Effect of Social Participation on the Physical Functioning and Depression of Empty-Nest Elderly in China: Evidence from the China Health and Retirement Longitudinal Survey (CHARLS)

Research status and hotspots of social frailty in older adults: a bibliometric analysis from 2003 to 2022

Background

Social Frailty is a significant public health concern affecting the elderly, particularly with the global population aging rapidly. Older adults with social frailty are at significantly higher risk of adverse outcomes such as disability, cognitive impairment, depression, and even death. In recent years, there have been more and more studies on social frailty, but no bibliometrics has been used to analyze and understand the general situation in this field. Therefore, by using CiteSpace, VOSviewer, and Bilioshiny software programs, this study aims to analyze the general situation of the research on social frailties of the older adults and determine the research trends and hot spots.

Methods

A bibliometric analysis was conducted by searching relevant literature on the social frailty of the older adults from 2003 to 2022 in the Web of Science core database, using visualization software to map publication volume, country and author cooperation networks, keyword co-occurrences, and word emergence.

Results

We analyzed 415 articles from 2003 to 2022. Brazil has the highest number of articles in the field of social frailty of the older adults, and the United States has the highest number of cooperative publications. Andrew MK, from Canada, is the most published and co-cited author, with primary research interests in geriatric assessment, epidemiology, and public health. "Social Vulnerability," "Health," "Frailty," "Mortality," and "Older Adult" are among the research hotspots in this field. "Dementia," "Alzheimer's disease," "Population," and "Covid-19" are emerging research trends in social frailty among the older adults.

Conclusion

This scientometric study maps the research hotspots and trends for the past 20 years in social frailty among the older adults. Our findings will enable researchers to better understand trends in this field and find suitable directions and partners for future research.

Associations between regular physical exercise and physical, emotional, and cognitive health of older adults in China: an 8-year longitudinal study with propensity score matching

Background

The importance of healthy aging is growing in China as it has the largest number of older adults in the world and is one of the fastest-aging countries. This study aimed to examine the predictive value of regular physical exercise in relation to the physical, emotional, and cognitive health among samples of adults aged ≥60 years in China during an 8-year period.

Methods

A total of 10,691 older adults were extracted from two waves of national data from the China Family Panel Studies in 2010 and 2018. To minimize the impact of selection bias on the findings, a longitudinal propensity score matching (LPSM) method was used to examine the relationships between regular physical exercise and emotional health (depression), between regular physical exercise and physical health (instrumental activities of daily living), and between regular physical exercise and cognitive health (cognitive ability) of older adults. After LPSM, 856 older adults were included in the study. In the regular physical exercise group, the average age of participants at baseline year was 65.67 years, with an average age of 65.90 years for 238 men and 65.45 years for 190 women, and in the non-physical exercise group, their average age at baseline year was 65.70 years, with an average age of 65.45 years for 253 men and 65.98 years for 175 women.

Results

LPSM indicated that regular physical exercise has been found to be effective in improving physical function and reducing depressive symptoms in old adults, even after controlling for background differences. However, the sensitivity analysis suggests that the positive association between regular physical exercise and cognitive function may not be sufficiently valid.

Conclusion

The findings of this study indicate that engaging in long-term structured and repetitive physical exercise can have a significant positive effect on reducing depressive symptoms and improving the physical function of older adults. As a result, incorporating regular physical exercise into the lifestyle of older adults is recognized as an effective strategy for promoting healthy aging and reducing the strain on public health resources.

Social participation and health in middle-aged and older empty nesters: A study on gender differences

Background

The growing population of middle-aged and older empty nesters is characterized by poorer health, and social participation (SP) has been shown to improve this situation. However, few studies have investigated specific performance and gender differences between SP and health. The present study aims to address these issues.

Methods

A total of 1207 middle-aged and older empty nesters over 45 years old were selected from the China Health and Retirement Longitudinal Study (CHARLS, 2011-2018). Random-effects analyses were used to explore the association between changes in SP (diversity, frequency, type) and changes in health status. Health status include physical health, mental health, self-reported health (SRH).

Results

Female middle-aged and olderly empty nesters have significantly poorer health and participate in SP more frequently. The higher the diversity of SP, the better the health of middle-aged and olderly empty nesters, while higher frequency is beneficial to SRH. Female's participation in sports and Internet had better mental health and SRH, and mahjong helped female's mental health. Clubs are helpful for male's SRH.

Conclusions

This study reveals the specifics of the association between SP and health status of middle-aged and older empty nesters. Therefore, all aspects of SP and gender differences should be taken into account when predicting and improving the health status. Help the government to better formulate policies to better cope with the increasing empty nest phenomenon and build a harmonious and stable society.

Latent profile analysis of depression among empty nesters in China

OBJECTIVES

The study aimed to explore the depression profile of empty nesters and to identify heterogeneous subgroups in the elderly population. It explored the influencing factors of depression in elderly people with different depression profiles, with a view to provide a reference basis for improving the depression situation of empty-nesting elderly people.

METHODS

This study used the Chinese Longitudinal Healthy Lifespan Survey (CLHLS) survey data, with empty nesters over 60 as the research subjects. Latent profile analysis (LPA) was used to fit potential classes of depression in empty nesters; chi-square tests, Kruskal-Wallis, and multinomial logistic regression were used to explore the factors influencing different depression profiles in older adults.

