Association between dependency on community resources and social support among elderly people living in rural areas in China: a cross-sectional study

Spatio-temporal evolution and driving factors of the coupling and coordinated development of China's digital economy and older adult care services

Background

This study aims to examine the level of coupled and coordinated development between China's digital economy and older adult care services, analyzing their spatiotemporal evolution characteristics and key influencing factors, with the goal of providing feasible recommendations and scientific bases for the development of the digital economy and older adult care services in China.

Methods

This study uses publicly available panel data from China for the years 2015-2022. It employs the entropy method to measure the weights of various indicators in the digital economy and older adult care services. The study analyzes the level of coordinated development between the two using the coupling coordination degree model, and measures the main driving factors using the geographical detector model.

Results

(1) The overall level of coupling and coordinated development between China's digital economy and older adult care services shows an upward trend, but the growth rate is uneven, exhibiting an "M-shaped" pattern, with rapid growth followed by gradual slowdown, a bottoming-out rebound, and then a continuous decline. (2) There are significant spatial differences in the coupling and coordinated development of China's digital economy and older adult care services. Coastal areas are developing rapidly, inland areas have great potential, while peripheral areas are relatively lagging behind. Additionally, neighboring regions show regional linkage dynamics. (3) The main factors driving the coupling and coordinated development of China's digital economy and older adult care services include enterprise website ownership, technological contract turnover, the proportion of information technology service income, the building area of older adult care institutions, daily in-house visits, and the number of professional technical personnel.

Conclusion

To achieve coordinated development between the digital economy and older adult care services, efforts should focus on policy, market, technology, and talent. The government should support technological innovation and new service models, while tailoring strategies to regional market demands. Additionally, accelerating the industrialization of innovations and promoting intelligent upgrades in older adult care services are crucial. Finally, more investment is needed to cultivate composite talents in both the government and older adult care institutions.

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.

Assessing the mediating role of family resilience between caregiver burden and caregiver capacity: a cross-sectional study among Chinese stroke survivors and family caregivers in a real-world setting

OBJECTIVES

To investigate the relationships among caregiver burden, family resilience, and caregiver capacity in the care of stroke survivors. We hypothesised that family resilience would mediate the relationship between caregiver burden and caregiver capacity.

DESIGN

A cross-sectional study design was used.

SETTING

The study was conducted in a tertiary care setting in Ningbo City, Zhejiang Province, China.

PARTICIPANTS

The study involved 413 stroke survivors and their primary caregivers.

OUTCOME MEASURES

The primary caregivers completed the Shortened Chinese Version of the Family Resilience Assessment Scale, Zarit Caregiver Burden Interview and Family Caregiver Task Inventor and provided their sociodemographic information. Stroke survivors were assessed for activities of daily living, and their sociodemographic information was provided. Data were analysed, controlling for sociodemographic variables and focusing on the mediating effect of family resilience.

RESULTS

Caregiver burden was influenced by the activities of daily living of stroke survivors, caregiver age and caregiver health status (p<0.05). Higher caregiver burden was associated with lower family resilience (p<0.01). Lower caregiver capacity corresponded to heavier caregiver burden (p<0.01). Family resilience mediated the relationship between caregiver burden and caregiver capacity (b=0.1568; 95% CI: 0.1063 to 0.2385).

CONCLUSIONS

Enhancing family resilience can reduce caregiver burden and improve caregiver capacity in stroke care. These findings underscore the importance of developing interventions focused on nursing skills and family resilience.

A cross-sectional study on the moderating effect of self-efficacy on the relationship between sociodemographic variables and nutrition literacy among older adults in rural areas of North Sichuan

Objective

The purpose of this study is to examine the moderating role of self-efficacy among rural elderly individuals in northern Sichuan Province in the relationship between certain sociodemographic variables and nutritional literacy.

Methods

Convenience sampling was used to select 264 elderly individuals aged 60 and above from rural communities in Cangxi County, Guangyuan City, Yilong County, Nanchong City, and Bazhou District, Bazhong City, Sichuan Province. A self-designed questionnaire, including sociodemographic variables, the General Self-Efficacy Scale (GSES), and the Nutrition Literacy Questionnaire for the Elderly (NLQ-E), was administered through face-to-face interviews using a paper-based version. The relationships between sociodemographic variables, self-efficacy, and nutritional literacy in the elderly were analyzed using SPSS 26.0 and the Process plugin to examine the relationships between variables and to test for moderation effects.

