Purpose: From the perspective of positive psychology, our study aimed to explore depressive symptomsand psychological well-being among Chinese nurses, as well as analyze the impacts of characterstrengths, self-efficacy and social support on the mental health of nurses. Methods: A cross-sectional and descriptive design using five self-reported questionnaires was used toinvestigate a cohort of 4238 nurses during 2018. A structural equation modeling analysis was used toverify a hypothetical model linking character strengths, self-efficacy, social support, depressive symptoms,and psychological well-being. Results: The prevalence of depression among this cohort of Chinese nurses was 58.1%. The mean scoresfor caring, inquisitiveness, and self-control were 19.93 (SD = 2.82), 15.94 (SD = 3.00), and 16.34(SD = 2.95), respectively. The hypothesized model was a good fit of the data (x2/df = 1.77, p = .183, rootmean square error of approximation = 0.04, goodness of fit index = 1.00, comparative fit index = 1.00,TuckereLewis index = 1.00). Except for the path from self-control to depression, the other hypotheticalpaths investigated were statistically significant. Conclusion Character strengths were directly and positively associated with psychological well-being.Inquisitiveness was the strongest direct protective factor for depression. In addition, characterstrengths indirectly alleviated depression and increased psychological well-being through mediatingvariables of social support and self-efficacy. This study should alert nurse managers that more attentionshould be paid to the character strengths and mental health of nurses. This study provides evidence forinterventions based on character strengths as a management strategy to support the mental health ofnurses.

Purpose: From the perspective of positive psychology, our study aimed to explore depressive symptomsand psychological well-being among Chinese nurses, as well as analyze the impacts of characterstrengths, self-efficacy and social support on the mental health of nurses. Methods: A cross-sectional and descriptive design using five self-reported questionnaires was used toinvestigate a cohort of 4238 nurses during 2018. A structural equation modeling analysis was used toverify a hypothetical model linking character strengths, self-efficacy, social support, depressive symptoms,and psychological well-being. Results: The prevalence of depression among this cohort of Chinese nurses was 58.1%. The mean scoresfor caring, inquisitiveness, and self-control were 19.93 (SD = 2.82), 15.94 (SD = 3.00), and 16.34(SD = 2.95), respectively. The hypothesized model was a good fit of the data (x2/df = 1.77, p = .183, rootmean square error of approximation = 0.04, goodness of fit index = 1.00, comparative fit index = 1.00,TuckereLewis index = 1.00). Except for the path from self-control to depression, the other hypotheticalpaths investigated were statistically significant. Conclusion Character strengths were directly and positively associated with psychological well-being.Inquisitiveness was the strongest direct protective factor for depression. In addition, characterstrengths indirectly alleviated depression and increased psychological well-being through mediatingvariables of social support and self-efficacy. This study should alert nurse managers that more attentionshould be paid to the character strengths and mental health of nurses. This study provides evidence forinterventions based on character strengths as a management strategy to support the mental health ofnurses.

Objective: The current study aims to explore precipitating and social risk factors for internet addiction (IA) in university undergraduate students, and to provide evidence for interventions and the early prevention of IA in different genders. Methods: Four thousand eight hundred and fifty-eight college sophomores completed an online survey on their internet use-related behaviours and social risk factors. Results: We found that more male (8.3%) than female students (5.4%) had moderate and severe IA. The main online activity in the moderate and severe IA groups was online gaming in males and online streaming in females. Roommates engaging in similar internetbased entertainment was a risk factor of IA only for males, while not being in a romantic relationship was a risk factor of IA for females only. Infatuation with the internet before college and adjustment problems for college life were shared risk factors for both genders in the mild and moderate IA groups. Conclusion IA was a common phenomenon in college students with shared and unique precipitating and social risk factors in males and females. The gender-sensitive risk factors for IA warranted earlier and individualized intervention and prevention strategies for IA in this population.

Objective: The current study aims to explore precipitating and social risk factors for internet addiction (IA) in university undergraduate students, and to provide evidence for interventions and the early prevention of IA in different genders. Methods: Four thousand eight hundred and fifty-eight college sophomores completed an online survey on their internet use-related behaviours and social risk factors. Results: We found that more male (8.3%) than female students (5.4%) had moderate and severe IA. The main online activity in the moderate and severe IA groups was online gaming in males and online streaming in females. Roommates engaging in similar internetbased entertainment was a risk factor of IA only for males, while not being in a romantic relationship was a risk factor of IA for females only. Infatuation with the internet before college and adjustment problems for college life were shared risk factors for both genders in the mild and moderate IA groups. Conclusion IA was a common phenomenon in college students with shared and unique precipitating and social risk factors in males and females. The gender-sensitive risk factors for IA warranted earlier and individualized intervention and prevention strategies for IA in this population.