Abstract
Census data are widely used for assessing neighborhood socioeconomic context. Research using census data has been inconsistent in variable choice and usually limited to single geographic areas. This paper seeks to a) outline a process for developing a neighborhood deprivation index using principal components analysis and b) demonstrate an example of its utility for identifying contextual variables that are associated with perinatal health outcomes across diverse geographic areas. Year 2000 U.S. Census and vital records birth data (1998–2001) were merged at the census tract level for 19 cities (located in three states) and five suburban counties (located in three states), which were used to create eight study areas within four states. Census variables representing five socio-demographic domains previously associated with health outcomes, including income/poverty, education, employment, housing, and occupation, were empirically summarized using principal components analysis. The resulting first principal component, hereafter referred to as neighborhood deprivation, accounted for 51 to 73% of the total variability across eight study areas. Component loadings were consistent both within and across study areas (0.2–0.4), suggesting that each variable contributes approximately equally to “deprivation” across diverse geographies. The deprivation index was associated with the unadjusted prevalence of preterm birth and low birth weight for white non-Hispanic and to a lesser extent for black non-Hispanic women across the eight sites. The high correlations between census variables, the inherent multidimensionality of constructs like neighborhood deprivation, and the observed associations with birth outcomes suggest the utility of using a deprivation, index for research into neighborhood effects on adverse birth outcomes.
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Notes
Education included percent males and females with less than a high school education. Employment variables include percent males and females unemployed and percent males no longer in work force. Housing variables include percent rented, percent vacant, percent crowded, percent renter or owner costs in excess of 50% of income, and median household value. Occupation variables include: percent males in management, percent males in professional occupations, percent females in management, and percent females in professional occupations. Poverty variables include percent households in poverty, percent female headed households with dependent children, percent households earning under $30,000 per year, percent households on public assistance, and percent households with no car. Racial composition was estimated using percent residents who were non-Hispanic blacks. Residential stability variables include percent in same residence since 1995 and percent residents 65 years and above.
For FA, a moderate correlation (0.50) represents the minimum loading thought to denote one factor. For PCA, no minimum-loading recommendations are established because the amount of variance explained and subsequent component loading will differ based on the number of variables included in the PCA and the magnitude of error variance.
Three of the 64 (0.05) possible lower 95% confidence limits failed to meet this 0.16 criteria for inclusion.
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Acknowledgments
Financial and technical support for this study was provided by the NHEERL—DESE Cooperative Training in Environmental Sciences Research, EPA CT 829471 and The Maternal and Child Health Bureau of the Health Resources and Services Administration, U. S. Department of Health and Human Services. Many thanks to Lisa Vinikoor for her work on the project and to Robert DeVellis, who reviewed an earlier version of this manuscript. The authors are indebted to Michael Kogan (MCHB/HRSA), John Park (formerly of MCHB), Mary Kay Kenney (MCHB/HRSA), Paul Buescher (North Carolina State Center for Health Statistics), Violanda Grigorescu (Office of Vital and Health Statistics, Michigan Department of Community Health), Brian Castrucci (Philadelphia Department of Public Health, Division of Maternal, Child, and Family Health) and Isabelle Horon (Vital Statistics Administration, Maryland Department of Health and Mental Hygiene). Jennifer Culhane, Claudia Holzman, Barbara Laraia, and Patricia O’Campo are principal investigators and share equal responsibility for this project.
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Messer, L.C., Laraia, B.A., Kaufman, J.S. et al. The Development of a Standardized Neighborhood Deprivation Index. J Urban Health 83, 1041–1062 (2006). https://doi.org/10.1007/s11524-006-9094-x
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DOI: https://doi.org/10.1007/s11524-006-9094-x