Correlation of Sleep Quality with Body Mass Index and Blood Pressure among the Healthcare Students in Karnataka: A Cross-sectional Study

Abstract

Introduction: A quality night sleep is essential for physical, cognitive, and emotional well-being. The amount of sleep may have an effect on both weight and metabolism. In India, for the last few years, decline in sleep duration has been noted with an average sleep duration of 7 hours per night and one-third sleeping less than 7 hours per night. Televisions and smartphones which came into households as remarkable source of information and entertainment has caused the voluntary sleep restriction. Aim: To evaluate the sleep quality, Body Mass Index (BMI) and Blood Pressure (BP) of the healthcare students and also to find the correlation of sleep quality with BMI and BP. Material and Methods: The present cross-sectional study was conducted on 138 healthy males and females healthcare students residing in hostel premises of Yenepoya (Deemed to be University), Karnataka, India from November to December 2021. Pittsburgh Sleep Quality Index (PSQI) questionnaires administered to assess the sleep quality by adding the seven components of PSQI score ranging from 0 to 21. A weighing scale, sphygmomanometer, and stadiometer instruments were used to record the weight, BP, and height. Data were computed in International Business Management (IBM) Statistical Package for Social Sciences (SPSS) software version 23.0 to analyse descriptive and inferential statistics. Results: The mean age in present study was 23±0.72 years and 71 (51.4%) belonged to 22-23 years, majority 112 (81.2%) were female students. In present study, moderately obese students (33.15±0.72) and severely obese (35.39±0.10) had mean sleep score of 6.00±3.46 and 11 respectively indicating poor sleep quality. The underweight (16.91±1.17), normal weight (21.49±2.04) and overweight (26.49±1.48) had mean sleep score of 3.08±1.62, 3.08±1.12 and 4.66±3.05 respectively, which indicated good sleep quality. Students with hypotension, normal BP and hypertension stage-1 showed mean sleep score of 3.52, 2.71 and 4.77 respectively, showing good sleep quality. A statistically significant positive correlation of BMI was found with SBP (r-value 0.273, p-value 0.001) and DBP (r-value 0.181, p-value 0.033). Conclusion: BMI and BP were positively correlated with sleep quality. Therefore, creating awareness among healthcare students on healthy lifestyles such as exercise, healthy sleep and regular health supervision is essential to prevent prehypertension and maintain normal BMI status.