Promoting social engagement of the elderly to cope with aging of the Chinese population

Bidirectional relationship between C-reactive protein and depressive symptoms considering cumulative effect among Chinese middle-aged and older adults

Introduction

Research examining the bidirectional relationship between C-reactive protein (CRP) and depressive symptoms, while accounting for cumulative effect of repeated episodes of CRP or depressive symptoms, is currently deficient in non-Western populations.

Methods

A nationally representative population-based cohort data from the Chinese Health and Retirement Longitudinal Study (CHARLS) was utilized. In bi-directional analysis, we considered both single determinations and two successive determinations of CRP or depressive symptoms. Multivariate logistic regression assessed the association between elevated CRP levels at baseline or repeated episodes of CRP elevations over two successive determinations and subsequent elevated depressive symptoms, and vice versa.

Results

Although single determinations of CRP or depressive symptoms yielded non-significant results in both directions, full multivariate models, adjusting for baseline depressive symptoms, socio-demographic characteristics, health-related behaviors, metabolic measures, and health status, revealed a significantly positive association based on two successive determinations of CRP or depressive symptoms. This significant association was observed between cumulative effects of sustained CRP elevations over two successive determinations (2 vs. 0) and subsequent elevated depressive symptoms (OR=1.58; 95% CI: 1.15 to 2.17) and between cumulative effect of repeated episodes of depression (2 vs. 0) and later elevated CRP (OR=1.26; 95% CI: 1.02 to 1.56). Furthermore, sex-stratified analyses confirmed the robustness of these relationships.

Conclusion

There are bidirectional associations between depressive symptoms and CRP, driven by the cumulative effect of repeated episodes of CRP or depressive symptoms among middle-aged and older Chinese adults. These findings hold significant clinical implications, highlighting the potential of both anti-inflammatory and anti-depression approaches.

Intrinsic capacity trajectories, predictors and associations with care dependence in community-dwelling older adults: A social determinant of health perspective

AIMS

To identify intrinsic capacity trajectories, predictors of intrinsic capacity trajectories and associations between intrinsic capacity trajectories and care dependence in community-dwelling older adults in China.

METHODS

A retrospective longitudinal study was conducted, and the data were obtained from a five-year national longitudinal cohort study of older adults in China between 2011 and 2015. The social determinants of health framework informed the data analysis and interpretation.

RESULTS

A total of 3893 older adults met the selection criteria and were included in the study. Three intrinsic capacity trajectories were identified: high trajectory (15.7 %), stable trajectory (52.7 %) and declining trajectory (31.6 %). Social determinants contribute to intrinsic capacity decline in older adults. Decreased cognitive function, psychological status, and locomotion at baseline were associated with care dependence.

CONCLUSION

Approximately thirty percent of the older adults in this cohort study experienced a decline in intrinsic capacity within a 5-year period. Social determinants contributed to this decline in older adults.

Factors related to satisfaction with community-based home aging services in Shandong, China

Purpose

This study investigated the satisfaction of current community-based home care services and its factors in adults aged ≥60 years.

Methods

Using stratified cluster random sampling, we surveyed 1,494 older adults in Jinan and Qingdao, Shandong province, between 2021 and 2023. The baseline and satisfaction surveys were designed by our research team, and the questionnaires were conducted in the form of structured interviews. Kruskal-Wallis H-test and Logistic regression analysis were used to explore the influencing factors of satisfaction.

Results

The satisfaction was mainly affected by age (p = 0.007), marital status (p < 0.001), pre-retirement occupation (p = 0.003), economic source (p < 0.001), and mode of residence (p = 0.001) in the study of 1,494 older adults. Under the influence of multiple factors, the evaluation of older adults services, married [OR = 4.039, 95% CI: 1.176-13.877] were more inclined to be average, and their occupations were agriculture, forestry, animal husbandry, fishery, and water production workers [OR = 0. 237, 95% CI: 0.068-0.819] and production and transportation equipment operators and related personnel [OR = 0.153, 95% CI: 0.024-0.966] or [OR = 0.153, 95% CI: 0.029-0.820] tended to be more dissatisfied.

