The purposes of this study was to assess the youth mental health after the coronavirus disease 19 (COVID-19) occurred in China two weeks later, and to investigate factors of mental health among youth ...groups. A cross-sectional study was conducted two weeks after the occurrence of COVID-19 in China. A total of 584 youth enrolled in this study and completed the question about cognitive status of COVID-19, the General Health Questionnaire(GHQ-12), the PTSD Checklist-Civilian Version (PCL-C) and the Negative coping styles scale. Univariate analysis and univariate logistic regression were used to evaluate the effect of COVID-19 on youth mental health. The results of this cross-sectional study suggest that nearly 40.4% the sampled youth were found to be prone to psychological problems and 14.4% the sampled youth with Post-traumatic stress disorder (PTSD) symptoms. Univariate logistic regression revealed that youth mental health was significantly related to being less educated (OR = 8.71, 95%CI:1.97–38.43), being the enterprise employee (OR = 2.36, 95%CI:1.09–5.09), suffering from the PTSD symptom (OR = 1.05, 95%CI:1.03–1.07) and using negative coping styles (OR = 1.03, 95%CI:1.00–1.07). Results of this study suggest that nearly 40.4% of the youth group had a tendency to have psychological problems. Thus, this was a remarkable evidence that infectious diseases, such as COVID-19, may have an immense influence on youth mental health. Therefor, local governments should develop effective psychological interventions for youth groups, moreover, it is important to consider the educational level and occupation of the youth during the interventions.
This study aims to explore the relationship between psychological distress and post-traumatic stress disorder among Chinese participants as the result of COVID-19 outbreak. This study was conducted ...within 1 month after COVID-19 appeared in China, it included 570 participants age from 14 to 35. The results indicated that 12.8% of all participants with the symptoms of post-traumatic stress disorder and the effects of psychological distress on post-traumatic stress disorder was mediated by negative coping style. Gender moderated the direct effect between psychological distress and post-traumatic stress disorder, which is a significant discovery for relevant departments to take further measures.
Background:
It is well known that some lifestyle-related behaviors are related to depressive symptoms, but the unique and cumulative effects of lifestyle-related behaviors on depressive symptoms ...among Chinese adolescents are still controversial.
Aims:
The aims of this study were to examine the unique and cumulative effects of lifestyle-related behaviors on depressive symptoms among Chinese adolescents, and explored the potential influences of gender difference on these associations.
Methods:
We conducted a cross-sectional study among 3967 Chinese adolescents aged 11 to 19 from Jilin, China during September and October of 2018. Students reported their lifestyle factors including sleep duration, time spent on computer, time spent on television, time spent on homework, eating breakfast, smoking, drinking, physical activity, and outdoor activity. Depressive symptoms were measured using the Center for Epidemiologic Studies Depression Scale (CES-D).
Results:
The prevalence of depressive symptoms was 28.2% among Chinese adolescents. Multivariate logistic regression analysis revealed that sleep duration <8 hour/day, time spent on homework ⩾3 hour/day, skipping breakfast, alcohol use, physical activity <3 days/week, and outdoor activity <2 hour/day were positively associated with depressive symptoms in both girls and boys. Time spent on computer ⩾2 hour/day was an independent risk predictor for depressive symptoms in males, while smoking only showed higher risk of depressive symptoms in females. There was an additive relationship between the lifestyle risk index scores and the risk of depressive symptoms for both genders, the relationship being strongest among females.
Conclusion:
The important role of lifestyle factors should be taking into consideration when create intervention programs to prevent and reduce depressive symptoms among adolescents. In addition, preventive interventions may need to focus on gender-informed approaches when targeting multiple lifestyle factors.
The present study aimed to determine the mediating effects of depression and anxiety on the association between life satisfaction and quality of life. We used the Patient Health Questionnaire ...(PHQ-9), Generalized Anxiety Disorder Scale (GAD-7), and EuroQol Five Dimensions Questionnaire (EQ-5D) to measure depression, anxiety, and quality of life, respectively. A single question was used to measure the life satisfaction of participants. Life satisfaction was significantly related with depression (r = −0.17), anxiety (r = −0.18), and quality of life (r = 0.19). Depression and anxiety were also related to quality of life. Depression and anxiety had full mediating effects (β = −0.274; β = −0.208) on the association between life satisfaction and quality of life. For those with poor life satisfaction, people were more likely to have high level of depression and anxiety, which in turn experienced poor quality of life.
The study aimed to investigate the level of life satisfaction (LS) among Chinese female workers after resuming work during the COVID-19 epidemic, and to further explore the potential mediating and ...moderating roles in the association between family stress and LS. Self-reported questionnaires were completed by 10,175 participants. Results showed that the level of LS decreased. The family stress had a negative effect on LS, and the effect was mediated by anxiety symptoms. Additionally, age moderated the direct and indirect effects within this relationship. Interventions aiming to improve LS should consider these aspects and younger workers should be given special attention.
