Hostname: page-component-586b7cd67f-dlnhk Total loading time: 0 Render date: 2024-11-26T15:54:15.246Z Has data issue: false hasContentIssue false

Influences of weight loss on long-term diabetes outcomes

Symposium on ‘Diet and diabetes’

Published online by Cambridge University Press:  30 January 2008

Lorna S. Aucott*
Affiliation:
Departments of Public Health, University of Aberdeen, Polwarth Building, Foresterhill, Aberdeen AB25 2ZD, UK
*
Corresponding author: Dr Lorna Aucott, fax +44 1224 550925, email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Increasing rates of type 2 diabetes (T2DM) follow the obesity ‘epidemic’, with 86% of patients with T2DM being overweight and over half being obese. Literature has highlighted that being overweight or obese increases the risk of diabetes. Weight loss for obese patients is associated with clinical improvements, although this evidence is mostly from short-term studies. As part of a Health Technology Assessment systematic review the long-term (≥2 years) effects of weight loss on change in diabetes-related outcome measures for those with diabetes, or risk of developing diabetes for those without diabetes, was investigated in obese individuals. Eleven studies published between 1966 and 2001 fulfilled the inclusion criteria (Caucasian, BMI >28 kg/m2, adults, no eating disorders, weight loss and changes in diabetes-outcome measures). Results of these studies indicated that intentional weight loss reduces the risk of developing diabetes in the long term and those participants with T2DM often have reduced clinical symptoms and mortality risk. These results have been verified and enhanced by literature published since this review. A similar systematic review was conducted as part of a six-phase project, the PRevent Obesity GRowing Economic Synthesis Study. This review excluded BMI >34 kg/m2 and was restricted to lifestyle interventions (or intentional weight loss). Limited information relating to diabetes was gained, with only a non-significant increasing trend for mortality from diabetes for severe weight cycling practices being suggested. Other results indicated a relationship between weight loss and fasting plasma glucose, but because of the heterogeneity of participation groups and lack of definition in relation to diabetes this relationship was not formalised. In summary, weight loss is beneficial for long-term diabetes outcomes for overweight, obese and morbidly-obese participants. There is little research evidence for those individuals who are overweight or just obese, indicating areas of future research in terms of prevention of both obesity and diabetes.

Type
Research Article
Copyright
Copyright © The Author 2008

Abbreviations:
PROGRESS

PRevent Obesity GRrowing Economic Synthesis Study

T2DM

type 2 diabetes

The potential for being overweight or obese has been postulated as a genetic predisposition during the evolution of homo sapiens to protect against leaner times. Unfortunately, in the last 50 years such lean times have not been prevalent (certainly in the developed world and even now in the developing countries energy-rich foods are becoming common place) and labour-saving devices encourage more sedentary behaviour, thus tilting the whole energy-balance equation. However, the obesogenic environment is more complex, involving not just genetic and environmental factors but also other interconnecting factors such as biochemical, neurological, physiological, cultural and socio-economic factors(Reference Thomas1). Obesity prevalence has risen alarmingly, especially in the last 20 years (Table 1), and if trends continue it has been forecast that in the UK 33% of men and 28% of women will be obese by 2010(Reference Zaninotto, Wardle, Stamatakis, Mindell and Head2).

Table 1. Obesity prevalence (%) in England (from Health Survey for England(32), updated for 2005(33))

Along with the rise in obesity is the notable increase in the numbers of those individuals with diabetes, and the projected rise in obesity suggests that in England the current 2·35 million individuals who have diabetes will increase to 2·5 million, i.e. 150 000 more in 3 years, most of whom are expected to have type 2 diabetes (T2DM)(Reference Roberts3).

It has been claimed that 75% of the risk of developing T2DM is a result of obesity(Reference Costacou and Mayer-Davis4). Of those with T2DM 86% are overweight or obese, with 52% being obese(Reference Daousi, Casson, Gill, MacFarlane, Wilding and Pinkney5). There seems to be a gender effect in the consequences, with women who have diabetes having a four- to five-fold higher risk of coronary artery disease compared with men with diabetes who have a two- to three-fold higher risk of coronary artery disease(Reference Legato, Gelzer, Goland, Ebner, Rajan, Villagra and Kosowski6). It is estimated that if there were one million fewer individuals who were obese in the UK, then there would be 34 000 fewer individuals developing T2DM(Reference Roberts3).

