阿拉巴马州黑人区住房危机对呼吸系统健康的影响。

IF 3.3 Q2 ALLERGY Frontiers in allergy Pub Date : 2024-08-21 eCollection Date: 2024-01-01 DOI:10.3389/falgy.2024.1413171
Sharlene D Newman, Aylin Akca Sumengen, Michael Rasbury, Steven McDaniel
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引用次数: 0

摘要

背景:美国农村地区的住房危机日益严重,无家可归者越来越多,此外,由于无力承担维修和维护费用,不合标准的住房也越来越多。本研究的目的是评估阿拉巴马州黑人区农村社区的住房问题,这些问题往往未得到充分研究,本研究还评估了住房质量与呼吸系统健康之间的关系:方法:对五个黑色地带县进行半随机抽样,获得 253 个农村家庭样本。调查旨在获取有关家庭收入、住房状况(包括安全问题清单)和呼吸健康的信息。进行了 χ 2 分析,以研究住房类型和收入对呼吸道疾病发病率和家庭安全问题(如屋顶、窗户/门、地板、霉菌/霉斑)的影响:大多数受访家庭的年收入低于 15,000 美元,并且拥有自己的房屋,其中一半以上的房屋是人造房屋。较低的收入与哮喘发病率增加有关[χ 2(2, N = 237) = 7.75, p = 0.021],而居住在人造房屋中与过敏风险增加有关[χ 2(1, N = 251) = 7.88, p = 0.005]。此外,门窗质量差 [χ 2(1, N = 253) = 3.8, p = 0.05] 与哮喘发病率较高有关:研究结果证实并扩展了之前的研究结果,表明在农村地区,住房质量与过敏症和哮喘发病率之间存在关系,而农村地区有大量老化的人造住宅。
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The effect of the housing crisis in the Alabama Black Belt on respiratory health.

Background: There is a growing housing crisis in rural America with homelessness growing in addition to a growing number of substandard homes due to an inability to afford the costs of repair and maintenance. The goal of the current study was to assess the housing concerns in rural Alabama Black Belt communities which are often understudied and the relationship between housing quality and respiratory health.

Methods: A semi-random sampling of five Black Belt counties was conducted to obtain a sample of 253 rural households. The survey was designed to obtain information regarding household income, housing status including a list of safety concerns and respiratory health. A χ 2 analysis was performed to examine the effect of housing type and income on prevalence of respiratory illness and safety home concerns (e.g., roofing, windows/doors, floors, mold/mildew).

Results: The majority of households surveyed had an annual income below $15,000 and owned their homes with over half of the homes being manufactured homes. Lower income was associated with increased prevalence of asthma [χ 2(2, N = 237) = 7.75, p = 0.021], while living in a manufactured home was associated with increased risk of allergies [χ 2(1, N = 251) = 7.88, p = 0.005]. Additionally, poor windows and doors [χ 2(1, N = 253) = 3.8, p = 0.05] was associated with higher prevalence of asthma.

Conclusions: The results confirm and expand previous results and demonstrate the relationship between quality housing and allergy and asthma prevalence in rural areas with an abundance of aging manufactured homes.

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