Affiliations 

  • 1 School of Biomedical Sciences and Pharmacy, Faculty of Health and Medicine, University of Newcastle, Newcastle, New South Wales, 2308, Australia. [email protected]
  • 2 UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, 56000, Kuala Lumpur, Malaysia. [email protected]
  • 3 Clinical Research Design, IT and Statistical Support (CReDITSS) Unit, Hunter Medical Research Institute, Newcastle, New South Wales, 2305, Australia. [email protected]
  • 4 Clinical Research Design, IT and Statistical Support (CReDITSS) Unit, Hunter Medical Research Institute, Newcastle, New South Wales, 2305, Australia. [email protected]
  • 5 UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, 56000, Kuala Lumpur, Malaysia. [email protected]
  • 6 UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, 56000, Kuala Lumpur, Malaysia. [email protected]
  • 7 UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, 56000, Kuala Lumpur, Malaysia. [email protected]
  • 8 UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, 56000, Kuala Lumpur, Malaysia. [email protected]
  • 9 School of Biomedical Sciences and Pharmacy, Faculty of Health and Medicine, University of Newcastle, Newcastle, New South Wales, 2308, Australia. [email protected]
  • 10 Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Newcastle, New South Wales, 2308, Australia. [email protected]
Int J Environ Res Public Health, 2018 Dec 10;15(12).
PMID: 30544761 DOI: 10.3390/ijerph15122813

Abstract

The prevalence of type 2 diabetes is escalating rapidly in Asian countries, with the rapid increase likely attributable to a combination of genetic and lifestyle factors. Recent research suggests that common genetic risk variants contribute minimally to the rapidly rising prevalence. Rather, recent changes in dietary patterns and physical activity may be more important. This nested case-control study assessed the association and predictive utility of type 2 diabetes lifestyle risk factors in participants from Malaysia, an understudied Asian population with comparatively high disease prevalence. The study sample comprised 4077 participants from The Malaysian Cohort project and included sub-samples from the three major ancestral groups: Malay (n = 1323), Chinese (n = 1344) and Indian (n = 1410). Association of lifestyle factors with type 2 diabetes was assessed within and across ancestral groups using logistic regression. Predictive utility was quantified and compared between groups using the Area Under the Receiver-Operating Characteristic Curve (AUC). In predictive models including age, gender, waist-to-hip ratio, physical activity, location, family history of diabetes and average sleep duration, the AUC ranged from 0.76 to 0.85 across groups and was significantly higher in Chinese than Malays or Indians, likely reflecting anthropometric differences. This study suggests that obesity, advancing age, a family history of diabetes and living in a rural area are important drivers of the escalating prevalence of type 2 diabetes in Malaysia.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.