For diabetes, however, it is more than just the increase in weight that is important. Weight distribution also plays a role, with the upper-body or central distribution of body fat being associated with increased risk. One way to assess this body-fat distribution is by the waist:hip ratio, which as a marker of upper-body obesity independently predicts development of T2DM in several ethnic groups(Reference Maggio and Pi-Sunyer7).

There is extensive literature showing that being obese or even overweight increases the risk of developing T2DM, whilst physical activity and weight loss (even small amounts, approximately 5% voluntary weight loss) have been shown to reduce this risk(Reference Parillo and Riccardi8, Reference Steyn, Mann, Bennett, Temple, Zimmet, Tuomilehto, Lindstrom and Louheranta9). For those individuals already with diabetes it is commonly reported that the quantity of medication required may be reduced with weight loss, and in some instances a resolution of their diabetes is possible(Reference Parillo and Riccardi8, Reference Steyn, Mann, Bennett, Temple, Zimmet, Tuomilehto, Lindstrom and Louheranta9). However, most research has examined such effects in the short term (generally <1 year follow up). The present paper examines the long-term effects of weight loss on diabetes health outcomes, defined here as ≥2 years, using systematic reviews and meta-analysis and a consideration of the relevant literature.

For this purpose the WHO definitions have been used, such that BMI ≥25 kg/m2 represents ‘overweight’, while BMI ≥30 kg/m2 denotes those who are ‘obese’(10). Results from the Health and Technology Assessment review, other data sources published since the 2001 Health and Technology Assessment review and the ongoing PRevent Obesity GRrowing Economic Synthesis Study (PROGRESS) will be discussed.

Health and Technology Assessment review

The Systematic Review of the Long-term Outcomes of the Treatments for Obesity and Implications for Health Improvement (Reference Avenell, Broom, Brown, Poobalan, Aucott, Stearns, Smith, Jung, Campbell and Grant11), commissioned by the National Health Service programme, is a monograph for the Health and Technology Assessment resulting from a three-phase study conducted between 2001 and 2002. The three parts were: a systematic review of treatment studies in the long term; a systematic review of long-term effects of weight loss on several health outcomes for overweight and obese participants; an economic evaluation.

Here, only the second review is utilised in relation to the effects of weight loss on diabetes outcomes. For this particular review a systematic literature search was undertaken on Medline, Embase and Cinahl electronic bibliographic databases. The review included literature published between 1966 and 2001 with no language restrictions. Mesh terms and text words for ‘cohort studies’, ‘obesity’, ‘overweight’, ‘weight changes’ and ‘diabetes’ were used and appropriately combined. The inclusion criteria covered all prospective studies and trials carried out on participants with a BMI ≥25 kg/m2. Cohort studies and randomised controlled trials with weight-change measurements, diabetes information and a follow-up of ≥2 years were included. Initially the follow-up had been set at 5 years. However, this time period tended to be limited to surgical interventions and hence was reduced to ≥2 years for the non-surgical interventions.

Participant criteria included adults between 18 and 70 years. Studies on Caucasian, Afro-American, Japanese American and British Asian populations were included in the review. It should be noted that the ethnic minorities in Western cultures may adopt the culture and dietary habits of their Caucasian counterparts and may, therefore, have similar risks of obesity. General population studies, animal studies and studies with <20% follow-up were excluded.

Results of the Health and Technology Assessment Review

Of the 7567 abstracts identified, this review included in total thirty-seven papers (of both cohort studies and trials), of which eleven involved diabetes outcomes. Longitudinal analyses were conducted to investigate the relationship between weight loss and the long-term changes in diabetes measures. The results break down into two broad areas for (1) those without diabetes but at risk and (2) those with diabetes.

Risk of developing diabetes

Three cohort studies (the National Health and Nutrition Examination Survey I(Reference Ford, Williamson and Liu12), the Framingham (weight loss recorded as two weight changes, e.g. loss–loss, loss–stable etc., so could be classed as weight cycling)(Reference Moore, Visioni, Wilson, D'Agostino, Finkle and Ellison13), and the British Regional Heart Study(Reference Wannamethee and Shaper14)) described studies with no intervention. These studies had recorded family history of diabetes and included those participants who had impaired glucose tolerance but did not actually have diabetes at baseline. Those participants with weight loss (>3·4 kg) showed non-significant reductions in the risk of developing diabetes when compared with those whose weight was stable. The combined fixed effect model indicated a risk of 0·85 (95% CI 0·69, 1·04).

