Corine Sau Man Wong, Wai Chi Chan, Natalie Wing Tung Chu, Wing Yan Law, Harriet Wing Yu Tang, Ting Yat Wong, Eric Yu Hai Chen, Linda Chiu Wa Lam
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Logistic regression and generalized linear models were used to examine the association between housing and neighborhood quality and CMD/psychological distress, adjusting for sociodemographic and residential characteristics and baseline mental disorders. Housing quality was associated with the 3-year CMD (adjusted OR 0.95; 95% CI 0.91 to 0.98). Likewise, neighborhood quality was associated with CMD over 3 years (adjusted OR 0.92; 95% CI 0.87 to 0.96). In a separate model including both quality measures, the effect of housing quality on CMD was attenuated, whereas the neighborhood impact remained significant (adjusted OR 0.92; 95% CI 0.87 to 0.98). Generalized linear models indicated that for participants residing in substandard housing, those with high neighborhood quality had lower CIS-R scores at follow-up compared to those with low neighborhood quality (p = 0.041). Better neighborhood quality alleviated the detrimental effects of poor housing quality on mental health. 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引用次数: 0
摘要
现有文献广泛探讨了住房和邻里质量的个体作用,而研究它们对心理健康的交互影响的文献却很有限。这项为期 3 年的队列研究采用纵向设计,调查了香港 962 名居住在社区的成年人的住房和邻里质量对心理健康的个体和交互影响。研究人员要求受试者在 3 年内对其居住环境质量进行评分。心理健康结果,包括心理困扰程度和常见精神障碍(CMD),采用修订版临床访谈表(CIS-R)进行评估。采用逻辑回归和广义线性模型来研究住房和邻里质量与 CMD/心理困扰之间的关系,并对社会人口学特征、居住特征和基线精神障碍进行调整。住房质量与 3 年 CMD 相关(调整后 OR 为 0.95;95% CI 为 0.91 至 0.98)。同样,社区质量也与 3 年的 CMD 相关(调整 OR 0.92;95% CI 0.87 至 0.96)。在一个包括两种质量测量指标的单独模型中,住房质量对慢性阻塞性肺病的影响有所减弱,而邻里关系的影响仍然显著(调整后 OR 0.92;95% CI 0.87 至 0.98)。广义线性模型显示,对于居住在不达标住房中的参与者来说,与居住区质量低的参与者相比,居住区质量高的参与者在随访时的 CIS-R 得分较低(p = 0.041)。较高的社区质量减轻了低质量住房对心理健康的不利影响。为改善社区环境而进行的规划将改善城市环境中居民的心理健康。
Individual and Interactive Effects of Housing and Neighborhood Quality on Mental Health in Hong Kong: A Retrospective Cohort Study.
Existing literature has widely explored the individual roles of housing and neighborhood quality, and there is limited research examining their interactive effects on mental health. This 3-year cohort study utilized a longitudinal design to investigate the individual and interactive effects of housing and neighborhood quality on mental health among 962 community-dwelling adults in Hong Kong. Participants were asked to rate their residential qualities over the 3-year period. Mental health outcomes, including levels of psychological distress and common mental disorders (CMD), were assessed using the Revised Clinical Interview Schedule (CIS-R). Logistic regression and generalized linear models were used to examine the association between housing and neighborhood quality and CMD/psychological distress, adjusting for sociodemographic and residential characteristics and baseline mental disorders. Housing quality was associated with the 3-year CMD (adjusted OR 0.95; 95% CI 0.91 to 0.98). Likewise, neighborhood quality was associated with CMD over 3 years (adjusted OR 0.92; 95% CI 0.87 to 0.96). In a separate model including both quality measures, the effect of housing quality on CMD was attenuated, whereas the neighborhood impact remained significant (adjusted OR 0.92; 95% CI 0.87 to 0.98). Generalized linear models indicated that for participants residing in substandard housing, those with high neighborhood quality had lower CIS-R scores at follow-up compared to those with low neighborhood quality (p = 0.041). Better neighborhood quality alleviated the detrimental effects of poor housing quality on mental health. Planning for an enhanced neighborhood would improve population mental health in an urban environment.
期刊介绍:
The Journal of Urban Health is the premier and authoritative source of rigorous analyses to advance the health and well-being of people in cities. The Journal provides a platform for interdisciplinary exploration of the evidence base for the broader determinants of health and health inequities needed to strengthen policies, programs, and governance for urban health.
The Journal publishes original data, case studies, commentaries, book reviews, executive summaries of selected reports, and proceedings from important global meetings. It welcomes submissions presenting new analytic methods, including systems science approaches to urban problem solving. Finally, the Journal provides a forum linking scholars, practitioners, civil society, and policy makers from the multiple sectors that can influence the health of urban populations.