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Racial, ethnic differences in complementary and integrative health use among adults with mental illness: Results from the 2017 National Health Interview Survey

Published online by Cambridge University Press:  07 May 2021

Lee Za Ong*
Affiliation:
Department of Counselor Education and Counseling Psychology, Marquette University, P.O. Box 1881, Milwaukee, WI 53201-1881, USA
Karisse A. Callender
Affiliation:
Department of Counselor Education and Counseling Psychology, Marquette University, P.O. Box 1881, Milwaukee, WI 53201-1881, USA
Kacie M. Blalock
Affiliation:
Department of Psychology, Louisiana State University Shreveport, One University Place, Shreveport, LA 71115, USA
Jerome J. Holzbauer
Affiliation:
1744 North 58th Street, Milwaukee, WI 53208-1618, USA
*
*Corresponding author. Email: leeza.ong@marquette.edu

Abstract

The purpose of this study was to examine the patterns of complementary and integrative health (CIH) use among adults with a racial/ethnic minority background and a mental illness. A secondary data analysis of 2017 National Health Interview Survey (N = 793) was conducted using chi-square, multivariate logistic regression, and multinomial logistic regression. Overall, Black/African Americans and Hispanic/Latinx groups remained the least proportional of CIH therapies utilization. Being a male, Black/African American or Latinx/Hispanic and had work experience were predictors of the least use of the CIH therapies. Research is needed to bridge the gaps on the CIH use among a racial/ethnic minority with mental illness and to enhance the equitable and collaborative mental health care in the community.

Information

Type
Articles
Copyright
© The Author(s) 2021. Published by Cambridge University Press and The Australian Journal of Rehabilitation Counselling
Figure 0

Table 1. Complementary and integrative health (CIH) therapies

Figure 1

Table 2. Sociodemographic characteristics of participants and CIH use by race/ethnicity (N = 793)

Figure 2

Table 3. Prevalence of past year CIH use by CIH type and race/ethnicity

Figure 3

Table 4. Logistic regression analysis: predictive factors and any CIH use

Figure 4

Table 5. Multinomial logistic regression: predictive factors and CIH types