Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Obesity01:24

Obesity

The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in adipocytes...
Drug Dosing: Obese Patients01:21

Drug Dosing: Obese Patients

In the United States, obesity is a prominent concern. It is linked to heightened mortality rates due to increased occurrences of conditions such as hypertension, atherosclerosis, coronary artery disease, and diabetes compared to nonobese individuals. A patient is classified as obese if their actual body weight surpasses the ideal or desirable body weight by 20%, based on Metropolitan Life Insurance Company data. Ideal body weights consider average weights and heights for males and females...
Pharmacokinetics in Obese Patients: Drug Metabolism and Excretion01:20

Pharmacokinetics in Obese Patients: Drug Metabolism and Excretion

Drug metabolism, a critical process in the liver, involves two primary phases: Phase I reactions and Phase II conjugation. Obesity introduces significant alterations in this metabolic process, primarily due to fatty infiltration of the liver, leading to conditions such as nonalcoholic fatty liver disease (NAFLD). This condition can modify the activities of both Phase I and II enzymes, impacting how drugs are metabolized in obese patients.Phase I metabolism sees variable effects across...
Pharmacokinetics in Obese Patients: Drug Absorption and Distribution01:25

Pharmacokinetics in Obese Patients: Drug Absorption and Distribution

Obesity significantly alters the pharmacokinetic processes of drug absorption and distribution, presenting unique challenges in medical treatment. The increased fat tissue and decreased lean muscle in obese individuals can significantly affect how drugs are absorbed into the body and distributed across different tissues. This alteration can lead to variances in the effectiveness and safety of medications, necessitating adjustments in dosing or drug selection for obese patients.One notable...
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Visual thinking Strategies and the peril of 'see one, do one, teach one'.

International review of psychiatry (Abingdon, England)·2024
Same author

Removing the COVID-19 Vaccination Requirement for the Military Increases the United States' National Security Concerns.

Family medicine·2023
Same author

The Opaque Language of Sexuality: Medical Students' and Providers' Beliefs About Virginity.

Archives of sexual behavior·2023
Same author

Visual Thinking Strategies in Medical Education: Staying Open to Possibilities.

Academic medicine : journal of the Association of American Medical Colleges·2023
Same author

Promotion Preparation Tips for Academic Family Medicine Educators.

Family medicine·2022
Same author

Taking Off the Mask: Impostorism and Medical Education.

PRiMER (Leawood, Kan.)·2022
Same journal

Characteristics of Children Seeking Care at School-Based Health Centers.

Journal of the American Board of Family Medicine : JABFM·2026
Same journal

An Analysis of Common Questions and Concerns of Older Adults with Multiple Chronic Conditions.

Journal of the American Board of Family Medicine : JABFM·2026
Same journal

Primary HPV Testing for Cervical Cancer Screening Among Family Medicine Educators.

Journal of the American Board of Family Medicine : JABFM·2026
Same journal

"Hard Fork" for Family Medicine - Artificial Intelligence Will Change the Way We Experience Practice.

Journal of the American Board of Family Medicine : JABFM·2026
Same journal

The Importance of Primary Care Subject Matter Experts: Output Quality in Large Language Models Prompt Engineering.

Journal of the American Board of Family Medicine : JABFM·2026
Same journal

Daily Nutrient Intake and Inflammation Among US Adults.

Journal of the American Board of Family Medicine : JABFM·2026
See all related articles

Related Experiment Video

Updated: Jun 2, 2026

A Method for Manipulating Blood Glucose and Measuring Resulting Changes in Cognitive Accessibility of Target Stimuli
08:01

A Method for Manipulating Blood Glucose and Measuring Resulting Changes in Cognitive Accessibility of Target Stimuli

Published on: August 12, 2016

Coding and obesity: room to grow.

Mark B Stephens1

  • 1Department of Family Medicine, Uniformed Services University, Bethesda, MD 20814, USA. mstephens@usuhs.mil

Journal of the American Board of Family Medicine : JABFM
|May 10, 2011
PubMed
Summary
This summary is machine-generated.

Obesity documentation is inadequate in the US military health system, with only 16% of patients with a high body mass index (BMI) having an obesity diagnosis code. This impacts preventive care and obesity trend mitigation.

More Related Videos

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
14:56

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies

Published on: May 6, 2022

Related Experiment Videos

Last Updated: Jun 2, 2026

A Method for Manipulating Blood Glucose and Measuring Resulting Changes in Cognitive Accessibility of Target Stimuli
08:01

A Method for Manipulating Blood Glucose and Measuring Resulting Changes in Cognitive Accessibility of Target Stimuli

Published on: August 12, 2016

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
14:56

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies

Published on: May 6, 2022

Area of Science:

  • Public Health
  • Health Informatics
  • Clinical Documentation

Background:

  • Obesity is a primary health concern in the United States.
  • Healthcare providers frequently underdocument obesity in patients with a body mass index (BMI) over 30.

Purpose of the Study:

  • To assess the prevalence of obesity diagnosis coding in a large military health system.
  • To identify the gap between documented BMI and recorded obesity diagnoses.

Main Methods:

  • A structured data query was performed on the electronic medical records of over 3 million patients.
  • Body mass index (BMI) and International Classification of Disease (ICD) codes were analyzed.

Main Results:

  • 15% of the patient cohort (482,628 individuals) had a BMI greater than 30.
  • Among patients with a BMI > 30, only 16% (78,776) had an ICD-9 code documenting obesity.

Conclusions:

  • Obesity coding and documentation within the military health system are insufficient.
  • Inadequate documentation has significant implications for preventive health counseling and combating obesity trends.