The independent and combined effects of physical activity and depressive symptoms on frailty in community-dwelling older adults: A cross-sectional study.

AIMS: To investigate the independent and combined effects of physical activity (PA) and depressive symptoms on the risk of frailty in community-dwelling older adults. BACKGROUND: Older adults face a high risk of frailty which is commonly used to predict adverse health outcomes in older patients. Engaging in PA and without depressive symptoms are crucial factors to prevent frailty. It is essential to investigate the independent and combined effects of these two variables on the risk of frailty. METHODS: We included 3392 community-dwelling older adults. The FRAIL Scale was used to assess older adults' frail status (robust, prefrail and frail). Multiple logistic regression was utilized to examine the independent and combined effects of PA and depressive symptoms on the risk of prefrailty and frailty. The combined effects were visualized by marginal plots. RESULTS: The prevalence of prefrailty and frailty in older adults were 42.16% and 10.58%. Compared with the group of "Light physical activity and With depressive symptoms", "Vigorous physical activity and Without depressive symptoms" had the lowest risk of prefrailty and frailty. CONCLUSIONS: Older adults who do not engage in PA or have depressive symptoms increased the risk of frailty, but older adults with depressive symptoms could lower the risk of frailty through PA. RELEVANCE TO CLINICAL PRACTICE: It is effective to reduce the risk of frailty by directing older adults to do moderate physical activity, although they have depressive symptoms. The focus should also be on older adults with depressive symptoms, who have at least more than twice and fourfold risk of prefrailty and frailty compared to those without. IMPACT: This study offers insights for future interventions aimed at preventing frailty in older adults. REPORTING METHOD: This study adhered to the STROBE checklist. PATIENT OR PUBLIC CONTRIBUTIONS: Older adults participated in this study and completed questionnaires.

The impact of intimate partner violence on depressive symptoms among college students: A moderated mediation model of the big five personality traits and perceived social support.

BACKGROUND: Previous study has identified a connection between intimate partner violence (IPV) and depressive symptoms. However, the underlying mechanisms of this connection have not yet been well understood. The aim of this study was to investigate the roles of big five personality traits and perceived social support on the association between IPV and depressive symptoms among Chinese college students. METHODS: A cross-sectional questionnaire survey was conducted among college students in 23 provinces, 5 autonomous regions, and 4 municipalities in China from June to August 2022. Intimate Partner Violence Questionnaire was used to measure the frequency of exposure to IPV. The big five personality traits were measured by 10-item Big Five Inventory, Perceptive Social Support Scale-3 items was used to estimate the degree of perceived social support and the data on depressive symptoms were collected by Patient Health Questionnaire-9 items. We used data from the "Psychology and Behavior Investigation of Chinese Residents in 2022", which includes 6686 valid questionnaires of college students. The PROCESS macro developed by Hayes was utilized to perform moderated mediation analysis. RESULTS: Among college students, IPV had a significant direct impact on depressive symptoms. Extroversion, agreeableness, conscientiousness and neuroticism mediated the association between IPV and depressive symptoms (ß = -0.08, P < 0.001; ß = -0.08, P < 0.001; ß = -0.14, P < 0.001; ß = 0.20, P < 0.001). Perceived social support significantly moderated the mediating role of the big five personality traits between IPV and depressive symptoms. Furthermore, perceived social support moderated the direct relationship between IPV and depressive symptoms (ß = 0.34, P < 0.001), as well as the indirect path of extroversion, agreeableness, neuroticism and the first half of the mediating role of conscientiousness. Moreover, perceived social support was one of the preventive factors that could effectively mitigate the harmful effects of IPV, neuroticism and depressive symptoms. LIMITATIONS: As this was a cross-sectional study, we were unable to investigate causal relationships between variables. The prevalence of IPV and depressive symptoms were self-reported by the college students, and there may be reporting bias. Additionally, this study only explored the influence and mechanism from the integrated dimension of IPV and PSSS, due to spatial constraints. CONCLUSIONS: The findings contribute to the existing understanding by clarifying the fundamental mechanisms linking IPV and depressive symptoms. These results may serve as a valuable reference for the Chinese government to improve mental health among college students.

