To explore the impact of household tobacco smoke exposure on adolescents attempted smoking behavior, so as to provide a reference for tobacco control policy formulation and evaluation.

From September to November 2023, a stratified cluster random sampling method was employed to select 7 841 middle and high school students from 10 monitoring sites (districts/counties) in Beijing for a questionnaire survey. Rao-Scott Chi-square test was used to assess differences in proportions across subgroups, and complex sampling design-based multivariate Logistic regression analysis was conducted to explore the influence of parental smoking and secondhand smoke (SHS) exposure at home on adolescents attempted smoking behavior.

About 47.17% of adolescents reported to have at least one parent smoked, with 42.36% reported of having only the father smoked, 0.73% reported of having only the mother smoked, and 4.08% reported of having both parents smoked. About 34.66% of middle and high school students were reported SHS exposure at home in the past 7 days, with 10.98%, 4.79% and 18.89% reported SHS exposure for 1-2, 3-4 and 5-7 days. Compared to adolescents with non-smoking parents, those with a smoking father or both smoking parents had higher rates of attempted smoking [OR(95%CI)=1.45(1.06-1.98), 3.73(2.18-6.37), P < 0.05]. Compared to adolescents without SHS exposure at home in the past 7 days, those exposed for 3-4 or 5-7 days had higher rates of attempted smoking [OR(95%CI)=2.21(1.27-3.84), 2.46(1.58-3.83), P < 0.01].

Household tobacco smoke exposure is associated with adolescent attempted smoking behavior. Parents should quit smoking and prohibit smoking at home to create a smoke-free environment for adolescents.

To understand the status and related factors of knowledge, attitude and practice (KAP) on vision health among young children's parents in Bao'an District, Shenzhen, so as to provide reference for further controlling myopia and promoting children's visual health.

From May 16th to 26th, 2024, a stratified cluster random sampling method was used to conduct an online questionnaire survey on 7 666 parents of kindergarten children across 41 kindergartens in a street of Bao'an District, Shenzhen. The t-test, variance analysis and multiple linear regression analysis were used to analyze the related factors of KAP on vision health among children's parents.

The pass rates of parental vision KAP and overall assessment were 25.10%, 98.49%, 71.18% and 58.26%, respectively. The results of the multiple linear regression analysis showed that only fathers with myopia, only mothers with myopia, both parents with myopia, children in the bottom classes, middle classes, senior classes, and pre-school had higher standardized scores for KAP on vision health among parents (β=0.08, 0.11, 0.16, 0.17, 0.16, 0.16, 0.05, P < 0.05), compared to both parents without myopia and children in daycare classes. Parents of young children with myopia, and who didn't know their children's visual acuity and their own visual acuity had a lower KAP standardized scores (β=-0.02, -0.04, -0.05, P<0.05).

Young children's parents in Bao'an District hold a positive attitude towards vision health, but are lack of knowledge and practice. It is imperative to transmit accurate information and concepts about children's vision health to parents in a targeted manner. In particular, knowledge and guidance should be strengthened for children's parents.

To explore the causal link of cumulative ecological risk and future orientation with health risk behaviors among higher vocational college students, so as to provide reference for reducing and preventing health risk behaviors among higher vocational college students.

A longitudinal follow-up study was conducted on 612 students using convenience sampling from 2 vocational colleges in Hunan Province. The Cumulative Ecological Risk Scale, Future Orientation Scale, and Health Risk Behavior Scale were used during three follow-up visits (T1: September 2022, T2: June 2023, T3: March 2024), and a cross-lagged panel model was constructed to examine the longitudinal causal relationship of cumulative ecological risk, future orientation and health risk behaviors. Analysis of longitudinal intermediary effect between variables by Bootstrap.

The cumulative ecological risk scores of T1, T2 and T3 among higher vocational college students were (2.94±1.44, 2.99±1.63, 3.02±1.54), future orientation scores (40.49±4.71, 41.51±5.72, 41.06±4.35) and health risk behavior scores (3.73±2.01, 3.49±2.00, 3.23±2.00). The results of repeated measures ANOVA showed that the future orientation score of T2 was higher than that of T1, and the main effect of measurement time was statistically significant (F=5.09, P < 0.01, η²=0.02). The health risk behavior score of T1 was higher than that of T2, and the health risk behavior score of T2 was higher than that of T3, and the main effect of measurement time was statistically significant (F=10.12, P < 0.01, η²=0.03).The cross-lagged model showed good adaptability, with χ²/df=7.20 (P < 0.01), relative fitting indicators GFI=0.98, CFI=0.99, TLI=0.96, IFI=0.99, NFI=0.99, and absolute fitting indicator RMSEA=0.06. Among them, the T1, T2 cumulative ecological risk showed negatively predictive effects on T2, T3 future orientation (β=-0.24, -0.47), and T1, T2 cumulative ecological risk positively predicted T2, T3 health risk behavior (β=0.20, 0.24), while T1, T2 future orientation negatively predicted T2, T3 health risk behavior (β=-0.25, -0.18) (P < 0.01). Bootstrap test analysis found that T2 future orientation had a longitudinal mediating effect (β=0.04, P < 0.01) on the T1 cumulative ecological risk and T3 health risk behavior.

