***TASK*** the task is to summarize an input biomedical literature in six sentences 
    ***INPUT*** the input is a biomedical literature 
    ***OUTPUT*** the output is the summary of an input biomedical literature in six sentences 
    ***DOCUMENTATION*** 
    ***EXAMPLES*** 
    Input: Background Prevalence of type 2 diabetes ( T2D ) is increasing worldwide . T2D prevention by lifestyle intervention is effective . Pragmatic scalable interventions are needed , with evidence to efficiently target and monitor such interventions . We report pooled analyses of data from three European trial cohorts : to analyse T2D incidence , sustained weight loss and utility of risk predictors . Methods We analysed data on 749 adults with impaired glucose tolerance ( 278 men and 471 women , mean age 56 years , mean BMI 31 kgm−2 ) recruited between 1993 and 2003 , and r and omised to intensive lifestyle intervention ( I ) or lifestyle advice control ( C ) . The intervention aim ed to increase physical activity , modify diet , and promote weight loss≥5 % . Using Cox-regression survival analysis , we assessed T2D incidence and the impact on T2D incidence of sustained weight loss , and of baseline cut-point values of FINDRISC score , fasting plasma glucose ( FPG ) , and HbA1c . Results Mean follow-up duration was 3.1 years . T2D was diagnosed in 139 participants ( I = 45/379 , C = 94/370 ) . Cumulative T2D incidence was 57 % lower in the intervention compared with the control group ( HR 0.42 ( 95 % CI 0.29 to 0.60 ) P<0.001 ) . Participants with ≥5 % weight loss at one year had 65 % lower T2D incidence ( HR 0.35 ( 95 % CI 0.22 to 0.56 ) P<0.001 ) ; maintaining ≥5 % weight loss for two and three years further reduced T2D incidence . Recommended cut-points to identify those at high risk for T2D would have identified different proportions of European Diabetes Prevention Study ( EDIPS ) participants with similar hazard-ratios for intervention effect . Conclusions Pooled analysis of EDIPS trial data reinforces evidence for T2D prevention by lifestyle intervention . Analysis showed the preventive effect of ≥5 % weight loss , especially if maintained long term , which has utility for intervention monitoring . Analysis of proposed cut-points demonstrates difficulties in balancing risk and benefit , to efficiently target interventions and suggests evidence is needed to define clinical policy . Trial registration s The Finnish Diabetes Prevention study , Helsinki , Finl and : Clinical Trials.gov ; NCT00518167 The SLIM diabetes prevention study , Maastricht , The Netherl and s : Clinical Trials.gov ; NCT00381186 The EDIPS-Newcastle diabetes prevention study , Newcastle upon Tyne , UK : International St and ard R and omised Controlled Trial Number ; IS RCT N15670600 OBJECTIVE Changing dietary and physical activity habits has the potential to postpone or prevent the development of type 2 diabetes . However , it needs to be assessed whether moderate interventions , in agreement with current guidelines for the general population , are effective . We evaluated the impact of a 2-year combined diet and physical activity intervention program on glucose tolerance in Dutch subjects at increased risk for developing diabetes . RESEARCH METHODS AND PROCEDURES Subjects with glucose intolerance were r and omly assigned to either the lifestyle intervention group ( INT ) or control group ( CON ) . The INT received regular dietary advice and was stimulated to increase their physical activity . The CON received a brief leaflet about healthy diet and increased physical activity . Primary outcome measure was the change in glucose tolerance . RESULTS In total , 88 subjects completed 2 years of intervention ( 40 subjects in the INT , 48 subjects in the CON , mean BMI 29.4 kg/m2 ) . Subjects in the INT reduced their body weight , waist circumference , and ( saturated ) fat intake and improved their aerobic capacity . Two-hour plasma glucose concentration declined from 8.7 to 8.0 mM in the INT and rose from 8.6 to 9.4 mM in the CON ( p < 0.01 ) . Subjects adherent to both the diet and exercise intervention