RESULTS

A total of 4481 subjects were included in this study and were classified as low-level (11.6 %), moderate-level (51.6 %), and high-level (36.8 %). Compared to the low-level, the influencing factors for the high-level were IADL, anxiety, self-rated health, exercise, and education; and the influencing factors for the medium level group were anxiety, self-rated health, drink, and education. Factors influencing high-level relative to the mid-level group were IADL, anxiety, residence, self-rated health, exercise, and limited in activities.

LIMITATIONS

The CESD-10, as a screening tool, could not completely determine the presence of depression in high levels of empty nesters.

CONCLUSIONS

Psychological problems arising from depression among empty nesters seriously affected their overall health, and targeted intervention strategies should be developed for different categories of older adults to improve depression and enhance health-related quality of life.

Associations of vision impairment and eye diseases with frailty in community-dwelling older adults: a nationwide longitudinal study in China

AIMS

To test whether vision impairment and major ophthalmic conditions are predictive of frailty.

METHODS

The analysis included 5321 participants aged 60-95 years at baseline from the China Health and Retirement Longitudinal Study. Participants were enrolled in 2011 and followed up in 2013, and 2015 through a face-to-face interview. Distance/near vision impairment was defined by reporting poor eyesight and reporting excellent, very good, good or fair eyesight was used as the reference. A history of cataract surgery and glaucoma were also self-reported. Frailty was defined as the presence of ≥3 of the five components of the Fried phenotype: weakness, slowness, exhaustion, inactivity and shrinking.

RESULTS

In the cross-sectional analysis, both near (odds ratio [OR] (95% confidence interval [CI]): 1.62 (1.30 to 2.00)) and distance (1.59 (1.30 to 1.96)) vision impairment was associated with a higher prevalence of frailty independent of confounders. In the longitudinal analysis, the multivariable-adjusted OR (95% CI) for incident frailty associated with glaucoma, distance vision impairment, near vision impairment and vision problem was 3.41 (1.46 to 7.99), 1.59 (1.17 to 2.17), 1.62 (1.17 to 2.23) and 2.11 (1.41 to 3.15), respectively. Vision problem was associated with decreased handgrip strength (β (95% CI): -1.47 (-2.20 to -0.75) kg) during follow-up. Individuals with glaucoma (-0.11 (-0.16 to -0.05) m/s), distance vision impairment (-0.02 (-0.03 to 0.00) m/s) or vision problem (-0.02 (-0.05 to 0.00) m/s) had decreased gait speed compared with the control group.

CONCLUSIONS

Vision problem, vision impairment and glaucoma are important predictors of frailty in older adults.

Estimating the joint effect of household solid fuel use and social isolation on depression among middle-aged and older adults in China

BACKGROUND

Household solid fuel use and social isolation are reported to increase the risk of depressive symptoms, but their joint effect has not yet been examined. This study aimed to explore the separate and joint effects of household solid fuel use and social isolation on depression.

METHODS

We used data from the latest four waves (2011-2018) of the China Health and Retirement Longitudinal Study (CHARLS). Depression was defined as a score of ≥12 using the Center for Epidemiologic Studies Depression Scale (CES-D 10). Cox proportional hazards models were applied to explore the separate and joint associations of household solid fuel use and social isolation with incident depression.

RESULTS

During the seven-year follow-up, 2793 (30.25 %) out of the 9232 participants were identified with depressive symptoms. Solid fuel use for household heating or cooking was significantly associated with more hazards of depressive symptoms after adjusting for potential confounders (cooking: HR = 1.280, 95 % CI = 1.175-1.394; heating: HR = 1.142, 95 % CI = 1.054-1.238). High social isolation at baseline was also a significant predictor of incident depressive symptoms (HR = 1.139, 95 % CI = 1.053-1.231). Participants exposed to both solid fuel use and high social isolation were found to have higher hazards of experiencing depressive symptoms than those exposed to none or only one of these two risk factors (heating: HR for 'solid fuel use + high social isolation'=1.308 versus HR for other groups = 1-1.185; cooking: HR for 'solid fuel use + high social isolation' = 1.430 versus HR for other groups = 1-1.255).

CONCLUSION

Household solid fuel use and social isolation were separately and jointly associated with higher risks of incident depression. Appropriate interventions to reduce solid fuel use and social isolation are recommended to improve the psychological health among middle-aged and older adults in China.

Association between changes in depressive symptoms and falls: The China health and retirement longitudinal study (CHARLS)

PURPOSE

This study aimed to investigate the impact of depressive symptoms and changes in depressive status on falls among middle-aged and older population in China.

METHODS

We used two waves of interview data (time 1 [T1] and time 2 [T2], 2 years from T1) from a nationally representative sample of the China Health and Retirement Longitudinal Study (CHARLS), which included a total of 14,356 participants (male 6859; mean age: 59.5 ± 9.3 years). Depressive symptoms were assessed using the 10-item short form of the Center for Epidemiologic Studies Depression Scale (CES-D-10). Participants were categorized into four groups based on changes in their CES-D-10 scores over a 2-year follow-up period. Self-reported falls were evaluated, and logistic regression models and restricted cubic splines (RCS) were employed to examine the relationship between depressive symptoms and fallen.

