BackgroundPsychological problems among children and adolescents have become a public health issue. This study aimed to investigate associations between screen time (ST), outdoor activity (OA), and emotional and behavioral health problems (EBHPs) among South Chinese children and adolescents.MethodsA total of 30,188 boys and girls from 14 elementary and junior high schools on six streets in Shenzhen were included in this study. EBHPs were measured with the strengths and difficulties questionnaire; OA and ST data were obtained through self-reporting. Descriptive analyses, chi-square tests, and logistic regressions were performed using SPSS 23.0.ResultsIn our study, 42.4% students had insufficient OA, 24.2% students had excessive ST, the abnormal prevalence of emotional symptoms, conduct problems, peer problems, hyperactivity problems, prosocial behavior, and total difficulties scales were 18.5%, 6.9%, 6.4%, 13.1%, 10.7% and 8.8%. There were significant associations between ST/OA, independent and addictive interaction, and EBHPs among children and adolescents. Participants with high exposure to ST were more likely to have EBHPs than those with low exposure; participants with low exposure to OA were also more likely to have EBHPs than those with high exposure. The interactive associations of ST and OA on EBHPs were stronger than those of ST or OA individually.ConclusionsOur results show positive associations between ST, OA, and EBHPs. They indicate that interventions should be considered for decreasing ST and increasing OA in children and adolescents.
Purpose: To describe the trajectories of health-risk behaviors (HRBs) among college students through four consecutive surveys and explore the relationship between chronotype, sleep duration and different trajectories of HRBs.Methods: We used a data sample of 1,042 college students from the College Student Behavior and Health Cohort Study. Students reported sleep parameters, including chronotype (Morning and Evening Questionnaire-5, MEQ-5) and sleep duration. The behavior scale was used to evaluate four HRBs (smoking, alcohol use, low physical activity, smartphone addiction). The latent class growth analysis (LCGA) was used to estimate the trajectory of self-reported HRBs. Multivariate logistic regression models were used to study whether sleep parameters (chronotype and sleep duration) correlated with HRBs' trajectories.Results: Four unique trajectories of behaviors were identified: unhealthy group (7.4%), increasing group (21.3%), decreasing group (10.3%) and healthy group (61.0%). Compared with the normal sleep, results from logistic regression analyses indicated that long sleep (>9 h) was associated with the decreasing group and the unhealthy group(p<0.05), while short sleep (<7 h) was associated with the increasing group and the unhealthy group(p<0.05). Compared with the M-types, the E-types were positively correlated with the unhealthy group, the increasing group, and the decreasing group (p<0.05).Conclusion: E-types and aberrant sleep duration (short and long sleep duration) were significantly associated with the trajectory of HRBs. Findings underscore the need for targeted screening and prevention of modifiable sleep behaviors with the aim of improving HRBs in college students.
Background: Previous researches have found a relationship between problematic mobile phone use (PMPU) and suicidality. However, few studies have examined the interaction effects between low physical activity (PA) and PMPU on suicidality among college students. This study aimed to examine the interactions of PA and PMPU and their impacts on suicidality in a school-based sample among Chinese college students. Methods: Analysis was based on data from two universities in China, which recruited 4,787 participants. Binary logistic regression models were used to explore the associations of PA, PMPU with suicidal ideation and suicide attempt, as well as the interactions of PA and PMPU on suicidality. Results: The prevalence of suicide attempt and suicidal ideation were 3.5% and 7.2%, respectively. Low PA was significantly associated with suicide attempt (OR=3.48, 95%CI: 2.52-4.81) and suicidal ideation (OR=1.90, 95%CI: 1.46-2.46). PMPU was significantly associated with suicide attempt (OR=3.65, 95%CI: 2.66-5.01) and suicidal ideation (OR=2.83, 95%CI: 2.25-3.54). Interaction analysis indicated that low PA and PMPU were interactively associated with suicide attempt (OR=9.51, 95%CI: 6.15-14.73), RERI=4.85(1.20-8.50), AP=0.51(0.29-0.73), SI=2.32(1.34-4.04). There were no additive interaction effects between PA and PMPU on suicidal ideation.Conclusions: The findings reveal that PA levels and PMPU should be considered in the intervention programs of suicide attempt among college students.
Background Previous research has found a relationship between problematic mobile phone use (PMPU) and suicidality. However, few studies have examined the interaction effects between low physical activity (PA) and PMPU on suicidality among college students. This study aimed to examine the interactions of PA and PMPU and their impact on suicidality in a school-based sample among Chinese college students. Methods Analysis is based on date from two university in China, which recruited 4,787 participants. Binomial logistic regression models were used to explore the associations of PA, PMPU with suicidal ideation and suicide attempt, as well as the interaction of PA and PMPU with suicidality. Results The prevalence of suicide attempt and suicidal ideation were 3.5% and 7.2%, respectively. Low PA was significantly associated with suicide attempt (OR = 3.48, 95%CI: 2.52–4.81) and suicidal ideation (OR = 1.90, 95%CI: 1.46–2.46). PMPU was significantly associated with suicide attempt (OR = 3.65, 95%CI: 2.66–5.01) and suicidal ideation (OR = 2.83, 95%CI: 2.25–3.54). Interaction analysis indicated that low PA and PMPU were interactively associated with suicide attempt (OR = 9.51, 95%CI: 6.15–14.73, P < 0.001), RERI = 4.85(1.20–8.50), AP = 0.51(0.29–0.73), SI = 2.32(1.34–4.04). There was no additive interaction effects between PA and PMPU on suicidal ideation. Conclusions The findings reveals that the intervention programs of suicide attempt should consider the students PA levels and PMPU.
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