Chien-Ming Yang

Summary Box: Sleep disturbance mediates the emotional and behavioural burden of allergic disease in preschool children. Embedding brief, structured sleep assessments into the standard clinical care of atopic children is recommended.

This study aimed to validate the Korean version of the sleep hygiene practice scale (SHPS-K) and determine its effectiveness in screening poor sleepers with insomnia. Online survey was conducted using translated SHPS in Korean, the Korean versions of the Pittsburgh Sleep Quality Index (PSQI-K), Insomnia Severity Index (ISI-K), and Epworth Sleepiness Scale (KESS) in a non-clinical population. The internal consistency and test-retest reliability of the SHPS-K were assessed using Cronbach's alpha and intraclass correlation coefficients (ICC), respectively. Construct validity was evaluated using correlation analyses with other questionnaires and confirmatory factor analysis. We determined the cutoff values that could identify poor sleepers with insomnia symptoms (PSQI-K > 5 and ISI-K ≥ 15) using receiver operating characteristic analysis. A total of 484 participants (242 women, mean age of 43.8 years) were enrolled. The average SHPS-K score was 71.2, with no significant sex differences. Women had poorer sleep scheduling and timing behaviors, and men had poorer eating and drinking behaviors. Good internal consistency (Cronbach's alpha = 0.88) and test-retest reliability (ICC = 0.80) were observed. The SHPS-K was positively correlated with the PSQI-K (r = 0.55), ISI-K (r = 0.54), and KESS (r = 0.42). A cutoff value of 73 identified poor sleepers with insomnia (area under the curve = 0.828). The SHPS-K is a reliable instrument for evaluating sleep hygiene in non-clinical Korean populations.

Objectives: With the promotion of sleep through education, an increasing recognition of the importance of sleep among the general public has been observed. However, whether this increased recognition affects sleep practices is unknown. To provide direction for future sleep education programs, this study aimed to explore the consistency between people’s prioritization of sleep among their daily life activities and their actual practice when sleep conflicts with other activities.Methods: The study was a cross-sectional online survey with 898 adults (male:female=372:526; age=39.74±10.04 years). The participants were asked to complete an online survey that required them to 1) rate how important sleep was; 2) prioritize daily life activities including sleep, work, family activities, leisure activities, social activities, and exercise; and 3) recall the actions they undertook at the most recent instance when sleep conflicted with each of the other activities.Results: Although 70.7% of the participants prioritized sleep by placing it in their top three daily life activities, only 35.7% and 38.1% chose to go to sleep when it conflicted with work and family activities, respectively. Gender and occupational factors also significantly influenced the discrepancy between sleep attitudes and practices.Conclusions: Our study demonstrated an inconsistency between reporting sleep as a priority in daily life activities and actual behavioral practices when sleep conflicted with other activities. The results suggest that sleep education should not only emphasize the importance of sleep but also provide practical solutions for circumstances when sleep conflicts with other activities.

Obstructive sleep apnea (OSA) is a risk factor for neurodegenerative diseases. This study determined whether continuous positive airway pressure (CPAP), which can alleviate OSA symptoms, can reduce neurochemical biomarker levels. Thirty patients with OSA and normal cognitive function were recruited and divided into the control (n = 10) and CPAP (n = 20) groups. Next, we examined their in-lab sleep data (polysomnography and CPAP titration), sleep-related questionnaire outcomes, and neurochemical biomarker levels at baseline and the 3-month follow-up. The paired t-test and Wilcoxon signed-rank test were used to examine changes. Analysis of covariance (ANCOVA) was performed to increase the robustness of outcomes. The Epworth Sleepiness Scale and Pittsburgh Sleep Quality Index scores were significantly decreased in the CPAP group. The mean levels of total tau (T-Tau), amyloid-beta-42 (Aβ₄₂), and the product of the two (Aβ₄₂ × T-Tau) increased considerably in the control group (ΔT-Tau: 2.31 pg/mL; ΔAβ₄₂: 0.58 pg/mL; ΔAβ₄₂ × T-Tau: 48.73 pg²/mL²), whereas the mean levels of T-Tau and the product of T-Tau and Aβ₄₂ decreased considerably in the CPAP group (ΔT-Tau: −2.22 pg/mL; ΔAβ₄₂ × T-Tau: −44.35 pg²/mL²). The results of ANCOVA with adjustment for age, sex, body mass index, baseline measurements, and apnea–hypopnea index demonstrated significant differences in neurochemical biomarker levels between the CPAP and control groups. The findings indicate that CPAP may reduce neurochemical biomarker levels by alleviating OSA symptoms.

