Prevention of Type 2 Diabetes Mellitus by Changes in Lifestyle among Subjects with Impaired Glucose Tolerance
Jaakko Tuomilehto, M.D., Ph.D., Jaana Lindstrom, M.S., Johan G. Eriksson, M.D., Ph.D., Timo T. Valle, M.D., Helena Hamalainen, M.D., Ph.D., Pirjo Ilanne-Parikka, M.D., Sirkka Keinanen-Kiukaanniemi, M.D., Ph.D., Mauri Laakso, M.D., Anne Louheranta, M.S., Merja Rastas, M.S., Virpi Salminen, M.S., Sirkka Aunola, Ph.D., Zygimantas Cepaitis, Dipl.Eng., Vladislav Moltchanov, Ph.D., Martti Hakumaki, M.D., Ph.D., Marjo Mannelin, M.S., Vesa Martikkala, M.S., Jouko Sundvall, M.S., Matti Uusitupa, M.D., Ph.D., for the Finnish Diabetes Prevention Study Group
Background Type 2 diabetes mellitus is increasingly common,primarily because of increases in the prevalence of a sedentarylifestyle and obesity. Whether type 2 diabetes can be preventedby interventions that affect the lifestyles of subjects at highrisk for the disease is not known.
Methods We randomly assigned 522 middle-aged, overweight subjects(172 men and 350 women; mean age, 55 years; mean body-mass index[weight in kilograms divided by the square of the height inmeters], 31) with impaired glucose tolerance to either the interventiongroup or the control group. Each subject in the interventiongroup received individualized counseling aimed at reducing weight,total intake of fat, and intake of saturated fat and increasingintake of fiber and physical activity. An oral glucose-tolerancetest was performed annually; the diagnosis of diabetes was confirmedby a second test. The mean duration of follow-up was 3.2 years.
Results The mean (±SD) amount of weight lost betweenbase line and the end of year 1 was 4.2±5.1 kg in theintervention group and 0.8±3.7 kg in the control group;the net loss by the end of year 2 was 3.5±5.5 kg in theintervention group and 0.8±4.4 kg in the control group(P<0.001 for both comparisons between the groups). The cumulativeincidence of diabetes after four years was 11 percent (95 percentconfidence interval, 6 to 15 percent) in the intervention groupand 23 percent (95 percent confidence interval, 17 to 29 percent)in the control group. During the trial, the risk of diabeteswas reduced by 58 percent (P<0.001) in the intervention group.The reduction in the incidence of diabetes was directly associatedwith changes in lifestyle.
Conclusions Type 2 diabetes can be prevented by changes in thelifestyles of high-risk subjects.
The incidence of type 2 diabetes mellitus is increasing worldwide.Type 2 diabetes results from the interaction between a geneticpredisposition and behavioral and environmental risk factors.1Although the genetic basis of type 2 diabetes has yet to beidentified, there is strong evidence that such modifiable riskfactors as obesity and physical inactivity are the main nongeneticdeterminants of the disease.2,3,4,5,6,7,8,9
Impaired glucose tolerance is an intermediate category betweennormal glucose tolerance and overt diabetes,10,11 and it canbe identified by an oral glucose-tolerance test. Subjects withimpaired glucose tolerance have an increased risk of type 2diabetes12 and therefore form an important target group forinterventions aimed at preventing diabetes.2,3,4,5 The FinnishDiabetes Prevention Study was conducted to determine the feasibilityand effects of a program of changes in lifestyle designed toprevent or delay the onset of type 2 diabetes in subjects withimpaired glucose tolerance.
Methods
Study Design
The design of the Diabetes Prevention Study has been describedin detail elsewhere.13 The study was designed on the assumptionsof a 35 percent cumulative incidence of diabetes and a 35 percentreduction in incidence in the intervention group, as comparedwith the control group, during a six-year period. The studyprotocol was approved by the ethics committee of the NationalPublic Health Institute in Helsinki, Finland, and all the studysubjects gave written informed consent.
