Social determinants of mental health of women living in slum: a systematic review.

OBJECTIVE: With the rise of urbanization globally, the problem of living in slums has become a problem for the civil society. As a vulnerable segment, women make up half of the population in these regions; therefore, women's mental health has always been a concern. The purpose of this study was to review the social determinants of mental health in women living in slum areas. METHODS: We systematically reviewed articles published between 2009 and 2019 on the social determinants of women's mental health in SID, Magiran, Google scholar, PubMed, Scopus, Science Direct, Embase, MEDLINE, PsychINFO, and PsychARTICLES databases using MeSH keywords according to PRISMA guidelines. The quality of the studies was assessed depending on the type of study using Ottawa Newcastle" scale and Joanna Briggs Institute quality assessment tools. Finally, 23 studies were analyzed. RESULTS: Different social determinants influenced the mental health of women living in slum areas. Among the structural determinants, the socioeconomic level had the highest frequency, and gender was in the second rank with the highest correlation with poorer women's mental health status. Among the intermediate determinants, living conditions, food insecurity, social capital, and social support were most frequently associated with mental health status. CONCLUSION: Women living in slum areas are prone to developing mental disorders and poorer mental health; therefore, supporting these women and creating job opportunities to raise their incomes and, subsequently, improve their social, economic, and living conditions should be taken into consideration. In addition, this requires careful planning and comprehensive social support.

Health Impact Assessment of Urban Development Project.

BACKGROUND: Health impact assessment (HIA) has emerged to identify those activities and policies likely to have major impacts on the health of a population. METHOD: In this research, qualitative method was applied to identifying health determinants that urban man made lake affect on them, formatting and weighing the hierarchy of the factors, calculating AHP, and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for decide and ranking alternatives. RESULTS: According to the results of the study, from the structural determinants point of view, the most positive effect of man-made lake was on Recreational services by 89.5% and the most negative one was on housing. According to intermediary determinants and general average, the most positive effect of lake was on physical activity and quality of air by 88.9% and the most negative one was on noise pollution by 46.7%. Ultimately, considering the positive and negative effects of lake between constructing and not constructing the lake option, the construction option was selected. CONCLUSION: There is substantial potential to improve public health by bringing decision makers' attention to the health consequences of their actions; city councilpersons, zoning commissioners, and other decision makers typically have little background in health.

Ranking the effects of urban development projects on social determinants of health: health impact assessment.

BACKGROUND & OBJECTIVE: Health impact assessment (HIA) offer a very logical and interesting approach for those aiming to integrate health issues into planning processes. With a lot of works and plans waiting to be done (e.g., developing and updating plans, counseling planning commissions, cooperation with other organizations), planners find it difficult to prioritize health among a variety of possible issues and solutions they confront. METHODS: In the present article, first, the list of social determinants of health associated with Chitgar man-made lake was extracted out using a qualitative method and with content analysis approach, and then they were prioritized using analytic hierarchy process. RESULTS: 28 social determinants of health including "intermediary" and "structural" determinants were extracted out. Regarding positive effects of lake on these determinants, "recreational services" and "traffic" received the highest and the lowest weights with 0.895 and 0.638 respectively among structural determinants and with consideration to "construction" option. Furthermore, among intermediary determinants for "construction" option, sub-criteria of both "physical activity" and "air quality" received the final highest weight (0.889) and "pathogenesis" indicated the lowest weight with 0.617. Moreover, lake demonstrated the highest negative effects on "housing" among "structural" determinants which it takes the highest weight (0.476) in "non-construction" option. Additionally, lake had the highest negative effects on "noise pollution" among "intermediary determinants" and it takes the highest weight (0.467) in "non-construction" option. CONCLUSION: It has been shown that urban development projects such as green spaces, man-made lakes … have a huge range of effects on community's health, and having not considered these effects by urban planners and mangers is going to confront urban health with many challenges.

Position of social determinants of health in urban man-made lakes plans.

BACKGROUND AND OBJECTIVE: A social determinants approach proposes that enhancing living conditions in areas such as income, housing, transportation, employment, education, social support, and health services is central to improving the health of urban populations. Urban development projects can be costly but have health impacts. The benefit derived from the creation of man-made lakes in developing countries is usually associated with great risks; however, the evidence for physical and non-physical health benefits of urban man-made lake is unclear. The aim of this paper is to formulate a conceptual framework of associations between urban man-made lakes and social determinants of health. METHOD: This study was a qualitative study carried out using one focus group discussion and 16 individual interviews. Data were analyzed based on deductive-inductive content analysis approach. RESULTS: Participants' points of view were analyzed within 261 codes. Data analysis matrix was the conceptual framework of social determinants of health commission and its sub-groups, thus, two structural and mediating determinants categories as well as their sub-sets were created accordingly. In addition, some extra sub-sets including environment, air quality, weather changes, noise pollution, pathogenesis, quality of life, shortage of available resources, region popularity, ethnicity, tourism, social and physical development of children, unintentional injuries, aesthetic, and spirituality were extracted beyond the matrix factors, which were placed in each of above categories based on their thematic content. CONCLUSION: This paper has illustrated that the quality and type of man-made lake provided within communities can have a significant and sustained impact on community's health and wellbeing. Therefore, in order to strengthen positive effects and reduce negative effects of any developmental projects within community, their impacts on public health should be taken into consideration.