Urban-rural disparities in the short-term effects of cold and heat on myocardial infarction mortality in Anhui Province, China.

Non-optimal ambient temperatures are risk factors for myocardial infarction (MI) and urban-rural temperature differences in the context of climate change may have caused and will lead to differential association between temperature and MI. We collected daily mean temperature and daily MI deaths from 1 January 2016 to 31 December 2020 in Anhui Province, China. A distributed lag nonlinear model was performed to estimate the area-specific association of heat and cold (defined as the 2.5th and 97.5th percentile of the daily mean temperature) with MI mortality; the random-effects meta-analysis was then used to pool the effects of cold and heat. We found the risk of MI death due to cold was higher in rural areas [relative risk (RR): 1.13, 95% confidence interval (CI): 1.02-1.26, lag0) than in urban areas (RR: 0.99, 95% CI: 0.80-1.21, lag0), whereas the risk of MI death associated with heat was higher in urban areas (RR: 1.14, 95% CI: 1.03-1.27, lag0) than in rural areas (RR: 1.04, 95% CI: 0.99-1.10, lag0). Our findings may help to develop targeted protective strategies to reduce the adverse effects of cold and heat on cardiovascular disease.

Linear and non-linear associations of depressive symptoms with oral health knowledge, attitudes, and practices among rural older adults in China: a cross-sectional study.

BACKGROUND: Depression affects the oral health of older adults; however, little is known about its impact on oral health among rural older adults in developing countries, which warrants further research. Taking China as an example, there is a large population base of rural older adults suffering from depression, and many rural older people also have long-term oral health problems, which have seriously affected their quality of life in later life. Therefore, this study aimed to explore linear and non-linear associations of depressive symptoms with oral health knowledge, attitudes, and practices among rural older adults in China. METHODS: From November 2020 to December 2020, 1,902 rural community-dwelling older people aged 60 years and older were investigated, via a cross-sectional survey. The general information, depressive status, oral health knowledge, attitudes, and practices of the participants were obtained through face-to-face structured questionnaires. Among them, the Zung Depression Self-Rating Scale was used to investigate the depressive symptoms of the participants in this survey. The generalized linear model and classification and regression tree model were used, separately. RESULTS: Based on linear analysis results, we found that minimal to mild depressive symptoms [regression coefficient (ß) = -0.345; 95% confidence interval (CI): -0.582 to -0.109, P = 0.004] and depressive symptoms (ß = -1.064; 95% CI: -1.982 to -0.146, P = 0.023) were significantly correlated with oral health knowledge. A negative correlation was observed between minimal to mild depressive symptoms (ß = -0.385; 95% CI: -0.600 to -0.170, P < 0.001) and oral health attitudes. In addition, while both minimal to mild depressive symptoms (ß = 0.018; 95% CI: -0.312 to 0.347, P = 0.916) and depressive symptoms (ß = 0.604; 95% CI: -0.675 to 1.883, P = 0.355) were associated with oral health practices. Furthermore, the non-linear analysis showed a combined effect of depressive symptoms on oral health attitudes, indicating that older people of a younger age, not living alone, and not suffering from depressive symptoms are more likely to report better oral health attitudes. CONCLUSION: Both the linear and non-linear analyses in our study showed that depressive symptoms are significantly correlated with the poor oral health attitudes of older adults in rural communities. Furthermore, depressive symptoms were associated with oral health knowledge in the linear analysis. However, no statistically significant difference was found between depressive symptoms and oral health practices in either analysis. This research deepens our knowledge and understanding of relevant evidence in the mental and oral health of people in later life. In addition, analyzing the factors that affect the oral health of older people from the perspective of their depressive status provides new thinking directions and scientific references for improving the oral health of older adults in practical life.

Relationship between social network and individual performance of core members from aged care services social organizations: cross-sectional study.