Study subjects were recruited primarily through the screeningof members of high-risk groups, such as first-degree relativesof patients with type 2 diabetes. Overweight persons (definedas those with a body-mass index [the weight in kilograms dividedby the square of the height in meters] of 25 or higher) whowere 40 to 65 years old and had impaired glucose tolerance wereeligible for the study. Impaired glucose tolerance was definedas a plasma glucose concentration of 140 to 200 mg per deciliter(7.8 to 11.0 mmol per liter) two hours after the oral administrationof 75 g of glucose in subjects whose plasma glucose concentrationafter an overnight fast was less than 140 mg per deciliter.14The test was repeated in subjects in whom the first result wasabnormal, and the mean of the two values was used to determineeligibility. Criteria for exclusion were a diagnosis of diabetesmellitus, the presence of chronic disease rendering survivalfor six years unlikely, and other characteristics (psychologicalor physical disabilities) deemed likely to interfere with participationin the study.
Subjects who enrolled in the study were randomly assigned tothe intervention group or the control group by the study physician,with the use of a randomization list, with stratification accordingto center, sex, and the mean plasma glucose concentration twohours after oral glucose challenge (140 to 169 mg per deciliteror 170 to 200 mg per deciliter [7.8 to 9.4 mmol per liter or9.5 to 11.0 mmol per liter]). The nurses who scheduled the studyvisits did not have access to the randomization list. However,the staff members involved in the intervention had to be awareof the group assignment; thus, the study was only partly blinded.Laboratory staff did not know the subjects' group assignments,and the subjects were not informed of their plasma glucose concentrationsduring follow-up unless diabetes was diagnosed.
A total of 523 subjects in five study centers were randomlyassigned to one of the two treatment groups. The end-pointscommittee excluded one subject who had diabetes at base linewhose diagnosis of diabetes was confirmed at her two-year visit.The subjects in the control group were given general oral andwritten information about diet (a two-page leaflet) and exerciseat base line and at subsequent annual visits, but no specificindividualized programs were offered to them. They completeda three-day food diary at base line and at each annual visit,using a booklet illustrating the sizes of portions of food.15Nutrient intakes were computed with the use of a program developedat the National Public Health Institute.16
The subjects in the intervention group were given detailed adviceabout how to achieve the goals of the intervention, which werea reduction in weight of 5 percent or more, in total intakeof fat to less than 30 percent of energy consumed, and in intakeof saturated fat to less than 10 percent of energy consumed;an increase in fiber intake to at least 15 g per 1000 kcal;and moderate exercise for at least 30 minutes per day. Frequentingestion of whole-grain products, vegetables, fruits, low-fatmilk and meat products, soft margarines, and vegetable oilsrich in monounsaturated fatty acids was recommended. The dietaryadvice was tailored to each subject on the basis of three-dayfood records completed four times per year. Each subject inthe intervention group had seven sessions with a nutritionistduring the first year of the study and one session every threemonths thereafter. These subjects also received individual guidanceon increasing their level of physical activity. Endurance exercise(such as walking, jogging, swimming, aerobic ball games, orskiing) was recommended as a way to increase aerobic capacityand improve cardiorespiratory fitness. Supervised, progressive,individually tailored, circuit-type resistance-training sessionswere also offered with the aim of improving the functional capacityand strength of the large muscle groups; subjects were instructedto perform a moderate to high number of repetitions and to takea break of 15 to 60 seconds between the stations on the circuit.During the first year, the rate of participation in these sessionsvaried from 50 percent to 85 percent at different centers.
If, at an annual visit, the study physician discovered a clinicalcondition that required attention, such as a high serum cholesterolconcentration or hypertension, the subject was advised to contacthis or her own physician for treatment and follow-up.