Development and validation of a multimorbidity risk prediction nomogram among Chinese middle-aged and older adults: a retrospective cohort study.

OBJECTIVES: The aim of this study is to establish a self-simple-to-use nomogram to predict the risk of multimorbidity among middle-aged and older adults. DESIGN: A retrospective cohort study. PARTICIPANTS: We used data from the Chinese Longitudinal Healthy Longevity Survey, including 7735 samples. MAIN OUTCOME MEASURES: Samples' demographic characteristics, modifiable lifestyles and depression were collected. Cox proportional hazard models and nomogram model were used to estimate the risk factors of multimorbidity. RESULTS: A total of 3576 (46.2%) participants have multimorbidity. The result showed that age, female (HR 0.80, 95% CI 0.72 to 0.89), chronic disease (HR 2.59, 95% CI 2.38 to 2.82), sleep time (HR 0.78, 95% CI 0.72 to 0.85), regular physical activity (HR 0.88, 95% CI 0.81 to 0.95), drinking (HR 1.27 95% CI 1.16 to 1.39), smoking (HR 1.40, 95% CI 1.26 to 1.53), body mass index (HR 1.04, 95% CI 1.03 to 1.05) and depression (HR 1.02, 95% CI 1.01 to 1.03) were associated with multimorbidity. The C-index of nomogram models for derivation and validation sets were 0.70 (95% CI 0.69 to 0.71, p=0.006) and 0.71 (95% CI 0.70 to 0.73, p=0.008), respectively. CONCLUSIONS: We have crafted a user-friendly nomogram model for predicting multimorbidity risk among middle-aged and older adults. This model integrates readily available and routinely assessed risk factors, enabling the early identification of high-risk individuals and offering tailored preventive and intervention strategies.

Associations between internet addiction and psychological problems among adolescents: description and possible explanations.

Introduction: Internet addiction (IA) is becoming a significant public health issue that requires urgent attention, especially for adolescents. Previous studies mainly focused on the risk factors of Internet addiction and drawn some conclusions. The purpose of this study is to investigate the Internet addiction status and concurrent psychological problems in adolescent groups, and explore the differences in the relationship between IA and psychological problems in adolescents from gender and grade. Methods: A cross-sectional study was conducted among students of junior and senior high school in 21 prefecture-level cities of Guangdong Province. The Young Diagnostic Questionnaire (YDQ) and the validated Chinese version of the Depression Anxiety Stress Scale-21 (DASS-21) were used to assess participants' Internet addiction and psychological status. Two-way ANOVA was used to verify the interaction between gender and Internet addiction, grade and Internet addiction on psychological problems. When the interaction was statistically significant, simple effect analysis was further carried out. Results: The prevalence of problematic Internet use (PIU), depression, anxiety, and stress symptoms among adolescents were 16.32%, 30.16%, 35.97% and 18.80% respectively. Although the prevalence of PIU among boys (17.89%) was higher than that of girls (14.86%), girls in PIU group had the highest scores of depression, anxiety and stress. Similarly, the interaction between grade and Internet addiction was also significant (p < 0.05). Although the prevalence of PIU was the highest in grade 9 (17.29%), the adverse effects of Internet addiction on psychological problems were different in different grades. Discussion: Internet addiction was prevalent among adolescents in Guangdong province, and psychological problems also cannot be ignored. Thus, this study suggests that long-term follow-ups should be included in mental health programs of adolescents to monitor the development of Internet addiction and psychological problems.

The role of anxiety and depressive symptoms in mediating the relationship between subjective sleep quality and cognitive function among older adults in China.

