Early-Life Exposure to Air Pollution and Childhood Asthma Cumulative Incidence in the ECHO CREW Consortium Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1001/jamanetworkopen.2024.0535
Importance Exposure to outdoor air pollution contributes to childhood asthma development, but many studies lack the geographic, racial and ethnic, and socioeconomic diversity to evaluate susceptibility by individual-level and community-level contextual factors. Objective To examine early life exposure to fine particulate matter (PM 2.5 ) and nitrogen oxide (NO 2 ) air pollution and asthma risk by early and middle childhood, and whether individual and community-level characteristics modify associations between air pollution exposure and asthma. Design, Setting, and Participants This cohort study included children enrolled in cohorts participating in the Children’s Respiratory and Environmental Workgroup consortium. The birth cohorts were located throughout the US, recruited between 1987 and 2007, and followed up through age 11 years. The survival analysis was adjusted for mother’s education, parental asthma, smoking during pregnancy, child’s race and ethnicity, sex, neighborhood characteristics, and cohort. Statistical analysis was performed from February 2022 to December 2023. Exposure Early-life exposures to PM 2.5 and NO 2 according to participants’ birth address. Main Outcomes and Measures Caregiver report of physician-diagnosed asthma through early (age 4 years) and middle (age 11 years) childhood. Results Among 5279 children included, 1659 (31.4%) were Black, 835 (15.8%) were Hispanic, 2555 (48.4%) where White, and 229 (4.3%) were other race or ethnicity; 2721 (51.5%) were male and 2596 (49.2%) were female; 1305 children (24.7%) had asthma by 11 years of age and 954 (18.1%) had asthma by 4 years of age. Mean values of pollutants over the first 3 years of life were associated with asthma incidence. A 1 IQR increase in NO 2 (6.1 μg/m 3 ) was associated with increased asthma incidence among children younger than 5 years (HR, 1.25 [95% CI, 1.03-1.52]) and children younger than 11 years (HR, 1.22 [95% CI, 1.04-1.44]). A 1 IQR increase in PM 2.5 (3.4 μg/m 3 ) was associated with increased asthma incidence among children younger than 5 years (HR, 1.31 [95% CI, 1.04-1.66]) and children younger than 11 years (OR, 1.23 [95% CI, 1.01-1.50]). Associations of PM 2.5 or NO 2 with asthma were increased when mothers had less than a high school diploma, among Black children, in communities with fewer child opportunities, and in census tracts with higher percentage Black population and population density; for example, there was a significantly higher association between PM 2.5 and asthma incidence by younger than 5 years of age in Black children (HR, 1.60 [95% CI, 1.15-2.22]) compared with White children (HR, 1.17 [95% CI, 0.90-1.52]). Conclusions and Relevance In this cohort study, early life air pollution was associated with increased asthma incidence by early and middle childhood, with higher risk among minoritized families living in urban communities characterized by fewer opportunities and resources and multiple environmental coexposures. Reducing asthma risk in the US requires air pollution regulation and reduction combined with greater environmental, educational, and health equity at the community level.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1001/jamanetworkopen.2024.0535
- https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2815586/zanobetti_2024_oi_240043_1708501353.82175.pdf
- OA Status
- gold
- Cited By
- 58
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392242527
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4392242527Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1001/jamanetworkopen.2024.0535Digital Object Identifier
- Title
-
Early-Life Exposure to Air Pollution and Childhood Asthma Cumulative Incidence in the ECHO CREW ConsortiumWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-02-28Full publication date if available
- Authors
-
Antonella Zanobetti, Patrick Ryan, Brent A. Coull, Heike Luttmann‐Gibson, Soma Datta, Jeffrey C. Blossom, Cole Brokamp, Nathan Lothrop, Rachel L. Miller, Paloma I. Beamer, Cynthia M. Visness, Howard Andrews, Leonard B. Bacharier, Tina V. Hartert, Christine Cole Johnson, Dennis R. Ownby, Gurjit K. Khurana Hershey, Christine L.M. Joseph, Eneida A. Mendonça, Daniel J. Jackson, Edward M. Zoratti, Anne L. Wright, Fernando D. Martínez, Christine M. Seroogy, Sima Ramratnam, Agustin Calatroni, James E. Gern, Diane R. GoldList of authors in order
- Landing page
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https://doi.org/10.1001/jamanetworkopen.2024.0535Publisher landing page
- PDF URL
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https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2815586/zanobetti_2024_oi_240043_1708501353.82175.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2815586/zanobetti_2024_oi_240043_1708501353.82175.pdfDirect OA link when available
- Concepts