Clinical Studies
At base line and at each annual visit, all study subjects completeda medical-history questionnaire and underwent a physical examinationthat included anthropometric and blood-pressure measurementsand an oral glucose-tolerance test, as described elsewhere.13
Biochemical Assessments
Plasma glucose was measured at each center by means of standardmethods. The glucose measurements were standardized by the centrallaboratory in Helsinki, whose staff analyzed 60 to 80 plasmasamples from each center in duplicate. A linear-regression equationwas calculated for each center, with the use of the plasma glucosemeasurement determined at the Helsinki laboratory as the standard.These equations were used to correct the locally measured plasmaglucose values. The result of the second oral glucose-tolerancetest was considered the base-line value for comparison withvalues obtained later; in some subjects whose entry into thestudy was delayed, a third oral glucose-tolerance test was performedwhose result was considered the base-line value. The serum insulinconcentration was measured by a radioimmunoassay (Pharmacia,Uppsala, Sweden), and serum levels of total cholesterol, high-densitylipoprotein cholesterol, and triglycerides were measured byenzymatic assay in the central laboratory in Helsinki.
Assessment of the End Points
Diabetes was defined according to the 1985 criteria of the WorldHealth Organization14 as either a fasting plasma glucose concentrationof 140 mg per deciliter or higher or a plasma glucose concentrationof 200 mg per deciliter or higher two hours after an oral glucosechallenge. We required confirmation of the diagnosis of diabetesby a second oral glucose-tolerance test; if the diagnosis wasnot confirmed by the second test, the subject followed the programaccording to the original random assignment. The diagnosis ofdiabetes was based on the locally measured plasma glucose values,since these were used for the inclusion of subjects in the study.In the statistical analysis, corrected plasma glucose valueswere used. The independent end-points committee confirmed allnewly diagnosed cases of diabetes. The study centers did notexchange information concerning the number of subjects who reachedthe end point, and the end-point data were linked to the groupassignment at the study center only after a total of 80 subjectshad reached the end point, as stated in the study plan.
Statistical Analysis
In March 2000, an independent statistician completed the firstanalysis of data, which included all cases of diabetes diagnosedbefore that date. On the basis of the results of this analysis,the end-points committee recommended that the trial be ended.
Two-sided t-tests and chi-square tests were used to analyzethe differences between the groups at base line and during follow-up.Survival curves were calculated to estimate the cumulative incidenceof diabetes. The difference between the groups in the incidenceof diabetes was tested by means of the two-sided log-rank test.All analyses of end points were based on the intention-to-treatprinciple. The SAS PHREG procedure was used to derive the basicestimates, such as the survival functions and the 95 percentconfidence limits of the estimates (SAS/STAT software, version6.12, SAS Institute, Cary, N.C.). Subjects who withdrew fromthe study were considered to be at risk for diabetes until theirlast oral glucose-tolerance test, at which point data were censored.To estimate the extent of the dependence of the incidence ofdiabetes on the changes in lifestyle that were achieved, subjectswere given a grade for each goal of the intervention at theone-year visit (with 0 indicating that it was not achieved or1 indicating that it was achieved), and a success score wascomputed as the sum of these grades. For each subgroup definedaccording to success score, the proportion of subjects in whomdiabetes had developed was calculated. To test for a statisticalassociation between this proportion and the success score, logistic-regressionanalysis was performed with the use of the SAS GENMOD procedure.The expected proportion was modeled as a linear function ofthe success score.