BACKGROUND: The social network of core members can affect the performance of the organization, while there is a lack of research on the relationship between the social network of core members of social organizations and individual performance in the field of aged care services. This study aimed to explore the relationship between social network and individual performance of core members from social organizations engaged in aged care services and explore measures to promote the development of aged care services. METHODS: We used a multi-stage stratified sampling method to conduct a cross-sectional study and collected the required data in six cities in Anhui Province, China. Univariate analysis and binary logistic regression were used to estimate the relationship between social network and individual performance. RESULTS: Our results indicated that core members with higher social network scores were more likely to yield better individual performance, including receiving awards or recognitions related to aged care services (AOR=2.534; 95% CI: 1.397-4.596). Moreover, teams led by the core members were more likely to receive awards or recognitions related to aged care services (AOR=2.930; 95% CI: 1.740-4.933). The core members or the teams led by them were more likely to be reported by the media (AOR=1.748; 95% CI: 1.030-2.966) and participate in the drafting or discussion of local aged care service standards or service specifications (AOR=2.088; 95% CI: 1.093-3.911). In addition, demographic variables such as gender, marital status, and education of core members were significantly related to their performance (P<0.05). CONCLUSIONS: The social network of core members of aged care service social organizations has an impact on their individual performance. To improve the performance of the core members of senior citizens services and organizations, relevant measures should be taken from the government, social organizations and core members to strengthen the social network construction of core members.

Complex association of self-rated health, depression, functional ability with loneliness in rural community-dwelling older people.

BACKGROUND: This study aimed to explore whether and how self-rated health, depression and functional ability interactively associated with loneliness using a sample group of older adults residing in China rural communities. METHODS: Data on socio-demographic information, self-rated health, depressive symptoms, functional ability and loneliness (quantified via a single question) were collected from 1009 participants. Cross-tabulations with chi-square test, bivariate correlations, and Classification and Regression Tree (CART) models were employed for analysis. RESULTS: We found that 45.1% of the participants were classified as lonely. Our results gain insight into the hierarchical order of predictors for the presence of loneliness, suggesting that there was a significant interaction between functional ability and depressive symptoms while self-rated health was not a significant factor. The probability of loneliness increased with the combination of limited functional ability and depression, and varied with different interaction of functional ability, depressive symptoms, and marital status, respectively. Notably, while there were some differences, similar associations were observed among older male and female respondents. CONCLUSION: To delay or reduce loneliness, early detection which focuses on older people who report limitations in functional ability, depression, and being female, offers opportunities to start early interventions. Our findings might be helpful not only in designing and implementing loneliness prevention programs but also in improving healthcare for older rural community-dwelling people.

Differences in the association of oral health knowledge, attitudes, and practices with frailty among community-dwelling older people in China.

BACKGROUND: Oral health and frailty are significantly related and should be well examined, especially in late life. Few studies have explored the relationship of oral health knowledge, attitudes, and practices with frailty and examined sociodemographic variations in this association. This study aimed to examine the association between oral health knowledge, attitudes, practices and frailty, with a special focus on comparing differences in their association among the Chinese community-dwelling older population. METHODS: This study included 4218 community-dwelling older adults (aged ≥ 60 years) who participated in a cross-sectional survey. Sociodemographic characteristics, oral health knowledge, attitudes, practices, and frail status (non-frailty, pre-frailty, and frailty) were collected with a face-to-face questionnaire-based interview. Multivariate logistic regression models were used to evaluate the association of oral health knowledge, attitudes, and practices with frailty. RESULTS: Of the 4218 participants, 36.2% (n = 1527) and 18.8% (n = 792) were classified as pre-frailty and frailty. Age, gender and educational attainments differences existed in the association of oral health knowledge with frailty. Urban-rural differences in the association of oral health knowledge and practices with frailty were also found. Specifically, oral health knowledge was significantly related to frailty only among participants aged 70-79 years (adjusted odds ratio [95% confidence interval]) (1.08 [1.02-1.15]), females (1.05 [1.00-1.10]), rural residents (1.06 [1.01-1.12]), and those who were primary school and lower education (1.06 [1.01-1.11]), whereas oral health practices were related to frailty only among urban participants (0.96 [0.92-1.00]). CONCLUSION: This study confirmed the different associations of oral health knowledge and practices with frailty among community-dwelling older people in China. Further research is needed to better understand the abovementioned differences and public health strategies are required to improve oral health literacy and thereby contain the development of frailty in later life.

Relationship between social capital and quality of life among adult stroke patients: a cross-sectional study in Anhui Province, China.

