Evidence map›Paper›PMID 40469595›Full record

ArticleFrontiers in public health2025

Understanding factors influencing the adoption of moxibustion techniques by the population: an extended study based on the UTAUT model.

Chengxin Fan, Zina Fan, Qiusha Li, Zixuan Zhao, Chunxiao Yang, Zhongming Chen, Wenqiang Yin

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. 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. 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

7 authors.

Chengxin FanSchool of Public Health, Shandong Second Medical University, Weifang, China.
Zina FanSchool of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Qiusha LiSchool of Law, Linyi University, Linyi, China.
Zixuan ZhaoSchool of Public Health, Shandong Second Medical University, Weifang, China.
Chunxiao YangSchool of Public Health, Shandong Second Medical University, Weifang, China.
Zhongming Chen"Health Shandong" Severe Social Risk Prevention and Management Synergy Innovation Center, Weifang, China.
Wenqiang Yin"Health Shandong" Severe Social Risk Prevention and Management Synergy Innovation Center, Weifang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Traditional Chinese medicine plays a unique role and has proven efficacy in preventing and treating common and chronic diseases. Moxibustion, as a type of traditional Chinese medicine healthcare therapy, has a broad mass, social, and cultural foundation in China. This study analyzes the pathways and influencing factors of residents' acceptance of moxibustion. Methods: Data were collected from 808 residents in 18 cities or districts using whole cluster stratified random sampling. Take the expanded Unified Theory of Acceptance and Use of Technology model scale as the research tool. Data were analyzed by SPSS 25.0 and AMOS 24.0, including descriptive statistics, one-way analysis of variance, structural equation model analysis, and multi-group model analysis. Results: Structural equation modeling showed that performance expectancy (β = 0.603, Conclusions: The study confirmed that the constructed resident moxibustion technology model can serve as a suitable framework for predicting the factors that influence residents' intention to use moxibustion and their behaviors. Increasing residents' performance expectations and effort expectations, creating a positive social environment, and reducing perceived risk are key factors in enhancing residents' behavior and willingness to use moxibustion.

Indexed as

MoxibustionPatient Acceptance of Health CareAdultAgedChinaFemaleHumansMaleMedicine, Chinese TraditionalMiddle AgedSurveys and QuestionnairesYoung Adulte-UTAUTmoxibustionmulti-group analysisperceive riskSEM

Identifiers

PMID40469595
PMCPMC12135879

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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.