Investigating the mechanisms of internet gaming disorder and developing intelligent monitoring models using artificial intelligence technologies: protocol of a prospective cohort.

BACKGROUND: Internet gaming disorder (IGD), recognized by the World Health Organization (WHO), significantly impacts adolescent mental and physical health. With a global prevalence of 3.05%, rates are higher in Asia, especially among adolescents and males. The COVID-19 pandemic has exacerbated IGD due to increased gaming time from isolation and anxiety. Vulnerable groups include adolescents with poor academic performance, introverted personalities, and comorbid mental disorders. IGD mechanisms remain unclear, lacking prospective research. Based on Skinner's reinforcement theory, the purpose of this study is to explore the mechanisms of IGD from individual and environmental perspectives, incorporating age-related changes and game features, and to develop intelligent monitoring models for early intervention in high-risk adolescents. METHODS: This prospective cohort study will investigate IGD mechanisms in middle and high school students in Shenzhen, China. Data will be collected via online surveys and Python-based web scraping, with a 3-year follow-up and assessments every 6 months. Unstructured data obtained through Python-based web scraping will be structured using natural language processing techniques. Collected data will include personal characteristics, gaming usage, academic experiences, and psycho-behavioral-social factors. Baseline data will train and test predictive models, while follow-up data will validate them. Data preprocessing, normalization, and analysis will be performed. Predictive models, including Cox proportional hazards and Weibull regression, will be evaluated through cross-validation, confusion matrix, receiver operating characteristic (ROC) curve, area under the curve (AUC), and root mean square error (RMSE). DISCUSSION: The study aims to understand the interplay between individual and environmental factors in IGD, incorporating age-related changes and game features. Active monitoring and early intervention are critical for preventing IGD. Despite limitations in geographic scope and biological data collection, the study's innovative design and methodologies offer valuable contributions to public health, promoting effective interventions for high-risk individuals.

Adverse events profile associated with intermittent fasting in adults with overweight or obesity: a systematic review and meta-analysis of randomized controlled trials.

BACKGROUND: There is little evidence to comprehensively summarize the adverse events (AEs) profile of intermittent fasting (IF) despite its widespread use in patients with overweight or obesity. METHODS: We searched the main electronic databases and registry websites to identify eligible randomized controlled trials (RCTs) comparing IF versus control groups. A direct meta-analysis using a fixed-effect model was conducted to pool the risk differences regarding common AEs and dropouts. Study quality was assessed by using the Jadad scale. Pre-specified subgroup and sensitivity analyses were conducted to explore potential heterogeneity. RESULTS: A total of 15 RCTs involving 1,365 adult individuals were included. Findings did not show a significant difference between IF and Control in risk rate of fatigue [0%, 95% confidence interval (CI), -1% to 2%; P = 0.61], headache [0%, 95%CI: -1% to 2%; P = 0.86] and dropout [1%, 95%CI: -2% to 4%; P = 0.51]. However, a numerically higher risk of dizziness was noted among the IF alone subgroup with non-early time restricted eating [3%, 95%CI: -0% to 6%; P = 0.08]. CONCLUSIONS: This meta-analysis suggested that IF was not associated with a greater risk of AEs in adult patients affected by overweight or obesity. Additional large-scale RCTs stratified by key confounders and designed to evaluate the long-term effects of various IF regimens are needed to ascertain these AEs profile.

The Impact of Problematic Smartphone Use on Sleep Quality Among Chinese Young Adults: Investigating Anxiety and Depression as Mediators in a Three-Wave Longitudinal Study.

