Associations Between Neighborhood-Level Racial Residential Segregation, Socioeconomic Factors, and Life Expectancy in the US.
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ABSTRACT:
SUBMITTER: Khan SS
PROVIDER: S-EPMC10349335 | biostudies-literature | 2023 Jul
REPOSITORIES: biostudies-literature
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Associations Between Neighborhood-Level Racial Residential Segregation, Socioeconomic Factors, and Life Expectancy in the US.
Khan Sadiya S SS McGowan Cyanna C Seegmiller Laura E LE Kershaw Kiarri N KN
JAMA health forum 20230707 7
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Project description:BackgroundPrevious research suggests that neighborhood-level racial/ethnic residential segregation is linked to health, but it has not been studied prospectively in relation to cardiovascular disease (CVD).Methods and resultsParticipants were 1595 non-Hispanic black, 2345 non-Hispanic white, and 1289 Hispanic adults from the Multi-Ethnic Study of Atherosclerosis free of CVD at baseline (aged 45-84 years). Own-group racial/ethnic residential segregation was assessed by using the Gi* statistic, a measure of how the neighborhood racial/ethnic composition deviates from surrounding counties' racial/ethnic composition. Multivariable Cox proportional hazards modeling was used to estimate hazard ratios for incident CVD (first definite angina, probable angina followed by revascularization, myocardial infarction, resuscitated cardiac arrest, coronary heart disease death, stroke, or stroke death) over 10.2 median years of follow-up. Among blacks, each standard deviation increase in black segregation was associated with a 12% higher hazard of developing CVD after adjusting for demographics (95% confidence interval, 1.02-1.22). This association persisted after adjustment for neighborhood-level characteristics, individual socioeconomic position, and CVD risk factors (hazard ratio, 1.12; 95% confidence interval, 1.02-1.23). For whites, higher white segregation was associated with lower CVD risk after adjusting for demographics (hazard ratio, 0.88; 95% confidence interval, 0.81-0.96), but not after further adjustment for neighborhood characteristics. Segregation was not associated with CVD risk among Hispanics. Similar results were obtained after adjusting for time-varying segregation and covariates.ConclusionsThe association of residential segregation with cardiovascular risk varies according to race/ethnicity. Further work is needed to better characterize the individual- and neighborhood-level pathways linking segregation to CVD risk.
| S-EPMC4293329 | biostudies-literature
Project description:One in 10 people die awaiting transplantation from donor shortage. Only half of Americans register as organ donors. In this cross-sectional study, we evaluated population-level associations of neighborhood socioeconomic deprivation and racial segregation on organ donor registration rates. We analyzed state identification card demographic and organ donor registration data from 5 states to estimate the association between a neighborhood socioeconomic deprivation index (range [0, 1]; higher values indicate more deprivation) and a racial index of concentration at the extreme (ICE) (range [-1, 1]; lower values indicate predominantly black neighborhoods, higher values indicate predominantly white neighborhoods) on organ donor registration rates within a specified geography (census tract or ZIP code tabulation area [ZCTA]). Among 26 720 738 registrants, 32% of the sample were registered organ donors. At the census tract level, with each 0.1 decrease in the deprivation index, the organ donor registration rate increased by 6.8% (95% confidence interval [CI]: 6.6%, 7.0%). With each 0.1 increase in the racial ICE, the rate increased by 1.5% (95% CI: 1.5%, 1.6%). These associations held true at the ZCTA level. Areas with less socioeconomic deprivation and a higher concentration of white residents have higher organ donor registration rates. Public health initiatives should consider neighborhood context and novel data sources in designing optimal intervention strategies.
