Notes on Academic Stress and Study Habits in Peruvian University Students

Overview

The study investigates the relationship between academic stress and study habits among Peruvian university students (n = 99) at the Catholic University of Santa María in Arequipa. It uses a quantitative, non-experimental, correlational design with two Likert-scale instruments: the SISCO Inventory of Academic Stress (29 items) and the Study Habits Inventory CASM-85 (53 items). A key finding is a strong inverse relationship between academic stress and study habits, with substantial explained variance reported as r^2 ≈ 0.706. This implies that higher academic stress is linked to poorer study habits and vice versa. The overall correlation between academic stress and study habits is r = -0.840 (p < 0.001). These results underscore the impact of stress on learning processes and identify study habits as a potential target for interventions to improve student well-being and performance.

Key Concepts

• Academic stress comprises five dimensions: stressors, physical reactions, psychological reactions, behavioral reactions, and coping strategies.
• Study habits refer to regular methods and practices used in academic tasks, including time management, environment, organization, and learning strategies.
• A strong negative relationship exists between academic stress and study habits across all dimensions, indicating that as stress increases, the quality of study habits tends to decrease.
• Instruments: SISCO Inventory of Academic Stress (29 items) and CASM-85 Study Habits Inventory (53 items).
• Sample and statistics: 99 students; significant inverse correlations with p < 0.001 across dimensions; strongest link observed for overall stress with study habits.

Methods

• Design: quantitative, non-experimental, basic research, relational level.
• Population and sample: 99 students from the Professional School of Education; evenly distributed across Early Childhood, Primary, and Secondary Education.
• Data collection: surveys using two Likert-scale instruments (SISCO and CASM-85).
• Analysis: Pearson correlations between academic stress and dimensions of study habits; significance tested at the 0.01 level (two-tailed).

Participants and Instruments

• Participants: 99 students from the Catholic University of Santa María (Arequipa, Peru).
• Instruments:
  • SISCO Inventory of Academic Stress (29 items) to assess stress level and dimensions. $n = 99$.
  • Study Habits Inventory CASM-85 (53 items) to assess study habits. $n = 99$.
• Core measures: stressors, physical reactions, psychological reactions, behavioral reactions, coping strategies (dimensions of stress); multiple study-habits dimensions and techniques.

Results: Relationship Between Academic Stress and Study Habits

• Overall: There is a very strong inverse relationship between academic stress and study habits: r = -0.840, ext{ } p < 0.001. The squared correlation is $r^2 = 0.706,$ meaning about $70.6\%$ of the variance in study habits is associated with academic stress.
• Dimension-specific correlations (study habits vs. stress dimensions):
  • Stressors: r = -0.755, ext{ } p < 0.001.
  • Physical reactions: r = -0.722, ext{ } p < 0.001.
  • Psychological reactions: r = -0.721, ext{ } p < 0.001.
  • Behavioral reactions: r = -0.629, ext{ } p < 0.001.
  • Coping strategies: r = -0.740, ext{ } p < 0.001.
• Interpretation: Higher stress (across any dimension) is associated with poorer study habits; better coping strategies correlate with more effective study habits, though the overall pattern is negative across dimensions.

Study Habits: Levels and Techniques

• Overall study-habits distribution (y variable):
  • Very Low: 0\%
  • Low: 41.4\%
  • High: 54.5\%
  • Very High: 4.0\%
  • Most students exhibit High or Low-to-High study-habit levels, indicating room for improvement in a subset.
• Most-used study techniques (Table 7):
  • Self-assessment and reformulation: 84.8\%
  • Reading and highlighting: 81.8\%
  • Clarifying highlights: 72.7\%
  • Transcribing understood content: 69.7\%
  • Active engagement strategies dominate over rote methods.
• Class/assignment/exam contexts (Tables 8–11) reveal variability in time management, autonomy, concentration, and distractions, with notable portions of students showing procrastination and reliance on external help at times, but also strong tendencies to tackle difficult tasks first and to use group support.
• Summary: The sample shows a predominantly positive orientation toward active, deep learning strategies, yet a sizable portion relies on last-minute efforts, with distractions and time-management challenges present.

Implications and Conclusions

• Hypothesis H1 (high academic stress): Supported; students in the Professional School of Education experience high levels of academic stress.
• Hypothesis H2 (insufficient study habits): Supported; overall study habits show gaps and room for improvement.
• Hypothesis H3 (significant relationship): Supported; there is a significant negative correlation between academic stress and study habits across dimensions.
• Practical takeaway: Reducing academic stress and strengthening study habits may synergistically improve academic performance and well-being. Interventions could include stress-management programs, study-skills training, and institutional support.

Recommendations and Future Directions

• Implement integrated psychological support and stress-management programs within universities; promote workshops on evidence-based study techniques.
• Develop early-identification systems to identify students with high stress and provide targeted assistance.
• Encourage autonomous learning practices, collaborative study groups, and pedagogical approaches that reduce unnecessary pressure.
• Further research could examine the durability of intervention effects across different learning environments and assess how enhanced collaboration between mental health professionals and educators affects student well-being and academic success.

Key Takeaway

• There is a robust, significant inverse relationship between academic stress and study habits among Peruvian university students, with higher stress linked to weaker study Habits. Targeted institutional support focusing on stress reduction and study-skill development is warranted to enhance student well-being and academic outcomes.