Abstract
Causal evidence regarding neighborhood effects on health remains tenuous. Given that children have little agency in deciding where they live and spend proportionally more of their lives in neighborhoods than adults, their exposure to neighborhood conditions could make their health particularly sensitive to neighborhood effects. In this paper, we examine the relationship between exposure to poor neighborhoods from birth to ages 4–10 and childhood asthma. We used data from the 2003–2007 California Maternal Infant and Health Assessment (MIHA) and the 2012–2013 Geographic Research on Wellbeing (GROW) survey (N = 2619 mother/child dyads) to fit relative risks of asthma for children who experience different types of neighborhood poverty mobility using Poisson regression controlling for individual-level demographic and socioeconomic characteristics, and neighborhood satisfaction. Our results demonstrate that [1] living in a poor neighborhood at baseline and follow-up and [2] moving into a poor neighborhood were each associated with higher risk of asthma, compared with children not living in a poor neighborhood at either time. Exposure to impoverished neighborhoods and downward neighborhood poverty mobility matters for children’s health, particularly for asthma. Public health practitioners and policymakers need to address downward neighborhood economic mobility, in addition to downward family economic mobility, in order to improve children’s health.
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References
Macintyre S, Ellaway A. Neighborhoods and health: an overview. In: Kawachi I, Berkman L, editors. Neighborhoods and health, vol. 20. New York, NY: Oxford University Press; 2003. p. 20–42.
Margerison-Zilko C, Cubbin C, Jun J, Marchi K, Fingar K, Braveman P. Beyond the cross-sectional: neighborhood poverty histories and preterm birth. Am J Public Health. 2015;105(6):1174–80. https://doi.org/10.2105/AJPH.2014.302441.
Singh GK, Siahpush M, Kogan MD. Neighborhood socioeconomic conditions, built environments, and childhood obesity. Health Aff (Millwood). 2010;29(3):503–12. https://doi.org/10.1377/hlthaff.2009.0730.
Kuh D, Ben-Shlomo Y, Lynch J, Hallqvist J, Power C. Life course epidemiology. J Epidemiol Community Health. 2003;57(10):778–83. https://doi.org/10.1136/jech.57.10.778.
Akinbami LJ. The state of childhood asthma; United States, 1980-2005. In: National Center for Health Statistics (U.S.), Centers for Disease Control and Prevention (U.S.). 2006. https://stacks.cdc.gov/view/cdc/6793. Accessed 18 Jan 2019
Busse WW, Lemanske RF, Gern JE. Role of viral respiratory infections in asthma and asthma exacerbations. Lancet. 2010;376(9743):826–34. https://doi.org/10.1016/S0140-6736(10)61380-3.
Lee J-T, Kim H, Song H, Hong YC, Cho YS, Shin SY, et al. Air pollution and asthma among children in Seoul, Korea. Epidemiology. 2002;13(4):481–4.
Asher MI, Keil U, Anderson HR, Beasley R, Crane J, Martinez F, et al. International study of asthma and allergies in childhood (ISAAC): rationale and methods. Eur Respir J. 1995;8(3):483–91.
Moffatt MF, Kabesch M, Liang L, Dixon AL, Strachan D, Heath S, et al. Genetic variants regulating ORMDL3 expression contribute to the risk of childhood asthma. Nature. 2007;448(7152):470–3. https://doi.org/10.1038/nature06014.
Corburn J, Osleeb J, Porter M. Urban asthma and the neighbourhood environment in New York City. Health Place. 2006;12(2):167–79. https://doi.org/10.1016/j.healthplace.2004.11.002.
Oyana TJ, Rogerson P, Lwebuga-Mukasa JS. Geographic clustering of adult asthma hospitalization and residential exposure to pollution at a United States–Canada border crossing. Am J Public Health. 2004;94(7):1250–7. https://doi.org/10.2105/AJPH.94.7.1250.
Guarnieri M, Balmes JR. Outdoor air pollution and asthma. Lancet. 2014;383(9928):1581–92. https://doi.org/10.1016/S0140-6736(14)60617-6.
Butz AM, Breysse P, Rand C, Curtin-Brosnan J, Eggleston P, Diette GB, et al. Household smoking behavior: effects on indoor air quality and health of urban children with asthma. Matern Child Health J. 2011;15(4):460–8. https://doi.org/10.1007/s10995-010-0606-7.
Olmedo O, Goldstein IF, Acosta L, Divjan A, Rundle AG, Chew GL, et al. Neighborhood differences in exposure and sensitization to cockroach, mouse, dust mite, cat, and dog allergens in New York City. J Allergy Clin Immunol. 2011;128(2):284–292.e7. https://doi.org/10.1016/j.jaci.2011.02.044.
Northridge J, Ramirez OF, Stingone JA, Claudio L. The role of housing type and housing quality in urban children with asthma. J Urban Health Bull N Y Acad Med. 2010;87(2):211–24. https://doi.org/10.1007/s11524-009-9404-1.