BACKGROUND: Deterioration of cognitive function has a significant impact on the unavoidable burden on individuals, families, and society. This study aimed to examine the serial multiple mediating effects of anxiety and depressive symptoms on the relationship between subjective sleep quality and cognitive function among older adults in China. METHODS: We selected 6442 Chinese older adults aged 65 years and older from the 2018 Chinese Longitudinal Healthy Longevity Survey. The SPSS PROCESS macro was employed to perform simple and serial multiple mediation analyses. RESULTS: Subjective sleep quality, depressive symptoms, anxiety symptoms, and cognitive function were significantly related (P < 0.01). Poor sleep quality can have a direct negative influence on cognitive function among older adults (effect = -0.110; 95 % CI = [-0.166, -0.053]), but it can also have an indirect negative impact via three pathways: the independent mediation of anxiety symptoms (effect = -0.028; 95 % CI = [-0.048, -0.011]), the independent mediation of depressive symptoms (effect = -0.014; 95 % CI = [-0.026, -0.002]), and the serial mediation of anxiety and depressive symptoms (effect = -0.009; 95 % CI = [-0.017, -0.001]). LIMITATIONS: This study used a cross-sectional design, which restricts the ability to infer causal relationships. CONCLUSIONS: The effect of subjective sleep quality on cognitive function was serially mediated by anxiety and depressive symptoms among older adults. Diverse therapies targeted at improving sleep quality in older adults may improve mood and cognitive functioning.

Patterns and Determinants of Multimorbidity in Older Adults: Study in Health-Ecological Perspective.

(1) Background: Multimorbidity has become one of the key issues in the public health sector. This study aims to explore the patterns and health-ecological factors of multimorbidity in China to propose policy recommendations for the management of chronic diseases in the elderly. (2) Methods: A multi-stage random sampling method was used to conduct a questionnaire survey on 3637 older adults aged 60 and older in Shanxi, China. Association rule mining analysis (ARM) and network analysis were applied to analyze the patterns of multimorbidity. The health-ecological model was adopted to explore the potential associated factors of multimorbidity in a multidimensional perspective. A hierarchical multiple logistic model was employed to investigate the association strengths reflected by adjusted odds ratios and 95% confidence. (3) Results: Multimorbidity occurred in 20.95% of the respondents. The graph of network analysis showed that there were 6 combinations of chronic diseases with strong association strengths and 14 with moderate association strengths. The results of the ARM were similar to the network analysis; six dyadic chronic disease combinations and six triadic ones were obtained. Hierarchical multiple logistic regression indicated that innate personal traits (age, history of genetics, and body mass index), behavioral lifestyle (physical activity levels and medication adherence), interpersonal network (marital status), and socioeconomic status (educational level) were the common predictors of multimorbidity for older adults, among which, having no family history was found to be a relative determinant as a protective factor for multimorbidity after controlling the other covariates. (4) Conclusions: multimorbidity was prevalent in older adults and most disease combinations are associated with hypertension, followed by diabetes. This shows that diabetes and hypertension have a high prevalence among older adults and have a wide range of associations with other chronic diseases. Exploring the patterns and associated factors of multimorbidity will help the country prevent complications and avoid the unnecessary use of the health service, adopting an integrated approach to managing multimorbidity rather than an individual disease-specific approach and implementing different strategies according to the location of residence.

Effects of physical activity and use of digital devices on visual acuity in children and adolescents during the COVID-19 pandemic: A cross-sectional study.

Purpose: To determine the association between poor visual acuity, the use of digital devices and physical activity (PA) during the COVID-19 pandemic. Methods: A total of 327,646 Chinese children and adolescents were included in the analysis using a cluster random sampling method; this is a case-control study, of those 144,708 children and adolescents with poor visual acuity were included in the case group, while 182,938 who did not have poor visual acuity were included in the control group. A logistic regression model was used to assess the contribution of PA and the use of digital devices to poor visual acuity. Results: A total of 144,708 children and adolescents experienced poor visual acuity during the COVID-19 pandemic; 54.8% were male, and 55.2% live in rural areas. Compared to controls, children and adolescents with poor visual acuity exhibited more time for the use of digital devices (4.51 ± 2.44 vs. 3.79 ± 2.34 for cases and controls, respectively; P < 0.001) and PA (3.07 ± 0.92 vs. 2.85 ± 1.00 for cases and controls, respectively; P < 0.001). During the COVID-19 pandemic, risk factors related to poor visual acuity among children and adolescents included the use of digital devices (OR 1.135; 95% CI 1.132-1.139), and PA (OR 1.269; 95%CI 1.259-1.278). The results of interaction analysis show that for children and adolescents aged 12 to 17, the positive association between the use of digital devices and poor visual acuity decreased. The interaction effect between PA and digital devices is 0.987. Conclusions: Children and adolescents were at risk of poor visual acuity during the COVID-19 pandemic. Extended use of the digital devices increased the risk of poor visual acuity, especially for children aged 6-11 years. But the risk of poor visual acuity among children and adolescents decreases as the time spent on PA increases.

