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Correlation Between Sleep Quality , Physical Fitness and Body Mass Index

NCT06815900 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 134

Last updated 2025-02-10

No results posted yet for this study

Summary

It is estimated that 10-13% of adults suffer from chronic insomnia. Short sleep duration is linked to obesity, type 2 diabetes, high blood pressure, and cardiovascular diseases. Feeling tired during the day predicts poor sleep quality (SQ), while wakefulness is linked to better SQ. Previous studies have also reported a relationship between short sleep duration and increased Body Mass Index (BMI), and a high correlation between increased BMI and decreased SQ, with more frequent awakenings. Moreover, there is a connection between sleep disorders and weight gain. The study is significant because it aims to uncover the relationships between sleep quality, physical fitness, and body mass index (BMI) in physical therapy students, offering insights crucial for improving their health and academic performance. By identifying how these factors interact, the study can inform targeted interventions to enhance student well-being, clinical competence, and long-term health. Additionally, the findings can guide educational programs to support healthier lifestyles and enable students to serve as effective role models for their future patients, thereby contributing to overall healthcare quality.

Conditions

  • Sleep Quality , Physical Fitness and Body Mass Index

Interventions

OTHER

one group .observational study

observational study of this group

Sponsors & Collaborators

  • Cairo University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
25 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-04-01
Primary Completion
2025-10-01
Completion
2025-11-01

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06815900 on ClinicalTrials.gov