Also included were two non-surgical intervention trials, the Finnish Diabetes Prevention Study(Reference Tuomilehto, Lindstrom and Eriksson15) that used a lifestyle intervention and a USA study that was described as considering diet and exercise combinations(Reference Wing, Venditti, Jakicic, Polley and Lang16). Again, family history of diabetes and/or impaired glucose tolerance was recorded. In these studies some weight loss (3–5 kg) was associated with a reduced risk of developing diabetes when compared with the weight-stable group, by ≥10% (upper CI). A combined fixed-effect model indicates the risk to be 0·68 (95% CI 0·59, 0·80).

Surgical interventions for obesity had the greatest weight loss, as represented by two studies, one from USA(Reference Long, O'Brien, MacDonald, Leggett-Frazier, Swanson, Pories and Caro17) and the other representing the Swedish Obesity Study(Reference Sjostrom, Peltonen, Wedel and Sjostrom18). These studies both compare participants with large weight losses (62% of the excess weight) with those that did not have surgery and were weight stable. The individual studies indicate reductions of ≥63% (upper CI) for the risk of developing diabetes. These studies did use differing methodologies, both in terms of study design and analysis. Consequently these studies were not combined.

Participants with type 2 diabetes

From the USA there were two studies(Reference Pories, MacDonald and Flickinger19, Reference O'Leary20) reporting on obesity surgery interventions, where patients with diabetes showed an 80% improvement in their metabolic handling of glucose after massive weight loss. These results were not otherwise quantified.

Two non-surgical studies, the USA Cancer Prevention Study(Reference Williamson, Thompson, Thun, Flanders, Pamuk and Byers21) and the WHO Multinational Study of Vascular Disease in Diabetes (non-insulin-dependent diabetes mellitus)(Reference Chaturvedi and Fuller22) used records to follow-up patients in relation to mortality rates for those participants with diabetes. This part of the review was updated in 2006 to include just one more relevant study that used the US National Health Interview Survey with a supplemental survey asking about ‘intention to lose weight’(Reference Gregg, Gerzoff, Thompson and Williamson23).

Initially, the mortality results seem mixed (Fig. 1); however, once the subgroups have been separated into intentional or non-intentional (or not known) weight loss a pattern emerges. Those participants with diabetes who claim to have had intentional weight loss benefited from a significant mortality reduction of 25% compared with those who were weight stable (Fig. 2). Specifically, weight loss of 9–13 kg was found to be the most protective.

Fig. 1. Mortality risks for participants of three studies(Reference Williamson, Thompson, Thun, Flanders, Pamuk and Byers21Reference Gillies, Abrams, Lambert, Cooper, Sutton, Hsu and Khunti23) who had diabetes and either intentional or unintentional weight loss. Values are hazard ratios and 95% CI represented by horizontal bars. *Weight loss represented by a drop in BMI of ≥2 kg/m2.

Fig. 2. Mortality risks for participants of two studies(Reference Williamson, Thompson, Thun, Flanders, Pamuk and Byers21Reference Gillies, Abrams, Lambert, Cooper, Sutton, Hsu and Khunti23) who had diabetes and either intentional or unintentional weight loss. Values are hazard ratios and 95% CI represented by horizontal bars.

Other data sources since the 2001 Health and Technology Assessment review

Other randomised controlled trials on the risk of developing diabetes since 2001 that fully fulfilled the inclusion criteria (for review, see Gillies et al.(Reference Gillies, Abrams, Lambert, Cooper, Sutton, Hsu and Khunti24)) are summarised in Table 2.

Table 2. Randomised controlled trials for diabetes that have fulfilled the inclusion criteria since 2001

XENDOS, Xenical in the prevention of diabetes in obese subjects; NIDDM, non-insulin dependent diabetes mellitus; DPP, Diabetes Prevention Program; DPS, Diabetes Prevention Study; DM, diabetes mellitus; HR, hazard ratio.

Interestingly, for the US Diabetes Prevention Program(Reference Knowler, Barrett-Connor, Fowler, Hamman, Lachin, Walker and Nathan25) evidence is now emerging that lifestyle interventions are, in the long term, more effective in reducing the risk of developing diabetes than using the diabetes mellitus-specific drug Metformin. The XENDOS study(Reference Torgerson, Hauptman, Boldrin and Sjostrom26) used an obesity drug intervention for weight loss rather than lifestyle changes. However, the similarity of the results for these two studies may indicate that it is weight loss that is important for the prevention of diabetes as well as other lifestyle changes.

