Subscribe to RSS
DOI: 10.1055/s-0029-1240928
© Georg Thieme Verlag KG Stuttgart · New York
A European Evidence-Based Guideline for the Prevention of Type 2 Diabetes
Publication History
Publication Date:
13 April 2010 (online)

Abstract
Background: The prevalence and socioeconomic burden of type 2 diabetes (T2DM) and associated co-morbidities are rising worldwide. Aims: This guideline provides evidence-based recommendations for preventing T2DM. Methods: A European multidisciplinary consortium systematically reviewed the evidence on the effectiveness of screening and interventions for T2DM prevention using SIGN criteria. Results: Obesity and sedentary lifestyle are the main modifiable risk factors. Age and ethnicity are non-modifiable risk factors. Case-finding should follow a step-wise procedure using risk questionnaires and oral glucose tolerance testing. Persons with impaired glucose tolerance and/or fasting glucose are at high-risk and should be prioritized for intensive intervention. Interventions supporting lifestyle changes delay the onset of T2DM in high-risk adults (number-needed-to-treat: 6.4 over 1.8–4.6 years). These should be supported by inter-sectoral strategies that create health promoting environments. Sustained body weight reduction by ≥ 5 % lowers risk. Currently metformin, acarbose and orlistat can be considered as second-line prevention options. The population approach should use organized measures to raise awareness and change lifestyle with specific approaches for adolescents, minorities and disadvantaged people. Interventions promoting lifestyle changes are more effective if they target both diet and physical activity, mobilize social support, involve the planned use of established behaviour change techniques, and provide frequent contacts. Cost-effectiveness analysis should take a societal perspective. Conclusions: Prevention using lifestyle modifications in high-risk individuals is cost-effective and should be embedded in evaluated models of care. Effective prevention plans are predicated upon sustained government initiatives comprising advocacy, community support, fiscal and legislative changes, private sector engagement and continuous media communication.
References
- 1
Cautinho M, Gerstein H C, Wang Y, Yusuf S.
The relationship between glucose and incident cardiovascular events. A metaregression
analysis of published data from 20 studies of 95,783 individuals followed for 12.4
years.
Diabetes Care.
1999;
22 (Suppl. 2)
233-240
MissingFormLabel
- 2
Tominaga M, Eguchi H, Manaka H, Igarashi K, Kato T, Sekikawa A.
Impaired glucose tolerance is a risk factor for cardiovascular disease, but not impaired
fasting glucose. The Funagata Diabetes Study.
Diabetes Care.
1999;
22
920-924
MissingFormLabel
- 3
Galassi A, Reynolds K, He J.
Metabolic syndrome and risk of cardiovascular disease: a meta-analysis.
Am J Med.
2006;
119
812-819
MissingFormLabel
- 4
Narayan K M, Boyle J P, Thompson T J, Sorensen S W, Williamson D F.
Lifetime risk for diabetes mellitus in the United States.
JAMA.
2003;
290
1884-1890
MissingFormLabel
- 5
The DECODE Study Group on behalf of the European Diabetes Epidemiology Group .
Glucose tolerance and cardiovascular mortality: comparison of fasting and 2-hour diagnostic
criteria.
Arch Intern Med.
2001;
161
397-405
MissingFormLabel
- 6
Shaw J.
Epidemiology of childhood type 2 diabetes and obesity.
Pediatr Diabetes.
2007;
8 (Suppl. 9)
7-15
MissingFormLabel
- 7
Rocchini A P.
Childhood obesity and a diabetes epidemic.
N Engl J Med.
2002;
346
854-855
MissingFormLabel
- 8
Arslanian S A.
Type 2 diabetes mellitus in children: pathophysiology and risk factors.
J Pediatr Endocrinol Metab.
2000;
13 (Suppl. 6)
1385-1394
MissingFormLabel
- 9
Cali A M, Caprio S.
Prediabetes and type 2 diabetes in youth: an emerging epidemic disease?.
Curr Opin Endocrinol Diabetes Obes.
2008;
15
123-127
MissingFormLabel
- 10
Zimmet P, Alberti K G, Kaufman F, Tajima N, Silink M, Arslanian S, Wong G, Bennett P, Shaw J, Caprio S.
The metabolic syndrome in children and adolescents – an IDF consensus report.
Pediatr Diabetes.
2007;
8
299-306
MissingFormLabel
- 11
Fagot-Campagna A.
Emergence of type 2 diabetes mellitus in children: epidemiological evidence.
J Pediatr Endocrinol Metab.
2000;
13 (Suppl. 6)
1395-1402
MissingFormLabel
- 12
Dimitrijevic-Sreckovic V, Colak E, Djordjevic P, Gostiljac D, Sreckovic B, Popovic S, Canovic F, Ilic M, Obrenovic R, Vukcevic V, Nikolic D, Nisic T, Milic G, Pejcic G.
Prothrombogenic factors and reduced antioxidative defense in children and adolescents
with pre-metabolic and metabolic syndrome.
Clin Chem Lab Med.
2007;
45
1140-1144
MissingFormLabel
- 13
Dietz W H.
Health consequences of obesity in youth: childhood predictors of adult disease.
Pediatrics.
1998;
101
518-525
MissingFormLabel
- 14
Barnett A H, Eff C, Leslie R D, Pyke D A.
Diabetes in identical twins. A study of 200 pairs.
Diabetologia.
1981;
20
87-93
MissingFormLabel
- 15
Newman B, Selby J V, King M C, Slemenda C, Fabsitz R, Friedman G D.
Concordance for type 2 (non-insulin-dependent) diabetes mellitus in male twins.
Diabetologia.
1987;
30
763-768
MissingFormLabel
- 16
Poulsen P, Kyvik K O, Vaag A, Beck-Nielsen H.
Heritability of type II (non-insulin-dependent) diabetes mellitus and abnormal glucose
tolerance–a population-based twin study.
Diabetologia.
1999;
42
139-145
MissingFormLabel
- 17
Tattersall R B, Pyke D A.
Discordant identical twins. IV. Diabetes mellitus.
Practitioner.
1972;
209
569-573
MissingFormLabel
- 18
Thomas F, Balkau B, Vauzelle-Kervroedan F, Papoz L.
Maternal effect and familial aggregation in NIDDM. The CODIAB Study. CODIAB-INSERM-ZENECA
Study Group.
Diabetes.
1994;
43
63-67
MissingFormLabel
- 19
Lyssenko V, Jonsson A, Almgren P, Pulizzi N, Isomaa B, Tuomi T, Berglund G, Altshuler D, Nilsson P, Groop L.
Clinical risk factors, DNA variants, and the development of type 2 diabetes.
N Engl J Med.
2008;
359
2220-2232
MissingFormLabel
- 20
Carulli L, Rondinella S, Lombardini S, Canedi I, Loria P, Carulli N.
Review article: diabetes, genetics and ethnicity.
Aliment Pharmacol Ther.
2005;
22 (Suppl. 2)
16-19
MissingFormLabel
- 21
Wellcome Trust Case Control Consortium .
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared
controls.
Nature.
2007;
447
661-678
MissingFormLabel
- 22
Frayling T M.
Genome-wide association studies provide new insights into type 2 diabetes aetiology.
Nat Rev Genet.
2007;
8
657-662
MissingFormLabel
- 23
Saxena R, Voight B F, Lyssenko V, Burtt N P, de Bakker P I, Chen H, Roix J J, Kathiresan S, Hirschhorn J N, Daly M J, Hughes T E, Groop L, Altshuler D, Almgren P, Florez J C, Meyer J, Ardlie K, Bengtsson Bostrom K, Isomaa B, Lettre G, Lindblad U, Lyon H N, Melander O, Newton-Cheh C, Nilsson P, Orho-Melander M, Rastam L, Speliotes E K, Taskinen M R, Tuomi T, Guiducci C, Berglund A, Carlson J, Gianniny L, Hackett R, Hall L, Holmkvist J, Laurila E, Sjogren M, Sterner M, Surti A, Svensson M, Tewhey R, Blumenstiel B, Parkin M, Defelice M, Barry R, Brodeur W, Camarata J, Chia N, Fava M, Gibbons J, Handsaker B, Healy C, Nguyen K, Gates C, Sougnez C, Gage D, Nizzari M, Gabriel S B, Chirn G W, Ma Q, Parikh H, Richardson D, Ricke D, Purcell S.
Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride
levels.
Science.
2007;
316
1331-1336
MissingFormLabel
- 24
Sladek R, Rocheleau G, Rung J, Dina C, Shen L, Serre D, Boutin P, Vincent D, Belisle A, Hadjadj S, Balkau B, Heude B, Charpentier G, Hudson T J, Montpetit A, Pshezhetsky A V, Prentki M, Posner B I, Balding D J, Meyre D, Polychronakos C, Froguel P.
A genome-wide association study identifies novel risk loci for type 2 diabetes.
Nature.
2007;
445
881-885
MissingFormLabel
- 25
Zeggini E, Scott L J, Saxena R, Voight B F, Marchini J L, Hu T, de Bakker P I, Abecasis G R, Almgren P, Andersen G, Ardlie K, Bostrom K B, Bergman R N, Bonnycastle L L, Borch-Johnsen K, Burtt N P, Chen H, Chines P S, Daly M J, Deodhar P, Ding C J, Doney A S, Duren W L, Elliott K S, Erdos M R, Frayling T M, Freathy R M, Gianniny L, Grallert H, Grarup N, Groves C J, Guiducci C, Hansen T, Herder C, Hitman G A, Hughes T E, Isomaa B, Jackson A U, Jorgensen T, Kong A, Kubalanza K, Kuruvilla F G, Kuusisto J, Langenberg C, Lango H, Lauritzen T, Li Y, Lindgren C M, Lyssenko V, Marvelle A F, Meisinger C, Midthjell K, Mohlke K L, Morken M A, Morris A D, Narisu N, Nilsson P, Owen K R, Palmer C N, Payne F, Perry J R, Pettersen E, Platou C, Prokopenko I, Qi L, Qin L, Rayner N W, Rees M, Roix J J, Sandbaek A, Shields B, Sjogren M, Steinthorsdottir V, Stringham H M, Swift A J, Thorleifsson G, Thorsteinsdottir U, Timpson N J, Tuomi T, Tuomilehto J, Walker M, Watanabe R M, Weedon M N, Willer C J, Illig T, Hveem K, Hu F B, Laakso M, Stefansson K, Pedersen O, Wareham N J, Barroso I, Hattersley A T, Collins F S, Groop L, McCarthy M I, Boehnke M, Altshuler D.
Meta-analysis of genome-wide association data and large-scale replication identifies
additional susceptibility loci for type 2 diabetes.
Nat Genet.
2008;
40
638-645
MissingFormLabel
- 26
Zeggini E, Weedon M N, Lindgren C M, Frayling T M, Elliott K S, Lango H, Timpson N J, Perry J R, Rayner N W, Freathy R M, Barrett J C, Shields B, Morris A P, Ellard S, Groves C J, Harries L W, Marchini J L, Owen K R, Knight B, Cardon L R, Walker M, Hitman G A, Morris A D, Doney A S, McCarthy M I, Hattersley A T.
Replication of genome-wide association signals in UK samples reveals risk loci for
type 2 diabetes.
Science.
2007;
316
1336-1341
MissingFormLabel
- 27
Stolerman E S, Florez J C.
Genomics of type 2 diabetes mellitus: implications for the clinician.
Nat Rev Endocrinol.
2009;
5
429-436
MissingFormLabel
- 28
Fujimoto W Y.
Overview of non-insulin-dependent diabetes mellitus (NIDDM) in different population
groups.
Diabet Med.
1996;
13
S7-10
MissingFormLabel
- 29
Umpierrez G E, Gonzalez A, Umpierrez D, Pimentel D.
Diabetes mellitus in the Hispanic/Latino population: an increasing health care challenge
in the United States.
Am J Med Sci.
2007;
334
274-282
MissingFormLabel
- 30
Davis T M.
Ethnic diversity in type 2 diabetes.
Diabet Med.
2008;
25 (Suppl. 2)
52-56
MissingFormLabel
- 31
Abate N, Chandalia M.
Ethnicity and type 2 diabetes: focus on Asian Indians.
J Diabetes Complications.
2001;
15
320-327
MissingFormLabel
- 32
American Diabetes Association .
Gestational diabetes mellitus.
Diabetes Care.
2004;
27 (Suppl. 1)
S88-90
MissingFormLabel
- 33
American Diabetes Association .
Executive summary: standards of medical care in diabetes – 2009.
Diabetes Care.
