Association between residential greenness and depression symptoms in Chinese community-dwelling older adults.

BACKGROUND: Studies of residential greenness and depression symptoms among community-dwelling older adults in China are limited. However, understanding the role of greenness in depression symptoms among older adults can inform depression prevention and interventions. OBJECTIVE: This study explored the relationship between residential greenness and depression symptoms among community-dwelling older adults in China. METHODS: A cluster random sampling method was used to survey 7512 community-dwelling adults aged 60 and above from three towns in Shanghai. Depression symptoms were assessed using the Geriatric Depression Scale (GDS30). Residential greenness was measured using the normalized difference vegetation index (NDVI) and the enhanced vegetation index (EVI). Long-term greenspace exposure was defined as the mean NDVI and EVI in the three years prior to the baseline survey. Controlling for the covariates, the relationship between greenness and depression symptoms was assessed using binomial logistic regression and mixed-effects linear regression. Interaction analysis was conducted to explore which covariates potentially alter the association. We also assessed the mediating role of physical activity. RESULTS: The prevalence of depression symptoms among the participants was 13.72%. Higher residential greenness was associated with lower odds of depression symptoms, after adjusting for covariates. In the logistic regression analysis, the odds of depression symptoms decreased with increasing NDVI and EVI. In linear regression analysis, GDS30 scores decreased with increasing NDVI and EVI. Interaction analyses revealed that higher NDVI and EVI were more protective against depression among male individuals and older adults living with others than among female individuals and older adults living alone. Additionally, physical activity had a masking effect on residential greenness and depression symptoms. CONCLUSION: Higher residential greenness is associated with lower odds of depression symptoms in community-dwelling Chinese older adults. Increasing urban and neighborhood green spaces may contribute to the prevention and intervention of depression symptoms in community-dwelling older adults.

The mechanisms underlying the negative effect of socioeconomic status on depressive symptoms among older adults: The roles of social support and living arrangement.

OBJECTIVES: Previous studies have found an association between socioeconomic status (SES) and depressive symptoms among older adults, however the mechanisms underlying this association remained unclear. This study aimed to examine the mediating role of social support and the moderating role of living arrangement in the association between SES and depressive symptoms. METHODS: Data was collected from the 2020 Household Health Interview Survey in Taian city, Shandong Province, China. A total of 3896 older adults aged 60 and above were included in this study. Depressive symptoms was measured by the Patient health Questionnaire-9 (PHQ-9), Social support by the Multidimensional Scale of Perceived Social Support (MSPSS), and other variables by related demographic scales. The moderated mediation model was examined using HAYES PROCESS 3.5. RESULTS: SES negatively predicted depressive symptoms among older adults, and social support could mediate this association. Living arrangement played a moderating role in the relationship between social support and depressive symptoms (the second half of the mediating effect), and the effect was stronger among older adults who lived alone. CONCLUSIONS: Social support partially mediated the relationship between SES and depressive symptoms among older adults, and living alone strengthened the effect of social support on depressive symptoms. Interventions that address older adults' social support and living arrangement may ameliorate depressive symptoms among older adults.

Social support and cognitive function in Chinese older adults who experienced depressive symptoms: is there an age difference?

Objective: This study examined the moderating effect of overall social support and the different types of social support on cognitive functioning in depressed older adults. We also investigated whether the moderating effect varied according to age. Methods: A total of 2,500 older adults (≥60 years old) from Shanghai, China were enrolled using a multistage cluster sampling method. Weighted linear regression and multiple linear regression was utilized to analyze the moderating effect of social support on the relationship between depressive symptoms and cognitive function and to explore its differences in those aged 60-69, 70-79, and 80 years and above. Results: After adjusting for covariates, the results indicated that overall social support (ß = 0.091, p = 0.043) and support utilization (ß = 0.213, p < 0.001) moderated the relationship between depressive symptoms and cognitive function. Support utilization reduced the possibility of the cognitive decline in depressed older adults aged 60-69 years (ß = 0.310, p < 0.001) and 80 years and above (ß = 0.199, p < 0.001), while objective support increased the possibility of cognitive decline in depressed older people aged 70-79 years (ß = -0.189, p < 0.001). Conclusion: Our findings highlight the buffering effects of support utilization on cognitive decline in depressed older adults. We suggest that age-specific measures should be taken when providing social support to depressed older adults in order to reduce the deterioration of cognitive function.

Relative deprivation, depression and quality of life among adults in Shandong Province, China: A conditional process analysis based on social support.

