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Latent class model characterization of neighborhood socioeconomic status

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Abstract

Purpose

Neighborhood-level socioeconomic status (NSES) can influence breast cancer mortality and poorer health outcomes are observed in deprived neighborhoods. Commonly used NSES indexes are difficult to interpret. Latent class models allow for alternative characterization of NSES for use in studies of cancer causes and control.

Methods

Breast cancer data was from a cohort of women diagnosed at an academic medical center in Philadelphia, PA. NSES variables were defined using Census data. Latent class modeling was used to characterize NSES.

Results

Complete data was available for 1,664 breast cancer patients diagnosed between 1994 and 2002. Two separate latent variables, each with 2-classes (LC2) best represented NSES. LC2 demonstrated strong associations with race and tumor stage and size.

Conclusions

Latent variable models identified specific characteristics associated with advantaged or disadvantaged neighborhoods, potentially improving our understanding of the impact of socioeconomic influence on breast cancer prognosis. Improved classification will enhance our ability to identify vulnerable populations and prioritize the targeting of cancer control efforts.

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Acknowledgments

This research was supported by Grants from Susan G. Komen for the Cure,© Investigator-Initiated Grant No. KG110710 (A.P., Y.M., T.H.) and Promise Grant No. KG091116 from Komen for the Cure (T.H).

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Authors and Affiliations

  1. Department of Epidemiology and Biostatistics, Drexel University, Nesbitt Hall, 3215 Market St, 5th Floor, Philadelphia, PA, 19104, USA

    Aimee Palumbo & Yvonne Michael

  2. Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA

    Terry Hyslop

  3. Duke Cancer Institute, Durham, NC, USA

    Terry Hyslop

Authors
  1. Aimee Palumbo
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  2. Yvonne Michael
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  3. Terry Hyslop
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Corresponding author

Correspondence to Aimee Palumbo.

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The authors declare that they have no conflict of interest.

Appendix

Appendix

See Table 3.

Table 3 Model fit parameters for latent class analysis
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Palumbo, A., Michael, Y. & Hyslop, T. Latent class model characterization of neighborhood socioeconomic status. Cancer Causes Control 27, 445–452 (2016). https://doi.org/10.1007/s10552-015-0711-4

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