The impact of ethnicity and its definition on diabetes prevalence: A national Australian whole-of-population study
Authors' conclusion
There wastwo-four-fold variation in diabetes prevalence between populations within four geographical regions. Aggregating ethnicity into large geographic regional groups may incorrectly estimate diabetes risk.
Study context
- Population
- Adults ≥20 years responding to the 2021 Australian National Census, with self-reported health data
- Participants
- 17.5 million adults
- Outcome
- Ethnicity-specific diabetes prevalence, age/sex-standardised; intra-regional variation within large geographic regions
Methodological detailswhole-of-population, national census, age/sex-standardised
- Whole-of-population
- National census
- Age/sex-standardised
Main finding
As reported in the abstract
Age/sex-standardised diabetes prevalence by single ancestry
- Intra-regional variation in diabetes risk within four geographical regions
- two-four-fold
- East Asian: Japanese
- 4.2%
- East Asian: Thai
- 6.1%
- East Asian: Filipino
- 12.6%
- South/Central Asian: Armenian
- 7.3%
- South/Central Asian: Bangladeshi
- 18.4%
- Middle Eastern/North African: Jewish
- 5.4%
- Middle Eastern/North African: Iraqi
- 12.3%
- Oceania: Australian Aboriginal
- 17.5%
- Oceania: Fijian
- 12.3%
- Oceania: Maori
- 10.0%
- Oceania: Samoan
- 16.3%
- Oceania: Tongan
- 17.4%
- Australian prevalence
- 6.3%
Observational data: associations, not effects.
Original publication
The impact of ethnicity and its definition on diabetes prevalence: A national Australian whole-of-population study. Diabetes Res Clin Pract. Published 20 November 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →