历史红线与妊娠期糖尿病的关系:BMI和面积剥夺指数的中介作用。

IF 16.6
Diabetes care Pub Date : 2025-05-01 DOI:10.2337/dc24-2147
Wajeeha Umer, Yi Sun, Anqi Jiao, Karen D Lincoln, Mengyi Li, Chantal C Avila, Vicki Y Chiu, Jeff M Slezak, David A Sacks, John Molitor, Tarik Benmarhnia, Jiu-Chiuan Chen, Darios Getahun, Jun Wu
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引用次数: 0

摘要

目的:探讨妊娠期糖尿病(GDM)风险与历史红线的关系,以及这种关系是否与母亲肥胖和区域水平剥夺有关。研究设计和方法:本回顾性研究包括来自南加州凯撒医疗机构(Kaiser Permanente) 2008-2018年健康记录的86834例单胎妊娠。使用数字化的房主贷款公司(HOLC)地图评估红线,患者的居住地址进行地理编码,并根据他们在HOLC分级区域内的地理位置分配HOLC等级(A, B, C或D)。对于GDM病例患者,根据诊断日期的地址分配暴露;对于非病例患者,在妊娠24至28周期间根据住址进行分配。健康记录与2011 - 2015年人口普查数据的地区剥夺指数(ADI)相结合。混合效应logistic回归模型评估了redlining与GDM之间的关联,BMI和ADI作为中介,使用反向优势比加权进行评估。模型根据母亲的年龄、教育程度、种族和民族、社区收入水平和吸烟状况进行了调整。结果:在10134例(11.67%)GDM患者中,我们发现与“最佳”分级区相比,B级(“仍然理想”,调整比值比[aOR] 1.20, 95% CI 0.99-1.44)、c级(“绝对下降”,aOR 1.22, 95% CI 1.02-1.47)和d级(“危险”,即红线,aOR 1.30, 95% CI 1.08-1.57)街区的GDM风险增加。怀孕前BMI和ADI分别介导了红线区域母亲GDM风险增加的44.2%和64.5%。结论:历史红线与GDM风险增加有关,由母亲肥胖和邻里剥夺介导。未来的研究需要探索将红线与妊娠结局联系起来的复杂途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association of Historical Redlining With Gestational Diabetes Mellitus: The Mediating Role of BMI and Area Deprivation Index.

Objective: We investigated the association between historic redlining and risk of gestational diabetes mellitus (GDM) and whether this relationship is mediated by maternal obesity and area-level deprivation.

Research design and methods: This retrospective study included 86,834 singleton pregnancies from Kaiser Permanente Southern California's health records (2008-2018). Redlining was assessed using digitized Home Owners' Loan Corporation (HOLC) maps, with patients' residential addresses geocoded and assigned HOLC grades (A, B, C, or D) based on their geographic location within HOLC-graded zones. For GDM case patients, exposure was assigned based on address at diagnosis date; for noncase patients, it was assigned based on address during the 24th to 28th gestational week. Health records were combined with area deprivation index (ADI) from 2011 to 2015 census data. Mixed-effect logistic regression models assessed associations between redlining and GDM, with mediation by BMI and ADI evaluated using inverse odds ratio weighting. Models were adjusted for maternal age, education, race and ethnicity, neighborhood-level income, and smoking status.

Results: Among the 10,134 (11.67%) GDM case patients, we found increased risk of GDM in B ("still desirable," adjusted odds ratio [aOR] 1.20, 95% CI 0.99-1.44), C-graded ("definitely declining," aOR 1.22, 95% CI 1.02-1.47), and D-graded ("hazardous," i.e., redlined, aOR 1.30, 95% CI 1.08-1.57) neighborhoods compared with the "best"-graded zone. Prepregnancy BMI and ADI mediated 44.2% and 64.5% of the increased GDM risk among mothers in redlined areas.

Conclusions: Historic redlining is associated with an increased risk of GDM, mediated by maternal obesity and neighborhood deprivation. Future research is needed to explore the complex pathways linking redlining to pregnancy outcomes.

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