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住房与健康:利用生物标志物数据得出的新证据。

Housing and health: new evidence using biomarker data.

机构信息

ESRC Research Centre on Micro-Social Change, Institute for Social and Economic Research, University of Essex, Colchester, UK.

MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

出版信息

J Epidemiol Community Health. 2019 Mar;73(3):256-262. doi: 10.1136/jech-2018-211431. Epub 2019 Jan 14.

Abstract

BACKGROUND

The link between housing and health is well established and long-standing, however much of the evidence relies on self-reported health measures. While these are useful, the availability of biomarker data allows us to add to this evidence using objective indicators of health.

METHODS

In this paper, we use C-reactive protein (CRP), a biomarker associated with infection and stress, alongside information relating to housing details, demographic characteristics and health behaviours taken from the UK Household Longitudinal Study. Hierarchical linear regression models estimate CRP for individual housing characteristics, and all available housing characteristics, controlling for confounders.

RESULTS

Results indicate that housing tenure, type, cost burden and desire to stay in current home are associated with CRP. Private renters have significantly higher (worse) CRP than owners with a mortgage. In terms of housing type, respondents living in detached homes had lower CRP than those in semidetached or terraced houses, or those living in flats. Housing cost burden is associated with lower CRP, although further analysis indicates that this is the case only for low-income renters. Desire to stay in current home is significantly associated with higher CRP.

CONCLUSIONS

A number of housing characteristics were associated with CRP. These results further support an important role for housing in health.

摘要

背景

住房与健康之间的联系由来已久,然而,许多证据依赖于自我报告的健康措施。虽然这些措施很有用,但生物标志物数据的可用性使我们能够使用健康的客观指标来增加这方面的证据。

方法

在本文中,我们使用 C 反应蛋白(CRP),一种与感染和压力相关的生物标志物,以及从英国家庭纵向研究中获取的与住房细节、人口特征和健康行为相关的信息。分层线性回归模型估计了个体住房特征和所有可用住房特征的 CRP,同时控制了混杂因素。

结果

结果表明,住房所有权、类型、经济负担和对当前住房的居住意愿与 CRP 有关。与有抵押贷款的业主相比,私人租户的 CRP 明显更高(更差)。就住房类型而言,居住在独立式住宅的受访者的 CRP 低于半独立式或排屋式住宅或居住在公寓式住宅的受访者。住房经济负担与 CRP 呈负相关,但进一步的分析表明,这种情况仅适用于低收入租户。对当前住房的居住意愿与 CRP 呈显著正相关。

结论

一些住房特征与 CRP 有关。这些结果进一步支持了住房在健康中的重要作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50da/6580751/365d244eabb6/jech-2018-211431f01.jpg

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