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

1.4K
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...
1.4K
Socioemotional Experience and Gender Development01:30

Socioemotional Experience and Gender Development

340
Social-emotional experiences and cultural influences play significant roles in shaping gender development. During middle childhood, from ages 6 to 11, peer groups become dominant in reinforcing gender norms. Children in this age group often align with same-gender peer groups, which actively encourage behaviors that conform to traditional gender roles. For instance, boys may be discouraged from engaging in activities perceived as feminine, reinforcing culturally dictated norms about masculinity...
340
Electric Potential and Potential Difference01:16

Electric Potential and Potential Difference

5.8K
Suppose a positive test charge moves away from a positive static charge, then the Coulomb force does positive work, and its electric potential energy decreases. The potential energy per unit charge is defined as the electric potential. The electric potential is independent of the test charge.
When a test charge moves from the initial to the final position, the electric potential difference between those positions is defined as the ratio of the change in the potential energy to the charge on the...
5.8K
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

8.5K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
8.5K
Identifying Statistically Significant Differences: The F-Test01:14

Identifying Statistically Significant Differences: The F-Test

3.9K
The F-test is used to compare two sample variances to each other or compare the sample variance to the population variance. It is used to decide whether an indeterminate error can explain the difference in their values. The underlying assumptions that allow the use of the F-test include the data set or sets are normally distributed, and the data sets are independent of each other. The test statistic F is calculated by dividing one variance by another. In other words, the square of one standard...
3.9K
Sum and Difference OpAmps01:22

Sum and Difference OpAmps

1.4K
Operational amplifiers (op-amps) are versatile devices that extend beyond amplification. In this context, two specific op-amp configurations are explored: the summing and difference amplifiers.
A summing amplifier, or an adder, utilizes an op-amp to merge multiple input signals into a single output signal. When audio signals are introduced into its input channels, the input resistors initiate currents that traverse feedback resistors, resulting in an output voltage. Applying Kirchhoff's current...
1.4K

You might also read

Related Articles

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

Sort by
Same author

The Effect of Discrimination on Stress among Public Housing Residents: A Comparative Study between Social-Mix and Independent Public Housing Complexes.

International journal of environmental research and public health·2020
Same author

The Role of Built Environment on Health of Older Adults in Korea: Obesity and Gender Differences.

International journal of environmental research and public health·2019
Same author

The Effect of Cross-Level Interaction between Community Factors and Social Capital among Individuals on Physical Activity: Considering Gender Difference.

International journal of environmental research and public health·2019
Same author

The prognostic importance of the number of metastases in pulmonary metastasectomy of colorectal cancer.

World journal of surgical oncology·2015

Related Experiment Video

Updated: Feb 14, 2026

Skeletal Muscle Gender Dimorphism from Proteomics
09:29

Skeletal Muscle Gender Dimorphism from Proteomics

Published on: December 14, 2011

13.0K

Gender Difference and Spatial Heterogeneity in Local Obesity.

Hee-Jung Jun1, Mi Namgung2

  • 1Department of Public Administration and Graduate School of Governance, Sungkyunkwan University, Seoul 03063, Korea. hjun@skku.edu.

International Journal of Environmental Research and Public Health
|February 15, 2018
PubMed
Summary

Local obesity rates show significant gender differences in spatial patterns. Environmental factors impact women's obesity more strongly and vary more across locations than men's, necessitating gender-specific public health strategies.

Keywords:
Koreagender differenceobesityspatial analysisspatial heterogeneity

More Related Videos

Establishment of Rat Models Mimicking Gender-affirming Hormone Therapies
06:24

Establishment of Rat Models Mimicking Gender-affirming Hormone Therapies

Published on: January 10, 2025

1.6K
Author Spotlight: Exploring Sex-Specific Glial Signatures and Therapeutic Leads for Alzheimer's Disease
04:22

Author Spotlight: Exploring Sex-Specific Glial Signatures and Therapeutic Leads for Alzheimer's Disease

Published on: May 20, 2024

1.5K

Related Experiment Videos

Last Updated: Feb 14, 2026

Skeletal Muscle Gender Dimorphism from Proteomics
09:29

Skeletal Muscle Gender Dimorphism from Proteomics

Published on: December 14, 2011

13.0K
Establishment of Rat Models Mimicking Gender-affirming Hormone Therapies
06:24

Establishment of Rat Models Mimicking Gender-affirming Hormone Therapies

Published on: January 10, 2025

1.6K
Author Spotlight: Exploring Sex-Specific Glial Signatures and Therapeutic Leads for Alzheimer's Disease
04:22

Author Spotlight: Exploring Sex-Specific Glial Signatures and Therapeutic Leads for Alzheimer's Disease

Published on: May 20, 2024

1.5K

Area of Science:

  • Public Health
  • Spatial Epidemiology
  • Environmental Health

Background:

  • Obesity is a complex public health issue with varying prevalence across populations.
  • Understanding spatial patterns and influencing factors is crucial for effective interventions.
  • Previous research has not fully explored gender-specific spatial heterogeneity in local obesity.

Purpose of the Study:

  • To investigate gender-specific spatial heterogeneity in local obesity rates.
  • To identify how environmental factors influence obesity differently between genders across space.

Main Methods:

  • Utilized data from the 2015 Korea Community Health Survey.
  • Employed spatial analysis techniques to examine obesity rates and environmental factor effects.
  • Compared spatial dependency and environmental factor influence on obesity for men and women.

Main Results:

  • Significant gender-specific spatial heterogeneity in local obesity rates was observed.
  • Obesity rates exhibited greater spatial dependence for women compared to men.
  • Environmental factors demonstrated stronger and more spatially varying effects on women's obesity rates.

Conclusions:

  • Obesity prevention policies should acknowledge and address gender-specific spatial heterogeneity.
  • Current approaches assuming spatial homogeneity and gender indifference may be ineffective.
  • Tailored, geographically informed, and gender-sensitive strategies are recommended for obesity control.