AIMC Topic: Pediatric Obesity

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Diagnostic performance of an artificial neural network to predict excess body fat in children.

Pediatric obesity Dec 27, 2018
BACKGROUND: Waist circumference (WC) and z scores of body mass index (BMI) are commonly used to predict childhood obesity, although BMI and WC have a limited sensitivity.
Absorptiometry, Photon Adipose Tissue Self Concept Body Weight Waist Circumference Female Young Adult Sensitivity and Specificity Male Adolescent Child Nutrition Surveys Pediatric Obesity Body Mass Index Humans Neural Networks, Computer
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Effect of a short-term physical activity intervention on liver fat content in obese children.

Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme Dec 20, 2017
Nonalcoholic fatty liver disease is the most common chronic liver disease and can present with advanced fibrosis or nonalcoholic steatohepatitis. The purpose of this study was to investigate the effect of a 7-day intense physical activity interventio...
Adiposity Insulin Resistance Male Aspartate Aminotransferases Age Factors Humans Treatment Outcome Weight Loss Liver Biomarkers Pediatric Obesity Insulin Republic of Korea Lipid Metabolism Body Mass Index Time Factors Female Non-alcoholic Fatty Liver Disease Child Exercise Therapy
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Recovery Responses to Maximal Exercise in Healthy-Weight Children and Children With Obesity.

Research quarterly for exercise and sport Dec 20, 2017
PURPOSE: The purpose of this study was to examine differences in heart rate recovery (HRRec) and oxygen consumption recovery (VO recovery) between young healthy-weight children and children with obesity following a maximal volitional graded exercise ...
Male Exercise Case-Control Studies Child Body Weight Humans Pediatric Obesity Exercise Tolerance Female Heart Rate Body Mass Index Cardiorespiratory Fitness Oxygen Consumption Body Composition Exercise Test
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Genetic Variation in CD36 Is Associated with Decreased Fat and Sugar Intake in Obese Children and Adolescents.

Journal of nutrigenetics and nutrigenomics Feb 25, 2017
BACKGROUND/AIMS: Taste is recognized as an important predictor of food choices. Thus, polymorphisms in genes encoding taste receptors may explain the variability in food preference and intake. Here, we aimed to determine whether genetic variation in ...
Genotype Genetic Association Studies Pediatric Obesity Eating Food Preferences Feeding Behavior CD36 Antigens Taste Perception Dietary Fats Brazil Adolescent Child Genetic Predisposition to Disease Female Polymorphism, Single Nucleotide Dietary Sugars Humans Risk Factors Cross-Sectional Studies Male
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Developing an Algorithm to Detect Early Childhood Obesity in Two Tertiary Pediatric Medical Centers.

Applied clinical informatics Jul 20, 2016
OBJECTIVE: The objective of this study is to develop an algorithm to accurately identify children with severe early onset childhood obesity (ages 1-5.99 years) using structured and unstructured data from the electronic health record (EHR).
Humans Machine Learning Female Male Pediatric Obesity Early Diagnosis Infant Tertiary Healthcare Comorbidity Child, Preschool Child
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Low serum 25-hydroxyvitamin D concentrations are associated with total adiposity of children in the United States: National Health and Examination Survey 2005 to 2006.

Nutrition research (New York, N.Y.) Nov 6, 2015
A negative association between serum 25-hydroxyvitamn D (25[OH]D) concentrations and adiposity has been found in adults. We hypothesized that serum 25(OH)D concentrations of children would correlate positively with vitamin D intake and correlate nega...
Child Nutrition Surveys Risk United States 25-Hydroxyvitamin D 2 Pediatric Obesity Adolescent Nutritional Physiological Phenomena Overweight Child Nutritional Physiological Phenomena Cross-Sectional Studies Body Mass Index Humans Vitamin D Deficiency Male Biomarkers Calcifediol Diet Female Adiposity Prevalence Nutritional Status Adolescent
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Interpretable Probabilistic Latent Variable Models for Automatic Annotation of Clinical Text.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
We propose Latent Class Allocation (LCA) and Discriminative Labeled Latent Dirichlet Allocation (DL-LDA), two novel interpretable probabilistic latent variable models for automatic annotation of clinical text. Both models separate the terms that are ...
Support Vector Machine Models, Statistical Natural Language Processing Bayes Theorem Humans Interviews as Topic Adolescent Child Pediatric Obesity
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Exploring the forest instead of the trees: An innovative method for defining obesogenic and obesoprotective environments.

Health & place Sep 19, 2015
Past research has assessed the association of single community characteristics with obesity, ignoring the spatial co-occurrence of multiple community-level risk factors. We used conditional random forests (CRF), a non-parametric machine learning appr...
Humans Machine Learning Algorithms Female Risk Factors Pennsylvania Male Adolescent Child Pediatric Obesity Residence Characteristics
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Machine Learning Techniques for Prediction of Early Childhood Obesity.

Applied clinical informatics Aug 12, 2015
OBJECTIVES: This paper aims to predict childhood obesity after age two, using only data collected prior to the second birthday by a clinical decision support system called CHICA.
Child Pediatric Obesity Decision Trees Medical Informatics Humans Machine Learning Databases, Factual Female Male
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Exploring the effect of the triglyceride-glucose index on bone metabolism in prepubertal children, a retrospective study: insights from traditional methods and machine-learning-based bone remodeling prediction.

PeerJ Jan 1, 2025
BACKGROUND: Childhood obesity poses a significant risk to bone health, but the impact of insulin resistance (IR) on bone metabolism in prepubertal children, as assessed by the triglyceride-glucose (TyG) index, remains underexplored. Bone turnover mar...
Humans Machine Learning Biomarkers Retrospective Studies Pediatric Obesity Triglycerides Bone and Bones Procollagen Bone Remodeling Female Male Blood Glucose Child Insulin Resistance
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