TY - JOUR
T1 - Prevalence, incidence and risk factors of diabetes in Australian adults aged ≥45 years
T2 - A cohort study using linked routinely-collected data
AU - Zhang, Hongmei
AU - Rogers, Kris
AU - Sukkar, Louisa
AU - Jun, Min
AU - Kang, Amy
AU - Young, Tamara
AU - Campain, Anna
AU - Cass, Alan
AU - Chow, Clara K.
AU - Comino, Elizabeth
AU - Foote, Celine
AU - Gallagher, Martin
AU - Knight, John
AU - Liu, Bette
AU - Lung, Thomas
AU - McNamara, Martin
AU - Peiris, David
AU - Pollock, Carol
AU - Sullivan, David
AU - Wong, Germaine
AU - Zoungas, Sophia
AU - Jardine, Meg
AU - Hockham, Carinna
PY - 2020/12
Y1 - 2020/12
N2 - Aims: To use linked routinely-collected health data to estimate diabetes prevalence and incidence in an Australian cohort of adults aged ≥45 years, and examine risk factors associated with incident disease. Research design and methods: The EXamining ouTcomEs in chroNic Disease in the 45 and Up Study (EXTEND45) Study is a linked data study that combines baseline questionnaire responses from the population-based 45 and Up Study (2006–2009, n = 267,153) with multiple routinely-collected health databases up to December 2014. Among participants with ≥1 linked result for any laboratory test, diabetes status was determined from multiple data sources according to standard biochemical criteria, use of glucose-lowering medication or self-report, and the prevalence and incidence rate calculated. Independent risk factors of incident diabetes were examined using multivariable Cox regression. Results: Among 152,169 45 and Up Study participants with ≥1 linked laboratory result in the EXTEND45 database (mean age 63.0 years; 54.9% female), diabetes prevalence was 10.8% (95% confidence interval [CI] 10.6%–10.9%). Incident disease in those without diabetes at baseline (n = 135,810; mean age 62.5 years; 56.1% female) was 10.0 per 1,000 person-years (95% CI 9.8–10.2). In all age groups, diabetes incidence was lower in women compared to men, an association that persisted in the fully adjusted analyses. Other independent risk factors of diabetes were older age, being born outside of Australia (with the highest rate of 19.2 per 1,000 person-years observed in people born in South and Central Asia), lower education status, lower annual household income, residence in a major city, family history of diabetes, personal history of cardiovascular disease or hypertension, higher body mass index, smoking and long sleeping hours. Conclusions: Our study represents an efficient approach to assessing diabetes frequency and its risk factors in the community. The infrastructure provided by the EXTEND45 Study will be useful for diabetes surveillance and examining other important clinical and epidemiological questions.
AB - Aims: To use linked routinely-collected health data to estimate diabetes prevalence and incidence in an Australian cohort of adults aged ≥45 years, and examine risk factors associated with incident disease. Research design and methods: The EXamining ouTcomEs in chroNic Disease in the 45 and Up Study (EXTEND45) Study is a linked data study that combines baseline questionnaire responses from the population-based 45 and Up Study (2006–2009, n = 267,153) with multiple routinely-collected health databases up to December 2014. Among participants with ≥1 linked result for any laboratory test, diabetes status was determined from multiple data sources according to standard biochemical criteria, use of glucose-lowering medication or self-report, and the prevalence and incidence rate calculated. Independent risk factors of incident diabetes were examined using multivariable Cox regression. Results: Among 152,169 45 and Up Study participants with ≥1 linked laboratory result in the EXTEND45 database (mean age 63.0 years; 54.9% female), diabetes prevalence was 10.8% (95% confidence interval [CI] 10.6%–10.9%). Incident disease in those without diabetes at baseline (n = 135,810; mean age 62.5 years; 56.1% female) was 10.0 per 1,000 person-years (95% CI 9.8–10.2). In all age groups, diabetes incidence was lower in women compared to men, an association that persisted in the fully adjusted analyses. Other independent risk factors of diabetes were older age, being born outside of Australia (with the highest rate of 19.2 per 1,000 person-years observed in people born in South and Central Asia), lower education status, lower annual household income, residence in a major city, family history of diabetes, personal history of cardiovascular disease or hypertension, higher body mass index, smoking and long sleeping hours. Conclusions: Our study represents an efficient approach to assessing diabetes frequency and its risk factors in the community. The infrastructure provided by the EXTEND45 Study will be useful for diabetes surveillance and examining other important clinical and epidemiological questions.
KW - Administrative data
KW - Big data
KW - Diabetes MELLITUS
KW - Incidence
KW - Prevalence
KW - Risk factors
UR - http://www.scopus.com/inward/record.url?scp=85096683550&partnerID=8YFLogxK
U2 - 10.1016/j.jcte.2020.100240
DO - 10.1016/j.jcte.2020.100240
M3 - Article
C2 - 33294382
AN - SCOPUS:85096683550
VL - 22
SP - 1
EP - 9
JO - Journal of Clinical and Translational Endocrinology
JF - Journal of Clinical and Translational Endocrinology
M1 - 100240
ER -