| S-EPMC8191504 | biostudies-literature
Project description:ImportanceDespite cross-sectional evidence linking racial residential segregation to hypertension prevalence among non-Hispanic blacks, it remains unclear how changes in exposure to neighborhood segregation may be associated with changes in blood pressure.ObjectiveTo examine the association of changes in neighborhood-level racial residential segregation with changes in systolic and diastolic blood pressure over a 25-year period.Design, setting, and participantsThis observational study examined longitudinal data of 2280 black participants of the Coronary Artery Risk Development in Young Adults (CARDIA) study, a prospective investigation of adults aged 18 to 30 years who underwent baseline examinations in field centers in 4 US locations from March 25, 1985, to June 7, 1986, and then were re-examined for the next 25 years. Racial residential segregation was assessed using the Getis-Ord Gi* statistic, a measure of SD between the neighborhood's racial composition (ie, percentage of black residents) and the surrounding area's racial composition. Segregation was categorized as high (Gi* >1.96), medium (Gi* 0-1.96), and low (Gi* <0). Fixed-effects linear regression modeling was used to estimate the associations of within-person change in exposure to segregation and within-person change in blood pressure while tightly controlling for time-invariant confounders. Data analyses were performed between August 4, 2016, and February 9, 2017.Main outcomes and measuresWithin-person changes in systolic and diastolic blood pressure across 6 examinations over 25 years.ResultsOf the 2280 participants at baseline, 974 (42.7%) were men and 1306 (57.3%) were women. Of these, 1861 (81.6%) were living in a high-segregation neighborhood; 278 (12.2%), a medium-segregation neighborhood; and 141 (6.2%), a low-segregation neighborhood. Systolic blood pressure increased by a mean of 0.16 (95% CI, 0.06-0.26) mm Hg with each 1-SD increase in segregation score after adjusting for interactions of time with age, sex, and field center. Of the 1861 participants (81.6%) who lived in high-segregation neighborhoods at baseline, reductions in exposure to segregation were associated with reductions in systolic blood pressure. Mean differences in systolic blood pressure were -1.33 (95% CI, -2.26 to -0.40) mm Hg when comparing high-segregation with medium-segregation neighborhoods and -1.19 (95% CI, -2.08 to -0.31) mm Hg when comparing high-segregation with low-segregation neighborhoods after adjustment for time and interactions of time with baseline age, sex, and field center. Changes in segregation were not associated with changes in diastolic blood pressure.Conclusions and relevanceDecreases in exposure to racial residential segregation are associated with reductions in systolic blood pressure. This study adds to the small but growing body of evidence that policies that reduce segregation may have meaningful health benefits.
| S-EPMC5710452 | biostudies-literature
Project description:ObjectiveTo explore state patterns in the racial life expectancy gap.Data sourcesThe 1997-2004 Multiple Cause of Death PUF, 2000 U.S. Census.Study designWe calculated life expectancy at birth for black and white men and women.Data extraction methodsData were obtained by the NCHS and U.S. Census Bureau.Principal findingsStates with small racial differences are due to higher-than-expected life expectancy for blacks or lower-than-expected for whites. States with large disparity are explained by higher-than-average life expectancy among whites or lower-than-average life expectancy among blacks.ConclusionsHeterogeneous state patterns in racial disparity in life expectancy exist. Eliminating disparity in states with large black populations would make the greatest impact nationally.
| S-EPMC3393007 | biostudies-literature
Project description:Residential racial segregation is a key manifestation of anti-Black structural racism, thought to be a fundamental cause of poor health; evidence has shown that it yields neighborhood disinvestment, institutional discrimination, and targeting of unhealthy products like tobacco and alcohol. Yet research on the long-term impacts of childhood exposure to residential racial segregation is limited. Here, we analyzed data on 1823 Black participants in the Panel Study of Income Dynamics, estimating associations between childhood segregation trajectories and young adult health. Black young adults who consistently lived in high-segregation neighborhoods throughout childhood experienced unhealthier smoking and drinking behaviors and higher odds of obesity compared to other trajectory groups, including children who moved into or out of high-segregation neighborhoods. Results were robust to controls for neighborhood and family poverty. Findings underscore that for Black children who grow up in segregated neighborhoods, the roots of structurally-determined health inequities are established early in life.
