Elvis A. Carnero, Karen D. Corbin, Anna Casu, Daria Igudesman, Anika Bilal, Steven R. Smith, Michael R. Kosorok, David M. Maahs, Elizabeth J. Mayer-Davis, Richard E. Pratley
{"title":"1 型糖尿病患者的 24 小时能量消耗:对临床能量消耗估算公式的影响。","authors":"Elvis A. Carnero, Karen D. Corbin, Anna Casu, Daria Igudesman, Anika Bilal, Steven R. Smith, Michael R. Kosorok, David M. Maahs, Elizabeth J. Mayer-Davis, Richard E. Pratley","doi":"10.1038/s41430-024-01446-4","DOIUrl":null,"url":null,"abstract":"Type 1 diabetes (T1D) is associated with an increase in resting metabolic rate (RMR), but the impact of T1D on other components of 24-h energy expenditure (24-h EE) is not known. Also, there is a lack of equations to estimate 24-h EE in patients with T1D. The aims of this analysis were to compare 24-h EE and its components in young adults with T1D and healthy controls across the spectrum of body mass index (BMI) and derive T1D-specific equations from clinical variables. Thirty-three young adults with T1D diagnosed ≥1 year prior and 33 healthy controls matched for sex, age and BMI were included in this analysis. We measured 24-h EE inside a whole room indirect calorimeter (WRIC) and body composition with dual x-ray absorptiometry. Participants with T1D had significantly higher 24-h EE than healthy controls (T1D = 2047 ± 23 kcal/day vs control= 1908 ± 23 kcal/day; P < 0.01). We derived equations to estimate 24-h EE with both body composition (fat free mass + fat mass) and anthropometric (weight + height) models, which provided high coefficients of determination (R2 = 0.912 for both). A clinical model that did not incorporate spontaneous physical activity yielded high coefficients of determination as well (R2 = 0.897 and R2 = 0.880 for body composition and anthropometric models, respectively). These results confirm that young adults with established T1D have increased 24-h EE relative to controls without T1D. The derived equations from clinically available variables can assist clinicians with energy prescriptions for weight management in patients with T1D.","PeriodicalId":11927,"journal":{"name":"European Journal of Clinical Nutrition","volume":null,"pages":null},"PeriodicalIF":3.6000,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41430-024-01446-4.pdf","citationCount":"0","resultStr":"{\"title\":\"24-h energy expenditure in people with type 1 diabetes: impact on equations for clinical estimation of energy expenditure\",\"authors\":\"Elvis A. Carnero, Karen D. Corbin, Anna Casu, Daria Igudesman, Anika Bilal, Steven R. Smith, Michael R. Kosorok, David M. Maahs, Elizabeth J. Mayer-Davis, Richard E. Pratley\",\"doi\":\"10.1038/s41430-024-01446-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Type 1 diabetes (T1D) is associated with an increase in resting metabolic rate (RMR), but the impact of T1D on other components of 24-h energy expenditure (24-h EE) is not known. Also, there is a lack of equations to estimate 24-h EE in patients with T1D. The aims of this analysis were to compare 24-h EE and its components in young adults with T1D and healthy controls across the spectrum of body mass index (BMI) and derive T1D-specific equations from clinical variables. Thirty-three young adults with T1D diagnosed ≥1 year prior and 33 healthy controls matched for sex, age and BMI were included in this analysis. We measured 24-h EE inside a whole room indirect calorimeter (WRIC) and body composition with dual x-ray absorptiometry. Participants with T1D had significantly higher 24-h EE than healthy controls (T1D = 2047 ± 23 kcal/day vs control= 1908 ± 23 kcal/day; P < 0.01). We derived equations to estimate 24-h EE with both body composition (fat free mass + fat mass) and anthropometric (weight + height) models, which provided high coefficients of determination (R2 = 0.912 for both). A clinical model that did not incorporate spontaneous physical activity yielded high coefficients of determination as well (R2 = 0.897 and R2 = 0.880 for body composition and anthropometric models, respectively). These results confirm that young adults with established T1D have increased 24-h EE relative to controls without T1D. 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24-h energy expenditure in people with type 1 diabetes: impact on equations for clinical estimation of energy expenditure
Type 1 diabetes (T1D) is associated with an increase in resting metabolic rate (RMR), but the impact of T1D on other components of 24-h energy expenditure (24-h EE) is not known. Also, there is a lack of equations to estimate 24-h EE in patients with T1D. The aims of this analysis were to compare 24-h EE and its components in young adults with T1D and healthy controls across the spectrum of body mass index (BMI) and derive T1D-specific equations from clinical variables. Thirty-three young adults with T1D diagnosed ≥1 year prior and 33 healthy controls matched for sex, age and BMI were included in this analysis. We measured 24-h EE inside a whole room indirect calorimeter (WRIC) and body composition with dual x-ray absorptiometry. Participants with T1D had significantly higher 24-h EE than healthy controls (T1D = 2047 ± 23 kcal/day vs control= 1908 ± 23 kcal/day; P < 0.01). We derived equations to estimate 24-h EE with both body composition (fat free mass + fat mass) and anthropometric (weight + height) models, which provided high coefficients of determination (R2 = 0.912 for both). A clinical model that did not incorporate spontaneous physical activity yielded high coefficients of determination as well (R2 = 0.897 and R2 = 0.880 for body composition and anthropometric models, respectively). These results confirm that young adults with established T1D have increased 24-h EE relative to controls without T1D. The derived equations from clinically available variables can assist clinicians with energy prescriptions for weight management in patients with T1D.
期刊介绍:
The European Journal of Clinical Nutrition (EJCN) is an international, peer-reviewed journal covering all aspects of human and clinical nutrition. The journal welcomes original research, reviews, case reports and brief communications based on clinical, metabolic and epidemiological studies that describe methodologies, mechanisms, associations and benefits of nutritional interventions for clinical disease and health promotion.
Topics of interest include but are not limited to:
Nutrition and Health (including climate and ecological aspects)
Metabolism & Metabolomics
Genomics and personalized strategies in nutrition
Nutrition during the early life cycle
Health issues and nutrition in the elderly
Phenotyping in clinical nutrition
Nutrition in acute and chronic diseases
The double burden of ''malnutrition'': Under-nutrition and Obesity
Prevention of Non Communicable Diseases (NCD)