RESULTS

Participants who had experienced falls had higher CES-D-10 scores and were more likely to have depressive symptoms. Depressive symptoms at T1 were significantly associated with falls during the follow-up period. After adjusting for covariables, increasing CES-D-10 scores were associated with higher adjusted odds ratios (ORs) for falling prevalence: 1.230 (95 % CI, 1.041-1.453), 1.579 (95 % CI, 1.331-1.873), 1.745 (95 % CI, 1.472-2.070), and 2.366 (95 % CI, 1.972-2.838). Participants who experienced depressive symptoms at either T1 or T2, as well as those with persistent depressive symptoms from T1 to T2, were both at higher risk for future falls. The worsening of depressive symptoms significantly increased the likelihood of falls.

CONCLUSION

This study revealed a significant association between depressive symptoms and changes in depressive status with subsequent falls in older adults. The heightened fall risk among individuals with depressive symptoms underscores the importance of addressing mental health as an integral part of comprehensive fall prevention strategies.

Mediating and Moderating Effects of Internet Use on Urban-Rural Disparities in Health Among Older Adults: Nationally Representative Cross-Sectional Survey in China

BACKGROUND

The urban-rural disparities in health outcomes in China are remarkable. The internet has shown the potential to reduce the likelihood of contracting a disease by increasing disease knowledge. However, little is known about the effects of internet use in alleviating health inequities between urban and rural areas.

OBJECTIVE

This study aimed to examine the mediation and moderation of health disparities between urban and rural older adults through internet use.

METHODS

A total of 8223 respondents were selected from the China Health and Retirement Longitudinal Study 2018 data set. Basic activities of daily living, a brief Community Screening Instrument for Dementia, and the Centre for Epidemiologic Studies Depression Scale were used to measure functional disability, cognitive function, and depressive symptoms, respectively. Logistic regressions testing "internet use×urban-rural status" interactions for moderation and Karlson-Holm-Breen decomposition for mediation were performed.

RESULTS

Internet use moderated the urban-rural disparities in cognitive function (odds ratio 7.327, 95% CI 3.011-17.832) and depressive symptoms (odds ratio 1.070, 95% CI 1.037-1.787), but the moderating effects were significant only for those using the internet daily. Karlson-Holm-Breen results showed the suppression effects of using the internet daily (β=.012, 95% CI .002-.021) on the association between urban-rural status and cognitive function. The urban-rural inequality in depressive symptoms was partially attributed to the disparity in internet use (β=-.027, 95% CI -.043 to -.009).

CONCLUSIONS

The urban-rural inequalities in mental health are partially attributable to disparities in the prevalence of internet use between the 2 groups. However, using the internet is more beneficial for the psychological health of rural users, thereby alleviating the urban-rural disparities in health. Providing convenient channels for rural older adults to use the internet, improving the ability of rural users to effectively use the internet, and promoting internet popularity in rural areas are effective approaches to reducing urban-rural health inequalities.

Social activities and long-term depressive-symptoms trajectories among middle-aged and older adults in China: a population-based cohort study

Background

The association between social activities and depressive symptoms remains unclear. This study aimed to explore the relationship between social activities at baseline and the long-term depressive-symptoms trajectories among a cohort of middle-aged and older adults in China.

Methods

This study included 13,258 participants aged 45 years and older from the China Health and Retirement Longitudinal Study (CHARLS). Depressive symptoms across four waves from 2011 to 2018 were evaluated using the 10-item Center for Epidemiologic Studies Depression Scale (CESD-10). Four types of social activities were assessed at baseline by self-report: (1) interacting with friends; (2) playing Mahjong, chess, and cards or attending a community club; (3) providing help to family, friends, or neighbors; and (4) attending a sporting or social event or club. Group-based trajectory modeling (GBTM) was used to map depressive-symptoms trajectories during the follow-up period.

Results

Not interacting with friends at baseline was associated with an increased risk of increasing (adjusted odds ratio [aOR]: 1.21, 95% confidence interval [CI]: 1.03, 1.41) and severe-stable (aOR: 1.35, 95% CI: 1.10, 1.65) depressive-symptoms trajectories. Participants who did not play Mahjong, cards, or chess and did not attend a sporting or social event or club at baseline were more likely to have mild-stable, decreasing, increasing, and severe-stable depressive-symptoms trajectories.

Conclusion

Social activities play an important role in long-term depressive-symptoms trajectories in middle-aged and older Chinese adults. Interacting with friends, attending sports, or social clubs may prevent depressive symptoms.

Depression as a Mediator and Social Participation as a Moderator in the Bidirectional Relationship Between Sleep Disorders and Pain: Dynamic Cohort Study

BACKGROUND

Chronic pain, sleep disorders, and depression are major global health concerns. Recent studies have revealed a strong link between sleep disorders and pain, and each of them is bidirectionally correlated with depressive symptoms, suggesting a complex relationship between these conditions. Social participation has been identified as a potential moderator in this complex relationship, with implications for treatment. However, the complex interplay among sleep disorders, pain, depressive symptoms, and social participation in middle- and old-aged Asians remains unclear.

