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A DESCRIPTIVE STUDY TO ASSESS THE RELATIONSHIP BETWEEN QUALITY OF SLEEP AND ACADEMIC PERFORMANCE AMONG NURSING STUDENTS OF COLLEGE OF NURSING
2020
Journal:  
International Journal of Advanced Research
Author:  
Abstract:

A descriptive study was undertaken to assess the Relationship between Quality of Sleep and Academic Performance among Nursing Students in selected College of Nursing, Ludhiana, Punjab. The objectives of the study were to assess the quality of sleep among nursing students, to identify academic performance of nursing students, to assess the relationship between quality of sleep and academic performance, to find out the relationship of quality of sleep and academic performance with selected variables like age, gender, type of course, type of family, residence, academic year, duration of sleep, use of technology, attendance (Clinical & Theory), Day nap. Quantitative Research Approach and non-experimental descriptive research design was used to accomplish the stated objectives.The conceptual framework was based on King’s Conceptual System of Goal Attainment Theory (1981). Data was collected with the help of standardised tool named Pittsburgh Sleep Quality Index (PSQI) which was found reliable (r=0.76). 105 Subjects were chosen by simple random sampling technique. The data collected was analysed using descriptive and inferential statistics. The study revealed that nursing students had good quality of sleep and good academic performance whereas there was no significant relationship between quality of sleep and academic performance. Demographic variables i.e. sleep duration had a significant impact on quality of sleep whereas gender, academic year, attendance and day nap had a significant impact on the academic performance of nursing students. Based on findings of the study guidelines were prepared on quality of sleep & distributed among nursing students.

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International Journal of Advanced Research

Field :   Sosyal, Beşeri ve İdari Bilimler

Journal Type :   Uluslararası

Metrics
Article : 10.413
Cite : 731
2023 Impact : 0.003
International Journal of Advanced Research