Lifestyle factors and subjective well­being among older adults in China: A national community-based cohort study.

There has been limited research on the relationship between health habits and subjective well-being (SWB) among Chinese oldest older adults. This study aims to explore lifestyle factors associated with SWB in this population. We analyzed data from three waves (2008-2014) of the CLHLS, including 28,683 older adults. Lifestyle factors analyzed included fruit and vegetable intake, smoking, alcohol consumption, physical exercise, and social participation. Results suggested that high frequency of fruit and vegetable intake, current and past physical exercise, and high levels of social participation were associated with increased SWB. SWB was lower in older adults who never smoked compared to persistent smokers and in those who never drank alcohol or ceased drinking compared to persistent drinkers. We encourage older adults to enhance SWB through increased fruit and vegetable intake, physical exercise, and social participation. However, quitting smoking and drinking may not necessarily improve SWB, particularly in the context of China.

Does unequal economic development contribute to the inequitable distribution of healthcare resources? Evidence from China spanning 2001-2020.

BACKGROUND: There is a dearth of research combining geographical big data on medical resource allocation and growth with various statistical data. Given the recent achievements of China in economic development and healthcare, this study takes China as an example to investigate the dynamic geographical distribution patterns of medical resources, utilizing data on healthcare resources from 290 cities in China, as well as economic and population-related data. The study aims to examine the correlation between economic growth and spatial distribution of medical resources, with the ultimate goal of providing evidence for promoting global health equity. METHODS: The data used in this study was sourced from the China City Statistical Yearbook from 2001 to 2020. Two indicators were employed to measure medical resources: the number of doctors per million population and the number of hospital and clinic beds per million population. We employed dynamic convergence model and fixed-effects model to examine the correlation between economic growth and the spatial distribution of medical resources. Ordinary least squares (OLS) were used to estimate the ß values of the samples. RESULTS: The average GDP for all city samples across all years was 36,019.31 ± 32,029.36, with an average of 2016.31 ± 1104.16 doctors per million people, and an average of 5986.2 ± 6801.67 hospital beds per million people. In the eastern cities, the average GDP for all city samples was 47,672.71 ± 37,850.77, with an average of 2264.58 ± 1288.89 doctors per million people, and an average of 3998.92 ± 1896.49 hospital beds per million people. Cities with initially low medical resources experienced faster growth (all ß < 0, P < 0.001). The long-term convergence rate of the geographic distribution of medical resources in China was higher than the short-term convergence rate (|ßi + 1| > |ßi|, i = 1, 2, 3, …, 9, all ß < 0, P < 0.001), and the convergence speed of doctor density exceeded that of bed density (bed: |ßi| >doc: |ßi|, i = 3, 4, 5, …, 10, P < 0.001). Economic growth significantly affected the convergence speed of medical resources, and this effect was nonlinear (doc: ßi < 0, i = 1, 2, 3, …, 9, P < 0.05; bed: ßi < 0, i = 1, 2, 3, …, 10, P < 0.01). The heterogeneity between provinces had a notable impact on the convergence of medical resources. CONCLUSIONS: The experiences of China have provided significant insights for nations worldwide. Governments and institutions in all countries worldwide, should actively undertake measures to actively reduce health inequalities. This includes enhancing healthcare standards in impoverished regions, addressing issues of unequal distribution, and emphasizing the examination of social determinants of health within the domain of public health research.

Association between cognitive functioning and lifetime suicidal ideation among Chinese older adults: the mediating effect of depression.

PURPOSE: Existing evidence indicates an association between cognitive functioning and both geriatric depression and suicidality, with mixed evidence regarding the direction of the relationship between cognitive functioning and aspects of geriatric lifetime suicidal ideation. This study aims to examine the relationship between cognitive functioning, depression, and suicide ideation and to explore the intermediary role of depression between cognitive functioning and suicidal ideation in the older adults. METHODS: A multi-stage random cluster sampling method was used to collect a sample of 3896 individuals aged 60 and above. Descriptive statistics of the sample data were analyzed using one-way ANOVA, and then the correlation between variables was obtained by binary logistic regression analysis. SPSS macro program PROCESS V3.5 was used to test the mediating role of depression in the relationship between cognitive function and lifetime suicidal ideation. RESULTS: The prevalence of lifetime suicidal ideation among older adults was 3.9%. Lifetime suicidal ideation was associated with depression (OR = 1.308, P < 0.001) but was not significantly correlated with cognitive function (OR = 0.972, P > 0.05). The relationship between cognitive function and depression was also supported in this study (ß = - 0.0841, P < 0.001). Depression completely mediated the relationship between cognitive function and lifetime suicidal ideation. CONCLUSION: There was no significant correlation between cognitive impairment in older adults and a heightened risk of lifetime suicidal ideation. However, this relationship was completely mediated by depression. It is crucial to prevent the onset of depression among older adults with cognitive impairment, as depression is strongly linked to lifetime suicidal ideation.

