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      Racial or Ethnic Health Disparities among Older Adults in Four Population Groups in South Africa

      research-article
      1 , 2 , , PhD, Dr. Habil 2 , 3
      Annals of Global Health
      Levy Library Press

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          Abstract

          Background:

          Racial or ethnic health disparities have been evidently apparent during the apartheid era in South Africa. This study aims to assess ethnic health disparities in four elderly population groups.

          Methods:

          Data for this study emanated from the 2008 study of “Global AGEing and adult health (SAGE) wave 1” (N = 3284) aged 50 years or older in South Africa. Associations between exposure variables and outcome variables (health status variables and chronic conditions) were examined through bivariate analyses and multivariable logistic regression.

          Results:

          Indians or Asians reported the highest prevalence of poor self-rated health (23.7%) and functional disability (11.6% and 29.1%). Coloureds had the lowest grip strength (55.3%) and Whites the highest cognitive functioning (80.1%). Coloureds had the highest prevalence of hypertension (85.0%), stroke and/or angina (15.0%), edentulism (26.8%) and low vision (50.6%); and Indians or Asians had the highest prevalence of arthritis (43.5%) and diabetes (24.4%). In adjusted analysis, Whites (Odds Ratio [OR]: 0.24, Confidence Interval [CI]: 0.11, 0.57) and Coloureds (OR: 0.50, CI: 0.29, 0.87) had lower odds of self-reported health status compared to Black Africans. Coloureds (OR: 0.36, CI: 0.22, 0.61) had lower odds of grip strength than Black Africans. Indians or Asians had higher odds of functional disability (OR: 1.87, CI: 1.03, 3.02) and diabetes (OR: 2.65, CI: 1.45, 4.83) than Black Africans. Whites (OR: 3.92, CI: 1.63, 9.41) and Coloureds (OR: 2.14, CI: 1.21, 3.78) had higher odds of cognitive functioning than Black Africans. Whites had lower odds (OR: 0.54, CI: 0.31, 0.93) and Indians or Asians had higher odds (OR: 1.91, CI: 1.91, 1.01, 3.59) of arthritis than Black Africans. Coloureds had a higher prevalence of hypertension (OR: 1.71, CI: 1.14, 2.58), stroke and/or angina (OR: 1.74, CI = 1.36, 2.22), edentulism (OR: 6.51, CI: 4.07, 10.41) and low vision (OR: 1.68, CI: 1.29, 2.19) than Black Africans.

          Conclusion:

          There are still ethnic health disparities in South Africa in the post-apartheid era (i.e., Black Africans [lower cognitive functioning], Whites [poor self-reported health status and edentulism], Coloureds [poor self-reported health status, lower grip strength, arthritis, hypertension, stroke and/or angina, edentulism and low vision], Indians or Asians [poor functional disability, arthritis and diabetes]). Understanding these ethnic health disparities may help in developing better strategies to improve health across population groups.

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          Most cited references38

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          The World Mental Health (WMH) Survey Initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI)

          This paper presents an overview of the World Mental Health (WMH) Survey Initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI) and a discussion of the methodological research on which the development of the instrument was based. The WMH‐CIDI includes a screening module and 40 sections that focus on diagnoses (22 sections), functioning (four sections), treatment (two sections), risk factors (four sections), socio‐demographic correlates (seven sections), and methodological factors (two sections). Innovations compared to earlier versions of the CIDI include expansion of the diagnostic sections, a focus on 12‐month as well as lifetime disorders in the same interview, detailed assessment of clinical severity, and inclusion of information on treatment, risk factors, and consequences. A computer‐assisted version of the interview is available along with a direct data entry software system that can be used to keypunch responses to the paper‐and‐pencil version of the interview. Computer programs that generate diagnoses are also available based on both ICD‐10 and DSM‐IV criteria. Elaborate CD‐ROM‐based training materials are available to teach interviewers how to administer the interview as well as to teach supervisors how to monitor the quality of data collection. Copyright © 2004 Whurr Publishers Ltd.
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            Race, socioeconomic status, and health: complexities, ongoing challenges, and research opportunities.

            This paper provides an overview of racial variations in health and shows that differences in socioeconomic status (SES) across racial groups are a major contributor to racial disparities in health. However, race reflects multiple dimensions of social inequality and individual and household indicators of SES capture relevant but limited aspects of this phenomenon. Research is needed that will comprehensively characterize the critical pathogenic features of social environments and identify how they combine with each other to affect health over the life course. Migration history and status are also important predictors of health and research is needed that will enhance understanding of the complex ways in which race, SES, and immigrant status combine to affect health. Fully capturing the role of race in health also requires rigorous examination of the conditions under which medical care and genetic factors can contribute to racial and SES differences in health. The paper identifies research priorities in all of these areas.
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              Prevalence and distribution of major depressive disorder in African Americans, Caribbean blacks, and non-Hispanic whites: results from the National Survey of American Life.

              Little is known about the relationship between race/ethnicity and depression among US blacks. To estimate the prevalence, persistence, treatment, and disability of depression in African Americans, Caribbean blacks, and non-Hispanic whites in the National Survey of American Life. A slightly modified adaptation of the World Health Organization World Mental Health version of the Composite International Diagnostic Interview. National household probability samples of noninstitutionalized African Americans, Caribbean blacks, and non-Hispanic whites in the United States conducted between February 2, 2001, and June 30, 2003. A total of 3570 African Americans, 1621 Caribbean blacks, and 891 non-Hispanic whites aged 18 years and older (N = 6082). Lifetime and 12-month diagnoses of DSM-IV major depressive disorder (MDD), 12-month mental health services use, and MDD disability as quantified using the Sheehan Disability Scale and the World Health Organization's Disability Assessment Schedule II. Lifetime MDD prevalence estimates were highest for whites (17.9%), followed by Caribbean blacks (12.9%) and African Americans (10.4%); however, 12-month MDD estimates across groups were similar. The chronicity of MDD was higher for both black groups (56.5% for African Americans and 56.0% for Caribbean blacks) than for whites (38.6%). Fewer than half of the African Americans (45.0%) and fewer than a quarter (24.3%) of the Caribbean blacks who met the criteria received any form of MDD therapy. In addition, relative to whites, both black groups were more likely to rate their MDD as severe or very severe and more disabling. When MDD affects African Americans and Caribbean blacks, it is usually untreated and is more severe and disabling compared with that in non-Hispanic whites. The burden of mental disorders, especially depressive disorders, may be higher among US blacks than in US whites.
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                Author and article information

                Contributors
                Journal
                Ann Glob Health
                Ann Glob Health
                2214-9996
                Annals of Global Health
                Levy Library Press
                2214-9996
                30 April 2018
                2018
                : 84
                : 1
                : 7-14
                Affiliations
                [1 ]Office of Deputy Vice Chancellor, Research and Innovation, North West University, Potchestroom, ZA
                [2 ]HIV/AIDS/STIs and TB (HAST), Human Sciences Research Council, Pretoria 0001, ZA
                [3 ]Department of Research and Innovation, University of Limpopo, Sovenga 0727, ZA
                Author notes
                Corresponding author: Karl Peltzer, PhD, Dr. Habil ( kpeltzer@ 123456hsrc.ac.za )
                Article
                10.29024/aogh.13
                6748227
                30873780
                340a2835-50e2-452a-b277-23f94a61cd06
                Copyright: © 2018 The Author(s)

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.

                History
                Funding
                Funding was provided predominantly from the National Department of Health, with additional funding provided by the United States National Institute on Aging through an interagency agreement with the World Health Organization and the Human Sciences Research Council, South Africa.
                Categories
                Original Research

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