| S-EPMC10166594 | biostudies-literature
Project description:The relationship between racial/ethnic residential segregation and physical activity (PA) remains unclear with both positive and negative associations between segregation and PA recently reported. We aimed to examine the relationship between county-level residential segregation and total daily PA and domain-specific PA and whether these associations varied by gender. Participants (N = 2625, mean age [SD] = 45.2 [15.4]) were recruited from the AmeriSpeak panel who completed up to two Activities Completed over Time in 24 Hours (ACT24) previous day recalls in 2019. PA outcomes were created for the following: (1) light PA (LPA), (2) moderate-to-vigorous PA (MVPA), (3) total active time, and (4) domain-specific PA, including leisure, work, household, transport, personal, and other activities. County-level residential segregation based on isolation. Weighted generalized linear models were used to examine the relationship between county-level segregation and each PA outcome, controlling for age, gender, race/ethnicity, income, employment, body mass index, county-level poverty, and census region. Overall, results showed no association between county-level residential segregation and LPA, MVPA, total active time, and domain-specific PA among NH Black and Hispanic populations. Among NH Black females, greater residential segregation was associated with more total hours/day of activity (β = 3.54, 95% CI [0.23, 6.85]). Only NH Black females living in segregated neighborhoods had more total active time. Additionally, it is important to acknowledge that these relationships may vary among NH Black and Hispanic populations. Future studies should examine the interaction between segregation and a broader range of individual, contextual, and environmental factors in relation to PA and domain-specific PA.
| S-EPMC11865418 | biostudies-literature
Project description:BackgroundTwo strong risk factors for gastroschisis are young maternal age (<20 years) and low/normal pre-pregnancy body mass index (BMI), yet the reasons remain unknown. We explored whether neighborhood-level socioeconomic position (nSEP) during pregnancy modified these associations.MethodsWe analyzed data from 1269 gastroschisis cases and 10,217 controls in the National Birth Defects Prevention Study (1997-2011). To characterize nSEP, we applied the neighborhood deprivation index and used generalized estimating equations to calculate odds ratios and relative excess risk due to interaction.ResultsElevated odds of gastroschisis were consistently associated with young maternal age and low/normal BMI, regardless of nSEP. High-deprivation neighborhoods modified the association with young maternal age. Infants of young mothers in high-deprivation areas had lower odds of gastroschisis (adjusted odds ratio [aOR]: 3.1, 95% confidence interval [CI]: 2.6, 3.8) than young mothers in low-deprivation areas (aOR: 6.6; 95% CI: 4.6, 9.4). Mothers of low/normal BMI had approximately twice the odds of having an infant with gastroschisis compared to mothers with overweight/obese BMI, regardless of nSEP (aOR range: 1.5-2.3).ConclusionOur findings suggest nSEP modified the association between gastroschisis and maternal age, but not BMI. Further research could clarify whether the modification is due to unidentified biologic and/or non-biologic factors.
| S-EPMC10527855 | biostudies-literature
Project description:The disparity in life expectancy between white and black Americans exceeds five years for men and three years for women. While prior research has investigated the roles of healthcare, health behaviors, biological risk, socioeconomic status, and life course effects on black mortality, the literature on the geographic origins of the gap is more limited. This study examines how the black-white life expectancy gap varies across counties and how much of the national gap is attributable to within-county racial inequality versus differences between counties. The estimates suggest that over 90% of the national gap can be attributed to within-county factors. Using a quasi-experimental research design, I find that black-white residential segregation increases the gap by approximately 16 years for men and five years for women. The segregation effect loads heavily on causes of death associated with access to and quality of healthcare; safety and violence; and public health measures. Residential segregation does not appear to operate through health behaviors or individual-level factors, but instead acts primarily through institutional mechanisms. Efforts to address racial disparities in mortality should focus on reducing racial residential segregation or reducing inequalities in the mechanisms through which residential segregation acts: public services, employment opportunities, and community resources.
