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揭示邻里身体环境紊乱对生物健康的影响:与老年人代谢和炎症生物标志物的关联

Uncovering the Biological Toll of Neighborhood Physical Disorder: Links to Metabolic and Inflammatory Biomarkers in Older Adults.

作者信息

Yu Jiao, Cudjoe Thomas K M, Mathis Walter S, Chen Xi

机构信息

School of Public Health, Yale University, New Haven, CT.

School of Medicine, Johns Hopkins University, Baltimore, MD.

出版信息

medRxiv. 2024 Dec 26:2024.12.23.24319571. doi: 10.1101/2024.12.23.24319571.

Abstract

BACKGROUND

Neighborhood physical disorder has been linked to adverse health outcomes, yet longitudinal assessments of its relationship with metabolic and inflammatory biomarkers in older adults remain limited. This study examined the association between patterns of neighborhood physical disorder exposure and biomarkers among older adults.

METHODS

We included community-dwelling Medicare beneficiaries with 2017 biomarker data from the National Health and Aging Trends Study (n = 4,558). Neighborhood physical disorder from 2011 to 2016 was assessed using interviewer reports of neighborhood characteristics. Latent class analysis was employed to identify longitudinal patterns of exposure. Inverse probability weighted linear regression models were used to examine associations between physical disorder patterns and five biomarkers, including body mass index (BMI), waist circumference, hemoglobin A1C (HbA1c), high-sensitivity C-reactive protein (hsCRP), and interleukin-6 (IL-6).

RESULTS

Four classes of neighborhood physical disorder emerged: stable low exposure (85%), increased exposure (4%), decreased exposure (8%), and stable high exposure (3%). Regression findings indicate that residing in neighborhoods with stable high exposure was significantly associated with higher levels of BMI (), HbA1c ( = 0.09, ), hsCRP (), and IL-6 (), compared to those with stable low exposure. Older adults with increased exposure and decreased exposure also exhibited elevated risks in multiple metabolic and inflammation biomarkers.

CONCLUSIONS

Persistent exposure to neighborhood physical disorder is associated with higher levels of metabolic and inflammatory biomarkers, underscoring the need for targeted clinical screening and neighborhood initiatives to promote healthy aging in place.

摘要

背景

社区环境脏乱差与不良健康后果相关,但关于其与老年人代谢及炎症生物标志物之间关系的纵向评估仍然有限。本研究调查了老年人社区环境脏乱差暴露模式与生物标志物之间的关联。

方法

我们纳入了来自国家健康与老龄化趋势研究、有2017年生物标志物数据的社区医保受益老人(n = 4558)。通过访员对社区特征的报告评估2011年至2016年的社区环境脏乱差情况。采用潜在类别分析来确定暴露的纵向模式。使用逆概率加权线性回归模型来研究环境脏乱差模式与五种生物标志物之间的关联,这五种生物标志物包括体重指数(BMI)、腰围、糖化血红蛋白(HbA1c)、高敏C反应蛋白(hsCRP)和白细胞介素-6(IL-6)。

结果

出现了四类社区环境脏乱差情况:稳定低暴露(85%)、暴露增加(4%)、暴露减少(8%)和稳定高暴露(3%)。回归结果表明,与稳定低暴露的社区相比,居住在稳定高暴露社区与更高水平的BMI()、HbA1c( = 0.09,)、hsCRP()和IL-6()显著相关。暴露增加和暴露减少的老年人在多种代谢和炎症生物标志物方面也表现出风险升高。

结论

持续暴露于社区环境脏乱差与更高水平的代谢和炎症生物标志物相关,这凸显了进行有针对性的临床筛查以及开展社区行动以促进就地健康老龄化的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d69/11703287/e2223886a332/nihpp-2024.12.23.24319571v1-f0001.jpg

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