Depression and Anxiety Mediate the Association between Sleep Quality and Self-Rated Health in Healthcare Students.

OBJECTIVES: This study aimed to investigate factors associated with sleep quality in healthcare students and to determine whether depressive and anxiety symptoms may explain some of the associations between sleep quality and self-rated health. STUDY DESIGN: This is a cross-sectional study at wave one. METHODS: A total of 637 healthcare students were recruited via a stratified random sampling method in Hangzhou, China. The Sleep Quality Questionnaire (SQQ) and the four-item Patient Health Questionnaire (PHQ-4) were used to assess sleep quality and depressive and anxiety symptoms, respectively. Self-rated health was assessed via a self-developed questionnaire of both physical and psychological health. Structural equation modeling was used to examine the direct and indirect effects of sleep quality on self-rated health through depressive and anxiety symptoms. RESULTS: Students engaged in part-time employment (p = 0.022), with poor perceived employment prospects (p = 0.009), and who did not participate in recreational sports (p = 0.008) had worse sleep quality. Structural equation modeling revealed a significant total effect of sleep quality on self-rated health (b = 0.592, p < 0.001), a significant direct effect of both sleep quality and depressive and anxiety symptoms on self-rated health (b = 0.277, 95% CI: 0.032-0.522), and a significant indirect effect of sleep quality on self-rated health through depressive and anxiety symptoms (b = 0.315, 95% CI: 0.174-0.457). CONCLUSIONS: Depressive and anxiety symptoms partially explain the association between sleep quality and self-rated health. Intervening upon sleep quality, depressive, and anxiety symptoms may bolster the self-rated health of healthcare students.

Daily concordance between ecological stressors and sleep in young minority children during the pre-COVID-19 outbreak period.

Objective: As the COVID-19 pandemic brings widespread changes in families, the sociology of sleep becomes noticeable. Yet, the socio-contextual determinants of a biopsychosocial phenomenon as sleep are poorly investigated. We examine changes concomitantly occurring in the child's sleep per familial and community stressors. Methods: During the pre-COVID-19 outbreak period, in 24 minority children (5.4 ± 1.7 years old, 54.2% girls), sleep was objectively measured 24 h for two consecutive weeks, and this was repeated three times over the study period of three months. The caregiver filled out questionnaires surveying sociodemographic, community and family aspects. Results: Children went to bed at 22:26 and woke up at 07:04, with each a variability of about 50 min. Money and time were revealed as related key stressors to sleep. Five dimensions best fitted their association. In general, concurrent changes within the individual child indicate that mean sleep variables seem to relate to predominantly features of the stressors (explained variance of 34.7 to 56.7%), while variability of sleep tends to associate to situational aspects of the stressors (explained variance of 30.4 to 61.8%). Associations were best explained in terms of the 24 h dimension, particularly exposing sleep variability. Conclusion: Individual variabilities in a child's sleep are associated with familial resources, such as caregiver's time to self, money and basic needs. Time spent in bed, a modifiable factor by society and shaper of sleep quantity and quality, plays a key role in stressor-sleep associations. Insights from biopsychosocial perspectives may be valuable for understanding COVID-19 sleep studies, and the development of (post-) COVID-19 sleep recommendations.

Changes in sleep patterns and disturbances in children and adolescents in Italy during the Covid-19 outbreak.

OBJECTIVE: To examine the impact of home confinement during the COVID-19 pandemic on the sleep patterns and sleep disturbances in Italian children and adolescents. METHODS: Participants completed an anonymous online survey, shared via social media and targeting children and adolescents aged 1-18 years, subdivided into age groups: 1-3, 4-5, 6-12, and 13-18 years. Caregivers completed a modified version of the Sleep Disturbance Scale for Children (SDSC), along with demographic information. RESULTS: The final sample consisted of 4314 subjects: 2217 males (50.4%) and 2097 females (49.6%). Age group distribution was: 1-3 years 1263 (29.3%), 4-5 years 893 (20.7%), 6-12 years 1848 (42.8%) and 13-18 years 310 (7.2%). We found a significant delay in bedtime and risetime in all age groups. School-age children and adolescents experienced the most significant delay: weekday bedtime ≥23 was reported by 28.4% of 6- to 12-year-old children during lockdown vs. 0.9% before and by 63.5% vs. 12.3% of 13- to 18-year-old adolescents. Risetime was also delayed with most subjects waking up after 8 in all age groups and sleep duration increased in all groups but not in the younger group. The screen time (excluding online lessons) boosted during the lockdown, mainly in older children but also in younger children. Sleep disorders increased in all groups but not in adolescents. Younger groups had an increased prevalence of difficulty falling asleep, anxiety at bedtime, night awakenings, nightmares and sleep terrors. CONCLUSION: Our study demonstrates that confinement due to COVID-19 determined a big delay in sleep/wake schedule of children in all age groups as well as an increase of sleep disturbances in all groups but adolescents.