Neighborhood socioeconomic deprivation has
been associated with health behaviors and outcomes. However, neighborhood
socioeconomic status has been measured inconsistently across studies. It
remains unclear whether appropriate socioeconomic indicators vary over
geographic areas and geographic levels. The aim of this study is to compare the
composite socioeconomic index to six socioeconomic indicators reflecting
different aspects of socioeconomic environment by both geographic areas and
levels. Using 2000 U.S. Census data, we performed a multivariate common factor
analysis to identify significant socioeconomic resources and constructed 12
composite indexes at the county, the census tract, and the block group levels
across the nation and for three states, respectively. We assessed the agreement
between composite indexes and single socioeconomic variables. The component of
the composite index varied across geographic areas. At a specific geographic
region, the component of the composite index was similar at the levels of
census tracts and block groups but different from that at the county level. The
percentage of population below federal poverty line was a significant
contributor to the composite index, regardless of geographic areas and levels.
Compared with non-component socioeconomic indicators, component variables were
more agreeable to the composite index. Based on these findings, we conclude
that a composite index is better as a measure of neighborhood socioeconomic
deprivation than a single indicator, and it should be constructed on an area-
and unit-specific basis to accurately identify and quantify small-area
socioeconomic inequalities over a specific study region.
References
[1]
Dailey, A.B., Kasl, S.V., Holford, T.R., Calvocoressi, L. and Jones, B.A. (2007) Neighborhood-Level Socioeconomic Predictors of Nonadherence to Mammography Screening Guidelines. Cancer Epidemiology, Biomarkers & Prevention: A Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology, 16, 2293-2303. http://dx.doi.org/10.1158/1055-9965.EPI-06-1076
[2]
Shishehbor, M.H., Gordon-Larsen, P., Kiefe, C.I. and Litaker, D. (2008) Association of Neighborhood Socioeconomic Status with Physical Fitness in Healthy Young Adults: The Coronary Artery Risk Development in Young Adults (CARDIA) Study. American Heart Journal, 55, 699-705. http://dx.doi.org/10.1016/j.ahj.2007.07.055
[3]
Mathur, C., Erickson, D.J., Stigler, M.H., Forster, J.L. and Finnegan Jr., J.R. (2013) Individual and Neighborhood Socioeconomic Status Effects on Adolescent Smoking: A Multilevel Cohort-Sequential Latent Growth Analysis. American Journal of Public Health, 103, 543-548. http://dx.doi.org/10.2105/AJPH.2012.300830
[4]
Cohen, S.S., Sonderman, J.S., Mumma, M.T., Signorello, L.B. and Blot, W.J. (2011) Individual and Neighborhood-Level Socioeconomic Characteristics in Relation to Smoking Prevalence among Black and White Adults in the Southeastern United States: A Cross-Sectional Study. BMC Public Health, 11, 877.
http://dx.doi.org/10.1186/1471-2458-11-877
[5]
Krieger, N., Chen, J.T., Waterman, P.D., Soobader, M.J., Subramanian, S.V. and Carson, R. (2002) Geocoding and Monitoring of US Socioeconomic Inequalities in Mortality and Cancer Incidence: Does the Choice of Area-Based Measure and Geographic Level Matter?: The Public Health Disparities Geocoding Project. American Journal of Epidemiology, 156, 471-482. http://dx.doi.org/10.1093/aje/kwf068
[6]
Kim, D., Masyn, K.E., Kawachi, I., Laden, F. and Colditz, G.A. (2010) Neighborhood Socioeconomic Status and Behavioral Pathways to Risks of Colon and Rectal Cancer in Women. Cancer, 116, 4187-4196.
