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Ethnic density, immigrant enclaves, and Latino health risks: A propensity score matching approach.

ABSTRACT: Whether minority concentration in a neighborhood exposes residents to, or protects them from, health risks has generated burgeoning scholarly interests; yet endogeneity as a result of neighborhood selection largely remains unclear in the literature. This study addresses such endogeneity and simultaneously investigates the roles of co-ethnic density and immigrant enclaves in influencing high blood pressure and high cholesterol level among Latinos, the largest minority group in the United States. Pooled cross-sectional data that included both native and foreign-born Latinos of Puerto Rican, Mexican, and other origins (N = 1563) from the 2006 and 2008 Southeastern Pennsylvania Household Health Survey were linked to census-tract profiles from the 2005-2009 American Community Survey. Results from both multilevel regression and propensity score matching analysis confirmed the deleterious effect of residential co-ethnic density on Latino adults' health risks over and above individual risk factors. We also found selection bias associated with the observed protective effect of immigrant concentration, which is likely a result of residential preference.

SUBMITTER: Li K

PROVIDER: S-EPMC5573190 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature

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Ethnic density, immigrant enclaves, and Latino health risks: A propensity score matching approach.

Li Kelin K Wen Ming M Henry Kevin A KA

Social science & medicine (1982) 20170725

Whether minority concentration in a neighborhood exposes residents to, or protects them from, health risks has generated burgeoning scholarly interests; yet endogeneity as a result of neighborhood selection largely remains unclear in the literature. This study addresses such endogeneity and simultaneously investigates the roles of co-ethnic density and immigrant enclaves in influencing high blood pressure and high cholesterol level among Latinos, the largest minority group in the United States. ...[more]

PMID: 28780439

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Project description:ObjectivesTo estimate the effect of HIV infection on the risk of preterm birth (PTB) and low birth weight (LBW) among Chinese pregnancy women.DesignA retrospective cohort study included HIV-positive pregnant women who gave birth to singletons in Chengdu between 2011 and 2020 and and HIV-negative pregnant women who delivered singletons at the Chengdu Women's and Children's Central Hospital in 2020.SettingData of pregnant women living with HIV were extracted from China's Information System of Prevention of Mother-to-Child Transmission of HIV Management. Additionally, information for HIV-negative pregnant women was extracted from the electronic medical record system of the Chengdu Women's and Children's Central Hospital.Participants755 HIV-positive women and 15,094 HIV-negative pregnant women were included.Primary outcome measuresPTB and LBW rates, which were defined by gestational weeks and birth weight.ResultsThe incidences of PTB and LBW (13.51% and 14.17%, respectively) were significantly higher in the HIV-positive group compared with the HIV-negative group (6.82% and 4.65%). Propensity score matching was performed to improve comparability of the two groups, resulting in 1590 pregnancies with 558 HIV-positive and 1032 HIV-negative women in the final analysis. Conditional logistic regression was used to estimate the effect of maternal HIV status on adverse pregnancy outcomes. After propensity score matching and controlling the potential confounders, HIV infection was strongly associated with higher chances of LBW and PTB with adjusted odd ratios (95% confidence interval) of 2.53 (1.74 to 3.68) and 1.95 (1.33 to 2.85), respectively.ConclusionsHIV infection was significantly associated with increased risks of PTB and LBW in Chinese pregnant women. Future studies should focus on investigating the mechanisms underlying the association between HIV infection and adverse birth outcomes, and on identifying strategies to reduce the incidence of PTB and LBW in pregnant women living with HIV.