Background: Sleep disorders are a significant health issue that urgently needs to be addressed among undergraduate students, and one of the potential underlying problems could be problematic smartphone use (PSU). This study aimed to clarify the relationship between PSU and poor sleep quality by investigating the independent and serial mediating roles of anxiety and depressive symptoms in a population of university students in Tibet, China. Methods: A total of 2993 Tibetan college students completed three waves of data surveys, with all participants completing questionnaires on PSU, anxiety, depressive symptoms, and sleep quality (Time 1 (T1) -Time 3 (T3)). Bootstrapped mediation analysis was used to explore the mediating role of anxiety and depressive symptoms in the longitudinal relationship between PSU and sleep quality. Results: Both direct and indirect effects of PSU on poor sleep quality were found. PSU (T1) can had not only a direct negative influence on poor sleep quality (T3) among young adults (direct effect = 0.021, 95% CI = 0.010-0.033) but also an indirect negative impact via three pathways: the independent mediating effect of anxiety symptoms (T2) (indirect effect 1 = 0.003, 95% CI = 0.001-0.006), the independent mediating effect of depressive symptoms (T2) (indirect effect 2 = 0.004, 95% CI = 0.002-0.006), and the serial mediating effects of anxiety (T2) and depressive symptoms (T2) (indirect effect 3 = 0.008, 95% CI=0.005-0.011). Conclusion: These findings highlight the role of anxiety and depression symptoms as joint mediating factors in the relationship between PSU and sleep disturbances. Interventions focused on improving sleep that incorporate behavioural measures could benefit from treatment approaches targeting mental disorders.

Evaluating ChatGPT-4.0's data analytic proficiency in epidemiological studies: A comparative analysis with SAS, SPSS, and R.

Background: OpenAI's Chat Generative Pre-trained Transformer 4.0 (ChatGPT-4), an emerging artificial intelligence (AI)-based large language model (LLM), has been receiving increasing attention from the medical research community for its innovative 'Data Analyst' feature. We aimed to compare the capabilities of ChatGPT-4 against traditional biostatistical software (i.e. SAS, SPSS, R) in statistically analysing epidemiological research data. Methods: We used a data set from the China Health and Nutrition Survey, comprising 9317 participants and 29 variables (e.g. gender, age, educational level, marital status, income, occupation, weekly working hours, survival status). Two researchers independently evaluated the data analysis capabilities of GPT-4's 'Data Analyst' feature against SAS, SPSS, and R across three commonly used epidemiological analysis methods: Descriptive statistics, intergroup analysis, and correlation analysis. We used an internally developed evaluation scale to assess and compare the consistency of results, analytical efficiency of coding or operations, user-friendliness, and overall performance between ChatGPT-4, SAS, SPSS, and R. Results: In descriptive statistics, ChatGPT-4 showed high consistency of results, greater analytical efficiency of code or operations, and more intuitive user-friendliness compared to SAS, SPSS, and R. In intergroup comparisons and correlational analyses, despite minor discrepancies in statistical outcomes for certain analysis tasks with SAS, SPSS, and R, ChatGPT-4 maintained high analytical efficiency and exceptional user-friendliness. Thus, employing ChatGPT-4 can significantly lower the operational threshold for conducting epidemiological data analysis while maintaining consistency with traditional biostatistical software's outcome, requiring only specific, clear analysis instructions without any additional operations or code writing. Conclusions: We found ChatGPT-4 to be a powerful auxiliary tool for statistical analysis in epidemiological research. However, it showed limitations in result consistency and in applying more advanced statistical methods. Therefore, we advocate for the use of ChatGPT-4 in supporting researchers with intermediate experience in data analysis. With AI technologies like LLMs advancing rapidly, their integration with data analysis platforms promises to lower operational barriers, thereby enabling researchers to dedicate greater focus to the nuanced interpretation of analysis results. This development is likely to significantly advance epidemiological and medical research.

Identification of circATG9A as a novel biomarker for renal cell carcinoma.

The incidence and mortality rates of renal cell carcinoma (RCC) have rapidly increased worldwide. To gain new insights into the regulatory role of circular RNAs (circRNAs) in RCC progression, we conducted RNA sequencing on three pairs of ccRCC and adjacent normal tissues. RT-PCR was utilized to analyze RNA expression. We investigated the effects of circATG9A on RCC cells through various assays including CCK-8, Transwell, wound healing, and colony formation assays. Furthermore, we employed FISH, RNA pull-down, luciferase reporter, and RIP assays to elucidate the mechanism by which circATG9A regulates RCC. Ultimately, we identified 118 differentially expressed circRNAs in RCC, including a novel circRNA, circATG9A, which was found to promote RCC progression both in vitro and in vivo. Moreover, mRNA sequencing, western blotting, and rescue experiments indicated that TRPM3 is the target of circATG9A in RCC progression. Bioinformatic analysis, RNA pull-down, FISH, and RIP assays suggested that circATG9A regulates TRPM3 expression by acting as a sponge for miR-497-5p. Finally, Western blotting revealed that circATG9A promotes the epithelial-mesenchymal transition (EMT) process through the Wnt/ß-catenin signaling pathway. Our findings demonstrate that circATG9A is a novel circRNA upregulated in RCC that plays a crucial role in the EMT process through the miR-497-5p/TRPM3/Wnt/ß-catenin axis. These results suggest that circATG9A could be a promising target for RCC prognosis and therapy.