Studies that did not fully fulfil the inclusion criteria were identified as being nonetheless interesting in relation to the evidence of weight-loss benefits for patients with diabetes.

The Diabetes Treatment Study(Reference Hadden, Blair, Wilson, Boyle, Atkinson and Kennedy27) from Northern Ireland was an uncontrolled trial that indicated that the 9 kg average weight loss in the first 6 months of the trial by means of a lifestyle intervention had sustained effects over 6 years in relation to diabetes management. Of the participants 87% and 71% were able to manage their diabetes by diet alone after 1 and 6 years respectively.

The United Kingdom Prevent Diabetes Study(28) was a randomised controlled trial that compared the diabetic drug Metformin with diet only. Although the weight loss of 5 kg was not sustained, the intensive Metformin regimen decreased the risk of diabetes-related end points.

PRevent Obesity GRrowing Economic Synthesis Study

The on-going study PROGRESS awarded by the National Prevention Research Initiative hopes to examine the benefits, at several different levels of lifestyle interventions, of weight loss on reducing risk of developing chronic disease such as cancer, CVD and diabetes. This multidisciplinary approach has six phases, which will be described briefly (for more detail, see Vale et al.(Reference Vale, Hernandez and Sutton29)): phase 1, systematic reviews; phase 2, qualitative analysis with three group types of focus interviews; phase 3, discrete choice experiment to examine which weight-loss interventions individuals would prefer; phase 4, econometric analysis of large-panel datasets (cancer, CHD and diabetes); phase 5, analysis of cost to the National Health Service of cancer, CHD and diabetes; phase 6, a cost–benefit analysis using phases 1–5.

Within phase 1 two systematic reviews similar to the Health and Technology Assessment review have been conducted whereby (a) the trial data of the interventions were reviewed and (b) the longitudinal effects of weight loss on health outcomes were investigated. There were, however, more restrictions in that both reviews required studies with a lifestyle intervention or at least some intention to lose weight and only studies with participants with an average BMI of <35 kg/m2 at baseline were considered. Consequently, these reviews did not include the morbidly obese. In addition, for phase 1b the weight-change measure(s) were also set at ≥2 years in order to assess maintained weight loss.

The review in phase 1b of the longitudinal effects of weight loss has been completed in relation to the cohort studies and has been extended to trials for overweight and obesity prevention using a more pragmatic search strategy in which reviews have been searched to gain the primary papers.

Results of the PRevent Obesity GRrowing Economic Synthesis Study

For cohort studies 2154 papers were screened, resulting in fourteen unique cohort studies of which only one study(Reference Field, Byers, Hunter, Laird, Manson, Williamson, Willett and Colditz30) had diabetes-outcome changes. This study focused on the effects of weight cycling on the risk of developing T2DM rather than specifically examining weight loss; however, it has been included since some weight-cycling groups had intentional weight loss. Weight-cycling behaviour was assessed in these participants from the Nurses’ Health Study II between 1989 and 1993. Originally, the medical history of the women was assessed and their lifestyle and health behaviours were determined. While the results were not significant (Table 3), there is a suggestion of a detrimental effect of severe weight cycling.

Table 3. Results for participants in the Nurses’ Health Study II that focused on the effects of weight cycling on the risk of developing type 2 diabetes (from Field et al.(Reference Field, Byers, Hunter, Laird, Manson, Williamson, Willett and Colditz30))

RR, risk ratio.

* Referent.

The ‘trials’ review conducted for phase 1a identified >100 papers, of which twelve were suitable for longitudinal analysis of weight loss with health outcomes. In relation to diabetes, however, there was only one measure, fasting plasma glucose. The participant groups varied greatly, with some being impaired glucose tolerant, some being obese, some having normal weight and diabetes status but of a particular type (e.g. premenstrual women). Since levels of fasting plasma glucose for diagnosing diabetes are not clearly defined, a detailed analysis has not been included. However, it would appear that larger weight losses (>5 kg) are associated with significant (P<0·05) reductions in fasting plasma glucose.