The impact of socioeconomic status and sleep quality on the prevalence of multimorbidity in older adults.

Introduction: Multimorbidity 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. Methods: A 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. Results: The 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). Conclusions: SES 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.

Effects of information sources on public preventive behaviors in health emergencies: Evidence from a digital epidemiologic study during the COVID-19 pandemic.

Introduction: It has been approved that information sources would affect public behaviors. However, due to the outbreak of COVID-19, this influence was enhanced and showed a distinctive pattern among different populations, which has been less noticed before. We aimed to investigate the potential roles of different information sources in COVID-19 preventive behaviors of different publics. Methods: A cross-sectional online survey with 11,190 participants from 33 province-level regions in China was conducted during the COVID-19 pandemic. Sociodemographic characteristics, COVID-19 preventive behaviors, and information sources for COVID-19-related information were assessed. A mixed linear model was used to analyze risk factors of COVID-19 preventive behaviors. The effects of different information sources on COVID-19 prevention behaviors of different publics were analyzed. Results: Generally, the Chinese public had good COVID-19 preventive behaviors, and the top three COVID-19 preventive behaviors with the higher action rate were avoiding eat bushmeat (76.1%), a healthy diet (74.8%), and avoiding contact with people with symptoms of respiratory diseases (73.0%). About information sources, 12320 telephone (National Public Health Hotline) (-0.62, 95% CI: -0.94 to -0.31) and acquaintances consulting (-1.00, 95% CI: -1.31 to -0.69) were negatively associated with COVID-19 preventive behaviors, while internet resources, family doctors, hospitals, and community health centers were positively associated with COVID-19 preventive behaviors (1.00 vs. 0.47 vs. 0.46 vs. 0.33, P < 0.05). For older adults, accessing to COVID-19-related information through family doctors and community health centers were positively associated with COVID-19 preventive behaviors. For the non-educated, family doctors and community health centers had positive effects on their COVID-19 preventive behaviors. Family doctors and internet resources were positively associated with COVID-19 preventive behaviors among those earning 5,000 yuans and above. The effects of family doctors, hospitals, and internet resources were higher for COVID-19 preventive behaviors of urban publics than for rural publics. Finally, the effect of internet resources on COVID-19 preventive behaviors of females was lower than males. Conclusions: Obtaining COVID-19-related information through internet resources had the most significant effect on COVID-19 preventive behaviors, but was not significant among publics with old age, low education, low income, and living in rural area.

Differences in Health-Related Quality of Life and Its Associated Factors Among Older Adults in Urban and Rural Areas.

Purpose: Urban-rural health disparity is one of the most prominent challenges in China today. The goal of this study is to find differences in health-related quality of life (HRQoL) and its associated factors among older people in urban and rural areas. Methods: A multi-stage stratified sampling method was conducted in Shanxi Province, with a total of 3250 older adults participated in this cross-sectional survey. HRQoL was assessed using the Chinese version of the EQ-5D-5L. Tobit regression models were employed to identify associated factors for HRQoL. Results: The mean EQ-5D utility score of the total sample was 0.87± 0.23, with a statistically significant difference observed between urban (0.89 ± 0.22) and rural areas (0.86 ± 0.23). Obesity (Coe=-0.10, p=0.021) and nutrition awareness (Coe=-0.14, p=0.009) were two unique associated factors to rural older adults' HRQoL. While, age (Urban: Coe=0.13, p=0.001; Rural: Coe=-0.019, p<0.001), socioeconomic status (Urban: Coe=0.13, p<0.001; Rural: Coe=0.14, p<0.001), number of chronic non-communicable diseases (Urban: Coe=-0.20, p<0.001; Rural: Coe=-0.15, p<0.001), sleep quality (Urban: Coe=-0.22, p<0.001; Rural: Coe=0.15, p<0.001) and daytime sleepiness (Urban: Coe=-0.13, p<0.001; Rural: Coe=-0.13, p<0.001) were found to be associated with HRQoL regardless of the residential area. Conclusion: This study suggested that rural older adults are facing HRQoL disadvantages compared to those in urban area. Accordingly, more attention should be devoted to rural older adults' HRQoL, particularly to the unique factors like body weight and nutrition awareness. Targeted policies and interventions should be implemented to improve HRQoL and bridge the urban-rural HRQoL gap.