Project description:BackgroundForeign-born Black and Latina women on average have higher birthweight infants than their US-born counterparts, despite generally worse socioeconomic indicators and prenatal care access, i.e., "immigrant birthweight paradox" (IBP). Residence in immigrant enclaves and associated social-cultural and economic benefits may be drivers of IBP. Yet, enclaves have been found to have higher air pollution, a risk factor for lower birthweight.ObjectiveWe investigated the association of immigrant enclaves and children's birthweight accounting for prenatal ambient air pollution exposure.MethodsIn the Boston-based Children's HealthWatch cohort of mother-child dyads, we obtained birthweight-for-gestational-age z-scores (BWGAZ) for US-born births, 2006-2015. We developed an immigrant enclave score based on census-tract percentages of foreign-born, non-citizen, and linguistically-isolated households statewide. We estimated trimester-specific PM2.5 concentrations and proximity to major roads based residential address at birth. We fit multivariable linear regressions of BWGAZ and examined effect modification by maternal nativity. Analyses were restricted to nonsmoking women and term births.ResultsForeign-born women had children with 0.176 (95% CI: 0.092, 0.261) higher BWGAZ than US-born women, demonstrating the IBP in our cohort. Immigrant enclave score was not associated with BWGAZ, even after adjusting for air pollution exposures. However, this association was significantly modified by maternal nativity (pinteraction = 0.014), in which immigrant enclave score was positively associated with BWGAZ for only foreign-born women (0.090, 95% CI: 0.007, 0.172). Proximity to major roads was negatively associated with BWGAZ (-0.018 per 10 m, 95% CI: -0.032, -0.003) and positively correlated with immigrant enclave scores. Trimester-specific PM2.5 concentrations were not associated with BWGAZ.SignificanceResidence in immigrant enclaves was associated with higher birthweight children for foreign-born women, supporting the role of immigrant enclaves in the IBP. Future research of the IBP should account for immigrant enclaves and assess their spatial correlation with potential environmental risk factors and protective resources.

Project description:BackgroundThe diagnostic process is a key element of medicine but it is complex and prone to errors. Infectious diseases are one of the three categories of diseases in which diagnostic errors can be most harmful to patients. In this study we aimed to estimate the effect of initial misdiagnosis of the source of infection in patients with bacteraemia on 14 day mortality using propensity score methods to adjust for confounding.MethodsData from a previously described longitudinal cohort of patients diagnosed with monobacterial bloodstream infection (BSI) at the Leiden University Medical Centre (LUMC) between 2013 and 2015 were used. Propensity score matching and inversed probability of treatment weighting (IPTW) were applied to correct for confounding. The average treatment effect on the treated (ATT), which in this study was the average effect of initial misdiagnosis on the misdiagnosed (AEMM), was estimated. Methodological issues that were encountered when applying propensity score methods were addressed by performing additional sensitivity analyses. Sensitivity analyses consisted of varying caliper in propensity score matching and using different truncated weights in inversed probability of treatment weighting.ResultsData of 887 patients were included in the study. Propensity scores ranged between 0.015 and 0.999 and 80 patients (9.9%) had a propensity score > 0.95. In the matched analyses, 35 of the 171 misdiagnosed patients died within 14 days (20.5%), versus 10 of the 171 correctly diagnosed patients (5.8%), yielding a difference of 14.6% (7.6%; 21.6%). In the total group of patients, the observed percentage of patients with an incorrect initial diagnosis that died within 14 days was 19.8% while propensity score reweighting estimated that their probability of dying would have been 6.5%, if they had been correctly diagnosed (difference 13.3% (95% CI 6.9%;19.6%)). After adjustment for all variables that showed disbalance in the propensity score a difference of 13.7% (7.4%; 19.9%) was estimated. Sensitivity analyses yielded similar results. However, performing weighted analyses without truncation yielded unstable results.ConclusionThus, we observed a substantial increase of 14 day mortality in initially misdiagnosed patients. Furthermore, several patients received propensity scores extremely close to one and were almost sure to be initially misdiagnosed.

Dataset Information

Ethnic density, immigrant enclaves, and Latino health risks: A propensity score matching approach.

Publications

Ethnic density, immigrant enclaves, and Latino health risks: A propensity score matching approach.

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