Exploring the associations between behavioral health risk factors, abnormal eating attitudes and socio-demographic factors among Chinese youth: Survey of 7,984 vocational high school students in Hunan in 2020.

Background: This study investigated the associations between behavioral health risk factors (anxiety, depression, stress, insomnia, drinking, smoking) and abnormal eating attitudes among Chinese vocational high school students (CVHSS). Potential moderating relationships were also explored with relevant socio-demographic factors of the student's age, sex, rural or urban community, household income, family type and educational level of the father and mother. Methods: A total of 7,984 students from three vocational high schools in Hunan, China completed a questionnaire about their socio-demographic characteristics, alcohol use, smoking, and symptoms of depression, anxiety, stress (21-item version of the Depression Anxiety Stress Scale), insomnia (8-item Athens Insomnia Scale), and abnormal eating attitudes (19-item Chinese version of Eating Attitudes Test). Results: The prevalence rates for behavioral health problems among these students ranged widely depending on the risk factor: 42.5% insomnia, 41.3% anxiety, 26.2% depression, 14.4% stress, 13.7% drinking, and 8.3% smoking. Additionally, 61.7% of students were at-risk for at least one of these six behavioral health disorders. Abnormal eating attitudes were associated with depression (r = 0.422), anxiety (r = 0.490), stress (r = 0.490), and insomnia (r = 0.375), with all of these relationships being significant (p < 0.01) and large size statistical effects. However, other analyzes found that none of the socio-demographic background factors had meaningful associations with the behavioral health risk factors (0 of 28 tests) and very few background factors were associated with the abnormal eating attitude measures (only 3 of 35 tests). Females had higher levels than males on dieting and bulimia but not on the other two eating attitude components. Conclusions: This study determined that behavioral health risk factors (sleep problems and anxiety in particular) were common among high school students in China and that mental health and sleep disorder risks also tended to co-occur in some students with abnormal eating attitudes. Therefore, prevention and early identification programs for behavioral risk factors are needed for this population. It is important to pay more attention to students with abnormal eating attitude-related symptoms, who may have also underlying mental health problems and need further evaluation.

Internet addiction among teenagers in a Chinese population: Prevalence, risk factors, and its relationship with obsessive-compulsive symptoms.

BACKGROUND AND AIMS: Internet addiction (IA) among teenagers has been reported frequently in China, although research has seldom focused on vocational high school students. This study investigated the prevalence and risk factors among this special adolescent population. Moreover, we illustrate the complex relationship between obsessive-compulsive (OC) symptoms, insomnia, psychological states, and IA. METHODS: A cross-sectional design was applied to collect information from three different vocational high schools in Hunan Province, China. Socio-demographic characteristics, OC symptoms, insomnia, depression, anxiety, and stress symptoms were compared between the IA and non-IA groups. Then, a structural equation model (SEM) was established to test our hypothesis regarding different paths from OC symptoms to IA. RESULTS: IA prevalence was 13.4% among 7990 vocational high school students. Individuals with IA were more likely to be male and students with more severe depression, stress, anxiety, and insomnia symptoms (all p < 0.001). SEM verified that OC symptoms were related to IA both directly and indirectly, where the latter relationship was mediated through insomnia or mental disorders. LIMITATIONS: This study cannot confirm the causal relationships among the variables and should be generalized cautiously to other groups. CONCLUSIONS: More attention should be paid to Chinese vocational high school students, especially those with more severe OC symptoms, poor mental health, and insomnia. We should consider OC symptoms, insomnia, psychological suffering, and IA together when addressing related problems.

Internet addiction and suicidal behavior among vocational high school students in Hunan Province, China: A moderated mediation model.

Background: Vocational education is an important part of high school education in China. However, there is little research on high school students' mental health. This study aimed to investigate the prevalence of suicidal behavior (SB) among this population and the mediating role of insomnia, depression, anxiety, and stress in the relationship between Internet addiction (IA) and SB using a structural equation model. Methods: A cross-sectional questionnaire survey was conducted among several vocational high school students in Hunan Province, and 7,968 valid questionnaires were obtained. General demographic data and data from the Dual-Mode Self-Control Scale, Athens Insomnia Scale, Depression Anxiety Stress scale-21, and Revised Chen Internet Addiction Scale were collected. A structural equation model was used to explore the different pathways from IA to SB. Results: Among the participants, 37.7, 15.7, and 21.8% reported suicidal ideation, plans, and attempts, respectively. The structural equation model confirmed that IA was indirectly related to SB and was mediated by insomnia and/or depression, anxiety, and stress. Limitations: First, we only recruited students from vocational schools in Hunan Province, therefore, the sample may not represent the entire population of vocational students in China. Second, self-report scales were used in this study, and clinical diagnosis required professional interviews. Third, since this study had a cross-sectional design, the causal relationship between the variables could not be determined. Conclusions: The prevalence of SB among vocational high school students in China was significantly high. The prevention of SB related to IA can be attributed to the improvement of insomnia and emotional problems.

