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1.
Pediatr Obes ; 11(4): 264-71, 2016 08.
Article in English | MEDLINE | ID: mdl-26198967

ABSTRACT

BACKGROUND: Infant adiposity better predicts childhood obesity/metabolic risk than weight, but technical challenges fuel controversy over the accuracy of adiposity estimates. OBJECTIVE: We prospectively measured adiposity (%fat) in term newborns (NB) at 2 weeks (n = 41) and 1 year (n = 30). METHODS: %fat was measured by dual X-ray absorptiometry (DXA), PEAPOD and skin-folds (SF). DXAs were analyzed using Hologic Apex software 3.2(DXAv1) and a new version 5.5.2(DXAv2). RESULTS: NB %fat by DXAv2 was 55% higher than DXAv1 (14.2% vs. 9.1%), 45% higher than SF (9.8%), and 36% higher than PEAPOD (10.4%). Among NB, Pearson correlations were 0.73-0.89, but agreement (intra-class correlations) poor between DXAv2 and DXAv1 (0.527), SF (0.354) and PEAPOD (0.618). At 1 year, %fat by DXAv2 was 51% higher than DXAv1 (33.6% vs. 22.4%), and twice as high compared with SF (14.6%). Agreement was poor between DXAv2 and DXAv1 (0.204), and SF (0.038). The absolute increase in %fat from 2 weeks to 1 year was 19.7% (DXAv2), 13.6% (DXAv1) and only 4.8% by SF. CONCLUSION: Analysis of the same DXA scans using new software yielded considerably higher adiposity estimates at birth and 1 year compared with the previous version. Using different modalities to assess body composition longitudinally is problematic. Standardization is gravely needed to determine how early life exposures affect childhood obesity/metabolic risk.


Subject(s)
Absorptiometry, Photon/methods , Adiposity , Body Composition , Plethysmography/methods , Adipose Tissue/metabolism , Anthropometry , Body Weight , Female , Humans , Infant , Infant, Newborn , Male , Pediatric Obesity/metabolism , Prospective Studies , Software
2.
Diabetologia ; 52(5): 801-9, 2009 May.
Article in English | MEDLINE | ID: mdl-19219420

ABSTRACT

AIMS/HYPOTHESIS: Coronary heart disease is the leading cause of mortality among people with type 1 diabetes. Diet is an important lifestyle factor that relates to risk of CHD. The aim of this study was to examine how diet and adherence to dietary guidelines differ between adults with and without type 1 diabetes, and their correlation with CHD risk factors and coronary artery calcium (CAC). METHODS: The study involved 571 people with type 1 diabetes and 696 controls, aged 19 to 56 years, who were asymptomatic for CHD. CAC was measured by electron-beam computed tomography. RESULTS: Compared with the controls, adults with type 1 diabetes reported a diet higher in fat, saturated fat and protein but lower in carbohydrates. Fewer than half of those with type 1 diabetes met dietary guidelines for fat and carbohydrate intake, and only 16% restricted saturated fat to less than 10% of daily energy intake. Adults with type 1 diabetes were significantly less likely to meet dietary guidelines than controls. Fat and saturated fat intakes were positively correlated, but carbohydrate intake was negatively correlated with CHD risk factors and HbA(1c). A high-fat diet and higher intake of protein were associated with greater odds of CAC, while higher carbohydrate intake was associated with reduced odds of CAC. CONCLUSIONS/INTERPRETATION: Adults with type 1 diabetes reported consuming higher than recommended levels of fat and saturated fat. High fat intake was associated with increased CHD risk factors, worse glycaemic control and CAC. An atherogenic diet may contribute to the risk of CHD in adults with type 1 diabetes.


Subject(s)
Coronary Disease/etiology , Diabetes Mellitus, Type 1/complications , Diabetic Angiopathies/epidemiology , Diet, Ketogenic/adverse effects , Dietary Fats/adverse effects , Adult , Age of Onset , Atherosclerosis/epidemiology , Calcinosis/epidemiology , Calcinosis/mortality , Coronary Disease/diagnostic imaging , Coronary Disease/mortality , Diabetes Mellitus, Type 1/diagnostic imaging , Diabetes Mellitus, Type 1/mortality , Feeding Behavior , Female , Humans , Insulin/therapeutic use , Lipids/blood , Male , Middle Aged , Risk Factors , Surveys and Questionnaires , Tomography, X-Ray Computed , Young Adult
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