Urban Planning
Shiva Velayati; Sevil Rezaei Tabrizi
Abstract
In recent decades, mental health is one of the basic factors in the lives of citizens in developed countries. Paying attention to the fact that a large part of citizens' time is spent in urban spaces, it is important to pay attention to the physical components that lead to improving the mental health ...
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In recent decades, mental health is one of the basic factors in the lives of citizens in developed countries. Paying attention to the fact that a large part of citizens' time is spent in urban spaces, it is important to pay attention to the physical components that lead to improving the mental health of citizens. The aim of this research is to investigate the effect of physical components on the components of improving the mental health of citizens in the urban spaces of Tabriz. This study was conducted in terms of practical purpose and correlation method. First, research components were extracted in two categories: mental health components and physical components of urban spaces based on scientific principles, and then a questionnaire was designed to evaluate the effect of physical components on mental health. In this article, the statistical population is the citizens of Tabriz city, who use the two urban spaces of Ainali and El-Goli as the most important collective spaces. according to Cochran's formula, the sample size was determined as 384 people, the questionnaires were analyzed using Spearmon's correlation coefficient test in SPSS software. The physical components include spatial diversity, space flexibility, environmental issues, climate comfort, environmental facilities, privacy, legibility and visual beauty, and mental health including a sense of peace, personal security, mental images. Providing needs, happiness, sense of belonging and social interactions. The highest correlation belongs to the component of spatial diversity with the component of providing needs (0.478) and the lowest correlation to the component of climate comfort with the component of personal security (0.104). According to the findings of this article, the correlation between more than 90% of the physical and mental components is strong or moderate, and this result shows that the physical components have a high impact on the mental health of citizens.
All other Geographic fields of studies , Interdisciplinary
Mohaddeseh Esmaieli; islam karami; Abolfazl Dehagn mongabadi
Abstract
The growth of urbanization is associated with the increase of mental disorders, and one of the neglected issues in most of the programs and projects related to the environment is the discussion of aesthetics, and the focus of attention is focused on quantitative issues and factors, especially economic ...
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The growth of urbanization is associated with the increase of mental disorders, and one of the neglected issues in most of the programs and projects related to the environment is the discussion of aesthetics, and the focus of attention is focused on quantitative issues and factors, especially economic factors. The problem of this research is to examine the mental health of residents of residential complexes with the presupposition of the role of aesthetics. This research was done with the aim of improving the mental health of the residents, considering the role of aesthetic components. Explaining the components and standards of mental health and aesthetics and how to realize it in the research sample (Talar Gorgan town) are the questions of the research. Explaining the components and standards of mental health and aesthetics and how to realize it in the research sample (Talar Gorgan town) are the questions of the research. Field research was conducted through random sampling in a statistical sample (301 people) and using a Likert scale questionnaire, approved in spss software. The results of the studies are presented using descriptive tests, mean, one-sample t-test, correlation, regression and path analysis in spss software. The findings show that there is a significant negative relationship and correlation between the two variables of aesthetics and mental health, and only two variables of gender and length of stay have a direct and negative effect on the variable of mental health. The research results and architectural solutions to improve the mental health of the residents have been presented with regard to perception.
Urban Planning
Seyed Reza Azadeh; Jamal Mohammadi; Hamid Taher Neshat Dost
Abstract
Introduction In the present world and with the development of cities and urbanization, citizens’ mental health is at risk. In other words, rapid growth of the cities can be considered as one of the threats to the environment which influence the residents of the cities i.e. humans by devastating ...
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Introduction In the present world and with the development of cities and urbanization, citizens’ mental health is at risk. In other words, rapid growth of the cities can be considered as one of the threats to the environment which influence the residents of the cities i.e. humans by devastating effects on their soul and body. Studies have shown that the quality of the constructed life environments and urban neighborhoods affects the citizens’ mental health. If we accept that the quality of the constructed environments affects the mental health, in this physical environment housing plays an important role in the indicators of mental health, because people spend much of their time at home and their residential environment. With this approach, this research is mainly aimed at investigating the mutual relationship of different patterns of residential densities on the indicators of the citizens’ mental health in Mardavich neighborhood, Isfahan. Methodology The main goal of this research is investigating the mutual relationship between quantitative indicators of housing and the citizens’ mental health. In this regards, independent variables include different types of housing patterns, household density in the residential unit, and density of peoples living in a room. Depression and perceived stress are dependant variables of the research. For measuring people’s stress, perceived stress scale by Cohen et al. (1983) was used and for measuring depression, the second edition of depression questionnaire by Beck et al. (BDI-II) was used. The research population includes the households living in Mardavich neighborhood. Regarding the fact that no precise statistics were available, for filling the questionnaires, 250 questionnaires were distributed among the households and at the end, 231 correctly filled questionnaires were gathered. Results and Discussion One of the independent variables of the research is housing pattern. In this research, the respondents’ homes were analyzed in three classes including house, apartment, and high-rise residential complexes. The results showed that the average depression and perceived stress in houses and apartments are much lower than high-rise residential complexes. Statistically, there is an almost strong relationship between different housing patterns and mental health indicators. The second independent variable of the research is building density. The results of the present research showed that with the increase of building density, the average scores of depression and perceived stress also increase. Statistically, building density has a relationship with the variable of depression with the correlation coefficient of 0.518 and also, it has a relationship with perceived stress with the correlation coefficient of 0.464. The other independent variable of the research is the per capita residential land. The results of the present research showed that there is a negative relationship between the per capita housing and mental health indicators. Actually, with the increase of per capita housing and allocation of more land area to every individual, stress and depression will be decreased. Statistically, the correlations between the indicator of per capita housing and the dependant variables i.e. depression and perceived stress are respectively equal to 0.447 and 0.373. The forth independent variable of the research is the density of people living in a room. According to the obtained results, with the increase of people density in a room, depression and perceived stress will also increase. Statistically, people density in a room has a significant and positive relationship with depression and perceived stress with the respective correlation coefficients of 0.405 and 0.380. In the following, for investigating the fact that which of the independent variables has a stronger effect on perceived stress and depression, modeling of the changes of depression and perceived stress levels is done based on quantitative indicators of housing by stepwise linear regression. According to the results, significance level of F statistics for the indicators of perceived stress and depression is equal to 0.000 in the proposed models. This finding which is the result of regression analysis by variance analysis suggests that the research conceptual model has an appropriate goodness of fit. The results of perceived stress showed that for the changes of this indicator, we can propose a model based on the indicator of building density. It means that of the four independent variables, building density has the strongest effect on perceived stress. Finally based on the proposed model, building density can predict 47 percent of the changes of this indicator. According to the proposed models, the two indicators of building density and people density in a room are introduced as the predictive indicators of the variable of depression. Actually, the results of stepwise linear regression analysis for the variable of depression showed that two models can be proposed for the changes of this variable. In the first model, building density is the only predictive indicator which predicts 51.9 percent of the changes of depression. In the second model, the two indicators of building density and people density in room can respectively predict 42.6 and 16.7 percent of the changes of depression. Conclusion In general, it can be stated that all the independent variables of the research i.e. the quantitative indicators of housing have a significant relationship with mental health indicators i.e. depression and perceived stress. So, this research hypothesis which is consistent with many other works is approved and it suggests that there is a significant relationship between quantitative indicators of housing and mental health indicators. Therefore, by improving the quantitative indicators of housing, people’s mental health can be improved. This fact suggests that the communication between housing planning experts and psychologists should be strengthened more than the past in order to be able to control the negative effect of increased density on mental health indicators.
