The Associations between Sleep Duration, Academic Pressure, and Depressive Symptoms among Chinese Adolescents: Results from China Family Panel Studies

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.

A latent class analysis of depressive symptoms among rural Chinese adolescents and their association with psychological resilience

Numerous studies have demonstrated the heterogeneity of depressive symptoms, but few studies have focused on the heterogeneity of depressive symptoms among rural Chinese adolescents. In November to December 2022, multistage sampling was employed to administer questionnaires to 1,816 rural adolescents aged 11-19 years from six schools in Henan Province, China. Depressive symptoms were measured using the Chinese version of the Children's Depression Inventory Scale. Latent class analysis (LCA) was utilized to identify subgroups of depressive symptoms. The investigation of subgroup characteristics and associated factors was conducted through χ2 tests, ANOVA, and multinomial logistic regression analyses. The findings revealed a 24.24 % detection rate of depressive symptoms among Chinese rural adolescents. LCA analysis of responses to the 27 items in the Depressive Symptoms Scale led to the classification of depressive symptoms into four subgroups based on severity: "no depressive symptoms group" (22.5 %), a "low depressive symptoms group" (35.7 %), a "transition group" (31.6 %), and a "high depressive symptoms group" (10.2 %). Gender, grade level, academic performance, academic stress, family environment, and level of psychological resilience are associated factors for subgroups of depressive symptoms among rural adolescents. There should be increased training of rural educators to enable early recognition of depressive characteristics and risk factors, facilitating targeted prevention and intervention strategies.

Facebook addiction and sleep problems in peruvian university students after the COVID-19 pandemic

Background

During the COVID-19 pandemic, studies have reported an increase in sleep problems and problematic use of social media platforms such as Facebook among university students. This study assessed Facebook addiction and sleep problems among Peruvian university students following the COVID-19 pandemic, as well as the factors associated with these issues.

Methods

A cross-sectional study was conducted with a sample of 352 participants from different regions of Peru. The Jenkins Sleep Scale (JSS-4) and the Bergen Facebook Addiction Scale (BFAS) were used to assess sleep problems and Facebook addiction, respectively. Prevalence ratios (PR) were calculated using a simple Poisson regression with robust variance.

Results

The study found that 16.2 % of the participants were addicted to Facebook and 12.5 % reported sleep problems. The results also showed that older age (PR: 0.99; 95 % CI: 0.98-0.99) and physical activity (PR: 0.81; 95 % CI: 0.70-0.94) were associated with a lower likelihood of having sleep problems, while being physically active (PR: 0.55; 95 % CI: 0.33 to 0.90) was associated with a lower probability of having Facebook addiction problems.

Conclusions

The Peruvian university students who participated in this study reported sleep problems in one-eighth of the sample, and one in six university students reported Facebook addiction problems. The frequency of presenting Facebook addiction and sleep problems was lower in those with older age and engaging in physical activity.

Using digital phenotyping to capture depression symptom variability: detecting naturalistic variability in depression symptoms across one year using passively collected wearable movement and sleep data

Major Depressive Disorder (MDD) presents considerable challenges to diagnosis and management due to symptom variability across time. Only recent work has highlighted the clinical implications for interrogating depression symptom variability. Thus, the present work investigates how sociodemographic, comorbidity, movement, and sleep data is associated with long-term depression symptom variability. Participant information included (N = 939) baseline sociodemographic and comorbidity data, longitudinal, passively collected wearable data, and Patient Health Questionnaire-9 (PHQ-9) scores collected over 12 months. An ensemble machine learning approach was used to detect long-term depression symptom variability via: (i) a domain-driven feature selection approach and (ii) an exhaustive feature-inclusion approach. SHapley Additive exPlanations (SHAP) were used to interrogate variable importance and directionality. The composite domain-driven and exhaustive inclusion models were both capable of moderately detecting long-term depression symptom variability (r = 0.33 and r = 0.39, respectively). Our results indicate the incremental predictive validity of sociodemographic, comorbidity, and passively collected wearable movement and sleep data in detecting long-term depression symptom variability.