Results
The first subject was assigned to a group in November 1993 andthe last in June 1998. At that time, 90 percent of the studysubjects had been enrolled in the trial for at least 2 years,and the mean duration of follow-up was 3.2 years. The base-linecharacteristics of the two groups were similar (Table 1). Duringthe first year, the mean (±SD) body weight decreasedby 4.2±5.1 kg (4.7±5.4 percent) in the interventiongroup and by 0.8±3.7 kg (0.9±4.2 percent) in thecontrol group (P<0.001) (Table 2). Waist circumference, thefasting plasma glucose concentration, the plasma glucose concentrationtwo hours after oral glucose challenge, and the serum insulinconcentration two hours after glucose challenge decreased significantlymore among subjects in the intervention group than among thosein the control group. At two years, the decrease in weight remainedsignificantly greater in the intervention group (3.5±5.5kg) than in the control group (0.8±4.4 kg) (P<0.001).At this time, the mean change from base line in the fastingplasma glucose concentration was 2±12 mg per deciliter(0.1±0.7 mmol per liter) in the intervention groupand +3±14 mg per deciliter (+0.2±0.8 mmol perliter) in the control group (P<0.001); the change in theplasma glucose concentrations measured two hours after oralglucose challenge was 14±37 mg per deciliter (0.8±2.1mmol per liter) in the intervention group and +0±44 mgper deciliter (+0±2.5 mmol per liter) in the controlgroup (P<0.001). There were also significantly greater decreasesin the intervention group than in the control group in the seruminsulin concentration two hours after oral glucose challenge,as well as in the triglyceride concentration and blood pressure(data not shown).
Table 2. Changes in Selected Clinical and Metabolic Variables from Base-Line to the End of Year 1 in the Subjects in the Intervention and Control Groups.
The study subjects were asked about their health-related behaviorat base line and subsequently at each annual follow-up examination(Table 3). The subjects in the intervention group were morelikely to report changes in dietary and exercise habits. Successin achieving the goals of the intervention was estimated onthe basis of the food records and exercise questionnaires collectedat the one-year examination (Table 4). The proportion of subjectsin the intervention group who succeeded in achieving a particulargoal varied from 25 percent (fiber intake) to 86 percent (exercise).
Table 4. Success in Achieving the Goals of the Intervention by One Year, According to Treatment Group.
Diabetes was diagnosed in a total of 86 subjects 27in the intervention group and 59 in the control group. The averageproportion of subjects in whom impaired glucose tolerance progressedto diabetes was 3 percent per year in the intervention groupand 6 percent per year in the control group. The absolute incidenceof diabetes was 32 cases per 1000 person-years in the interventiongroup and 78 per 1000 person-years in the control group.
The cumulative incidence of diabetes was lower in the interventiongroup than in the control group (Figure 1). The difference wasstatistically significant after two years: 6 percent in theintervention group (95 percent confidence interval, 3 to 9 percent)and 14 percent in the control group (95 percent confidence interval,10 to 19 percent). At four years, the cumulative incidence was11 percent (95 percent confidence interval, 6 to 15 percent)in the intervention group and 23 percent (95 percent confidenceinterval, 17 to 29 percent) in the control group. Accordingto the Cox regression analysis of all person-years accumulated,the cumulative incidence of diabetes was 58 percent lower inthe intervention group than in the control group (hazard ratio,0.4; 95 percent confidence interval, 0.3 to 0.7; P<0.001).The incidence of diabetes was 63 percent lower among men inthe intervention group (95 percent confidence interval, 18 to79 percent; P=0.01) and 54 percent lower among women (95 percentconfidence interval, 26 to 81 percent; P=0.008).
Figure 1. Proportion of Subjects without Diabetes during the Trial.
The vertical bars show the 95 percent confidence intervals for the cumulative probability of remaining free of diabetes. The relative risk of diabetes for subjects in the intervention group, as compared with those in the control group, was 0.4 (P<0.001 for the comparison between the groups).
