Foundational knowledge regarding childhood obesity: a cross-sectional study of medical students

Emily Hill Guseman1,2, Elizabeth A Beverly3,4, Jonathon Whipps5

  • 1Diabetes Institute, Ohio University, Athens, OH, 45701, USA. gusemane@ohio.edu.

BMC Public Health
|September 13, 2019
PubMed
Abstract

Related Concept Videos

Cross-Sectional Research01:50

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
12.4K
Quantification of Optic Nerve Cross Sectional Area on MRI: A Novel Protocol using Fiji Software08:57

Quantification of Optic Nerve Cross Sectional Area on MRI: A Novel Protocol using Fiji Software

We provided a detailed protocol for a standardized method of optic nerve assessment and quantification using MRI, utilizing a widely available imaging sequence, and open access software for image analysis. Following this standardized protocol would provide meaningful data for comparison between different patients and different...
4.5K
Profile Leveling and Cross Sections01:26

Profile Leveling and Cross Sections

Profile leveling and cross-sections are surveying methods used to determine and document terrain elevations for infrastructure projects such as highways, railroads, canals, and pipelines. These methods provide data for earthwork planning and alignment of proposed routes.  Profile leveling involves measuring elevations along a fixed line to create a vertical terrain profile. A surveyor sets up a leveling instrument at the benchmark (BM) and records a backsight (BS) to determine the...
1.6K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

This article describes RUGGED (Retrieval Under Graph-Guided Explainable disease Distinction), which integrates Large Language Model (LLM) inference with Retrieval-Augmented Generation (RAG). It draws evidence from expert-curated biomedical knowledge bases and peer-reviewed biomedical publications to synthesize new knowledge from up-to-date information, identify explainable and actionable predictions, and pinpoint promising directions for hypothesis-driven...
1.3K
Multidisciplinary Approach to Obesity Management: A Case Report05:10

Multidisciplinary Approach to Obesity Management: A Case Report

Obesity care is best delivered after in-depth initial screening and evaluation, using an individualized approach comprising multidisciplinary care, evidence-based lifestyle behavioral change strategies, and frequent follow-up. We illustrate a successful 6 month course of weight loss treatment, resulting in reversal of obesity-related chronic conditions and improvement in diet, sleep, mood, and physical fitness.
922
Spinal Cord: Cross-sectional Anatomy01:16

Spinal Cord: Cross-sectional Anatomy

The cross-sectional anatomy of the spinal cord offers a detailed view of its complex structure and function within the central nervous system. At the core of the spinal cord lies the gray matter, characterized by its butterfly or "H"-shaped appearance in cross-section. This central region is enveloped by white matter, with the overall structure divided into symmetrical halves by the dorsal median sulcus and the ventral median fissure.
Gray Matter and its Components
Central to the gray matter is...
4.4K