OBJECTIVE

This study aimed to examine the bidirectional relationship between sleep disorders and pain in middle- and old-aged Chinese and measure the role of depression as a mediator and social participation as a moderator in this bidirectional relationship through a dynamic cohort study.

METHODS

We used data from the China Health and Retirement Longitudinal Study across 5 years and included a total of 7998 middle- and old-aged people (≥45 years old) with complete data in 2011 (T1), 2015 (T2), and 2018 (T3). The cross-lag model was used to assess the interplay among sleep disorders, pain, depressive symptoms, and social participation. Depressive symptoms were assessed by the 10-item Centre for Epidemiological Studies Depression scale. Sleep disorders were assessed by a single-item sleep quality scale and nighttime sleep duration. The pain score was the sum of all pain locations reported. Social participation was measured using self-reported activity.

RESULTS

Our results showed significant cross-lagged effects of previous sleep disorders on subsequent pain at T2 (β=.141; P<.001) and T3 (β=.117; P<.001) and previous pain on subsequent poor sleep at T2 (β=.080; P<.001) and T3 (β=.093; P<.001). The indirect effects of previous sleep disorders on pain through depressive symptoms (β=.020; SE 0.004; P<.001; effect size 21.98%), as well as previous pain on sleep disorders through depressive symptoms (β=.012; SE 0.002; P<.001; effect size 20.69%), were significant across the 3 time intervals. Among participants with high levels of social participation, there were no statistically significant effects of previous sleep disorders on subsequent pain at T2 (β=.048; P=.15) and T3 (β=.085; P=.02), nor were there statistically significant effects of previous pain on subsequent sleep disorders at T2 (β=.037; P=.15) and T3 (β=.039; P=.24). Additionally, the mediating effects of depressive symptoms on the sleep disorders-to-pain pathway (P=.14) and the pain-to-sleep disorders pathway (P=.02) were no longer statistically significant.

CONCLUSIONS

There is a bidirectional relationship between sleep disorders and pain in middle- and old-aged Asians; depression plays a longitudinal mediating role in the bidirectional relationship between them; and social participation moderates the bidirectional relationship between them directly and indirectly by affecting depression. Future interventions may consider the complex relationship between these conditions and adopt a comprehensive treatment regime.

Association between chronic disease and depression among older adults in China: the moderating role of social participation

OBJECTIVES

Depression is an increasingly serious mental health problem worldwide. Therefore, this study aimed to explore the association between chronic disease and depression and to further test the moderating role of social participation in this association.

STUDY DESIGN

This is a cross-sectional study.

METHODS

We screened 6421 subjects from the 2018 wave of the China Health and Retirement Longitudinal Study database. Social participation and depressive symptoms were assessed using the 12-item self-made scale and 10-item Center for Epidemiological Studies Depression Scale, respectively. Hierarchical regression was used to determine the main effect of chronic disease and depression and the moderating effect of social participation on the relationship between chronic disease and depression.

RESULTS

In this study, 3172 (49.40%) eligible participants were male, 4680 (72.90%) older adults were concentrated in the 65-74 years group, and 68.20% reported good health status. In addition, gender, area, education level, marital status, health status, health insurance, health service utilization, and physical activity intensity were significant factors associated with participants' depression status (P < 0.05). The results also showed that a higher number of chronic diseases were associated with a higher depression score after adjusting for confounders (single disease: β = 0.074, P < 0.001; multimorbidity: β = 0.171, P < 0.001) and that social participation played a moderating role in this association (β = -0.030, P < 0.05).

CONCLUSIONS

This study tentatively suggests that a higher number of chronic diseases are associated with rising depression scores in the older Chinese population. In addition, the moderating effect of social participation suggests that more active social engagement should be promoted in this population to alleviate the depressive mood.

Association between multimorbidity patterns and incident depression among older adults in Taiwan: the role of social participation

Background

Previous research has found different multimorbidity patterns that negatively affects health outcomes of older adults. However, there is scarce evidence, especially on the role of social participation in the association between multimorbidity patterns and depression. Our study aimed to explore the relationship between multimorbidity patterns and depression among older adults in Taiwan, including the social participation effect on the different multimorbidity patterns.

Methods

Data were retracted from the Taiwan longitudinal study on ageing (TLSA) for this population-based cohort study. 1,975 older adults (age > 50) were included and were followed up from 1996 to 2011. We used latent class analysis to determine participants’ multimorbidity patterns in 1996, whereas their incident depression was determined in 2011 by CES-D. Multivariable logistic regression was used to analyse the relationship between multimorbidity patterns and depression.

Results

The participants’ average age was 62.1 years in 1996. Four multimorbidity patterns were discovered through latent class analysis, as follows: (1) Cardiometabolic group (n = 93), (2) Arthritis-cataract group (n = 105), (3) Multimorbidity group (n = 128) and (4) Relatively healthy group (n = 1649). Greater risk of incident depression was found among participants in the Multimorbidity group (OR: 1.62; 95% CI: 1.02–2.58) than the Relatively healthy group after the multivariable analysis. Compare to participants in the relatively healthy group with social participation, participants in the arthritis-cataract group without social participation (OR: 2.22, 95% CI: 1.03–4.78) and the multimorbidity group without social participation (OR: 2.21, 95% CI: 1.14–4.30) had significantly increased risk of having depression.