The study subjects were ranked according to their success inachieving the goals of the intervention (and given a successscore between 0 and 5) at the one-year examination, with higherscores indicating more goals met (Figure 2). There was a stronginverse correlation between the success score and the incidenceof diabetes. Thirteen subjects in the intervention group and48 subjects in the control group did not achieve any of thegoals; diabetes developed in 38 percent and 31 percent of thesesubjects, respectively, during follow-up. Diabetes had not developedin any of the subjects who reached four or five of the goals(49 subjects in the intervention group and 15 in the controlgroup). According to a univariate analysis, the odds ratio fordiabetes in subjects in the intervention group who had lostmore than 5 percent of their initial weight by the one-yearfollow-up visit was 0.3 (95 percent confidence interval, 0.1to 0.7) as compared with those in the intervention group whohad lost less weight or none at all; the corresponding oddsratio in the control group was 0.4 (95 percent confidence interval,0.1 to 1.2). Among the subjects in the intervention group whodid not reach the goal of losing 5 percent of their initialweight, the odds ratio for diabetes in those who had achievedthe goal with respect to exercise (more than four hours perweek) during the first year was 0.2 (95 percent confidence interval,0.1 to 0.6) as compared with those in the intervention groupwho maintained a sedentary lifestyle; the corresponding oddsratio in the control group was 0.6 (95 percent confidence interval,0.3 to 1.1). After adjustment for base-line body-mass index,the odds ratio for diabetes in those in the intervention groupwho had achieved the exercise goal was still statistically significant(odds ratio, 0.3; 95 percent confidence interval, 0.1 to 0.7).
Figure 2. Incidence of Diabetes during Follow-up, According to the Success Score.
At the one-year visit, each subject received a grade of 0 for each intervention goal that had not been achieved and a grade of 1 for each goal that had been achieved; the success score was computed as the sum of the grades. Forty subjects who withdrew from the study when their diabetes status was unknown and 14 subjects with incomplete data were excluded from this analysis. The association between the success score and the risk of diabetes, with 95 percent confidence intervals, was estimated by means of logistic-regression analysis of the observed data. The curves show the model-based incidence of diabetes according to the success score as a continuous variable; the curve whose data points align with the open bars represents the model-based incidence for the control group, and the curve whose data points align with the shaded bars represents the model-based incidence for the intervention group.
During the study, 40 subjects (8 percent) withdrew 23in the intervention group and 17 in the control group. Of thesesubjects, 9 could not be contacted, 3 withdrew due to severeillness, 1 died, and 27 withdrew for personal reasons.
Discussion
This study provides evidence that type 2 diabetes can be preventedby changes in the lifestyles of both women and men at high riskfor the disease. The overall incidence of diabetes was reducedby 58 percent. Our estimate of the effect of the interventioncan be considered conservative for two reasons. First, the datawere analyzed according to the intention-to-treat principle,even though some subjects in the intervention group did notfollow the recommendations about diet and exercise. Second,for ethical reasons, all subjects assigned to the control groupalso received general health advice at base line and at annualfollow-up visits and may have benefited from this advice.
The results from previous studies in Sweden17 and China18 alsoprovide evidence that changes in lifestyle are effective inpreventing diabetes, and the magnitude of the benefit in thesestudies was similar to that in our study. In those two studies,the subjects were not randomly assigned to the interventionand control groups. The randomization in our study was stratifiedaccording to clinic, sex, and base-line plasma glucose concentrationtwo hours after oral glucose challenge in order to obtain thebest possible comparability between groups. In the Chinese study,18an attempt to determine whether a change in diet or a changein exercise habits was more effective found no difference inoutcome between the two interventions. We did not try to separatethese changes but, rather, tried to achieve changes in lifestylethat were as extensive as possible for each subject.
The effect of the interventions was assessed after one yearbecause earlier assessment may be biased as a result of changesmade only because subjects are conscious of being studied. Theeffect of the intervention on the incidence of diabetes wasmost pronounced among subjects who made comprehensive changesin lifestyle; on the other hand, the failure to make any changesresulted in an incidence of diabetes that was close to the estimateof 35 percent for this high-risk population. The average amountof weight lost was not large, yet the difference between theincidence of diabetes in the intervention group and that inthe control group was substantial. The low odds ratio for diabetesamong those who lost at least 5 percent of their initial weightreveals the importance of even a relatively small reductionin weight in the prevention of diabetes.
Our counseling regarding physical exercise included componentsdesigned to improve both cardiorespiratory fitness and musclestrength. Achieving a relatively conservative target of morethan four hours of exercise per week was associated with a significantreduction in the risk of diabetes in the subjects who did notlose weight. It is likely that any type of physical activity whether sports, household work, gardening, or work-relatedphysical activity is similarly beneficial in preventingdiabetes. Many subjects with impaired glucose tolerance areboth obese and inactive, and therefore we would expect to finda doseresponse relation between the correction of thesemultiple risk factors and reductions in the risk of diabetes.
