{"title":"Predicting University Students' Stress Responses: The Role of Academic Stressors and Sociodemographic Variables.","authors":"Cristina Ruiz-Camacho, Margarita Gozalo","doi":"10.3390/ejihpe15080163","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background/Objectives:</b> Academic stress arises when students perceive that university demands exceed their coping resources, leading to cognitive, behavioral, and physiological stress responses. This study examines the predictive role of academic stressors and sociodemographic variables across five dimensions of stress response. <b>Methods:</b> The sample comprised 1014 Spanish university students (64.5% women, 35.5% men; <i>M</i> = 20.56, <i>SD</i> = 3.50). Participants completed the Academic Stressors Scale (E-CEA) and the Stress Responses Scale (R-CEA). Hierarchical regression analyses were conducted in two blocks: sociodemographic variables were entered in the first block, followed by academic stressors in the second. <b>Results:</b> Academic stressors accounted for substantial variance in all five stress response dimensions: negative thoughts (47.8%), physical exhaustion (39.5%), physical agitation (32.9%), irritability (29.7%), and sleep disturbances (26.8%). The most recurrent predictors were beliefs about performance, exams, and academic overload. In contrast, sociodemographic variables explained a much smaller portion of the variance (5.9%) and were specifically linked to higher irritability among women and younger students, more negative thoughts among students in Arts and Humanities, and fewer physical symptoms and sleep disturbances in students from science and technical fields. <b>Conclusions:</b> The findings reveal that academic stressors are key contributors to psychological distress among university students, highlighting the need for institutional interventions to alleviate the most frequent stressors. Identifying student groups particularly vulnerable to academic stress further supports the implementation of tailored strategies that address the diversity of students' profiles and needs.</p>","PeriodicalId":30631,"journal":{"name":"European Journal of Investigation in Health Psychology and Education","volume":"15 8","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2025-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12385662/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Investigation in Health Psychology and Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/ejihpe15080163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Background/Objectives: Academic stress arises when students perceive that university demands exceed their coping resources, leading to cognitive, behavioral, and physiological stress responses. This study examines the predictive role of academic stressors and sociodemographic variables across five dimensions of stress response. Methods: The sample comprised 1014 Spanish university students (64.5% women, 35.5% men; M = 20.56, SD = 3.50). Participants completed the Academic Stressors Scale (E-CEA) and the Stress Responses Scale (R-CEA). Hierarchical regression analyses were conducted in two blocks: sociodemographic variables were entered in the first block, followed by academic stressors in the second. Results: Academic stressors accounted for substantial variance in all five stress response dimensions: negative thoughts (47.8%), physical exhaustion (39.5%), physical agitation (32.9%), irritability (29.7%), and sleep disturbances (26.8%). The most recurrent predictors were beliefs about performance, exams, and academic overload. In contrast, sociodemographic variables explained a much smaller portion of the variance (5.9%) and were specifically linked to higher irritability among women and younger students, more negative thoughts among students in Arts and Humanities, and fewer physical symptoms and sleep disturbances in students from science and technical fields. Conclusions: The findings reveal that academic stressors are key contributors to psychological distress among university students, highlighting the need for institutional interventions to alleviate the most frequent stressors. Identifying student groups particularly vulnerable to academic stress further supports the implementation of tailored strategies that address the diversity of students' profiles and needs.