Conclusions

The feature that is consistently seen to be beneficial in terms of diabetes-related outcome or risk of developing diabetes is intentional weight loss in obese patients. In these cases weight loss as a result of lifestyle, pharmaceutical and obesity surgical interventions reduces the risk of developing diabetes in the long term by approximately 32%, 10–74% and 63% respectively. Those participants with T2DM often have reduced clinical symptoms, reduced medication and/or a resolution of diabetes symptoms after intentional weight loss; for surgical intervention these reductions can be ⩽80%. The long-term benefits increase with the amount of maintained weight loss.

Mortality risk for those participants with diabetes is reduced by 25% in the long-term in association with weight loss. This positive result for patients with diabetes differs from that for participant groups without diabetes. Men only without diabetes, and men and women grouped together, have a poorer mortality outcome after weight loss, even if overweight and obese participants are compared with a like weight-stable participant group(Reference Poobalan, Aucott, Smith, Avenell, Jung and Broom31). Consequently, weight loss is of particular importance for those with diabetes.

These conclusions are mainly derived from the Health and Technology Assessment review and are in concordance with results from phase 1b of PROGRESS. Under PROGRESS's specific inclusion criteria (BMI <35 kg/m2, weight change for ≥2 years) one cohort study focused on weight cycling. There are no clear definitions of weight cycling despite weight cycling perhaps being the true state for most individuals. However, there is an indication, albeit from just one study, that weight cycling does not significantly increase the risk of developing diabetes, although the trends may increase as the severity of the cycling increases.

The lifestyle trials from PROGRESS indicated that for fasting plasma glucose large sustained weight losses are required for any reductions to be significant, regardless of participant group. However, this aspect has been highlighted as an area to be further investigated within the review.

When assessed for quality both the Health and Technology Assessment review and PROGRESS indicate several methodological flaws in the conducting and reporting of long-term prospective studies, including: many studies rely on self-reporting; there is no current definition or even accommodating of weight cycling within studies; randomised controlled trials tend to be well managed but rarely incorporate a long follow-up; cohort studies tend to be run for longer but with considerable drop-out rates. Such factors need to be addressed and standardised in order to accurately assess the effects of weight loss on health for obese individuals and for the prevention of obesity.

Intentional weight loss seems to have a positive effect for diabetes outcomes in the long term, particularly if it is maintained. This long-term commitment seems to be more successful if multifaceted interventions are used that combine diet, physical activity and behaviour therapy. The current evidence is that lifestyle interventions are more effective than pharmaceutical interventions in preventing T2DM for some individuals. However, the evidence is mainly for those individuals who are already obese, and further information on the preventative effect of weight loss on diabetes also requires long-term assessment.

Acknowledgements

In particular, I would like to thank my colleagues, Dr Amudha Poobalan, Professor Cairns Smith, and our team within public health, Dr Linda MacIntyer, Dr Helen Rothnie, Denise Gray, Dr Laura Wyness, Janice Ferguson and Mohan Thapa. The close work with the trial reviews has been beneficial for these results and only possible with the support of Dr Alison Avenell and Tamara Brown and latterly Professor Carolyn Summerbell's Tyneside review group. In addition, Professor Iain Broom, Professor Roland Jung, Professor Adrian Grant, Dr Luke Vale, Professor Kosta Mavromaras and Professor Norman Waugh have provided the academic, medical and practical support and impetus.