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Asthma, Medicine, Demography, Cohort, Ethnic group, Respiratory sounds, Early childhood, Socioeconomic status, Environmental health, Cohort study, Pediatrics, Population, Psychology, Pathology, Sociology, Internal medicine, Anthropology, Developmental psychologyTop concepts (fields/topics) attached by OpenAlex
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58Total citation count in OpenAlex
- Citations by year (recent)
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2025: 41, 2024: 17Per-year citation counts (last 5 years)
- References (count)
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35Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.(OR, | 325 |
| abstract_inverted_index.(age | 173, 178 |
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| abstract_inverted_index.1.22 | 287 |
| abstract_inverted_index.1.23 | 326 |
| abstract_inverted_index.1.25 | 276 |
| abstract_inverted_index.1.31 | 315 |
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| abstract_inverted_index.1305 | 216 |
| abstract_inverted_index.1659 | 187 |
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| abstract_inverted_index.2022 | 144 |
| abstract_inverted_index.2555 | 195 |
| abstract_inverted_index.2596 | 212 |
| abstract_inverted_index.2721 | 207 |
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| abstract_inverted_index.Mean | 236 |
| abstract_inverted_index.This | 79 |
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| abstract_inverted_index.less | 344 |
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| abstract_inverted_index.over | 240 |
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| abstract_inverted_index.than | 272, 283, 311, 322, 345, 387 |
| abstract_inverted_index.this | 413 |
| abstract_inverted_index.were | 99, 189, 193, 202, 209, 214, 247, 339 |
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| abstract_inverted_index.2023. | 147 |
| abstract_inverted_index.Among | 183 |
| abstract_inverted_index.Black | 351, 366, 393 |
| abstract_inverted_index.White | 402 |
| abstract_inverted_index.among | 269, 308, 350, 434 |
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| abstract_inverted_index.early | 35, 57, 172, 416, 427 |
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| abstract_inverted_index.other | 203 |
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| abstract_inverted_index.where | 197 |
| abstract_inverted_index.years | 223, 233, 244, 274, 285, 313, 324, 389 |
| abstract_inverted_index.μg/m | 260, 299 |
| abstract_inverted_index.(4.3%) | 201 |
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| abstract_inverted_index.White, | 198 |
| abstract_inverted_index.asthma | 9, 54, 170, 220, 230, 250, 267, 306, 338, 383, 424, 452 |
| abstract_inverted_index.census | 361 |
| abstract_inverted_index.cohort | 80, 414 |
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| abstract_inverted_index.equity | 470 |
| abstract_inverted_index.health | 469 |
| abstract_inverted_index.higher | 364, 377, 432 |
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| abstract_inverted_index.study, | 415 |
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| abstract_inverted_index.years) | 175, 180 |
| abstract_inverted_index.years. | 115 |
| abstract_inverted_index.(15.8%) | 192 |
| abstract_inverted_index.(18.1%) | 228 |
| abstract_inverted_index.(24.7%) | 218 |
| abstract_inverted_index.(31.4%) | 188 |
| abstract_inverted_index.(48.4%) | 196 |
| abstract_inverted_index.(49.2%) | 213 |
| abstract_inverted_index.(51.5%) | 208 |
| abstract_inverted_index.Design, | 75 |
| abstract_inverted_index.Results | 182 |
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| abstract_inverted_index.cohorts | 86, 98 |
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| abstract_inverted_index.female; | 215 |
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| abstract_inverted_index.Exposure | 1, 148 |
| abstract_inverted_index.February | 143 |
| abstract_inverted_index.Measures | 165 |
| abstract_inverted_index.Outcomes | 163 |
| abstract_inverted_index.Reducing | 451 |
| abstract_inverted_index.Setting, | 76 |
| abstract_inverted_index.address. | 161 |
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| abstract_inverted_index.analysis | 118, 139 |
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| abstract_inverted_index.compared | 400 |
| abstract_inverted_index.density; | 370 |
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| abstract_inverted_index.evaluate | 24 |
| abstract_inverted_index.example, | 372 |
| abstract_inverted_index.exposure | 37, 72 |
| abstract_inverted_index.factors. | 31 |
| abstract_inverted_index.families | 436 |
| abstract_inverted_index.followed | 110 |
| abstract_inverted_index.included | 82 |
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| abstract_inverted_index.child’s | 129 |
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| abstract_inverted_index.reduction | 462 |
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| abstract_inverted_index.childhood, | 60, 430 |
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