Eating disorders symptoms and depressive symptoms in Chinese Tibetan University students: a network analysis.

BACKGROUND: Depression is being increasingly acknowledged as a global public health concern, and following this trend, attention towards eating disorders (EDs) has surged within China's national consciousness. EDs symptoms frequently coexist with various mental health conditions, including depression. However, research focusing on EDs symptoms and depressive symptoms among Tibetan students in China remains scant. This study employs network analysis to estimate the relational network between EDs and depressive symptoms. METHODS: Tibetan (n = 2,582) and Han (n = 1,743) students from two universities in the Xizang Autonomous Region, China, completed the Eating Attitude Test-26 (EAT-26) and the Patient Health Questionnaire-9 (PHQ-9). We estimated the network structure of EDs symptoms and depressive symptoms, identified central and bridge symptoms, and examined whether network characteristics differed by gender and ethnic. RESULTS: The core symptoms identified within this study were Calorie_awareness, Desire_to_thin and Fatigue. Conversely, bridge symptoms included Appetite, Suicide, Anhedonia, Guilty, Body_fat_awareness, and Food_preoccupation. The study also revealed no significant gender differences within the network model. However, disparities among ethnic groups were observed within the network structure. CONCLUSIONS: Our study examined the correlation between EDs symptoms and depressive symptoms in Tibetan college students. Focusing on the individual's quest for the perfect body shape and some Tibetan students' appetite problems - potentially stemming from transitioning to a new university environment, adapting to the school canteen's diet, or being away from their hometown - could aid in the prevention and management of EDs and depression symptoms. It could reduce the incidence of complications by helping students maintain good physical and mental health. Concurrently, our research provides insights into the relatively higher levels of depression triggered by the unique plateau environment.

Effect of Sleep Quality on Anxiety and Depression Symptoms among College Students in China's Xizang Region: The Mediating Effect of Cognitive Emotion Regulation.

BACKGROUND: While the exact mechanisms are not fully understood, there are significant links between sleep quality, anxiety, depressive symptoms, and cognitive emotion regulation. This research examines how sleep quality affects anxiety and depressive symptoms, as well as the potential of cognitive emotion regulation strategies (CERS) to moderate the impact of sleep quality on these symptoms. METHODS: The Chinese version of the Pittsburgh Sleep Quality Index (CPSQI), the Cognitive Emotion Regulation Questionnaire (CERQ), the Patient Health Questionnaire-9 (PHQ-9), and the Generalized Anxiety Disorder Scale-7 (GAD-7) were all completed online by students from two colleges in China's Xizang region. RESULTS: The study included 4325 subjects. The prevalence of poor sleep quality, anxiety symptoms, and depression symptoms was 45.69%, 36.81%, and 51.86%, respectively. We observed significant direct effects on poor sleep and severity of anxiety/depression: c'1 = 0.586 (0. 544-0.628), and c'2 = 0.728 (0.683-0.773). Adaptive CERS only had a mediating effect on the relationship between sleep quality and depression symptoms, with a1b3 = -0.005 (-0.011--0.001). The link between poor sleep quality and the intensity of anxiety and depression was significantly affected by the indirect effects of maladaptive CERS: effect a2b2 = 0.126 (0.106-0.147), and effect a2b4 = 0.145 (0.123-0.167). CONCLUSIONS: Individuals who experience poor sleep quality are more likely to have increased levels of anxiety and depression. However, enhancing sleep quality led to a decrease in anxiety and depression levels. Adaptive CERS did not predict anxiety, but they did predict depression. Multiple maladaptive CERS could increase levels of anxiety and depression. To prevent mental stress, it is crucial to examine sleep problems among college students, understand their cognitive strategies, promote the adoption of adaptive CERS, and reduce the reliance on maladaptive CERS.

