Evidence map›Paper›PMID 41281934›Full record

ArticlePublic health challenges2025

The Knowledge-Attitude Paradox in Analgesic Self-Medication Among University Students in Ecuador: A Cross-Sectional Study and Predictive Modeling Analysis.

Sonia Argote, Doménica Bucheli, Ashel Páez, Camila Rovayo, Daniel Freire, Pablo Pila, José Daniel Sánchez

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Article in Public health challenges, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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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

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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
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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

7 authors.

Sonia ArgoteFacultad de Ciencias de la Salud Universidad Tecnológica Indoamérica Quito Ecuador.
Doménica BucheliFacultad de Ciencias de la Salud Universidad Tecnológica Indoamérica Quito Ecuador.
Ashel PáezFacultad de Ciencias de la Salud Universidad Tecnológica Indoamérica Quito Ecuador.
Camila RovayoFacultad de Ciencias de la Salud Universidad Tecnológica Indoamérica Quito Ecuador.
Daniel FreireFacultad de Ciencias de la Salud Universidad Tecnológica Indoamérica Quito Ecuador.
Pablo PilaFacultad de Ciencias de la Salud Universidad Tecnológica Indoamérica Quito Ecuador.
José Daniel SánchezFacultad de Ciencias de la Salud Universidad Tecnológica Indoamérica Quito Ecuador.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the prevalence and determinants of analgesic self-medication among university students in Ecuador, with a focus on the interplay between pharmacological knowledge and personal attitudes. Methods: A cross-sectional analytical study was conducted with 422 students at Universidad Tecnologica Indoamerica (April-August 2025), selected via stratified random sampling. A validated, structured questionnaire assessed knowledge, attitudes, and practices. Multivariable logistic regression and random forest algorithms were employed to identify key predictors and their relative importance. Results: The prevalence of analgesic self-medication was exceptionally high at 87.5%. Random forest analysis identified attitude as the primary predictor of this behavior (relative importance = 0.252), followed by academic year and pharmacological knowledge. A significant "knowledge-attitude paradox" was observed, wherein health sciences students, despite possessing superior pharmacological knowledge, exhibited the highest rates of self-medication. The predictive model demonstrated excellent discrimination (AUC = 0.81). Conclusion: The high prevalence of self-medication, a finding consistent with emerging international data, necessitates a fundamental paradigm shift in public health interventions. Educational strategies must evolve beyond simple information dissemination to incorporate behavioral science principles aimed at modifying attitudes and risk perceptions, particularly during the formative early years of university education.

Indexed as

analgesicsattitudesbehavioral interventionEcuadorknowledgepredictive modelingpublic healthself‐medicationuniversity students

Identifiers

PMID41281934
PMCPMC12631543

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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.