The main justification for the type of intervention used inthe high-risk subjects in this study is that it may preventor postpone the onset of type 2 diabetes and the complicationsrelated to the disease. Patients with diabetes withor without symptoms have an increased prevalence ofboth macrovascular and microvascular complications at the timewhen diabetes is diagnosed. Many also have hypertension andan atherogenic serum lipid profile.19,20,21,22 The changes inlifestyle in our study not only improved glucose tolerance butalso reduced the magnitude of several other cardiovascular riskfactors.13 It is commonly argued that it is difficult to changethe lifestyle of obese and sedentary people, but such pessimismmay not be justified. The reasonably low dropout rate in ourstudy also indicates that subjects with impaired glucose toleranceare willing and able to participate in a demanding interventionprogram if it is made available to them.
It is possible to achieve primary prevention of type 2 diabetesby means of a nonpharmacologic intervention that can be implementedin a primary health care setting. According to our results,22 subjects with impaired glucose tolerance must be treatedin this way for one year or 5 subjects for five years to prevent one case of diabetes.
Supported by the Finnish Academy (grants 8473/2298, 40758/5767,and 38387/54175), the Ministry of Education, the Novo NordiskFoundation, the Yrjö Jahnsson Foundation, and the FinnishDiabetes Research Foundation.
We are indebted to Ms. Kirsi Frantsi, Mr. Olli Heinonen, Ms.Katri Hemiö, Ms. Pirjo Härkönen, Ms. Pia Högström,Ms. Anja Ilmanen, Ms. Kaija Kettunen, Ms. Paivi Kleemola, Ms.Anna Korhonen, Ms. Marjukka Lauhkonen, Ms. Pirjo Lehto, Ms.Liisa Mikkola, Ms. Paula Nyholm, and Ms. Arja Putila for theirskillful assistance in performing the study; to Dr. Timo Lakkaand Professor Jukka T. Salonen for their expert advice concerningthe assessment of exercise; to Professor Marja-Riitta Taskinenand Professor Antti Aro for their participation on the end-pointscommittee; and to Dr. William C. Knowler for his important contributionto the planning of our study.
Source Information
From the Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki (J.T., J.L., J.G.E., T.T.V.); the Department of Public Health, University of Helsinki (J.T.); the Research and Development Center, Social Insurance Institution, Turku (H.H., M.R.); the Department of Internal Medicine, Finnish Diabetes Association and Tampere University Hospital, Tampere (P.I.-P.); the Department of Public Health Science and General Practice, University of Oulu, and the Unit of General Practice, Oulu University Hospital, Oulu (S.K.-K., M.L.); the Department of Clinical Nutrition, University of Kuopio, Kuopio (A.L., M.U.); and the Institute of Nursing and Health Care, Tampere (V.S.) all in Finland.
Other authors were Sirkka Aunola, Ph.D., Research and Development Center, Social Insurance Institution, Turku; Zygimantas Cepaitis, Dipl.Eng., and Vladislav Moltchanov, Ph.D., Diabetes and Genetic Epidemiology Unit, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki; Martti Hakumäki, M.D., Ph.D., Department of Clinical Nutrition, University of Kuopio, Kuopio; Marjo Mannelin, M.S., and Vesa Martikkala, M.S., Department of Sports Medicine, Oulu Deaconess Institute, Oulu; and Jouko Sundvall, M.S., Department of Biochemistry, National Public Health Institute, Helsinki all in Finland.
Address reprint requests to Professor Tuomilehto at the National Public Health Institute, Department of Epidemiology and Health Promotion, Diabetes and Genetic Epidemiology Unit, Mannerheimintie 166, FIN-00300 Helsinki, Finland, or at jaakko.tuomilehto{at}ktl.fi.
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