You are here
Racial residential segregation is associated with ambient air pollution exposure after adjustment for multilevel sociodemographic factors: Evidence from eight US-based cohorts.
Tuesday,2025-02-11 15:41 America/Los_Angeles — ecterry
| Title | Racial residential segregation is associated with ambient air pollution exposure after adjustment for multilevel sociodemographic factors: Evidence from eight US-based cohorts. |
| Publication Type | Journal Article |
| Year of Publication | 2025 |
| Authors | Zewdie, HY, Fahey, CA, Harrington, AL, Hart, JE, Biggs, ML, McClure, LA, Whitsel, EA, Kaufman, JD, Hajat, A |
| Journal | Environ Epidemiol |
| Volume | 9 |
| Issue | 1 |
| Pagination | e367 |
| Date Published | 2025 Feb |
| ISSN | 2474-7882 |
| Abstract | <p><b>OBJECTIVE: </b>We examined if racial residential segregation (RRS) - a fundamental cause of disease - is independently associated with air pollution after accounting for other neighborhood and individual-level sociodemographic factors, to better understand its potential role as a confounder of air pollution-health studies.</p><p><b>METHODS: </b>We compiled data from eight large cohorts, restricting to non-Hispanic Black and White urban-residing participants observed at least once between 1999 and 2005. We used 2000 decennial census data to derive a spatial RRS measure (divergence index) and neighborhood socioeconomic status (NSES) index for participants' residing Census tracts, in addition to participant baseline data, to examine associations between RRS and sociodemographic factors (NSES, education, race) and residential exposure to spatiotemporal model-predicted PM and NO levels. We fit random-effects meta-analysis models to pool estimates across adjusted cohort-specific multilevel models.</p><p><b>RESULTS: </b>Analytic sample included eligible participants in CHS (N = 3,605), MESA (4,785), REGARDS (22,649), NHS (90,415), NHSII (91,654), HPFS (32,625), WHI-OS (77,680), and WHI-CT (56,639). In adjusted univariate models, a quartile higher RRS was associated with 3.73% higher PM exposure (95% CI: 2.14%, 5.32%), and an 11.53% higher (95% CI: 10.83%, 12.22%) NO exposure on average. In fully adjusted models, higher RRS was associated with 3.25% higher PM exposure (95% CI: 1.45%, 5.05%; < 0.05) and 10.22% higher NO exposure (95% CI: 6.69%, 13.74%; < 0.001) on average.</p><p><b>CONCLUSIONS: </b>Our findings indicate that RRS is associated with the differential distribution of poor air quality independent of NSES or individual race, suggesting it may be a relevant confounder to be considered in future air pollution epidemiology studies.</p> |
| DOI | 10.1097/EE9.0000000000000367 |
| Alternate Journal | Environ Epidemiol |
| PubMed ID | 39839804 |
| PubMed Central ID | PMC11749741 |
| Grant List | R56 ES026528 / ES / NIEHS NIH HHS / United States 75N92020D00005 / HL / NHLBI NIH HHS / United States N01HC95160 / HL / NHLBI NIH HHS / United States U01 HL130114 / HL / NHLBI NIH HHS / United States N01HC95165 / HL / NHLBI NIH HHS / United States 75N92020D00007 / HL / NHLBI NIH HHS / United States HHSN268201500003I / HL / NHLBI NIH HHS / United States N01HC85083 / HL / NHLBI NIH HHS / United States N01HC85080 / HL / NHLBI NIH HHS / United States 75N92021D00004 / WH / WHI NIH HHS / United States N01HC85081 / HL / NHLBI NIH HHS / United States 75N92020D00002 / HL / NHLBI NIH HHS / United States 75N92021D00002 / HL / NHLBI NIH HHS / United States HHSN268201500003C / HL / NHLBI NIH HHS / United States U01 HL145386 / HL / NHLBI NIH HHS / United States 75N92021D00005 / WH / WHI NIH HHS / United States UL1 RR025005 / RR / NCRR NIH HHS / United States N01HC95163 / HL / NHLBI NIH HHS / United States U01 HL080295 / HL / NHLBI NIH HHS / United States HHSN268200800007C / HL / NHLBI NIH HHS / United States 75N92020D00001 / HL / NHLBI NIH HHS / United States N01HC95169 / HL / NHLBI NIH HHS / United States U01 CA176726 / CA / NCI NIH HHS / United States U01 CA167552 / CA / NCI NIH HHS / United States UH3 OD023271 / OD / NIH HHS / United States UG3 OD023271 / OD / NIH HHS / United States P01 AG055367 / AG / NIA NIH HHS / United States T32 ES015459 / ES / NIEHS NIH HHS / United States R01 ES023500 / ES / NIEHS NIH HHS / United States N01HC95164 / HL / NHLBI NIH HHS / United States N01HC55222 / HL / NHLBI NIH HHS / United States N01HC95162 / HL / NHLBI NIH HHS / United States N01HC85086 / HL / NHLBI NIH HHS / United States 75N92020D00003 / HL / NHLBI NIH HHS / United States N01HC95168 / HL / NHLBI NIH HHS / United States 75N92021D00001 / HL / NHLBI NIH HHS / United States HHSN268201200036C / HL / NHLBI NIH HHS / United States P30 ES007033 / ES / NIEHS NIH HHS / United States HHSN268201800001C / HL / NHLBI NIH HHS / United States U01 NS041588 / NS / NINDS NIH HHS / United States N01HC95159 / HL / NHLBI NIH HHS / United States 75N92021D00003 / WH / WHI NIH HHS / United States UM1 CA186107 / CA / NCI NIH HHS / United States R01 ES027696 / ES / NIEHS NIH HHS / United States N01HC95161 / HL / NHLBI NIH HHS / United States UL1 TR001420 / TR / NCATS NIH HHS / United States 75N92020D00004 / HL / NHLBI NIH HHS / United States 75N92021D00006 / HL / NHLBI NIH HHS / United States N01HC85082 / HL / NHLBI NIH HHS / United States N01HC95167 / HL / NHLBI NIH HHS / United States UL1 TR000040 / TR / NCATS NIH HHS / United States R21 ES033343 / ES / NIEHS NIH HHS / United States 75N92020D00006 / HL / NHLBI NIH HHS / United States N01HC85079 / HL / NHLBI NIH HHS / United States N01HC95166 / HL / NHLBI NIH HHS / United States R01 AG023629 / AG / NIA NIH HHS / United States |
ePub date:
25/01