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Cited by 79Indigenous Health, Education, and RightsRacial and Ethnic Identity ResearchHealth disparities and outcomes

Exploring relationships between racism, housing and child illness in remote indigenous communities

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Priest, Naomi, Paradies, Yin, Stevens, Matthew, Bailie, Ross·2012·Journal of Epidemiology and Community Health
DOI 10.1136/jech.2010.117366
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Abstract

BACKGROUND: Although racism is increasingly acknowledged as a determinant of health, few studies have examined the relationship between racism, housing and child health outcomes. METHODS: Cross-sectional data from the Housing Improvement and Child Health study collected in ten remote indigenous communities in the Northern Territory, Australia were analysed using hierarchical logistic regression. Carer and householder self-reported racism was measured using a single item and child illness was measured using a carer report of common childhood illnesses. A range of confounders, moderators and mediators were considered, including socio-demographic and household composition, psychosocial measures for carers and householders, community environment, and health-related behaviour and hygienic state of environment. RESULTS: Carer self-reported racism was significantly associated with child illness in this sample after adjusting for confounders (OR 1.65; 95% CI 1.09 to 2.48). Carer negative affect balance was identified as a significant mediator of this relationship. Householder self-reported racism was marginally significantly associated with child illness in this sample after adjusting for confounders (OR 1.43; 95% CI 0.94 to 2.18, p=0.09). Householder self-reported drug use was identified as a significant mediator of this relationship. CONCLUSIONS: Consistent with evidence from adult populations and children from other ethnic minorities, this study found that vicarious racism is associated with poor health outcomes among an indigenous child population.

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  • The relatively weaker association found in studies using indirect measures may stem from the relatively under-developed nature of measurement approaches to date.

    “Finally, the relatively weaker association found in studies using indirect measures (e.g., group and vicarious exposures to racism) may stem from the relatively under-developed nature of measurement approaches to date (e.g., [295, 430, 431]), highlighting a need for further development.”

    From Racism as a Determinant of Health: A Systematic Review and Meta-Analysis (2015) · cites this paper as [295]

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Authors
Priest, N., Paradies, Y., Stevens, M., & Bailie, R.
Affiliations
  • The University of Melbourne (AU)
  • Charles Darwin University (AU)
Corresponding author
Priest, Naomi
ORCID
Venue
Journal of Epidemiology and Community Health
Publisher
BMJ
Published
2010-11-30
Volume
66
Issue
5
Pages
440-447
ISSN
  • 0141-7681 (ISSN-L)
  • 0143-005X
  • 1470-2738
DOI
10.1136/jech.2010.117366
OpenAlex
W2120546915
Cited by
79
References
34
Citations by year
2026: 1 · 2025: 1 · 2023: 3 · 2022: 4 · 2021: 11 · 2020: 5 · 2019: 13 · 2018: 3 · 2017: 8 · 2016: 6 · 2015: 4 · 2014: 8 · 2013: 4 · 2012: 6
FWCI
3.90
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Journal of Epidemiology & Community Health (publishedVersion)
  • PubMed (publishedVersion)
  • Figshare (submittedVersion, cc-by)
  • Scholarship@Western (Western University) (submittedVersion)
Topics
  • Social Sciences › Health › Indigenous Health, Education, and Rights
  • Social Sciences › Sociology and Political Science › Racial and Ethnic Identity Research
  • Social Sciences › Health › Health disparities and outcomes
Keywords
racism, vicarious racism, child illness, child health, housing, remote Indigenous communities, Aboriginal and Torres Strait Islander children, caregiver mental health, housing conditions, Northern Territory
MeSH terms
Adult, Australia, Child, Child Health Services, Cross-Sectional Studies, Female, Health Services Accessibility, Health Status, Health Status Indicators, Housing, Humans, Male, Minority Groups, Prejudice, Surveys and Questionnaires, Residence Characteristics, Rural Population, Socioeconomic Factors, Travel, Logistic Models, Caregivers, Population Groups, Self Report

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