http://dx.doi.org/10.1002/cncr.25195
[7]
Palmer, J.R., Boggs, D.A., Wise, L.A., Adams-Campbell, L.L. and Rosenberg, L. (2012) Individual and Neighborhood Socioeconomic Status in Relation to Breast Cancer Incidence in African-American Women. American Journal of Epidemiology, 176, 1141-1146. http://dx.doi.org/10.1093/aje/kws211
[8]
Gerber, Y., Koton, S., Goldbourt, U., Myers, V., Benyamini, Y., Tanne, D., et al. (2011) Poor Neighborhood Socioeconomic Status and Risk of Ischemic Stroke after Myocardial Infarction. Epidemiology, 22, 162-169.
http://dx.doi.org/10.1097/EDE.0b013e31820463a3
[9]
Bosma, H., van de Mheen, H.D., Borsboom, G.J. and Mackenbach, J.P. (2001) Neighborhood Socioeconomic Status and All-Cause Mortality. American Journal of Epidemiology, 153, 363-371. http://dx.doi.org/10.1093/aje/153.4.363
[10]
Singh, G.K. (2003) Area Deprivation and Widening Inequalities in US Mortality, 1969-1998. American Journal of Public Health, 93, 1137-1143. http://dx.doi.org/10.2105/AJPH.93.7.1137
[11]
Doubeni, C.A., Schootman, M., Major, J.M., Stone, R.A., Laiyemo, A.O., Park, Y., et al. (2012) Health Status, Neighborhood Socioeconomic Context, and Premature Mortality in the United States: The National Institutes of Health-AARP Diet and Health Study. American Journal of Public Health, 102, 680-688.
http://dx.doi.org/10.2105/AJPH.2011.300158
[12]
Foraker, R.E., Patel, M.D., Whitsel, E.A., Suchindran, C.M., Heiss, G. and Rose, KM. (2013) Neighborhood Socioeconomic Disparities and 1-Year Case Fatality after Incident Myocardial Infarction: The Atherosclerosis Risk in Communities (ARIC) Community Surveillance (1992-2002). American Heart Journal, 165, 102-107.
http://dx.doi.org/10.1016/j.ahj.2012.10.022
[13]
Zhang-Salomons, J., Qian, H., Holowaty, E. and Mackillop, W.J. (2006) Associations between Socioeconomic Status and Cancer Survival: Choice of SES Indicator May Affect Results. Annals of Epidemiology, 16, 521-528.
http://dx.doi.org/10.1016/j.annepidem.2005.10.002
[14]
Diez-Roux, A.V., Kiefe, C.I., Jacobs Jr., D.R., Haan, M., Jackson, S.A., Nieto, F.J., et al. (2001) Area Characteristics and Individual-Level Socioeconomic Position Indicators in Three Population-Based Epidemiologic Studies. Annals of Epidemiology, 11, 395-405. http://dx.doi.org/10.1016/S1047-2797(01)00221-6
[15]
Messer, L.C., Laraia, B.A., Kaufman, J.S., Eyster, J., Holzman, C., Culhane, J., et al. (2006) The Development of a Standardized Neighborhood Deprivation Index. Journal of Urban Health, 83, 1041-1062.
http://dx.doi.org/10.1007/s11524-006-9094-x
[16]
Lian, M., Schootman, M., Doubeni, C.A., Park, Y., Major, J.M., Torres Stone, R.A., et al. (2011) Geographic Variation in Colorectal Cancer Survival and the Role of Small-Area Socioeconomic Deprivation: A Multilevel Survival Analysis of the NIH-AARP Diet and Health Study Cohort. American Journal of Epidemiology, 174, 828-838.
http://dx.doi.org/10.1093/aje/kwr162
[17]
Feinstein, A.R. and Cicchetti, D.V. (1990) High Agreement But Low Kappa: I. The Problems of Two Paradoxes. Journal of Clinical Epidemiology, 43, 543-549. http://dx.doi.org/10.1016/0895-4356(90)90158-L
[18]
Landis, J.R. and Koch, G.G. (1977) The Measurement of Observer Agreement for Categorical Data. Biometrics, 33, 159-174. http://dx.doi.org/10.2307/2529310