Conclusion

Distinct multimorbidity patterns among older adults in Taiwan are linked with the incident depression during later life, and social participation functioned as a protective factor.

Cognitive Function and Depressive Symptoms among Chinese Adults Aged 40 Years and Above: The Mediating Roles of IADL Disability and Life Satisfaction

The purpose of this study was to investigate the relationship between cognitive function and depressive symptoms among Chinese adults aged 40 years and above, as well as the series of multiple mediating effects of Instrument Activities of Daily Living disability and life satisfaction on this relationship. The data was obtained from the China Health and Retirement Longitudinal Study (CHARLS, 2013-2018), including 6466 adults aged 40 years and above. The mean age of the adults was 57.7 ± 8.5. The SPSS PROCESS macro program was conducted to examine the mediating effects. The results indicated that there was a significant association between cognitive function and depressive symptoms five years later (B = -0.1500, 95%CI: -0.1839, -0.1161), which could also be demonstrated through three mediation pathways: (1) the mediating pathway through IADL disability (B = -0.0247, 95%CI: -0.0332, -0.0171); (2) the mediating pathway through life satisfaction (B = 0.0046, 95%CI: 0.0000, 0.0094); and (3) the chain mediation pathway through IADL disability and life satisfaction (B = -0.0012, 95%CI: -0.0020, -0.0003). Both IADL disability and life satisfaction have been proven to be crucial mediators for the relationship between cognitive function and depressive symptoms five years later. It is necessary to improve individuals' cognitive function and reduce the negative impact of disability on them, which is important to enhance their life satisfaction and prevent depressive symptoms.

Urbanization and depressive symptoms among middle-aged and older adults in China

Aims

Urbanization plays an important role in individuals' health. However, it is difficult to isolate healthy migrant effect between urbanization and health. This study examined the effects of urbanization on depressive symptoms and its possible pathways among Chinese middle-aged and older adults independent of the influence of health-selective migration.

Methods

Using the baseline survey of the China Health and Retirement Longitudinal Study, this study compared the depressive symptoms among three groups (urbanized rural residents, rural non-migrants and urban non-migrants). The 10-item Center for Epidemiologic Studies Depression Scale (CESD-10) short form was used to measure depressive symptoms. Logistic regression models and Structural Equation Model (SEM) were applied to examine the association between urbanization and depressive symptoms and the corresponding potential mechanisms.

Results

Our final sample contained 11,156 respondents with an average age of 58.91 (SD = 9.48), with 5,142 males (46.09%) and 6,014 females (53.91%). Compared with urbanized rural residents, rural residents were more likely to have depressive symptoms (OR = 1.19, 95% CI = 1.07, 1.32), and urban residents were associated with a decreased risk of depressive symptoms (OR = 0.81, 95% CI: 0.70, 0.94). A large proportion of the association between urbanization and depressive symptoms were mainly mediated by social participation, income and living conditions.

Conclusions

Planned urbanization had an independent impact on decreased depressive symptoms. Improvements in social participation, income and living conditions are the main drivers behind this relationship. Additionally, urbanization compensates for the negative impact of depressive symptoms from disadvantaged early life conditions, but it cannot eliminate the gap between urbanized rural people and urban non-migrants.

Associations between trajectories of social participation and functional ability among older adults: Results from the China Health and Retirement Longitudinal Study

Introduction

Functional ability (FA) and social participation (SP) are important indicators of healthy aging, both their trajectories are heterogeneous. It is little known about how the SP trajectories affects FA trajectories.

Methods

FA was assessed by 20 items covering the ability of meeting basic needs and mobility. SP was assessed by frequency of participating in 10 social activities. Group-based trajectory modeling (GBTM) was used to identify the trajectories of FA and SP of the participants.

Results

Two FA trajectories were identified: low baseline-decline tendency (16.1%) and high baseline-stable tendency (83.9%) trajectories. Two SP trajectories were also identified: low baseline-stable tendency (58.5%) and high baseline-increase tendency (41.5%) trajectories. After controlling for the potential covariates, participants among the high baseline-increase tendency SP trajectory group also had significantly higher odds ratios to be belonged in high baseline-stable tendency FA trajectory group (ORs = 2.64, 95%CI = 1.98-3.05).

Conclusions

High-increasing social participation had a protective effect to maintain high baseline-stable tendency functional ability among older adults. These findings suggest social participation appears to have great benefits on promoting healthy aging in China.

