R3 최은용 /Prof. 전 숙 NEJM 364;14 april 7, 2011 Amir Tirosh, M.D., Ph.D., Iris Shai, R.D., Ph.D., Arnon Afek, M.D., M.H.A., Gal Dubnov-Raz, M.D., Nir Ayalon,

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R3 최은용 /Prof. 전 숙 NEJM 364;14 april 7, 2011 Amir Tirosh, M.D., Ph.D., Iris Shai, R.D., Ph.D., Arnon Afek, M.D., M.H.A., Gal Dubnov-Raz, M.D., Nir Ayalon, M.D., Barak Gordon, M.D., Estela Derazne, M.Sc., Dorit Tzur, M.B.A., Ari Shamis M.D., M.P.A., Shlomo Vinker, M.D., and Assaf Rudich, M.D., Ph.D 1

 obesity in adulthood : risk factor for both type 2 diabetes and coronary heart disease but remain unclear..  elevated BMI in childhood or adolescence  increased risk of disease or death later in life in some study  whether elevated BMI in childhood, adolescence, or adulthood, or an increase in BMI during the transition from adolescence to adulthood  risk of disease?  Increases in BMI in childhood and adolescence  coronary heart disease and type 2 diabetes mellitus in young adults  data from the Metabolic, Lifestyle, and Nutrition Assessment in Young Adults (MELANY) study of the Israel Defense Forces (IDF) 2

3 Study Population  Prospective study : The MELANY study at the IDF Medical Corps Staff Periodic Examination Center beginning at approximately 25 years of age: Weight, height, and blood pressure are measured, and a complete physical examination  data on weight and height measured at adolescence (17 years of age)  Inclusion : 37,674 male whose BMI at adolescence  Exclusion: previously diagnosed diabetes (type 1 or 2) or coronary heart disease at adolescence  1173 men incident diabetes developed during the study, 20 (1.7%) type 1 diabetes

Follow-up and Outcomes  Mean total follow-up : 17.4±7.4 years (median, 16.9(127 deaths)  DM diagnosis : two fasting plasma glucose levels of 126 mg per deciliter or higher  CHD diagnosis : angiography more than one vessel( >50% )stenosis  All participants 35 years of age or older underwent a treadmill exercise  (+) exercise test  coronary angiography  Borderline, symptoms + no changes on ECG  thallium-201 scan 4 ST-segment depression of more than 2 mm in two contiguous leads, measured 80 msec after the J point; symptoms of angina; exhaustion; or achievement of the target heart rate.

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 Elevated BMI in adolescence -diabetes : recent BMI and weight gain vs coronary heart disease: both elevated BMI in adolescence and recent BMI natural history of coronary heart disease : gradually increasing atherosclerosis  Normal BMI : increased risk of coronary heart disease and diabetes  public health  role of elevated BMI at different ages in the pathogenesis of different diseases. 11

Limitations  body composition lower decile for BMI during adolescence : lower risk of coronary heart disease or type 2 diabetes in early adulthood  reflecting a later onset of puberty or later increase in BMI  consideration is waist circumference  army personnel, exclusi on of women 12

The strengths  well-documented outcomes, diagnostic criteria, uniform and systematic follow-up assessments  adolescent BMI predicts angiography-proven coronary heart disease in young adulthood, : results of the Norwegian Health Survey  normal BMI range as defined by the CDC, which is lower than the cutoffs at the 85th percentile 13

 type 2 diabetes a significantly elevated hazard ratio was observed only in the 80th percentile of adolescent BMI and higher  adjustment for BMI in adulthood BMI in adolescence has a more reversible or shorter term effect on the risk of diabetes  diabetes represents a more functional pathomechanism than coronary heart disease, which relies on anatomical changes (atherosclerosis) diabetes is readily reversible in response to changes in lifestyle or surgical interventions, whereas atherosclerosis 14

 In conclusion, BMI at the age of 17 years is an independent predictor of coronary heart disease in young adulthood, even when it is well within what is now defined as the normal range of BMI, suggesting that body mass has long term consequences.  Although adolescent BMI is also a predictor of the risk of type 2 diabetes, the risk is not independent of that predicted by BMI in adulthood. 15