OBJECTIVES: Few studies have investigated the association between social capital and quality of life (QoL) among stroke patients. To address this research gap, we aimed to explore the association between social capital and QoL among stroke patients in Anhui Province, China. STUDY DESIGN: Cross-sectional study. METHODS: This cross-sectional study was conducted using a multi-stage stratified random sampling method. The following data including demographic characteristics, health-related conditions, five dimensions of social capital status, and quality of life (QoL) were collected using a questionnaire. Generalized linear models were then used to determine the relationship between social capital and QoL after adjusting for confounding factors. RESULTS: A total of 390 participants were included for the final analysis in this study. Our results indicated that subjects with higher social capital including social connection (coefficient: 28.28, 95% CI: 19.39-37.16), social support (coefficient: 21.17, 95% CI: 10.63-31.71), trust (coefficient: 13.46, 95% CI: 2.73-24.19), reciprocity (coefficient: 25.56, 95% CI: 15.97-35.15), and cohesion (coefficient: 19.30, 95% CI: 9.90-28.70) had increased odds of reporting poor QoL when compared with lower social capital group. We also observed that the association between social capital and QoL varied across cities. CONCLUSIONS: Our findings show that social capital is associated with QoL in adult stroke patients, suggesting that social capital may be significant for enhancing QoL among adults with stroke.

Correlations of external social capital in social organizations providing integrated eldercare services with medical care in China.

BACKGROUND: This study aimed to explore the external social capital of social organizations (SOs) providing integrated eldercare services with medical care in Anhui Province, China. Specifically, we studied the current situation and influencing factors of external social capital and its six dimensions. METHODS: We conducted a cross-sectional study in Anhui Province, China using a multi-stage stratified random sampling method. We employed Pearson correlation analysis and a binary logistic regression model. RESULTS: The final analysis included 49 SOs. Most organizations had a high score in norm dimension (81.6%), participation (61.2%), trust (65.3%), common language (65.3%), and social capital (63.3%). After adjusting for all covariate variables, integrated eldercare services with medical care SOs which served more than 65 elderly people were likely to report lower score in social capital. CONCLUSIONS: By examining the current situation of integrated eldercare services with medical care SOs in China, this study enriched the relevant evidence of integrated medical and nursing SOs and provides a certain reference value for relevant management departments when formulating policies.

Factors related to the social network of core members of elderly care service social organizations: a cross-sectional study.

BACKGROUND: The social network of the core members of elderly care service social organizations could affect the performance of the organization, while studies concerning its related factors are limited. We aimed to explore factors that are associated with the social network of core members from elderly care service social organizations and provide references and suggestions for improving elderly care services. METHODS: This cross-sectional study employed a multi-stage stratified sampling method, and collected data concerning social network, demographic information and occupation. Univariate analysis and binary logistic regression were used to analyze factors that could affect the social network of the core members. RESULTS: Our results demonstrated that there is low social network of core members of elderly care social organizations. Out of the total membership, men (AOR = 1.708; 95%CI: 1.034-2.823), those with senior high school education (AOR = 1.923; 95%CI: 1.053-3.511), those with a college degree and above (AOR = 3.010; 95%CI: 1.591-5.692) and those that receive awards related to elderly care services (AOR = 2.260; 95%CI: 1.285-3.976) were associated with higher social network scores. CONCLUSIONS: Our data successfully characterized the social status of core members of elderly care organizations. Therefore, health care professionals and policy makers in social organizations should use this knowledge in the care and service provision to the elderly; and implement actions that would promote networking in social organizations.

Relationship between social support and depression among older people from elderly care social organizations in Anhui Province, China.

OBJECTIVE: To examine the relationship between absent social support and depression among older adults from elderly care social organizations in Anhui Province, China. METHODS: A cross-sectional study using a multi-stage stratified random sampling method was conducted in six selected cities of Anhui Province, China. A linear regression model was employed to estimate the association between absent social support and depression. RESULTS: All in all, 1167 older people were included. Social support and the three dimensions studied were all negatively correlated with depression. These findings suggest that older people from elderly care organizations, who reported higher social support, were less likely to develop depression. This association also existed after stratified analysis in different areas: household (urban/rural), age and gender. DISCUSSION: A higher level of social support was correlated with lower chances of experiencing depression. These findings are consistent with the majority of previous literature having reported on social support among elderly populations. However, some of our findings differ from those of other studies. CONCLUSIONS: Our study suggests that improved social support could help to prevent depression among older adults.

Effect of Emerging Major Infectious Diseases on Sleep Quality of Medical Workers: Findings from Medical Workers Providing Support During the COVID-19 Pandemic.

