BackgroundStudies have found that poor sleep quality is negatively associated with subjective wellbeing in older adults, but the mechanisms underlying are unclear. In this study, we aimed to examine the mediating role of negative emotions and the moderating role of perceived social support in the relationship between sleep quality and subjective wellbeing in older adults with multimorbidity.MethodsA multi-stage random sampling method was used to select a sample of 3,266 older adults aged 60 years and older. The Memorial University of Newfoundland Scale of Happiness (MUNSH), Pittsburgh Sleep Quality Index (PSQI), Depression Anxiety Stress Scales-21 (DASS-21), and Perceived Social Support Scale (PSSS) were used to assess subjective wellbeing, sleep quality, negative emotional states, and perceived social support, respectively. The moderated mediation models were examined using SPSS PROCESS Version 3.3 software.ResultsSleep quality had a significant direct effect on subjective wellbeing in older adults (β = −0.997, t = −11.783, p < 0.001). Negative emotions partially mediated the effect of sleep quality on subjective wellbeing (ab = −0.608, 95%CI: −0.728, −0.497). The indirect effect was moderated by perceived social support (β = −0.038, 95%CI: −0.062, −0.014, p < 0.001; β = −0.002, 95%CI: −0.004, −0.01, p = 0.008).ConclusionNegative emotions increased the negative association between sleep quality and the subjective wellbeing of older adults with multimorbidity, and perceived social support played a moderating role. Psychological and behavioral interventions should be implemented as early as possible to promote mental health and enhance social support level of older adults with multimorbidity, and ultimately improve the subjective wellbeing of older adults.

Aims: This study examined how the mediating effect of psychological distress and the moderating role of social support influence the connection between psychological capital and turnover intention among Chinese nurses.Background: Nurses play a crucial role in medical and health services, but turnover intentions are common among them.Methods: A cross-sectional survey was conducted involving 4865 nurses in China.The Chinese Psychological Capital Questionnaire, Depression, Anxiety and Stress Scale, Social Support Rating Scale, and Turnover Intention Scale were used to gather data. Bootstrap and simple slope methods were used to test the mediating effect of psychological distress and the moderating effect of social support.Results: Psychological capital had a significant direct impact on turnover intention among nurses (B = À0.040, t = À10.032, p < .001). Psychological distress had a mediation effect of 46.89% between psychological capital and turnover intention.Moreover, social support had a moderating role in the relationship between psychological distress and psychological capital and between psychological distress and turnover intention.Conclusions: Psychological capital correlated negatively with psychological distress and turnover intention and indirectly influenced turnover intention through psychological distress. Social support moderated the first and second half of the path in the mediating model of psychological distress. These findings have implications for early intervention for and the prevention of turnover intention in nurses.Implications for Nursing Management: This study's findings can inform the design of effective nurse support programmes to reduce the impact of psychological distress on turnover intention among nurses.

IntroductionMultimorbidity has become a global public health concern that can cause serious damage to the health status of older adults. This study aimed to investigate the impact of socioeconomic status (SES) and sleep quality on the prevalence of multimorbidity in older adults, thus providing a reference for reducing the risk of the prevalence of multimorbidity and improving the health of older adults.MethodsA multi-stage random sampling method was used to conduct a questionnaire survey on 3,250 older adults aged 60 years and above in Shanxi Province, China. The chi-square test and multiple logistic regression models were used to analyze the association of SES and sleep quality with the prevalence of multimorbidity of older adults.ResultsThe prevalence of multimorbidity was 30.31% in older adults aged 60 years and above in Shanxi Province, China. After adjusting for confounders, very low SES (OR = 1.440, 95% CI: 1.083–1.913) and poor sleep quality (OR = 2.445, 95% CI: 2.043–2.927) were associated with the prevalence of multimorbidity. Older adults with low SES and poor sleep quality had the highest risk of the prevalence of multimorbidity (OR = 3.139, 95% CI: 2.288–4.307).ConclusionsSES and sleep quality are associated with the prevalence of multimorbidity in older adults, and older adults with lower SES and poorer sleep quality are at higher risk for the prevalence of multimorbidity.

ObjectiveAfter the unprecedented coronavirus disease 2019 (COVID-19) outbreak, the health status of the general population has suffered a huge threat, and the mental health of front-line healthcare providers has also encountered great challenges. Therefore, this study aims to: (1) investigate the prevalence and influencing factors of post-traumatic stress disorder (PTSD) among healthcare providers, and (2) verify the moderating role of self-efficacy in the influence of PTSD on mental health.MethodsA cross-sectional study was conducted using an online survey of 1993 participants. The presence of depression, anxiety, self-efficacy, and PTSD was evaluated using screening tests from March 1. Sociodemographic and COVID-19-related data were also collected. A data analysis was performed using descriptive statistics, Pearson's correlation coefficient, and multiple linear regression.ResultsThe prevalence of PTSD among healthcare providers was 9.3%. PTSD was negatively correlated with self-efficacy (r = −0.265, P &lt; 0.01), anxiety (r = −0.453, P &lt; 0.01), and depression (r = 0.708, P &lt; 0.01). Profession, daily working hours, maximum continuous working days, and daily sleep time were influencing factors of PTSD. A binary logistic regression analysis showed that physicians (OR = 2.254, 95% CI = 1.298, 3.914) and nurses (OR = 2.176, 95% CI = 1.337, 3.541) were more likely to experience PTSD than other healthcare providers.ConclusionSelf-efficacy has a moderating effect on the influence of PTSD on anxiety and depression. This suggests that health managers need to respond to the current psychological crisis of healthcare providers, implement appropriate psychological interventions, and minimize the psychological harm caused by COVID-19.

Adolescents' sleep problems and their association with mental health is an important public health concern. This study aimed to investigate sleep and mental health status and the association of sleep with mental health in Chinese high school students. Data came from a cross-sectional study in Guangdong province which included 42,077 high school students. Sleep quality and sleep duration were obtained through selfreport. The Depression Anxiety and Stress Scale (DASS-21) was used to measure mental health. The association between sleep quality, sleep duration, and mental health was analysed using logistic regression. The prevalence of depression, anxiety, and stress symptoms were 35.27%, 42.32%, and 21.87% in high school students, respectively. And only 17.71% and 34.41% of the high school students had very good sleep quality and ≥8 h sleep duration, respectively. Poorer sleep quality and shorter sleep duration were risk factors for mental health problems in high school students.Compared to high school students with very good sleep quality and ≥8 h sleep duration, the high school students with poor or very poor sleep quality and <6 h sleep duration had the highest risk of depression symptoms (odds ratio [OR] 5.02, 95% confidence interval [CI] 4.40-5.72), anxiety symptoms (OR 6.02, 95% CI5.25-6.89), and stress symptoms (OR 6.12, 95% CI5.30-7.06). Considering the combined association of sleep quality and sleep duration on mental health, it is important not only to ensure that high school students have sufficient sleep duration, but also to improve their sleep quality.