Evidence map›Paper›PMID 41612839›Full record

ArticleChild health nursing research2026

Parental and child perspectives on healthy lifestyles and artificial intelligence chatbot use among childhood and adolescent cancer survivors: a descriptive comparative study in South Korea.

Kyung-Ah Kang, Shin-Jeong Kim, In-Hye Song, Hee-Jin Yoon

Abstract read
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Article in Child health nursing research, 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
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

4 authors.

Kyung-Ah KangProfessor, College of Nursing, Sahmyook University, Seoul, Korea.
Shin-Jeong KimProfessor, Research Institute of Nursing Science, School of Nursing, Hallym University, Chuncheon, Korea.
In-Hye SongResearcher, College of Nursing, Sahmyook University, Seoul, Korea.
Hee-Jin YoonUndergraduate Student, College of Nursing, Sahmyook University, Seoul, Korea.

Funding

National Research Foundation of Korea RS-2025-00523681
6 · The paper itself

Abstract

purposeThis study compared healthy lifestyle (HLS) practices and awareness regarding the use of chatbots (A-uC) for health management between childhood and adolescent cancer survivors (CACSs) and their parents, with the aim of assessing the feasibility of tailored artificial intelligence (AI) chatbot-based interventions for holistic survivorship care.

methodsA descriptive comparative design was employed involving 80 CACSs and 80 parents (N=160) recruited through the Korean Pediatric Cancer Foundation. HLS practices were assessed using a validated seven-domain instrument encompassing physical activity, nutrition, interpersonal relations, stress management, positive life perspective, health responsibility, and spiritual health. A-uC was evaluated using an extended technology acceptance model-based tool. Responses to the open-ended question addressing unmet HLS practices were analyzed using latent Dirichlet allocation topic modeling.

resultsNo significant differences were observed between CACSs and parents in overall HLS (CACSs: 3.16±0.80; parents: 3.18±0.36, p=.74). While perceptions across most A-uC domains did not differ significantly, parents demonstrated a significantly higher "intention to use" chatbots for health management than CACSs (p=.03). The mean A-uC scores exceeded 4 (out of 5) in both groups, reflecting positive perceptions of chatbot-based HLS support. Topic modeling identified "exercise," "healthy diet," and "regular lifestyle" as common unmet areas.

conclusionCACSs and their parents share largely concordant views on HLS and A-uC, with a strong interest in chatbot interventions. These findings underscore the potential of tailored AI chatbot programs to address unmet lifestyle needs and promote holistic survivorship care.

Indexed as

AdolescentArtificial intelligenceCancer survivorsChildhoodHealth

Identifiers

PMID41612839
PMCPMC12933495

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LicenceCC BY-NC-ND
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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.