BACKGROUND The coronavirus disease 2019 (COVID-19) outbreak has exerted immense pressure on medical systems in China and abroad. This study aimed to compare the sleep quality of medical personnel conscripted to the Wuhan Union Cancer Centre to offer support during the early stages of the COVID-19 pandemic to the sleep quality of those who remained at Anhui Medical University Hospital and to determine the role of interventions in improving sleep quality. MATERIAL AND METHODS Questionnaires were completed by 369 individuals who were conscripted to support Wuhan (N=137) and others who were not (the control group; N=232). The Pittsburgh Sleep Quality Index (PSQI) was used to measure the duration and quality of sleep. The Anhui Provincial Health Commission organized a comprehensive intervention, consisting of physical-psychological-social dimensions, over the course of 2 weeks. RESULTS Only 34.21% of the Wuhan support workers reported better sleep quality, as opposed to the 55.60% of the control group at stage 1 (t/χ²=14.005, P<.001). Furthermore, despite the Wuhan support group being more prone to poor sleep quality, their sleep quality significantly improved after the interventions. CONCLUSIONS The findings from this study showed that medical staff who were conscripted to offer support during the early stages of the COVID-19 pandemic suffered from impaired quality of sleep. The use of questionnaire-based sleep assessments may provide individualized approaches to supporting medical personnel during future epidemics and pandemics. Furthermore, our results indicate that relevant interventions can significantly improve sleep quality, while a prolonged break after interventions does not affect sleep quality.

Association between social capital and loneliness among older adults: a cross-sectional study in Anhui Province, China.

BACKGROUND: We aimed to examine the association between social capital and loneliness in Anhui Province, China. METHODS: Data were collected from a cross-sectional study using a multi-stage stratified cluster sampling strategy. Data on demographic characteristics, socioeconomic factors, social capital, and loneliness in 1810 older adults (aged 60 years and older) were used for analysis. Binary logistic regression models and a classification and regression tree model were performed to assess the association of social capital and loneliness. RESULTS: Our results indicated that social capital in terms of lower level of social participation (AOR = 1.38; 95% CI: 1.10-1.74), social connection (AOR = 1.51; 95% CI: 1.18-1.93), and reciprocity (AOR = 1.47; 95% CI: 1.13-1.90) were associated with higher odds of developing loneliness. We noted the interactive effect of different social capital dimensions on loneliness, suggesting that the risk for suffering loneliness was greatest in older people limited in functional ability, with less trust, less social connection, and less social participation. CONCLUSIONS: Our findings show that social capital is associated with loneliness in older adults. This implies that social capital, especially in terms of trust, social connection, and social participation may be significant for alleviating loneliness in later life.

Factors related to turnover intention among staff of elderly caring social organizations in Anhui Province, China: a cross-sectional study.

OBJECTIVE: Turnover intention of employees in elderly caring social organizations has a significant impact on elderly care service delivery. This study investigated the associated factors of turnover intention among employees of elderly caring social organizations in Anhui Province, China. METHODS: A total of 605 participants were selected using a multi-stage stratified random sampling method. A self-administered questionnaire was used to collect information on socio-demographic, social support, and turnover intention from the participants. The data was analyzed through descriptive statistical analysis, one-way variance analysis, Spearman correlation analysis, and multiple linear regression were used to analyze the factors related to turnover intention. RESULTS: Results of our study showed that the total score of turnover intention, turnover intention I (possibility of quitting a current job),turnover intention II (motivation to find other jobs) and turnover intention III (obtaining the external possibility of work) were 8.84, 2.32, 2.38, and 4.14, respectively. Social support negatively correlated with turnover intention I and turnover intention II. However, it showed positive correlation with turnover intention III and total turnover intention scores; turnover intentionI (coefficient: - 0.082), turnover intention II (coefficient: - 0.071), turnover intention III (coefficient: 0.19), Total score of turnover intention (coefficient: 0.093). Ethnic group, age, education level, and job satisfaction were associated with turnover intention. CONCLUSION: Improvement of social support play an important role in reducing the turnover intention of employees in elderly caring social organizations. It is important to increase organizational commitment and strengthen psychological empowerment, combined with decreasing job burnout for stability.

Association between social capital and depression among older people: evidence from Anhui Province, China.

