The relationship between social capital components and control of type 2 diabetes

A path analysis model

Yousef Moradi, Mahshid Nasehi, Mohsen Asadi-Lari, Mohamad Ebrahim Khamseh, Hamid Reza Baradaran*

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Background: Social capital is an important interpersonal organizational resource that may affect health behaviors and seems to be an important factor in chronic diseases. Considering the lack of evidence on this topic, in the present study, we aimed at investigating the association between components of social capital, socioeconomic condition, and controlling Type 2 diabetes mellitus in Iran. Methods: This study was conducted on 300 patients with Type 2 diabetes in Tehran, Iran. In this study, simple random sampling method was used for data collection. Path analysis model was used to examine the potential association between social capital components and to determine the factors that control Type 2 diabetes. Results: In the present study, most of the participants were female (70.7%) and married (78.7%). Path coefficients were calculated by a series of multiple regression analyses based on the conceptual model. The final model had a proper fit with Chi-square = 2.08 (DF = 1, P = 0.049), GFI = 0.542, AGFI = 0.915, NFI = 0.228, RFI = 0.284, IFI = 0.299, TLI = 0.292, CFI = 0.219, and RMSEA = 0.033. The Groups and networks (network) (ß = 0.051, p = 0.036) and trust and solidarity (ß = -0.018, p = 0.028) had a direct positive and negative effect on HbA1C, respectively. The results also revealed that education levels had a direct positive effect on groups and networks (network) (ß = 0.118, p = 0.036), trust and solidarity (ß = 0.082, p = 0.007), information and communication (ß = 0.037, p = 0.027), and contribution in team works and public activities (ß = 0.064, p = 0.003). In addition, education levels had an indirect positive effect on HbA1C through their effect on groups and networks (network), trust and solidarity, and information and communication. Conclusion: Social capital has a significant relationship with diabetes. Although it was not specified clearly which components of social capital were associated with diabetes, trust and solidarity showed a negative direct effect on HbA1C, respectively. Therefore, developing and implementing local and collective programs to build trust and increase the standards of social trust in patients with diabetes can be effective in controlling HbA1C.

Original languageEnglish
Article number21
Pages (from-to)119-123
Number of pages5
JournalMedical Journal of the Islamic Republic of Iran
Volume31
Issue number1
DOIs
Publication statusPublished - 1 Jan 2017

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Type 2 Diabetes Mellitus
Iran
Communication
Education
Health Behavior
Social Capital
Chronic Disease
Regression Analysis

Keywords

  • Blood glucose
  • Diabetes
  • Iran
  • Social capital

ASJC Scopus subject areas

  • Medicine(all)

Cite this

The relationship between social capital components and control of type 2 diabetes : A path analysis model. / Moradi, Yousef; Nasehi, Mahshid; Asadi-Lari, Mohsen; Khamseh, Mohamad Ebrahim; Baradaran, Hamid Reza.

In: Medical Journal of the Islamic Republic of Iran, Vol. 31, No. 1, 21, 01.01.2017, p. 119-123.

Research output: Contribution to journalArticle

Moradi, Yousef ; Nasehi, Mahshid ; Asadi-Lari, Mohsen ; Khamseh, Mohamad Ebrahim ; Baradaran, Hamid Reza. / The relationship between social capital components and control of type 2 diabetes : A path analysis model. In: Medical Journal of the Islamic Republic of Iran. 2017 ; Vol. 31, No. 1. pp. 119-123.
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N2 - Background: Social capital is an important interpersonal organizational resource that may affect health behaviors and seems to be an important factor in chronic diseases. Considering the lack of evidence on this topic, in the present study, we aimed at investigating the association between components of social capital, socioeconomic condition, and controlling Type 2 diabetes mellitus in Iran. Methods: This study was conducted on 300 patients with Type 2 diabetes in Tehran, Iran. In this study, simple random sampling method was used for data collection. Path analysis model was used to examine the potential association between social capital components and to determine the factors that control Type 2 diabetes. Results: In the present study, most of the participants were female (70.7%) and married (78.7%). Path coefficients were calculated by a series of multiple regression analyses based on the conceptual model. The final model had a proper fit with Chi-square = 2.08 (DF = 1, P = 0.049), GFI = 0.542, AGFI = 0.915, NFI = 0.228, RFI = 0.284, IFI = 0.299, TLI = 0.292, CFI = 0.219, and RMSEA = 0.033. The Groups and networks (network) (ß = 0.051, p = 0.036) and trust and solidarity (ß = -0.018, p = 0.028) had a direct positive and negative effect on HbA1C, respectively. The results also revealed that education levels had a direct positive effect on groups and networks (network) (ß = 0.118, p = 0.036), trust and solidarity (ß = 0.082, p = 0.007), information and communication (ß = 0.037, p = 0.027), and contribution in team works and public activities (ß = 0.064, p = 0.003). In addition, education levels had an indirect positive effect on HbA1C through their effect on groups and networks (network), trust and solidarity, and information and communication. Conclusion: Social capital has a significant relationship with diabetes. Although it was not specified clearly which components of social capital were associated with diabetes, trust and solidarity showed a negative direct effect on HbA1C, respectively. Therefore, developing and implementing local and collective programs to build trust and increase the standards of social trust in patients with diabetes can be effective in controlling HbA1C.

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