Validation of the Korean Version of the Positive and Negative Sleep Appraisal Measure (PANSAM) as a Tool for Evaluating Dysfunctional Beliefs about Sleep among the General Population

Bang, Young Rong; Cho, Eulah; Ahmed, Oli; Lee, Joohee; Pearson, Lydia; Ahn, Junseok; Chung, Seockhoon

doi:10.3390/jcm11164672

Cited by 6 publications

(3 citation statements)

References 21 publications

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“…Furthermore, when using self-reported scales, the effect of scale validation on the results should be considered. Scales that have been validated in an appropriate population may be more appropriate for scientific research [[40]]. Researchers can also ask people around them, such as spouses, about sleep behaviors such as snoring.…”

Section: Discussionmentioning

confidence: 99%

Association between Sleep Factors and Parkinson’s Disease: A Prospective Study Based on 409,923 UK Biobank Participants

Chen¹,

Gao²,

Sun³

et al. 2023

Neuroepidemiology

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Introduction: Limited evidence indicates an association between sleep factors and the risk of Parkinson’s disease (PD). However, large prospective cohort studies including both sexes are needed to verify the association between daytime sleepiness, sleep duration, and PD risk. Furthermore, other sleep factors like chronotype and snoring and their impact on increased PD risk should be explored by simultaneously considering daytime sleepiness and snoring. Methods: This study included 409,923 participants from the UK Biobank. Data on five sleep factors (chronotype, sleep duration, sleeplessness/insomnia, snoring, and daytime sleepiness) were collected using a standard self-administered questionnaire. PD occurrence was identified using linkages with primary care, hospital admission, death register, or self-report. Cox proportional hazard models were used to investigate the association between sleep factors and PD risk. Subgroup (age and sex) and sensitivity analyses were performed. Results: During a median follow-up of 11.89 years, 2,158 incident PD cases were documented. The main association analysis showed that prolonged sleep duration (hazard ratio [HR]: 1.20, 95% confidence interval [CI]: 1.05, 1.37) and occasional daytime sleepiness (HR: 1.15, 95% CI: 1.04, 1.26) increased the PD risk. Compared to those who self-reported never or rarely having sleeplessness/insomnia, participants who reported usually having sleeplessness/insomnia had a decreased risk of PD (HR: 0.85, 95% CI: 0.75, 0.96). Subgroup analysis revealed that women who self-reported no snoring had a decreased PD risk (HR: 0.85; 95% CI: 0.73, 0.99). Sensitivity analyses indicated that the robustness of the results was affected by potential reverse causation and data completeness. Conclusion: Long sleep duration increased the PD risk, especially among men and participants ≥60 years, while snoring increased the risk of PD in women. Additional studies are needed to (i) further consider other sleep traits (e.g., rapid eye movement sleep behavior disorder and sleep apnea) that might be related to PD, (ii) objectively measure sleep-related exposure, and (iii) confirm the effects of snoring on PD risk by considering the impact of obstructive sleep apnea and investigating its underlying mechanisms.

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Section: Discussionmentioning

confidence: 99%

Association between Sleep Factors and Parkinson’s Disease: A Prospective Study Based on 409,923 UK Biobank Participants

Chen¹,

Gao²,

Sun³

et al. 2023

Neuroepidemiology

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“…We conducted a confirmatory factor analysis (CFA) for the ISI using samples collected from the general population of Korea between January 10 and 18, 2022 [ 14 ], to explore the association between dysfunctional beliefs about sleep and bedtime and total sleep time among the general population. All 400 panels registered in an online survey system of the professional survey company (EMBRAIN) responded to the survey which included questions on participant demographics (including age, sex, marital status, psychiatric history, and current psychiatric distress).…”

Section: Methodsmentioning

confidence: 99%

Psychometric Properties of the Insomnia Severity Index and Its Comparison With the Shortened Versions Among the General Population

Chung,

Ahmed,

Cho

et al. 2024

Psychiatry Investig

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Objective The aim of this study was to explore the psychometric properties of the Insomnia Severity Index (ISI) based on modern test theory, such as item response theory (IRT) and Rasch analysis, with shortened versions of the ISI among the general population.Methods We conducted two studies to evaluate the reliability and validity of the shortened versions of the ISI in a Korean population. In Study I, conducted via online survey, we performed an exploratory factor analysis (n=400). In Study II, confirmatory factor analysis (CFA) was conducted (n=400). IRT and Rasch analysis were performed on all samples. Participants symptoms were rated using the ISI, Dysfunctional Beliefs and Attitudes about Sleep–16 items, Dysfunctional Beliefs about Sleep–2 items, Patient Health Questionnaire–9 items, and discrepancy between desired time in bed and desired total sleep time.Results CFA showed a good fit for the 2-factor model of the ISI (comparative fit index=0.994, Tucker–Lewis index=0.990, root-meansquare-error of approximation=0.039, and standardized root-mean-square residual=0.046). The 3-item versions also showed a good fit for the model. All scales showed good internal consistency reliability. The scale information curve of the 2-item scale was similar to that of the full-scale ISI. The Rasch analysis outputs suggested a good model fit.Conclusion The shortened 2-factor ISI is a reliable and valid model for assessing the severity of insomnia in the Korean population. The results are needed to be explored further among the clinical sample of insomnia.

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“…This analysis is part of a previous study [9] (Institutional Review Board of the Asan Medical Center, 2021-1755), which was done via an anonymous online survey conducted between January 10 and 18, 2022. Participants' information on demographic characteristics and responses to rating scales were collected.…”

Section: Methodsmentioning

confidence: 99%

The Discrepancy-Cognitive Arousal Model of Insomnia Among the General Population

Chung,

Cho,

Lee

et al. 2023

Sleep Med Res

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Background and Objective We aimed to explore the Discrepancy-Cognitive Arousal model among the general population, applying the discrepancy between desired time in bed and desired total sleep time (DBST index), dysfunctional beliefs about sleep, and sleep-related metacognitive processes.Methods An anonymous online survey study was conducted among the general population between January 10 and 18, 2022. The survey form included a questionnaire for demographic characteristics and rating scales such as Insomnia Severity Index (ISI), Dysfunctional Beliefs and Attitudes about Sleep–16 items (DBAS-16), and Metacognition Questionnaire for Insomnia–14 items (MCQI-14). In addition, questions for measuring participants’ DBST index were included.Results A total of 374 participants’ responses were analyzed. The ISI score was predicted by the DBST index (β = 0.11, p = 0.008), DBAS-16 (β = 0.37, p < 0.001), and MCQI-14 (β = 0.30, p < 0.001) in the linear regression analysis. In the mediation model, the DBST index directly predicted insomnia severity, and dysfunctional beliefs about sleep and sleep-related metacognitive processes mediated this relationship.Conclusions We observed that the Discrepancy-Cognitive Arousal model of insomnia was feasible among the general population.

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Validation of the Korean Version of the Positive and Negative Sleep Appraisal Measure (PANSAM) as a Tool for Evaluating Dysfunctional Beliefs about Sleep among the General Population

Cited by 6 publications

References 21 publications

Association between Sleep Factors and Parkinson’s Disease: A Prospective Study Based on 409,923 UK Biobank Participants

Association between Sleep Factors and Parkinson’s Disease: A Prospective Study Based on 409,923 UK Biobank Participants

Psychometric Properties of the Insomnia Severity Index and Its Comparison With the Shortened Versions Among the General Population

The Discrepancy-Cognitive Arousal Model of Insomnia Among the General Population

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