showed the largest reduction in 2-hour glucose levels . DISCUSSION Our results showed that a lifestyle intervention program according to general recommendations improves glucose tolerance , even in a less obese and more physical active population . Furthermore , our results underscore the importance of combining diet and physical activity to improve glucose tolerance and insulin resistance OBJECTIVE To test the effects of two Mediterranean diet ( MedDiet ) interventions versus a low-fat diet on incidence of diabetes . RESEARCH DESIGN AND METHODS This was a three-arm r and omized trial in 418 nondiabetic subjects aged 55–80 years recruited in one center ( PREDIMED-Reus , northeastern Spain ) of the Prevención con Dieta Mediterránea [ PREDIMED ] study , a large nutrition intervention trial for primary cardiovascular prevention in individuals at high cardiovascular risk . Participants were r and omly assigned to education on a low-fat diet ( control group ) or to one of two MedDiets , supplemented with either free virgin olive oil ( 1 liter/week ) or nuts ( 30 g/day ) . Diets were ad libitum , and no advice on physical activity was given . The main outcome was diabetes incidence diagnosed by the 2009 American Diabetes Association criteria . RESULTS After a median follow-up of 4.0 years , diabetes incidence was 10.1 % ( 95 % CI 5.1–15.1 ) , 11.0 % ( 5.9–16.1 ) , and 17.9 % ( 11.4–24.4 ) in the MedDiet with olive oil group , the MedDiet with nuts group , and the control group , respectively . Multivariable adjusted hazard ratios of diabetes were 0.49 ( 0.25–0.97 ) and 0.48 ( 0.24–0.96 ) in the MedDiet supplemented with olive oil and nuts groups , respectively , compared with the control group . When the two MedDiet groups were pooled and compared with the control group , diabetes incidence was reduced by 52 % ( 27–86 ) . In all study arms , increased adherence to the MedDiet was inversely associated with diabetes incidence . Diabetes risk reduction occurred in the absence of significant changes in body weight or physical activity . CONCLUSIONS MedDiets without calorie restriction seem to be effective in the prevention of diabetes in subjects at high cardiovascular risk OBJECTIVE To examine associations between type 2 diabetes and fiber , glycemic load ( GL ) , dietary glycemic index ( GI ) , and fiber-rich foods . RESEARCH DESIGN AND METHODS This was a prospect i ve study of 36,787 men and women aged 40 - 69 years without diabetes . For all self-reported cases of diabetes at 4-year follow-up , confirmation of diagnosis was sought from medical practitioners . Case subjects were those who reported diabetes at follow-up and for whom there was no evidence that they did not have type 2 diabetes . Data were analyzed with logistic regression , adjusting for country of birth , physical activity , family history of diabetes , alcohol and energy intake , education , 5-year weight change , sex , and age . RESULTS Follow-up was completed by 31,641 ( 86 % ) participants , and 365 cases were identified . The odds ratio ( OR ) for the highest quartile of white bread intake compared with the lowest was 1.37 ( 95 % CI 1.04 - 1.81 ; P for trend = 0.001 ) . Intakes of carbohydrate ( OR per 200 g/day 0.58 , 0.36 - 0.95 ) , sugars ( OR per 100 g/day 0.61 , 0.47 - 0.79 ) , and magnesium ( OR per 500 mg/day 0.62 , 0.43 - 0.90 ) were inversely associated with incidence of diabetes , whereas intake of starch ( OR per 100 g/day 1.47 , 1.06 - 2.05 ) and dietary GI ( OR per 10 units 1.32 , 1.05 - 1.66 ) were positively associated with diabetes . These relationships were attenuated after adjustment for BMI and waist-to-hip ratio . CONCLUSIONS Reducing dietary GI while maintaining a high carbohydrate intake may reduce the risk of type 2 diabetes . One way to achieve this would be to substitute white bread with low-GI breads Background The heterogeneity statistic I2 , interpreted as the percentage of variability due to heterogeneity between studies rather than sampling error , depends on precision , that is , the size of the studies included . Methods Based on a real