[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-449104-105":59,"doc-detail-449104-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","understanding-intersectionality-to-support-planning-for-diabetes-prevention-and-control-among-migrants-in-australia","Understanding intersectionality to support planning for diabetes prevention and control among migrants in Australia","","Investigating diabetes prevalence among migrant groups in Australia, the study assesses sociodemographic characteristics to inform health planning. Using whole-population 2021 Australian census data and focusing on adults aged 30+, it calculates age-standardised prevalence and prevalence ratios and describes comorbidities among people with diabetes. Results show 41% of the diabetes population are migrants, with prevalence varying markedly by region of origin, and distinct patterns in long-term conditions, English proficiency, education, and income.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/understanding-intersectionality-to-support-planning-for-diabetes-prevention-and-control-among-migrants-in-australia/449104/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/understanding-intersectionality-to-support-planning-for-diabetes-prevention-and-control-among-migrants-in-australia/449104.png","ImageObject",300,407,{"name":92,"@type":93},"Dipper","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-03","2026-09-30",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",12,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What was the study aim regarding migrants and diabetes in Australia?","Question",{"text":113,"@type":114},"The study examined diabetes prevalence across migrant groups and their sociodemographic characteristics to guide diabetes-related health planning.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How were diabetes prevalence measures calculated?",{"text":118,"@type":114},"The analysis used whole-population 2021 Australian census data for people aged 30+ and computed age-standardised prevalence (ASP) and age-standardised prevalence ratio (ASPR).",{"name":120,"@type":111,"acceptedAnswer":121},"What key findings relate intersectionality to diabetes outcomes among migrants?",{"text":122,"@type":114},"Diabetes prevalence and the characteristics of people with diabetes varied by migrant group. Considering intersectionality was identified as a way to improve diabetes-related outcomes.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},449104,1790937030,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":14,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":24,"preview_page_count":4},1374404997633,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","vi144 European Journal of Public Health, Vol. 35, Supplement 6, 2025  \nAbstract citation ID: ckaf180 .402  \n104 Understanding intersectionality to support planning for diabetes prevention and control among migrants in Australia  \nDavoud Pourmarzi1  \n1National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia  \nEP3.4, e-Poster Terminal 3, September 4, 2025, 11:35-13:00  \nAim: We investigated the prevalence of diabetes among different groups of migrants in Australia and their sociodemographic characteristics to guide health planning.  \nMethods: We used whole population data from 2021 Australian census and analysed data from people aged 􀀁 30. Age-standardised prevalence (ASP) and age-standardised prevalence ratio (ASPR) of diabetes were calculated. Among those with diabetes, we reported sociodemographic characteristics and comorbidities.  \nResults: 41% of the population with diabetes were migrants. Of those, 40% were born in Europe. The prevalence of diabetes ranged  \n2nd World Congress on Migration, Ethnicity, Race & Health Abstract Book vi145  \nfrom 5.3%(migrants from Northeast Asia) to 14.4%(migrants from Oceania) and was higher among males and people aged 70-85 . ASP was higher than Australian-born (ASPR:1.4-2.2) among migrants from Southeast Asia, North Africa and Middle East, Southern and Central Asia, and Oceania.  \nAmong migrants with diabetes, a range of 10.4%(migrants from Northeast Asia) to 32%(migrants from North-West Europe) had 􀀁 3 long-term health conditions. Percentage of people with \u003C10 years ago arrival ranged from 0.6%(migrants from Southern and Eastern Europe) to 14.9%(migrants from Northeast Asia) . The highest percentage of low English proficiency was observed among migrants from Northeast Asia (55.2%) . A range of 0.4% (migrants from North-West Europe) to 13.3%(migrants from North Africa and Middle East) did not go to school, and 38.5%(migrants from SubSahara Africa) to 66.2% (migrants from Southern and Eastern Europe) had \u003C$500 weekly income. Among groups with ASPR> 1 who had low English language proficiency, a range of 8%(born in Oceania) to 29%(born in North Africa and Middle East) had \u003C$500 weekly income, and 2%(born in Oceania) to 10%(born in North Africa and Middle East) did not go to school.  \nConclusion: The prevalence of diabetes and sociodemographic characteristics of those with diabetes vary among migrant groups.  \nConsidering intersectionality can improve diabetes-related outcomes among migrants.","cbCaia5HZosmtxtB","https://ap.wps.com/l/cbCaia5HZosmtxtB","pdf",50219,"English","# Aim\n## Methods\n## Results\n## Conclusion","[{\"question\":\"What was the study aim regarding migrants and diabetes in Australia?\",\"answer\":\"The study examined diabetes prevalence across migrant groups and their sociodemographic characteristics to guide diabetes-related health planning.\"},{\"question\":\"How were diabetes prevalence measures calculated?\",\"answer\":\"The analysis used whole-population 2021 Australian census data for people aged 30+ and computed age-standardised prevalence (ASP) and age-standardised prevalence ratio (ASPR).\"},{\"question\":\"What key findings relate intersectionality to diabetes outcomes among migrants?\",\"answer\":\"Diabetes prevalence and the characteristics of people with diabetes varied by migrant group. Considering intersectionality was identified as a way to improve diabetes-related outcomes.\"}]","Understanding intersectionality to support planning for diabetes prevention and control among migrants in Australia | PDF",1790729367]