Koinis-Mitchell D, McQuaid EL, Jandasek B, et al. Identifying individual, cultural and asthma-related risk and protective factors associated with resilient asthma outcomes in urban children and families. J Pediatr Psychol. 2012;37(4):424–37. https://doi.org/10.1093/jpepsy/jss002.
Otsuki M, Eakin MN, Arceneaux LL, Rand CS, Butz AM, Riekert KA. Prospective relationship between maternal depressive symptoms and asthma morbidity among Inner-City African American children. J Pediatr Psychol. 2010;35(7):758–67. https://doi.org/10.1093/jpepsy/jsp091.
DePriest K, Butz A. Neighborhood-level factors related to asthma in children living in urban areas: an integrative literature review. J Sch Nurs Off Publ Natl Assoc Sch Nurses. 2017;33(1):8–17. https://doi.org/10.1177/1059840516674054.
Barnett SBL, Nurmagambetov TA. Costs of asthma in the United States: 2002-2007. J Allergy Clin Immunol. 2011;127(1):145–52. https://doi.org/10.1016/j.jaci.2010.10.020.
Akinbami LJ, Moorman JE, Liu X. Asthma prevalence, health care use, and mortality: United States, 2005-2009. Natl Health Stat Rep. 2011;32:1–14.
Moorman JE, Akinbami LJ, Bailey CM, et al. National surveillance of asthma: United States, 2001-2010. Vital Health Stat 3. 2012;35:1–58.
Bloom B, Dey AN, Freeman G. Summary health statistics for U.S. children: National Health Interview Survey, 2005. National Center for Health Statistics. Vital Health Stat 10(231). 2006
Claudio L, Stingone JA, Godbold J. Prevalence of childhood asthma in urban communities: the impact of ethnicity and income. Ann Epidemiol. 2006;16(5):332–40. https://doi.org/10.1016/j.annepidem.2005.06.046.
Gupta RS, Zhang X, Springston EE, Sharp LK, Curtis LM, Shalowitz M, et al. The association between community crime and childhood asthma prevalence in Chicago. Ann Allergy Asthma Immunol Off Publ Am Coll Allergy Asthma Immunol. 2010;104(4):299–306. https://doi.org/10.1016/j.anai.2009.11.047.
Bishaw A. Areas with concentrated poverty: 2006–2010. Vol. 9. US Department of Commerce, Economics and Statistics Administration, US Census Bureau, 2011.
Braveman PA, Cubbin C, Egerter S, Chideya S, Marchi KS, Metzler M, et al. Socioeconomic status in health research: one size does not fit all. JAMA. 2005;294(22):2879–88. https://doi.org/10.1001/jama.294.22.2879.
Cubbin C, Hadden WC, Winkleby MA. Neighborhood context and cardiovascular disease risk factors: the contribution of material deprivation. Ethn Dis. 2001;11(4):687–700.
Williams DR, Collins C. Racial residential segregation: a fundamental cause of racial disparities in health. Public Health Rep Wash DC 1974. 2001;116(5):404–16. https://doi.org/10.1093/phr/116.5.404.
Gold DR, Wright R. Population disparities in asthma. Annu Rev Public Health. 2005;26:89–113. https://doi.org/10.1146/annurev.publhealth.26.021304.144528.
Pearlman DN, Zierler S, Meersman S, Kim HK, Viner-Brown SI, Caron C. Race disparities in childhood asthma: does where you live matter? J Natl Med Assoc. 2006;98(2):239–47.
Keet CA, McCormack MC, Pollack CE, Peng RD, McGowan E, Matsui EC. Neighborhood poverty, urban residence, race/ethnicity, and asthma: rethinking the inner-city asthma epidemic. J Allergy Clin Immunol. 2015;135(3):655–62. https://doi.org/10.1016/j.jaci.2014.11.022.
Grogan-Kaylor A, Woolley M, Mowbray C, et al. Predictors of neighborhood satisfaction. J Community Pract. 2006;14(4):27–50. https://doi.org/10.1300/J125v14n04_03.
Sheehan C, Powers D, Margerison-Zilko C, McDevitt T, Cubbin C. Historical neighborhood poverty trajectories and child sleep. Sleep Health. 2018;4(2):127–34. https://doi.org/10.1016/j.sleh.2017.12.005.
Lippert AM. Stuck in unhealthy places: how entering, exiting, and remaining in poor and nonpoor neighborhoods is associated with obesity during the transition to adulthood. J Health Soc Behav. 2016;57(1):1–21. https://doi.org/10.1177/0022146515627682.
Halfon N, Hochstein M. Life course health development: an integrated framework for developing health, policy, and research. Milbank Q. 2002;80(3):433–79. https://doi.org/10.1111/1468-0009.00019.