Suprachiasmatic nucleus functional connectivity related to insomnia symptoms in adolescents with major depressive disorder

Background

Insomnia is a commonly seen symptom in adolescents with major depressive disorder (MDD). The suprachiasmatic nucleus (SCN), which is the circadian rhythm regulation center, plays a crucial role in the regulation of sleep-wake circulation. Nevertheless, how SCN function contributes to the exact neural mechanisms underlying the associations between insomnia and depressive symptoms has not been explored in adolescents. In the current study, we aimed to explore the relationship between SCN functional connectivity (FC) and insomnia symptoms in adolescents with MDD using a seed-based FC method.

Methods

In the current study, we recruited sixty-eight first-episode drug-naïve adolescents with MDD and classified them into high insomnia (MDD-HI) and low insomnia (MDD-LI) groups according to the sleep disturbance subscale of the Hamilton Depression Rating Scale (HAMD-S). Forty-three age/gender-matched healthy controls (HCs) were also recruited. SCN FC maps were generally for all subjects and compared among three groups using one-way ANOVA with age, gender and adjusted HAMD score as covariates. We used partial correlations to explore associations between altered FC and clinical symptoms, including sleep quality scores.

Results

Adolescents with MDD showed worse sleep quality, which positively correlated with the severity of depression. Compared to MDD-LI and HCs, MDD-HI adolescents demonstrated significantly decreased FC between the right SCN and bilateral precuneus, and there was no significant difference between the MDD-LI and HC groups. The HAMD-S scores were negatively correlated with bilateral SCN-precuneus connectivity, and the retardation factor score of HAMD was negatively correlated with right SCN-precuneus connectivity.

Conclusion

The altered FC between the SCN and precuneus may underline the neural mechanism of sleep-related symptoms in depressive adolescents and provide potential targets for personalized treatment strategies.

Association between depression status in adolescents and cognitive performance over the subsequent six years: A longitudinal study

BACKGROUND

Adolescent depression is a common mental health problem and is sometimes associated with cognitive impairments. However, existing research regarding the association between depression status in adolescents and cognitive performance over the subsequent years is relatively paucity.

METHODS

The present study used longitudinal data from four waves (2012, 2014, 2016, and 2018) of the China Family Panel Studies (CFPS) to explore the associations between adolescent depression status in 2012 and cognitive performance (measured by immediate word recall, delayed word recall, number series tests, mathematics, and vocabulary) over the subsequent years. A total of 1055 (51.72 %), 1115 (54.66 %), and 879 (43.09 %) of the 2040 adolescents identified in 2012 were followed up in 2014, 2016, and 2018, respectively.

RESULTS

We found that adolescent depression status consistently showed a negative association with cognitive performance at the measurement points over six years. The associations were retained for most cognitive outcomes after controlling for a variety of confounding factors (adolescents, parental, and family characteristics).

CONCLUSIONS

The findings of this study provide more evidence of the association between depression status in adolescents and cognitive performance. Additionally, it highlights the importance of focusing on cognitive impairment in patients with depression more broadly, especially during adolescence, a critical period for cognitive development.

Associations between 24-h movement behaviours and BMI in Chinese primary- and middle- school students

Purposes

This cross-sectional study aimed to examine the associations between the 24-h movement behaviours and body mass index (BMI) of students from China by using compositional data analysis.

Methods

A total of 389 students aged 6-16 years participated in this study. Accelerometers were used to measure moderate-to-vigorous physical activity (MVPA), light-intensity physical activity (LPA), sedentary behaviour (SED), and sleep. Weight and height were objectively measured. The association between 24-h movement and BMI was analyzed by using compositional data analysis.

