Evidence map›Paper›PMID 41555946›Full record

ReviewWorld journal of psychiatry2026

Exploring artificial intelligence literacy's role in healthy behaviors and mental health.

Jaewon Lee, Jennifer Allen, Gyuhyun Choi

Abstract readReview
In one paragraph

Review in World journal of psychiatry, 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. 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

3 authors.

Jaewon LeeDepartment of Social Welfare, Inha University, Incheon 22212, South Korea. j343@inha.ac.kr.
Jennifer AllenSchool of Social Work, Michigan State University, East Lansing, MI 48824, United States.
Gyuhyun ChoiIntegrative Arts Therapy, Dongduk Women's University, Seoul 02748, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthy behavior has long been linked to mental health outcomes. However, the role of artificial intelligence (AI) literacy in shaping healthy behaviors and its potential impact on mental health remains underexplored. This paper presents a scoping review offering a novel perspective on the intersection of healthy behaviors, mental health, and AI literacy. By examining how individuals' understanding of AI influences their choices regarding nutrition and their susceptibility to mental health issues, the current study explores emerging trends in health behavior decision-making. This emphasizes the need for integrating AI literacy into mental health and health behaviors education, as well as the development of AI-driven tools to support healthier behavior choices. It highlights that individuals with low AI literacy may misinterpret or overly depend on AI guidance, resulting in maladaptive health choices, while those with high AI literacy may be more likely to engage reflectively and sustain positive behaviors. The paper outlines the importance of inclusive education, user-centered design, and community-based support systems to enhance AI literacy for digitally marginalized groups. AI literacy may be positioned as a key determinant of health equity, better allowing for interdisciplinary strategies that empower individuals to make informed, autonomous decisions that promote both physical and mental health.

Indexed as

Artificial intelligence literacyDigital health educationHealthy behaviorMental healthTechnology acceptance

Identifiers

PMID41555946
PMCPMC12809239

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.