Sleep, social media use and mental health in female adolescents aged 12 to 18 years old during the COVID-19 pandemic.

BACKGROUND: Adolescents with high social media (SM) use experienced poor sleep quality and high anxiety and depression levels. The study aimed to investigate the characteristics of sleep, use of SM, mental health in female aged 12 to 18 years old, and to assess the association between poor sleep, SM usage, and mental health. METHODS: In total, 219 Thai female adolescents were recruited between December 2019 and September 2020 and completed self-administrative questionnaires three periods of time (baseline, 3 months and 6 months later). The questionnaires included: the Pittsburgh Sleep Quality Index (PSQI), depression screening (PHQ-9), Screen for Child Anxiety Related Emotional Disorders (SCARED). Demographic and use of social media data were also included. Cochran's Q test, correlation coefficient, and binary logistic regression were performed. RESULTS: Participants' mean age was 14.52 (range 12-17) years. Average Thai-PSQI global scores did not differ during 3 periods (p = 0.13) but average time of sleep latency, sleep duration, and SM usage were significant different (p = 0.002, p = 0.001, and p = < 0.001, respectively). There were positive correlations between PSQI scores and total SM usage at baseline (r = 0.14; P < 0.05) and 6 months (r = 0.20; P < 0.05). Anxiety, depression, and self-perception of poor sleep were significantly related to poor sleep quality during the 3 periods. After adjusting for confounding factors, depression and self-reported poor sleep were the only significant factors predicting poor sleep quality. CONCLUSIONS: Poor sleep was associated with SM usage, depression, and anxiety in this population. Time-limited SM usage should be implemented for Thai female adolescents to improve sleep-related outcomes.

Cyberbullying Among Adolescents with Chronic Illnesses in Thailand: Prevalence and Relationship with Health-Risk Behaviors.

BACKGROUND: The use of social media may enhance the quality of life in adolescents living with chronic illnesses but may increase the risk of cyberbullying. OBJECTIVE: The aim of this study was to estimate the prevalence of cyberbullying among adolescents with chronic illnesses and relationship with health-risk behaviors. METHODS: This is an online survey of randomly recruited adolescents aged 11 to 18 years with chronic illness managed at Siriraj Hospital, Thailand, during 2019 to 2020. Participants were asked to respond anonymously to validated online questionnaires to evaluate health-risk behaviors, experience with cyberbullying, and depression-screening questions. RESULTS: Three hundred forty-one participants with a mean age of 15.02 ± 2.17 years (interquartile range 12.8, 17.2) responded. Reported risk behaviors included sexual activity in 42 participants (12.3%) with almost half (47.6%) having practiced unsafe sex. Alcohol drinking and polysubstance use were also found in 8.5% and 1.2%, respectively. 38 (11.1%) felt depressed within the previous 2-week period. 56 (16.4%) had been a cyberbully victim. Among the victims, 25 (44.6%) were also cyberbullies themselves. Chronically ill adolescents were more likely to be a victim of cyberbullying if they knew someone who had also been a victim (adjusted odds ratio [aOR] 5.25 [95% confidence interval [CI] = 1.80-15.29], p < 0.001) or had a positive depression screening (aOR 6.182 [95% CI = 2.41-15.85], p < 0.001). Underlying diseases, age, sex, risky behaviors, and time spent online were not associated with being cyberbullied. CONCLUSION: Thai adolescents with chronic illness were similar to their healthy peers regarding health-risk behaviors and the likelihood of being a victim of cyberbullying. Screening for risky behaviors, evidence of depression, and online activity during routine medical visits was an opportunity to prevent cyberbullying.