[Gut microbial dysbiosis under space environment: a review].

Unique factors in the space environment can cause dysbiosis of astronauts' gut microbiota and its metabolites, which may exert systematic physiological effects on human body. Recent progress regarding the effect of space flight/simulated space environment (SF/SPE) on the composition of gut microbiota and its metabolites was reviewed in this paper. SF/SPE may cause the increase of invasive pathogenic bacteria and the decrease of beneficial bacteria, aggravating intestinal inflammation and increasing intestinal permeability. SF/SPE may also cause the decrease of beneficial metabolites or the increase of harmful metabolites of gut microbiota, leading to metabolism disorder in vivo, or inducing damage of other systems, thus not beneficial to the health and working efficiency of astronauts. Summarizing the effects of SF/SPE on gut microbiota may provide scientific basis for further researches in this field and the on-orbit health protection of astronauts.

TMAO promotes dementia progression by mediating the PI3K/Akt/mTOR pathway.

BACKGROUND: Dementia poses a serious threat to the daily and social abilities of patients, and trimethylamine-N-oxide (TMAO) is a metabolite of the gut microbiota involved in regulating the inflammatory response. However, the role of TMAO in dementia needs further investigation. This study aimed to investigate the effects and possible mechanisms of TMAO on dementia, which may provide ideas for the treatment of dementia. MATERIALS AND METHODS: Dementia mice were induced by D-galactose + AlCl3, and the changes in learning memory capacity, histopathology, inflammatory factors, and PI3K/Akt/mTOR in mice treated with TMAO were analyzed to determine the mechanism of TMAO action on dementia. In addition, the effect of TMAO+PI3K inhibitor treatment on mice was also analyzed to further determine the mechanism of TMAO effect on dementia. RESULTS: The results revealed that the dementia group had significantly higher TMAO levels and a significant hippocampal injury and inflammatory response. TMAO treatment promoted hippocampal injury and promoted the level of inflammatory cytokines. Further study of PI3K/Akt/mTOR signaling pathway showed that the expression of p-PI3K, p-Akt, and p-mTOR was significantly increased in the dementia group, and it was more obvious after TMAO treatment. And hippocampal injury, inflammatory response, and increase of p-PI3K, p-Akt, p-mTOR were reversed by TMAO+PI3K inhibitor. CONCLUSIONS: This study determined that TMAO promotes dementia through the PI3K/Akt/mTOR signaling pathway, suggesting that TMAO may be a potential target for dementia.

Longitudinal Associations of Newly Diagnosed Prediabetes and Diabetes with Cognitive Function among Chinese Adults Aged 45 Years and Older.

With population aging, diabetes mellitus and cognitive function decline are common health problems among older adults worldwide. This longitudinal study is aimed at estimating the longitudinal associations of newly diagnosed prediabetes and diabetes status with cognitive function among Chinese adults aged 45 years and older and evaluating the clinical risk factors associated with cognitive function. Data were obtained from the China Health and Retirement Longitudinal Study (CHARLS). A total of 8716 participants meeting the inclusion criteria were enrolled between 2011 and 2012 at baseline, and 6125 participants completed the follow-up survey in 2018. Cognitive function, newly diagnosed diabetic status, depression, body mass index, and clinical and biochemical measurements were collected. At baseline, the mean age of the participants was 58.93 (SD: 9.76) years, 3987 (45.7%) were males, 1802 (20.7%) participants were newly diagnosed with prediabetes, and 935 (10.7%) were diabetes patients. After adjusting for control variables, diabetes was a significant risk factor for subsequent cognitive decline (unstandardized ßestimate = -0.50, 95%CI = -0.98 ~ -0.02). Subgroup analyses found that the association of diabetes with cognitive decline was significant in females. Stratification analyses found that among prediabetes patients, triglyceride concentrations were negatively associated with cognitive function; among diabetes patients, high-sensitivity C-reactive protein was significantly associated with cognitive decline. The newly diagnosed diabetes status at baseline was associated with subsequent cognitive decline among middle-aged and elderly Chinese, especially in females. The management of triglycerides through lifestyle modification for prediabetes and specific adjunctive anti-inflammatory therapy for diabetes might benefit cognitive performance.

[Expression and Regulatory Mechanism of Autophagy-related Genes in Synovial Tissues of Patients with Rheumatoid Arthritis].