Reliability and validity of DSM-IV and DSM-5 methamphetamine use disorder diagnoses using the Chinese Version of the Semi-Structured Assessment for Drug Dependence and Alcoholism (SSADDA).

BACKGROUND: The Semi-structured Assessment for Drug Dependence and Alcoholism (SSADDA) was developed to assess substance-use disorders and other psychiatric traits. We translated the SSADDA into Chinese and evaluated its inter-rater reliability and concurrent validity in diagnosing DSM-IV methamphetamine (MA) dependence and DSM-5 MA-use disorder (MUD). METHODS: The sample comprised 231 participants who were interviewed using the Chinese SSADDA and the Mini-International Neuropsychiatric Interview (Chinese MINI) for concurrent validation. Of the 231 participants, 191 were interviewed by two different interviewers two weeks apart. We evaluated the inter-rater reliability and concurrent validity of the diagnoses using percent agreement and Cohen's kappa coefficient (κ). Cohen's linear weighted kappa was used to assess the reliability of DSM-5 MUD severity. RESULTS: It showed good inter-rater reliability and no significant differences among the DSM-5 MUD (κ = 0.71), DSM-IV MA abuse or dependence (κ = 0.72), and the DSM-IV diagnoses of MA dependence (κ = 0.66) and abuse (κ = 0.68) tested separately. The weighted kappa was 0.67 across the three DSM-5 MUD severity levels. The reliability of each individual diagnostic criterion for DSM-5 MUD ranged from fair to excellent (κ = 0.41-0.80), except for "repeated attempts to quit/control use" (κ = 0.38). The concurrent validity based on MINI-derived diagnoses ranged from good to excellent (κ = 0.65-0.78). CONCLUSIONS: This study shows that the Chinese version of SSADDA has good reliability and validity among Chinese MA users.

Efficacy of Treatments Targeting Hypothalamic-Pituitary-Adrenal Systems for Major Depressive Disorder: A Meta-Analysis.

Abnormal hypothalamic-pituitary-adrenal (HPA) axis has been implicated in major depressive disorder (MDD). A number of studies have attempted to use HPA-modulating medications to treat depression. However, their results are inconsistent. The efficacy of these drugs for MDD remains uncertain. The aims of this meta-analysis were to determine the effect and safety profile of HPA-targeting medications for MDD. World of Science and PubMed databases were comprehensively searched up to March 2021. All randomized controlled trials (RCTs) and open-label trials exploring antiglucocorticoid and related medications in patients with depression were included. Standardized mean differences (SMDs) and risk ratios (RRs) with 95% confidence intervals (CIs) were calculated for continuous or dichotomous outcomes, respectively. In the meta-analysis, we identified 16 RCTs and seven open-label studies that included 2972 subjects. Pooling the change data that assessed the efficacy across all included HPA-targeting medications for depression showed a significant difference between interventions and controls with very small heterogeneity after influence analysis (SMD = 0.138, 95%CI = 0.052, 0.224, p = 0.002; I2 = 20.7%, p = 0.212). No obvious publication bias was observed (p = 0.127). Effectiveness remained significant in patients with MDD (SMD = 0.136, 95%CI = 0.049, 0.223, p = 0.002). Subgroup analysis showed a significant difference favoring mifepristone and vasopressin 1B (V1B) receptor antagonist treatment. Adverse events were reported by 14 studies and our analysis of high-quality studies showed a significant difference in favor of controls (RR = 1.283, 95%CI = 1.134, 1.452, p = 0). Our study suggested that patients with MDD may benefit from mifepristone and V1B receptor antagonist treatments that have tolerable side effects. HPA-based medications are promising for depression treatment. However, additional high-quality RCTs, including head-to-head trials, are needed. Systematic Review Registration:https://www.crd.york.ac.uk/PROSPERO/, identifier registration number: CRD42021247279.