This study examined the correlation between depressive symptoms, interpersonal sensitivity, and social support before and during the COVID-19 pandemic and verified causal relationships among them. ...The study used Social Support Scale and Symptom Self-Rating Scale to investigate relevant variables. A total of 1,414 employees from company were recruited for this longitudinal study, which a follow up study was conducted on the same group of participants 1 year later. Paired sample
-test results showed that significant differences were only found in social support, not in depressive symptoms or interpersonal sensitivity. The results of correlation analysis showed that social support, depressive symptoms, and interpersonal sensitivity were significantly correlated between wave 1 and wave 2. The cross-lag autoregressive pathway showed that employees' social support level, depressive symptoms, and interpersonal sensitivity all showed moderate stability. Crossing paths showed that wave 1 social support could significantly predict wave 2 depressive symptoms (
= -0.21,
< 0.001) and wave 2 interpersonal sensitivity (
= -0.21,
< 0.001). Wave 1 depressive symptoms (
= -0.10,
< 0.01) could significantly predict wave 2 social support, while wave 1 interpersonal sensitivity (
= 0.07,
= 0.10) could not predict wave 2 social support. Social support can be considered as a protective factor against mental health problems.
This study aimed to explore the relationships between modifiable and non-modifiable factors that influence sleep quality in hospitalized patients with cardiovascular disease in China. This study ...design was cross-sectional and descriptive. This study involved a convenience sample of 242 patients hospitalized for cardiovascular issues. Hierarchical regression model and qualitative comparative analysis model were performed. Regression revealed that age and depression both had statistically significant effects on sleep quality. The combination of conditions with strongest predictive effect on sleep quality was male of younger age, high level of depression, high level of anxiety, and low level of social support. Other combinations with predictive power on sleep quality are as follows: (1) younger male patients (aged 47–63 years) with high level of anxiety, high level of social support, and low level of depression; (2) older male patients (aged 63–79 years) with high level of depression, high level of social support, and low levels of anxiety; and (3) older male patients with high level of anxiety and low level of social support. Nurses may promote primary and secondary prevention of cardiovascular health prior to hospitalization, through routine screening for depressive and anxious symptoms and assessment of the patient’s social support network. It is unknown whether these findings are unique to hospitalized patients. Therefore, future work should assess the fit of the model to other more diverse groups of hospitalized patients.
This study aims to examine the parallel multiple mediators of depressive symptoms and sleep quality in the relations between stress and physical health-related quality of life (PHQOL)/mental ...health-related quality of life (MHQOL) among the women in late pregnancy.
Of 1120 pregnant women participated in the cross-sectional study which consisted of Perceived Stress Scale, Edinburgh Postnatal Depression Scale, Pittsburgh Sleep Quality Index and MOS 12-item Short Form Health Survey. Parallel multiple mediator models were used to analyze the relations between stress, depressive symptoms, sleep quality and PHQOL/MHQOL.
The effect of perceived stress on PHQOL was partially through the indirect path of sleep quality (β=-0.061). But in the model for MHQOL, depressive symptoms and sleep quality played parallel mediators, and the indirect path effect of depressive symptoms (β=-0.179) was higher than sleep quality (β=-0.029).
The findings contributed to the understanding about the influential mechanism of stress on PHQOL/MHQOL. And it reminded the importance of sleep quality and depressive symptoms for improving QOL in late pregnancy.
This study explores the association between life satisfaction and depression among patients with cardiovascular diseases and whether this association is mediated by self-esteem. A cross-sectional ...study was conducted in a third-grade hospital. We examined 300 patients with cardiovascular diseases with a mean age of 62.00 years (females, 133). Life satisfaction was associated with depression. Adding self-esteem to the model weakened the strength of the association between the two. Moreover, 34.2% of the effect of life satisfaction on depression could be explained by self-esteem. We found that self-esteem could totally explain the effect of life satisfaction on depression among patients with cardiovascular diseases.
This study aimed to explore effects of night sleep duration and its relationships with health lifestyle, depressive symptoms and Internet addiction among high school students. In this study, we used ...multistage stratified random cluster sampling method. A total of 2149 adolescents aged 14–18 years old were recruited in the study. Associations among sleep duration and demographic characteristics, health lifestyle, depressive symptoms and Internet addiction among Chinese students were analyzed by univariate analysis and binary logistic regression analysis. Then, the structural equation model (SEM) was used to study the relationships between sleep duration and other variables. The mean sleep duration was (6.56 ± 1.15) hours. Approximately 16.0% of all participants had short sleep duration, and 20.5% had long sleep duration. Binary logistic regression analysis revealed that having more high sugar drinks and fried foods were positively associated with short sleep duration. Depressive symptoms not only directly had a negatively impact on sleep duration, but also had an indirect effect on sleep duration through Internet addiction. Sleep problems are common within the population of adolescents. Depressive symptoms was an important factor in the prevention of abnormal sleep duration, and interventions that target Internet addiction is key to reduce inadequate sleep.
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