Evidence map›Paper›PMID 40726944›Full record

ArticleFrontiers in public health2025

Self-medication among university students in Guangdong province, China: a cross-sectional study using the KAP model.

Lu Tan, Yuting Chen, Meiling Gu, Jiangwei Zhu, Xiaoyan Tang, Wenying Chen, Huancun Feng

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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 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Lu TanDepartment of Pharmacy, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Yuting ChenDepartment of Pharmacy, Guangzhou Red Cross Hospital of Jinan University, Guangzhou, Guangdong Province, China.
Meiling GuPharmacy Center, Guangzhou Geriatric Hospital, Guangzhou, Guangdong Province, China.
Jiangwei ZhuDepartment of Pharmacy, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Xiaoyan TangDepartment of Pharmacy, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Wenying ChenDepartment of Pharmacy, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.
Huancun FengDepartment of Pharmacy, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Self-medication has emerged as a significant global public health concern. Despite possessing a certain level of medication knowledge, university students in China exhibit a high-risk profile regarding self-medication practices. This study aimed to systematically investigate the current status and influencing factors of self-medication among university students in Guangdong Province, China, thereby providing evidence-based recommendations for targeted intervention strategies. Methods: A cross-sectional study was conducted based on the Knowledge-Attitude-Practice (KAP) model. Data were collected via anonymous questionnaire surveys distributed to university students in Guangdong Province, China. A total of 816 valid responses were analyzed. The questionnaire assessed demographic characteristics along with dimensions of medication knowledge, attitudes, and practices. Multiple linear regression analyses were subsequently performed to evaluate the impact of demographic factors on each dimension of the KAP model. Results: Students demonstrated a relatively high overall qualification rate in medication knowledge (93.50%), with 43.38% achieving a "Good" level and 50.12% rated as "Fair." However, noticeable deficiencies were identified in attitudes and practices, with qualification rates approximately 75% in both dimensions. Notably, only 6.50% achieved a "Good" level in medication practices, while a substantial proportion (24.26%) was rated as "Unqualified." Regression analyses revealed that age, current academic stage, and study mode significantly influenced medication knowledge scores. No significant demographic factors were associated with medication attitudes. However, age and the primary source of medication information significantly impacted self-medication practices. These findings offer empirical evidence essential for developing targeted medication safety education interventions among university students. Conclusion: A clear discrepancy between knowledge and practice regarding self-medication exists among university students in Guangdong Province, China. Comprehensive intervention strategies are therefore, urgently required to promote rational medication behaviors within this population.

Indexed as

Health Knowledge, Attitudes, PracticeSelf MedicationStudentsAdolescentAdultChinaCross-Sectional StudiesFemaleHumansMaleSurveys and QuestionnairesUniversitiesYoung AdultGuangdong provinceKAP modelrational medication useself-medicationuniversity students

Identifiers

PMID40726944
PMCPMC12301323

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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.