Conclusion

The satisfaction level of community-based home care services is relatively high among older adults, and it is mainly affected by factors such as age, marital status, pre-retirement occupation, source of financial resources, and mode of residence. Addressing the emotional needs of older adults, lowering the cost of aging, and integrating health care and aging seamlessly are among the ongoing challenges that we need to tackle.

Spatial differentiation and driving factors of the high-quality development of undertakings for the aged of China

BACKGROUND

Promoting the high-quality development (HQD) of undertakings for the aged is an important action to proactively respond to the rapid population aging in China. This study analyzes spatial differentiation and driving factors of the HQD of China's undertakings for the aged.

METHODS

Based on a quantitative indicator system consisting of old-age social security, elder care services, health care service and older adults' social participation, the HQD levels of 31 Chinese provincial administrative regions during 2013-2019 are measured by using the entropy weight method. Spatial panel regression models are used to analyze the impact of population aging, economic development and digital technology on the HQD of undertakings for the aged.

RESULTS

The comprehensive level of the HQD slightly increased from 0.212 to 2013 to 0.220 in 2019, and the overall level was low. The HQD of the eastern region was the highest (0.292), followed by the western region (0.215), and the central region was the lowest (0.151). The high-high cluster type was mainly distributed in the eastern region; the low-low cluster type was mainly distributed in the western and central regions. Economic development and digital technology have significant positive effects while population aging has significant negative effects on the HQD of undertakings for the aged.

CONCLUSION

There is a significantly spatial differentiation in the HQD of China's undertakings for the aged. In order to promote the HQD of undertakings for the aged, it is necessary to identify development gaps through making HQD evaluation and to focus on the indicators that are critical in maintaining sustainable economic development and to develop digital technology in order to get rid of those gaps.

Developing a Warning Model of Potentially Inappropriate Medications in Older Chinese Outpatients in Tertiary Hospitals: A Machine-Learning Study

Due to multiple comorbid illnesses, polypharmacy, and age-related changes in pharmacokinetics and pharmacodynamics in older adults, the prevalence of potentially inappropriate medications (PIMs) is high, which affects the quality of life of older adults. Building an effective warning model is necessary for the early identification of PIMs to prevent harm caused by medication in geriatric patients. The purpose of this study was to develop a machine learning-based model for the warning of PIMs in older Chinese outpatients. This retrospective study was conducted among geriatric outpatients in nine tertiary hospitals in Chengdu from January 2018 to December 2018. The Beers criteria 2019 were used to assess PIMs in geriatric outpatients. Three problem transformation methods were used to tackle the multilabel classification problem in prescriptions. After the division of patient prescriptions into the training and test sets (8:2), we adopted six widely used classification algorithms to conduct the classification task and assessed the discriminative performance by the accuracy, precision, recall, F1 scores, subset accuracy (ss Acc), and Hamming loss (hm) of each model. The results showed that among 11,741 older patient prescriptions, 5816 PIMs were identified in 4038 (34.39%) patient prescriptions. A total of 41 types of PIMs were identified in these prescriptions. The three-problem transformation methods included label power set (LP), classifier chains (CC), and binary relevance (BR). Six classification algorithms were used to establish the warning models, including Random Forest (RF), Light Gradient Boosting Machine (LightGBM), eXtreme Gradient Boosting (XGBoost), CatBoost, Deep Forest (DF), and TabNet. The CC + CatBoost model had the highest accuracy value (97.83%), recall value (89.34%), F1 value (90.69%), and ss Acc value (97.79%) with a good precision value (92.18%) and the lowest hm value (0.0006). Therefore, the CC + CatBoost model was selected to predict the occurrence of PIM in geriatric Chinese patients. This study’s novelty establishes a warning model for PIMs in geriatric patients by using machine learning. With the popularity of electronic patient record systems, sophisticated computer algorithms can be implemented at the bedside to improve medication use safety in geriatric patients in the future.