Factors leading to the trajectory of cognitive decline in middle-aged and older adults using group-based trajectory modeling: A cohort study

Currently, studies exploring factors associated with the cognition at some time point and no study identifying the trajectories of cognitive changes and factors might associate with the trajectories of cognitive changes in people. This study was to identify factors associated with the trend of cognitive decline in middle-aged and older people. In this cohort study, the data of 6954 subjects were collected from China Health and Retirement Longitudinal Survey database. Group-based trajectory modeling was applied for identifying three different trajectories of cognitive function change [high initial level and slow decline group (n = 1024), moderate initial level and moderate decline group (n = 2673) and low initial level and rapid decline (LRD) group (n = 3277)]. Univariate and multivariate logistic regression analysis was conducted to identify variables influencing factors of the trajectories of cognitive function in middle-aged and older people. The follow-up interval was 2 years from 2011 to 2015, and 3 years from 2015 to 2018 via face-to-face interview. High initial level and slow decline group versus LRD group, age (OR = 2.591, 95% CI: 1.962-3.421), gender (OR = 1.398, 95% CI: 1.133-1.725), education (OR = 0.051, 95% CI: 0.039-0.068), place of residence (OR = 2.768, 95% CI: 1.663-4.606), disabled (OR = 1.557, 95% CI: 1.189-2.039), family annual income (OR = 0.757, 95% CI: 0.618-0.929), sleep duration (OR = 1.266, 95% CI: 1.023-1.567), instrumental activity of daily living impairment (OR = 2.513, 95% CI: 1.947-3.245), community activities participation (OR = 0.611, 95% CI: 0.500-0.748), depression (OR = 1.471, 95% CI: 1.185-1.828), and systolic blood pressure (OR = 1.005, 95% CI: 1.001-1.009) were factors influencing the trajectories of cognitive function. Comparing moderate initial level and moderate decline group and LRD group, age (OR = 1.245, 95% CI: 1.052-1.474), gender (OR = 1.244, 95% CI: 1.062-1.458), education (OR = 0.244, 95% CI: 0.190-0.314), marital status (OR = 1.291, 95% CI: 1.079-1.546), place of residence (OR = 1.677, 95% CI: 1.358-2.071), disability (OR = 1.396, 95% CI: 1.180-1.652), smoking (OR = 1.249, 95% CI: 1.071-1.457), family annual income (OR = 0.863, 95% CI: 0.768-0.970), sleep duration (OR = 1.215, 95% CI: 0.973-1.541), instrumental activity of daily living impairment (OR = 1.309, 95% CI: 1.098-1.560), community activities participation (OR = 0.804, 95% CI: 0.718-0.900) and depression (OR = 1.383, 95% CI: 1.217-1.571) were factors associated with the trajectories of cognitive function changes. Middle-aged and older adults who had characteristics associated with increased risk of cognitive decline might be provided with timely interventions.

Self-reported visual impairment and depression of middle-aged and older adults: The chain-mediating effects of internet use and social participation

Background

Visual impairment (VI) is a strong predictor of depression in middle-aged and older adults. However, the underlying mechanisms and pathways have not been well characterized. The purpose of this study was to determine whether Internet use and social participation mediate the effects of self-reported VI on depression.

Methods

The study used the fourth wave of cross-sectional data from the China Health and Retirement Longitudinal Study, including 19,766 Chinese adults. Depression was assessed according to the CES-D 10 International Scale. Logistic regression models were used to examine the relationship between self-reported VI and depression. While adjusting for relevant covariates, the PROCESS macro (model nos. 6 and 91) was used to assess the chain-mediating effects of Internet use and social participation.

Results

A total of 17,433 respondents were included in this study. The CES-D 10 results showed that 7,327 middle-aged and older adults had depressive symptoms, of whom 39.5% were male and 10.2% were ≥75 years old. 32.1% of respondents self-reported VI. Regression analysis showed a positive association between VI and depression, while Internet use and social participation had a negative predictive effect on depression. In the mediation analysis, the social participation pathway contributed the most to the total effect, accounting for 52.69% of it. The proportion of Internet use is 37.72%. When these two mediators were considered together in the full model, they accounted for 9.58% of the total effect of VI on depression.

Conclusion

Internet use and social participation were important mediators that mitigated the effects of VI on depression. Combined with previous evidence, online activities such as e-health and m-health can effectively promote disease monitoring and diagnosis, and various offline social participation activities can also play a role in regulating emotions. Therefore, Internet use and social participation factors may serve as relevant entry points for the development of intervention programs that may further improve the mental health of the visually impaired.

Community social capital and the health-related quality of life among empty-nest elderly in western China: moderating effect of living arrangements

BACKGROUND

At present, the empty nest phenomenon is becoming more and more serious in the world, especially in China, and its health problems deserve attention. Therefore, the purpose of this study is to explore the impact of community social capital on the health-related quality of life of empty-nest elderly.

METHODS

The study used data collected from a survey study conducted between 2018 and 2019 in Sichuan province, China, with 638 empty-nest elderly meeting our criteria. SF-12 scale and self-made social capital scale were used to evaluate the health-related quality of life and community social capital of empty-nest elderly. Through descriptive statistical analysis, bivariate analysis and hierarchical multiple regression model, this study analyzes the relationship between community social capital and health-related quality of life of empty-nest elderly. Considering the role of living arrangements, this study further uses the simple effect analysis method to explore the moderating role of living arrangements.

RESULTS

After controlling the relevant variables, the cognitive social capital (CSC) of empty-nest elderly had a positive relationship with the physical health summary (PCS) (β = 0.188, p＜0.001) and mental health summary (MCS) (β = 0.205, p＜0.001). No effect of structural social capital on quality of life was found as a result. Living arrangements played a moderation effect on the relationship between CSC and MCS (β=-2.018, p＜0.05). The MCS score of high CSC group (55.516 ± 0.757) was significantly higher than that of low CSC group (49.383 ± 0.722).