Estimating the impact of different types hearing loss on cognitive decline and the joint effect of hearing loss and depression on cognitive decline among older adults in China.

BACKGROUND: Current research lacks examination of the relationship between different subtypes of hearing loss (HL) and cognitive decline (CD). Additionally, the co-effects of HL and depression on CD remain unexplored. This study aims to investigate the relationship between HL, various types of HL, and CD, as well as the combined impact of HL and depression on CD. METHODS: Data from a total of 5218 older adults who participated in the most recent three waves of Chinese Longitudinal Healthy Longevity Survey (CLHLS) (2011-2012, 2014, and 2018) were included. HL was assessed through self-report and objective measures. CD was defined as a decrease in MMSE score of≥3 between any two survey periods for older adults. Cox proportional hazards model was applied to analyzed. RESULTS: Among Chinese older adults, bilateral HL (HR = 1.202, 95%CI = 1.093-1.322, P < 0.001), onset of HL after the age of 40 (HR = 1.155, 95%CI = 1.056-1.264, P = 0.002), and chronic HL (HR = 1.143, 95%CI = 1.040-1.255, P = 0.005) posed a greater risk. HL (HR = 1.146, 95%CI = 1.048-1.254, P = 0.003) and depression (HR = 1.162, 95%CI = 1.038-1.301, P = 0.009) were independently or jointly associated with CD. Participants who were simultaneously exposed to both HL and depression experienced the highest risk of CD (HR = 1.314, 95%CI = 1.117-1.545, P = 0.001). LIMITATIONS: Given the observational design, unidentified confounding variables may still be present, such as whether to wear a hearing aid. CONCLUSION: This study emphasizes the high risk of specific types of HL for CD and the importance of implementing health interventions that address both physiological and psychological aspects to enhance cognitive function and prevent CD in older adults.

Association and mediators between the impact of oral health-related quality of life and depression.

OBJECTIVES: Our research intended to explore the association and mediators (perceived social support and sleep quality) between the impact of oral health-related quality of life (OHRQoL) and depression among Chinese older adults. METHODS: A stratified, multi-stage random sampling approach was used in our study. A total of 3896 older individuals aged 60 years and older were included. Process macro 3.5 for SPSS was utilized for testing mediation hypotheses. RESULTS: The mean score of the OHRQoL of the elderly was 3.26 ± 7.15. The correlation coefficient between OHRQoL and depression was 0.25 (p < 0.001). Perceived social support (ß = 0.009, 95% CI = 0.006, 0.012) and sleep quality (ß = 0.073, 95% CI = 0.074, 0.093) mediated the relationship between OHRQoL and depression, respectively. The association between OHRQoL and depression was mediated sequentially by perceived social support and sleep quality (ß = 0.004, 95% CI = 0.002, 0.006). CONCLUSIONS: The participants reported relatively good OHRQoL. OHRQoL and depression showed a significant positive correlation. The relationship between OHRQoL and depression among Chinese seniors was mediated by perceived social support and sleep quality. Both directly and indirectly, OHRQoL can affect depression.

Differentiating the associations between alcohol use, cigarette smoking, and conditional suicidal behaviors among adolescents.