References

1. Thomas, PR(editor) (1995) Weighing the Options. Criteria for Evaluating Weight-Management Programs. Washington, DC: National Academy Press.Google Scholar
2. Zaninotto, P, Wardle, H, Stamatakis, E, Mindell, J & Head, J (2006) Forecasting obesity to 2010. http://www.dh.gov.uk/en/Publicationsandstatistics/Publications/PublicationsStatistics/DH_4138630 (accessed September 2007).Google Scholar
3. Roberts, S (2007) Working together for better Diabetes Care. http://www.dh.gov.uk/en/Publicationsandstatistics/Publications/PublicationsPolicyAndGuidance/DH_074702 (accessed September 2007).Google Scholar
4. Costacou, T & Mayer-Davis, EJ (2003) Nutrition and prevention of type 2 diabetes. Annu Rev Nutr 23, 147170.Google Scholar
5. Daousi, C, Casson, IF, Gill, GV, MacFarlane, IA, Wilding, JP & Pinkney, JH (2006) Prevalence of obesity in type 2 diabetes in secondary care: association with cardiovascular risk factors. Postgrad Med J 82, 280284.CrossRefGoogle ScholarPubMed
6. Legato, MJ, Gelzer, A, Goland, R, Ebner, SA, Rajan, S, Villagra, V & Kosowski, M (2006) Gender-specific care of the patient with diabetes: review and recommendations. Gend Med 3, 131158.CrossRefGoogle Scholar
7. Maggio, CA & Pi-Sunyer, FX (2003) Obesity and type 2 diabetes. Endocrinol Metab Clin North Am 32, 805822.Google Scholar
8. Parillo, M & Riccardi, G (2004) Diet composition and the risk of type 2 diabetes: epidemiological and clinical evidence. Br J Nutr 92, 719.Google Scholar
9. Steyn, NP, Mann, J, Bennett, PH, Temple, N, Zimmet, P, Tuomilehto, J, Lindstrom, J & Louheranta, A (2004) Diet, nutrition and the prevention of type 2 diabetes. Public Health Nutr 7, 147165.Google Scholar
10. World Health Organization (2007) Obesity and overweight. http://www.who.int/mediacentre/factsheets/fs311/en/index.html (accessed September 2007).Google Scholar
11. Avenell, A, Broom, J, Brown, T, Poobalan, A, Aucott, L, Stearns, S, Smith, WC, Jung, R, Campbell, M & Grant, A (2004) Systematic review of the long-term effects and economic consequences of treatments for obesity and implications for health improvement. Health Technology Assessment, vol. 8, no. 21. http://www.ncchta.org/fullmono/mon821.pdfGoogle Scholar
12. Ford, ES, Williamson, DF & Liu, S (1997) Weight change and diabetes incidence: findings from a national cohort of US adults. Am J Epidemiol 146, 214222.Google Scholar
13. Moore, LL, Visioni, AJ, Wilson, PW, D'Agostino, RB, Finkle, WD & Ellison, RC (2000) Can sustained weight loss in overweight individuals reduce the risk of diabetes mellitus? Epidemiology 11, 269273.CrossRefGoogle ScholarPubMed
14. Wannamethee, SG & Shaper, AG (1999) Weight change and duration of overweight and obesity in the incidence of type 2 diabetes. Diabetes Care 22, 12661272.Google Scholar
15. Tuomilehto, J, Lindstrom, J & Eriksson, J (2001) Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 344, 13431350.Google Scholar
16. Wing, RR, Venditti, E, Jakicic, JM, Polley, BA & Lang, W (1998) Lifestyle intervention in overweight individuals with a family history of diabetes. Diabetes Care 21, 350359.CrossRefGoogle ScholarPubMed
17. Long, SD, O'Brien, K, MacDonald, KG Jr, Leggett-Frazier, N, Swanson, MS, Pories, WJ & Caro, JF (1994) Weight loss in severely obese subjects prevents the progression of impaired glucose tolerance to type II diabetes. A longitudinal interventional study. Diabetes Care 17, 372375.CrossRefGoogle ScholarPubMed
18. Sjostrom, CD, Peltonen, M, Wedel, H & Sjostrom, L (2000) Differentiated long-term effects of intentional weight loss on diabetes and hypertension. Hypertension 36, 2025.CrossRefGoogle ScholarPubMed
19. Pories, WJ, MacDonald, KG Jr, Flickinger, EG et al. (1992) Is type II diabetes mellitus (NIDDM) a surgical disease? Ann Surg 215, 633643.Google Scholar
20. O'Leary, JP (1980) Overview: Jejunoileal bypass in the treatment of morbid obesity. Am J Clin Nutr 33, Suppl., 389394.Google Scholar
21. Williamson, DF, Thompson, TJ, Thun, M, Flanders, D, Pamuk, E & Byers, T (2000) Intentional weight loss and mortality among overweight individuals with diabetes. Diabetes Care 23, 14991504.Google Scholar
22. Chaturvedi, N & Fuller, JH (1995) Mortality risk by body weight and weight change in people with NIDDM. The WHO Multinational Study of Vascular Disease in Diabetes. Diabetes Care 18, 766774.CrossRefGoogle ScholarPubMed
