Journal of School of Public Health and

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Background and Aim: Social capital composed of networks, norms and values, which facilitates cooperation within and between groups to achieve mutual benefits and common goals. Social capital increases the benefits of investing in physical and human capital. In a society that favors more social capital, collaboration is easier. This study investigates the validity and reliability of a social capital tool, which had been administered through a large population-based survey using factor analysis.
Materials and Methods: Data were obtained from Urban Health Equity Assessment and Response Tool (Urban HEART-1) survey in Tehran. Factor analysis is a method of discovering structural position of variables to reduce them into a limited number of components which are more fundamental. The reliability of the questionnaire and main components of the tool were investigated through factor analysis.
Results: According to factor analysis, three main components of social capital including, individual trust, cohesion/ social support and social trust/associative relations, were recognized. These three components explained 66.14% of total variance of the social capital tool. Also, overall Cronbach's alpha coefficient was 0.88 which indicates high reliability of the questionnaire.
Conclusion: Social capital tool, which was administered in Urban HEART project, covers the main components of social capital framework with high reliability and validity, which is suitable to be used in other population-based surveys.

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  Background and Aim : identifying the risk factors for metastasis is major concern for treatment processes of cancer patients. Metastasis makes patients frail and increase hazard of death. It also decreases physical and psychological quality of life of patients. Aim of this study is determining of prognostic factors for metastasis of breast cancer using conditional regression model.

  Materials and Methods: in this survival study, hospital records of 246 women with breast cancer who underwent surgery and treatment at hospital Fayyazbakhsh were used. Patients were followed until 2012 May and their final situations recorded. Metastasis free survival estimated with Kaplan-myier method. To determine the prognostic factors, a conditional regression model called PWP fitted. All statistical analysis was conducted with R software, version 2.10.

  Results: 202 patients (82.1%) were alive until follow up and 44 patients (17.9%) died.54patients experience metastasis. 11 patients (4.7%) had two metastases. Most of metastases were shown in bone, liver, lung and brain. Median metastasis free survival (MFS) estimated 64 month. One, two and three year MFS were 88%, 80.1% and 76.6%, respectively. Lymph node involvement and HER2 were shown as prognostic factors for metastasis. Age, Esterogen Receptor, Prosterogen Receptor, Grade and tumor size were not significant ( P> 0.05).

  Conclusion: number of lymph nodes involvement as a prognostic factor involve more nodes and increase risk of metastasis and death. Thus prognosis and treatment of cancer in early stages increase survival of patients.