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AbstractAlthough the older adult population faces a higher risk of poverty compared to others, there is no clear picture of their poverty in Iran. The aim of this study was to measure multidimensional poverty and its related factors among Iranian older adults. This cross-sectional study was conducted from July to November 2019 and collected data by interviewing 1,280 participants in Tehran, Iran. To compute multidimensional poverty, four dimensions were used: health (disabilities), education, housing and standard of living. Single and multidimensional poverty and the joint distribution of deprivation were calculated. Multilevel logistic regression models were used to determine the relationship between predictor variables and outcome (multidimensional poverty). Multidimensional poverty among Tehran's older people was 59.0 per cent. The prevalence of health, housing, education and standard of living deprivations were 15.4, 25.3, 29.5 and 29.9 per cent, respectively. Furthermore, multivariate analysis shows that living with a spouse, being employed, and having health and social insurance coverage were protective factors, while being female was a risk factor for multidimensional poverty. Approximately 21 per cent of multidimensional poverty variance was attributed to the district level and the remaining was assigned to individual-level factors. This study showed that the older adults living in different areas of Tehran experience different aspects of poverty. So paying attention to the dimensions of multidimensional poverty can play an important role in customising the policies of each district. Also, the findings of this study on risk and protective factors of multidimensional poverty can be effective in designing and implementing interventions to mitigate poverty among the older adults.

Background: Human well-being is a core global issue. Thus, achieving and sustaining higher levels of well-being is a challenge for citizens, governments, and international organizations worldwide. The present study aimed at describing the well-being status of residents of Tehran municipal districts. To achieve this, a composite well-being index was constructed for 22 municipal districts of Tehran (Tehran Well-being Index; TWI). Methods: This cross sectional study was conducted from May to October 2017 in Tehran using the data collected in the second round of Urban Health Equity Assessment and Response Tool (Urban HEART) Project of Tehran (2012-2013). The statistical population of this study was 22 municipal districts of Tehran and a sample of 34 700 households (118 000 individuals) selected using multistage cluster sampling. TWI was developed through the Organization for Economic Cooperation and Development (OECD) methodology of constructing composite indicators. Then, 22 municipal districts were categorized based on TWI scores. All data were analyzed using SPSS v.18. In addition, a cartogram was applied using GIS software to classify well-being status among Tehran municipal districts. Results: Factor analysis results showed that the Kaiser-Meyer-Olkin (KMO) value was 0.691 and 2 factors (material well-being and psychological well-being) explained 74.13% of the total variances. Furthermore, the best and worst performances were found in districts 6 and 17, respectively. District 6 had the best and district 17 the worst material well-being status. Also, districts 6 and 19 had the best and worst psychological well-being status, respectively. Conclusion: In general, the well-being status of the municipal districts of Tehran can be divided into 5 main categories: (a) prosperous (districts 1, 2, 3, 5, and 6); (b) fairly prosperous (districts 4, 21, and 22); (C) moderately prosperous (districts 7, 8, and 13); (d) less prosperous (9, 10, 11, 14, and 12); and (e) deprived zone (districts 12, 15, 16, 17, 18 and 19).