Association of sleep with mental health in Chinese high school students: a cross-sectional study.

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 self-report. 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.

The Impact of Sleep Quality on Subjective Wellbeing Among Older Adults With Multimorbidity: A Moderated Mediation Model.

Background: Studies 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. Methods: A 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. Results: Sleep quality had a significant direct effect on subjective wellbeing in older adults (ß = -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 (ß = -0.038, 95%CI: -0.062, -0.014, p < 0.001; ß = -0.002, 95%CI: -0.004, -0.01, p = 0.008). Conclusion: Negative 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.

The association between health-promoting-lifestyles, and socioeconomic, family relationships, social support, health-related quality of life among older adults in china: a cross sectional study.

OBJECTIVES: Lifestyles, accounting for 53% in determining death, play a vital role in improving the health of older adults. Thus, this study aimed to explore the influencing factors of the health-promoting-lifestyles and interaction mechanisms among older adults. METHODS: A total of 8526 elders were selected by a three-stage stratified random cluster sampling method. Socioeconomic status, family relationships, social support, health-related quality of life (QOL), and health-promoting-lifestyles (HPLP) of older adults were assessed with the Social Support Rating Scale, the short form 36 health survey (SF-36) and Health-Promoting Lifestyle Profile. A structural equation model (SEM) was conducted to test the direct and indirect association between influencing factors with HPLP. RESULTS: In this study, there were 4901 older adults who were empty nesters, and 3625 were non-empty nesters. Of all respondents, the average QOL score of older adults was 62.28 ± 16.51, average social support score was 78.06 ± 7.50. The HPLP score of older adults was 105.9 ± 19.6, and the average score of subscales was 2.5 ± 0.5, which was at the medium level. Social support had a positive and direct effect on HPLP of older adults (total effect, 0.34). Meanwhile, social support mediated the relationship between socioeconomic (total effect, 0.17), QOL (total effect, 0.33) and HPLP. Family relationships had a small indirect effect on HPLP via social support (0.01). CONCLUSIONS: Social support is the strongest influencing factor in the health-promoting-lifestyles among older adults, followed by socioeconomic, health-related quality of life and family support. Thus, maintaining higher social support was important to improve the HPLP of older adults.

The association between sleep quality and psychological distress among older Chinese adults: a moderated mediation model.

BACKGROUND: Previous research has found a link between sleep quality and psychological distress. However, the underlying mechanisms of this connection have still not been well explored. The aim of this study was to examine the roles of activities of daily living (ADL), physical activity, and perceived social support in the link between sleep quality and psychological distress among older adults. METHODS: Three thousand two hundred fifty valid individuals (aged 60 years or above) participated in face-to-face questionnaire-based surveys. Older individuals were assessed using the Pittsburgh Sleep Quality Index, Barthel Index, International Physical Activity Questionnaire, Perceived Social Support Scale, and Depression Anxiety Stress Scale-21. The PROCESS macro developed by Hayes was used to conduct moderated mediation analysis. RESULTS: In older adults, sleep quality had a substantial direct influence on psychological distress. ADL mediated the association between sleep quality and psychological distress. Physical activity significantly reduced ADL's mediating influence on the relationship between sleep quality and psychological distress. Furthermore, perceived social support moderated the direct relationship between sleep quality and psychological distress, as well as the second half of the mediating effect of the ADL. Moreover, physical activity and perceived social support were preventive factors that might successfully mitigate the detrimental effects of poor sleep quality on ADL and psychological distress. CONCLUSIONS: The findings contribute to existing understanding by clarifying the fundamental mechanisms that link sleep quality and psychological distress. These results may provide a valuable reference to the Chinese government for improving mental health in older individuals.

