Social Capital as a Predictor of Quality of Life: The Czech Experience

Does adult socioeconomic status mediate the relationship between adolescent socioeconomic status and adult quality of life?

Objective

This study aimed to determine the association between adolescent socioeconomic status (father's education and adolescent subjective socioeconomic status) and adult quality of life and the mediation roles of adult socioeconomic status, social capital and lifestyle (physical activity and exposure to smoke) among the "Tehran University of Medical Sciences Employees Cohort (TEC) Study" participants.

Method

Data of 4455 participants were derived from the Tehran University of Medical Sciences Employees Cohort (TEC) Study. In this study, the World Health Organization quality of life-BREF, the World Bank's Integrated and the International Physical Activity Questionnaire were used. Data were analyzed with structural equation modeling using SPSS Amos 24.0 program.

Results

The mean age of the participants was 42.31 years (SD: 8.37) and most of the subjects were female (60.7%). Correlation analysis results revealed that, quality of life had a significant and positive association with adolescent subjective socioeconomic status (r = 0.169, p < 0.01) and father's education (r = 0.091, p < 0.01). A mediation model testing the direct relationship between adolescent socioeconomic status and adult socioeconomic status and quality of life, showed a positive relationship between adolescent subjective socioeconomic status (β = 0.229, p < 0.001) and father's education (β = 0.443, p < 0.001) with adult socioeconomic status. Adult socioeconomic status was positively related to quality of life (β = 0.205, p < 0.001). Adult socioeconomic status mediated the relationship between adolescent subjective socioeconomic status (β = 0.047, p < 0.01) and father's education (β = 0.091, p < 0.01) with quality of life. While adult socioeconomic status fully mediated the relationship between the father's education and quality of life, it partially mediated the adolescent subjective socioeconomic status-quality of life association. Other variables such as social capital and lifestyle did not have mediator role in a mediation model.

Conclusion

This study provides the evidence for the role of adult socioeconomic status as a partial mediator between adolescent subjective socioeconomic status and quality of life. Therefore, there are several unknown mediators other than adult socioeconomic status that need to be explored in future studies.

Association between social capital and quality of life in older adults with subjective cognitive decline: A cross-sectional study

BACKGROUND

Subjective cognitive decline (SCD) is increasingly recognized as a clinical and medical risk factor for mild cognitive impairment (MCI) and dementia. Currently, there is little evidence regarding the quality of life (QoL) in older adults with SCD and the impact of social capital on their QoL.

AIMS

To examine the perceptions of social capital and QoL among older adults with SCD.

METHODS

A total of 325 participants (92.9 % response rate) with a self-reported diagnosis of SCD completed the Chinese version of the 36-item Short-Form Health Survey, the Chinese Shortened Social Capital Scale and the Generalized Anxiety Disorder Scale. A t-test was used to compare the QoL score of our sample with the Chinese norm. Pearson correlation analysis and multivariate linear regression analysis were used to assess the association of social capital with QoL.

RESULTS

Social capital were strongly correlated with the total QoL, as well as its physical component summary and mental component summary. The QoL score of older adults with SCD was significantly lower than the Chinese norm (P < 0.001). Multivariate analysis showed that social capital, physical activity, nutrition and anxiety symptoms were factors associated with QoL among older SCD population (P < 0.05).

CONCLUSION

The findings of the current study suggest that older adults with SCD may experience lower QoL. Social capital is associated with the QoL in older adults with SCD. These findings have implications for clinicians who work with older adults with SCD.

Comparing the impact of social support on the life satisfaction of widowed and non-widowed elders

Aim

To compare differences in life satisfaction between widowed and non-widowed elders based on social support.

Methods

A total of 4,560 widowed and 3,655 non-widowed elders were selected from the Chinese Longitudinal Healthy Longevity Survey (CLHLS-2018). Ordinal logistic regression models and t-tests were performed using SPSS v20.

Results

Both widowed and non-widowed elders had high levels of life satisfaction. Personal characteristics had a significant impact on the life satisfaction of both widowed and non-widowed elders. Endowment insurance, social trust, residence, self-rated health, and living with family had a significant impact on the life satisfaction of widowed elders (p < 0.001), while endowment insurance, government subsidy, and self-rated health significantly impacted non-widowed elders (p < 0.001). Self-rated health had the greatest impact on the life satisfaction of widowed and non-widowed elders (OR = 4.62/4.45), followed by endowment insurance (OR = 1.24/1.32).

Conclusion

Social support can significantly improve life satisfaction, but its impact is heterogeneous. Informal social support plays a greater role in improving the life satisfaction of widowed elders, but formal social support plays a greater role in the life satisfaction of non-widowed elders.

Urban-Rural Dichotomy of Quality of Life

This paper is focused on the urban-rural dichotomy as one of the dichotomies of quality of life (QOL). The first objective is to find out whether the quality of urban life, or the quality of rural life, is higher in Czechia. The hypothesis assumes that the quality of urban life is higher. The second objective is to identify predictors of QOL and compare values for the residents of cities and villages. In the Theoretical Background section, we discuss cities and urban life, plus villages and rural life. In the QOL section, we explore the quality of urban and rural life in Czechia, and give examples of QOL measurements in Czech municipalities. In the Measurement and Findings section we measure QOL with a subjective indicator on the Cantril scale, and derive findings from these measurements. The correlations between QOL and other variables yield very strong predictors of both urban and rural quality of life. The measurements also yielded two “by products”: The first was the finding that women’s measured values are, except for women’s quality of city life, higher than the measured values of men. The second was the finding that the combination of quality of place and quality of the environment, which we named ‘geographical matter’, was rated higher by the respondents than the combination of QOL and happiness, which we named ‘psychological matter’.