Objective To investigate the expression regulation of autophagy-related genes(ATG)and the mechanism of autophagy in rheumatoid arthritis(RA).Methods The differentially expressed genes(DEG)of RA were identified from GSE55235 and GSE55457,on the basis of which the differentially expressed autophagy-related genes(DE-ATG)were selected from the Human Autophagy Database.STRING 11.0 and GeneMANIA were used to establish protein-protein interaction networks.Further,the transcription factor-gene-miRNA co-expression network was established via NetworkAnalyst and Cytoscape.Finally,receiver operating characteristic(ROC)curve and DrugBank were employed to evaluate the efficacy of the predicted biomarkers and the performance of drugs targeting DE-ATG.GraphPad Prism 8.2.1 and R 4.0.3 were used for statistical analysis and graphics.Results A total of 485 DEG were enriched in signaling pathways such as T cell activation,hormone regulation,osteoclast differentiation,RA,and chemokines.Eleven DE-ATG regulated the expression of RUNX1,TP53,SOX2,and hsa-mir-155-5p in synovial tissues of RA patients and were involved in the response to environmental factors such as 2,3,7,8-tetrachlorodibenzodioxin and silicon dioxide.The ROC curve analysis identified the DE-ATG with good sensitivity and specificity,such as MYC,MAPK8,CDKN1A,and TNFSF10,which can be used to distinguish certain phenotypes and serve as novel biomarkers for RA.Conclusions In RA,down-regulated DE-ATG expression may promote apoptosis and lysis of chondrocytes.The identified novel biomarkers provides new ideas and methods for diagnosing and treating RA.The establishment of transcription factor-miRNA-gene co-expression network provides direct evidence for dissecting synovial inflammation and articular cartilage destruction.

The Role of Problematic Smartphone Uses and Psychological Distress in the Relationship Between Sleep Quality and Disordered Eating Behaviors Among Chinese College Students.

Background: Sleep problems and eating disorders (EDs) are both serious public health concerns often seen in young adults. Yet, the underlying mechanisms for such associations are largely unknown. This study aims to examine potential serial multiple mediation effects of problematic smartphone use (PSU) and psychological distress (i.e., depressive and anxiety symptoms) in the relationship between sleep quality and disordered eating behaviors/attitudes (DEBs). Methods: A total of 4,325 students from two Tibet universities in China (2,657 females and 1,668 males) completed an online survey that included the following measurements: Eating Attitude Test-26 for disordered eating behaviors/attitudes, the Chinese Version of Pittsburgh Sleep Quality Index (CPSQI), Smartphone Addiction Scale-Short Version (SAS-SV) for problematic smartphone use, Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) for psychological distress. Results: While the direct path linking sleep quality and DEBs was not found to be significant (Standardized ß = 0.006, 95% CI = -0.0667~0.0970), both PSU (Standardized ß = 0.016, 95% CI = 0.0256~0.0591) and anxiety symptoms (Standardized ß = 0.014, 95% CI = 0.0203~0.0526) may mediate a link between sleep quality and DEBs; serial multiple mediation analysis revealed that a serial indirect pathway of "sleep quality -> PSU -> anxiety symptoms -> DEBs" existed(Standardized ß = 0.001, 95% CI = 0.0002~0.0012). Similarly, while the direct path linking sleep quality and DEBs was not found to be significant (Standardized ß = 0.006, 95% CI = -0.0667~0.0970), both PSU (Standardized ß = 0.020, 95% CI = 0.0337~0.0692) and depressive symptoms (Standardized ß = 0.015, 95% CI = 0.0139~0.0652) may mediate a link between sleep quality and DEBs; serial multiple mediation analysis revealed that a serial indirect pathway of "sleep quality -> PSU -> depressive symptoms -> DEBs" existed (Standardized ß = 0.001, 95% CI = 0.0006~0.0038). Conclusions: Psychological and behavioral factors may comprehensively work together, leading to flow-on effects from sleep problems to disordered eating behaviors among university students. Appropriate interventions that target problematic smartphone use could thus potentially reduce anxiety and depression levels, which in turn will provide a buffer against the negative impact of poor sleep quality on eating disorder symptoms.

