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Poor glycaemic control and its metabolic and demographic risk factors in a Malaysian community-based study

Author

Listed:
  • Daniel D. Reidpath

    (Monash University Malaysia
    The University Edinburgh
    Monash University Malaysia)

  • Ireneous Soyiri

    (The University Edinburgh)

  • Nowrozy K. Jahan

    (Monash University Malaysia
    Monash University Malaysia)

  • Devi Mohan

    (Monash University Malaysia)

  • Badariah Ahmad

    (Monash University Malaysia)

  • Mohtar Pungut Ahmad

    (Hospital Segamat, Ministry of Health Malaysia)

  • Zaid Bin Kassim

    (Segamat District Public Health Office, Ministry of Health Malaysia)

  • Pascale Allotey

    (Monash University Malaysia
    Monash University Malaysia
    United Nations University, International Institute for Global Health (UNU-IIGH))

Abstract

Objectives The lack of population-based evidence on the risk factors for poor glycaemic control in diabetics, particularly in resource-poor settings, is a challenge for the prevention of long-term complications. This study aimed to identify the metabolic and demographic risk factors for poor glycaemic control among diabetics in a rural community in Malaysia. Methods A total of 1844 (780 males and 1064 females) known diabetics aged ≥ 35 years were identified from the South East Asia Community Observatory (SEACO) health and demographic surveillance site database. Results 41.3% of the sample had poor glycaemic control. Poor glycaemic control was associated with age and ethnicity, with older participants (65+) better controlled than younger adults (45–54), and Malaysian Indians most poorly controlled, followed by Malay and then Chinese participants. Metabolic risk factors were also highly associated with poor glycaemic control. Conclusions There is a critical need for evidence for a better understanding of the mechanisms of the associations between risk factors and glycaemic control.

Suggested Citation

  • Daniel D. Reidpath & Ireneous Soyiri & Nowrozy K. Jahan & Devi Mohan & Badariah Ahmad & Mohtar Pungut Ahmad & Zaid Bin Kassim & Pascale Allotey, 2018. "Poor glycaemic control and its metabolic and demographic risk factors in a Malaysian community-based study," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 63(2), pages 193-202, March.
    • Handle: RePEc:spr:ijphth:v:63:y:2018:i:2:d:10.1007_s00038-017-1072-4
    DOI: 10.1007/s00038-017-1072-4
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    1. Kovalchik, Stephanie & Varadhan, Ravi, 2013. "Fitting Additive Binomial Regression Models with the R Package blm," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 54(i01).
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