2009;
32 (Suppl. 1)
S6-12
MissingFormLabel
- 34
Ben-Haroush A, Yogev Y, Hod M.
Epidemiology of gestational diabetes mellitus and its association with Type 2 diabetes.
Diabet Med.
2004;
21
103-113
MissingFormLabel
- 35
Bellamy L, Casas J P, Hingorani A D, Williams D.
Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis.
Lancet.
2009;
373
1773-1779
MissingFormLabel
- 36
Dooley S L, Metzger B E, Cho N H.
Gestational diabetes mellitus. Influence of race on disease prevalence and perinatal
outcome in a U.S. population.
Diabetes.
1991;
40 (Suppl. 2)
25-29
MissingFormLabel
- 37
Ratner R E, Christophi C A, Metzger B E, Dabelea D, Bennett P H, Pi-Sunyer X, Fowler S, Kahn S E.
Prevention of diabetes in women with a history of gestational diabetes: effects of
Metformin and lifestyle interventions.
J Clin Endocrinol Metab.
2008;
93
4774-4779
MissingFormLabel
- 38
Metzger B E, Buchanan T A, Coustan D R, de Leiva A, Dunger D B, Hadden D R, Hod M, Kitzmiller J L, Kjos S L, Oats J N, Pettitt D J, Sacks D A, Zoupas C.
Summary and recommendations of the Fifth International Workshop-Conference on Gestational
Diabetes Mellitus.
Diabetes Care.
2007;
30 (Suppl. 2)
S251-260
MissingFormLabel
- 39
Norman R J, Dewailly D, Legro R S, Hickey T E.
Polycystic ovary syndrome.
Lancet.
2007;
370
685-697
MissingFormLabel
- 40 Dunaif A, Givens J R, Haseltine F P eds.. Diagnostic criteria for polycystic ovary syndrome: towards a rational approach. Chap.:
Polycystic ovary syndrome. Boston; Blackwell Scientific Publications 1992
MissingFormLabel
- 41
Rotterdam ESHRE/ASRM-sponsored PCOS Consensus Workshop Group .
Revised 2003 consensus on diagnostic criteria and long-term health risks related to
polycystic ovary syndrome.
Fertil Steril.
2004;
81
19-25
MissingFormLabel
- 42
Azziz R, Carmina E, Dewailly D, Diamanti-Kandarakis E, Escobar-Morreale H F, Futterweit W, Janssen O E, Legro R S, Norman R J, Taylor A E, Witchel S F.
Positions statement: criteria for defining polycystic ovary syndrome as a predominantly
hyperandrogenic syndrome: an Androgen Excess Society guideline.
J Clin Endocrinol Metab.
2006;
91
4237-4245
MissingFormLabel
- 43
Goodarzi M O, Azziz R.
Diagnosis, epidemiology, and genetics of the polycystic ovary syndrome.
Best Pract Res Clin Endocrinol Metab.
2006;
20
193-205
MissingFormLabel
- 44
Broekmans F J, Knauff E A, Valkenburg O, Laven J S, Eijkemans M J, Fauser B C.
PCOS according to the Rotterdam consensus criteria: Change in prevalence among WHO-II
anovulation and association with metabolic factors.
BJOG.
2006;
113
1210-1217
MissingFormLabel
- 45
Dabadghao P, Roberts B J, Wang J, Davies M J, Norman R J.
Glucose tolerance abnormalities in Australian women with polycystic ovary syndrome.
Med J Aust.
2007;
187
328-331
MissingFormLabel
- 46
Ehrmann D A, Barnes R B, Rosenfield R L, Cavaghan M K, Imperial J.
Prevalence of impaired glucose tolerance and diabetes in women with polycystic ovary
syndrome.
Diabetes Care.
1999;
22
141-146
MissingFormLabel
- 47
Dunaif A.
Hyperandrogenic anovulation (PCOS): a unique disorder of insulin action associated
with an increased risk of non-insulin-dependent diabetes mellitus.
Am J Med.
1995;
98
33S-39S
MissingFormLabel
- 48
Laven J S, Imani B, Eijkemans M J, Fauser B C.
New approach to polycystic ovary syndrome and other forms of anovulatory infertility.
Obstet Gynecol Surv.
2002;
57
755-767
MissingFormLabel
- 49
Boomsma C M, Fauser B C, Macklon N S.
Pregnancy complications in women with polycystic ovary syndrome.
Semin Reprod Med.
2008;
26
72-84
MissingFormLabel
- 50
Boomsma C M, Eijkemans M J, Hughes E G, Visser G H, Fauser B C, Macklon N S.
A meta-analysis of pregnancy outcomes in women with polycystic ovary syndrome.
Hum Reprod Update.
2006;
12
673-683
MissingFormLabel
- 51
Harris M I.
Impaired glucose tolerance in the U.S. population.
Diabetes Care.
1989;
12
464-474
MissingFormLabel
- 52
DeFronzo R A, Ferrannini E.
Insulin resistance. A multifaceted syndrome responsible for NIDDM, obesity, hypertension,
dyslipidemia, and atherosclerotic cardiovascular disease.
Diabetes Care.
1991;
14
173-194
MissingFormLabel
- 53
Norris S L, Zhang X, Avenell A, Gregg E, Schmid C H, Lau J.
Long-term non-pharmacological weight loss interventions for adults with prediabetes.
Cochrane Database Syst Rev.
2005;
CD005270
MissingFormLabel
- 54
Cummings D E, Flum D R.
Gastrointestinal surgery as a treatment for diabetes.
JAMA.
2008;
299
341-343
MissingFormLabel
- 55
Colditz G A, Willett W C, Rotnitzky A, Manson J E.
Weight gain as a risk factor for clinical diabetes mellitus in women.
Ann Intern Med.
1995;
122
481-486
MissingFormLabel
- 56
Chan J M, Rimm E B, Colditz G A, Stampfer M J, Willett W C.
Obesity, fat distribution, and weight gain as risk factors for clinical diabetes in
men.
Diabetes Care.
1994;
17
961-969
MissingFormLabel
- 57
Meisinger C, Doring A, Thorand B, Heier M, Lowel H.
Body fat distribution and risk of type 2 diabetes in the general population: are there
differences between men and women? The MONICA/KORA Augsburg cohort study.
Am J Clin Nutr.
2006;
84
483-489
MissingFormLabel
- 58
Vazquez G, Duval S, Jacobs Jr D R, Silventoinen K.
Comparison of body mass index, waist circumference, and waist/hip ratio in predicting
incident diabetes: a meta-analysis.
Epidemiol Rev.
2007;
29
115-128
MissingFormLabel
- 59
Rana J S, Li T Y, Manson J E, Hu F B.
Adiposity compared with physical inactivity and risk of type 2 diabetes in women.
Diabetes Care.
2007;
30
53-58
MissingFormLabel
- 60
Hamman R F, Wing R R, Edelstein S L, Lachin J M, Bray G A, Delahanty L, Hoskin M, Kriska A M, Mayer-Davis E J, Pi-Sunyer X, Regensteiner J, Venditti B, Wylie-Rosett J.
Effect of weight loss with lifestyle intervention on risk of diabetes.
Diabetes Care.
2006;
29
2102-2107
MissingFormLabel
- 61
Tuomilehto J, Lindstrom J, Eriksson J G, Valle T T, Hamalainen H, Ilanne-Parikka P, Keinanen-Kiukaanniemi S, Laakso M, Louheranta A, Rastas M, Salminen V, Uusitupa M.
Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with
impaired glucose tolerance.
N Engl J Med.
2001;
344
1343-1350
MissingFormLabel
- 62
Helmrich S P, Ragland D R, Leung R W, Paffenbarger Jr R S.
Physical activity and reduced occurrence of non-insulin-dependent diabetes mellitus.
N Engl J Med.
1991;
325
147-152
MissingFormLabel
- 63
Hu F B, Sigal R J, Rich-Edwards J W, Colditz G A, Solomon C G, Willett W C, Speizer F E, Manson J E.
Walking compared with vigorous physical activity and risk of type 2 diabetes in women:
a prospective study.
JAMA.
1999;
282
1433-1439
MissingFormLabel
- 64
Hu G, Lindstrom J, Valle T T, Eriksson J G, Jousilahti P, Silventoinen K, Qiao Q, Tuomilehto J.
Physical activity, body mass index, and risk of type 2 diabetes in patients with normal
or impaired glucose regulation.
Arch Intern Med.
2004;
164
892-896
MissingFormLabel
- 65
Knowler W C, Barrett-Connor E, Fowler S E, Hamman R F, Lachin J M, Walker E A, Nathan D M.
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin.
N Engl J Med.
2002;
346
393-403
MissingFormLabel
- 66
Lynch J, Helmrich S P, Lakka T A, Kaplan G A, Cohen R D, Salonen R, Salonen J T.
Moderately intense physical activities and high levels of cardiorespiratory fitness
reduce the risk of non-insulin-dependent diabetes mellitus in middle-aged men.
Arch Intern Med.
1996;
156
1307-1314
MissingFormLabel
- 67
Manson J E, Nathan D M, Krolewski A S, Stampfer M J, Willett W C, Hennekens C H.
A prospective study of exercise and incidence of diabetes among US male physicians.
JAMA.
1992;
268
63-67
MissingFormLabel
- 68
Pan X R, Li G W, Hu Y H, Wang J X, Yang W Y, An Z X, Hu Z X, Lin J, Xiao J Z, Cao H B, Liu P A, Jiang X G, Jiang Y Y, Wang J P, Zheng H, Zhang H, Bennett P H, Howard B V.
Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance.
The Da Qing IGT and Diabetes Study.
Diabetes Care.
1997;
20
537-544
MissingFormLabel
- 69
Yamaoka K, Tango T.
Efficacy of lifestyle education to prevent type 2 diabetes: a meta-analysis of randomized
controlled trials.
Diabetes Care.
2005;
28
2780-2786
MissingFormLabel
- 70
Hales C N, Barker D J.
Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis.
Diabetologia.
1992;
35
595-601
MissingFormLabel
- 71
Valdez R, Athens M A, Thompson G H, Bradshaw B S, Stern M P.
Birthweight and adult health outcomes in a biethnic population in the USA.
Diabetologia.
1994;
37
624-631
MissingFormLabel
- 72
Forsen T, Eriksson J, Tuomilehto J, Reunanen A, Osmond C, Barker D.
The fetal and childhood growth of persons who develop type 2 diabetes.
Ann Intern Med.
2000;
133
176-182
MissingFormLabel
- 73
Phillips D I, Barker D J, Hales C N, Hirst S, Osmond C.
Thinness at birth and insulin resistance in adult life.
Diabetologia.
1994;
37
150-154
MissingFormLabel
- 74
Dyck R F, Klomp H, Tan L.
From “thrifty genotype” to “hefty fetal phenotype”: the relationship between high
birthweight and diabetes in Saskatchewan Registered Indians.
Can J Public Health.
2001;
92
340-344
MissingFormLabel
- 75
Harder T, Rodekamp E, Schellong K, Dudenhausen J W, Plagemann A.
Birth weight and subsequent risk of type 2 diabetes: a meta-analysis.
Am J Epidemiol.
2007;
165
849-857
MissingFormLabel
- 76
Hofman P L, Regan F, Jackson W E, Jefferies C, Knight D B, Robinson E M, Cutfield W S.
Premature birth and later insulin resistance.
N Engl J Med.
2004;
351
2179-2186
MissingFormLabel
- 77
Hovi P, Andersson S, Eriksson J G, Jarvenpaa A L, Strang-Karlsson S, Makitie O, Kajantie E.
Glucose regulation in young adults with very low birth weight.
N Engl J Med.
2007;
356
2053-2063
MissingFormLabel
- 78
Genuth S, Alberti K G, Bennett P, Buse J, Defronzo R, Kahn R, Kitzmiller J, Knowler W C, Lebovitz H, Lernmark A, Nathan D, Palmer J, Rizza R, Saudek C, Shaw J, Steffes M, Stern M, Tuomilehto J, Zimmet P.
Follow-up report on the diagnosis of diabetes mellitus.
Diabetes Care.
2003;
26
3160-3167
MissingFormLabel
- 79
Kim S H, Chunawala L, Linde R, Reaven G M.
Comparison of the 1997 and 2003 American Diabetes Association classification of impaired
fasting glucose: impact on prevalence of impaired fasting glucose, coronary heart
disease risk factors, and coronary heart disease in a community-based medical practice.
J Am Coll Cardiol.
2006;
48
293-297
MissingFormLabel
- 80
Alberti K G, Zimmet P Z.
Definition, diagnosis and classification of diabetes mellitus and its complications.
