Department of Social Work, The Chinese University of Hong Kong, Hong Kong, China.
School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Health Soc Care Community. 2021 Jul;29(4):1019-1029. doi: 10.1111/hsc.13136. Epub 2020 Aug 12.
This study aims to enrich the comprehension of the effect of living density on anxiety and stress among adults in a global city. A random sample of 1,978 Hong Kong adults was interviewed in a cross-sectional population study in 2014-2015. Descriptive statistics and logistic regressions were used to investigate the association between housing variables and mental health indicators, namely, anxiety and stress. Logistic regression analysis results have shown that by controlling the confounding effect of demographic variables, income poverty, housing ownership and housing cost, the living density was significantly associated with anxiety and stress of residents. Compared with those living in high density of <7 m , living in medium density of ≥7 and <13 m was significantly associated with lower risk of anxiety (adjusted OR 0.52, 95% CI 0.30-0.88), and the risk was less for those living in low density of ≥13 m (adjusted OR 0.41, 95% CI 0.23-0.72). Meanwhile, living in low density of ≥13 m was significantly associated with a lower risk of stress (adjusted OR 0.44, 95% CI 0.20-0.97). These results highlighted the significant impact of living density on personal anxiety and stress. Moreover, female, younger adults or those living in income poverty were also at risk of anxiety and stress. In conclusion, our findings implied that improving housing policies, such as building public housing with adequate living areas and market regulation of living density of private housing, would help enhance the mental well-being of residents.
本研究旨在丰富对全球城市中居住密度对成年人焦虑和压力影响的理解。在 2014-2015 年的一项横断面人群研究中,对 1978 名香港成年人进行了随机抽样调查。采用描述性统计和逻辑回归分析来调查住房变量与心理健康指标(即焦虑和压力)之间的关系。逻辑回归分析结果表明,在控制人口统计学变量、收入贫困、住房所有权和住房成本等混杂因素的影响后,居住密度与居民的焦虑和压力显著相关。与居住在高密度(<7m )的人相比,居住在中密度(≥7 且<13m )的人患焦虑症的风险显著降低(调整后的 OR=0.52,95%CI:0.30-0.88),而居住在低密度(≥13m )的人患病风险更低(调整后的 OR=0.41,95%CI:0.23-0.72)。同时,居住在低密度(≥13m )的人患压力症的风险显著降低(调整后的 OR=0.44,95%CI:0.20-0.97)。这些结果强调了居住密度对个人焦虑和压力的显著影响。此外,女性、年轻成年人或收入贫困的人也面临焦虑和压力的风险。总之,我们的研究结果表明,改善住房政策,如建设有足够居住面积的公共住房和对私人住房居住密度进行市场调节,将有助于提高居民的心理健康水平。