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

Drug Dosing: Obese Patients01:21

Drug Dosing: Obese Patients

349
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...
349
Obesity01:24

Obesity

1.6K
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...
1.6K
Pharmacokinetics in Obese Patients: Drug Absorption and Distribution01:25

Pharmacokinetics in Obese Patients: Drug Absorption and Distribution

413
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...
413
Two-Way ANOVA01:17

Two-Way ANOVA

3.7K
The two-way ANOVA is an extension of the one-way ANOVA. It is a statistical test performed on three or more samples categorized by two factors - a row factor and a column factor. Ronald Fischer mentioned it in 1925 in his book 'Statistical Methods for Researchers.'
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
3.7K
Signs of Puberty01:27

Signs of Puberty

2.1K
Puberty is a critical phase, typically beginning between the ages of 8 and 13 in girls and 9 and 14 in boys, though timing can vary based on genetics, environmental factors, and overall health. This period is characterized by the development of secondary sexual characteristics and the attainment of reproductive potential. Endocrine changes underpin puberty, with hormonal surges of Luteinizing Hormone (LH) and Follicle-Stimulating Hormone (FSH) instigated by Gonadotropin-Releasing Hormone (GnRH)...
2.1K
Anorexia Nervosa01:28

Anorexia Nervosa

2.0K
Anorexia nervosa is a complex and severe eating disorder characterized by an intense fear of weight gain, an unrelenting pursuit of thinness, and a distorted body image. It often leads to dangerously low body weight relative to an individual's age and height. This disorder is marked by significant physical and psychological consequences, making it one of the most life-threatening psychiatric illnesses.
Symptoms and Physical Effects
Individuals with anorexia nervosa commonly exhibit extreme...
2.0K

You might also read

Related Articles

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

Sort by
Same author

Vascular Phenotyping in Parkinson's Disease: Diabetes Mellitus Operationalizes a Microvascular Metabolic Syndrome Cluster Across PPMI Diagnostic Cohorts.

medRxiv : the preprint server for health sciences·2026
Same author

Racial and Ethnic Differences in Health Service Utilization Among Non-Hispanic Black and Non-Hispanic White Men: Findings From Medical Expenditure Panel Survey.

American journal of men's health·2026
Same author

Evaluating the predictive utility of European-based and transethnic polygenic risk scores for kidney function in older Black adults: insights from the Health and Retirement Study.

The journals of gerontology. Series A, Biological sciences and medical sciences·2026
Same author

Leisure activity engagement, spirituality, and cognitive function in middle-aged and older Black adults.

The journals of gerontology. Series B, Psychological sciences and social sciences·2026
Same author

White matter hyperintensities mediate a greater proportion of age-related lower cognitive scores in non-Hispanic White participants compared to non-Hispanic Black and Hispanic participants: HABS-HD.

Alzheimer's & dementia (Amsterdam, Netherlands)·2026
Same author

Association Between Discrimination in Health Care and ASCVD Among Middle-Aged and Older Adults in the United States.

Circulation. Population health and outcomes·2026

Related Experiment Video

Updated: Apr 14, 2026

Determining Gender-Based Differences in Retinal and Choroidal Thickness in Underweight Individuals via Swept-Source Optical Coherence Tomography
03:35

Determining Gender-Based Differences in Retinal and Choroidal Thickness in Underweight Individuals via Swept-Source Optical Coherence Tomography

Published on: December 1, 2023

810

Exploring racial differences in the obesity gender gap.

Marissa J Seamans1, Whitney R Robinson1, Roland J Thorpe2

  • 1Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill.

Annals of Epidemiology
|April 19, 2015
PubMed
Summary
This summary is machine-generated.

The gender gap in obesity is similar for Black and White adults in integrated urban communities. Previous studies suggested a larger gap in Black populations, but this research controlled for socioeconomic factors.

Keywords:
GenderHealth disparitiesObesityRaceSocioeconomic status

More Related Videos

Development and Validation of a Methodology for Establishing Obese Rat Models with Typical Fatty Pancreas
03:07

Development and Validation of a Methodology for Establishing Obese Rat Models with Typical Fatty Pancreas

Published on: November 11, 2025

535
Skeletal Muscle Gender Dimorphism from Proteomics
09:29

Skeletal Muscle Gender Dimorphism from Proteomics

Published on: December 14, 2011

13.0K

Related Experiment Videos

Last Updated: Apr 14, 2026

Determining Gender-Based Differences in Retinal and Choroidal Thickness in Underweight Individuals via Swept-Source Optical Coherence Tomography
03:35

Determining Gender-Based Differences in Retinal and Choroidal Thickness in Underweight Individuals via Swept-Source Optical Coherence Tomography

Published on: December 1, 2023

810
Development and Validation of a Methodology for Establishing Obese Rat Models with Typical Fatty Pancreas
03:07

Development and Validation of a Methodology for Establishing Obese Rat Models with Typical Fatty Pancreas

Published on: November 11, 2025

535
Skeletal Muscle Gender Dimorphism from Proteomics
09:29

Skeletal Muscle Gender Dimorphism from Proteomics

Published on: December 14, 2011

13.0K

Area of Science:

  • Public Health
  • Epidemiology
  • Health Disparities

Background:

  • Obesity prevalence differs by gender and race.
  • Previous research indicated a larger gender gap in obesity among Black populations compared to White populations.
  • Socioeconomic and environmental factors may influence these disparities.

Purpose of the Study:

  • To investigate if the gender gap in obesity prevalence is greater among U.S. Black adults than White adults.
  • To account for racial differences in socioeconomic and environmental conditions when examining the obesity gender gap.

Main Methods:

  • Age-adjusted, race-stratified gender gaps in obesity (body mass index ≥30 kg/m²) were estimated.
  • Data were analyzed from the National Health Interview Survey (2003) and the Exploring Health Disparities in Integrated Communities-Southwest Baltimore (EHDIC-SWB) study (2003).
  • The EHDIC-SWB study involved 1381 adults in urban, low-income, racially integrated census tracts with no income differences by race.

Main Results:

  • In the National Health Interview Survey, the obesity gender gap was 7.7 percentage points (ppts) larger in Black adults versus -1.5 ppts in White adults.
  • In the EHDIC-SWB study, the obesity gender gap was similar for Black (15.3 ppts) and White adults (14.0 ppts).

Conclusions:

  • In a racially integrated, low-income urban community, gender gaps in obesity prevalence were similar for Black and White adults.
  • Controlling for socioeconomic and environmental factors may explain the previously observed differences in the obesity gender gap between racial groups.