Part 1: diagnosis and classification of diabetes mellitus provisional report of a
WHO consultation.
Diabet Med.
1998;
15
539-553
MissingFormLabel
- 81
Gerstein H C, Santaguida P, Raina P, Morrison K M, Balion C, Hunt D, Yazdi H, Booker L.
Annual incidence and relative risk of diabetes in people with various categories of
dysglycemia: a systematic overview and meta-analysis of prospective studies.
Diabetes Res Clin Pract.
2007;
78
305-312
MissingFormLabel
- 82 Santaguida P L, Bailon C, Hunt D, Morrison K, Gerstein H, Raina P, Booker L, Yazdi H. Diagnosis, prognosis, and treatmentof impaired glicose tolerance and impaired fasting
glucose. AHRQ Evidence Reports and Summaries (2006); available at:. http://www.ahrq.gov
MissingFormLabel
- 83
de Vegt F, Dekker J M, Jager A, Hienkens E, Kostense P J, Stehouwer C D, Nijpels G, Bouter L M, Heine R J.
Relation of impaired fasting and postload glucose with incident type 2 diabetes in
a Dutch population: The Hoorn Study.
JAMA.
2001;
285
2109-2113
MissingFormLabel
- 84
Shaw J E, Zimmet P Z, de Courten M, Dowse G K, Chitson P, Gareeboo H, Hemraj F, Fareed D, Tuomilehto J, Alberti K G.
Impaired fasting glucose or impaired glucose tolerance. What best predicts future
diabetes in Mauritius?.
Diabetes Care.
1999;
22
399-402
MissingFormLabel
- 85
Stern M P, Williams K, Haffner S M.
(2002) Identification of persons at high risk for type 2 diabetes mellitus: do we
need the oral glucose tolerance test?.
Ann Intern Med.
2002;
136
575-581
MissingFormLabel
- 86
National Cholesterol Education Program (NCEP) .
Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on
Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment
Panel III) final report.
Circulation.
2002;
106
3143-3421
MissingFormLabel
- 87
Reaven G M.
Banting lecture 1988. Role of insulin resistance in human disease.
Diabetes.
1988;
37
1595-1607
MissingFormLabel
- 88
Grundy S M.
Does the metabolic syndrome exist?.
Diabetes Care.
2006;
29
1689-1692
discussion 1693
MissingFormLabel
- 89
Kahn R, Buse J, Ferrannini E, Stern M.
The metabolic syndrome: time for a critical appraisal: joint statement from the American
Diabetes Association and the European Association for the Study of Diabetes.
Diabetes Care.
2005;
28
2289-2304
MissingFormLabel
- 90
Oda E.
The metabolic syndrome (emperor) wears no clothes: response to Kahn.
Diabetes Care.
2006;
29
2566
MissingFormLabel
- 91
Alberti K G, Eckel R H, Grundy S M, Zimmet P Z, Cleeman J I, Donato K A, Fruchart J C, James W P, Loria C M, Smith Jr S C.
Harmonizing the metabolic syndrome: a joint interim statement of the International
Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung,
and Blood Institute; American Heart Association; World Heart Federation; International
Atherosclerosis Society; and International Association for the Study of Obesity.
Circulation.
2009;
120
1640-1645
MissingFormLabel
- 92
Ford E S, Li C, Sattar N.
Metabolic syndrome and incident diabetes: current state of the evidence.
Diabetes Care.
2008;
31
1898-1904
MissingFormLabel
- 93
Ford E S.
Risks for all-cause mortality, cardiovascular disease, and diabetes associated with
the metabolic syndrome: a summary of the evidence.
Diabetes Care.
2005;
28
1769-1778
MissingFormLabel
- 94
Stern M P, Williams K, Gonzalez-Villalpando C, Hunt K J, Haffner S M.
Does the metabolic syndrome improve identification of individuals at risk of type
2 diabetes and/or cardiovascular disease?.
Diabetes Care.
2004;
27
2676-2681
MissingFormLabel
- 95
Wilson P W, D'Agostino R B, Parise H, Sullivan L, Meigs J B.
Metabolic syndrome as a precursor of cardiovascular disease and type 2 diabetes mellitus.
Circulation.
2005;
112
3066-3072
MissingFormLabel
- 96
Lorenzo C, Williams K, Hunt K J, Haffner S M.
The National Cholesterol Education Program – Adult Treatment Panel III, International
Diabetes Federation, and World Health Organization definitions of the metabolic syndrome
as predictors of incident cardiovascular disease and diabetes.
Diabetes Care.
2007;
30
8-13
MissingFormLabel
- 97
Lindstrom J, Peltonen M, Eriksson J G, Louheranta A, Fogelholm M, Uusitupa M, Tuomilehto J.
High-fibre, low-fat diet predicts long-term weight loss and decreased type 2 diabetes
risk: the Finnish Diabetes Prevention Study.
Diabetologia.
2006;
49
912-920
MissingFormLabel
- 98
Salmeron J, Ascherio A, Rimm E B, Colditz G A, Spiegelman D, Jenkins D J, Stampfer M J, Wing A L, Willett W C.
Dietary fiber, glycemic load, and risk of NIDDM in men.
Diabetes Care.
1997;
20
545-550
MissingFormLabel
- 99
Salmeron J, Manson J E, Stampfer M J, Colditz G A, Wing A L, Willett W C.
Dietary fiber, glycemic load, and risk of non-insulin-dependent diabetes mellitus
in women.
JAMA.
1997;
277
472-477
MissingFormLabel
- 100
Stevens J, Ahn K, Juhaeri, Houston D, Steffan L, Couper D.
Dietary fiber intake and glycemic index and incidence of diabetes in African-American
and white adults: the ARIC study.
Diabetes Care.
2002;
25
1715-1721
MissingFormLabel
- 101
Anderson J W, Baird P, Davis Jr R H, Ferreri S, Knudtson M, Koraym A, Waters V, Williams C L.
Health benefits of dietary fiber.
Nutr Rev.
2009;
67
188-205
MissingFormLabel
- 102
Weickert M O, Pfeiffer A F.
Metabolic effects of dietary fiber consumption and prevention of diabetes.
J Nutr.
2008;
138
439-442
MissingFormLabel
- 103
Meyer K A, Kushi L H, Jacobs Jr D R, Slavin J, Sellers T A, Folsom A R.
Carbohydrates, dietary fiber, and incident type 2 diabetes in older women.
Am J Clin Nutr.
2000;
71
921-930
MissingFormLabel
- 104
Barclay A W, Petocz P, McMillan-Price J, Flood V M, Prvan T, Mitchell P, Brand-Miller J C.
Glycemic index, glycemic load, and chronic disease risk – a meta-analysis of observational
studies.
Am J Clin Nutr.
2008;
87
627-637
MissingFormLabel
- 105
Thanopoulou A C, Karamanos B G, Angelico F V, Assaad-Khalil S H, Barbato A F, Del Ben M P, Djordjevic P B, Dimitrijevic-Sreckovic V S, Gallotti C A, Katsilambros N L, Migdalis I N, Mrabet M M, Petkova M K, Roussi D P, Tenconi M T.
Dietary fat intake as risk factor for the development of diabetes: multinational,
multicenter study of the Mediterranean Group for the Study of Diabetes (MGSD).
Diabetes Care.
2003;
26
302-307
MissingFormLabel
- 106
Vessby B, Aro A, Skarfors E, Berglund L, Salminen I, Lithell H.
The risk to develop NIDDM is related to the fatty acid composition of the serum cholesterol
esters.
Diabetes.
1994;
43
1353-1357
MissingFormLabel
- 107
Wang L, Folsom A R, Zheng Z J, Pankow J S, Eckfeldt J H.
Plasma fatty acid composition and incidence of diabetes in middle-aged adults: the
Atherosclerosis Risk in Communities (ARIC) Study.
Am J Clin Nutr.
2003;
78
91-98
MissingFormLabel
- 108
Due A, Larsen T M, Hermansen K, Stender S, Holst J J, Toubro S, Martinussen T, Astrup A.
Comparison of the effects on insulin resistance and glucose tolerance of 6-mo high-monounsaturated-fat,
low-fat, and control diets.
Am J Clin Nutr.
2008;
87
855-862
MissingFormLabel
- 109
van Woudenbergh G J, van Ballegooijen A J, Kuijsten A, Sijbrands E J, van Rooij F J, Geleijnse J M, Hofman A, Witteman J C, Feskens E J.
Eating fish and risk of type 2 diabetes: A population-based, prospective follow-up
study.
Diabetes Care.
2009;
32
2021-2026
MissingFormLabel
- 110
Kaushik M, Mozaffarian D, Spiegelman D, Manson J E, Willett W C, Hu F B.
Long-chain omega-3 fatty acids, fish intake, and the risk of type 2 diabetes mellitus.
Am J Clin Nutr.
2009;
90
613-620
MissingFormLabel
- 111
Paniagua J A, de la Sacristana A G, Sanchez E, Romero I, Vidal-Puig A, Berral F J, Escribano A, Moyano M J, Perez-Martinez P, Lopez-Miranda J, Perez-Jimenez F.
A MUFA-rich diet improves posprandial glucose, lipid and GLP-1 responses in insulin-resistant
subjects.
J Am Coll Nutr.
2007;
26
434-444
MissingFormLabel
- 112
Salmeron J, Hu F B, Manson J E, Stampfer M J, Colditz G A, Rimm E B, Willett W C.
Dietary fat intake and risk of type 2 diabetes in women.
Am J Clin Nutr.
2001;
73
1019-1026
MissingFormLabel
- 113
Mente A, de Koning L, Shannon H S, Anand S S.
A systematic review of the evidence supporting a causal link between dietary factors
and coronary heart disease.
Arch Intern Med.
2009;
169
659-669
MissingFormLabel
- 114
Conigrave K M, Hu B F, Camargo Jr C A, Stampfer M J, Willett W C, Rimm E B.
A prospective study of drinking patterns in relation to risk of type 2 diabetes among
men.
Diabetes.
2001;
50
2390-2395
MissingFormLabel
- 115
Stampfer M J, Colditz G A, Willett W C, Manson J E, Arky R A, Hennekens C H, Speizer F E.
A prospective study of moderate alcohol drinking and risk of diabetes in women.
Am J Epidemiol.
1988;
128
549-558
MissingFormLabel
- 116
Ford E S, Mokdad A H.
Fruit and vegetable consumption and diabetes mellitus incidence among U.S. adults.
Prev Med.
2001;
32
33-39
MissingFormLabel
- 117
Jiang R, Manson J E, Stampfer M J, Liu S, Willett W C, Hu F B.
Nut and peanut butter consumption and risk of type 2 diabetes in women.
JAMA.
2002;
288
2554-2560
MissingFormLabel
- 118
Smith B, Wingard D L, Smith T C, Kritz-Silverstein D, Barrett-Connor E.
Does coffee consumption reduce the risk of type 2 diabetes in individuals with impaired
glucose?.
Diabetes Care.
2006;
29
2385-2390
MissingFormLabel
- 119
Mann J I, De Leeuw I, Hermansen K, Karamanos B, Karlstrom B, Katsilambros N, Riccardi G, Rivellese A A, Rizkalla S, Slama G, Toeller M, Uusitupa M, Vessby B.
Evidence-based nutritional approaches to the treatment and prevention of diabetes
mellitus.
Nutr Metab Cardiovasc Dis.
2004;
14
373-394
MissingFormLabel
- 120
Jinlin F, Binyou W, Terry C.
A new approach to the study of diet and risk of type 2 diabetes.
J Postgrad Med.
2007;
53
139-143
MissingFormLabel
- 121
Luna B, Feinglos M N.
Drug-induced hyperglycemia.
JAMA.
2001;
286
1945-1948
MissingFormLabel
- 122
Franciosi M, De Berardis G, Rossi M C, Sacco M, Belfiglio M, Pellegrini F, Tognoni G, Valentini M, Nicolucci A.
Use of the diabetes risk score for opportunistic screening of undiagnosed diabetes
and impaired glucose tolerance: the IGLOO (Impaired Glucose Tolerance and Long-Term
Outcomes Observational) study.
Diabetes Care.
2005;
28
1187-1194
MissingFormLabel
- 123
Jin H, Meyer J M, Jeste D V.
Atypical antipsychotics and glucose dysregulation: a systematic review.
Schizophr Res.
2004;
71
195-212
MissingFormLabel
- 124
Tebas P.
Insulin resistance and diabetes mellitus associated with antiretroviral use in HIV-infected
patients: pathogenesis, prevention, and treatment options.
J Acquir Immune Defic Syndr.
