IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i12p2813-d189512.html
   My bibliography  Save this article

Differing Contributions of Classical Risk Factors to Type 2 Diabetes in Multi-Ethnic Malaysian Populations

Author

Listed:
  • Noraidatulakma Abdullah

    (School of Biomedical Sciences and Pharmacy, Faculty of Health and Medicine, University of Newcastle, Newcastle 2308, New South Wales, Australia
    UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia)

  • Nor Azian Abdul Murad

    (UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia)

  • John Attia

    (Clinical Research Design, IT and Statistical Support (CReDITSS) Unit, Hunter Medical Research Institute, Newcastle 2305, New South Wales, Australia
    Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Newcastle 2308, New South Wales, Australia)

  • Christopher Oldmeadow

    (Clinical Research Design, IT and Statistical Support (CReDITSS) Unit, Hunter Medical Research Institute, Newcastle 2305, New South Wales, Australia
    Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Newcastle 2308, New South Wales, Australia)

  • Mohd Arman Kamaruddin

    (UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia)

  • Nazihah Abd Jalal

    (UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia)

  • Norliza Ismail

    (UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia)

  • Rahman Jamal

    (UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia)

  • Rodney J. Scott

    (School of Biomedical Sciences and Pharmacy, Faculty of Health and Medicine, University of Newcastle, Newcastle 2308, New South Wales, Australia
    Hunter Area Pathology Service, John Hunter Hospital, Newcastle 2305, New South Wales, Australia)

  • Elizabeth G. Holliday

    (Centre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Newcastle 2308, New South Wales, Australia)

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.

