AIMC Topic: Nutrition Surveys

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High Amounts of Sitting, Low Cardiorespiratory Fitness, and Low Physical Activity Levels: 3 Key Ingredients in the Recipe for Influencing Metabolic Syndrome Prevalence.

American journal of health promotion : AJHP Dec 22, 2016
PURPOSE: Limited research has evaluated the independent and additive associations of moderate-to-vigorous physical activity (MVPA), sedentary behavior (SB), and cardiorespiratory fitness (CRF) with metabolic syndrome, which was the purpose of this st...
Sedentary Behavior Sitting Position Logistic Models Nutrition Surveys Male Oxygen Consumption Middle Aged Metabolic Syndrome Exercise Test Exercise Lipids Adiposity Prevalence Blood Pressure Cardiorespiratory Fitness Humans Blood Glucose Accelerometry Female Young Adult Adult Cross-Sectional Studies
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Into the Bowels of Depression: Unravelling Medical Symptoms Associated with Depression by Applying Machine-Learning Techniques to a Community Based Population Sample.

PloS one Dec 9, 2016
BACKGROUND: Depression is commonly comorbid with many other somatic diseases and symptoms. Identification of individuals in clusters with comorbid symptoms may reveal new pathophysiological mechanisms and treatment targets. The aim of this research w...
Gastrointestinal Diseases Depressive Disorder Community Networks Logistic Models Nutrition Surveys Cluster Analysis Population Surveillance Self Report Humans Machine Learning Female Adult Cross-Sectional Studies Male Middle Aged Comorbidity Depression
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Simple Scoring System and Artificial Neural Network for Knee Osteoarthritis Risk Prediction: A Cross-Sectional Study.

PloS one Feb 9, 2016
BACKGROUND: Knee osteoarthritis (OA) is the most common joint disease of adults worldwide. Since the treatments for advanced radiographic knee OA are limited, clinicians face a significant challenge of identifying patients who are at high risk of OA ...
Humans Neural Networks, Computer Cross-Sectional Studies Male Middle Aged Nutrition Surveys Predictive Value of Tests Early Diagnosis Republic of Korea Female Risk Factors Aged Adult Osteoarthritis, Knee Diagnostic Self Evaluation
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Fusing Data Mining, Machine Learning and Traditional Statistics to Detect Biomarkers Associated with Depression.

PloS one Feb 5, 2016
BACKGROUND: Atheoretical large-scale data mining techniques using machine learning algorithms have promise in the analysis of large epidemiological datasets. This study illustrates the use of a hybrid methodology for variable selection that took acco...
Depressive Disorder Adult Male Middle Aged Adolescent Blood Glucose Erythrocyte Indices Logistic Models Bilirubin Humans Biomarkers Nutrition Surveys Multivariate Analysis Data Mining Female Machine Learning Aged Algorithms Aged, 80 and over Young Adult
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Dietary pattern, serum magnesium, ferritin, C-reactive protein and anaemia among older people.

Clinical nutrition (Edinburgh, Scotland) Dec 25, 2015
BACKGROUND & AIMS: Epidemiological data of dietary patterns and anaemia among older Chinese remains extremely scarce. We examined the association between dietary patterns and anaemia in older Chinese, and to assess whether biomarkers of serum magnesi...
Dietary Supplements C-Reactive Protein Magnesium Ferritins Body Weight Humans Asian People Biomarkers Anemia, Iron-Deficiency Female Mental Recall China Aged Inflammation Cross-Sectional Studies Middle Aged Nutrition Surveys Male Nutrition Assessment Socioeconomic Factors Diet Body Mass Index Exercise Prevalence
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Vitamin D status in youth with type 1 and type 2 diabetes enrolled in the Pediatric Diabetes Consortium (PDC) is not worse than in youth without diabetes.

Pediatric diabetes Nov 26, 2015
OBJECTIVE: To describe vitamin D levels and prevalence of vitamin D sufficiency, insufficiency and deficiency in a large, ethnically/racially diverse population of youth with type 1 diabetes (T1D) and type 2 diabetes (T2D) in comparison to national d...
Prevalence Adolescent Cohort Studies Child Diabetes Mellitus, Type 2 Humans Diabetes Mellitus, Type 1 Female Nutrition Surveys Male Vitamin D Vitamin D Deficiency Nutritional Status
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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...
Humans Biomarkers Overweight Body Mass Index Vitamin D Deficiency Adolescent Adolescent Nutritional Physiological Phenomena Calcifediol Child Child Nutritional Physiological Phenomena Female Nutritional Status Adiposity Nutrition Surveys United States Cross-Sectional Studies Risk Pediatric Obesity Male 25-Hydroxyvitamin D 2 Diet Prevalence
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Machine Learning Approaches for Detecting Diabetic Retinopathy from Clinical and Public Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
INTRODUCTION: Annual eye examinations are recommended for diabetic patients in order to detect diabetic retinopathy and other eye conditions that arise from diabetes. Medically underserved urban communities in the US have annual screening rates that ...
Safety-net Providers Urban Population Retinal Diseases Statistics as Topic Medically Underserved Area Public Health Informatics Diabetic Retinopathy Machine Learning Sensitivity and Specificity Nutrition Surveys United States Humans
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Investigating the potential risk of cadmium exposure on Osteoporosis: An integrated multi-omics approach.

Ecotoxicology and environmental safety Aug 1, 2025
Osteoporosis (OP) is a chronic progressive bone disease, and its occurrence and development under cadmium exposure remain unclear. This study aims to explore the role of cadmium exposure in the pathogenesis of OP through a comprehensive analysis of m...
Cross-Sectional Studies Male Middle Aged Molecular Docking Simulation Multiomics Humans Osteoporosis Female Risk Factors Nutrition Surveys Environmental Pollutants Environmental Exposure Cadmium Heme Oxygenase-1
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Continual learning across population cohorts with distribution shift: insights from multi-cohort metabolic syndrome identification.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2025
OBJECTIVE: This study aims to tackle the critical challenge of adapting deep learning (DL) models for deployment in real-world healthcare settings, specifically focusing on catastrophic forgetting due to distribution shifts between hospital and non-h...
Humans Deep Learning Nutrition Surveys ROC Curve Metabolic Syndrome Datasets as Topic
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