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Updated: Jan 12, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Investigating differential effects of interventions to prevent obesity in children and young people: a novel analytic
Francesca Spiga1, Annabel L Davies1, Jennifer C Palmer1
1Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Insights
A new framework helps identify key features of childhood obesity prevention programs. This analysis of 255 interventions in children aged 5-18 years reveals factors influencing program effectiveness.
Area of Science:
- Public Health
- Childhood Obesity Prevention
- Intervention Science
Background:
- Systematic reviews show modest benefits from interventions targeting diet and activity in children (5-18 years).
- Intervention effectiveness varies, potentially due to characteristics like enjoyment or behavior change mechanisms.
- A need exists for a framework to analyze these differential effects.
Purpose of the Study:
- To develop a novel analytic framework for identifying key characteristics of childhood obesity prevention interventions.
- To involve stakeholders, including children, parents, and teachers, in framework development.
- To present the finalized framework and results of coding interventions.
Main Methods:
- Literature review to identify potential intervention characteristics.
- Development of a logic model and a comprehensive list of characteristics.
- Workshops with children, parents, teachers, and public health professionals to refine characteristics into a coding scheme.
- Coding of 255 interventions from 210 randomized trials using the finalized framework.
Main Results:
- The finalized analytic framework includes 12 characteristics and 25 questions.
- Characteristics cover setting, delivery mode, target (diet/activity), complexity, intensity, flexibility, choice, mechanism of action, resonance, commercial involvement, and 'fun factor'.
- 255 interventions were coded, providing data for analysis.
Conclusions:
- An evidence-based analytic framework, refined through stakeholder consultation (including children), was developed and applied to 255 childhood obesity prevention interventions.
- Rigorous methods and child involvement enhance the validity of the framework and coding results.
- The framework facilitates understanding of factors influencing intervention effectiveness in preventing childhood obesity.
Background:
Recent systematic reviews and meta-analyses on the effects of interventions to prevent obesity in children aged 5-18 years identified over 200 randomised trials. Interventions targeting diet, activity (including physical activity and sedentary behaviours) and both diet and activity appear to have small but beneficial effects on average. However, these effects varied between studies and might be explained by variation in characteristics of the interventions, for example, by the extent to which the children enjoyed the intervention or whether they aim to modify behaviour through education or physical changes to the environment. Here we develop a novel analytic framework to identify key intervention characteristics considered likely to explain differential effects.
Objectives:
To describe the development of the analytic framework, including the involvement of school-aged children, parents, teachers and other stakeholders, and to present the content of the finalised analytic framework and the results of the coding of the interventions.
Design And Methods:
We first conducted a literature review to find out from the existing literature what different types of characteristics of interventions we should be thinking about and why. This information helped us to develop a comprehensive map (called a logic model) of these characteristics. We then used this logic model to develop a list of possible intervention characteristics. We held a series of workshops with children, parents, teachers and public health professionals to refine the list into a coding scheme. We then used this to code the characteristics of each intervention in all the trials which aimed to prevent obesity in children aged 5-18 years.
Findings:
Our finalised analytic framework included 25 questions across 12 characteristics. These addressed aspects such as the setting of the intervention (e.g. at school, at home or in the community), mode of delivery (e.g. to individuals or to groups of children), whether the intervention targeted diet and/or activity, complexity (e.g. focused on a single swap of juice for water or aimed to change all aspects of the diet), intensity, flexibility, choice, mechanism of action (e.g. through participation, education, change in the social environment, change in the physical environment), resonance (e.g. credibility of the person delivering the intervention), commercial involvement and the 'fun factor' (as perceived by children). We coded 255 interventions from 210 randomised trials.
Conclusions:
Our evidence-based analytic framework, refined by consulting with stakeholders, allowed us to code 255 interventions aiming to prevent obesity in children aged 5-18 years. Our confidence in the validity of the framework and coding results is increased by our rigorous methods and, especially, the involvement of children at multiple stages.
Future Work:
Future work will include the development of statistical methods for the synthesis and its application to the data coded according to the analytic framework.
Limitations:
The coding results depend on the level of detail provided to describe the interventions, and the applicability of the analytic framework may be limited by demographic profile of the children and young people involved in the project.
Funding:
This article presents independent research funded by the National Institute for Health and Care Research (NIHR) Public Health Research programme as award number NIHR131572.
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