Cubbin C, Braveman PA, Marchi KS, Chavez GF, Santelli JS, Gilbert BJC. Socioeconomic and racial/ethnic disparities in unintended pregnancy among postpartum women in California. Matern Child Health J. 2002;6(4):237–46. https://doi.org/10.1023/A:1021158016268.
Rinki C, Martin K, Curtis M. 2010 MIHA county report: a summary report of county snapshots and geographic comparisons from the maternal and infant health assessment survey. Sacramento, CA: California Department of Public Health, Maternal, Child and Adolescent Health Program; 2012.
Cubbin C. Survey methodology of the geographic research on wellbeing (GROW) study. BMC Res Notes. 2015;8(1):1–10. https://doi.org/10.1186/s13104-015-1379-2.
U.S. Department of Commerce. Poverty areas. Stat brief. 1996. https://www.census.gov/prod/1/statbrief/sb95_13.pdf.Accessed 18 Jan 2019
Silva A. %SURVEYGENMOD macro: an alternative to deal with complex survey design for the GENMOD procedure. Orlando: SAS Institute; 2017. https://support.sas.com/resources/papers/proceedings17/0268-2017.pdf. Accessed 18 Jan 2019
Zhao K. Proper estimation of relative risk using PROC GENMOD in population studies. Las Vegas: SAS Institute; 2013. https://www.lexjansen.com/wuss/2013/81_Paper.pdf. Accessed 18 Jan 2019
Leslie S, Thiebaud P. Using propensity scores to adjust for treatment selection bias. Orlando: SAS Institute; 2007. http://www2.sas.com/proceedings/forum2007/184-2007.pdf. Accessed 18 Jan 2019
Center for Disease Control. Asthma in California. https://www.cdc.gov/asthma/stateprofiles/asthma_in_ca.pdf. Published 2011. Accessed 18 Jan 2019.
Ludwig J, Duncan GJ, Gennetian LA, Katz LF, Kessler RC, Kling JR, et al. Long-term neighborhood effects on low-income families: evidence from moving to opportunity. Am Econ Rev. 2013;103(3):226–31. https://doi.org/10.1257/aer.103.3.226.
Sanbonmatsu L, Marvokov J, Porter N, et al. The long-term effects of moving to opportunity on adult health and economic self-sufficiency. Cityscape. 2012;14(2)
Lee TA, Fuhlbrigge AL, Sullivan SD, Finkelstein JA, Inui TS, Lozano P, et al. Agreement between caregiver reported healthcare utilization and administrative data for children with asthma. J Asthma. 2007;44(3):189–94. https://doi.org/10.1080/02770900701209723.
Aalderen VMW. Childhood asthma: diagnosis and treatment Scientifica. 2012. https://doi.org/10.6064/2012/674204
Kim Y, Cubbin C. Changes in neighborhood economic context after the Great Recession and home food environments. Public Health Nutr. (under review).
Hyra D, Rugh JS. The US great recession: exploring its association with Black neighborhood rise, decline and recovery. Urban Geogr. 2016;37(5):700–26. https://doi.org/10.1080/02723638.2015.1103994.
Owens A, Sampson RJ. Community well-being and the Great Recession. Pathways Magazine Spring. 2013;3–7.
Acknowledgements
The authors acknowledge the generouds feedback of the PRC Health Group and JUH reviews.
Preparation of this manuscript was supported through a grant from the American Cancer Society (RSGT-11-010-01-CPPB) and the Population Research Center (R24 HD42849).
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Preparation of this manuscript was supported through a grant from the American Cancer Society (RSGT-11-010-01-CPPB), thePopulation Research Center (R24 HD42849 and P2CHD042849, NICHD), the Texas RCMAR ( P30AG059301-01 ) and National Instituteof Aging training grant (T32 AG000037).
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Y. Kim drafted and revised the manuscript, and analyzed and interpreted the data. P. Cantu contributed to conceptualizing the article, carried out the initial analyses, and co-drafted the manuscript. C. Sheehan and D. Powers participated in interpretation of the data and revisions of the manuscript. C. Cubbin designed and supervised the study, drafted and reviewed the manuscript, and participated in interpretation of the data. All authors approved the final article as submitted and agree to be accountable for all aspects of the work.
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What is already known on this subject?
• Neighborhood socioeconomic disadvantages are linked with children’s health, after adjusting for individual-level socioeconomic factors.
• However, most research examined neighborhood-child health associations only with cross-sectional data.
What does this study add?
• Moving from a non-poor to a poor neighborhood and living in a poor neighborhood at baseline and follow-up were each associated with higher risk of asthma compared with children not living in a poor neighborhood at baseline and follow-up.
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Cantu, P., Kim, Y., Sheehan, C. et al. Downward Neighborhood Poverty Mobility during Childhood Is Associated with Child Asthma: Evidence from the Geographic Research on Wellbeing (GROW) Survey. J Urban Health 96, 558–569 (2019). https://doi.org/10.1007/s11524-019-00356-2
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DOI: https://doi.org/10.1007/s11524-019-00356-2