Evidence map›Paper›PMID 41332262›Full record

ArticleChild and adolescent mental health2026

How do Artificial Intelligence chatbots respond to questions from adolescent personas about their eating, body weight or appearance?

Florence Sheen, Bethany Mullarkey, Gemma L Witcomb, Marie-Christine Opitz, Ellen Maloney, Saffron M Baldoza, Hannah J White

Abstract read
In one paragraph

Article in Child and adolescent mental health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Editorial: Technology is in our ecology.Child and adolescent mental health · 2026
    Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Florence SheenSchool of Psychology and Vision Sciences, College of Life Sciences, University of Leicester, Leicester, UK.ORCID https://orcid.org/0000-0001-6256-4395
Bethany MullarkeySchool of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, UK.ORCID https://orcid.org/0009-0003-3448-0452
Gemma L WitcombSchool of Sports, Exercise and Health Sciences, Loughborough University, Loughborough, UK.
Marie-Christine OpitzSchool of Health in Social Science, Clinical Psychology, University of Edinburgh, Edinburgh, UK.
Ellen MaloneyPublic Contributor.
Saffron M BaldozaPublic Contributor.
Hannah J WhiteSchool of Sports, Exercise and Health Sciences, Loughborough University, Loughborough, UK.

Funding

Loughborough University
6 · The paper itself

Abstract

backgroundBody image and eating behaviours are common areas of concern for early adolescents. Artificial Intelligence (AI) interactions are becoming commonplace, including with chatbots that provide human-like communication. Adolescents may prefer using chatbots to anonymously ask sensitive questions, rather than approaching trusted adults or peers. It is unclear how chatbots answer such questions. We explored how chatbots would respond to eating, weight or appearance-related queries from adolescents.

methodTen fictitious adolescent personas and scripts were created to facilitate conversations with ChatGPT and Claude.AI. Personas asked questions about eating, body weight and/or appearance, presenting as 'curious', 'worried' or 'having a potential eating disorder'. Conversation outputs were analysed using reflexive thematic analysis to explore the content of chatbot responses.

resultsFive themes were identified: (1) Live a 'healthy' adolescent lifestyle; (2) Eat 'healthily'; (3) Promoting regular physical activity; (4) Seek support; (5) Focus on you. Advice was often framed within societal ideals relating to eating, body weight and/or appearance. Chatbots signposted to trusted adults and healthcare professionals for support, but not to regulated resources (e.g., NHS).

conclusionFramings around eating, weight and/or appearance may be problematic for adolescents with eating disorder symptomatology. A lack of prompting for further information or signposting to regulated support means vulnerable adolescents may receive unhelpful information or not reach adequate support. Understanding how AI could be supportive and/or unhelpful to adolescent users presenting with eating, body or appearance-related concerns is important. Findings can inform policy regulating AI chatbots' communications with adolescents.

Indexed as

Adolescent BehaviorArtificial IntelligenceBody ImageBody WeightCommunicationFeeding BehaviorAdolescentFemaleHumansMaleArtificial intelligencebody imagedisordered eatinghelp‐seekingweight concerns

Identifiers

PMID41332262
PMCPMC13474286

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.