The accumulation of ecological risk among higher vocational college students can positively predict health-risk behaviors, while future orientation can negatively predict health-risk behaviors. Moreover, future orientation plays a longitudinal mediating role between accumulated ecological risks and health-risk behaviors.

To understand the impact of left behind experience on the mental health of secondary vocational school students, so as to provide theoretical basis for the psychological health education of secondary vocational school students.

From September to December in 2019, a total of 3 401 students from Duyun, Guiding and Pingtang County were selected by multi-stage cluster random sampling method. Self-designed questionnaire and Symptom Check List-90(SCL-90) were used to investigate mental health status. A total of 1 415 left behind students and 1 415 non left behind students were matched by using propensity score matching (PSM). Wilcoxon test and Logistic regression analysis were conducted.

Before the matching of propensity score, there were statistically significant differences in the distribution of family structure, mother's educational level, family residence, family harmony and children's past health among the students with or without left behind experience (χ²=28.17, 52.40, 96.31, 29.75, 19.10, P < 0.05). After the matching, there were no statistically significant differences in the distribution of the above variables among the students with or without left-behind experience (χ²=0.02-4.32, P>0.05). Before the matching of propensity scores, there were significant differences in the scores of 10 dimensions of SCL-90, including somatization (1.67, 1.58), interpersonal sensitivity (2.00, 1.89), anxiety (1.90, 1.70), obsessive-compulsive symptoms (2.20, 2.10), depression (2.00, 1.85), hostility (1.83, 1.67), terror (1.85, 1.71), paranoia (1.83, 1.67), psychotic (1.70, 1.60) and other (1.85, 1.71) dimensions among secondary vocational school students with or without left behind experience (Z=-5.15 to -2.84, P < 0.05). After propensity score matching, there were significant differences in scores remained only in three factors for interpersonal sensitivity [(2.00(1.56, 2.67), 2.00(1.44, 2.56)], paranoia [1.83(1.33, 2.50), 1.83(1.33, 2.33)] and psychoticism [1.70(1.30, 2.30), 1.70(1.20, 2.20)] in SCL-90 among secondary vocational students with or without left behind experience (Z=-2.45, -2.12, -2.23, P < 0.05).

The impact of left behind experience on the mental health of vocational school students is mainly reflected in interpersonal sensitivity, paranoia, and psychoticism, which should be identified as key areas of psychological education for secondary vocational school students.

To explore the influencing factors and network structure of aggressive behaviors among college students based on propensity score matching (PSM), so as to provide precise targeted interventions for the prevention and improvement of aggressive behaviors among college students.

A total of 2 652 college students were selected by convenient sampling method from three colleges in Wuhan, Hubei Province in June 2023. Questionnaire surveys were carried out by using the Buss-Warren Aggression Questionnaire (BWAQ), Ruminative Responses Scale (RRS), Cognitive Emotion Regulation Questionnaire-Chinese Version (CERQ-C), Family APGAR Index (APGAR), Brief Fear of Negative Evaluation Scale (BFNES).By bias score matching (PSM) for 1∶1 matching, univariate and multivariate Logistic regression analysis, and network analysis were conducted on the college students.

College students with higher levels of ruminant thinking, non-adaptive emotional regulation and fear of negative appraisal were more likely to have highly aggressive behaviors(OR=1.14, 1.18, 1.06), and those with higher adaptive emotional regulation and family care index were more likely to have highly aggressive behaviors (OR=0.88, 0.82)(P < 0.01). Network structure was significantly different between the two groups (M=0.27, P < 0.05). The core affective factors of college students with high levels of aggressive behavior were brooding reflective pondering and symptom rumination(EI=3.50, 3.49, 3.48), low aggressive behavior college students core affective factors were adaptive emotion regulation growth and non-adaptive emotion regulation(EI=4.37, 4.12, 4.08).

Factors affecting Chinese college students' aggressive behaviors are of different characteristics on different behaviour types, and targeted interventions should be adopted to reduce aggressive behaviors of college students.

To investigate the correlation between social jetlag and psychological behavior in upper primary school students, so as to provide reference for sleep health promotion in primary school students.

