 3) for 4 weeks. Confirmatory factor analysis (CFA), and analyses for internal consistency, test-retest reliability, and convergent validity, and group comparisons were conducted.</p> Results <p>CFA supported a three-factor model (<i>x</i><sup>2</sup> = 78.51(<i>df</i> = 52, <i>p</i> &lt; .01), CFI = 0.963, TLI = 0.952, RMSEA = 0.050, SRMR = 0.049). The K-SHI showed adequate internal consistency (Cronbach’s α = 0.766) and test-retest reliability (<i>r</i> = .871, <i>p</i> &lt; .001). The K-SHI total score was significantly associated with ISI (<i>r</i> = − .545, <i>p</i> &lt; .001) and PSQI (<i>r</i> = − .564, <i>p</i> &lt; .001). When correlated with the wearable device, the K-SHI sleep duration subindex was significantly associated with mean total sleep time (<i>r</i> = .170, <i>p</i> &lt; .05), mean sleep onset (<i>r</i> = − .147, <i>p</i> &lt; .05), and total sleep time standard deviation (<i>r</i> = − .168, <i>p</i> &lt; .05). Additionally, the K-SHI total score was associated with mean wake time (<i>r</i> = .160, <i>p</i> &lt; .05) and total sleep time standard deviation (<i>r</i> = − .171, <i>p</i> &lt; .05). The K-SHI total score significantly differentiated the insomnia and good sleeper groups, with notable differences in K-SHI sleep duration and sleep quality subindices, but no significant difference in the K-SHI disordered sleep subindex.</p> Conclusions <p>These results demonstrate the validity and reliability of the K-SHI, incorporating both subjective self-report measures and objective sleep data from wearable devices.</p>

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The reliability and validity of the Korean version of the sleep health index using self-report measures and wearable-derived sleep metrics

  • Ah-Yeon Kim,
  • Chul-Hyun Cho,
  • Sooyeon Suh

摘要

Purpose

This study aimed to validate the Korean version of the Sleep Health Index (K-SHI) using both self-report measures and objective sleep indices from wearable devices.

Methods

A total of 204 adults (mean age 30.35 ± 9.76 years, 64.71% female) were recruited and categorized into insomnia and good sleeper groups. Participants completed the K-SHI, the Insomnia Severity Index (ISI) and the Pittsburgh Sleep Quality Index (PSQI). Objective sleep indices were collected using a wearable device (Fitbit Inspire 3) for 4 weeks. Confirmatory factor analysis (CFA), and analyses for internal consistency, test-retest reliability, and convergent validity, and group comparisons were conducted.

Results

CFA supported a three-factor model (x2 = 78.51(df = 52, p < .01), CFI = 0.963, TLI = 0.952, RMSEA = 0.050, SRMR = 0.049). The K-SHI showed adequate internal consistency (Cronbach’s α = 0.766) and test-retest reliability (r = .871, p < .001). The K-SHI total score was significantly associated with ISI (r = − .545, p < .001) and PSQI (r = − .564, p < .001). When correlated with the wearable device, the K-SHI sleep duration subindex was significantly associated with mean total sleep time (r = .170, p < .05), mean sleep onset (r = − .147, p < .05), and total sleep time standard deviation (r = − .168, p < .05). Additionally, the K-SHI total score was associated with mean wake time (r = .160, p < .05) and total sleep time standard deviation (r = − .171, p < .05). The K-SHI total score significantly differentiated the insomnia and good sleeper groups, with notable differences in K-SHI sleep duration and sleep quality subindices, but no significant difference in the K-SHI disordered sleep subindex.

Conclusions

These results demonstrate the validity and reliability of the K-SHI, incorporating both subjective self-report measures and objective sleep data from wearable devices.