Test environment running 7.6.6

Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Chronic kidney disease and socio-economic status

Abstract

Objective: This cross-sectional study investigated the relationship between individual-level markers of disadvantage, renal function and cardio-metabolic risk within an Indigenous population characterised by a heavy burden of chronic kidney disease and disadvantage. Design: Using data from 20 Indigenous communities across Australia, an aggregate socio-economic status (SES) score was created from individual-level socio-economic variables reported by participants. Logistic regression was used to assess the association of individual-level socio-economic variables and the SES score with kidney function (an estimated glomerular function rate (eGFR) cut-point of <60 ml/min/1.73 m2) as well as clinical indicators of cardio-metabolic risk. Results: The combination of lower education and unemployment was associated with poorer kidney function and higher cardio-metabolic risk factors. Regression models adjusted for age and gender showed that an eGFR < 60 ml/min/1.73 m2 was associated with a low socio-economic score (lowest vs. highest 3.24 [95% CI 1.43–6.97]), remote living (remote vs. highly to moderately accessible 3.24 [95% CI 1.28–8.23]), renting (renting vs. owning/being purchased 5.76[95% CI 1.91–17.33]), unemployment (unemployed vs employed 2.85 [95% CI 1.31–6.19]) and receiving welfare (welfare vs. salary 2.49 [95% CI 1.42–4.37]). A higher aggregate socio-economic score was inversely associated with an eGFR < 60 ml/min/1.73 m2 (0.75 [95% CI 063–0.89]). Conclusion: This study extends upon our understanding of associations between area-level markers of disadvantage and burden of end stage kidney disease amongst Indigenous populations to a detailed analysis of a range of well-characterised individual-level factors such as overall low socio-economic status, remote living, renting, unemployment and welfare. With the increasing burden of end-stage kidney disease amongst Indigenous people, the underlying socio-economic conditions and social and cultural determinants of health need to be understood at an individual as well as community-level, to develop, implement, target and sustain interventions.

Description

Citation

Source

Ethnicity and Health

Book Title

Entity type

Access Statement

License Rights

Restricted until