Evidence map›Paper›PMID 42881346›Full record

ArticleWorld journal of pediatrics : WJP2026

Associations between parental generative artificial intelligence health-advice use and child vaccination uptake in Japan: an exploratory cross-sectional study.

Yousuke Imanishi, Maria Iorini, Sinchul Jwa, Masahiko Sakamoto, Ichiro Wada, Takahiro Tabuchi, Mai Uchida

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Article in World journal of pediatrics : WJP, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

7 authors.

Yousuke ImanishiDivision of General Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA. rasheed0421@gmail.com.ORCID http://orcid.org/0000-0001-9598-7626
Maria IoriniDepartment of Psychiatry, Harvard Medical School, Boston, MA, USA.
Sinchul JwaDepartment of Pediatrics, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan.
Masahiko SakamotoDepartment of Pediatrics, Saku Central Hospital Advanced Care Center, Nagano, Japan.
Ichiro WadaDepartment of Interdisciplinary Studies, Faculty of International Liberal Arts, Dokkyo University, Saitama, Japan.
Takahiro TabuchiDivision of Epidemiology, School of Public Health, Tohoku University Graduate School of Medicine, Miyagi, Japan.
Mai UchidaDepartment of Psychiatry, Harvard Medical School, Boston, MA, USA.

Funding

Intramural Fund of the National Institute for Environmental Studies JPMJSC21U6Intramural Fund of the National Institute for Environmental Studies; Innovative Research Program on Suicide Countermeasures R3-2-2Japan Society for the Promotion of Science 22K18566Japan Society for the Promotion of Science JP 21H04856Ministry of Health, Labour and Welfare 23GC1019Ready for COVID-19 Relief Fund 5th period 2nd term 001
6 · The paper itself

Abstract

backgroundParents increasingly use generative artificial intelligence (AI) for health information, but evidence on parental AI use and childhood vaccination is limited. We examined exploratory associations between regular parental AI health-advice use and childhood vaccination in Japan.

methodsThis cross-sectional study analyzed 2025 nationwide survey data from children aged 1 to 17 years and parents, with a linked 2023-2025 sub-analysis. The exposure was regular parental use of generative AI for health advice at least a few times per month. Outcomes were age-appropriate measles-rubella (MR) vaccination and any mumps, influenza, or coronavirus disease 2019 (COVID-19) vaccination. Modified Poisson regression estimated adjusted prevalence ratios (aPRs) and 95% confidence interval (95% CI) with parent-level clustering and covariates.

resultsAmong 8282 children and 5170 parents, 1278 (15.4%) had regular AI health-advice users as parents. AI use was not associated with age-appropriate MR vaccination (aPR 1.02; 95% CI 0.97-1.09), but was associated with three vaccines. The adjusted rates were 76.6 versus 72.7% (aPR 1.05, 95% CI 1.01-1.10) for mumps, 56.7% versus 49.0% (aPR 1.16, 95% CI 1.08-1.24) for influenza, 40.6% versus 30.9% (aPR 1.31, 95% CI 1.19-1.45) for COVID-19. The COVID-19 association was strongest among parents younger than 30 years (aPR 2.58; 95% CI 1.90-3.50; P for interaction < 0.001). In the linked sub-analysis, these associations persisted after adjustment for an available 2023 household-level prior vaccination marker and attitudes.

conclusionsRegular parental use of generative AI for health advice was associated with mumps, influenza, and COVID-19 vaccination, but not with age-appropriate MR vaccination. These exploratory, cross-sectional findings are observational associations. They may reflect digital health engagement, health information seeking, socioeconomic differences, or favorable attitudes, rather than vaccine-specific AI advice.

Indexed as

Child vaccinationGenerative artificial intelligenceHealth information seekingPrevention

Identifiers

PMID42881346

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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.