BACKGROUND: To examine the relationship between social capital and depression among community-dwelling older adults in Anhui Province, China. METHODS: A cross-sectional study was conducted among older people selected from three cities of Anhui Province, China using a multi-stage stratified cluster random sampling method. Data were collected through questionnaire interviews and information on demographic characteristics, social capital, and depression was collected. The generalized linear model and classification and regression tree model were employed to assess the association between social capital and depression. RESULTS: Totally, 1810 older people aged ≥60 years were included in the final analysis. Overall, all of the social capital dimensions were positively associated with depression: social participation (coefficient: 0.35, 95% CI: 0.22-0.48), social support (coefficient:0.18, 95% CI:0.07-0.28), social connection (coefficient: 0.76, 95% CI:0.53-1.00), trust (coefficient:0.62, 95% CI:0.33-0.92), cohesion (coefficient:0.31, 95% CI:0.17-0.44) and reciprocity (coefficient:0.30, 95% CI:0.11-0.48), which suggested that older people with higher social capital had a smaller chance to develop depression. A complex joint effect of certain social capital dimensions on depression was also observed. The association with depression and the combinative effect of social capital varied among older adults across the cities. CONCLUSIONS: Our study suggests that improving social capital could aid in the prevention of depression among older adults.

High social capital facilitates the alleviation of psychological distress in breast cancer patients: Insights from a cross-sectional study in Anhui Province, China.

Differences in social capital have been shown to impact psychological distress in cancer patients, but few studies have examined the relationship between social capital and the distress thermometer (DT) in breast cancer patients who have undergone modified radical surgery. To fill this research gap, our study aimed to investigate the association between social capital and the DT among breast cancer patients who underwent modified radical surgery in Anhui Province, China. This cross-sectional study used multi-stage stratified random sampling. Data on demographic characteristics, eight dimensions of social capital, and the DT were collected using a questionnaire. Logistic regression models were subsequently utilized to assess the relationship between social capital and DT, adjusting for confounding factors. A total of 253 participants were included in the final analysis. Results indicated that individuals with higher levels of social capital, including participation in the local community (OR = 3.437; 95% CI: 1.734-6.814), social agency or proactivity in a social context (OR = 69.700; 95% CI: 20.142-241.195), feelings of trust and safety (OR = 26.287; 95% CI: 7.646-90.374), neighborhood connections (OR = 7.022; 95% CI: 3.020-16.236), family and friend connections (OR = 59.315; 95% CI: 17.182-204.760), tolerance of diversity (OR = 9.785; 95% CI: 4.736-20.216), value of life (OR = 65.142; 95% CI: 19.994-212.242), and work connections (OR = 31.842; 95% CI: 12.612-80.397), had higher odds of reporting poor DT scores compared to those with lower levels of social capital. These findings indicate an association between social capital and DT scores in breast cancer patients who have undergone modified radical surgery, suggesting that social capital may play a crucial role in alleviating psychological distress within this community.

Urban-Rural Differences in the Association of eHealth Literacy With Medication Adherence Among Older People With Frailty and Prefrailty: Cross-Sectional Study.

