Evidence map›Paper›PMID 41029292›Full record

ArticleBMC public health2025

Patients' knowledge, attitude, and practice regarding alopecia: a cross-sectional study in Hebei, China.

Huizheng Li, Wenhui Yang, Xingjian Cheng, Wen Zhang, Liu Liu, Lei Yang

Abstract read
In one paragraph

Article in BMC public health, 2025. 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
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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Huizheng Li *Department of Burn and Plastic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050000, China.
Wenhui Yang *Department of Burn and Plastic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050000, China.
Xingjian ChengDepartment of Burn and Plastic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050000, China.
Wen ZhangDepartment of Burn and Plastic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050000, China.
Liu LiuDepartment of Plastic and Reconstructive Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, China. 37700449@hebmu.edu.cn.
Lei YangDepartment of Burn and Plastic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050000, China. 37900674@hebmu.edu.cn.

Funding

Medical Science Research Project of the Health Commission of Hebei Province 20221187
6 · The paper itself

Abstract

backgroundMore comprehensive knowledge about alopecia may translate into better patient management. This study aimed to investigate the knowledge, attitude, and practice (KAP) toward alopecia among patients with alopecia.

methodsThis cross-sectional study was conducted among patients with alopecia at Hebei Medical University Third Hospital between December 2023 and January 2024, using a researcher-developed questionnaire. Stress was analyzed using the perceived stress scale (PSS). Participants were recruited through convenience sampling. Structural equation modeling (SEM) was employed to test the hypothesized pathways between demographic/clinical factors and KAP variables.

resultsA total of 615 participants initially completed the questionnaire, and 545 valid responses were retained, yielding an effective response rate of 88.62%. The mean PSS and KAP scores were 42.48 ± 5.31 (possible scores of 14-70; 60.69%), 11.29 ± 6.42 (possible scores of 0-28; 40.32%), 32.51 ± 3.82 (possible scores of 10-50; 65.02%), and 26.44 ± 6.07 (possible scores of 10-50; 72.88%), respectively. The SEM showed that knowledge was influenced by hair loss after COVID-19 (β=-0.023, P = 0.007), age (β=-0.068, P < 0.001), and taking medication that caused hair loss (β=-0.218, P < 0.001). Attitude was influenced by knowledge (β = 0.890, P < 0.001). The practice was influenced by knowledge (β = 0.661, P < 0.001), attitude (β = 0.638, P < 0.001), with a history of COVID-19 (β = 0.209, P = 0.039), polycystic ovary syndrome (β=-0.030, P = 0.013), and years of alopecia (β=-0.098, P < 0.001).

conclusionPatients with alopecia have poor knowledge, negative attitudes, and proactive practices toward alopecia, which was influenced by their age, COVID-19 infection, changes in hair loss after COVID-19, medications that cause hair loss, polycystic ovary syndrome, and years of alopecia. In addition, since knowledge influences attitude and practice, improving knowledge through educational activities should also improve practice, possibly translating into more benefits for patients. RUNNING TITLE: Patients' KAP toward alopecia.

Indexed as

AlopeciaHealth Knowledge, Attitudes, PracticeAdultChinaCOVID-19Cross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultAlopeciaCross-sectional studyKnowledge, attitude, practiceStress

Identifiers

PMID41029292
PMCPMC12487034

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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.