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Global and societal implications of the diabetes epidemic

Author

Listed:
  • Paul Zimmet

    (International Diabetes Institute)

  • K. G. M. M. Alberti

    (Royal College of Physicians)

  • Jonathan Shaw

    (International Diabetes Institute)

Abstract

Changes in human behaviour and lifestyle over the last century have resulted in a dramatic increase in the incidence of diabetes worldwide. The epidemic is chiefly of type 2 diabetes and also the associated conditions known as 'diabesity' and 'metabolic syndrome'. In conjunction with genetic susceptibility, particularly in certain ethnic groups, type 2 diabetes is brought on by environmental and behavioural factors such as a sedentary lifestyle, overly rich nutrition and obesity. The prevention of diabetes and control of its micro- and macrovascular complications will require an integrated, international approach if we are to see significant reduction in the huge premature morbidity and mortality it causes. “Man may be the captain of his fate, but he is also the victim of his blood sugar” Wilfrid Oakley [Trans. Med. Soc. Lond. 78, 16 (1962)]

Suggested Citation

  • Paul Zimmet & K. G. M. M. Alberti & Jonathan Shaw, 2001. "Global and societal implications of the diabetes epidemic," Nature, Nature, vol. 414(6865), pages 782-787, December.
    • Handle: RePEc:nat:nature:v:414:y:2001:i:6865:d:10.1038_414782a
    DOI: 10.1038/414782a
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    Cited by:

    1. Renat Sergazinov & Andrew Leroux & Erjia Cui & Ciprian Crainiceanu & R. Nisha Aurora & Naresh M. Punjabi & Irina Gaynanova, 2023. "A case study of glucose levels during sleep using multilevel fast function on scalar regression inference," Biometrics, The International Biometric Society, vol. 79(4), pages 3873-3882, December.
    2. Nour Yassin, 2022. "Adherence to Treatment in Diabetic Patients in Lebanon," Technium Social Sciences Journal, Technium Science, vol. 37(1), pages 375-395, November.
    3. Hajah Norhakimah Haji Mohd Nor & Masitah Shahrill, 2014. "Using a Case-Control Genotypic Testing in Investigating the Association with Type-2 Diabetes," Modern Applied Science, Canadian Center of Science and Education, vol. 8(6), pages 1-1, December.
    4. Hui-Ju Tsai & Chia-Ying Li & Wen-Chi Pan & Tsung-Chieh Yao & Huey-Jen Su & Chih-Da Wu & Yinq-Rong Chern & John D. Spengler, 2020. "The Effect of Surrounding Greenness on Type 2 Diabetes Mellitus: A Nationwide Population-Based Cohort in Taiwan," IJERPH, MDPI, vol. 18(1), pages 1-11, December.
    5. Angel Denche-Zamorano & Jorge Perez-Gomez & Sabina Barrios-Fernandez & Rafael Oliveira & Jose C. Adsuar & João Paulo Brito, 2023. "Relationships between Physical Activity Frequency and Self-Perceived Health, Self-Reported Depression, and Depressive Symptoms in Spanish Older Adults with Diabetes: A Cross-Sectional Study," IJERPH, MDPI, vol. 20(4), pages 1-17, February.
    6. Gladness Nteboheng Lion & Joshua Oluwole Olowoyo, 2023. "Possible Sources of Trace Metals in Obese Females Living in Informal Settlements near Industrial Sites around Gauteng, South Africa," IJERPH, MDPI, vol. 20(6), pages 1-13, March.
    7. Mohammed Abdullah Al Mansour, 2019. "The Prevalence and Risk Factors of Type 2 Diabetes Mellitus (DMT2) in a Semi-Urban Saudi Population," IJERPH, MDPI, vol. 17(1), pages 1-8, December.
    8. Tunku Salha, T.A. & O’Neill, C. & Rowan, N.J., 2013. "The Use of Cointegration and Error Correction Modelling To Investigate the Influence of Diabetes and Associated Medical Services Expenditure on Economic Growth in Malaysia," Journal of Asian Scientific Research, Asian Economic and Social Society, vol. 3(6), pages 644-653, June.
    9. Haiying Gong & Lize Pa & Ke Wang & Hebuli Mu & Fen Dong & Shengjiang Ya & Guodong Xu & Ning Tao & Li Pan & Bin Wang & Guangliang Shan, 2015. "Prevalence of Diabetes and Associated Factors in the Uyghur and Han Population in Xinjiang, China," IJERPH, MDPI, vol. 12(10), pages 1-11, October.
    10. Liu Xu & Gao Bin & Cui Yuehua, 2017. "Generalized partial linear varying multi-index coefficient model for gene-environment interactions," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 16(1), pages 59-74, March.
    11. Samuel Ojima Adejoh, 2014. "Diabetes Knowledge, Health Belief, and Diabetes Management Among the Igala, Nigeria," SAGE Open, , vol. 4(2), pages 21582440145, June.
    12. Cannuscio, Carolyn C. & Hillier, Amy & Karpyn, Allison & Glanz, Karen, 2014. "The social dynamics of healthy food shopping and store choice in an urban environment," Social Science & Medicine, Elsevier, vol. 122(C), pages 13-20.
    13. repec:thr:techub:10037:y:2022:i:1:p:375-395 is not listed on IDEAS
    14. Yuan Xue & Xiao-Yan Zhang & Hui-Juan Zhou & Omorogieva Ojo & Qi Wang & Li-Li Wang & Qing Jiang & Ting Liu & Xiao-Hua Wang, 2020. "Associations Between the Knowledge of Different Food Categories and Glycemia in Chinese Adult Patients With Type 2 Diabetes," Clinical Nursing Research, , vol. 29(5), pages 313-321, June.
    15. Mary Carolan & Jessica Holman & Michelle Ferrari, 2015. "Experiences of diabetes self‐management: a focus group study among Australians with type 2 diabetes," Journal of Clinical Nursing, John Wiley & Sons, vol. 24(7-8), pages 1011-1023, April.
    16. Baum, Peter, 2011. "A new track for technology: Can ICT take care for healthier lifestyles?," 22nd European Regional ITS Conference, Budapest 2011: Innovative ICT Applications - Emerging Regulatory, Economic and Policy Issues 52185, International Telecommunications Society (ITS).
    17. Amira M. Elsherbini & Alsamman M. Alsamman & Nehal M. Elsherbiny & Mohamed El-Sherbiny & Rehab Ahmed & Hasnaa Ali Ebrahim & Joaira Bakkach, 2022. "Decoding Diabetes Biomarkers and Related Molecular Mechanisms by Using Machine Learning, Text Mining, and Gene Expression Analysis," IJERPH, MDPI, vol. 19(21), pages 1-18, October.

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