Association of Nighttime Sleep Duration with Depressive Symptoms and Its Interaction with Regular Physical Activity among Chinese Adolescent Girls

Influence of circadian rhythm and sleep schedules on depressive symptoms among adolescents in China

Circadian rhythm (24-hour period of physiological and behavioral changes) is the basis of the overall health, including mood and health. This study aimed to explore the influence of circadian rhythm and sleep schedules on depressive symptoms in Chinese adolescents. In this cross-sectional study, 841 middle school students were recruited and divided into two groups (depressive group, DG, n = 210, and control group, n = 631) depending on the total score of The Center for Epidemiological Studies Depression Scale for Children (CES-DC). The circadian rhythm and sleep quality among adolescents were evaluated by using the Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN) and Self-rating scale of Sleep (SRSS) scales. Furthermore, correlation analysis and logistic regression analysis were used to determine the effects of demographic factors, sleeping arrangement, sleep quality, and circadian rhythm on depressive symptoms. The DG group's CES-DC, BRIAN and SRSS scores were significantly higher than the control group's. Higher scores of BRIAN and SRSS were risk factors for depressive symptoms in Chinese adolescents. Attending a day school and waking up later on weekends may be weak protective factors. Our results suggest that circadian rhythm disturbance, sleep quality, and sleeping arrangement have a significant influence on depressive symptoms among adolescents in China.

Independent and Joint Associations of Physical Activity and Sleep on Mental Health Among a Global Sample of 200,743 Adults

BACKGROUND

Previous research has demonstrated that both sleep and physical activity (PA) are independently associated with various indicators of mental health among adults. However, their joint contribution to mental health has received limited attention. The present study used cross-sectional data from the Mental Health Million Project to examine the independent and joint effects of sleep and PA on mental health among a global sample of adults, and whether these effects differ among individuals receiving mental health treatment.

METHOD

The sample included 200,743 participants (33.1% young adults, 45.6% middle-aged adults, 21.3% older adults; 57.6% females, 0.9% other) from 213 countries, territories, and archipelagos worldwide that completed a comprehensive 47-item assessment of mental health including both problems (i.e., ill-being) and assets (i.e., well-being): the Mental Health Quotient. Participants also reported their weekly frequency of PA and adequate sleep, and mental health treatment status. A series of generalized linear mixed models were computed.

RESULTS

Independent dose-response associations were observed, whereby greater amounts of PA and adequate sleep were each associated with better mental health. In addition, a synergistic interaction was observed in which the positive correlation of PA with mental health was strengthened with greater frequency of adequate sleep. These benefits were less pronounced among adults receiving mental health treatment.

CONCLUSION

While findings suggest sleep can help to offset the negative influence of a physically inactive lifestyle (and vice versa), our results point to a "more is better" approach for both behaviors when it comes to promoting mental health.

Sleep duration is associated with depressive symptoms in Chinese adolescents

BACKGROUND

Depressive symptoms have become one of the most common mental health problems in adolescents. Identifying potential factors associated with adolescent depressive symptoms could be practical and essential for early intervention programs. The association between sleep duration and depressive symptoms in adolescents is inconsistent and needs further exploration.

METHODS

A total of 7330 participants aged 10-19 years were included in this study. Sleep duration was categorized into <7 h, 7-8 h, 8-9 h, and ≥ 9 h per day. The Chinese version of the Center for Epidemiology Scale for Depression was used to assess depressive symptoms. Binary logistic regression analysis was performed to evaluate the association between sleep duration and the risk of depressive symptoms. Restrictive cubic spline analyses were conducted to evaluate the dose-response relationship between sleep duration and depressive symptoms.

RESULTS

Thirty-four percent of the participants suffered from depressive symptoms. The prevalence of depressive symptoms in adolescents with sleep durations of <7 h, 7-8 h, 8-9 h, and ≥9 h per day was 52.66 %, 37.80 %, 27.55 %, and 20.49 %, respectively. After adjusting for potential covariates, long sleep duration was significantly associated with a decreased risk of depressive symptoms in adolescents. A nonlinear relationship between sleep duration and depressive symptoms was identified.

CONCLUSIONS

Long sleep duration is independently associated with a decreased risk of depressive symptoms in Chinese adolescents.

Prevalence and risk factors for depressive and anxiety symptoms in middle-aged Chinese women: a community-based cross-sectional study

Background

Depression and anxiety have become main public health concerns globally. However, risk factors for depression and anxiety remain unclear. This study was to examine the prevalence and risk factors of depressive and anxiety symptoms in middle-aged Chinese women.

Methods

This cross-sectional study, conducted in 2018, included 7,727 women aged 40–60 years from the eastern, central and western regions of China. Depressive and anxiety symptoms were determined by the Patient Health Questionnaire-9 and the Generalized Anxiety Disorders-7, respectively. Logistic regression models were used to estimate odds ratios (ORs) for depressive and anxiety symptoms in relation to sociodemographic, lifestyle and menopausal factors.

Results

Among all participants, 19.5% (1 422/7 275) and 14.2% (1 035/7 275) of participants experienced depressive and anxiety symptoms, respectively. The multivariable logistic regression models showed that age, household income, regular physical activity, chronic diseases, menopausal status, vasomotor symptoms, somatic symptoms and urogenital symptoms were associated with depressive symptoms, while place of residence, regular physical activity, chronic diseases, vasomotor, somatic and urogenital symptoms were associated with anxiety symptoms.

Conclusion

Depressive and anxiety symptoms were common among middle-aged Chinese women, and certain sociodemographic, lifestyle and menopausal symptoms have an important impact on the risk of depressive and anxiety symptoms.