This study aimed to explore the relationship between sleep quality and its impact on mental and physical health, particularly in the context of stress. A mixed methods approach will be used including: a pre-test questionnaire and physiological measurements that depend on scales for measuring to assess sleep patterns: DASS21, fatigue assessment scale, Epworth sleeping scale, and SF-12 health survey scoring. All of that will highlight the importance of addressing sleep quality as a crucial factor in promoting overall well-being.
This study aims to explore the relationship between sleep quality and its impact on mental and physical health, particularly in the context of stress. A mixed methods approach will be used including: a pre-test questionnaire and physiological measurements that depend on scales for measuring to assess sleep patterns: DASS21, fatigue assessment scale, Epworth sleeping scale, and SF-12 health survey scoring. All of that will highlight the importance of addressing sleep quality as a key factor in promoting overall well-being. In conclusion, understanding the intricate relationship between sleep quality, stress, and mental and physical health is vital for promoting holistic well-being, developing effective interventions, and improving health outcomes at individual, community, and societal levels. By recognizing the significance of this research, we can work towards creating a healthier and more resilient population.
Study Type
OBSERVATIONAL
Enrollment
380
Kafrelsheikh University
Kafr ash Shaykh, Kafr el-Sheikh Governorate, Egypt
Kafrelsheikh University
Kafr ash Shaykh, Kafr el-Sheikh Governorate, Egypt
Stress
Measurement tool: THE DASS-21 scale Unit of measurement:The DASS-21 (Depression, Anxiety, and Stress Scale - 21 items) measures psychological distress across three domains: depression, anxiety, and stress. Each of the three scales consists of 7 items, and respondents rate their experience over the past week on a 4-point Likert scale The scores for each domain are summed to provide a total score, which can then be categorized into different severity levels (normal, mild, moderate, severe, and extremely severe) based on specific cutoff points. Each of the three domains is measured separately, and the resulting scores are typically reported as a total score for each domain.
Time frame: Week
Sleep quality
Measurement tool:epwoth sleepiness sclae (ESS). Unit of measurement: The \*\*Epworth Sleepiness Scale (ESS)\*\* is used to assess daytime sleepiness. It consists of 8 scenarios, and respondents rate their likelihood of dozing off in each situation on a scale from 0 to 3: The total score is obtained by summing the scores for all 8 items, resulting in a score that can range from \*\*0 to 24\*\*. Higher scores indicate greater levels of daytime sleepiness. The following cutoff values are often used to interpret the results: These scores help in identifying individuals who may require further evaluation for sleep disorders.
Time frame: Week
Mental and physical health
Measurement tool:SF-12 health survey scoring. Unit of measurement: The SF-12 health survey scoring uses a unitless scale to measure health-related quality of life. The scores range from 0 to 100, with higher scores indicating better health status. The survey assesses physical and mental health across various dimensions but does not assign specific units of measurement like inches or pounds; instead, it provides a standardized score reflecting overall health.
Time frame: 4 weeks
Fatigue
Measurement tool: fatigue assessment scale. Unit of measurement: Based on subjective rating"numerical scale"
Time frame: Week
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