Sexual orientation and sleep problem among Chinese college students: Mediating roles of interpersonal problems and depressive symptoms.

BACKGROUND: This study aimed to investigate disparities in sleep quality between sexual minority and heterosexual college students, and to examine the serial multiple mediation effects of interpersonal relationships and depressive symptoms on sexual minority disparities in sleep quality. We also explored the sex differences in the mediating effects. METHODS: Data were drawn from the 2019 School-based Chinese College Students Health Survey using a multi-stage, stratified-cluster, random-sampling method to examine the risk factors of sleep disparities and the mediation effects. Measures included sexual orientation, perceived interpersonal relationships (i.e., family, teachers, and peer relationship), depressive symptoms, sleep quality, and other covariates. RESULTS: Of all the college students in the analysis, 95.8% were heterosexual, 4.2% were sexual minorities. In the adjusted model without mediation, sexual minority students were at a higher risk of poor sleep quality (P < 0.001). Serial multiple mediation analysis revealed that: both interpersonal relationships and depressive symptoms mediated the link between sexual orientation and sleep quality; a serial indirect pathway (i.e., sexual orientation â†’ interpersonal relationships â†’ depressive symptoms â†’ sleep quality) existed. Moreover, the serial indirect pathway might be moderated by sex. LIMITATIONS: Causal inference is limited due to the cross-sectional design. CONCLUSIONS: Interventions to prevent or manage sleep disorders of sexual minority college students may yield better results if they consider the effects of improving interpersonal relationships and depression symptoms comprehensively than targeting sleep problems alone.

Childhood maltreatment predicts subsequent anxiety symptoms among Chinese adolescents: the role of the tendency of coping styles.

Childhood maltreatment may have an influence on anxiety symptoms and coping styles. This longitudinal study aimed to estimate the prospective associations between different types of childhood maltreatment and anxiety symptoms among Chinese adolescents, with a particular focus on investigating whether these associations vary by the tendency of coping styles. Data were from the Longitudinal Study of Adolescents' Mental and Behavioral Well-being Research. The baseline sample included 1957 participants (response rate: 99.03%) and followed up at 1-year later (n = 1836, retention rate: 93.8%). Anxiety symptoms, childhood maltreatment, the tendency of coping styles, morning cortisol level, depressive symptoms, self-esteem, and other demographics were measured. Overall, the mean age of the baseline students was 13.6 (SD: 1.5) years. The final results showed that childhood emotional abuse (unstandardized ß-estimate = 0.13, 95% CI = 0.07-0.18), physical abuse (unstandardized ß-estimate = 0.08, 95% CI = 0.01-0.16), and sexual abuse (unstandardized ß-estimate = 0.17, 95% CI = 0.04-0.29) were positively associated with anxiety symptoms at follow-up after adjusting for significant covariates at baseline. Additionally, the stratified analyses demonstrated that only among students with negative coping styles, childhood emotional abuse, physical abuse, and sexual abuse were associated with subsequent anxiety symptoms; the differences between the positive and negative coping style strata were significant (P < 0.05). Childhood maltreatment appears to be a predictor of anxiety symptoms among adolescents, and the tendency of coping styles may have a moderating role in these longitudinal associations. The efforts to prevent anxiety symptoms are recommended to be focused on adolescents with the experience of childhood maltreatment and negative coping styles.

The Longitudinal Association between Sleep Duration and Suicidal Behavior among Chinese Adolescents: The Role of Nonmedical Use of Prescription Drug.

OBJECTIVE/BACKGROUND: Abnormal sleep and nonmedical use of prescription drugs are known to be factors associated with suicidal behavior, but the nature of the association between weekday sleep duration and suicidal behavior has not been elucidated. Nonmedical use of prescription drugs may play a mediator role in the association mentioned above. PARTICIPANTS: There were a total of 3,273 high school students interviewed at baseline with a response rate of 96.8% and followed up at one year (retention rate, 96.1%). The mean (SD) age of the students was 13.7 (1.0) years. METHODS: Data were drawn from the longitudinal data of the School-based Chinese Adolescents Health Survey. A total of 12 high schools were selected in Guangzhou. Suicidal behavior, weekday sleep duration, and nonmedical use of prescription drugs were measured. RESULTS: Sleeping < 7 hours/day at time 0 was positively associated with suicidal ideation (Adjusted odds ratio [AOR] = 1.51, 95% CI = 1.21-1.89) and suicide attempts (AOR = 2.35, 95% CI = 1.02-5.38) at time 1. The mediation analyses showed that baseline opioids misuse or sedatives misuse partially mediated the associations of baseline short weekday sleep duration with suicidal ideation and suicide attempts at one-year follow-up. CONCLUSIONS: Baseline short weekday sleep duration was positively associated with subsequent suicidal ideation and suicide attempts, and nonmedical use of opioids or sedatives partially mediated the associations mentioned above. Suicidal behavior can be prevented, short weekday sleep duration and nonmedical use of prescription drugs may be risk factors for suicidal behavior, and the respective roles of these factors are needed to be better understood.

