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Medical Journal of Islamic Republic of Iran، جلد ۳۰، شماره ۱، صفحات ۸۱۸-۸۲۶

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عنوان انگلیسی Identifying associated factors with social capital using path analysis: A population-based survey in Tehran, Iran (Urban HEART-2)
چکیده انگلیسی مقاله Background: Social capital has been defined as norms, networks, and social links that facilitate collective actions. Social capital is related to a number of main social and public health variables. Therefore, the present study aimed to determine the factors associated with social capital among the residents of Tehran, Iran. Methods: In this large cross-sectional population-based study, 31531 residents aged 20 years and above were selected through multi-stage sampling method from 22 districts of Tehran in 2011. The social capital questionnaire, 28-item General Health Questionnaire (GHQ-28), and Short-Form Health Survey (SF-12) were used. Hypothetical causal models were designed to identify the pathways through which different variables influenced the components of social capital. Then, path analysis was conducted for identifying the determinants of social capital. Results: The most influential variables in 'individual trust' were job status (β=0.37, p=0.02), marital status (β=0.32, p=0.01), Physical Component Summary (PCS) (β=0.37, p=0.02), and age (β=0.34, p=0.03). On the other hand, education level (β=0.34, p=0.01), age (β=0.33, p=0.02), marital status (β=0.33, p=0.01), and job status (β=0.32, p=0.01) were effective in 'cohesion and social support'. Additionally, age (β=0.18, p=0.02), PCS (β=0.36, p=0.01), house ownership (β=0.23, p=0.03), and mental health (β=0.26, p=0.01) were influential in 'social trust/collective relations'. Conclusion: Social capital can be improved in communities by planning to improve education and occupation status, paying more attention to strengthening family bonds, and provision of local facilities and neighborhood bonds to reduce migration within the city. 
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نویسندگان مقاله محسن اسدی لاری | mohsen asadi lari
department of epidemiology, school of public health, iran university of medical sciences, tehran, iran.

سازمان اصلی تایید شده: دانشگاه علوم پزشکی ایران (Iran university of medical sciences)

جعفر حسن زاده | jafar hassanzadeh
research center for health sciences, department of epidemiology, school of health, shiraz university of medical sciences, shiraz, iran.

سازمان اصلی تایید شده: دانشگاه علوم پزشکی شیراز (Shiraz university of medical sciences)
سازمان های دیگر: مرکز تحقیقات علوم بهداشتی

منصور ترابی نیا | mansour torabinia
school of medicine, dezful university of medical sciences, dezful, iran.

سازمان اصلی تایید شده: دانشگاه علوم پزشکی دزفول (Dezful university of medical sciences)

محمدرضا واعظ مهدوی | mohammad reza vaez mahdavi
department of physiology, shahed university, tehran, iran.

سازمان اصلی تایید شده: دانشگاه شاهد (Shahed university)

علی منتظری | ali montazeri
mental health research group, health metrics research center, iranian institute for health sciences research, acecr, tehran, iran.

سازمان های دیگر: Health Metrics Research Center

هاله قایم | haleh ghaem
research center for health sciences, department of epidemiology, school of health, shiraz university of medical sciences, shiraz, iran

سازمان اصلی تایید شده: دانشگاه علوم پزشکی شیراز (Shiraz university of medical sciences)
سازمان های دیگر: مرکز تحقیقات علوم بهداشتی

رستم منتی | rostam menati
prevention of psychosocial injuries research center, ilam university of medical sciences, ilam, iran.

سازمان اصلی تایید شده: دانشگاه علوم پزشکی ایلام (Ilam university of medical sciences)
سازمان های دیگر: Prevention of Psychosocial Injuries Research Cente

محسن نیازی | mohsen niazi
department of sociology, faculty of social sciences, university of kashan, kashan, iran.

سازمان اصلی تایید شده: دانشگاه کاشان (Kashan university)

عزیز کسانی | aziz kassani
school of medicine, dezful university of medical sciences, dezful, iran.

سازمان اصلی تایید شده: دانشگاه علوم پزشکی دزفول (Dezful university of medical sciences)


نشانی اینترنتی http://mjiri.iums.ac.ir/browse.php?a_code=A-10-1-1047&slc_lang=en&sid=en
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