Objectives: Emotion-related hyperarousal is an important core pathology of poor sleep. Studies investigating the interplay of alexithymia and affective experiences in determining sleep quality have yielded mixed results. To disentangle the inconsistency, this study examined the concurrent predictive power of alexithymia, and negative and positive affect, while incorporating interoceptive sensibility (IS) as a possible moderator. Methods: A sample of 224 (70.10% were female) participants completed the Toronto Alexithymia Scale, Positive and Negative Affect Schedule, Pittsburgh Sleep Quality Index, Multidimensional Assessment of Interoceptive Awareness (MAIA), and Marlowe‐Crowne Social Desirability Scale (for controlling response bias) using paper and pencil. A two-stage cluster analysis of the MAIA was used to capture IS characteristics. Stepwise regression was conducted separately for each IS cluster. Results: A three-group structure for IS characteristics was found. Higher alexithymia was predictive of poor sleep quality in the low IS group, while higher negative affect predicted poor sleep quality in the moderate and high IS groups. Additionally, alexithymia and positive affect were significantly different in the three IS groups, while negative affect and sleep quality were not. Conclusions: Emotion and cognitive arousal may impact sleep quality differently in individuals with different levels of internal focusing ability, depending on physiological versus emotional self-conceptualization. The implications on pathological research, clinical intervention, study limitations and future directions are discussed.

While long-term hypnotic use is very common in clinical practice, the associated factors have been understudied. This study aims to explore the cognitive factors that might influence the long-term use of hypnotics based on the theory of planned behavior (TPB), and examines the moderating effect of craving between cognitive intention and actual hypnotic-use behavior at follow-up. A total of 139 insomnia patients completed a self-constructed TPB questionnaire to measure their attitude, subjective norm, perceived behavioral control, and behavioral intention of hypnotic use, as well as the Hypnotic-Use Urge Scale (HUS) to measure their craving for hypnotics. They were then contacted through phone approximately three months later to assess their hypnotic use. Hierarchical regression showed that perceived behavioral control was the most significant determinant for behavioral intention of hypnotic use. Behavioral intention, in turn, can predict the frequency of hypnotic use after three months. However, this association was moderated by hypnotic craving. The association was lower among the participants with higher cravings for hypnotic use. The findings suggest that the patients’ beliefs about their control over sleep and daily life situations, and their craving for hypnotics should be taken into consideration in the management of hypnotic use.

Purpose We conducted an exploratory study to identify risk factors of dropout in an 8-week e-mail-based cognitive-behavioral therapy for insomnia (REFRESH) to improve sleep among university students with insomnia symptoms. Methods University and graduate students in Hong Kong and Korea who scored higher than 10 on the Insomnia Severity Index participated in REFRESH. Results Of 158 participants from Hong Kong (n = 43) and Korea (n = 115), 90 (57%) did not complete all 7 sessions, while 52 of 90 (57.8%) dropped out prior to the fourth session. ROC analysis was conducted on the entire sample of 158 participants with intervention completion vs. dropout (non-completion) as the outcome variable. Predictors of dropout were wake time after sleep onset (WASO) < 7.1 min on the weekly sleep diary and expectations for sleep (a subscale of dysfunctional beliefs and attitudes about sleep; DBAS) < 18 at baseline. Conclusions These findings indicate that shorter WASO and less expectations for sleep at baseline were associated with risk of dropout from e-mail delivered self-help CBT-I-based intervention. Our results highlight the importance of identifying and tailoring treatment formats to students based on their presenting sleep characteristics.

This study examined whether cognitive behavioral therapy (CBT) for insomnia (CBT-I) improved insomnia severity, by changing sleep-related mediating factors. It also examined whether an improvement in insomnia led to enhanced mental health. This study was a secondary analysis of a randomized controlled trial of e-mail-delivered CBT-I for young adults with insomnia. The participants were randomized to either CBT-I or self-monitoring. The mental health-related measures were depression, anxiety, and stress. The sleep-related mediating factors were sleep hygiene practices, dysfunctional beliefs, sleep reactivity, and pre-sleep arousal. A total of 41 participants, who completed all the sessions (71% females; mean age 19.71 ± 1.98 years), were included in the analysis. The hierarchical multiple regression analysis showed that 53% of the variance in the improvements in insomnia severity was explained by the treatment group (β = −0.53; ΔR² = 0.25; p < 0.01) and the changes in sleep reactivity (β = 0.39; ΔR² = 0.28; p < 0.05). Moreover, the mediation analysis showed that the reductions in depression and stress were explained by the changes in insomnia severity; however, anxiety symptoms were not reduced. CBT-I for young adults suggested that sleep reactivity is a significant mediator that reduces insomnia severity, and that the alleviation and prevention of depression and stress would occur with the improvement in insomnia.