BACKGROUND: Relative deprivation has been confirmed as one of the pathways underlying the link between income inequality and health. However, the mechanism between relative deprivation and health was still unclear. This study aimed to test the mediating role of depression and the moderating role of social support in the association between relative deprivation and quality of life. METHODS: Data were collected from the 2020 Household Health Interview Survey in Taian City, Shandong province. In total, 8496 adults were included to complete the measures of relative deprivation, depressive symptoms, perceived social support, and quality of life. RESULTS: Relative deprivation was negatively associated with quality of life, and depressive symptoms could mediate this association. Furthermore, the direct effect of relative deprivation on quality of life and the indirect effect of depressive symptoms in this relationship were moderated by perceived social support. Both these two effects were stronger for individuals with a low level of perceived social support. LIMITATIONS: Data are cross-sectional, and causal conclusions cannot be drawn. All measures were based on participant self-report. CONCLUSIONS: Personal relative deprivation has negative effects on quality of life. Social support moderated the direct effect of relative deprivation and the mediating effect of depressive symptoms on quality of life. For individuals with a high level of relative deprivation, particularly those with a low level of social support, interventions tailoring psychological services and community-based activities could be designed to reduce relative deprivation and promote social support for disadvantaged individuals.

Network-Based Online Survey Exploring Self-Reported Depression Among University and College Students During the Early Days of the COVID-19 Outbreak.

Background: The psychology of university and college students is immature, they are thus more likely to suffer from depression due to the COVID-19 pandemic. The present study aims to investigate the self-reported depression status of Chinese university and college students and explore its influencing factors. Methods: We conducted a network-based online survey, and a total of 17,876 participants completed the questionnaire. Depression was measured by the Self-Rating Depression Scale (SDS). Univariate analysis and multivariate logistic analysis were performed to explore the influencing factors of self-reported depression symptoms. Results: The proportion of self-reported depression symptoms, mild self-reported depression symptoms, and moderate to severe (M/S) self-reported depression symptoms was 65.2, 53.7, and 11.5%, respectively. The mean score of self-reported depression was 54.8 ± 9.0. Female, personality type of partial introversion, junior college educational level, "moderate" or "high" self-perceived risk of infection, "moderately" or "highly" impacted by the outbreak, and being eager to go back to school were risk factors for M/S self-reported depression symptoms (p < 0.05). While, "moderate" or "high" concern about the outbreak, "moderate" or "high" satisfaction with pandemic prevention and control measures, and having health literacy on communicable diseases were protective factors for M/S self-reported depression symptoms (p < 0.05). Conclusion: The status of self-reported depression symptoms among university and college students was severer than expected, and the influencing factors were multifaceted. Government and school administrators should strengthen the dissemination of knowledge on disease prevention and control. Moreover, much attention should be paid to female and junior college students.

Online-Based Survey on College Students' Anxiety During COVID-19 Outbreak.

PURPOSE: Studies have suggested that public health emergencies can have many psychological effects on college students, therefore, the aim of this study is to investigate current situation of college students' anxiety and its determinants in the time of an unexpected pandemic. PATIENTS AND METHODS: We conducted convenience sampling to collect the data through network-based online questionnaires in February 2020, a total of 17,876 college students were included in the analysis. Chi-square test and multivariate logistic were used to identify the associations between the outbreak experiences and anxiety detection. RESULTS: This study found that detection rate of anxiety among college students was 18.2%. The differences in male students, students whose self-perceived risk of infection were high, who were greatly affected by the outbreak, eager to go back to school, reluctant to leave home and stay at home enough were of statistical significance among different anxiety level (OR>1, P<0.05). And the severe anxiety rate of students who living in cities was significantly higher (2.337[1.468, 3.721]). CONCLUSION: Although our results show that anxiety among college students was at a low level, various universities should focus on the online activities and develop appropriate epidemic management plans to prevent their feelings of worry, tension and panic.

Positive and negative affect of university and college students during COVID-19 outbreak: a network-based survey.

OBJECTIVES: To understand the status of positive affect (PA) and negative affect (NA) on university and college students, and to explore the determinants during the COVID-19 outbreak. METHODS: Our data were from network-based survey, and 17,876 participants completed the questionnaire. t test, one-way ANOVA and multiple linear regression model were performed using PANAS (Positive and Negative Affect Schedule) score as the dependent variable. RESULTS: Of 17,876 participants, the mean score of PA was 25.5 ± 7.3, while NA was 19.1 ± 7.1. Multiple linear regression models showed that there are some common determinants of PA and NA, such as education, health literacy on communicable diseases, satisfaction with measures for epidemic prevention and control, risk of infection, impact of the outbreak on daily life, sleep duration and frequency of hand washing in the past 2 weeks. Besides, whether the student is a medical major and whether outing in the past 2 weeks were specific determinants of PA, and frequency of masks wearing was specific determinant of NA. CONCLUSIONS: The outbreak of COVID-19 is detrimental to university and college students' affect. During the outbreak response, we should strengthen the guidance and regulation for negative affect and pay attention to improving the positive affect of university and college students.