Results

Time reallocation using minutes and proportions created major differences to the results. Reallocating 10 min from other movement behaviours to MVPA was associated with decreased BMI z-score of 1.372 to 0.158 among primary-school students. Reallocating 10 min from sleep and SED to MVPA, and from sleep and SED to LPA were associated with decreased BMI z-score of 0.505 to 0.017 among middle-school students. Reallocating 10% of time from all other components to SED and sleep were associated with a higher BMI z-score by 0.148 (95%CI: 0.020; 0.276) and 0.125 (95%CI: 0.046; 0.204), while reallocating time to MVPA was associated with a decrease in BMI z-scores of 0.132 (95%CI: -0.193; -0.070) among primary-school students. Reallocating 10% of time from all other components to SED was associated with a higher BMI z-score of 0.254 (95%CI: 0.165; 0.345), whereas reallocating time to MVPA and LPA was associated with a decrease in BMI z-scores of 0.039 (95%CI: -0.073; -0.005) and 0.093 (95%CI: -0.153; -0.033) among middle-school students.

Conclusion

Research results of 10-min one-to-one reallocation may be treated cautiously due to uneven distribution of time in 24-h movement behaviours. Based on the results of 10% one-to-remaining reallocation, replacing SED with MVPA may be an appropriate target for adiposity intervention in primary-school students, while increasing MVPA or LPA at the expense of SED may be effective in controlling adiposity of middle-school students in China.

The Relationship between Job Satisfaction and Depressive Symptoms among Chinese Adults Aged 35-60 Years: The Mediating Role of Subjective Well-Being and Life Satisfaction

The purpose of this study was to assess the serial multiple mediating effects of subjective well-being and life satisfaction between job satisfaction and depressive symptoms among Chinese adults aged 35-60 years. According to the 2018 China Family Panel Study (CFPS), we finally selected 10,609 respondents (5202 females, and 5407 males) aged 35-60 years old as samples for the study. Correlation analysis was carried out to examine the relationship among job satisfaction, subjective well-being, life satisfaction, and depressive symptoms. Linear regression models were established to analyze the relationship between job satisfaction and depressive symptoms. Serial multiple mediation analysis was conducted by the SPSS macro PROCESS program. The results suggested that job satisfaction was negatively correlated with depressive symptoms among Chinese adults aged 35-60 years. Subjective well-being and life satisfaction mediated the relationships between them, respectively. Furthermore, job satisfaction also had indirect impacts on depressive symptoms through the serial mediating effects of subjective well-being and life satisfaction. The findings revealed that increasing job satisfaction could decrease depressive symptoms through promoting subjective well-being and life satisfaction. The study may offer some meaningful implications for improving the mental health and reducing the risk of depressive symptoms among Chinese adults aged 35-60 years.

Sleep duration and depression among adolescents: Mediation effect of collective integration

Adolescence is a time of dramatic physical and mental change when adolescents are extremely vulnerable to various mental health problems. Depression and poor sleep duration are increasingly common among adolescents. This study is mainly aimed to verify the important mediating role of collective integration on sleep duration and depression and examine the interrelationship between sleep duration and depression in adolescents longitudinally. The data were obtained from the Wave 1 (in 2013-2014) and Wave 2 (in 2014-2015) longitudinal surveys of China Education Panel Survey (CEPS). The analytic sample in the present study included 8,829 seventh-grade students aged about 14 years (51.50% boys and 48.50% girls). A structural equation modeling (SEM) was used to investigate parent-child/teacher factors affecting adolescent sleep duration and depression, and Monte Carlo resampling with R was employed to confirm the significance of the mediation effects of collective integration. An autoregressive cross-lagged model was employed to analyze the interrelationship between adolescent sleep duration and depression. The findings were as follows. Firstly, collective integration strongly mediated the relationships among academic self-efficacy, parental involvement, teacher praise/criticism, sleep duration, and depression. Secondly, sleep duration and depression were found to have enduring effects and have effects on each other. Thirdly, parental involvement and teacher praise were positively associated with sleep quality and negatively associated with depression. Teacher criticism was negatively associated with sleep quality and positively associated with depression. Compared with teacher praise, teacher criticism has stronger effects on youth sleep duration and depression. In conclusion, improving sleep problems and depression in adolescents as early as possible can stop the persistent and long-term consequences of these problems. Increasing teacher praise, decreasing teacher criticism, and increasing adolescents' collective integration were effective ways to improve adolescents' sleep duration and mediate depression.