CONCLUSION

The results suggest empty-nest elderly has poorer physical health and weaker structural social capital, while the cognitive social capital has a greater positive impact on their quality of life. Targeted interventions to enhance community social capital may be beneficial to improve health status of this vulnerable population.

Research on the Relationship between Chinese Elderly Health Status, Social Security, and Depression

(1) Background: To explore the relationship between health status, social security status, and the occurrence of depression in older adults and provide a basis for mental health care services for the elderly population; (2) Methods: This study used the 2018 China Health and Senior Care Tracking Survey (CHARLS) data to select 8383 older people aged over 60 years old as the research subjects. The two-category Logistic model was used to analyze the research problem; (3) Results: Older adults with depressive tendencies accounted for 34.1% of the total older adults. The incidence of depression among female older adults reached 41.51%. The risk of depression in the elderly population was 40.3% lower in males than in females (OR = 0.597, 95% CI: 0.539−0.662). Self-rated health status, physical disability, and receipt of pensions affected the incidence of depression in older adults (all p < 0.05); (4) Conclusions: Focus on and intervene in the mental status of elderly females and disabled elderly people. Provide mental and economic support and mental health care services to the elderly at the family and social levels. Promote the healthy development of the mental health of the elderly and promote active aging.

Changes and predictors of sleep quality with a 2-year follow-up in older adults according to living arrangements

OBJECTIVES

This study aimed to explore changes and predictors of sleep quality with a 2-year follow-up in Chinese elderly individuals and to further present them according to living arrangements.

METHODS

A total of 3005 individuals were effectively surveyed at baseline and at the 2-year follow-up. Generalized estimating equation (GEE) was performed to explore associations between sleep quality and predictor variables.

RESULTS

The rate of poor sleep quality was 32.6% at baseline and 27.4% at follow-up. According to living arrangements, sleep quality improved among empty nesters living as a couple (P < 0.001). After adjusting for sex, age, and other influencing factors, empty nesters living alone had poorer sleep quality (OR = 1.399, 95% CI = 1.022-1.917) than nonempty nesters. Sex, age, education, self-reported health, depression, and social support were predictors of poor sleep quality for all participants. In the subgroup analyses, self-reported physical health and body mass index (BMI) were predictors of sleep quality in the nonempty-nester group, but depression was not a predictor. Depression was a predictor of sleep quality in the empty-nester group.

CONCLUSIONS

Sleep quality was improved in this 2-year follow-up survey. However, sleep quality problems in the elderly cannot be ignored, especially empty nesters living alone. Therefore, according to living arrangements, different intervention methods should be selected to prevent and control poor sleep quality.

Effects of Social Participation and Its Diversity, Frequency, and Type on Depression in Middle-Aged and Older Persons: Evidence From China

Background

Depression is one of the greatest public health problems worldwide. The potential benefit of social participation (SP) on mental health has been widely acknowledged. Nevertheless, a few studies have used propensity score matching (PSM) to reduce the influence of data bias and confounding variables. This study explored the effect of social participation on depression among middle-aged and older Chinese persons through a PSM method, considering the frequency, type, and quantity of SP. Effects were compared among different age groups, genders, and places of residence.

Methods

The datasets were obtained from the 2018 wave of the China Health and Retirement Longitudinal Study. A total of 9,404 respondents aged 45 and above were included in the study. PSM and ordinary least squares methods were used to estimate the effect of social participation on depression.

Results

PSM estimation results showed that SP had a significantly positive effect on decreasing depression scores (p < 0.001) by 0.875-0.898 compared with persons without SP. All types of SP had a significantly positive effect (p < 0.001), and participating in community activities had the largest effect (β = -1.549 to -1.788, p < 0.001). Higher frequency of participation and more types of SP promoted lower depression scores; subgroup analyses revealed that the promotion effect was significantly greater among women, those aged ≥75 years, and those living in urban areas.

Conclusion

PSM indicated that SP could alleviate the depression of middle-aged and older Chinese persons. Targeted measures should be adopted to promote SP and thereby improve mental health and promote healthy and active aging.

Depression symptoms and quality of life in empty-nest elderly among Chengdu: A cross-sectional study

OBJECTIVES

To estimate the prevalence of depression symptoms and quality of life (QoL) and examined the influence of factors in the empty nest elderly.

METHODS

This was a cross-sectional study, which was conducted from February 2022 to May 2022. We recruited a convenience sample of no empty-nest elderly and empty-nest elderly (≥60 years) living in Chengdu. QoL was assessed using WHOQOL-BREF, Geriatric Depression Scale (GDS-15) was used to assess depression symptoms. Multivariable logistic regression was used to analyze data between independent variables with depression symptoms.