The impact of chronic diseases on psychological distress among the older adults: the mediating and moderating role of activities of daily living and perceived social support.

OBJECTIVES: Previous literature has shown that chronic diseases and psychological distress are correlated. However, the mediating and moderating mechanisms underlying this relationship have not been sufficiently studied. The purpose of this study was to explore the role played by activities of daily living (ADL) and perceived social support. METHOD: Face-to-face questionnaire-based surveys were conducted with 3250 valid participants (age ≥60 years). Participants were assessed using the Barthel Index, Perceived Social Support Scale, and Depression Anxiety Stress Scale-21. RESULTS: 1) Chronic diseases had a significant direct effect on psychological distress in older adults; 2) the relationship between chronic diseases and psychological distress was partially mediated by ADL; and 3) the impact of chronic diseases on psychological distress was significantly moderated by perceived social support. More importantly, perceived social support was a protective factor that could effectively alleviate the adverse effects of chronic diseases on psychological distress. CONCLUSION: The results add to the existing literature by uncovering the underlying mechanisms between chronic diseases and mental health. These findings have implications for early intervention and prevention of mental health problems in older adults.

Impact of Different Type and Frequency of Social Participation on Depressive Symptoms Among Older Chinese Adults: Is There a Gender Difference?

Objectives: Social participation may prevent depressive symptoms in older adults. But research to date ignores gender differences in the associations between social participation and depressive symptoms. The purpose of this study was to determine the effect of different type and frequency of social participation on depressive symptoms, as well as if there is a gender difference in these correlations among older Chinese adults. Methods: Data was obtained from adults aged 60 years or above in the 2018 China Health and Retirement Longitudinal Survey, a nationally representative sample of older adults in China. Depressive symptoms were measured using CESD-10. Social participation included participation in social groups, hobby groups, sports groups, and community-related organizations. The independent relationships between each type of social participation and depressive symptoms were assessed using multiple linear regression models. Results: A total of 6,287 older adults were included in this analysis, of whom 49.69% were women. Participating in social groups, sports groups, and community-related organizations with a frequency of one or more per week was all linked to better mental health. Furthermore, our findings suggest that the positive relationship between participation in social groups, hobby groups, and community-related organizations and depressive symptoms is more flexible for older men than for women. Conclusions: Older individuals who participate in social participation at a high frequency may have better mental health. The findings provide novel insights into mental health from the standpoint of social participation in older adults. Gender differences in the associations between social participation and depressive symptoms need to be considered when formulating interventions to prevent depression.

Urban-Rural Differences in Patterns and Associated Factors of Multimorbidity Among Older Adults in China: A Cross-Sectional Study Based on Apriori Algorithm and Multinomial Logistic Regression.

Introduction: Multimorbidity has become one of the key issues in the public health sector. This study aimed to explore the urban-rural differences in patterns and associated factors of multimorbidity in China and to provide scientific reference for the development of health management strategies to reduce health inequality between urban and rural areas. Methods: A cross-sectional study, which used a multi-stage random sampling method, was conducted effectively among 3,250 participants in the Shanxi province of China. The chi-square test was used to compare the prevalence of chronic diseases among older adults with different demographic characteristics. The Apriori algorithm and multinomial logistic regression were used to explore the patterns and associated factors of multimorbidity among older adults, respectively. Results: The findings showed that 30.3% of older adults reported multimorbidity, with significantly higher proportions in rural areas. Among urban older adults, 10 binary chronic disease combinations with strong association strength were obtained. In addition, 11 binary chronic disease combinations and three ternary chronic disease combinations with strong association strength were obtained among rural older adults. In rural and urban areas, there is a large gap in patterns and factors associated with multimorbidity. Conclusions: Multimorbidity was prevalent among older adults, which patterns mainly consisted of two or three chronic diseases. The patterns and associated factors of multimorbidity varied from urban to rural regions. Expanding the study of urban-rural differences in multimorbidity will help the country formulate more reasonable public health policies to maximize the benefits of medical services for all.