| S-EPMC11258794 | biostudies-literature
Project description:BackgroundThe effect of racial residential segregation on breast cancer treatment disparities is unclear. We examined whether racial segregation is associated with adjuvant treatment receipt and patient knowledge of disease.Patients and methodsWe surveyed a population-based sample of women in Northern California with stage I to III breast cancer diagnosed in 2010 to 2011 (participation rate = 68.5%, 500 patients). For black, Hispanic, and white women, we measured black and Hispanic segregation using the location quotient (LQ) of racial residential segregation, a proportional measure of the size of a minority group in the census tract compared with the larger metropolitan statistical area. We categorized LQ values for black and Hispanic participants into quartiles, with quartile 1 representing a lower relative level of segregation than quartile 4. We used multivariable logistical regression to assess the odds of receiving guideline-recommended adjuvant therapy and patient knowledge of tumor characteristics according to relative residential segregation.ResultsWe observed greater residential segregation for black versus Hispanic patients (P < .05). Overall, there were no treatment differences according to Hispanic or black LQ, except for black LQ quartile 3 (vs. 1) for which we observed higher odds of hormonal therapy. Knowledge of disease did not vary according to black LQ, but patients in the Hispanic LQ quartile 3 (vs. quartile 1) had less tumor knowledge.ConclusionWe did not find clear associations for racial residential segregation and treatment or cancer knowledge in Northern California, an area with low levels of segregation. Additional research should assess the effect of segregation on breast cancer treatment disparities in a variety of geographical locations.
| S-EPMC6556145 | biostudies-literature
Project description:ImportanceResearch suggests the social, physical, and socioeconomic contexts of residing in segregated neighborhoods may negatively affect mental health.ObjectiveTo assess the association between racial residential segregation and prenatal mental health among Asian, Black, Hispanic, and White individuals.Design, setting, and participantsThis population-based cross-sectional study was conducted in Kaiser Permanente Northern California (KPNC), an integrated health care delivery system. Participants included self-identified Asian, Black, Hispanic, and White pregnant individuals who attended at least 1 prenatal care visit at KPNC between January 1, 2014, and December 31, 2019. Data were analyzed from January 14, 2023, to August 15, 2024.ExposuresRacial residential segregation, defined by the local Getis-Ord Gi* statistic, was calculated in each racial and ethnic group and categorized as low (<0), medium (0-1.96), or high (>1.96). A positive Gi* statistic indicates overrepresentation (greater clustering or segregation) of the racial and ethnic group in an index census tract and neighboring tracts compared with the larger surrounding geographic area.Main outcomes and measuresPrenatal depression and anxiety defined by diagnoses codes documented in the electronic health record between the first day of the last menstrual period and the day prior to birth.ResultsAmong the 201 115 participants included in the analysis (mean [SD] age, 30.8 [5.3] years; 26.8% Asian, 6.6% Black, 28.0% Hispanic, and 38.6% White), prenatal depression and anxiety were highest in Black individuals (18.3% and 18.4%, respectively), followed by White (16.0% and 18.2%, respectively), Hispanic (13.0% and 14.4%, respectively), and Asian (5.7% and 6.4%, respectively) individuals. Asian (40.8% vs 31.1%) and Black (43.3% vs 22.6%) individuals were more likely to live in neighborhoods with high vs low segregation, while Hispanic individuals were equally likely (34.3% vs 34.7%). High compared with low segregation was associated with greater odds of prenatal depression (adjusted odds ratio [AOR], 1.25 [95% CI, 1.10-1.42]) and anxiety (AOR, 1.14 [95% CI, 1.00-1.29]) among Black individuals. High segregation was associated with lower odds of prenatal depression among Asian (AOR, 0.75 [95% CI, 0.69-0.82]), Hispanic (AOR, 0.88 [95% CI, 0.82-0.94]), and White (AOR, 0.91 [95% CI, 0.86-0.96]) individuals. Similar associations were found for anxiety among Asian (AOR, 0.80 [95% CI, 0.73-0.87]) and Hispanic (AOR, 0.88 [95% CI, 0.82-0.93]) but not White (AOR, 0.95 [95% CI, 0.90-1.00]) individuals.Conclusions and relevanceIn this cross-sectional study, racial and ethnic residential segregation was associated with worse prenatal mental health for Black individuals but better mental health for Asian, Hispanic, and White individuals. Policies reducing segregation and its impact may improve mental health outcomes in pregnant Black individuals.
| S-EPMC11581653 | biostudies-literature