RESULTS

Two thousand twenty-six participants were included in this study, 39.0% (660/1,082) experienced depression symptoms among empty-nest elderly. Age (aOR, 1.02; 95% CI, 1.00-1.04; P = 0.046), chronic disease≥2 (aOR, 3.29; 95% CI, 2.50-4.33; P < 0.001) were associated with increased risk of depression symptoms, and physical activity (aOR, 0.59; 95% CI, 0.40-0.87; P = 0.008), physical health (aOR, 0.93; 95% CI, 0.88-0.99; P = 0.026), psychological health (aOR, 0.93; 95% CI, 0.87-0.98; P = 0.013), and total score (aOR, 0.97; 95% CI, 0.96-0.99; P < 0.001) were associated with decreased risk of depression symptoms among empty-nest elderly.

CONCLUSIONS

Depression symptoms are common mental health problems among empty-nest elderly. We found that age, chronic disease ≥2 and physical activity were important factors that have an impact on depressive symptoms. Empty-nest elderly would have lowered QoL score.

Study on Dynamic Progression and Risk Assessment of Metabolic Syndrome Based on Multi-State Markov Model

AIM

Metabolic syndrome (MetS) coexists with the occurrence and even death of cardiovascular disease and diabetes mellitus. It is essential to study the factors in the dynamic progression of MetS in the interest of prevention and control.

PURPOSE

The aim of this study was to analyze the dynamic progression of Mets and explore the potential factors influencing the progression or reversal of MetS.

PATIENTS AND METHODS

This study involved 5581 individuals from two waves of the China Health and Retirement Longitudinal Study: 2011 and 2015. A multistate Markov model containing 4 states (free of metabolic disorder (FMD), mild metabolic disorder (MMD), severe metabolic disorder (SMD) and MetS) was adopted to study the dynamic progression of MetS and its influencing factors.

RESULTS

After follow-up, a total of 2862 cases (50.28% of the total number) had disease state transition. The intensity of transition from MetS to SMD is the same as that from SMD to MMD, and is greater than that from MMD to Mets (0.06 vs 0.05). For the MetS state, a mean of 1/0.08=12.5 years was spent in the MetS state before recovery. The exercise, smoke, drink, BMI level, hyperuricemia had statistically significant effects on progression of MetS status (P<0.05). The obesity or overweight, little exercise, smoke, drink and hyperuricemia increased the risk of forward progression of MetS disease status. There were significant nonmodifiable (age, gender) and modifiable factors (exercise, drink, BMI level, or high HbA1c) associated with reversion of MetS state.

CONCLUSION

The likelihood of progression from MMD to MetS is less likely than that of reversion from MetS to SMD and SMD to MMD. Old females were more resistant to recover from worse states than males. Prevention and intervention measures should be adopted early when MMD or SMD onset occurs.

The major risk factor for depression in the Chinese middle-aged and elderly population: A cross-sectional study

BACKGROUND

The number of patients suffering from depression is continuously increasing in China. Demographic characteristics, physical health levels, and individual lifestyles/healthy behaviors are associated with the severity of depression. However, the major risk factor for depression remains unclear.

MATERIALS AND METHODS

In this investigation, 16,512 patients were screened using the CHARLS (China Health and Retirement Longitudinal Study) database after being determined to be eligible based on the inclusion criteria. Depressive symptoms were evaluated through the CESD-10 (10-item Center for Epidemiological Studies Depression Scale). Consequently, various models were developed based on potential predictive factors, employing stepwise LR (Logistic Regression)/RF (Random Forests) models to examine the influence and weighting of candidate factors that affect depression.

RESULTS

Gender, residential address location, changes in health status following last interview, physical disabilities, chronic pain, childhood health status, ADL (activity of daily living), and social activity were all revealed to be independent risk factors for depression (p < 0.05) in this study. Depression has a synergic effect (across chronic pain and age groups). In comparison to other factors, RF results showed that chronic pain had a stronger impact on depression.

CONCLUSION

This preliminary study reveals that chronic pain is a major risk factor for depression.

Association between Kihon check list score and geriatric depression among older adults from ORANGE registry

Objective

Older adults in Japan are tackling health-related challenges brought by comprehensive geriatric symptoms, such as physical and cognitive problems and social-psychological issues. In this nationwide study, we mainly focused on the Kihon checklist (KCL) as certificated necessity of long-term care for Japanese older adults and investigated whether the KCL score was associated with geriatric depression. In addition, we aimed to identify critical factors that influence the relationship between the KCL score and geriatric depression.

Methods

This survey was a cross-sectional observational study design, performed from 2013 to 2019. A total of 8,760 participants aged 65 years and over were recruited from five cohorts in Japan, consisting of 6,755 persons in Chubu, 1,328 in Kanto, 481 in Kyushu, 49 in Shikoku and 147 in Tohoku. After obtaining informed consent from each participant, assessments were conducted, and outcomes were evaluated according to the ORANGE protocol. We collected data on demographics, KCL, physical, cognitive and mental evaluations. To clarify the relationship between the KCL and geriatric depression or critical factors, a random intercept model of multi-level models was estimated using individual and provincial variables depending on five cohorts.

Results

The KCL score was correlated with depression status. Moreover, the results of a random intercept model showed that the KCL score and geriatric depression were associated, and its association was affected by provincial factors of slow walking speed, polypharmacy and sex difference.

Conclusions

These results suggest that provincial factors of low walking performance, polypharmacy and sex difference (female) might be clinically targeted to improve the KCL score in older adults.