2008;
49 (Suppl. 2)
S86-92
MissingFormLabel
- 125
Elliott R B.
Diabetes – a man made disease.
Med Hypotheses.
2006;
67
388-391
MissingFormLabel
- 126
Elinder L S, Jansson M.
Obesogenic environments – aspects on measurement and indicators.
Public Health Nutr.
2009;
12
307-315
MissingFormLabel
- 127
Wylie-Rosett J.
The diabetes epidemic: what can we do?.
J Am Diet Assoc.
2009;
109
1160-1162
MissingFormLabel
- 128
James W P.
The epidemiology of obesity: the size of the problem.
J Intern Med.
2008;
263
336-352
MissingFormLabel
- 129
Chiolero A, Faeh D, Paccaud F, Cornuz J.
Consequences of smoking for body weight, body fat distribution, and insulin resistance.
Am J Clin Nutr.
2008;
87
801-809
MissingFormLabel
- 130
Fagard R H, Nilsson P M.
Smoking and diabetes – The double health hazard!.
Prim Care Diabetes.
2009;
3 (4)
205-209
MissingFormLabel
- 131
Jones O A, Maguire M L, Griffin J L.
Environmental pollution and diabetes: a neglected association.
Lancet.
2008;
371
287-288
MissingFormLabel
- 132
Cranmer M, Louie S, Kennedy R H, Kern P A, Fonseca V A.
Exposure to 2, 3, 7, 8-tetrachlorodibenzo-p-dioxin (TCDD) is associated with hyperinsulinemia
and insulin resistance.
Toxicol Sci.
2000;
56
431-436
MissingFormLabel
- 133
Lee D H, Lee I K, Jin S H, Steffes M, Jacobs Jr D R.
Association between serum concentrations of persistent organic pollutants and insulin
resistance among nondiabetic adults: results from the National Health and Nutrition
Examination Survey 1999–2002.
Diabetes Care.
2007;
30
622-628
MissingFormLabel
- 134
Lee D H, Lee I K, Song K, Steffes M, Toscano W, Baker B A, Jacobs Jr D R.
A strong dose-response relation between serum concentrations of persistent organic
pollutants and diabetes: results from the National Health and Examination Survey 1999–2002.
Diabetes Care.
2006;
29
1638-1644
MissingFormLabel
- 135
Porta M.
Persistent organic pollutants and the burden of diabetes.
Lancet.
2006;
368
558-559
MissingFormLabel
- 136
Rylander L, Rignell-Hydbom A, Hagmar L.
A cross-sectional study of the association between persistent organochlorine pollutants
and diabetes.
Environ Health.
2005;
4
28
MissingFormLabel
- 137
Raikkonen K, Matthews K A, Kuller L H.
Depressive symptoms and stressful life events predict metabolic syndrome among middle-aged
women: a comparison of World Health Organization, Adult Treatment Panel III, and International
Diabetes Foundation definitions.
Diabetes Care.
2007;
30
872-877
MissingFormLabel
- 138
Lustman P J, Clouse R E.
Depression: a potentially modifiable risk factor for diabetes and its complications.
Diabetes Spectrum.
2004;
17
147-148
MissingFormLabel
- 139
Williams M M, Clouse R E, Lustman P J.
Treating depression to prevent diabetes and its complications: understanding depression
as a medical risk factor.
Clinical Diabetes.
2006;
24
79-86
MissingFormLabel
- 140
Knol M J, Twisk J W, Beekman A T, Heine R J, Snoek F J, Pouwer F.
Depression as a risk factor for the onset of type 2 diabetes mellitus. A meta-analysis.
Diabetologia.
2006;
49
837-845
MissingFormLabel
- 141
Rubin R R, Ma Y, Marrero D G, Peyrot M, Barrett-Connor E L, Kahn S E, Haffner S M, Price D W, Knowler W C.
Elevated depression symptoms, antidepressant medicine use, and risk of developing
diabetes during the diabetes prevention program.
Diabetes Care.
2008;
31
420-426
MissingFormLabel
- 142
Blane D, Smith G D, Bartley M.
Social class differences in years of potential life lost: size, trends, and principal
causes.
BMJ.
1990;
301
429-432
MissingFormLabel
- 143
Blaxter M.
Evidence on inequality in health from a national survey.
Lancet.
1987;
2
30-33
MissingFormLabel
- 144
Brown A F, Ettner S L, Piette J, Weinberger M, Gregg E, Shapiro M F, Karter A J, Safford M, Waitzfelder B, Prata P A, Beckles G L.
Socioeconomic position and health among persons with diabetes mellitus: a conceptual
framework and review of the literature.
Epidemiol Rev.
2004;
26
63-77
MissingFormLabel
- 145
Kunst A E, Mackenbach J P.
The size of mortality differences associated with educational level in nine industrialized
countries.
Am J Public Health.
1994;
84
932-937
MissingFormLabel
- 146
Marmot M G, McDowall M E.
Mortality decline and widening social inequalities.
Lancet.
1986;
2
274-276
MissingFormLabel
- 147
Rose G, Marmot M G.
Social class and coronary heart disease.
Br Heart J.
1981;
45
13-19
MissingFormLabel
- 148
Woodward M, Shewry M C, Smith W C, Tunstall-Pedoe H.
Social status and coronary heart disease: results from the Scottish Heart Health Study.
Prev Med.
1992;
21
136-148
MissingFormLabel
- 149
Brancati F L, Whelton P K, Kuller L H, Klag M J.
Diabetes mellitus, race, and socioeconomic status. A population-based study.
Ann Epidemiol.
1996;
6
67-73
MissingFormLabel
- 150
Choi B C, Shi F.
Risk factors for diabetes mellitus by age and sex: results of the National Population
Health Survey.
Diabetologia.
2001;
44
1221-1231
MissingFormLabel
- 151
Connolly V, Unwin N, Sherriff P, Bilous R, Kelly W.
Diabetes prevalence and socioeconomic status: a population based study showing increased
prevalence of type 2 diabetes mellitus in deprived areas.
J Epidemiol Community Health.
2000;
54
173-177
MissingFormLabel
- 152
Hjelm K, Isacsson A, Apelqvist J, Sundquist J, Nyberg P.
Foreign- and Swedish-born diabetic patients – a population-based study of prevalence,
glycaemic control and social position.
Scand J Soc Med.
1996;
24
243-252
MissingFormLabel
- 153
Ismail A A, Beeching N J, Gill G V, Bellis M A.
Capture-recapture-adjusted prevalence rates of type 2 diabetes are related to social
deprivation.
QJM.
1999;
92
707-710
MissingFormLabel
- 154
Marmot M G, Smith G D, Stansfeld S, Patel C, North F, Head J, White I, Brunner E, Feeney A.
Health inequalities among British civil servants: the Whitehall II study.
Lancet.
1991;
337
1387-1393
MissingFormLabel
- 155
Robbins J M, Vaccarino V, Zhang H, Kasl S V.
Socioeconomic status and type 2 diabetes in African American and non-Hispanic white
women and men: evidence from the Third National Health and Nutrition Examination Survey.
Am J Public Health.
2001;
91
76-83
MissingFormLabel
- 156
Stern M P, Rosenthal M, Haffner S M, Hazuda H P, Franco L J.
Sex difference in the effects of sociocultural status on diabetes and cardiovascular
risk factors in Mexican Americans. The San Antonio Heart Study.
Am J Epidemiol.
1984;
120
834-851
MissingFormLabel
- 157
Whitford D L, Griffin S J, Prevost A T.
Influences on the variation in prevalence of type 2 diabetes between general practices:
practice, patient or socioeconomic factors?.
Br J Gen Pract.
2003;
53
9-14
MissingFormLabel
- 158
Haffner S M.
Epidemiology of type 2 diabetes: risk factors.
Diabetes Care.
1998;
21 (Suppl. 3)
C3-6
MissingFormLabel
- 159
Harris M I.
Diabetes in America: epidemiology and scope of the problem.
Diabetes Care.
1998;
21 (Suppl. 3)
C11-14
MissingFormLabel
- 160
Maty S C, Everson-Rose S A, Haan M N, Raghunathan T E, Kaplan G A.
Education, income, occupation, and the 34-year incidence (1965–99) of Type 2 diabetes
in the Alameda County Study.
Int J Epidemiol.
2005;
34
1274-1281
MissingFormLabel
- 161
Mokdad A H, Bowman B A, Ford E S, Vinicor F, Marks J S, Koplan J P.
The continuing epidemics of obesity and diabetes in the United States.
JAMA.
2001;
286
1195-1200
MissingFormLabel
- 162
Larosa C, Sgueglia G A, Sestito A, Infusino F, Niccoli G, Lamendola P, Mariani L, Santangeli P, Lombardo A, Crea F, Lanza G A.
Predictors of impaired heart rate variability and clinical outcome in patients with
acute myocardial infarction treated by primary angioplasty.
J Cardiovasc Med (Hagerstown).
2008;
9
76-80
MissingFormLabel
- 163
Mokdad A H, Ford E S, Bowman B A, Nelson D E, Engelgau M M, Vinicor F, Marks J S.
Diabetes trends in the U.S.: 1990–1998.
Diabetes Care.
2000;
23
1278-1283
MissingFormLabel
- 164
Agardh E E, Ahlbom A, Andersson T, Efendic S, Grill V, Hallqvist J, Ostenson C G.
Socio-economic position at three points in life in association with type 2 diabetes
and impaired glucose tolerance in middle-aged Swedish men and women.
Int J Epidemiol.
2007;
36
84-92
MissingFormLabel
- 165
Lawlor D A, Patel R, Fraser A, Smith G D, Ebrahim S.
The association of life course socio-economic position with diagnosis, treatment,
control and survival of women with diabetes: findings from the British Women's Heart
and Health Study.
Diabet Med.
2007;
24
892-900
MissingFormLabel
- 166
Lynch J W, Kaplan G A, Cohen R D, Kauhanen J, Wilson T W, Smith N L, Salonen J T.
Childhood and adult socioeconomic status as predictors of mortality in Finland.
Lancet.
1994;
343
524-527
MissingFormLabel
- 167
Marmot M, Shipley M, Brunner E, Hemingway H.
Relative contribution of early life and adult socioeconomic factors to adult morbidity
in the Whitehall II study.
J Epidemiol Community Health.
2001;
55
301-307
MissingFormLabel
- 168
Vagero D, Leon D.
Effect of social class in childhood and adulthood on adult mortality.
Lancet.
1994;
343
1224-1225
MissingFormLabel
- 169
Brunner E, Shipley M J, Blane D, Smith G D, Marmot M G.
When does cardiovascular risk start? Past and present socioeconomic circumstances
and risk factors in adulthood.
J Epidemiol Community Health.
1999;
53
757-764
MissingFormLabel
- 170
Giskes K, Turrell G, van Lenthe F J, Brug J, Mackenbach J P.
A multilevel study of socio-economic inequalities in food choice behaviour and dietary
intake among the Dutch population: the GLOBE study.
Public Health Nutr.
2006;
9
75-83
MissingFormLabel
- 171
Wannamethee S G, Whincup P H, Shaper G, Walker M.
Influence of fathers' social class on cardiovascular disease in middle-aged men.
Lancet.
1996;
348
1259-1263
MissingFormLabel
- 172
Alberti K G, Zimmet P, Shaw J.
International Diabetes Federation: a consensus on Type 2 diabetes prevention.
Diabet Med.
2007;
24
451-463
MissingFormLabel
- 173
Simmons R K, Harding A H, Jakes R W, Welch A, Wareham N J, Griffin S J.
How much might achievement of diabetes prevention behaviour goals reduce the incidence
of diabetes if implemented at the population level?.
Diabetologia.
2006;
49
905-911
MissingFormLabel
- 174
Tabak A G, Jokela M, Akbaraly T N, Brunner E J, Kivimaki M, Witte D R.
Trajectories of glycaemia, insulin sensitivity, and insulin secretion before diagnosis
of type 2 diabetes: an analysis from the Whitehall II study.
Lancet.
2009;
373
2215-2221
MissingFormLabel
- 175
Lorenzo C, Okoloise M, Williams K, Stern M P, Haffner S M.
The metabolic syndrome as predictor of type 2 diabetes: the San Antonio heart study.
Diabetes Care.
2003;
26
3153-3159
MissingFormLabel
- 176
Garber A J, Handelsman Y, Einhorn D, Bergman D A, Bloomgarden Z T, Fonseca V, Garvey W T, Gavin 3rd J R, Grunberger G, Horton E S, Jellinger P S, Jones K L, Lebovitz H, Levy P, McGuire D K, Moghissi E S, Nesto R W.
