Evidence map›Paper›PMID 39457840›Full record

ArticleBehavioral sciences (Basel, Switzerland)2024

The Impact of Short-Form Video and Optimistic Bias on Engagement in Oral Health Prevention: Integrating a KAP Model.

Donghwa Chung, Jiaqi Wang, Yanfang Meng

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Donghwa ChungSchool of Journalism and Communication, Central China Normal University, Wuhan 430079, China.
Jiaqi WangSchool of Journalism and Communication, Central China Normal University, Wuhan 430079, China.ORCID 0009-0000-4708-7412
Yanfang MengSchool of Journalism and Communication, Beijing Institute of Graphic Communication, Beijing 102699, China.

Funding

Chongqing Jiaotong University Internationalization Feature Project, Second Phase Research Topic 2023ESC18Sichuan Provincial Key Research Base for Social Sciences Regional Culture Research Center QYYJC2405
6 · The paper itself

Abstract

College students are recognized as a demographic particularly susceptible to higher oral health risks due to irregular and unhealthy habits. While previous research has underscored these risks through descriptive studies within this group, a significant gap persists in the literature regarding the impact of contemporary media, specifically oral-health-related content, on the engagement in oral health prevention among Chinese college students. To address this gap, this study, guided by the extended knowledge-attitude-practice (KAP) theory model, explores the direct, mediated, and serially mediated mechanisms through which exposure to oral health short-form videos on Douyin influences their participation in oral health prevention. An empirical cross-sectional online survey was conducted, with valid data (N = 421) analyzed using descriptive statistics and hierarchical regression. Mediation and serial mediation analyses were also performed using SPSS version 25.0. The analysis revealed that exposure to oral health short-form videos had a positive direct effect on both oral health knowledge and the reduction of optimistic bias among Chinese college students. Furthermore, a significant serial mediation effect of oral health knowledge and oral health attitude was identified. The findings underscore the substantial applicability and explanatory power of the extended KAP theory model in understanding engagement in oral health prevention.

Indexed as

college studentsDouyinKAP theory modeloptimistic biasoral health preventionshort-form video exposuresurvey

Identifiers

PMID39457840
PMCPMC11504853

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Registered trials

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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.