Joanna Y Gong, Agus Salim, Spiros Fourlanos, Dianna J Magliano, Jonathan E Shaw
{"title":"种族及其定义对糖尿病患病率的影响:澳大利亚全国人口研究。","authors":"Joanna Y Gong, Agus Salim, Spiros Fourlanos, Dianna J Magliano, Jonathan E Shaw","doi":"10.1016/j.diabres.2024.111937","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>We assessed the extent to which using large geographic regions to group ethnicities (ancestries or countries-of-birth) masked intra-regional variation in diabetes risk.</p><p><strong>Methods: </strong>We performed a cross-sectional analysis of the 2021 Australian National Census, which included self-reported health data. Ethnicity-specific diabetes prevalence was age/sex-standardised to a reference population of all census respondents 20 years and above.</p><p><strong>Results: </strong>There were 17.5 million adults included in this study. Within four geographical regions, there wastwo-four-fold intra-regional variation in diabetes risk. Diabetes prevalence among people reporting a single East Asianancestry ranged from less than the Australian prevalence (Japanese 4.1%, Thai 6.1%) to twice the Australian prevalence (Filipino 12.2%). Among peoplereporting a single South/Central Asianancestry, diabetes prevalence ranged from 7.1% (Armenian) to 18.9% (Bangladeshi). Among people reporting a single Middle Eastern/North African ancestry, diabetes prevalence values rangedfrom 5.4% (Jewish) to 12.0% (Iraqi). In Oceania, the diabetes prevalence in people of Australian Aboriginal, Fijian, Maori, Samoan and Tongan ancestry was greater than the Australian prevalence(16.7%, 11.9%, 9.9%, 16.0% and 16.6%, respectively versus 6.1%).</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":" ","pages":"111937"},"PeriodicalIF":6.1000,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The impact of ethnicity and its definition on diabetes prevalence: A national Australian whole-of-population study.\",\"authors\":\"Joanna Y Gong, Agus Salim, Spiros Fourlanos, Dianna J Magliano, Jonathan E Shaw\",\"doi\":\"10.1016/j.diabres.2024.111937\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aims: </strong>We assessed the extent to which using large geographic regions to group ethnicities (ancestries or countries-of-birth) masked intra-regional variation in diabetes risk.</p><p><strong>Methods: </strong>We performed a cross-sectional analysis of the 2021 Australian National Census, which included self-reported health data. Ethnicity-specific diabetes prevalence was age/sex-standardised to a reference population of all census respondents 20 years and above.</p><p><strong>Results: </strong>There were 17.5 million adults included in this study. Within four geographical regions, there wastwo-four-fold intra-regional variation in diabetes risk. Diabetes prevalence among people reporting a single East Asianancestry ranged from less than the Australian prevalence (Japanese 4.1%, Thai 6.1%) to twice the Australian prevalence (Filipino 12.2%). Among peoplereporting a single South/Central Asianancestry, diabetes prevalence ranged from 7.1% (Armenian) to 18.9% (Bangladeshi). Among people reporting a single Middle Eastern/North African ancestry, diabetes prevalence values rangedfrom 5.4% (Jewish) to 12.0% (Iraqi). In Oceania, the diabetes prevalence in people of Australian Aboriginal, Fijian, Maori, Samoan and Tongan ancestry was greater than the Australian prevalence(16.7%, 11.9%, 9.9%, 16.0% and 16.6%, respectively versus 6.1%).</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":11249,\"journal\":{\"name\":\"Diabetes research and clinical practice\",\"volume\":\" \",\"pages\":\"111937\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2024-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Diabetes research and clinical practice\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.diabres.2024.111937\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetes research and clinical practice","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.diabres.2024.111937","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
The impact of ethnicity and its definition on diabetes prevalence: A national Australian whole-of-population study.
Aims: We assessed the extent to which using large geographic regions to group ethnicities (ancestries or countries-of-birth) masked intra-regional variation in diabetes risk.
Methods: We performed a cross-sectional analysis of the 2021 Australian National Census, which included self-reported health data. Ethnicity-specific diabetes prevalence was age/sex-standardised to a reference population of all census respondents 20 years and above.
Results: There were 17.5 million adults included in this study. Within four geographical regions, there wastwo-four-fold intra-regional variation in diabetes risk. Diabetes prevalence among people reporting a single East Asianancestry ranged from less than the Australian prevalence (Japanese 4.1%, Thai 6.1%) to twice the Australian prevalence (Filipino 12.2%). Among peoplereporting a single South/Central Asianancestry, diabetes prevalence ranged from 7.1% (Armenian) to 18.9% (Bangladeshi). Among people reporting a single Middle Eastern/North African ancestry, diabetes prevalence values rangedfrom 5.4% (Jewish) to 12.0% (Iraqi). In Oceania, the diabetes prevalence in people of Australian Aboriginal, Fijian, Maori, Samoan and Tongan ancestry was greater than the Australian prevalence(16.7%, 11.9%, 9.9%, 16.0% and 16.6%, respectively versus 6.1%).
Conclusions: 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.
期刊介绍:
Diabetes Research and Clinical Practice is an international journal for health-care providers and clinically oriented researchers that publishes high-quality original research articles and expert reviews in diabetes and related areas. The role of the journal is to provide a venue for dissemination of knowledge and discussion of topics related to diabetes clinical research and patient care. Topics of focus include translational science, genetics, immunology, nutrition, psychosocial research, epidemiology, prevention, socio-economic research, complications, new treatments, technologies and therapy.