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. 2007 Nov-Dec;122(6):753-63.
doi: 10.1177/003335490712200607.

Potential implications of missing income data in population-based surveys: an example from a postpartum survey in California

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Potential implications of missing income data in population-based surveys: an example from a postpartum survey in California

Soowon Kim et al. Public Health Rep. 2007 Nov-Dec.

Abstract

Objectives: Income data are often missing for substantial proportions of survey participants and these records are often dropped from analyses. To explore the implications of excluding records with missing income, we examined characteristics of survey participants with and without income information.

Methods: Using statewide population-based postpartum survey data from the California Maternal and Infant Health Assessment, we compared the age, education, parity, marital status, timely prenatal care initiation, and neighborhood poverty characteristics of women with and without reported income data, overall, and by race/ethnicity/nativity.

Results: Overall, compared with respondents who reported income, respondents with missing income information generally appeared younger, less educated, and of lower parity. They were more likely to be unmarried, to have received delayed or no prenatal care, and to reside in poor neighborhoods; and they generally appeared more similar to lower- than higher-income women. However, the patterns appeared to vary by racial/ethnic/nativity group. For example, among U.S.-born African American women, the characteristics of the missing-income group were generally similar to those of low-income women, while European American women with missing income information more closely resembled their moderate-income counterparts.

Conclusions: Respondents with missing income information may not be a random subset of population-based survey participants and may differ on other relevant sociodemographic characteristics. Before deciding how to deal analytically with missing income information, researchers should examine relevant characteristics and consider how different approaches could affect study findings. Particularly for ethnically diverse populations, we recommend including a missing income category or employing multiple-imputation techniques rather than excluding those records.

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Figures

Figure 1
Figure 1
Selected maternal characteristics of childbearing women by income group among four race/ethnicity/nativity groups, Maternal and Infant Health Assessment, 1999–2004
Figure 2
Figure 2
Selected maternal characteristics of childbearing women by income group among race/ethnicity/nativity groups, Maternal and Infant Health Assessment, 1999–2004

Comment in

  • Implications of missing income data.
    Chen JT, Kaddour A, Krieger N. Chen JT, et al. Public Health Rep. 2008 May-Jun;123(3):260; author reply 260-1. doi: 10.1177/003335490812300303. Public Health Rep. 2008. PMID: 19006964 Free PMC article. No abstract available.

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References

    1. Lantz PM, House JS, Lepkowski JM, Williams DR, Mero RP, Chen J. Socioeconomic factors, health behaviors, and mortality: results from a nationally representative prospective study of US adults. JAMA. 1998;279:1703–8. - PubMed
    1. McDonough P, Duncan GJ, Williams D, House J. Income dynamics and adult mortality in the United States, 1972 through 1989. Am J Public Health. 1997;87:1476–83. - PMC - PubMed
    1. Rao SV, Schulman KA, Curtis LH, Gersh BJ, Jollis JG. Socioeconomic status and outcome following acute myocardial infarction in elderly patients. Arch Intern Med. 2004;164:1128–33. - PubMed
    1. Backlund E, Sorlie PD, Johnson NJ. The shape of the relationship between income and mortality in the United States. Evidence from the National Longitudinal Mortality Study. Ann Epidemiol. 1996;6:12–20. - PubMed
    1. Avendano M, Kunst AE, van Lenthe F, Box V, Valkonen T, Cardano M, et al. Trends in socioeconomic disparities in stroke mortality in six European countries between 1981–1985 and 1991–1995. Am J Epidemiol. 2005;161:52–61. - PubMed

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