Associations Between Poor Sleep Quality, Anxiety Symptoms, and Depressive Symptoms Among Chinese Adolescents Before and During COVID-19: A Longitudinal Study.

Since the novel coronavirus disease 2019 (COVID-19) outbreak, adolescents' emerging mental health and behavior issues have been an international public health concern. This longitudinal study aimed to examine the situation of poor sleep quality, anxiety, and depressive symptoms among Chinese adolescents and to explore the associations between them before and during COVID-19. A total of 1,952 middle and high school students as eligible participants at baseline (pre-COVID-19, Wave 1; response rate: 98.79%), 1,831 eligible students were followed up at Wave 2 (October 2019 to December 2019, pre-COVID-19; retention rate: 93.80%), and 1,790 completed the follow-up at Wave 3 (during the COVID-19; retention rate: 97.80%). The mean age of the baseline students was 13.56 (SD: 1.46) years. The differences in anxiety and depressive symptoms between Wave 1, Wave 2, and Wave 3 were not statistically significant. The proportion of students with poor sleep quality increased over time, from Wave 1 (21.0%) to Wave 3 (26.0%, OR = 1.37, 95% CI = 1.17-1.60, P = 0.001) and from Wave 2 (21.9%) to Wave 3 (OR = 1.29, 95% CI = 1.11-1.51, P < 0.001). The cross-lagged generalized linear mixed models revealed that the concurrent and cross-lagged associations of poor sleep quality with anxiety symptoms across the three waves were significant (P < 0.05) and vice versa. Only a marginally significant positive cross-lagged association between poor sleep quality at Wave 2 and depressive symptoms at Wave 3 was found (standardized ß estimate = 0.044, SE = 0.022, P = 0.045). Sleep quality was adversely affected during COVID-19, and the bidirectional associations of poor sleep quality with anxiety symptoms could not be neglected.

Association of sexual minority status, gender nonconformity with childhood victimization and adulthood depressive symptoms: A path analysis.

BACKGROUND: Sexual minority status and childhood gender nonconformity have been associated with elevated risks of childhood adversities and poorer mental health. OBJECTIVE: To explore how abuse and bullying explain the disparities in the associations of sexual minority status and childhood gender nonconformity with adulthood depressive symptoms in men. PARTICIPANTS AND SETTING: We conducted a cross-sectional study using a self-report questionnaire among Chinese adult men (18-35 years) who were identified as heterosexual (n = 873) and sexual minority (n = 858) in Guangzhou from 2017 to 2019. METHODS: Structural equation modeling (SEM) were conducted for path analysis. RESULTS: The levels of exposure to childhood maltreatment were higher in sexual minorities than in straight men, and sexual minority status predicted an increased risk of depressive symptoms via childhood maltreatment (indirect effect: ß = 0.026, p = 0.004). Meanwhile, childhood gender nonconformity predicted higher depressive symptoms via both family (indirect effect: ß = 0.042, p < 0.001) and school (indirect effect: ß = 0.028, p < 0.001) victimization, and there was a direct effect (ß = 0.154, p < 0.001) of gender nonconformity on depressive symptoms. CONCLUSION: Sexual minority status and gender nonconformity are indicators of men's increased risk of childhood victimization and adulthood depressive symptoms. As a result, intervention based on both family and school dimensions needs to be developed.

Association Among Maltreatment, Bullying and Mental Health, Risk Behavior and Sexual Attraction in Chinese Students.