Diagnosis and management of prediabetes in the continuum of hyperglycemia: when do
the risks of diabetes begin? A consensus statement from the American College of Endocrinology
and the American Association of Clinical Endocrinologists.
Endocr Pract.
2008;
14
933-946
MissingFormLabel
- 177
Mensink M, Feskens E J, Saris W H, De Bruin T W, Blaak E E.
Study on Lifestyle Intervention and Impaired Glucose Tolerance Maastricht (SLIM):
preliminary results after one year.
Int J Obes Relat Metab Disord.
2003;
27
377-384
MissingFormLabel
- 178
Roumen C, Corpeleijn E, Feskens E J M, Mensink M, Saris W H M, Blaak E E.
Impact of 3-year lifestyle intervention on postprandial glucose metabolism: the SLIM
study.
Diabetic Medicine.
2008;
25
597-605
MissingFormLabel
- 179
Gillies C L, Abrams K R, Lambert P C, Cooper N J, Sutton A J, Hsu R T, Khunti K.
Pharmacological and lifestyle interventions to prevent or delay type 2 diabetes in
people with impaired glucose tolerance: systematic review and meta-analysis.
BMJ.
2007;
334
299
MissingFormLabel
- 180
DECODE Study Group .
Age- and sex-specific prevalences of diabetes and impaired glucose regulation in 13
European cohorts.
Diabetes Care.
2003;
26
61-69
MissingFormLabel
- 181
Harris M I, Flegal K M, Cowie C C, Eberhardt M S, Goldstein D E, Little R R, Wiedmeyer H M, Byrd-Holt D D.
Prevalence of diabetes, impaired fasting glucose, and impaired glucose tolerance in
U.S. adults. The Third National Health and Nutrition Examination Survey, 1988–1994.
Diabetes Care.
1998;
21
518-524
MissingFormLabel
- 182
Qiao Q, Hu G, Tuomilehto J, Nakagami T, Balkau B, Borch-Johnsen K, Ramachandran A, Mohan V, Iyer S R, Tominaga M, Kiyohara Y, Kato I, Okubo K, Nagai M, Shibazaki S, Yang Z, Tong Z, Fan Q, Wang B, Chew S K, Tan B Y, Heng D, Emmanuel S, Tajima N, Iwamoto Y, Snehalatha C, Vijay V, Kapur A, Dong Y, Nan H, Gao W, Shi H, Fu F.
Age- and sex-specific prevalence of diabetes and impaired glucose regulation in 11
Asian cohorts.
Diabetes Care.
2003;
26
1770-1780
MissingFormLabel
- 183
Rasmussen S S, Glumer C, Sandbaek A, Lauritzen T, Borch-Johnsen K.
Determinants of progression from impaired fasting glucose and impaired glucose tolerance
to diabetes in a high-risk screened population: 3 year follow-up in the ADDITION study,
Denmark.
Diabetologia.
2008;
51
249-257
MissingFormLabel
- 184
Li G, Zhang P, Wang J, Gregg E W, Yang W, Gong Q, Li H, Li H, Jiang Y, An Y, Shuai Y, Zhang B, Zhang J, Thompson T J, Gerzoff R B, Roglic G, Hu Y, Bennett P H.
The long-term effect of lifestyle interventions to prevent diabetes in the China Da
Qing Diabetes Prevention Study: a 20-year follow-up study.
Lancet.
2008;
371
1783-1789
MissingFormLabel
- 185
Lindstrom J, Ilanne-Parikka P, Peltonen M, Aunola S, Eriksson J G, Hemio K, Hamalainen H, Harkonen P, Keinanen-Kiukaanniemi S, Laakso M, Louheranta A, Mannelin M, Paturi M, Sundvall J, Valle T T, Uusitupa M, Tuomilehto J.
Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention:
follow-up of the Finnish Diabetes Prevention Study.
Lancet.
2006;
368
1673-1679
MissingFormLabel
- 186
Ramachandran A, Snehalatha C, Mary S, Mukesh B, Bhaskar A D, Vijay V.
The Indian Diabetes Prevention Programme shows that lifestyle modification and metformin
prevent type 2 diabetes in Asian Indian subjects with impaired glucose tolerance (IDPP-1).
Diabetologia.
2006;
49
289-297
MissingFormLabel
- 187
Kosaka K, Noda M, Kuzuya T.
Prevention of type 2 diabetes by lifestyle intervention: a Japanese trial in IGT males.
Diabetes Res Clin Pract.
2005;
67
152-162
MissingFormLabel
- 188
Gerstein H C, Yusuf S, Bosch J, Pogue J, Sheridan P, Dinccag N, Hanefeld M, Hoogwerf B, Laakso M, Mohan V, Shaw J, Zinman B, Holman R R.
Effect of rosiglitazone on the frequency of diabetes in patients with impaired glucose
tolerance or impaired fasting glucose: a randomised controlled trial.
Lancet.
2006;
368
1096-1105
MissingFormLabel
- 189
O'Dea K, Patel M, Kubisch D, Hopper J, Traianedes K.
Obesity, diabetes, and hyperlipidemia in a central Australian aboriginal community
with a long history of acculturation.
Diabetes Care.
1993;
16
1004-1010
MissingFormLabel
- 190
Lindstrom J, Tuomilehto J.
The diabetes risk score: a practical tool to predict type 2 diabetes risk.
Diabetes Care.
2003;
26
725-731
MissingFormLabel
- 191
McNeely M J, Boyko E J, Leonetti D L, Kahn S E, Fujimoto W Y.
Comparison of a clinical model, the oral glucose tolerance test, and fasting glucose
for prediction of type 2 diabetes risk in Japanese Americans.
Diabetes Care.
2003;
26
758-763
MissingFormLabel
- 192
Schmidt M I, Duncan B B, Bang H, Pankow J S, Ballantyne C M, Golden S H, Folsom A R, Chambless L E.
Identifying individuals at high risk for diabetes: The Atherosclerosis Risk in Communities
study.
Diabetes Care.
2005;
28
2013-2018
MissingFormLabel
- 193
Kanaya A M, Wassel Fyr C L, de Rekeneire N, Shorr R I, Schwartz A V, Goodpaster B H, Newman A B, Harris T, Barrett-Connor E.
Predicting the development of diabetes in older adults: the derivation and validation
of a prediction rule.
Diabetes Care.
2005;
28
404-408
MissingFormLabel
- 194
Norberg M, Eriksson J W, Lindahl B, Andersson C, Rolandsson O, Stenlund H, Weinehall L.
A combination of HbA1c, fasting glucose and BMI is effective in screening for individuals
at risk of future type 2 diabetes: OGTT is not needed.
J Intern Med.
2006;
260
263-271
MissingFormLabel
- 195
Balkau B, Hillier T, Vierron E, D'Hour A, Lepinay P, Royer B, Born C.
Comment to: Borch-Johnsen K, Colagiuri S, Balkau B et al. Creating a pandemic of prediabetes:
the proposed new diagnostic criteria for impaired fasting glycaemia (Diabetologia
2004; 47: 1396–1402).
Diabetologia.
2005;
48
801-802
MissingFormLabel
- 196
Hippisley-Cox J, Coupland C, Robson J, Sheikh A, Brindle P.
Predicting risk of type 2 diabetes in England and Wales: prospective derivation and
validation of QDScore.
BMJ.
2009;
338
b880
MissingFormLabel
- 197
Tabaei B P, Herman W H.
A multivariate logistic regression equation to screen for diabetes: development and
validation.
Diabetes Care.
2002;
25
1999-2003
MissingFormLabel
- 198
Saaristo T, Peltonen M, Lindstrom J, Saarikoski L, Sundvall J, Eriksson J G, Tuomilehto J.
Cross-sectional evaluation of the Finnish Diabetes Risk Score: a tool to identify
undetected type 2 diabetes, abnormal glucose tolerance and metabolic syndrome.
Diab Vasc Dis Res.
2005;
2
67-72
MissingFormLabel
- 199
Bergmann A, Li J, Wang L, Schulze J, Bornstein S R, Schwarz P E.
A simplified Finnish diabetes risk score to predict type 2 diabetes risk and disease
evolution in a German population.
Horm Metab Res.
2007;
39
677-682
MissingFormLabel
- 200
Glumer C, Carstensen B, Sandbaek A, Lauritzen T, Jorgensen T, Borch-Johnsen K.
A Danish diabetes risk score for targeted screening: the Inter99 study.
Diabetes Care.
2004;
27
727-733
MissingFormLabel
- 201
Griffin S J, Little P S, Hales C N, Kinmonth A L, Wareham N J.
Diabetes risk score: towards earlier detection of type 2 diabetes in general practice.
Diabetes Metab Res Rev.
2000;
16
164-171
MissingFormLabel
- 202
Spijkerman A, Griffin S, Dekker J, Nijpels G, Wareham N J.
What is the risk of mortality for people who are screen positive in a diabetes screening
programme but who do not have diabetes on biochemical testing? Diabetes screening
programmes from a public health perspective.
J Med Screen.
2002;
9
187-190
MissingFormLabel
- 203
Park P J, Griffin S J, Sargeant L, Wareham N J.
The performance of a risk score in predicting undiagnosed hyperglycemia.
Diabetes Care.
2002;
25
984-988
MissingFormLabel
- 204
Spijkerman A M, Yuyun M F, Griffin S J, Dekker J M, Nijpels G, Wareham N J.
The performance of a risk score as a screening test for undiagnosed hyperglycemia
in ethnic minority groups: data from the 1999 health survey for England.
Diabetes Care.
2004;
27
116-122
MissingFormLabel
- 205
Heldgaard P E, Griffin S J.
Routinely collected general practice data aids identification of people with hyperglycaemia
and metabolic syndrome.
Diabet Med.
2006;
23
996-1002
MissingFormLabel
- 206
Baan C A, Ruige J B, Stolk R P, Witteman J C, Dekker J M, Heine R J, Feskens E J.
Performance of a predictive model to identify undiagnosed diabetes in a health care
setting.
Diabetes Care.
1999;
22
213-219
MissingFormLabel
- 207
Schulze M B, Hoffmann K, Boeing H, Linseisen J, Rohrmann S, Mohlig M, Pfeiffer A F, Spranger J, Thamer C, Haring H U, Fritsche A, Joost H G.
An accurate risk score based on anthropometric, dietary, and lifestyle factors to
predict the development of type 2 diabetes.
Diabetes Care.
2007;
30
510-515
MissingFormLabel
- 208
Balkau B, Lange C, Fezeu L, Tichet J, de Lauzon-Guillain B, Czernichow S, Fumeron F, Froguel P, Vaxillaire M, Cauchi S, Ducimetiere P, Eschwege E.
Predicting diabetes: clinical, biological, and genetic approaches: data from the Epidemiological
Study on the Insulin Resistance Syndrome (DESIR).
Diabetes Care.
2008;
31
2056-2061
MissingFormLabel
- 209
Heikes K E, Eddy D M, Arondekar B, Schlessinger L.
Diabetes Risk Calculator: a simple tool for detecting undiagnosed diabetes and pre-diabetes.
Diabetes Care.
2008;
31
1040-1045
MissingFormLabel
- 210
Mohan V, Deepa R, Deepa M, Somannavar S, Datta M.
A simplified Indian Diabetes Risk Score for screening for undiagnosed diabetic subjects.
J Assoc Physicians India.
2005;
53
759-763
MissingFormLabel
- 211
Keesukphan P, Chanprasertyothin S, Ongphiphadhanakul B, Puavilai G.
The development and validation of a diabetes risk score for high-risk Thai adults.
J Med Assoc Thai.
2007;
90
149-154
MissingFormLabel
- 212
Rathmann W, Martin S, Haastert B, Icks A, Holle R, Lowel H, Giani G.
Performance of screening questionnaires and risk scores for undiagnosed diabetes:
the KORA Survey 2000.
Arch Intern Med.
2005;
165
436-441
MissingFormLabel
- 213
Al-Lawati J A, Tuomilehto J.
Diabetes risk score in Oman: a tool to identify prevalent type 2 diabetes among Arabs
of the Middle East.
Diabetes Res Clin Pract.
2007;
77
438-444
MissingFormLabel
- 214
Glumer C, Vistisen D, Borch-Johnsen K, Colagiuri S.
Risk scores for type 2 diabetes can be applied in some populations but not all.
Diabetes Care.
2006;
29
410-414
MissingFormLabel
- 215
Ryan J, Velez F, Chung-Bridges K, Lewis J B, Schwartz R, Jennings T.
Prevalence of undetected high risk for type 2 diabetes mellitus in primary care : a
South Florida primary care practice-based research network study.
