Gender Differences in the Score and Influencing Factors of Social Participation among Chinese Elderly

Sex and gender differences in social participation among community-dwelling older adults: a systematic review

Background

Frequent social participation among older adults is associated with greater health. Although understanding how sex and gender influence social participation is important, particularly in developing sex-inclusive health promotion and preventive interventions, little is known about factors influencing engagement of older women and men in social activities.

Aim

This study thus aimed to examine factors influencing social activities of older women and men.

Methods

A mixed-method systematic review was conducted in nine electronic databases from inception to March 2023. The studies had to define social participation as activities with others and examine its influencing factors among community-dwelling older women and men. Data were analyzed using convergent synthesis design from a socio-ecological perspective.

Results

Forty-nine studies, comprising 42 quantitative, five qualitative and two mixed method design were included. Themes identified concerned: (a) sociodemographic factors, (b) personal assets, (c) interpersonal relationships and commitments, (d) physical environment, and (e) societal norms and gender expectations. The findings identified the heterogeneous needs, preferences and inequalities faced by older women and men, considerations on sociocultural expectations and norms of each gender when engaging in social activities, and the importance of having adequate and accessible social spaces. Overall, this review identified more evidence on factors influencing social participation among women than in men.

Conclusion

Special attention is needed among community care providers and healthcare professionals to co-design, implement or prescribe a combination of sex and gender-specific and neutral activities that interest both older women and men. Intersectoral collaborative actions, including public health advocates, gerontologists, policymakers, and land use planners, are needed to unify efforts to foster social inclusion by creating an age-friendly and sustainable healthy environment. More longitudinal studies are required to better understand social participation trajectories from a sex and gender perspective and identify factors influencing it.

Systematic reviews registration

http://www.crd.york.ac.uk/PROSPERO, identifier [CRD42023392764].

A predictive model for social participation of middle-aged and older adult stroke survivors: the China Health and Retirement Longitudinal Study

Objective

This study aims to develop and validate a prediction model for evaluating the social participation in the community middle-aged and older adult stroke survivors.

Methods

The predictive model is based on data from the China Health and Retirement Longitudinal Study (CHARLS), which focused on individuals aged 45 years or older. The study utilized subjects from the CHARLS 2015 and 2018 wave, eighteen factors including socio-demographic variables, behavioral and health status, mental health parameters, were analyzed in this study. To ensure the reliability of the model, the study cohort was randomly split into a training set (70%) and a validation set (30%). The Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis was used to identify the most effective predictors of the model through a 10-fold cross-validation. The logistic regression model was employed to investigate the factors associated with social participation in stroke patients. A nomogram was constructed to develop a prediction model. Calibration curves were used to assess the accuracy of the nomogram model. The model's performance was evaluated using the area under the curve (AUC) and decision curve analysis (DCA).

Result

A total of 1,239 subjects with stroke from the CHARLS database collected in 2013 and 2015 wave were eligible in the final analysis. Out of these, 539 (43.5%) subjects had social participation. The model considered nineteen factors, the LASSO regression selected eleven factors, including age, gender, residence type, education level, pension, insurance, financial dependence, physical function (PF), self-reported healthy,cognition and satisfaction in the prediction model. These factors were used to construct the nomogram model, which showed a certain extent good concordance and accuracy. The AUC values of training and internal validation sets were 0.669 (95%CI 0.631-0.707) and 0.635 (95% CI 0.573-0.698), respectively. Hosmer-Lemeshow test values were p = 0.588 and p = 0.563. Calibration curves showed agreement between the nomogram model and actual observations. ROC and DCA indicated that the nomogram had predictive performance.

Conclusion

The nomogram constructed in this study can be used to evaluate the probability of social participation in middle-aged individuals and identify those who may have low social participation after experiencing a stroke.

Social participation in older people with hearing impairment in Chinese community: A latent profile analysis

OBJECTIVES

Hearing impairment may lead to increased communication difficulties for older people, making their social participation less optimistic. However, there is little research on the social participation of older people with hearing impairment, especially based on the characteristics of their social participation. This study aimed to identify different social participation profiles in older people with hearing impairment and to explore sociodemographic characteristics, disease-related characteristics and psychosocial factors with different social participation profiles.

