Evidence map›Paper›PMID 35270491›Full record

ArticleInternational journal of environmental research and public health2022

Knowledge, Attitude, and Practice (KAP) toward COVID-19 Pandemic among the Public in Taiwan: A Cross-Sectional Study.

Yi-Fang Luo, Liang-Ching Chen, Shu-Ching Yang, Shinhye Hong

Registry-linked trialAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05864339 (Efficacy of a Designed Empathy Course During Smoking Cessation Counseling Training for Nursing Students), which is not on this map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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.

NCT05864339 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Efficacy of a Designed Empathy Course During Smoking Cessation Counseling Training for Nursing Students: A Randomized Controlled Trial

TypeinterventionalSponsorThe University of Hong KongRan2023 to 2023Enrolled60ConditionsSmoking Cessation, Nursing EducationArmsA designed empathy intervention, Smoking cessation counseling tutorial
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Oral nutritional supplement compliance among hospitalized cancer patients: a cross-sectional study based on the KAP model.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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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

4 authors.

Yi-Fang LuoCenter for Teaching and Learning Development, National Kaohsiung University of Science and Technology, Kaohsiung 805301, Taiwan.
Liang-Ching ChenIntelligent Electronic Commerce Research Center, Institute of Education, National Sun Yat-sen University, Kaohsiung 80424, Taiwan.ORCID 0000-0002-7896-1990
Shu-Ching YangIntelligent Electronic Commerce Research Center, Institute of Education, National Sun Yat-sen University, Kaohsiung 80424, Taiwan.ORCID 0000-0003-4105-1747
Shinhye HongIntelligent Electronic Commerce Research Center, Institute of Education, National Sun Yat-sen University, Kaohsiung 80424, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Knowledge, attitude, and practice (KAP) models are often used by researchers in the field of public health to explore people’s healthy behaviors. Therefore, this study mainly explored the relationships among participants’ sociodemographic status, COVID-19 knowledge, affective attitudes, and preventive behaviors. Method: This study adopted an online survey, involving a total of 136 males and 204 females, and used a cross-sectional study to investigate the relationships between variables including gender, age, COVID-19 knowledge, positive affective attitudes (emotional wellbeing, psychological wellbeing, and social wellbeing), negative affective attitudes (negative self-perception and negative perceptions of life), and preventive behaviors (hygiene habits, reducing public activities, and helping others to prevent the epidemic). Results: The majority of participants in the study were knowledgeable about COVID-19. The mean COVID-19 knowledge score was 12.86 (SD = 1.34, range: 7−15 with a full score of 15), indicating a high level of knowledge. However, the key to decide whether participants adopt COVID-19 preventive behaviors was mainly their affective attitudes, especially positive affective attitudes (β = 0.18−0.25, p< 0.01), rather than COVID-19 disease knowledge (β = −0.01−0.08, p > 0.05). In addition, the sociodemographic status of the participants revealed obvious differences in the preventive behaviors; females had better preventive behaviors than males such as cooperating with the epidemic prevention hygiene habits (t = −5.08, p< 0.01), reducing public activities (t = −3.00, p< 0.01), and helping others to prevent the epidemic (t = −1.97, p< 0.05), while the older participants were more inclined to adopt preventive behaviors including epidemic prevention hygiene habits (β = 0.18, p = 0.001, R2 = 0.03), reducing public activities (β = 0.35, p< 0.001, R2 = 0.13), and helping others to prevent the epidemic (β = 0.27, p< 0.001, R2 = 0.07). Conclusions: Having adequate COVID-19 knowledge was not linked to higher involvement in precautionary behaviors. Attitudes toward COVID-19 may play a more critical function in prompting individuals to undertake preventive behaviors, and different positive affective attitudes had different predictive relationships with preventive behaviors.

Indexed as

COVID-19Cross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansMalePandemicsSARS-CoV-2Taiwanaffective attitudeCOVID-19 knowledgeknowledge, attitude, and practice (KAP)preventive behavior

Identifiers

PMID35270491
PMCPMC8910606

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Registered trials

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.