Insulin.
2007;
2
109-117
MissingFormLabel
- 216
Adriaanse M, Snoek F.
The psychological impact of screening for type 2 diabetes.
Diabetes Metab Res Rev.
2006;
22
20-25
MissingFormLabel
- 217
Engelgau M M, Thompson T J, Smith P J, Herman W H, Aubert R E, Gunter E W, Wetterhall S F, Sous E S, Ali M A.
Screening for diabetes mellitus in adults. The utility of random capillary blood glucose
measurements.
Diabetes Care.
1995;
18
463-466
MissingFormLabel
- 218
Rohlfing C L, Little R R, Wiedmeyer H M, England J D, Madsen R, Harris M I, Flegal K M, Eberhardt M S, Goldstein D E.
Use of GHb (HbA1c) in screening for undiagnosed diabetes in the U.S. population.
Diabetes Care.
2000;
23
187-191
MissingFormLabel
- 219
Mannucci E, Ognibene A, Sposato I, Brogi M, Gallori G, Bardini G, Cremasco F, Messeri G, Rotella C M.
Fasting plasma glucose and glycated haemoglobin in the screening of diabetes and impaired
glucose tolerance.
Acta Diabetol.
2003;
40
181-186
MissingFormLabel
- 220 British Diabetes Association .Diabetes UK. Position statement: early identification of peolple with type 2 diabetes.
Report. London, UK; Diabetes UK, British Diabetes Association 2006
MissingFormLabel
- 221 Haute Autorité de Santé .Agence nationale d'accréditation ete d'évaluation en santé A (2003). Principes de
dépistage du diabète de type 2. Report. Paris; Haute Autorité de Santé 2003
MissingFormLabel
- 222
ADA .
Clinical practice recommendations 2008.
Diabetes Care.
2008;
31
S1-S110
MissingFormLabel
- 223
Ealovega M W, Tabaei B P, Brandle M, Burke R, Herman W H.
Opportunistic screening for diabetes in routine clinical practice.
Diabetes Care.
2004;
27 (1)
9-12
MissingFormLabel
- 224 Cosson E, Nguyen M T, Ba H, Hamo-Tchatchouang E, Valensi P.
Screening overweighed or obese subjects for prediabetes and diabetes: performing directly oral glucose tolerance test in selected patients may be beneficial and cost-effective. 5th World Congress on Prevention of Diabetes and its Complications. Helsinki; WCPD 2008MissingFormLabel - 225
Zimmet P, Thomas C.
Genotype, obesity and cardiovascular disease – has technical and social advancement
outstripped evolution?.
J Intern Med.
2003;
254
114-125
MissingFormLabel
- 226
Ryden L, Standl E, Bartnik M, Van den Berghe G, Betteridge J, de Boer M J, Cosentino F, Jonsson B, Laakso M, Malmberg K, Priori S, Ostergren J, Tuomilehto J, Thrainsdottir I, Vanhorebeek I, Stramba-Badiale M, Lindgren P, Qiao Q, Priori S G, Blanc J J, Budaj A, Camm J, Dean V, Deckers J, Dickstein K, Lekakis J, McGregor K, Metra M, Morais J, Osterspey A, Tamargo J, Zamorano J L, Deckers J W, Bertrand M, Charbonnel B, Erdmann E, Ferrannini E, Flyvbjerg A, Gohlke H, Juanatey J R, Graham I, Monteiro P F, Parhofer K, Pyorala K, Raz I, Schernthaner G, Volpe M, Wood D.
Guidelines on diabetes, pre-diabetes, and cardiovascular diseases: executive summary.
The Task Force on Diabetes and Cardiovascular Diseases of the European Society of
Cardiology (ESC) and of the European Association for the Study of Diabetes (EASD).
Eur Heart J.
2007;
28
88-136
MissingFormLabel
- 227
Pan X R, Li G W, Hu Y H, Wang J X, Yang W Y, An Z X, Hu Z X, Lin J, Xiao J Z, Cao H B, Liu P A, Jiang X G, Jiang Y Y, Wang J P, Zheng H, Zhang H, Bennett P H, Howard B V.
Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance.
The Da Qing IGT and Diabetes Study.
Diabetes Care.
1997;
20
537-544
MissingFormLabel
- 228
Li G, Zhang P, Wang J, Gregg E W, Yang W, Gong Q, Li H, Jiang Y, An Y, Shuai Y, Zhang B, Zhang J, Thompson T J, Gerzoff R B, Roglic G, Hu Y, Bennett P H.
The long-term effect of lifestyle interventions to prevent diabetes in the China Da
Qing Diabetes Prevention Study: a 20-year follow-up study.
Lancet.
2008;
371
1783-1789
MissingFormLabel
- 229
Orchard T J, Temprosa M, Goldberg R, Haffner S, Ratner R, Marcovina S, Fowler S.
The effect of metformin and intensive lifestyle intervention on the metabolic syndrome:
the Diabetes Prevention Program randomized trial.
Ann Intern Med.
2005;
142
611-619
MissingFormLabel
- 230
Ratner R, Goldberg R, Haffner S, Marcovina S, Orchard T, Fowler S, Temprosa M.
Impact of intensive lifestyle and metformin therapy on cardiovascular disease risk
factors in the diabetes prevention program.
Diabetes Care.
2005;
28
888-894
MissingFormLabel
- 231
Tuomilehto J, Lindström J, Eriksson J G, Valle T T, Hämäläinen H, Ilanne-Parikka P, Keinänen-Kiukaanniemi S, Laakso M, Louheranta A, Rastas M, Salminen V, Uusitupa M.
Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with
impaired glucose tolerance.
N Engl J Med.
2001;
344
1343-1350
MissingFormLabel
- 232
Ilanne-Parikka P, Eriksson J G, Lindström J, Peltonen M, Aunola S, Hämäläinen H, Keinänen-Kiukaanniemi S, Laakso M, Valle T T, Lahtela J, Uusitupa M, Tuomilehto J.
Effect of lifestyle intervention on the occurrence of metabolic syndrome and its components
in the Finnish Diabetes Prevention Study.
Diabetes Care.
2008;
31
805-807
MissingFormLabel
- 233
Yach D, McKee M, Lopez A D, Novotny T.
Improving diet and physical activity: 12 lessons from controlling tobacco smoking.
BMJ.
2005;
330
898-900
MissingFormLabel
- 234
The Diabetes Prevention Program Research Group .
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin.
N Engl J Med.
2002;
346
393-403
MissingFormLabel
- 235
Ramachandran A, Snehalatha C, Satyavani K, Sivasankari S, Vijay V.
Metabolic syndrome does not increase the risk of conversion of impaired glucose tolerance
to diabetes in Asian Indians – Result of Indian diabetes prevention programme.
Diabetes Res Clin Pract.
2007;
76
215-218
MissingFormLabel
- 236
Sartor G, Schersten B, Carlstrom S, Melander A, Norden A, Persson G.
Ten-year follow-up of subjects with impaired glucose tolerance. Prevention of diabetes
by tolbutamide and diet regulation.
Diabetes.
1980;
29
41-49
MissingFormLabel
- 237
Jarrett R J, Keen H, Fuller J H, McCartney M.
Worsening to diabetes in men with impaired glucose tolerance (“borderline diabetes”).
Diabetologia.
1979;
16
25-30
MissingFormLabel
- 238
Eriksson K F, Lindgärde F.
Prevention of type 2 (non-insulin-dependent) diabetes mellitus by diet and physical
exercise. The 6-year Malmö feasibility study.
Diabetologia.
1991;
34
891-898
MissingFormLabel
- 239
Schwarz P E, Lindstrom J, Kissimova-Scarbeck K, Szybinski Z, Barengo N C, Peltonen M, Tuomilehto J.
The European perspective of type 2 diabetes prevention: diabetes in Europe – prevention
using lifestyle, physical activity and nutritional intervention (DE-PLAN) project.
Exp Clin Endocrinol Diabetes.
2008;
116
167-172
MissingFormLabel
- 240
Wein P, Beischer N, Harris C, Permezel M.
A trial of simple versus intensified dietary modification for prevention of progression
to diabetes mellitus in women with impaired glucose tolerance.
Aust N Z J Obstet Gynaecol.
1999;
39
162-166
MissingFormLabel
- 241
Swinburn B A, Metcalf P A, Ley S J.
Long-term (5-year) effects of a reduced-fat diet intervention in individuals with
glucose intolerance.
Diabetes Care.
2001;
24
619-624
MissingFormLabel
- 242
Davey Smith G, Bracha Y, Svendsen K H, Neaton J D, Haffner S M, Kuller L H.
Incidence of type 2 diabetes in the randomized multiple risk factor intervention trial.
Ann Intern Med.
2005;
142
313-322
MissingFormLabel
- 243
Bo S, Ciccone G, Baldi C, Benini L, Dusio F, Forastiere G, Lucia C, Nuti C, Durazzo M, Cassader M, Gentile L, Pagano G.
Effectiveness of a lifestyle intervention on metabolic syndrome. A randomized controlled
trial.
J General Intern Med.
2007;
22
1695-1703
MissingFormLabel
- 244
Barlow S E, Dietz W H.
Obesity evaluation and treatment: Expert Committee recommendations. The Maternal and
Child Health Bureau, Health Resources and Services Administration and the Department
of Health and Human Services.
Pediatrics.
1998;
102
E29
MissingFormLabel
- 245
Krebs N F, Jacobson M S.
Prevention of pediatric overweight and obesity.
Pediatrics.
2003;
112
424-430
MissingFormLabel
- 246
Dietz W H, Gortmaker S L.
Preventing obesity in children and adolescents.
Annu Rev Public Health.
2001;
22
337-353
MissingFormLabel
- 247
Gillies C L, Abrams K R, Lambert P C, Cooper N J, Sutton A J, Hsu R T, Khunti K.
Pharmacological and lifestyle interventions to prevent or delay type 2 diabetes in
people with impaired glucose tolerance: systematic review and meta-analysis.
BMJ.
2007;
334
299-307
MissingFormLabel
- 248
Bantle J P, Wylie-Rosett J, Albright A L, Apovian C M, Clark N G, Franz M J, Hoogwerf B J, Lichtenstein A H, Mayer-Davis E, Mooradian A D, Wheeler M L.
Nutrition recommendations and interventions for diabetes: a position statement of
the American Diabetes Association.
Diabetes Care.
2008;
31 (Suppl. 1)
S61-78
MissingFormLabel
- 249
Richelsen B, Tonstad S, Rossner S, Toubro S, Niskanen L, Madsbad S, Mustajoki P, Rissanen A.
Effect of orlistat on weight regain and cardiovascular risk factors following a very-low-energy
diet in abdominally obese patients: a 3-year randomized, placebo-controlled study.
Diabetes Care.
2007;
30
27-32
MissingFormLabel
- 250
Torgerson J S, Hauptman J, Boldrin M N, Sjostrom L.
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.
2004;
27
155-161
MissingFormLabel
- 251
Van Gaal L F, Scheen A J, Rissanen A M, Rossner S, Hanotin C, Ziegler O.
Long-term effect of CB1 blockade with rimonabant on cardiometabolic risk factors:
two year results from the RIO-Europe Study.
Eur Heart J.
2008;
29
1761-1771
MissingFormLabel
- 252
Nilsson P M.
Is weight loss beneficial for reduction of morbidity and mortality? What is the controversy
about?.
Diabetes Care.
2008;
31 (Suppl. 2)
S278-283
MissingFormLabel
- 253
Buchwald H, Estok R, Fahrbach K, Banel D, Jensen M D, Pories W J, Bantle J P, Sledge I.
Weight and type 2 diabetes after bariatric surgery: systematic review and meta-analysis.
Am J Med.
2009;
122 (3)
248-256
e5
MissingFormLabel
- 254
Colquitt J L, Picot J, Loveman E, Clegg A J.
Surgery for obesity.
Cochrane Database Syst Rev.
2009;
CD003641
MissingFormLabel
- 255
Chiasson J L, Josse R G, Gomis R, Hanefeld M, Karasik A, Laakso M.
Acarbose for prevention of type 2 diabetes mellitus: the STOP-NIDDM randomised trial.
Lancet.
2002;
359
2072-2077
MissingFormLabel
- 256
Chiasson J L, Josse R G, Gomis R, Hanefeld M, Karasik A, Laakso M.
Acarbose treatment and the risk of cardiovascular disease and hypertension in patients
with impaired glucose tolerance: the STOP-NIDDM trial.
JAMA.
2003;
290
486-494
MissingFormLabel
- 257
Sawicki P T, Kaiser T.