Frequency of Egg Intake Associated with Mortality in Chinese Adults: An 8-Year Nationwide Cohort Study

Whether egg consumption plays a beneficial/detrimental role in affecting human health and longevity has been debated for decades. Large-scale cohort evidence from low- and middle-income populations are scarce. In this study, we aimed to assess the association of egg consumption with mortality in Chinese adults. A nationwide cohort of 30,835 participants ages 16-110 years were enrolled from 25 provincial regions in China's mainland. Dietary intake (e.g., egg, meat, vegetable) was assessed by a food-frequency questionnaire. Cox proportional hazards models were used to examine associations between egg consumption and mortality, adjusting for demographic characteristics, dietary factors and health status. Dose-response relationships were investigated using the smoothing function of restricted cubic splines. Several subgroup analyses were performed. A total of 1651 all-cause deaths occurred during a median follow-up of 8.1 years. Egg consumption was associated with lower risks of mortality, with the lowest risk occurring in the group of moderate egg intake (3-6 times/week). Compared with non-consumers, the hazard ratios (95% confidence intervals) for mortality were 0.84 (0.72-0.97) for 3-6 times/week and 0.82 (0.69-0.98) for ≥7 times/week, whereas no significant associations were observed among the lower egg intake group (1-2/week). An approximately inverted J-shaped association was observed in three models, while restricting our analysis in the multivariable model (model 3) did not identify a significant violation for the linear relationship (p for nonlinear = 0.122). There were no statistically significant effect modifications in the subgroup analyses. Egg consumption may be associated with lower risks of mortality in Chinese adults. Our findings found moderate-to-high egg consumption might be beneficial for improving long-term health and longevity.

Sleep Pattern Is Related to Mental Health among Chinese Collegiate Student Athletes

Regarding the association between sleep and napping duration and mental health in young and older adults, some studies indicated a positive association, while others indicated a negative, or no, association between them. Moreover, collegiate student athletes have different mental health stressors, such as training pressure, improving sports performance, and relationships with coaches. Therefore, sleep is important for athletes. Whether sleep duration is related to their mental health is unclear. Thus, this study aimed to examine the association between nighttime sleep duration, daytime napping duration, and mental health among collegiate student athletees. This cross-sectional study included 700 college athletes. Sleep and daytime napping durations were assessed using a self-reported questionnaire. The Zung Self-rating Depression Scale and Generalized Anxiety Disorder-7 assessed mental health. A multivariate logistic regression analysis was conducted to examine the adjusted association between sleep duration and mental health. In this study, the odds ratios for depression and anxiety symptoms were significantly higher for short sleep duration (<7 h). Additionally, a significant positive association was found between daytime napping duration and the prevalence of depression. This study indicates that short nighttime sleep and long daytime napping duration may be risk factors for collegiate student athletes’ mental health, having important implications for educators and coaches.

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

Depression has become a major mental health concern among adolescents globally, and the relationship between depressive symptoms and nighttime sleep duration among adolescent girls remains unclear. This study aimed to examine the association between nighttime sleep duration and depressive symptoms among Chinese adolescent girls. This cross-sectional study, conducted in 2018, included 4952 girls aged 10-19 years from the eastern, central, and western regions of China. Depressive symptoms were assessed by the Patient Health Questionnaire-9, and categorized into depressive symptoms and non-depressive symptoms. Logistic regression models were used to estimate the odds ratios (ORs) of depressive symptoms. After adjustment for covariates, adolescent girls with a nighttime sleep duration of <7 h/night (OR = 2.28, 95% CI: 1.76-2.95) and 7 h/night (OR = 1.82, 95% CI: 1.48-2.24) were associated with increased risk of depressive symptoms, compared to those with a sleep duration of 8 h/night. An interaction between nighttime sleep duration and regular physical activity on the risk of depressive symptoms was observed (p for interaction = 0.036). Among both girls with and without regular physical activity, a sleep duration of <7 h/night was associated with increased odds of depressive symptoms, and the magnitude of the ORs among girls with regular physical activity was lower than those without regular physical activity. This study found a significant association of short nighttime sleep duration with increased risk of depressive symptoms, and demonstrates the importance of maintaining adequate nighttime sleep duration and ensuring regular physical activity in improving depressive symptoms among adolescent girls.