Increased digital media use is associated with sleep problems among university students: A study during the COVID-19 pandemic in Japan.

This retrospective cohort study investigates the association between the incidence of sleep problems and changes in digital media use among university students during the COVID-19 pandemic. It used data from annual health check-ups performed at a Japanese university in 2019 and 2020. Students undergoing these check-ups were identified to respond to questions about sleep problems, digital media use, breakfast and exercise habits, and stress. In total, 3,869 students were included in the analysis. The association between the incidence of sleep problems in 2020 and the changes in digital media use between 2019 and 2020 was assessed using logistic regression models. The rate of long digital media use (≥ 2 hours) in 2019 was 42.6%, while in 2020 it was 53.6%. Incidence of sleep problems was observed in 244 students (6.3%) in 2020. There were 786 students (20.3%) who used digital media for ≤ 2 h in 2019 and ≥ 2 h in 2020. From the sample, 66 students (8.4%) reported incidence of sleep problems in 2020. Additionally, those respondents who specifically reported increased digital media use between 2019 and 2020 (increased use) where at greater risk (OR: 1.76; 95% CI: 1.21, 2.55) of reporting sleep problems in 2020, even after controlling for other study variables. Thus, this study provides evidence that the incidence of sleep problems has had a significant association with an increase in digital media use among university students throughout the COVID-19 pandemic. These findings highlight the importance of ensuring appropriate digital media use among students for improved quality of sleep.

Association of weekday-to-weekend sleep differences and stress response among a Japanese working population: a cross-sectional study.

OBJECTIVES: To investigate the relationship between differences in weekday-to-weekend sleep habits and stress responses in a working population. METHODS: This cross-sectional study used data from university workers on sleep habits, differences in sleep duration between weekdays and weekends, and each midpoint of the sleep phase on weekdays and weekends. Social jetlag was defined as the difference in the midpoint of the sleep phase between weekdays and weekends. In addition, the Brief Job Stress Questionnaire assessed stress responses and stress-related factors. To examine sleep-related factors affecting stress responses, regression analysis was performed with adjustments for age, sex, and stress-related factors. RESULTS: Analyzed were 2,739 participants. Sleep duration differences obtained by subtracting sleep duration on weekdays from that on weekends, social jetlag, and weekday sleep duration were significantly associated with an increased risk of stress responses in a univariate linear regression model. Adjusting for age, sex, job stressors, and stressor buffering factors did not change this trend. However, when additionally adjusting for all sleep parameters, only sleep duration differences and weekday sleep duration were significantly associated with stress responses (ß 0.67 [95% CI 0.24, 1.10], p = 0.002), (-0.66 [-1.20, -0.13], p = 0.015). CONCLUSIONS: This study provided further evidence that weekday sleep duration and weekday-to-weekend sleep duration differences were independently associated with stress responses even when considering stress-related factors. However, social jetlag was not clearly associated with stress responses. Our findings highlighted the necessity of securing sufficient sleep for stress management and mental health promotion in a working population.

Factors that influence psychiatric help-seeking behavior in Japanese university students.

We investigated the periods from symptom onset to the first visit to the psychiatric consultation and the factors that influence psychiatric help-seeking behavior in university students. Students who first visited the psychiatric department of university health care center were the study participants. We surveyed the elicited information such as age, sex, period from symptom onset to the first visit, main symptoms, General Health Questionnaire GHQ-12, and perception of stigma associated with receiving a psychiatric consultation. We analyzed the factors affecting the duration until a psychiatric consultation was made using logistic regression analysis, examining age, sex, contents of the problem, GHQ-12, and stigma as independent variables. Of the participants, 48.2 % did not consult with a psychiatrist for more than 6 months and 51 participants (36.7 %) took more than a year before a consultation. We divided the study participants into two groups: early examinees and delayed examinees. In order to investigate the factors affecting the two groups, logistic regression analysis was performed. Of the independent variables, one consultation content (physical symptoms; odds ratio (OR) = 9.21, 95 % CI (confidence interval) = 2.00-42.62, p = 0.004) and the GHQ-12 (OR = 1.17, 95 % CI = 1.05-1.31, p = 0.005) were significant factors. It became clear that physical symptoms significantly accelerated consultation with psychiatry. When various problems occurred, the decision to seek a psychiatry consultation required a long time. Health education focusing on the values of seeking an early consultation is required so that when students have mental health problems they will seek psychiatric services in a timely manner.