Background: With advances in science and technology and improvements in health literacy, more studies have focused on frailty prevention by promoting medication adherence, emphasizing the role of eHealth literacy. However, the association between eHealth literacy and medication adherence in frail older adults has not been well studied, and it is unknown whether urban-rural differences exist in this relationship. Objective: This study aims to examine the relationship between eHealth literacy and medication adherence in older people with different frailty statuses, emphasizing variations between rural and urban areas. Methods: Between November and December 2020, a total of 4218 urban and rural community members (aged ≥60 years) in China were recruited as participants using a multistage random sampling method. A face-to-face structured questionnaire survey was conducted to collect information on demographic characteristics, eHealth literacy (consisting of application, evaluation, and decision dimensions), and medication adherence. eHealth literacy was assessed using the Chinese version of the eHealth Literacy Scale developed by Norman and Skinner, and medication adherence was measured using the 4-item Morisky scale. We used a general descriptive analysis and stratified logistic regression models to examine how eHealth literacy is linked to medication adherence and urban-rural differences. Results: There were 4218 respondents, of which 2316 (54.9%) lived in urban areas and 1902 (45.1%) in rural areas, respectively. After adjusting for potential confounders, among participants with prefrailty, eHealth literacy was associated with medication adherence in urban areas in terms of less application (adjusted odds ratio [AOR] 1.16, 95% CI 0.82-1.63), less evaluation (AOR 1.29, 95% CI 0.92-1.81), and less decision ability (AOR 1.20, 95% CI 0.86-1.68); eHealth literacy was linked with medication adherence in the rural areas in terms of less application (AOR 1.10, 95% CI 0.56-2.13), less evaluation (AOR 1.05, 95% CI 0.61-1.79), and less decision ability (AOR 1.10, 95% CI 0.64-1.90). Among frail participants, less eHealth literacy (AOR 0.85, 95% CI 0.48-1.51), along with its dimensions, including less application (AOR 0.85, 95% CI 0.47-1.54), evaluation (AOR 0.89, 95% CI 0.50-1.57), and decision ability (AOR 0.99, 95% CI 0.55-1.76), were associated with medication adherence in urban areas; less eHealth literacy (AOR 0.89, 95% CI 0.48-1.65), along with its dimensions, including less application (AOR 1.23, 95% CI 0.62-2.44), evaluation (AOR 0.98, 95% CI 0.53-1.82), and decision ability (AOR 0.90, 95% CI 0.49-1.67), were associated with medication adherence in rural areas. Conclusions: The results of this study suggest that there is an association between eHealth literacy and medication adherence among older people with frailty and prefrailty. To promote medication adherence, eHealth literacy can be helpful in tailoring interventions.

Urban-rural disparities in depressive symptoms and related factors among offspring of advanced maternal mothers: A national cross-sectional study in China.

BACKGROUND: Urbanization remains an important factor affecting the mental health of people. Currently, there is insufficient research on depression among the offspring of women who have children at an advanced maternal age (AMA). The objective of this study is to investigate the urban and rural disparities in depressive symptoms among the offspring of AMA and related influencing factors. METHODS: In this study, a total of 1273 offspring born to AMA were selected from the fourth wave of the China Health and Retirement Longitudinal Study (CHARLS) database. The questionnaire used in the study included demographic information and the Center for Epidemiologic Studies Depression Scale (CESD). Chi-square tests and logistic regression analysis were employed to examine the urban-rural differences. RESULTS: The likelihood of developing depressive symptoms of the offspring of AMA in rural areas was 1.633 times higher (AOR = 1.633; 95%CI: 1.211-2.202) compared to their urban counterparts. Several factors including gender, education, marital status, disability, chronic diseases, and sleep duration showed a linkage with depression among rural based offspring of AMA. For the urban offspring of AMA, only disability and sleep duration exhibited a significant association with depressive symptoms. LIMITATIONS: This study cannot establish a causal relationship between depressive symptoms and the influencing factors for the offspring of AMA. Age range and variables of the respondents needs further consideration. CONCLUSIONS: This study has brought to light the elevated risk of depressive symptoms among rural-based offspring of AMA. Thus, emphasizing the urgent need for targeted interventions and measures to address the negative impact.

Increased Suicide Mortality and Reduced Life Expectancy Associated With Ambient Heat Exposure.

INTRODUCTION: Ambient heat exposure is a risk factor for suicide in many regions of the world. However, little is known about the extent to which life expectancy has been shortened by heat-related suicide deaths. This study aimed to evaluate the short-term effects of heat on suicide mortality and quantify the reduced life expectancy associated with heat in China. METHODS: A time-stratified, case-crossover analysis in 2023 was performed during the warm season (May to September) from 2016 to 2020 to assess the short-term association between extreme heat (the 95th percentile of mean temperature) and suicide mortality in Anhui Province, China. A subgroup analysis was performed according to sex, age, marital status, suicide type, and region. The attributable fraction and years of life lost due to heat were calculated, and the heat-related life expectancy loss was estimated. RESULTS: This study included 9,642 suicide deaths, with an average age of 62.4 years and 58.8% of suicides in males. Suicide risk was associated with an 80.7% increase (95% confidence interval [CI]: 21.4%-68.9%) after exposure to extreme heat (30.6°C) in comparison to daily minimum temperature (7.9°C). Subgroup analysis revealed that heat-related suicide risk was more prominent in the married population than in the unmarried population. Heat was estimated to be associated with 31.7% (95% CI: 18.0%-43.2%) of the suicides, corresponding to 7.0 years of loss in life expectancy for each decedent. CONCLUSIONS: Heat exposure was associated with an increased risk of suicide and reduced life expectancy. However, further prospective studies are required to confirm this relationship.

