The association between social capital and quality of life among type 2 diabetes patients in Anhui province, China: a cross-sectional study

Hu, Fuyong; Niu, Li; Ren, Chao; Ma, Ying; Xia, Qing; Zhi, Hu

doi:10.1186/s12889-015-2138-y

Cited by 45 publications

(52 citation statements)

References 43 publications

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“…In our 18 selected studies, there were 7 articles [ 2 , 11 , 14 – 18 ] reached the included criteria, but due to some reasons, their results could not be pooled by the method of meta-analysis, but they could be included into the systematic review. The reasons were as follows: One article [ 14 ] used a special scale (DMQLS, patients with Type 2 diabetes mellitus quality of life scale) to evaluate the QOL, which was different from all the other 17 studies.…”

Section: Resultsmentioning

confidence: 99%

Related factors of quality of life of type 2 diabetes patients: a systematic review and meta-analysis

Jing

Chen

Dong

et al. 2018

Health Qual Life Outcomes

233

175

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BackgroundDiabetes is a chronic disease, and it could affect both health and quality of life (QOL). A lot of studies have reported some predictors of QOL of type 2 diabetes patients. While their results were not completely consistent. So the aim of our study was finding out the related factors (including characteristics related to the disease, life styles and mental health factors) of QOL of type 2 diabetes patients.MethodsWe searched Cochrane library, EmBase, PubMed and CNKI databases for published studies that evaluated the related factors of QOL of type 2 diabetes patients by using a proper statistic method and had effect sizes (OR or β) and 95% confidence intervals from January 1st 2000 to May 31st 2016. Any study types were acceptable, and we excluded the reviews, letters, editorials and pooled analyses. The data were analyzed using STATA software (Version 12.0; Stata Corporation). Effect sizes and 95% confidence intervals were calculated to evaluate the relationship between these factors and QOL.ResultsEighteen studies were included into our systematic review and meta-analysis, totaling 57,109 type 2 diabetes patients. Do more physical exercises (The pooled ORs ranged from 0.635 to 0.825 for different scales, less than 1.00), glucose check more frequently [pooled OR (95%CI): 0.175 (0.041, 0.756)] were associated with a better QOL. Presence of complications (The pooled ORs ranged from 1.462 to 3.038 for different scales, more than 1.00), presence of hypertension [pooled OR (95%CI): 1.389 (1.173, 1644)], longer duration of diabetes [pooled OR (95%CI): 1.865 (1.088, 3.197)], diet with more red meat [pooled OR (95%CI): 2.085 (1.063, 4.089)] and depression (The pooled ORs ranged from 3.003 to 11.473 for different scales, higher than 1.00) were associated with a worse QOL.ConclusionThe results of this study show that physical exercise, glucose check frequently, complications, hypertension, duration of diabetes, diet with more red meat, and depression were associated with the QOL of type 2 diabetes patients.

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Section: Resultsmentioning

confidence: 99%

Related factors of quality of life of type 2 diabetes patients: a systematic review and meta-analysis

Jing

Chen

Dong

et al. 2018

Health Qual Life Outcomes

233

175

View full text Add to dashboard Cite

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“…Based on the World Bank's Social Capital Assessment Tool and previous works, social capital (including six dimensions, such as social participation, social support, social connection, trust, cohesion, and reciprocity) was included in the present study. We selected 22 commonly used and easily understood items to measure social capital and adapted them to the Chinese context [28,29].…”

Section: Measurement Of Social Capitalmentioning

confidence: 99%

Relationship between Individual Social Capital and Functional Ability among Older People in Anhui Province, China

Bai

Wang

Shao

et al. 2020

IJERPH

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This study aimed to explore the relationship between individual social capital and functional ability, with a focus on whether there is an interactive relationship that exists among social capital related to functional ability among older people in Anhui province, China. We conducted a cross-sectional study with a multi-stage stratified cluster random sampling method from July to September 2017. Data were collected through questionnaire including demographic characteristics, individual social capital status, and functional capability status. Binary logistic regression analysis model and classification and regression tree model (CART) were utilized. Overall, this study included 1810 elderly people, 43% of whom had functional disability. After the adjustment, subjects with lower social participation (AOR = 1.60; 95% CI: 1.26–2.03) and lower social connection (AOR = 1.74; 95% CI: 1.34–2.25) had an increased risk of functional disability. However, social support (AOR = 0.73; 95% CI: 0.57–0.94) was inversely related to functional ability. We also observed interactive relationship of social capital associated with functional ability, which indicated that special attention and efforts should be paid to older adults with less educational attainment, with multimorbidity, with advanced age, and with lower level of social participation, cohesion for the purpose of maintaining sound functional ability. Our findings may be of salient relevance for devising more targeted and effective interventions to prevent the onset of functional limitations among community-dwelling older adults.

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“…Speci cally, older people who had less social participation, social connection, and reciprocity were more likely to experience loneliness, which was echoed by ndings from previous studies [11,27,44,45]. In this study, social capital consisted of six dimensions [33,36]. For instance, social participation measures how often the elderly people participate in the formal/informal groups, voluntary activities, and services in the community/village.…”

Section: Discussionmentioning

confidence: 59%

Association between social capital and loneliness among older adults: A cross-sectional study in Anhui Province, China

Bai

Wang

Shao

et al. 2020

Preprint

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Background Although the relationship between social capital and loneliness in later life has been widely researched in western countries, this evidence is largely lacking in China. We aimed to examine the association between social capital and experienced loneliness in Anhui Province, China. Methods Data were collected from a cross-sectional study using a multi-stage stratified cluster sampling strategy. Data on demographic characteristics, socioeconomic factors, social capital, and loneliness in 1810 older adults (aged 60 years and older) were used for analysis. Binary logistic regression models and a classification and regression tree model were performed. Results Our results indicated that social capital in terms of social participation (AOR = 1.38; 95% CI: 1.10–1.74), social connection (AOR = 1.51; 95% CI: 1.18–1.93), and reciprocity (AOR = 1.47; 95% CI: 1.13–1.90) were associated with loneliness. We noted the interactive effect of different social capital dimensions on loneliness, suggesting that the risk for suffering loneliness was greatest in older people limited in functional ability, with less trust, less social connection, and less social participation. Conclusions Our findings show that social capital is associated with loneliness in older adults. This implies that social capital, especially in terms of trust, social connection, and social participation may be significant for alleviating loneliness among older adults.

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The association between social capital and quality of life among type 2 diabetes patients in Anhui province, China: a cross-sectional study

Cited by 45 publications

References 43 publications

Related factors of quality of life of type 2 diabetes patients: a systematic review and meta-analysis

Related factors of quality of life of type 2 diabetes patients: a systematic review and meta-analysis

Relationship between Individual Social Capital and Functional Ability among Older People in Anhui Province, China

Association between social capital and loneliness among older adults: A cross-sectional study in Anhui Province, China

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