Results

(1) There were significant differences in nutrition literacy scores among elderly people of different ages, genders, marital statuses, educational levels, personal monthly living expenses, dental conditions, and number of chronic diseases (p < 0.05). (2) When elderly individuals have lower self-efficacy, their nutritional literacy is lower as they become older, and they have poorer nutritional literacy with a higher number of chronic diseases.

Conclusion

General population demographic data has a significant impact on the nutritional literacy level of elderly people in rural areas of northern Sichuan. Self-efficacy plays a moderating role in the relationship between age and nutritional literacy, as well as the relationship between the number of chronic diseases and nutritional literacy.

Factors Associated with the Delay in Seeing a Doctor: Evidence of Chinese Middle-Aged and Older Adults

Background

There have been few studies concerning delayed medical attention among middle-aged and older adults, and in-depth analyses of delay duration and symptoms have been lacking.

Methods

In this cross-sectional study exploiting a face-to-face questionnaire survey, we investigated delays in seeing a doctor among ≥ 45-year-old people in Zhejiang, China over the past year, and analyzed relevant influencing factors through logistics regression.

Results

A total of 1034 people aged ≥45 years were enrolled, whose overall occurrence of delay in seeing a doctor was 28.24% (23.00% for older adults aged ≥60 years). Factors like the presence of 2 chronic diseases, intense social loneliness, and more health care needs contributed to the occurrence of delay in seeing a doctor (OR (95% CI) = 2.102 (1.252-3.529); OR (95% CI) = 1.030 (1.002-1.059); OR (95% CI) = 1.049 (1.002-1.099). Contrastively, factors like convenient access to medical care and good self-reported health status inhibited such occurrence OR (95% CI) = 0.321 (0.199-0.519); OR (95% CI) = 0.369 (0.183-0.745). The foremost reason was wanting to wait and see if the problem would get better on its own (117, 40.07%). Respiratory system disease (14.90%), dental problems (13.82%), and cardiac disease (13.61%) constituted the top 3 types of diseases whose treatments were delayed. Additionally, for the majority of older adults, the delay duration was 1-2 weeks (99, 33.90%), and the economic burden was the cause of the longest delay in seeing a doctor among middle-aged and older adults.

Conclusion

To alleviate the problem of delay in seeing a doctor among middle-aged and older adults, their families and society should enhance care for them and reduce their sense of social loneliness. Emphasis should be placed by the government on helping middle-aged and older adults with financial difficulties so that their medical convenience can be improved.

Post-traumatic growth in adult patients with systemic lupus erythematosus: a cross-sectional study in China

This cross-sectional study aims to evaluate the post-traumatic growth (PTG) level and explores its predictors among adult patients with SLE in China. From April 2020 to April 2021, 135 hospitalized adult SLE patients completed the questionnaire including sociodemographic and disease-related data, Post-traumatic Growth Inventory (PTGI), Medical Coping Modes Questionnaire (MCMQ), Social Support Rating Scale (SSRS), Pittsburgh Sleep Quality Index (PSQI), Hospital Anxiety and Depression Scale (HADS), and Self-Perceived Burden Scale (SPBS). Descriptive analysis, pearson's correlation analysis, and forward multiple line regression analysis were used for analysis by SPSS 22.0. Results showed that, the mean PTGI score was 57.52 ± 20.82. Pearson correlation analysis showed that, complicated autoimmune hemolytic anemia (r = - 0.185), CD4 +/CD8 + (r = - 0.383), acceptance-resignation (r = - 0.185), poor PSQI (r = - 0.215), and depression (r = - 0.322) were negatively associated with total PTGI score; while the relationship with lupus nephritis (r = 0.247), confrontation (r = 0.313), avoidance (r = 0.379), and SSRS (r = 0.242) were positive (all P < 0.05). The total score of PTGI and its five sub-dimensions were not correlated with anxiety and self-perceived burden. Further, CD4 +/CD8 +, confrontation of MCMQ, and SSRS could explain 30.3% of the variance in total PTGI (F = 6.646, P < 0.01). In summary, Chinese adults with SLE experience moderate levels of PTG. Clinical nurses need pay attention to the current disease status and individual characteristics of patients, as well as their mental health, to promote their growth experience, so that they can cope with the future life in a better state and coexist well with SLE.