Living environment, service quality satisfaction and depression among Chinese older adults in elderly caring social organizations.

BACKGROUND: Older adults living in elderly caring social organizations (SOs) are prone to suffer from depression. Many studies have found correlations between environmental and quality-of-life factors and depression; however, evidence from elderly caring SOs is rare, particularly in China. METHODS: A cross-sectional study was conducted among service recipients in elderly caring SOs in Anhui and Chongqing, China. Data on demographic and health-related characteristics, living environment factors, and service quality satisfaction factors in 2171 older adults were used for analysis. The binary logistic regression model was conducted to estimate the association between living environment and service quality satisfaction factors and depression. RESULTS: Our results indicated that living environment factors in terms of exposure to suitable temperature and humidity (OR = 0.655; 95 % CI: 0.446, 0.963), green coverage >30 % (OR = 0.432; 95 % CI: 0.337, 0.553) were associated with lower odds of developing depression. Also, an opposite relationship was found in the noise factor (OR = 1.985; 95 % CI: 1.395, 2.823). Higher satisfaction with admission and discharge services, dietary services, entertainment services, and psychological support services were also found to be associated with a lower risk of depression. LIMITATIONS: A cross-sectional design precluded determining whether living environment, service quality satisfaction, and depression are causally related. Measurement of living environment factors and service quality satisfaction factors needs to be further clarified comprehensively. CONCLUSIONS: Enhancing the living environment and the quality of the services provided to seniors in the elderly caring SOs is conducive to the reduction of the likelihood of depression.

Impact of PM2.5 exposure in old age and its interactive effect with smoking on incidence of diabetes.

PURPOSE: To determine the impact of PM2.5 exposure in old age and its interactive effect with smoking on incident diabetes. METHODS: A total of 2766 participants aged ≥60 years in China were interviewed at baseline for disease risk factors in 2001-03 and were then followed up for 10 years to document incident diabetes. They were assessed for daily PM2.5 exposure in 2005. Multivariate Cox regression models were used to examine the association of PM2.5 exposure with incident diabetes and interactive effect between PM2.5 and smoking on incident diabetes. RESULTS: During the cohort follow-up, 176 participants developed diabetes. The incidence of diabetes increased with PM2.5 exposure; the multiple-adjusted hazard ratio (HR) of diabetes was 2.27 (95 % CI 1.36-3.77) in participants with PM2.5 at ≥62.0 µg/m3 compared to those at <62.0 µg/m3. There was a significant interaction effect of PM2.5 with smoking on increased risk of diabetes. The adjusted HR for participants exposed to PM2.5 levels ≥62.0 µg/m3 who smoked was 4.39 (95 % CI 1.72-11.21), while for non-smokers it was 1.65 (95 % CI 0.88-3.09), compared to those at <62.0 µg/m3. CONCLUSIONS: Exposure to PM2.5 in old age was associated with an increased incidence of diabetes and smoking enhanced the impact of PM2.5 on diabetic risk. These findings underscore the urgent need for air quality improvement measures and smoking cessation programs to mitigate the risk of diabetes in aging populations.

Association between sleep quality and living environment among Chinese older persons: a cross-sectional study.

Sleep quality significantly affects the quality of life of older persons. Therefore, this study explored the relationship between sleep quality and living environment of older persons in China to provide a theoretical basis for therapies to alleviate sleep disorders in older persons. A total of 6211 subjects > 60 years of age in Anhui Province, China, were evaluated using the Pittsburgh Sleep Quality Index and a self-reported questionnaire. Multivariate logistic regression analysis revealed that living alone (OR = 1.26, 95% CI 1.09-1.46) and living in a rural area (OR = 1.19, 95% CI 1.06-1.34) were significantly associated with a high incidence of sleep disorders in older persons. Living near a park or foot paths suitable for exercise or walking was significantly associated with a lower incidence of sleep disorders in older persons (OR = 0.87, 95% CI 0.77-0.96). Individual factors such as female sex (OR = 1.30, 95% CI 1.14-1.48) and depression (OR = 2.80, 95% CI 2.47-3.19) were also associated with sleep quality in older persons. These data indicate a correlation exists between living environment and sleep quality.