The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Neighborhood risk factors for low birthweight in Baltimore: a multilevel analysis.
Open accessAbstract
OBJECTIVES: Past research on low birthweight has focused on individual-level risk factors. We sought to assess the contribution of macrolevel social factors by using census tract-level data on social stratification, community empowerment, and environmental stressors. METHODS: Census tract-level information on social risk was linked to birth certificate records from Baltimore, Md, for the period 1985 through 1989. Individual level factors included maternal education, maternal age, medical assistance health insurance (Medicaid), and trimester of prenatal care initiation. Methods of multilevel modeling using two-stage regression analyses were employed. RESULTS: Macrolevel factors had both direct associations and interactions with low birthweight. All individual risk factors showed interaction with macrolevel variables; that is, individual-level risk factors for low birthweight behaved differently depending upon the characteristics of the neighborhood of residence. For example, women living in high-risk neighborhoods benefited less from prenatal care than did women living in lower-risk neighborhoods. CONCLUSIONS: Multilevel modeling is an important tool that allows simultaneous study of macro- and individual-level risk factors. Multilevel analyses should play a larger role in the formulation of public health policies.
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Models for Longitudinal Data: A Generalized Estimating Equation Approach
Zeger, S. L., Liang, K.-Y., & Albert, P. S. (1988) · Biometrics · doi:10.2307/2531734 · Cited by 4,505
The Dimensions of Residential Segregation
Massey, D. S., & Denton, N. A. (1988) · Social Forces · doi:10.1093/sf/67.2.281 · Cited by 3,483
Establishing and maintaining healthy environments: Toward a social ecology of health promotion.
Stokols, D. (1992) · American Psychologist · doi:10.1037//0003-066x.47.1.6 · Cited by 2,009
CASSEL, J. (1995) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a117515 · Cited by 1,938
THE CONTRIBUTION OF THE SOCIAL ENVIRONMENT TO HOST RESISTANCE1
CASSEL, J. (1976) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a112281 · Cited by 1,816
Do Neighborhoods Influence Child and Adolescent Development?
Brooks-Gunn, J., Duncan, G. J., Klebanov, P. K., & Sealand, N. (1993) · American Journal of Sociology · doi:10.1086/230268 · Cited by 1,684
Krieger, N. (1992) · American Journal of Public Health · doi:10.2105/ajph.82.5.703 · Cited by 1,654
THE MEASUREMENT OF SOCIAL CLASS IN EPIDEMIOLOGY
LIBERATOS, P., LINK, B. G., & KELSEY, J. L. (1988) · Epidemiologic Reviews · doi:10.1093/oxfordjournals.epirev.a036030 · Cited by 1,335
The fallacy of the ecological fallacy: the potential misuse of a concept and the consequences.
Schwartz, S. (1994) · American Journal of Public Health · doi:10.2105/ajph.84.5.819 · Cited by 777
Attainment and Adjustment in Two Geographical Areas: I—The Prevalence of Psychiatric Disorder
Rutter, M., Cox, A., Tupling, C., Berger, M., & Yule, W. (1975) · British Journal of Psychiatry · doi:10.1192/bjp.126.6.493 · Cited by 770
Cited by
Leventhal, T., & Brooks-Gunn, J. (2000) · Psychological Bulletin · doi:10.1037/0033-2909.126.2.309 · Cited by 3,550
Socioeconomic Status and Health: What We Know and What We Don't
ADLER, N. E., & OSTROVE, J. M. (1999) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1999.tb08101.x · Cited by 1,643
Racial and ethnic disparities in birth outcomes: a life-course perspective
Lu, M. C., & Halfon, N. (2003) · Maternal and Child Health Journal · doi:10.1023/a:1022537516969 · Cited by 979
Race, race-based discrimination, and health outcomes among African Americans
Mays, V. M., Cochran, S. D., & Barnes, N. W. (2007) · Annual Review of Psychology · doi:10.1146/annurev.psych.57.102904.190212 · Cited by 889
Risk factors for low birth weight: a review
Valero de Bernabé, J., Soriano, T., Albaladejo, R., Juarranz, M., Calle, M. E., Martı́nez, D., & Domı́nguez-Rojas, V. (2004) · European Journal of Obstetrics & Gynecology and Reproductive Biology · doi:10.1016/j.ejogrb.2004.03.007 · Cited by 640
Metadata
- Authors
- O'Campo, P., Xue, X., Wang, M. C., & Caughy, M.
- Venue
- American Journal of Public Health
- Publisher
- American Public Health Association
- Published
- 1997-07
- Volume
- 87
- Issue
- 7
- Pages
- 1113-1118
- ISSN
- 0090-0036 (ISSN-L)
- 1541-0048
- OpenAlex
- W2149930175
- Cited by
- 462
- References
- 30
- FWCI
- 31.84
- Type
- journal article
- Language
- en
- Open access
- bronze
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- O'Campo, P., Xue, X., Wang, M. C., & Caughy, M. (1997). Neighborhood risk factors for low birthweight in Baltimore: a multilevel analysis. American Journal of Public Health. https://doi.org/10.2105/ajph.87.7.1113
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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