23. Gregg, EW, Gerzoff, RB, Thompson, TJ & Williamson, DF (2004) Trying to lose weight, losing weight, and 9-year mortality in overweight U.S. adults with diabetes. Diabetes Care 27, 657662.Google Scholar
24. Gillies, CL, Abrams, KR, Lambert, PC, Cooper, NJ, Sutton, AJ, Hsu, RT & Khunti, K (2007) Pharmacological and lifestyle interventions to prevent or delay type 2 diabetes in people with impaired glucose tolerance: systematic review and meta-analysis. Br Med J 334, 299.CrossRefGoogle ScholarPubMed
25. Knowler, WC, Barrett-Connor, E, Fowler, SE, Hamman, RF, Lachin, JM, Walker, EA & Nathan, DM (2002) Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 346, 393403.Google Scholar
26. Torgerson, JS, Hauptman, J, Boldrin, MN & Sjostrom, L (2004) XENical in the prevention of diabetes in obese subjects (XENDOS) study: a randomized study of orlistat as an adjunct to lifestyle changes for the prevention of type 2 diabetes in obese patients. Diabetes Care 27, 155161.CrossRefGoogle ScholarPubMed
27. Hadden, DR, Blair, AL, Wilson, EA, Boyle, DM, Atkinson, AB, Kennedy, AL et al. (1986) Natural history of diabetes presenting age 40–69 years: a prospective study of the influence of intensive dietary therapy. Q J Med 59, 579598.Google Scholar
28. UK Prospective Diabetes Study (UKPDS) Group (1998) Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes (UKPDS 34). Lancet 352, 854865.CrossRefGoogle Scholar
29. Vale, L, Hernandez, R, Sutton, M et al. (2007) An economic evaluation of obesity problems for UK adults. http://www.abdn.ac.uk/heru/research/ehi/projects/lifestyle/ehi_ee_obesity_uk.php (accessed September 2007).Google Scholar
30. Field, AE, Byers, T, Hunter, DJ, Laird, NM, Manson, JE, Williamson, DF, Willett, WC and Colditz, GA (1999) Weight cycling, weight gain, and risk of hypertension in women. Am J Epidemiol 150, 573579.CrossRefGoogle ScholarPubMed
31. Poobalan, AS, Aucott, LS, Smith, WCS, Avenell, A, Jung, R & Broom, J (2007) Long-term weight loss effects on all cause mortality in overweight/obese populations. Obes Rev (Epublication ahead of print version; available at http://www.blackwell-synergy.com/doi/abs/10.1111/j.1467-789X.2007.00393.x).CrossRefGoogle Scholar
32. The Information Centre, Lifestyle Statistics (2006) Statistics on obesity, physical activity and diet: England, 2006. http://www.ic.nhs.uk/webfiles/publications/opan06/OPAN%20bulletin%20finalv2.pdfGoogle Scholar
33. The Information Centre, Lifestyle Statistics (2006) Statistics on obesity, physical activity and diet: England, 2006. http://www.ic.nhs.uk/webfiles/publications/opan06/obesity%2C%20physical%20activity%20and%20diet%20tables.xls (accessed September 2007).Google Scholar
34. Chiasson, JL, Josse, RG, Gomis, R, Hanefeld, M, Karasik, A, Laakso, M & STOP-NIDDM Trial Research Group (2002) Acarbose for prevention of type 2 diabetes mellitus: the STOP-NIDDM randomised trial. Lancet 359, 20722077.Google Scholar
35. Lindstrom, J, Louheranta, A, Mannelin, M, Rastas, M, Salminen, V, Eriksson, J, Uusitupa, M & Tuomilehto, J for the Finnish Diabetes Prevention Study Group (2003) The Finnish Diabetes Prevention Study (DPS, Lifestyle intervention and 3-year results on diet and physical activity. Diabetes Care 26, 32303236.Google Scholar
Figure 0

Table 1. Obesity prevalence (%) in England (from Health Survey for England(32), updated for 2005(33))

Figure 1

Fig. 1. Mortality risks for participants of three studies(2123) who had diabetes and either intentional or unintentional weight loss. Values are hazard ratios and 95% CI represented by horizontal bars. *Weight loss represented by a drop in BMI of ≥2 kg/m2.

Figure 2

Fig. 2. Mortality risks for participants of two studies(2123) who had diabetes and either intentional or unintentional weight loss. Values are hazard ratios and 95% CI represented by horizontal bars.

Figure 3

Table 2. Randomised controlled trials for diabetes that have fulfilled the inclusion criteria since 2001

Figure 4

Table 3. Results for participants in the Nurses’ Health Study II that focused on the effects of weight cycling on the risk of developing type 2 diabetes (from Field et al.(30))