Caffeine Consumption: Perception vs. Impact in University Students

This study explores how undergraduate students at Davao Oriental State University perceive caffeine consumption and its actual impact on their academic performance and sleep quality, considering various sociodemographic factors.

Core Principles

Caffeine is a widely consumed psychoactive substance affecting alertness and fatigue.
Students often use caffeine to enhance academic performance and cope with workload.
Perceptions of caffeine's benefits (alertness, mood) are common.
Negative impacts include sleep disturbances, anxiety, and potential dependence.
Sociodemographic factors (age, sex, allowance) can influence consumption patterns and perceptions.
The study uses Roy's Adaptation Model and Symbolic Interactionism to frame the research.
A quantitative, descriptive, correlational, and comparative design is employed.

Action Steps

Understand the sociodemographic profile of student caffeine consumers.
Assess students' perceptions regarding caffeine's effects (appetite, mood, energy, dependence, physical performance, anxiety, sleep).
Evaluate the impact of caffeine consumption on academic performance and sleep quality.
Determine the relationship between caffeine perception and its impact.
Analyze differences in perception and impact based on sociodemographic factors.
Identify which perception domains best predict the impact of caffeine consumption.

Formulas

n = N / (1 + N * e^2)

Key Terms

Caffeine Consumption: Total daily intake of caffeine from any source (beverages, food, supplements).
Impact: Overall effects of caffeine on health and daily life, including physical, mental, and behavioral aspects.
Perception: Individual beliefs, attitudes, and views regarding caffeine and its effects.
Undergraduate Students: Full-time students enrolled in a four-year baccalaureate program.
State University: A government-recognized public higher education institution (Davao Oriental State University).

Timeline

May 2026: Thesis completion and submission target.
Academic Year 2025-2026 (Second Semester): Data collection period.
Pre-Data Collection Phase: Concept paper submission, proposal development, ethics review, pilot testing.
Data Collection Phase: Distribution and retrieval of validated questionnaires.
Post-Data Collection Phase: Data processing, statistical analysis, report writing, and final defense.

People

Laurence Nathaniel L. Figura: Author
Karelle May F. Maureal: Author
Dianne Mae P. Barro: Author
Julie Mae S. Matais: Author
April Mae S. Pilapil: Author