Evidence Hub

Eating Right, Sleeping Tight? A Cross-Sectional Study on the Student-Athlete Paradox for Diet and Sleep Behaviors

Olga Papale, Emanuel Festino, Francesca Di Rocco, Marianna De Maio, Carl Foster, C. Cortis, Andrea Fusco

Nutrients, 2025

12 citations

Abstract

Background: Student-athletes face the dual challenge of balancing academic and athletic commitments, which may simultaneously promote healthy lifestyle habits while increasing psychosocial and physiological stressors, particularly among female student-athletes. Understanding how these competing demands affect key behavioral (e.g., dietary habits, sleep, and chronotype) and psychological (e.g., body image) factors is essential for supporting their overall well-being. Therefore, this cross-sectional study investigated body dissatisfaction, adherence to the Mediterranean diet, sleep quality, and chronotype in female student-athletes compared to sedentary peers. Methods: Twenty-eight female participants voluntarily participated in the study. Twelve volleyball student-athletes (age 21.6 ± 2.4 years) were assessed during their competitive in-season period, and sixteen non-athlete students with a high sitting time (age 24.0 ± 3.2 years) completed the Mediterranean Diet Adherence questionnaire (PREDIMED), Pittsburgh Sleep Quality Index (PSQI), Morningness–Eveningness Questionnaire (MEQ), and Body Image Dimensional Assessment (body dissatisfaction) to assess their overall well-being. Results: Student-athletes showed significantly (p < 0.05) higher adherence to the Mediterranean diet (PREDIMED: 8.5 ± 1.5 score), although experiencing poorer sleep quality (PSQI: 6.8 ± 3.0 score) compared to non-athlete students with higher sitting times (PREDIMED: 6.7 ± 1.6 score; PSQI: 4.6 ± 2.3…

How strong is the evidence?

Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free