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

Community Based Intervention01:30

Community Based Intervention

615
Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
615
Assessment of the Gastrointestinal System II: Health Perception Pattern01:29

Assessment of the Gastrointestinal System II: Health Perception Pattern

630
Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
630
Obesity01:24

Obesity

1.5K
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...
1.5K
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

2.1K
The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results...
2.1K
Nursing Evaluation01:15

Nursing Evaluation

4.1K
The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
4.1K
Levels of Health Promotion and Illness Prevention01:26

Levels of Health Promotion and Illness Prevention

12.5K
Health promotion allows a person to control the determinants of health, resulting in an improved health status. It enhances the quality of life and reduces premature deaths. Health promotion and illness prevention programs help people make beneficial choices to reduce the risk of disease and disabilities. There are three health promotion and illness prevention levels: primary, secondary, and tertiary prevention.
In primary prevention, actions taken before disease onset prevent the disease from...
12.5K

You might also read

Related Articles

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

Sort by
Same author

Resilience as an indirect pathway linking depressive symptoms and quality of life among family caregivers of hospitalized lung cancer patients in Northern Vietnam.

Tropical medicine and health·2026
Same author

On the Label: Implementation of Health Warnings on Alcohol Products in 13 European Countries.

Drug and alcohol review·2026
Same author

Integrated food policy and child obesity.

Lancet (London, England)·2026
Same author

A Typology of Strategies Women Use to Navigate Alcohol Abstinence During Pregnancy.

Maternal and child health journal·2026
Same author

'It's a healthy choice': a qualitative study of Australian consumers' awareness and interpretation of nutrition-related claims on alcohol products.

Public health nutrition·2026
Same author

Correction: Davies et al. An Innovative Machine Learning Approach to Predict the Dietary Fiber Content of Packaged Foods. <i>Nutrients</i> 2021, <i>13</i>, 3195.

Nutrients·2026

Related Experiment Video

Updated: Apr 26, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

26.7K

Process evaluation outcomes from a global child obesity prevention intervention.

Simone Pettigrew1, Jean Michel Borys, Hugues Ruault du Plessis

  • 1School of Psychology and Speech Pathology, CurtinUniversity, Kent St, Bentley, WA 6102, Australia. simone.pettigrew@curtin.edu.au.

BMC Public Health
|July 29, 2014
PubMed
Summary

Securing funding and accessing evidence-based methods are key challenges for child obesity prevention programs. Improving information access and stakeholder relationships can enhance program success and guide future multi-level health initiatives.

More Related Videos

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
07:40

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design

Published on: May 31, 2021

3.2K
Multidisciplinary Approach to Obesity Management: A Case Report
05:10

Multidisciplinary Approach to Obesity Management: A Case Report

Published on: May 30, 2025

1.5K

Related Experiment Videos

Last Updated: Apr 26, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

26.7K
Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
07:40

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design

Published on: May 31, 2021

3.2K
Multidisciplinary Approach to Obesity Management: A Case Report
05:10

Multidisciplinary Approach to Obesity Management: A Case Report

Published on: May 30, 2025

1.5K

Area of Science:

  • Public Health
  • Childhood Obesity Prevention
  • Health Intervention Evaluation

Background:

  • Child obesity interventions require multi-level strategies for effectiveness.
  • Limited evaluation data exists for guiding such multi-level interventions.
  • This study addresses this gap by evaluating the EPODE approach globally.

Purpose of the Study:

  • Investigate barriers and facilitators in implementing the EPODE approach worldwide.
  • Gather process evaluation data to inform strategy development.
  • Enhance the effectiveness of child obesity prevention programs.

Main Methods:

  • Online survey with open-ended questions distributed to 25 EPODE programs.
  • Eighteen programs from 14 countries participated (72% response rate).
  • Qualitative analysis using the constant comparative method with NVivo software.

Main Results:

  • Primary concerns include securing sustainable funding and accessing evidence-based intervention methods.
  • Challenges also involve obtaining policy advice and managing third-party relationships.
  • Factors influencing these concerns include information access, stakeholder engagement, and policy transparency.

Conclusions:

  • Findings inform the refinement of the EPODE approach with standardized information packages.
  • Guidance is provided on evaluation methods, tools, and acquiring private partner support.
  • Results are valuable for designing future multi-level health initiatives for complex problems.