METHODS

A cross-sectional study of 300 older people with hearing impairment using the sociodemographic questionnaire, the Impact on Participation and Autonomy Questionnaire, the Lubben Social Network Scale-6, Medical Outcomes Study Social Support Survey and Geriatric Depression Scale-15 from May to August 2023 in a community of Beijing, China. Latent profile analysis was used to analyse the latent profiles of social participation in elderly with hearing impairment. Multiple logistic regression was used to explore the predictors of different profiles.

RESULTS

The social participation of older people with hearing impairment in the community can be classified into three potential profiles: Profile 1 - high social participation group (76.05 %), Profile 2 - moderate social participation group (17.34 %), Profile 3 - low social participation group (6.61 %). Age, types of chronic diseases, self-reported health, severity of hearing impairment, social network, social support and depression were predictors of different profiles.

CONCLUSIONS

Nurses should pay attention to the characteristics, depression, social network and support of older people with different hearing impairment to improve social participation in different profiles.

IMPLICATIONS AND RECOMMENDATIONS

This was the first study exploring latent profiles of social participation in older people with hearing impairment. Insights from this study are useful for gerontological nursing to distinguish different profiles and further identify the characteristics of different profiles in older people with hearing impairment by characterizing the level of social participation in the community and better implement interventions according to profiles.

Decomposing the change in the cognitive function gap between older men and women over time in China: The Chinese Longitudinal Healthy Longevity Survey

Background

This study explored how modifiable social determinants of cognitive function can influence these gender gaps.

Methods

We utilized six waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS), including 56,127 individuals aged 65+. The Kitagawa-Oaxaca-Blinder decomposition approach was used for the analysis.

Results

Older women consistently had lower average levels of cognitive function than men in each period, but the gap is narrowing. From 2002 to 2018, the gender gap in cognitive function decreased by 1.45 (95% confidence interval (CI) = -1.843, -1.097) points. The coefficients for the endowment effects decreased from 0.387 (95% CI = -0.563, -0.211) to 1.789 (95% CI = -2.471, -1.107) from 2005 to 2018. Lifestyle changes, social participation, and physical health factors significantly contributed to explaining the changes in gender gaps in cognitive function.

Conclusions

Among these contributing factors, lifestyle, social participation, and physical health have emerged as pivotal elements in reducing the gender gap in cognitive function. Targeted interventions for these variables are essential among older women to narrow the cognitive gender gaps effectively.

Gender-Related Differences in Social Participation Among Japanese Elderly Individuals During the COVID-19 Pandemic: A Cross-Sectional Survey

Introduction/Objectives:

The health of elderly individuals is known to benefit from maintaining societal involvement and relationships with other people, such as through social participation. We aimed to determine trends in the percentage of Japanese elderly people who engaged in social participation before and during the coronavirus disease 2019 (COVID-19) pandemic in one municipality in Japan, and compared differences in this status by gender.

Methods:

We conducted a cross-sectional questionnaire survey. Questionnaires were sent by mail to 3000 people aged 65 to 85 years who were randomly selected by the administrative staff of the city. Participant characteristics (age, gender, working status, residential status) and their economic status, daily physical activity, and social participation status were obtained at 3 time points: (1) before the COVID-19 pandemic in January 2020; (2) immediately prior to the declaration of a state of emergency in April 2020; and (3) in January 2021, 1 year after (1).

Results:

A total of 1301 people responded to the survey. The mean age was 73.3 (SD 5.5) years, and 690 (53.0%) were women. There were significant gender differences in terms of living alone, employment status, and amount of physical activity. The number of people reporting social participation gradually decreased from 543 respondents (41.7%) at (1) to 319 (24.5%) at (2) and 251 (19.3%) at (3). Women were more likely to demonstrate reduced social participation.

Conclusions:

Elderly individuals, particularly women, reported decreased social participation during the pandemic.