From April to June 2024, a survey was conducted among 4 341 fourth- and fifth-grade students from 9 public primary schools in a district in Beijing. Sleep patterns were assessed using a self-designed questionnaire, while psychological behavior was evaluated using the Strengths and Difficulties Questionnaire (SDQ)(parent version). A generalized estimating equation (GEE) model was used to examine the association between different levels of social jetlag and psychological behavior problem scores in primary school students.

The proportions of students with social jetlag of < 1.0, 1.0- < 2.0, and ≥2.0 h were 57.6%, 30.6%, and 11.8%, respectively. The GEE model analysis found that after adjusting for covariates, compared with primary school students with social jetlag of < 1.0 h, those with 1.0- < 2.0 and ≥2.0 h had higher scores for internalizing behavior problems [β(95%CI) =0.23(0.05-0.41), 0.28(0.02-0.54), P < 0.01]. Primary school students with ≥2.0 h of social jetlag had higher scores for externalizing behavior problems [β(95%CI)=0.42 (0.13-0.71), P < 0.01]. Among boys and primary school students with an average nighttime sleep duration of ≥9 h, comparied with social jetlag of < 1.0 h, those with sucial jetlag 1.0- < 2.0 h had higher scores on internalizing and externalizing behavior problems[β(95%CI)=0.32(0.07-0.56), 0.51 (0.11-0.90), 0.26 (0.06-0.46), 0.58 (0.25-0.91), P < 0.05].

Greater social jetlag may be a risk factor for internalizing and externalizing behavior problems in upper primary school students. Reducing social jetlag may help decrease the occurrence of psychological behavior problems in primary school students.

To explore the relationship between psychological resilience and attention bias towards negative information in secondary vocational school students, so as to provide reference for developing their mental health work.

In May, 2024, 177 secondary vocational students were selected from the technical secondary vocational school by convenient sampling method. The experiment utilized a mixed experimental design of 2 (group: high psychological resilience group, low psychological resilience group) ×2 (type of stimulus: negative stimulus, neutral stimulus). Adolescents were divided into the high psychological resilience group (n=32) and the low psychological resilience group (n=31) based on their scores from the Adolescent Psychological Resilience Scale. Both groups completed the classical dot-probing task, with correct rate, reaction time serving and attention biasvalues as primary indicators to assess attention bias. Repeated measures ANOVA was used to compare the reaction time and accuracy of attention bias tasks between two groups of participants, and Pearson correlation analysis was performed on the five dimensions of psychological resilience and attention bias values.

The low resilience group exhibited significantly faster response time to negative stimuli compared to neutral stimuli [(579.11±85.44, 586.13±78.92)ms, F(1, 61)=5.93, P < 0.05]. Additionally, the accuracy of responses to negative stimuli in the low resilience group was significantly lower than that of neutral stimuli [(0.93±0.12, 0.95±0.09), F(1, 61)=12.81, P < 0.01]. Attention bias values were significantly higher in the low resilience group (7.03±18.43) compared to the high resilience group (-2.54±13.39) (t=2.36, P < 0.05). Pearson correlation analysis revealed a marginally significant negative correlation between the interpersonal assistance (2.85±0.77) and attention bias values (2.20±16.65) (r=-0.25, P < 0.05).

Secondary vocational school students with low psychological resilience showed a significant attention bias towards negative emotional stimuli, which may render them more susceptible to such stimuli.

To explore the association between sleep quality and cardiorespiratory fitness among secondary school students, so as to provide a reference for promoting the overall development of physical and mental health of Chinese adolescents.

From September to December 2023, 5 713 secondary school students aged 13 to 18 years were selected by the stratified cluster random sampling method from Shanghai, Suzhou, Taiyuan, Wuyuan, Xingyi, and Urumqi, respectively. Sleep quality and cardiorespiratory fitness level of secondary school students were evaluated by Pittsburgh Sleep Quality Index(PSQI) combined with cardiorespiratory fitness test, and the association between sleep quality and cardiorespiratory fitness was analyzed by Pearson's correlation and multivariate linear regression.

The report rate of poor sleep quality among secondary school students was 33.7%(1 926/5 713). The PSQI scores of girls aged 13-18 years were higher than those of boys (χ²=1.60, 12.78, 15.62, 3.04, 10.09, 13.65) (P < 0.05). The 20 m SRT of secondary school students was 40 (27, 51) times, and the VO₂max was 46.27 (40. 84, 51.30) mL/(kg · min). The 20 m SRT and VO₂max of girls of all ages were lower than those of boys(Z=-15.27 to -6.41, -18.06 to -14.07, P < 0.05). Cardiorespiratory fitness (VO₂max) was negatively correlated with sleep duration and hypnotic medication scores in boys (r=-0.032, -0.005); VO₂max was negatively correlated with sleep duration and daytime dysfunction scores in girls (r=-0.028, -0.008) (P < 0.05). After controlling the related variables, linear regression analysis showed that the total PSQI score was negatively correlated with VO₂max among secondary school students(β=-0.347, P < 0.01).