OBJECTIVE: To identify the association between sexual attraction, childhood maltreatment and bullying victimization, and mental and behavioral health problems among Chinese adolescents. METHODS: A cross-sectional study among Chinese high school students by multistage stratified cluster sampling was conducted using a self-reported questionnaire. Participants who were same- or both-sex attracted were identified as sexual minorities, and those who were opposite-sex attracted were identified as heterosexuals. Childhood maltreatment was assessed as physical, emotional, and sexual abuse, and bullying was assessed as traditional and cyberbullying. Psychological distress was assessed as depressive and anxiety symptoms, and self-destructive behavior was assessed as suicidal behavior and nonsuicidal self-injury. Logistic regression and path analysis were conducted to analyze the data. RESULTS: There were 1360 sexual minority and 15,020 heterosexual respondents. Sexual minority status was associated with increased risk of maltreatment (adjusted odds ratio [AOR] range: 1.25-2.46) and bullying (AOR range: 1.38-1.77) victimization, and a series of health problems (AOR range: 1.85-3.69). Furthermore, childhood maltreatment could partially explain the association of sexual minority status with psychological distress (indirect effect: ß = 0.026 for boys; ß = 0.086 for girls) and self-destructive behavior (ß = 0.056 for boys; ß = 0.125 for girls), and bullying could partially explain the association between sexual minority status and psychological distress (ß = 0.040 for boys; ß = 0.031 for girls). CONCLUSIONS: Sexual minority adolescents were more likely than heterosexuals to experience different forms of childhood victimization, which may put them at higher risk for mental and behavioral health problems. Interventions based on both family and school are essential.

Association between Childhood Maltreatment and Suicidal Ideation and Suicide Attempts among Chinese Adolescents: The Moderating Role of Depressive Symptoms.

Suicidal behavior is a major public health concern worldwide and has become the second-leading cause of death among adolescents. The purposes of this study were to investigate the associations between childhood maltreatment and suicidal behavior and to test whether depressive symptoms have moderating effects on these associations. A multistage stratified cluster randomized sampling method was adopted to collect data from 21,019 high school students in Guangdong Province, China. The prevalence of suicidal ideation and suicide attempts among Chinese adolescents were 18.2% and 3.6%, respectively. Physical abuse (adjusted odds ratios (AOR) = 1.35, 95% confidence intervals (CI) = 1.32-1.38), emotional abuse (AOR = 1.26, 95% CI = 1.25-1.28), sexual abuse (AOR = 1.25, 95% CI = 1.21-1.30), physical neglect (AOR = 1.09, 95% CI = 1.08-1.11), and emotional neglect (AOR = 1.08, 95% CI = 1.08-1.09) were all associated with an increased risk of suicidal ideation, and these associations were also found for suicide attempts. According to stratification analyses, physical abuse/emotional abuse/sexual abuse had a stronger effect on suicidal ideation and suicide attempts among students without depressive symptoms than among students with depressive symptoms. Childhood maltreatment was associated with an increased risk of suicidal ideation and suicide attempts in Chinese adolescents. Depressive symptoms play a moderating role in the association between childhood maltreatment and suicidal behaviors.

Patterns of Bullying Victimization and Associations with Mental Health Problems in Chinese Adolescents: A Latent Class Analysis.

Bullying victimization in school students is a serious public health concern and has been linked to a wide range of mental health problems. The current study aims to examine patterns of involvement in different types of bullying victimization among Chinese adolescents and evaluate the associations between bullying victimization and mental health problems. Cross-sectional data from 20,722 middle school students from Guangdong Province were sampled using a multistage, stratified cluster-randomized sampling method. Latent class analysis (LCA) was performed on seven items representing bullying victimization. Levels of mental health outcomes were compared across each latent class. Four latent classes were identified for boys: the high victimization class (0.6%), the moderate victimization class (2.8%), the verbal victimization class (12.4%), and the low victimization class (84.2%). For girls, three latent classes were identified: the high victimization class (0.7%), the moderate victimization class (5.6%), and the low victimization class (93.7%). Characteristics of the item probabilities were different between boys and girls. For both genders, a graded relationship was found between bullying victimization class membership and mental health outcomes. These findings underline the complexity of bullying victimization patterns among Chinese adolescents. Students with higher involvement in bullying victimization have more severe mental health problems.