Ding Ding1, Shanley Chong2, Bin Jalaludin3, Elizabeth Comino4, Adrian E Bauman5. 1. Prevention Research Collaboration, Sydney School of Public Health, The University of Sydney, The Charles Perkins Centre (D17), The University of Sydney, NSW 2006, Australia. Electronic address: melody.ding@sydney.edu.au. 2. Healthy People and Places Unit, South Western Sydney Local Health District, Bangala Building, Eastern Campus, Liverpool Hospital, Liverpool, NSW 2170, Australia. Electronic address: Shanley.Chong@sswahs.nsw.gov.au. 3. Healthy People and Places Unit, South Western Sydney Local Health District, Bangala Building, Eastern Campus, Liverpool Hospital, Liverpool, NSW 2170, Australia; School of Public Health and Community Medicine, The University of New South Wales, Sydney, NSW 2052, Australia. Electronic address: Bin.Jalaludin@sswahs.nsw.gov.au. 4. Centre for Primary Health Care and Equity, University of New South Wales, Sydney, NSW 2052, Australia; Unit of Population Health, South Western Sydney and Sydney Local Health Districts, NSW Health, Liverpool Hospital, Liverpool, NSW 2170, Australia. Electronic address: E.Comino@unsw.edu.au. 5. Prevention Research Collaboration, Sydney School of Public Health, The University of Sydney, The Charles Perkins Centre (D17), The University of Sydney, NSW 2006, Australia. Electronic address: adrian.bauman@sydney.edu.au.
Abstract
AIMS: To describe the incidence of type 2 diabetes mellitus (T2DM) among middle-aged and older Australian adults and to examine a broad range of risk factors of T2DM. METHODS: A large cohort of Australian adults aged 45 and up was sampled from the general population and was followed up for approximately 3 years (n=60,404). Physician-diagnosed T2DM was self-reported at baseline (2006-2008) and follow-up (2010). Incident T2DM was determined as not reporting T2DM at baseline, but reporting T2DM at follow-up. A broad range of risk factors, including socio-demographic characteristics, health status, family history, and lifestyle behaviors were examined at baseline. Multiple logistic regression was used for selecting potential predictors of incident T2DM, and age and reported family history of T2DM were tested as potential effect modifiers. RESULTS: Of the 54,997 without T2DM at baseline, 888 reported T2DM at follow-up (cumulative incidence 1.6% over 3.4 years, annual incidence rate 0.44%). Adjusted for other risk factors, being male, older age, higher relative socio-economic disadvantage, being born in Asia, lower educational attainment, medical history of hypertension and dyslipidemia, family history of T2DM, overweight/obese, smoking, long sleeping hours, and psychological distress were significantly associated with higher odds of developing T2DM. Particularly, hypertension, dyslipidemia, and overweight/obesity were stronger predictors of T2DM among middle-aged than older adults (≥60 years). CONCLUSIONS: Understanding risk factors for incident T2DM could help identify at-risk populations and develop upstream preventive strategies to combat the epidemic of diabetes.
AIMS: To describe the incidence of type 2 diabetes mellitus (T2DM) among middle-aged and older Australian adults and to examine a broad range of risk factors of T2DM. METHODS: A large cohort of Australian adults aged 45 and up was sampled from the general population and was followed up for approximately 3 years (n=60,404). Physician-diagnosed T2DM was self-reported at baseline (2006-2008) and follow-up (2010). Incident T2DM was determined as not reporting T2DM at baseline, but reporting T2DM at follow-up. A broad range of risk factors, including socio-demographic characteristics, health status, family history, and lifestyle behaviors were examined at baseline. Multiple logistic regression was used for selecting potential predictors of incident T2DM, and age and reported family history of T2DM were tested as potential effect modifiers. RESULTS: Of the 54,997 without T2DM at baseline, 888 reported T2DM at follow-up (cumulative incidence 1.6% over 3.4 years, annual incidence rate 0.44%). Adjusted for other risk factors, being male, older age, higher relative socio-economic disadvantage, being born in Asia, lower educational attainment, medical history of hypertension and dyslipidemia, family history of T2DM, overweight/obese, smoking, long sleeping hours, and psychological distress were significantly associated with higher odds of developing T2DM. Particularly, hypertension, dyslipidemia, and overweight/obesity were stronger predictors of T2DM among middle-aged than older adults (≥60 years). CONCLUSIONS: Understanding risk factors for incident T2DM could help identify at-risk populations and develop upstream preventive strategies to combat the epidemic of diabetes.
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