Trust and quality of life: A cross-sectional study of young women

Salehi, Asiyeh; Harris, Neil; Coyne, Elisabeth; Sebar, Bernadette

doi:10.1177/0020764014560595

Cited by 18 publications

(21 citation statements)

References 32 publications

(42 reference statements)

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“…The correlations between residents' characteristics and well‐being outcomes have been reported in another paper (Salehi et al . ). Correlations of living environment variables with variables for lifestyle behaviours and well‐being are presented in Table .…”

Section: Resultsmentioning

confidence: 97%

The relationship between living environment, well-being and lifestyle behaviours in young women in Shiraz, Iran

Salehi

Harris

Sebar

et al. 2015

Health Soc Care Community

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There has been increasing interest in understanding the influence of the living environment on individual and population health. While our understanding of the connection is growing, there has been limited published research focusing on socially and economically transitioning countries such as Iran or specific populations such as young women. This study explores the relationship between the physical and social living environment with well-being outcomes and lifestyle behaviours of young women in Shiraz, Iran, in 2013. Using a cluster convenience sampling technique, 391 young Iranian women with the mean age of 27.3 (SD: 4.8) participated in a cross-sectional survey (response rate 93%). A scale adapted from the British General Household Social Capital scale was used to assess living environment characteristics. The International Health and Behaviour survey, Satisfaction with Life Scale (SwL) and WHO Quality of Life questionnaire (WHOQOL-BREF) were used to measure lifestyle behaviours and well-being. The findings showed a moderate level of satisfaction with participants' living environment, with a mean score of 38.5 (SD: 7.7; score range: 11-45). There were correlations between physical and social neighbourhood environment, lifestyle behaviours and well-being outcomes (P < 0.05). Multiple regression analysis showed that the characteristics of living environments were determinants of quality of life (QoL), including physical, psychological, social and environmental QoL, as well as SwL (P < 0.05). Perceptions of individuals about their living environment issues were associated with demographic variables including ethnicity, income, level of education and occupation status. The current study shows how characteristics of the physical and social living environments play a significant role in shaping well-being and lifestyle behaviours among young Iranian women. Hence, there is a need for more focused attention to the meaning, measurement and building of neighbourhood livability, including both physical and social aspects of neighbourhood, in order to support QoL and SwL among young Iranian women, and enhance their healthy lifestyle behaviours.

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Section: Resultsmentioning

confidence: 97%

The relationship between living environment, well-being and lifestyle behaviours in young women in Shiraz, Iran

Salehi

Harris

Sebar

et al. 2015

Health Soc Care Community

Self Cite

View full text Add to dashboard Cite

show abstract

“…Previous studies showed that social capital was positively associated with quality of life in the elderly [ 39 – 41 ], adults [ 42 ], long-term social assistance [ 43 ], patients with fibromyalgia [ 44 ], multiple sclerosis patients [ 45 ], women [ 46 , 47 ], and AIDS patients [ 33 ]. In this cross-sectional study, we found some consistent evidence to support the hypothesis that higher cognitive social capital was associated with higher PCS and MCS, the two domains of quality of life, after adjustment for SES and risk factors.…”

Section: Discussionmentioning

confidence: 99%

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

Niu

Ren

et al. 2015

BMC Public Health

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BackgroundTo investigate the association between social capital and quality of life among type 2 diabetes patients in Anhui province, China.MethodsIn a cross-sectional study, 436 adults with type 2 diabetes were interviewed. The two domains of Quality of life, physical component summary (PCS) and mental component summary (MCS), were measured using the Short-Form Health Survey (SF-36). A modified instrument scale was used to measure cognitive and structural social capital. Multiple logistic regression models were used to assess the associations between social capital and quality of life, adjusting for social economic status and risk factors for health.Results24.3 % of participants (106) were in poor PCS and 25.0 % (109) in poor MCS. The proportions of participants who had low cognitive and structural social capital were 47.0 % (205) and 64.4 % (281), respectively. Results of logistic regression models showed that cognitive social capital was positively associated with PCS (OR = 1.84; 95 % CI: 1.12, 3.02) and MCS (OR = 1.65; 95 % CI: 1.03, 2.66). However, the associations between structural social capital and PCS (OR = 0.80, 95 % CI: 0.48, 1.34) and MCS (OR = 0.62; 95 % CI: 0.38, 1.01) were not statistically significant.ConclusionsIt is the first study in China to investigate associations between quality of life and social capital in type 2 diabetes. Findings document that cognitive social capital is associated with the quality of life of type 2 diabetes patients. Our study suggests that the social capital theory may provide a new approach to increase physical resources in diabetes prevention and control, especially in Low and Middle Income countries (LMICs).Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-015-2138-y) contains supplementary material, which is available to authorized users.

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“…In the context of healthcare decision, formation of trust is undoubtedly a strong influential factor for QHL. However, the causal association between trust and well-being outcomes has yet to be examined comprehensively (Salehi et al 2015). However, a positive association of QHL is found with higher education, having affluence and sturdy social capital components including trust solidarity (Himanshu, Arokiasamy, and Talukdar 2019).…”

Section: Theoretical Framework and Hypothesis Developmentmentioning

confidence: 99%

Do mobile health (mHealth) services ensure the quality of health life? An integrated approach from a developing country context

Alam

Uddin

et al. 2020

Journal of Marketing Communications

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Trust and quality of life: A cross-sectional study of young women

Abstract: Policies are needed to improve participation and reciprocity at the level of individuals and informal social groups, including local to broader communities in order to increase the sense of community belonging, improving trust and consequently quality of life.

Cited by 18 publications

References 32 publications

The relationship between living environment, well-being and lifestyle behaviours in young women in Shiraz, Iran

The relationship between living environment, well-being and lifestyle behaviours in young women in Shiraz, Iran

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

Do mobile health (mHealth) services ensure the quality of health life? An integrated approach from a developing country context

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