Research Article | Open Access | Download PDF
Volume 74 | Issue 4 | Year 2026 | Article Id. IJETT-V74I4P118 | DOI : https://doi.org/10.14445/22315381/IJETT-V74I4P118Impact of Procrastination on Academic Performance of University Students in Lima, Peru: A Multiple Logistic Regression Study
Mayra Rojas-Villarreal, Mariana Zela-Garcia, Ana Huamani-Huaracca, Gina León-Untiveros, Sebastián Ramos-Cosi, Alicia Alva-Mantari
| Received | Revised | Accepted | Published |
|---|---|---|---|
| 21 Aug 2025 | 21 Jan 2026 | 19 Feb 2026 | 29 Apr 2026 |
Citation :
Mayra Rojas-Villarreal, Mariana Zela-Garcia, Ana Huamani-Huaracca, Gina León-Untiveros, Sebastián Ramos-Cosi, Alicia Alva-Mantari, "Impact of Procrastination on Academic Performance of University Students in Lima, Peru: A Multiple Logistic Regression Study," International Journal of Engineering Trends and Technology (IJETT), vol. 74, no. 4, pp. 235-245, 2026. Crossref, https://doi.org/10.14445/22315381/IJETT-V74I4P118
Abstract
Academic procrastination is highly prevalent among university students, affecting up to 60% of them worldwide; however, Peruvian evidence quantifying its adjusted association with academic performance remains limited. This study aimed to determine the impact of procrastination on the academic performance of university students in Lima, Peru, using multiple logistic regression analysis. Following a quantitative, non-experimental, correlational, and cross-sectional approach, the Academic Procrastination Scale (EPA) and the University Academic Performance Scale (RAU) were administered to 174 first- and final-year students from four different undergraduate programs. Procrastination and academic performance were significantly related (p=0.000). The model showed acceptable discrimination (AUC=0.7336). Major was associated with procrastination (p=0.020), and accounting students exhibited a higher likelihood of procrastination than their peers in other programs (OR=2.995; p=0.030). Taken together, these findings indicate that greater procrastination is associated with lower academic performance among university students, and suggest prioritizing specific interventions tailored to the sociodemographic context to reduce procrastination and support academic development.
Keywords
Academic performance, University students, Multiple logistic regression, Procrastination.
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