{"title":"Impact of housing price increases on depression and stress in urban Iran: a case study from district 18 of Tehran.","authors":"Saied Pirasteh, Esmail Isazade, Vahid Isazade, Fardin Mostafaei, Sediqe Azadi Bakhshayesh, Zahra Salimi","doi":"10.1186/s13033-026-00695-z","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Unaffordable housing has become a critical public health concern in developing countries, where rapid urbanization and inequality increase mental health risk. While existing research has explored economic and infrastructural dimensions of housing, limited attention has been given to how rising housing prices impact psychological well-being in low-income urban neighborhood. This study investigates the relationship between housing price increases and two key mental health outcomes depression and perceived stress within District 18 of Tehran, Iran.</p><p><strong>Methods: </strong>A cross-sectional study was conducted among 180 households across seven neighborhoods in District 18, using standardized psychometric tools: the Perceived Stress Scale (PSS-14) and Beck Depression Inventory-II (BDI-II). Housing indicators, including apartment and villa prices, household density, and building density, were obtained from municipal datasets. Spatial clustering and regression analyses were applied to examine the spatial and statistical relationships between housing and mental health patterns.</p><p><strong>Results: </strong>Housing price increases showed a strong positive correlation with both depression and perceived stress. The regression model revealed that apartment and villa prices accounted for 64.9% of the variation in depression scores (p < 0.001). Building density (34.8%) and household density (20.5%) were also significant predictors of psychological distress. Spatial analysis identified clustered hot spots of high depression and stress levels, particularly in high-density, high-price neighborhoods. The Moran's I index confirmed significant spatial autocorrelation for building density (I = 0.348, p = 0.041).</p><p><strong>Conclusions: </strong>This study highlights the significant impact of housing market pressures on mental health in underprivileged urban districts. The results suggest that rising housing prices and overcrowding have significantly increased the psychological burden among residents, emphasizing the need for integrative urban planning and mental health interventions.</p>","PeriodicalId":47752,"journal":{"name":"International Journal of Mental Health Systems","volume":" ","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2026-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12994247/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mental Health Systems","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13033-026-00695-z","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Unaffordable housing has become a critical public health concern in developing countries, where rapid urbanization and inequality increase mental health risk. While existing research has explored economic and infrastructural dimensions of housing, limited attention has been given to how rising housing prices impact psychological well-being in low-income urban neighborhood. This study investigates the relationship between housing price increases and two key mental health outcomes depression and perceived stress within District 18 of Tehran, Iran.
Methods: A cross-sectional study was conducted among 180 households across seven neighborhoods in District 18, using standardized psychometric tools: the Perceived Stress Scale (PSS-14) and Beck Depression Inventory-II (BDI-II). Housing indicators, including apartment and villa prices, household density, and building density, were obtained from municipal datasets. Spatial clustering and regression analyses were applied to examine the spatial and statistical relationships between housing and mental health patterns.
Results: Housing price increases showed a strong positive correlation with both depression and perceived stress. The regression model revealed that apartment and villa prices accounted for 64.9% of the variation in depression scores (p < 0.001). Building density (34.8%) and household density (20.5%) were also significant predictors of psychological distress. Spatial analysis identified clustered hot spots of high depression and stress levels, particularly in high-density, high-price neighborhoods. The Moran's I index confirmed significant spatial autocorrelation for building density (I = 0.348, p = 0.041).
Conclusions: This study highlights the significant impact of housing market pressures on mental health in underprivileged urban districts. The results suggest that rising housing prices and overcrowding have significantly increased the psychological burden among residents, emphasizing the need for integrative urban planning and mental health interventions.
背景:负担不起的住房已成为发展中国家一个重要的公共卫生问题,在这些国家,快速城市化和不平等增加了心理健康风险。虽然现有的研究已经探索了住房的经济和基础设施维度,但对房价上涨如何影响低收入城市社区的心理健康的关注有限。本研究调查了伊朗德黑兰第18区房价上涨与两个关键心理健康结果抑郁和感知压力之间的关系。方法:采用标准化心理测量工具:感知压力量表(PSS-14)和贝克抑郁量表- ii (BDI-II),对18区7个社区的180户家庭进行横断面研究。住房指标,包括公寓和别墅价格、家庭密度和建筑密度,均来自市政数据集。应用空间聚类和回归分析来检验住房与心理健康模式之间的空间和统计关系。结果:房价上涨与抑郁和感知压力呈显著正相关。回归模型显示,公寓和别墅价格占抑郁得分变化的64.9% (p)。结论:本研究突出了住房市场压力对城市贫困地区心理健康的显著影响。结果表明,房价上涨和过度拥挤显著增加了居民的心理负担,强调了综合城市规划和心理健康干预的必要性。