Secondary school students with better sleep quality have higher levels of cardiorespiratory fitness. Sleep quality should be promoted to improve cardiorespiratory fitness levels in secondary school students.

To understand relationship of positive and negative peer events with mental health problems among college students, so as to provide a scientific basis for improving mental health level of college students.

A total of 1 640 freshmen to juniors were randomly selected from two universities in Anhui Province from October to November 2023 by a combination of convenience sampling and cluster random sampling method. The positive and negative peer events, self-perceived loneliness and stress levels, anxiety and depression symptoms of students were investigated by using the questionnaire star online. Group comparisons were conducted by using analysis of variance and Chi-square test, and multivariate binary Logistic regression and linear regression were used to analyze relationship of positive and negative peer events with mental health problems among college students.

About 35.4% of college students reported that they experienced at least one type of negative peer events, and 91.3% reported that they experienced at least one type of positive peer events. After controlling for covariates, multivariate regression analysis found that experiencing 1, ≥2 types of negative peer events were positively correlated with loneliness scores of college students (β=1.36, 4.04), as well as an increased risk of anxiety symptoms (OR=2.24, 4.33) and depression symptoms (OR=2.19, 4.01); and experiencing ≥2 types of negative peer events was positively correlated with stress scores of college students (β=1.12)(P < 0.05). Experiencing 5-6 and 7 types of positive peer events were negatively correlated with loneliness scores of college students (β=-1.79, -2.44) and stress (β=-0.75, -1.12); and experiencing 7 types of positive peer events were associated with a lower risk of anxiety symptoms (OR=0.74) and depressive symptoms (OR=0.80) (P < 0.05). The number of negative peer events was positively correlated with loneliness scores (β=0.80) and stress scores(β=0.24), as well as the risk of anxiety symptoms (OR=1.30) and depressive symptoms (OR=1.27) among college students (P < 0.05). The number of positive peer events involved was negatively correlated with loneliness scores(β=-0.39) and stress scores(β=-0.19), as well as the risk of anxiety (OR=0.92) and depressive symptoms (OR=0.93) among college students (P < 0.05). The analysis of the moderating effect found that in different groups of positive peer events, reporting 1, ≥2 negative peer events were positively correlated with loneliness scores of college students (β=1.08-4.96), as well as an increased risk of anxiety symptoms (OR=1.79-6.20) and depression symptoms (OR=1.78-6.77) (P < 0.05); and β and OR coefficients were highest in the group reporting 0-4 types of positive peer events, followed by the group reporting 5-6 types of positive peer events, with lowest coefficients in the group reporting 7 types of positive peer events.

Negative peer events are positively correlated with psychological problems in college students, and positive peer events are negatively correlated with mental health problems. Positive peer events could alleviate the impact of negative peer events on mental health problems.

To explore the relationship between stigma and mental resilience in adolescent epilepsy patients and associated factors, so as to provide reference for future psychological intervention in adolescent patients with epilepsy.

A total of 295 adolescent patients with epilepsy from Wuhan Mental Health Center were enrolled as participants from February 2021 to October 2024. The stigma was evaluated by Kilifi Stigma Scale for Epilepsy (KSSE), and psychological resilience was evaluated by Connor-Davidson Resilience Scale (CD-RISC). Associated factors of stigma and psychological resilience in adolescent patients with epilepsy were analyzed by multivariate Logistic regression analysis.

In the adolescent patients with epilepsy, KSSE score was (10.90±4.13) points, with 138 cases (46.78%) at low level, 154 cases (52.20%) at moderate level and 3 cases (1.02%) at high level. CD-RISC score was (50.19±5.97) points, there were 170 cases (57.63%) at low level and 125 cases (42.37%) at high level. Multivariate Logistic regression analysis showed that disease course >3 years (OR=2.22), family history of epilepsy (OR=4.18), monthly family income ≤5 000 yuan (OR=2.05), single parent family (OR=2.46) and middle and high stigma level (OR=1.72) had a higher risk on low level of mental resilience (P < 0.05). The course of disease >3 years (OR=2.20), family history of epilepsy (OR=3.54), general seizure (OR=2.12), monthly family income ≤5 000 yuan (OR=2.70), low level of mental resilience (OR=2.03) of adolescent epilepsy patients showed a high risk on moderate-high level of stigma (P < 0.05).

The stigma level is higher, while psychological resilience is lower in adolescent patients with epilepsy. Clinically, targeted intervention should be implemented based on related factors such as stigma in addescent patients with epilepsy.