Health Status and Individual Care Needs of Disabled Elderly at Home in Different Types of Care

For the disabled, paying attention to their health status is the starting point to discovering their survival problems, while meeting their care needs is the end point to solving their survival problems. As the country with the largest number of disabled elderly in the world, how to ensure this group could obtain appropriate home care is a major public health issue facing China. Thus, we conducted a cross-sectional study from October to December 2020 to explore the basic characteristics and health status of disabled elderly in different types of care who are living at home in 37 streets in Shanghai, as well as the individual care needs and its relevance. We observed the significant differences in the number of diagnoses (p = 0.03), smoking (p = 0.009), drinking (p = 0.016), exercise (p = 0.001), activity of daily living (p < 0.0001), and the quality of life (p < 0.0001) across care types. The care needs of the disabled elderly are diversified, of which a vast majority of them have not been fully guaranteed. The urgent need for improving the identification accuracy of care needs of disabled elderly, as well as the development of elaborate and personalized care programs for them, is needed.

Social participation of community-dwelling older adults in western China: A latent profile analysis

Objective

Social participation has become a policy framework to address population aging. However, little is known about the social participation of older adults in western China, and extensive, multicenter, regional research is lacking. This research investigated the profiles of social participation of older adults in western China and explored the characteristics and factors influencing social participation.

Method

This cross-sectional study was conducted in 3 provinces (Chongqing, Sichuan, and Inner Mongolia) in western China from March 2021 to December 2021 and included 3,456 participants aged 60 years or older. Social participation was assessed using the Chinese version of the Impact on Participation and Autonomy Questionnaire (IPA). Latent profile analysis (LPA) was performed to extract latent classes of social participation among older adults in western China. The chi-square test and multinomial regression analyses were used to identify differences between these classes.

Results

Three social participation classes were identified by LPA: high social participation (25.2%), moderate social participation (55.1%), and low social participation (19.7%). Being older, having a primary school education level, having mobility or speaking impairment, using assistive devices, and having a chronic disease were highly associated with the low social participation class (P < 0.05). Furthermore, older adults with no dependence (OR = 0.018, 95% CI = 0.005-0.062) or mild dependence (OR = 0.039, 95% CI = 0.011-0.139) in activities of daily living (ADLs) were less likely to be in the low social participation class. Older adults who were cared for by non-spouse primary caregivers were more likely to be assigned to the moderate social participation group (OR = 2.097, 95% CI = 1.501-2.930) than to the high social participation group.

Conclusions

Most older adults in western China have a moderate level of social participation. Advanced age, reduced ADL ability, reduced speech ability, reduced mobility, and non-spouse care are related to the level of social participation. Healthcare professionals should pay attention to the predictors for different classes, identifying high-risk groups as early as possible.

Barriers to activity engagement in older adulthood: Results of a community survey

OBJECTIVES

Losses that occur with age can create barriers to meaningful activity engagement, a crucial aspect of ageing well. Research on this topic is frequently qualitative, with few studies accessing large community samples. This study (a) assessed the frequency specific personal and environmental barriers (such as poor health and limited transport access), identified by older adults in previous research, were endorsed; (b) used latent class analysis (LCA) to identify population subgroups based on combinations of these barriers, and (c) examined associations of subgroups with purpose in life and quality of life.

METHODS

Four hundred and thirty-two randomly selected Australian adults aged 65+ years (average age 76.7, 58% female) completed a telephone survey. They were asked whether certain barriers affected engagement and provided data on sense of purpose and quality of life.

RESULTS

Physical health/mobility were the most frequently reported barriers, followed by sensory difficulties, financial limitations, and caring responsibilities. The LCA revealed up to three subgroups/classes of participants according to the barriers endorsed. Class 1 had low endorsement of all barriers, including physical health. The majority of Class 2 endorsed physical health barriers and other barriers more frequently than Class 1. Class 3 were comparable to Class 2, but also frequently endorsed community access barriers. Class 1 were younger and reported a greater sense of purpose and higher quality of life.

CONCLUSIONS

Physical health/mobility barriers to engagement are those most frequently endorsed by older adults. These barriers may increase vulnerability to, or exacerbate the impact of additional barriers, such as sensory difficulties, access to transport and lack of finances.