Response to Chiasson et al.: Acarbose for the prevention of Type 2 diabetes, hypertension
and cardiovascular disease in subjects with impaired glucose tolerance: facts and
interpretations concerning the critical analysis of the STOP-NIDDM Trial data.
Diabetologia.
2004;
47
976-977
MissingFormLabel
- 258
Eriksson J G, Lehtovirta M, Ehrnstrom B, Salmela S, Groop L.
Long-term beneficial effects of glipizide treatment on glucose tolerance in subjects
with impaired glucose tolerance.
J Intern Med.
2006;
259
553-560
MissingFormLabel
- 259
Jarrett R J, Keen H, McCartney P.
The Whitehall Study: ten year follow-up report on men with impaired glucose tolerance
with reference to worsening to diabetes and predictors of death.
Diabet Med.
1984;
1
279-283
MissingFormLabel
- 260
The Diabetes Prevention Program Research Group .
The Diabetes Prevention Program: baseline characteristics of the randomized cohort.
The Diabetes Prevention Program Research Group.
Diabetes Care.
2000;
23
1619-1629
MissingFormLabel
- 261
Knowler W C, Hamman R F, Edelstein S L, Barrett-Connor E, Ehrmann D A, Walker E A, Fowler S E, Nathan D M, Kahn S E.
Prevention of type 2 diabetes with troglitazone in the Diabetes Prevention Program.
Diabetes.
2005;
54
1150-1156
MissingFormLabel
- 262
Buchanan T A, Xiang A H, Peters R K, Kjos S L, Marroquin A, Goico J, Ochoa C, Tan S, Berkowitz K, Hodis H N, Azen S P.
Preservation of pancreatic beta-cell function and prevention of type 2 diabetes by
pharmacological treatment of insulin resistance in high-risk hispanic women.
Diabetes.
2002;
51
2796-2803
MissingFormLabel
- 263
Xiang A H, Peters R K, Kjos S L, Marroquin A, Goico J, Ochoa C, Kawakubo M, Buchanan T A.
Effect of pioglitazone on pancreatic beta-cell function and diabetes risk in Hispanic
women with prior gestational diabetes.
Diabetes.
2006;
55
517-522
MissingFormLabel
- 264
Bosch J, Yusuf S, Gerstein H C, Pogue J, Sheridan P, Dagenais G, Diaz R, Avezum A, Lanas F, Probstfield J, Fodor G, Holman R R.
Effect of ramipril on the incidence of diabetes.
N Engl J Med.
2006;
355
1551-1562
MissingFormLabel
- 265
Andraws R, Brown D L.
Effect of inhibition of the renin-angiotensin system on development of type 2 diabetes
mellitus (meta-analysis of randomized trials).
Am J Cardiol.
2007;
99
1006-1012
MissingFormLabel
- 266
Jandeleit-Dahm K A, Tikellis C, Reid C M, Johnston C I, Cooper M E.
Why blockade of the renin-angiotensin system reduces the incidence of new-onset diabetes.
J Hypertens.
2005;
23
463-473
MissingFormLabel
- 267
Freeman D J, Norrie J, Sattar N, Neely R D, Cobbe S M, Ford I, Isles C, Lorimer A R, Macfarlane P W, McKillop J H, Packard C J, Shepherd J, Gaw A.
Pravastatin and the development of diabetes mellitus: evidence for a protective treatment
effect in the West of Scotland Coronary Prevention Study.
Circulation.
2001;
103
357-362
MissingFormLabel
- 268
Collins R, Armitage J, Parish S, Sleigh P, Peto R.
MRC/BHF Heart Protection Study of cholesterol-lowering with simvastatin in 5963 people
with diabetes: a randomised placebo-controlled trial.
Lancet.
2003;
361
2005-2016
MissingFormLabel
- 269
Sever P S, Dahlof B, Poulter N R, Wedel H, Beevers G, Caulfield M, Collins R, Kjeldsen S E, Kristinsson A, McInnes G T, Mehlsen J, Nieminen M, O'Brien E, Ostergren J.
Prevention of coronary and stroke events with atorvastatin in hypertensive patients
who have average or lower-than-average cholesterol concentrations, in the Anglo-Scandinavian
Cardiac Outcomes Trial – Lipid Lowering Arm (ASCOT-LLA): a multicentre randomised
controlled trial.
Lancet.
2003;
361
1149-1158
MissingFormLabel
- 270
The LIPID Study Group .
Prevention of cardiovascular events and death with pravastatin in patients with coronary
heart disease and a broad range of initial cholesterol levels. The Long-Term Intervention
with Pravastatin in Ischaemic Disease (LIPID) Study Group.
N Engl J Med.
1998;
339
1349-1357
MissingFormLabel
- 271
Sjostrom L, Narbro K, Sjostrom C D, Karason K, Larsson B, Wedel H, Lystig T, Sullivan M, Bouchard C, Carlsson B, Bengtsson C, Dahlgren S, Gummesson A, Jacobson P, Karlsson J, Lindroos A K, Lonroth H, Naslund I, Olbers T, Stenlof K, Torgerson J, Agren G, Carlsson L M.
Effects of bariatric surgery on mortality in Swedish obese subjects.
N Engl J Med.
2007;
357
741-752
MissingFormLabel
- 272 WHO .WHO Study Group, Primary Prevention of Diabetes Mellitus. Geneva: Technical Report
Series 1994: No. 844.
MissingFormLabel
- 273
Schwarz P E, Schuppenies A, Gruhl U, Hoffmann R, Bornstein S R, Schulze J, Landgraf R.
[Prevention of type 2 diabetes in Germany. Ideas, evidence, implementation].
Med Klin (Munich).
2006;
101
730-736
MissingFormLabel
- 274
Saaristo T, Peltonen M, Keinanen-Kiukaanniemi S, Vanhala M, Saltevo J, Niskanen L, Oksa H, Korpi-Hyovalti E, Tuomilehto J.
National type 2 diabetes prevention programme in Finland: FIN-D2D.
Int J Circumpolar Health.
2007;
66
101-112
MissingFormLabel
- 275
Wang J, Luben R, Khaw K T, Bingham S, Wareham N J, Forouhi N G.
Dietary energy density predicts the risk of incident type 2 diabetes: the European
Prospective Investigation of Cancer (EPIC)-Norfolk Study.
Diabetes Care.
2008;
31
2120-2125
MissingFormLabel
- 276
Rosenbloom A L, Silverstein J H, Amemiya S, Zeitler P, Klingensmith G J.
Type 2 diabetes in children and adolescents.
Pediatr Diabetes.
2009;
10 (Suppl. 12)
17-32
MissingFormLabel
- 277
Carnethon M R.
Diabetes prevention in US ethnic minorities: role of the social environment.
J Am Diet Assoc.
2008;
108
942-944
MissingFormLabel
- 278
Cramer J S, Sibley R F, Bartlett D P, Kahn L S, Loffredo L.
An adaptation of the diabetes prevention program for use with high-risk, minority
patients with type 2 diabetes.
Diabetes Educ.
2007;
33
503-508
MissingFormLabel
- 279
Azjen I.
The theory of planned behavior.
OBHDP.
1991;
50 (2)
179-211
MissingFormLabel
- 280 Miller W R, Rollnick S. Motivational interviewing: Preparing people for change, 2nd ed. New York; Guildford Press 2002
MissingFormLabel
- 281 Bandura A. Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ; Prentice-Hall 1986
MissingFormLabel
- 282 Leventhal H, Nerenz D R, Steele D J.
Illness representations and coping with health threats. Baum A, Taylor SE, Singer JE Handbook of psychology and health, Vol. 4. Hillsdale, NJ; Lawrence Erlbaum Associates 1984: 219-252MissingFormLabel - 283
Oxman A D, Guyatt G H.
Validation of an index of the quality of review articles.
J Clin Epidemiol.
1991;
44
1271-1278
MissingFormLabel
- 284 Kreuter G. Health program planning: an educational and ecological approach. New York; McGraw-Hill 2005
MissingFormLabel
- 285 Bartholomew L K, Parcel G S, Kok G, Gottlieb N H. Intervention mapping: a process for designing theory- and evidence-based health education
programs. Mountain View; Mayfield 2001
MissingFormLabel
- 286 Anonymous. Management of diabetes: A national clinical guideline. Edinburgh; Scottish Intercollegiate Guidelines Network Publication 2001: No.55
MissingFormLabel
- 287
Chow C K, Lock K, Teo K, Subramanian S V, McKee M, Yusuf S.
Environmental and societal influences acting on cardiovascular risk factors and disease
at a population level: a review.
Int J Epidemiol.
2009;
DOI: 10.1093/ije/dyn258
MissingFormLabel
- 288 Nolte E, Knai C, McKee M eds.. Managing chronic conditions: An introduction to the experience in eight countries. Copenhagen; European Observatory on Health Systems and Policies 2008
MissingFormLabel
- 289 Nolte E, McKee M eds.. Caring for people with chronic conditions. A health system perspective. Maidenhead; Open University Press 2008
MissingFormLabel
- 290 Dubois C-A, McKee M, Nolte E eds.. Human resources for health in Europe. Buckingham; Open University Press 2005
MissingFormLabel
- 291 Rechel B, Dubois C-A, McKee M eds.. The health care workforce in Europe: learning from experience. Copenhagen; European Observatory on Health Systems and Policies 2006
MissingFormLabel
- 292 Saltman R B, Busse R, Figueras J. Social health insurance systems in western Europe. Maidenhead; Open University Press 2004
MissingFormLabel
- 293 Saltman R B, Rico A, Boerma W G W. Primary care in the driver's seat?. Maidenhead; Open University Press 2005
MissingFormLabel
- 294
Bodenheimer T, Wagner E H, Grumbach K.
Improving primary care for patients with chronic illness.
JAMA.
2002;
288
1775-1779
MissingFormLabel
- 295
Swinburn B, Egger G, Raza F.
Dissecting obesogenic environments: the development and application of a framework
for identifying and prioritizing environmental interventions for obesity.
Prev Med.
1999;
29
563-570
MissingFormLabel
- 296
Swinburn B, Egger G.
Preventive strategies against weight gain and obesity.
Obes Rev.
2002;
3
289-301
MissingFormLabel
- 297
Saelens B E, Sallis J F, Black J B, Chen D.
Neighborhood-based differences in physical activity: an environment scale evaluation.
Am J Public Health.
2003;
93
1552-1558
MissingFormLabel
- 298
Ewing R, Brownson R C, Berrigan D.
Relationship between urban sprawl and weight of United States youth.
Am J Prev Med.
2006;
31
464-474
MissingFormLabel
- 299
Morland K, Diez Roux A V, Wing S.
Supermarkets, other food stores, and obesity: the atherosclerosis risk in communities
study.
Am J Prev Med.
2006;
30
333-339
MissingFormLabel
- 300
Boehmer T K, Lovegreen S L, Haire-Joshu D, Brownson R C.
What constitutes an obesogenic environment in rural communities?.
Am J Health Promot.
2006;
20
411-421
MissingFormLabel
- 301
Kumanyika S K, Obarzanek E, Stettler N, Bell R, Field A E, Fortmann S P, Franklin B A, Gillman M W, Lewis C E, Poston 2nd W C, Stevens J, Hong Y.
Population-based prevention of obesity: the need for comprehensive promotion of healthful
eating, physical activity, and energy balance: a scientific statement from American
Heart Association Council on Epidemiology and Prevention, Interdisciplinary Committee
for Prevention (formerly the expert panel on population and prevention science).
Circulation.
2008;
118
428-464
MissingFormLabel
- 302 Ståhl T, Wismar M, Ollila E, Lahtinen E, Leppo K eds.. Health in all policies: prospects and potentials. Helsinki; STAKES 2007
MissingFormLabel
- 303
Morsanutto A, Berto P, Lopatriello S, Gelisio R, Voinovich D, Cippo P P, Mantovani L G.
Major complications have an impact on total annual medical cost of diabetes: results
of a database analysis.
J Diabetes Complications.
2006;
20
163-169
MissingFormLabel
- 304
Norlund A.
Cost of illness of adult diabetes mellitus underestimated if comorbidity is not considered.
J Intern Med.
2001;
250
57-65
MissingFormLabel
- 305 Unwin N, Whiting D, Gan D eds.. International Diabetes Federation, IDF Diabetes Atlas, 4th edition. 2009; available
online:. http://www.eatlas.idf.org
MissingFormLabel
- 306 Zhang P, Zhang X, Betz Brown J et al. International Diabetes Federation. Economic impact of diabetes. 2009; available online:. http://www.eatlas.idf.org (Background paper of the IDF Diabetes Atlas fourth edition)
MissingFormLabel
- 307
Eddy D M, Schlessinger L, Kahn R.
