Dataset Information

Examining neighborhood poverty-based disparities in HIV/STI prevalence: an analysis of Add Health data.

ABSTRACT: PURPOSE:The purpose of the study was to estimate the effect of exposure to neighborhood poverty in adolescence on HIV/STI prevalence in early adulthood. METHODS:Longitudinal data from three waves of the National Longitudinal Study of Adolescent to Adult Health were analyzed. The primary exposure was living in a high- versus medium/low-poverty neighborhood during wave I. The outcome was having a sexually transmitted infection (STI) or receiving a HIV/STI diagnosis in the past 12 months at wave III. Covariates included sociodemographic, behavioral, and mental health-related factors. Inverse probability weighted marginal structural models were used to estimate neighborhood poverty-based differences in HIV/STI prevalence. RESULTS:The analytic sample comprised 8232 National Longitudinal Study of Adolescent to Adult Health participants. Of these, 16% and 84% resided in high- and medium/low-poverty neighborhoods, respectively. Eleven percent currently had an STI or HIV/STI diagnosis within the prior 12 months. Accounting for measured potential sources of confounding and selection bias, the HIV/STI prevalence difference (95% confidence limits) for those who grew up in high- versus medium/low-poverty neighborhoods was 0.015 (-0.015, 0.045). CONCLUSIONS:Strong evidence for neighborhood poverty-based differences in HIV/STI prevalence was not observed. Researchers should continue to investigate the effect of neighborhood-level socioeconomic position measures and, if warranted, identify etiologically relevant exposure periods.

SUBMITTER: Zullo AR

PROVIDER: S-EPMC6902432 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Examining neighborhood poverty-based disparities in HIV/STI prevalence: an analysis of Add Health data.

Zullo Andrew R AR Adams Joëlla W JW Gantenberg Jason R JR Marshall Brandon D L BDL Howe Chanelle J CJ

Annals of epidemiology 20191009

<h4>Purpose</h4>The purpose of the study was to estimate the effect of exposure to neighborhood poverty in adolescence on HIV/STI prevalence in early adulthood.<h4>Methods</h4>Longitudinal data from three waves of the National Longitudinal Study of Adolescent to Adult Health were analyzed. The primary exposure was living in a high- versus medium/low-poverty neighborhood during wave I. The outcome was having a sexually transmitted infection (STI) or receiving a HIV/STI diagnosis in the past 12 mo ...[more]

PMID: 31679893

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Project description:BACKGROUND:As part of efforts to expand Health in All Policies (HiAP) in Washington State in the U.S., the Washington State Board of Health (BOH) received statutory authority in 2006 to conduct Health Impact Reviews (HIRs). HIRs analyze the potential impacts of proposed legislation and budget decisions on health and health disparities. Public health professionals who are aware of HIRs are interested in adopting a similar process in their states; however, there is limited information about HIRs, how they are perceived, and how they could advance HiAP. METHODS:This research involved a descriptive analysis of a sample of HIRs and semi-structured interviews with a purposive sample of 17 key informants. For the descriptive analysis, all HIRs requested or completed between January 1, 2007 and April 1, 2016 that had a request form submitted by a legislator or the governor that was available in the BOH's online database were reviewed. Information was collected on several variables including the bill number and title, sponsor and political affiliation, and the sector to which the bill or budgetary proposal pertained. A purposeful sample of legislators, staff, advocates, and lobbyists who were involved with HIRs during the study period were invited to participate in semi-structured interviews. Topic coding was used to identify key themes from the qualitative data. RESULTS:During the study period, 20 legislators requested 36 HIRs; 32 HIRs were completed. HIRs were requested for several bill topics, including education (11/36) and labor and employment (9/36). Legislators who requested HIRs felt they provided valuable data on health and health disparities for proposed bills. Individuals who were less supportive of HIRs perceived them as an advocacy or political tool. The main barrier to widespread use of HIRs in Washington was a lack of awareness among legislators. CONCLUSIONS:HIRs are one strategy to advance HiAP for state policy decisions. HIRs are a potentially effective tool for highlighting how legislative proposals and budgets positively and negatively impact health and health disparities. Future efforts should promote awareness and highlight shared benefits of HIRs among legislators and their staff, as well as their scientific integrity, methodological rigor, and objectivity.

Project description:BackgroundRace is an important predictor of TKA outcomes in the United States; however, analyses of race can be confounded by socioeconomic factors, which can result in difficulty determining the root cause of disparate outcomes after TKA.Questions/purposesWe asked: (1) Are race and socioeconomic factors at the individual level associated with patient-reported pain and function 2 years after TKA? (2) What is the interaction between race and community poverty and patient-reported pain and function 2 years after TKA?MethodsWe identified all patients undergoing TKA enrolled in a hospital-based registry between 2007 and 2011 who provided 2-year outcomes and lived in New York, Connecticut, or New Jersey. Of patients approached to participate in the registry, more than 82% consented and provided baseline data, and of these patients, 72% provided 2-year data. Proportions of patients with complete followup at 2 years were lower among blacks (57%) than whites (74%), among patients with Medicaid insurance (51%) compared with patients without Medicaid insurance (72%), and among patients without a college education (67%) compared with those with a college education (71%). Our final study cohort consisted of 4035 patients, 3841 (95%) of whom were white and 194 (5%) of whom were black. Using geocoding, we linked individual-level registry data to US census tracts data through patient addresses. We constructed a multivariate linear mixed-effect model in multilevel frameworks to assess the interaction between race and census tract poverty on WOMAC pain and function scores 2 years after TKA. We defined a clinically important effect as 10 points on the WOMAC (which is scaled from 1 to 100 points, with higher scores being better).ResultsRace, education, patient expectations, and baseline WOMAC scores are all associated with 2-year WOMAC pain and function; however, the effect sizes were small, and below the threshold of clinical importance. Whites and blacks from census tracts with less than 10% poverty have similar levels of pain and function 2 years after TKA (WOMAC pain, 1.01 ± 1.59 points lower for blacks than for whites, p = 0.53; WOMAC function, 2.32 ± 1.56 lower for blacks than for whites, p = 0.14). WOMAC pain and function scores 2 years after TKA worsen with increasing levels of community poverty, but do so to a greater extent among blacks than whites. Disparities in pain and function between blacks and whites are evident only in the poorest communities; decreasing in a linear fashion as poverty increases. In census tracts with greater than 40% poverty, blacks score 6 ± 3 points lower (worse) than whites for WOMAC pain (p = 0.03) and 7 ± 3 points lower than whites for WOMAC function (p = 0.01).ConclusionsBlacks and whites living in communities with little poverty have similar patient-reported TKA outcomes, whereas in communities with high levels of poverty, there are important racial disparities. Efforts to improve TKA outcomes among blacks will need to address individual- and community-level socioeconomic factors.Level of evidenceLevel III, therapeutic study.

Dataset Information

Examining neighborhood poverty-based disparities in HIV/STI prevalence: an analysis of Add Health data.

Publications

Examining neighborhood poverty-based disparities in HIV/STI prevalence: an analysis of Add Health data.

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