BACKGROUND: Both alcohol use and cigarette smoking have been identified as risk factors for suicidal behaviors. However, suicide is a process from ideation to action, and some evidence have implied us that alcohol use and cigarette smoking may play different roles in the different process of suicidal behaviors. METHODS: Data was derived from the 2019 Youth Risk Behavior Survey (YRBS), and a total of 12, 487 valid samples were analyzed in the study. To distinguish the different situation of suicidal behaviors, participants were divided into general people without any suicidal behavior (GNS), suicidal ideators without plan or attempt (SINPA), suicide planners without attempt (SPNA), and suicide attempters (SA).1 RESULTS: The prevalence of suicidal ideation, plan, and attempt were 19.4 %, 15.9 %, and 7.7 %, respectively. Comparing to GNS, alcohol use and cigarette smoking were associated with SINPA (OR = 1.27, P < 0.05; OR = 1.47, P < 0.001), SPNA (OR = 1.29, P < 0.01; OR = 1.26, P < 0.01), and SA (OR = 1.31, P < 0.01; OR = 2.11, P < 0.001). However, alcohol use was not associated with SA comparing to SINPA (OR = 1.05, P > 0.05) and SPNA (OR = 1.03, P > 0.05), while cigarette smoking was associated with SA (OR = 1.40, P < 0.01; OR = 1.74, P < 0.001). LIMITATIONS: Firstly, using the secondary data was possibly limited. Next, this was a cross-sectional study, the casual relationship was unsure. Lastly, the amount of alcohol consumption and cigarette smoking status were not considered. CONCLUSION: Both alcohol use and cigarette smoking are risk factors for any suicidal behaviors. However, controlling alcohol use may be a limited method to prevent the further suicidal behaviors for ideators and planners. Managing cigarette smoking should be considered.

Increased Intake of Vegetables and Fruits Improves Cognitive Function among Chinese Oldest Old: 10-Year Follow-Up Study.

BACKGROUND: In view of the rapidly accelerating aging process in China, this study looked at the associations between vegetables and fruits intake pattens and cognitive function among the oldest old in China using the genetic sub study from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). METHODS: This study screened respondents who participated in all four surveys of longitudinal data from the CLHLS, and a total of 2454 participants were ultimately included. The relationships of cognitive function with vegetables and fruits intake patterns were examined using Generalized-estimating equations. RESULTS: The prevalence range of mild cognitive impairment (MCI) was 14.3% to 16.9% at T1 to T3 and 32.7% at T4. There was a significant increase in the prevalence of MCI from T1 to T4 (ß = 0.054; 95% CI, 0.037 to 0.070; p < 0.001; adjusted). The V+/F+ pattern significantly improved cognitive function in Chinese older adults compared with the V-/F- pattern (OR, 1.026; 95% CI, 1.001-1.053; p < 0.05). CONCLUSION: Older adults who frequently consume both fruits and vegetables experience a reduction in MCI risk relative to those consuming these food groups infrequently-emphasizing the critical importance of the regular intake of both fruits and vegetables in maintaining cognitive function.

Educational degree differences in the association between work stress and depression among Chinese healthcare workers: Job satisfaction and sleep quality as the mediators.

Background: Depressive status of medical personnel worldwide and especially in China is an important public health and social problem. There is a strong relationship between education and depression, but no studies have studied grouping healthcare workers (HCWs) with different educational degree to discuss whether there are differences in the factors that affect depression. This study aims to examine the role of job satisfaction and sleep quality in the relationship between work stress and depression among Chinese HCWs, and teste whether the mediation models are differed by the differences of educational degree. Methods: Patient Health Questionnaire-9 (PHQ-9) scale was used to test depression. Work stress was assessed using the Challenge-blocking stress scale (CBSS). Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). HCWs' satisfaction with their current work was assessed using the Job Satisfaction Index (JSI). The representative sample of HCWs was chosen using a multi-stage stratified cluster random sampling procedure and 844 HCWs were utilized to the statistical analysis of the study. Results: In the overall sample, sleep quality could mediate the relationship between work stress and depression in healthcare workers (p < 0.001, CMIN/DF = 3.816, GFI = 0.911, AGFI = 0.886, IFI = 0.943, TLI = 0.933, CFI = 0.942, RMSEA = 0.058, SRMR = 0.055, AIC = 1039.144), and the mediating effect accounted for 36.5%. After grouping educational qualifications, the model with sleep quality and job satisfaction as mediating variables reported a better fit in the group with low educational qualifications. The intermediary effect accounted for 50.6 and 4.43%, respectively. The highly educated group only has sleep quality as an intermediary variable in the structural model, and the mediating effect accounted for 75.4% (p < 0.001, CMIN/DF = 2.596, GFI = 0.887, AGFI = 0.857, IFI = 0.937, TLI = 0.926, CFI = 0.937, RMSEA = 0.044, SRMR = 0.056, AIC = 1481.322). Conclusion: In the overall sample, sleep quality could mediate the relationship between work stress and depression in HCWs. Among HCWs with technical secondary school education and below, job satisfaction can mediate the positive relationship between work stress and depression, while this mediating effect is not significant among HCWs with college degree and above.