Showing 3 results for Mental Health
, Dariush Sattarzadeh, Lida Balilan, Akbar Abdollahzadeh Tarf, Mahsa Faramarzi Main,
Volume 0, Issue 0 (3-1921)
Abstract
Abstract
Providing suitable urban spaces, especially open and natural spaces, has an undeniable effect on achieving health-oriented cities and especially ensuring the mental health of citizens. The aim of this study was to investigate and explain the effect of social indicators of public spaces on the mental health of citizens. This research is applied in terms of purpose type and descriptive-analytical method. A survey method (questionnaire) was used to collect research data. The statistical population of the study was the residents of Ardabil. The sample size was estimated to be 384 using the Cochran's formula. The research hypotheses were tested through structural equations using Amos software. The results showed that social factors have a positive and significant effect on the mental health of citizens in public spaces of the city. The value of the path coefficient obtained for the effect of the social factor on the mental health of citizens is equal to 0.52 so that this factor is able to predict 0.27 of the variance of the dependent variable, ie the mental health of citizens. The results also showed that social indicators, namely security, social relations and sociability of urban public spaces have a positive and significant effect on the mental health of citizens. Among social indicators, security index has the highest coefficient of path.
D.r Hamid Heidary Mokarrar, Master Hamid Reza Nasimi, B.a Zohreh Ramezanpour,
Volume 19, Issue 55 (12-2019)
Abstract
Various developmental proceedings of conducting guide plans have been considered as one of the main prerequisites for social welfare by providing a basis for comprehensive development and improvement of living conditions in the rural areas and promoting the mental health of villagers. Accordingly, the present research seeks to evaluate the effects of guide plans on the mental health status of villagers in the central part of Darab County. This research is a descriptive-analytic study in which the documentary method used to examine the records and explain the problem, a survey method was used to collect data using observation, interview, and completion of questionnaire among the villagers. Descriptive, inferential and spatial analysis was performed using Excel, SPSS and ArcGIS software to analyze the data. The findings of the study confirm that the executive measures of the conducting guide plans in the studied villages are in a proper level. Accordingly, the quality of implementation of these plans, at a confidence level of 0.99, is correlated with the mental health of the villagers. Also, the results of regression test showed that about 20% of the changes in mental health status of the people living in the studied villages were predicted by the implementation of guide plans. Other results of the research confirm that there is a significant difference between mental health status in all three age groups of men But among women, there is a significant difference between the two age groups of the elderly with young people and middle aged people.
Elmira Azimi, Dariush Sattarzadeh, Lida Bolillan, Akbar Abdollahzadeh Tarf, Mahsa Faramarzi Asli,
Volume 20, Issue 59 (12-2020)
Abstract
The prevalence of chronic health problems is increasing, both in terms of physical health and mental health in modern societies. Meanwhile, the health of individuals in society as human capital is important in advancing the goals of thematic communities. The aim of this study was to investigate the role of physical-environmental factors on the mental health of citizens. This research is applied in terms of purpose and descriptive-analytical method. The statistical population of citizens living in Ardabil was estimated to be 384 using the Cochranchr('39')s formula. The field data collection tool was a researcher-made questionnaire whose validity was confirmed by formal validity and reliability using Cronbachchr('39')s alpha test and combined reliability. The results of this study showed that legibility and visual quality, access to urban green space, security of urban space, quality of urban furniture, mixing and variety of uses have a positive and significant effect on the mental health of citizens. Considering the value of the path coefficient obtained for the independent research variables, among the identified variables, the quality of urban green space with the path coefficient value of 0.44 had the highest path coefficient and had the greatest effect on the dependent variable, ie mental health of citizens. Also, the mixing variable and the variety of uses with a path coefficient value of 0.21 had the least effect on mental health.