Prediction of the Old-Age Dependency Ratio in Chinese Cities Using DMSP/OLS Nighttime Light Data

The old-age dependency ratio (ODR) is an important indicator reflecting the degree of a regional population’s aging. In the context of aging, this study provides a timely and effective method for predicting the ODR in Chinese cities. Using the provincial ODR from the Seventh National Population Census and Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) nighttime light data, this study aims to predict and analyze the spatial correlation of the municipal ODR in Chinese cities. First, the prediction model of the ODR was established with curve regression. Second, the spatial structure of the municipal ODR was investigated using the Moran’s I method. The experimental results show the following: (1) the correlation between the sum of the nighttime light and ODR is greater than the mean of nighttime light in the study areas; (2) the Sigmoid model fits better than other regression models using the provincial ODR in the past ten years; and (3) there exists an obvious spatial agglomeration and dependence on the municipal ODR. The findings indicate that it is reasonable to use nighttime light data to predict the municipal ODR in large and medium-sized cities. Our approach can provide support for future regional censuses and spatial simulations.

Thwarted Belongingness Hindered Successful Aging in Chinese Older Adults: Roles of Positive Mental Health and Meaning in Life

Aging of population has brought great challenges to many regions throughout the world. It has been demonstrated that interpersonal relationship is closely related to the experiences of aging for older adults. However, it still remains unknown how and under what conditions thwarted belongingness links to successful aging. This study examined the relationship between thwarted belongingness and successful aging and tested the mediating role of positive mental health and the moderating role of meaning in life. Community-dwelling older adults (n = 339) aged 60-75 years recruited in Chongqing, China completed self-measures of thwarted belongingness, successful aging, meaning in life, and positive mental health. Correlation analyses showed that successful aging was associated with less thwarted belongingness, better positive mental health, and higher levels of meaning in life. Positive mental health was found to totally mediate the negative effect of thwarted belongingness on successful aging. Moderated mediation analyses further revealed that two components of meaning in life (present of meaning and search for meaning) attenuated the indirect effect of thwarted belongingness on successful aging via positive mental health. This study highlights the protective roles of positive mental health and meaning in life and addressed cultural aspects in the process of successful aging among Chinese older adults.

The Sustainable Care Model for an Ageing Population in Vietnam: Evidence from a Systematic Review

Social demographic studies in Vietnam have shown a growing trend of an ageing population. Demographic trends project that one third of the Vietnamese population will be aged 65 years and older by 2050. Vietnam is a country where the majority of the elderly live with their children, with little savings and pension. The purpose of this review was to explore existing literature on models of care for an ageing population and provide evidence to develop a care model that is suitable for the ageing community in Vietnam. A systematic review utilizing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework was carried out. An extensive literature search was performed, with a focus on articles and other materials with relevance to elderly care in Vietnam in terms of socio-economic, demographic, and associated factors based on comprehensive data sources. The review found that there is a lack of evidence of professional practice for caring for the aged in Vietnam. There also is a lack of evidence of government support for the limited community initiatives to support the ageing. There exist no community models of care for the ageing population in Vietnam. From a global perspective, there exist alternative models of care options to support the elderly through various care models, such as living in assisted-care facilities, home care, and other assistance. Inter-professional practice care models and health services were found to be essential for an ageing population. There is limited literature specifically for the care of an ageing population in Vietnam. Most of the available literature on care models for the aged is drawn from developed countries. The review offers insights into the development of care models for the elderly in Vietnam, with the need for inter-professional efforts in practice settings to support the ageing Vietnamese population. The reviewed literature agrees on the developing global challenges due to ageing. Despite the existing literature on care models for the ageing, there is a lack evidence-based care models concerning the current and future needs of elderly care in middle- and lower-income economies like Vietnam. More evidence is required to establish evidence for best care models for the elderly in developing economies.

1D U-NET++: AN EFFECTIVE METHOD FOR BALLISTOCARDIOGRAM J-PEAK DETECTION

Heart rate measurement through Ballistocardiogram (BCG) signal is an efficient method for long-term cardiac activity monitoring in real-time, especially for patients with cardiovascular and cerebrovascular disease. In this study, we propose a one-dimensional (1D) U-net++ to identify the position of J-peak in BCG signals automatically. The proposed 1D U-net++ is based on a 1D convolution neural network through dense skip connection backward transfer data features. The low-level and high-level data features of the BCG signals are combined with the last layer features of 1D U-net++ to shorten the semantic gap when the encoder and decoder feature skip connection. The BCG signals of eight healthy subjects were collected for experimental verification, and the accuracy and precision of J-peak detection reached 99.4% and 99.3%, respectively. The experimental results demonstrate that our proposed method can effectively identify J-peak in BCG signal.