Clinical outcomes and cost-effectiveness of strategies for managing people at high
risk for diabetes.
Ann Intern Med.
2005;
143
251-264
MissingFormLabel
- 308 NICE .Obesity guidance on the prevention, identification, assessment and management of overweight
and obesity in adults and children. London, UK; National Institute for Health and Clinical Excellence 2006
MissingFormLabel
- 309
Gillies C L, Lambert P C, Abrams K R, Sutton A J, Cooper N J, Hsu R T, Davies M J, Khunti K.
Different strategies for screening and prevention of type 2 diabetes in adults: cost
effectiveness analysis.
BMJ.
2008;
336
1180-1185
MissingFormLabel
- 310
Lauritzen T, Borch-Johnsen K, Sandbaek A.
Is prevention of Type-2 diabetes feasible and efficient in primary care? A systematic
PubMed review.
Prim Care Diabetes.
2007;
1
5-11
MissingFormLabel
- 311
Hernan W H, Brandle M, Zhang P, Williamson D F, Matulik M J, Ratner R E, Lachin J M, Engelgau M M.
Costs associated with the primary prevention of type 2 diabetes mellitus in the diabetes
prevention program.
Diabetes Care.
2003;
26
36-47
MissingFormLabel
- 312
Ramachandran A, Snehalatha C, Yamuna A, Mary S, Ping Z.
Cost-effectiveness of the interventions in the primary prevention of diabetes among
Asian Indians: within-trial results of the Indian Diabetes Prevention Programme (IDPP).
Diabetes Care.
2007;
30
2548-2552
MissingFormLabel
- 313
Lindgren P, Lindstrom J, Tuomilehto J, Uusitupa M, Peltonen M, Jonsson B, de Faire U, Hellenius M L.
Lifestyle intervention to prevent diabetes in men and women with impaired glucose
tolerance is cost-effective.
Int J Technol Assess Health Care.
2007;
23
177-183
MissingFormLabel
- 314 Tan-Torres Edejer T, Baltussen R, Adam T, Hutubessy R, Acharya A, Evans D B, Murray C J Ls. Making choices in health. WHO guide to cost-effectiveness analysis. Geneva; WHO 2003
MissingFormLabel
- 315 Gold MR S J, Russell L B, Weinstein M C. Cost-effectiveness in health and medicine. New York; Oxford University Press 1996
MissingFormLabel
- 316
Garber A M, Phelps C E.
Economic foundations of cost-effectiveness analysis.
J Health Econ.
1997;
16
1-31
MissingFormLabel
- 317
Herman W H, Hoerger T J, Brandle M, Hicks K, Sorensen S, Zhang P, Hamman R F, Ackermann R T, Engelgau M M, Ratner R E.
The cost-effectiveness of lifestyle modification or metformin in preventing type 2
diabetes in adults with impaired glucose tolerance.
Ann Intern Med.
2005;
142
323-332
MissingFormLabel
- 318
Jacobs-van der Bruggen M A, Bos G, Bemelmans W J, Hoogenveen R T, Vijgen S M, Baan C A.
Lifestyle interventions are cost-effective in people with different levels of diabetes
risk: results from a modeling study.
Diabetes Care.
2007;
30
128-134
MissingFormLabel
- 319
Herman W H, Smith P J, Thompson T J, Engelgau M M, Aubert R E.
A new and simple questionnaire to identify people at increased risk for undiagnosed
diabetes.
Diabetes Care.
1995;
18
382-387
MissingFormLabel
- 320
Lindström J, Louheranta A, Mannelin M, Rastas M, Salminen V, Eriksson J, Uusitupa M, Tuomilehto J.
The Finnish Diabetes Prevention Study (DPS): Lifestyle intervention and 3-year results
on diet and physical activity.
Diabetes Care.
2003;
26
3230-3236
MissingFormLabel
- 321
Lindström J, Ilanne-Parikka P, Peltonen M, Aunola S, Eriksson J G, Hemiö K, Hämäläinen H, Härkönen P, Keinänen-Kiukaanniemi S, Laakso M, Louheranta A, Mannelin M, Rastas M, Sundvall J, Valle T T, Uusitupa M, Tuomilehto J.
Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention:
The follow-up results of the Finnish Diabetes Prevention Study.
Lancet.
2006;
368
1673-1679
MissingFormLabel
- 322
Orchard T J, Temprosa M, Goldberg R, Haffner S, Ratner R, Marcovina S, Fowler S. for the Diabetes Prevention Program Research G .
The effect of Metformin and intensive lifestyle intervention on the metabolic syndrome:
The Diabetes Prevention Program Randomized Trial.
Ann Intern Med.
2005;
142
611-619
MissingFormLabel
- 323
Avenell A, Broom J, Brown T J, Poobalan A, Aucott L, Stearns S C, Smith W C S, Jung R T, Campbell M K, Grant A M.
Systematic review of the long-term effects and economic consequences of treatments
for obesity and implications for health improvement.
Health Technology Assessment.
2004;
8 (21)
iii-iv
1-182
MissingFormLabel
- 324
McTigue K M, Harris R, Hemphill B, Lux L, Sutton S, Bunton A J, Lohr K.
Screening and interventions for obesity in adults: summary of the evidence for the
U.S. Preventive Services Task Force.
Ann Intern Med.
2003;
139
933-949
MissingFormLabel
- 325
Shaw K A, O'Rourke P, Del Mar C, Kenardy J.
Psychological interventions for overweight or obesity.
Cochrane Database of Systematic Reviews.
2005;
CD003818
MissingFormLabel
Appendix 1
Oral Glucose Tolerance Test (OGTT)
The oral glucose tolerance test (OGTT) is recommended by the WHO for diagnosis of T2DM.
Preparation and cautions
The OGTT should be performed in the morning, after at least three days of unrestricted carbohydrate intake (more than 150 g of carbohydrate daily). The test should not be done during an acute illness, as the results may not reflect the patient's glucose metabolism when healthy. A full test dose of glucose for adults should not be given to a person weighing less than 43 kg, due to the fact excessive amount of glucose may produce a false positive result.
The OGTT procedure
The test should be implemented after an overnight fast of 10 to 16 hours (water is allowed). Smoking or physical activity is not permitted during the test. Usually the OGTT is scheduled to begin in the morning (7–9 am) as glucose tolerance exhibits a diurnal rhythm with a significant decrease in the afternoon. At baseline, the blood sample for glucose determination is taken. The patient is then given a glucose solution to drink. The standard dose is 75 g of glucose in 250–300 ml of water. It should be ingested within 5 minutes. For children, the test load should be 1.75 g per kg of body weight, up to a maximum of 75 g of glucose, The next blood sample is collected at 120 min after the glucose load.
Plasma glucose measurement in blood samples
The processing of the samples after collection is important to ensure accurate measurement of plasma glucose. This requires rapid separation of the plasma after collection. Laboratory measurements rely upon the use of separated plasma and only immediate separation can prevent the lowering of the glucose in the sample. Only if the plasma separation is completely impossible to be done immediately upon collection, glycolysis inhibitors, e.g. sodium fluoride (6 mg per ml of the whole blood) can be used. Rapid cooling of the sample may also be helpful in reducing the loss of glucose if the plasma cannot be immediately separated. In this case, the sample should be placed immediately after collection into ice-water but the plasma separation should occur within 30 minutes. The plasma should be frozen until the glucose concentration can be measured.
International Federation of Clinical Chemistry (IFCC) recommended that all glucose measuring devices report the results in plasma values. The reason for this recommendation is the fact that plasma glucose values are approximately 11 % higher than the values of whole blood glucose measured in the same sample. Moreover, WHO recommendation is that venous plasma glucose should be the standard method for measuring and reporting. However, it should be noted if one converts from venous to capillary plasma glucose the conversion is different in the case of fasting or post-load glucose values. Fasting values for venous and capillary plasma glucose are identical, while the conversion is necessary only for post-load glucose.
Appendix 2
Methods and Procedures
Methods
The IMAGE project is described in detail on its website (http://www.image-project.eu/). Briefly, the development of this guideline followed a pre-defined step-wise procedure addressing:
(i) Stakeholder involvement: the IMAGE guideline development group included diabetes specialists, public health and primary care health professionals, behavioural and social scientists, epidemiologists, patients' organisations, health professional organisations, multidisciplinary, health economists, and health promotion, health policy and health services researchers (for details see Acknowledgements and website). All stakeholders were consulted at numerous stages including the design of the project, definition of the scope and purpose, identification of relevant evidence and developing and refining drafts and final versions of the guideline.
(ii) Scope and purpose: the overall objectives of the guideline were developed through consultation with all stakeholders by email, teleconference and a 2-day symposium. By this process, the clinical questions and target population covered by the guideline were defined and separate working groups established to synthesise the evidence under the following headings: definitions of risk and target population; screening tools, diagnosis and detection; prevention of T2DM and its comorbidities; supporting change in lifestyle behavior for adults at risk of T2DM; models of care and economic aspects of T2DM prevention; and recommendations for economic evaluation of T2DM prevention strategies.
(iii) Evidence identification and review: systematic methods were used to identify relevant evidence using defined search strategies appropriate to the specific topic (see Methodology sections), use of multiple databases, follow up of cited references, and consultation with experts in the field. Criteria for selecting and evaluating the quality of the evidence were based only on publications in peer-reviewed scientific journals and are described in detail (see Methodology sections). Throughout the guideline, SIGN guidance was used to define the criteria for levels (quality) of evidence and grades of the resulting recommendation, which are provided at the end of each chapter. Health benefits, side effects, and risks were considered in formulating these recommendations which were linked to the supporting evidence. Prior to publication, experts externally reviewed the guideline. A procedure for updating the guideline is to be defined.
(iv) Clarity and presentation: the recommendations were reviewed to ensure they are specific and unambiguous. Contextually specific issues arising in each participating European country were discussed to minimise any misunderstanding or misinterpretation. Different options for management are clearly presented and the key recommendations are easily identifiable. The guideline is supported by tools and materials for its application (see website).
(iv) Implementation and dissemination: Potential organizational barriers to applying the recommendations were discussed and addressed where possible. The potential cost implications of applying the recommendations were considered (recognising that precise values will depend on national circumstances such as mix of inputs and unit costs) and the guideline presents key review criteria for monitoring and/or audit purposes. A plan for disseminating the guideline to relevant professional groups and persons with increased diabetes risk is in development.
(v) Editorial independence: The guideline is editorially independent from the funding body. Conflicts of interest of guideline development members have been recorded in the Acknowledgements.
Procedures
At the initial meeting of the guideline development group (Munich, November 2007), the partners discussed the overall project strategies and, based on their specific expertise, assigned themselves to the different working groups. Working group leaders were decided by consensus within each group. Communication occurred within and across the working groups by email, intranet and face-to-face meetings. During a 2-day meeting (Vienna, March 2008), the available information was pre-screened, exclusion and inclusion criteria defined, methodology for evidence identification, grading and recommendation development was further discussed and additional partners allocated to the working groups. Drafts on specific topics were circulated by email and discussed at a further 1-day meeting (Helsinki, June 2008) and across the WPs at a further 2-day meeting (Mallorca, November 2008). In January 2009, the completed drafts were disseminated as a first version of the completed guideline to all stakeholders via email and intranet. After consensus was reached on the contents, the guideline was shortened and edited. Consensus on the final version of the guideline, authors list and publication strategies was achieved during the final 2-day IMAGE meeting (Lisbon, October 2009).
Strengths and limitations
The evidence-based guideline focuses primarily on the European environment. It does not address specific requirements for ethnic minority groups and people with different social and cultural backgrounds. Although the working groups took note of the specific need for prevention of obesity and diabetes in children with metabolic risk factors, it was determined that this laid outside the scope of this guideline. Although many of the interventions identified can be expected to have similar effects in children, the metabolic, psychosocial, behavioural and medical requirements may be different. Despite these limitations, the IMAGE guideline applies to more than 80 % of people with increased metabolic risk in Europe. Further work is necessary to extend the scope of the guideline and to address the needs of children and specific ethnic groups.
Univ. Prof. Dr. Michael Roden
Karl-Landsteiner Institute for Endocrinology and Metabolism
Hanusch Hospital
1140 Vienna
Austria
Institute for Clinical Diabetology, German Diabetes Center, and Department of Metabolic
Diseases
University Clinics
Heinrich Heine University Düsseldorf
Auf'm Hennekamp 65
40225 Düsseldorf
Germany
Email: michael.roden@ddz.uni-duesseldorf.de