meta- analysis , we simulate artificially ' inflating ' the sample size under the r and om effects model . For a given inflation factor M = 1 , 2 , 3 , ... and for each trial i , we create a M-inflated trial by drawing a treatment effect estimate from the r and om effects model , using si2MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi = xH8viVGI8Gi = hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY = rqGqVepae9pg0db9vqaiVgFr0xfr = xfr = xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaGaem4Cam3aa0baaSqaaiabdMgaPbqaaiabikdaYaaaaaa@2FBE@/M as within-trial sampling variance . Results As precision increases , while estimates of the heterogeneity variance τ2 remain unchanged on average , estimates of I2 increase rapidly to nearly 100 % . A similar phenomenon is apparent in a sample of 157 meta-analyses . Conclusion When deciding whether or not to pool treatment estimates in a meta- analysis , the yard-stick should be the clinical relevance of any heterogeneity present . τ2 , rather than I2 , is the appropriate measure for this purpose Background : Weight loss is a key factor in reducing diabetes risk . The Diabetes Prevention Program ( DPP ) is a completed clinical trial that r and omly assigned individuals at high risk of diabetes to a placebo ( PLBO ) , metformin ( MET ) , or intensive lifestyle intervention ( ILS ) group , which included physical activity ( PA ) and reduced dietary fat intake . Objective : We aim ed to evaluate the associations between diet and weight at baseline and to identify specific dietary factors that predicted weight loss among DPP participants . Methods : Diet was assessed by a food frequency question naire . The associations between intakes of macronutrients and various food groups and body weight among DPP participants at baseline were assessed by linear regression , adjusted for race/ethnicity , age , sex , calorie intake , and PA . Models that predicted weight loss at year 1 were adjusted for baseline weight , change in calorie intake , and change in PA and stratified by treatment allocation ( MET , ILS , and PLBO ) . All results are presented as estimates ± SEs . Results : A total of 3234 participants were enrolled in the DPP ; 2924 had completed dietary data ( 67.5 % women ; mean age : 50.6 ± 10.7 y ) . Adjusted for calorie intake , baseline weight was negatively associated with carbohydrate intake ( -1.14 ± 0.18 kg body weight/100 kcal carbohydrate , P < 0.0001 ) and , specifically , dietary fiber ( -1.26 ± 0.28 kg/5 g fiber , P < 0.0001 ) . Baseline weight was positively associated with total fat ( 1.25 ± 0.21 kg/100 kcal , P < 0.0001 ) , saturated fat ( 1.96 ± 0.46 kg/100 kcal , P < 0.0001 ) , and protein ( 0.21 ± 0.05 kg/100 kcal , P < 0.0001 ) . For all groups , weight loss after 1 y was associated with increases in carbohydrate intake , specifically dietary fiber , and decreases in total fat and saturated fat intake . Conclusions : Higher carbohydrate consumption among DPP participants , specifically high-fiber carbohydrates , and lower total and saturated fat intake best predicted weight loss when adjusted for changes in calorie intake . Our results support the benefits of a high-carbohydrate , high-fiber , low-fat diet in the context of overall calorie reduction leading to weight loss , which may prevent diabetes in high-risk individuals . This trial was registered at clinical trials.gov as NCT00004992 Background / objectives Vegetarian diets are inversely associated with diabetes in Westerners but their impact on Asians — whose pathophysiology differ from Westerners — is unknown . We aim to investigate the association between a vegetarian diet , change in dietary patterns and diabetes risk in a Taiwanese Buddhist population . Methods We prospect 
    Output:
    
We conclude that T2D is preventable by changing lifestyle and the risk reduction is sustained for many years after the active intervention ( high certainty of evidence ) .
There is limited or insufficient data to show that prevention of T2D by lifestyle changes results in a lower risk of cardiovascular and microvascular complications