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. 2012 Jun;62(599):e411-4.
doi: 10.3399/bjgp12X649098.

Body weight reduction to avoid the excess risk of type 2 diabetes

Nicholas J Wald  1 , Jonathan P Bestwick, Joan K Morris
Affiliations

Body weight reduction to avoid the excess risk of type 2 diabetes

Nicholas J Wald et al. Br J Gen Pract. 2012 Jun.

Abstract

Background: It is recognised that people who are overweight have an increased risk of diabetes but the quantitative relationship is less well recognised and the extent of weight reduction needed to avoid the excess risk of diabetes through being overweight, is not well appreciated.

Aim: To derive a simple clinical algorithm to calculate the weight change needed to achieve a specified goal for reduction of body mass index (BMI, weight/height squared [kg/m(2)]) that would avoid the excess risk of diabetes and quantify the preventive effect.

Design and setting: Analysis of the results from two large published cohort studies of the incidence of diabetes in relation to BMI.

Method: Epidemiological data show that the risk of diabetes doubles for every 2.5 unit increase in BMI above a BMI of 22 kg/m(2) and halves for every 2.5 unit decrease in BMI down to 22 kg/m(2). The risk of diabetes also approximately doubles for every 10 years of age. From these relationships, a simple algorithm was derived to specify a person's weight-reduction goal to avoid the excess risk of diabetes.

Results: Converting a BMI-reduction goal (for example, 27 kg/m(2) to 22 kg/m(2)) into a percentage reduction (in this example, 19%) specifies the same percentage weight reduction (19%) because, as a percentage, the reduction is independent of height. This percentage can then easily be converted into an absolute risk reduction (in this example, a 75% reduction in risk).

Conclusion: The algorithm achieves two objectives: (i) it specifies the weight-reduction goal to reverse a person's excess risk of diabetes due to being overweight, and (ii) it quantifies the risk reduction.

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Figures

Figure 1
Figure 1
Relative risk of developing type 2 diabetes according to body mass index, based on results from Chan et al 1994 (males) and Colditz et al 1995 (females).
Figure 2
Figure 2
Reduction in risk of diabetes plotted against weight reduction.
See this image and copyright information in PMC

References

    1. Chan JM, Rimm EB, Colditz GA. Obesity, fat distribution and weight gain as risk factors for clinical diabetes in men. Diabetes Care. 1994;17(9):961–969. - PubMed
    1. Colditz GA, Willett WC, Rotnitzky A, Manson JE. Weight gain as a risk factor for clinical diabetes mellitus in women. Ann Intern Med. 1995;122(7):481–486. - PubMed
    1. Wald N. Medicines in prevention. In: Wald N, Misselbrook D, editors. The future of prevention in cardiovascular disease. London: Royal Society of Medicine Press; 2011. pp. 1–15.
    1. Gray LJ, Taub NA, Khunti K, et al. The Leicester Risk Assessment score for detecting undiagnosed Type 2 diabetes and impaired glucose regulation for use in a multi-ethnic UK setting. Diabet Med. 2010;27:887–895. - PubMed
    1. Hippisley-Cox J, Coupland C, Robson J, et al. Predicting risk of type 2 diabetes in England and Wales: prospective derivation and validation of QDScore. BMJ. 2009;338:b880. - PMC - PubMed

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