Suggested Citation

  • Noraidatulakma Abdullah & Nor Azian Abdul Murad & John Attia & Christopher Oldmeadow & Mohd Arman Kamaruddin & Nazihah Abd Jalal & Norliza Ismail & Rahman Jamal & Rodney J. Scott & Elizabeth G. Hollid, 2018. "Differing Contributions of Classical Risk Factors to Type 2 Diabetes in Multi-Ethnic Malaysian Populations," IJERPH, MDPI, vol. 15(12), pages 1-15, December.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:12:p:2813-:d:189512
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/12/2813/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/15/12/2813/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mario A. Cleves, 2002. "From the help desk: Comparing areas under receiver operating characteristic curves from two or more probit or logit models," Stata Journal, StataCorp LP, vol. 2(3), pages 301-313, August.
    2. Jean-Pierre Després & Isabelle Lemieux, 2006. "Abdominal obesity and metabolic syndrome," Nature, Nature, vol. 444(7121), pages 881-887, December.
    3. Royston, Patrick & White, Ian R., 2011. "Multiple Imputation by Chained Equations (MICE): Implementation in Stata," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i04).
    4. Elizabeth G Holliday & Christopher A Magee & Leonard Kritharides & Emily Banks & John Attia, 2013. "Short Sleep Duration Is Associated with Risk of Future Diabetes but Not Cardiovascular Disease: a Prospective Study and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hsin-Han Chen & Hui-Ling Chen & Yi-Tien Lin & Chaou-Wen Lin & Chien-Chang Ho & Hsueh-Yi Lin & Po-Fu Lee, 2020. "The Associations between Functional Fitness Test Performance and Abdominal Obesity in Healthy Elderly People: Results from the National Physical Fitness Examination Survey in Taiwan," IJERPH, MDPI, vol. 18(1), pages 1-14, December.
    2. William Magee, 2023. "Earnings, Intersectional Earnings Inequality, Disappointment in One’s Life Achievements and Life (Dis)satisfaction," Journal of Happiness Studies, Springer, vol. 24(1), pages 373-396, January.
    3. Rouse, Heather L. & Choi, Ji Young & Riser, Quentin H. & Beecher, Constance C., 2020. "Multiple risks, multiple systems, and academic achievement: A nationally representative birth-to-five investigation," Children and Youth Services Review, Elsevier, vol. 108(C).
    4. Elena Ellmeier & Melanie Koch & Thomas Scheiber, 2023. "Saving behavior along the income distribution during the COVID-19 pandemic," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q1/23, pages 7-21.
    5. Saaket Agrawal & Marcus D. R. Klarqvist & Nathaniel Diamant & Takara L. Stanley & Patrick T. Ellinor & Nehal N. Mehta & Anthony Philippakis & Kenney Ng & Melina Claussnitzer & Steven K. Grinspoon & Pu, 2023. "BMI-adjusted adipose tissue volumes exhibit depot-specific and divergent associations with cardiometabolic diseases," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    6. Dionysios V Chartoumpekis & Apostolos Zaravinos & Panos G Ziros & Ralitsa P Iskrenova & Agathoklis I Psyrogiannis & Venetsana E Kyriazopoulou & Ioannis G Habeos, 2012. "Differential Expression of MicroRNAs in Adipose Tissue after Long-Term High-Fat Diet-Induced Obesity in Mice," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-13, April.
    7. Antunes, António & Bonfim, Diana & Monteiro, Nuno & Rodrigues, Paulo M.M., 2018. "Forecasting banking crises with dynamic panel probit models," International Journal of Forecasting, Elsevier, vol. 34(2), pages 249-275.
    8. Nerea Gómez-Fernández & Mauro Mediavilla, 2018. "Do information and communication technologies (ICT) improve educational outcomes? Evidence for Spain in PISA 2015," Working Papers 2018/20, Institut d'Economia de Barcelona (IEB).
    9. Aina M. Galmes-Panades & Escarlata Angullo & Sofía Mira-Martínez & Miquel Bennasar-Veny & Rocío Zamanillo-Campos & Rocío Gómez-Juanes & Jadwiga Konieczna & Rafael Jiménez & Maria Jesús Serrano-Ripoll , 2022. "Development and Evaluation of a Digital Health Intervention to Prevent Type 2 Diabetes in Primary Care: The PREDIABETEXT Study Protocol for a Randomised Clinical Trial," IJERPH, MDPI, vol. 19(22), pages 1-17, November.
    10. Kang Chen & Lai Yee Cheong & Yuan Gao & Yaming Zhang & Tianshi Feng & Qin Wang & Leigang Jin & Eric Honoré & Karen S. L. Lam & Weiping Wang & Xiaoyan Hui & Aimin Xu, 2022. "Adipose-targeted triiodothyronine therapy counteracts obesity-related metabolic complications and atherosclerosis with negligible side effects," Nature Communications, Nature, vol. 13(1), pages 1-20, December.
    11. Simon Grund & Oliver Lüdtke & Alexander Robitzsch, 2018. "Multiple Imputation of Missing Data at Level 2: A Comparison of Fully Conditional and Joint Modeling in Multilevel Designs," Journal of Educational and Behavioral Statistics, , vol. 43(3), pages 316-353, June.
    12. David Tak Wai Lui & Tingting Wu & Ivan Chi Ho Au & Xiaodong Liu & Matrix Man Him Fung & Chi Ho Lee & Carol Ho Yi Fong & Yu Cho Woo & Brian Hung Hin Lang & Kathryn Choon Beng Tan & Carlos King Ho Wong, 2023. "A Population-Based Study of SGLT2 Inhibitor-Associated Postoperative Diabetic Ketoacidosis in Patients with Type 2 Diabetes," Drug Safety, Springer, vol. 46(1), pages 53-64, January.
    13. Nerea Gómez-Fernández & Mauro Mediavilla, 2022. "Factors Influencing Teachers’ Use of ICT in Class: Evidence from a Multilevel Logistic Model," Mathematics, MDPI, vol. 10(5), pages 1-29, March.
    14. Zwysen, Wouter, 2013. "Where you go depends on where you come from: the influence of father’s employment status on young adult’s labour market experiences," ISER Working Paper Series 2013-24, Institute for Social and Economic Research.
    15. Masa, Rainier & Khan, Zoheb & Chowa, Gina, 2020. "Youth food insecurity in Ghana and South Africa: Prevalence, socioeconomic correlates, and moderation effect of gender," Children and Youth Services Review, Elsevier, vol. 116(C).
    16. Purificación Gómez-Abellán & Antoni Díez-Noguera & Juan A Madrid & Juan A Luján & José M Ordovás & Marta Garaulet, 2012. "Glucocorticoids Affect 24 h Clock Genes Expression in Human Adipose Tissue Explant Cultures," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-10, December.
    17. Tista Kundu & Arnaud Lefranc, 2020. "Inequality of Opportunity in Indian Society," CSH-IFP Working Papers 0014, Centre de Sciences Humaines, New Delhi, revised May 2020.
    18. Seuring, Till & Serneels, Pieter & Suhrcke, Marc & Bachmann, Max, 2020. "Diabetes, employment and behavioural risk factors in China: Marginal structural models versus fixed effects models," Economics & Human Biology, Elsevier, vol. 39(C).
    19. Carsten Schröder & Charlotte Bartels & Markus M. Grabka & Johannes König & Martin Kroh & Rainer Siegers, 2020. "A Novel Sampling Strategy for Surveying High Net‐Worth Individuals—A Pretest Application Using the Socio‐Economic Panel," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(4), pages 825-849, December.
    20. Zajacova, Anna & Montez, Jennifer Karas, 2018. "Explaining the increasing disability prevalence among mid-life US adults, 2002 to 2016," Social Science & Medicine, Elsevier, vol. 211(C), pages 1-8.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:15:y:2018:i:12:p:2813-:d:189512. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.