Evidence map›Paper›PMID 35858885›Full record

ArticleBMC public health2022

Modeling the theory of planned behavior to predict adults' intentions to improve oral health behaviors.

Mona Talal Rajeh

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 3% of its field
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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

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  4. Social Marketing for Health Equity: Promoting Preventive Health Behavior Among Women in Rural Communities.International journal of environmental research and public health · 2026
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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

1 author at 1 institution in 1 country.

Mona Talal RajehDepartment of Dental Public Health, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia. mtrajeh@kau.edu.sa.
King Abdulaziz University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe present study aimed to apply the theory of planned behavior (TPB) to identify predictors of adults' intentions to improve oral health behaviors.

methodsThis cross-sectional study was conducted with 1,328 adults living in the Jeddah city, Saudi Arabia. A 64-item questionnaire that evaluated behavioral intention, oral health knowledge (OHK) and TPB constructs (attitudes, perceived behavioral control, and subjective norms) was distributed. Descriptive statistics and structural equation modeling (SEM) were used to describe the data and examine the associations among the variables. A p-value of < 0.05 was considered significant.

resultsThe analysis revealed that the TPB model explained 72% of the variance in oral health behavioral intentions (OHBI), indicating a good model fit. The TPB constructs of attitudes (β = 0.299), subjective norms (β = 0.035), and perceived behavioral control (β = 0.144) were significant predictors of OHBI, whereas OHK was not. Attitude was the strongest predictor of intentions to improve oral health behaviors.

conclusionsThe findings suggest that this model could be a helpful framework for designing oral health promotion and intervention programs. Such programs should focus on changing adults' attitudes, positive influences from close relationships, and improving self-efficacy of OHB to improve their oral health behavior.

Indexed as

Health Knowledge, Attitudes, PracticeIntentionAdultCross-Sectional StudiesHealth BehaviorHumansPsychological TheorySurveys and QuestionnairesAdultsIntentionOral healthTheory of planned behavior

Identifiers

PMID35858885
PMCPMC9297589
OpenAlexW4286209194

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.