To Determine the Predictors for Sleep Quality in Young Adults Using Modifiable Lifestyle Factors for Noncommunicable Diseases: A Cross-sectional Study

Abstract

A bstrAct Aims: To determine the predictors for sleep quality in young adults using modifiable lifestyle markers for noncommunicable diseases (NCDs) among adults aged 20–40 years. Materials and methods: An exploratory study was conducted in New Delhi among 100 young adults aged 20–40 years in the year 2018, using a convenience sampling method. Body composition was assessed using Tanita UM-075. The relationship between the variables was measured with Spearman correlation analysis. Multivariable logistic regression analysis was conducted to determine the predictors for poor sleep quality. The receiver operating characteristics (ROC) curve was used to determine the predictive accuracy of the model. Results: Among all, 57% had sound quality sleep followed by 43% with disturbed; 23% were highly stressed, 71% moderately, and 6% low stressed. Significant correlation between sleep quality and risk factors for NCDs like body mass index (BMI) ( r = 0.8111, p < 0.001), waist circumference ( r = 0.6661, p < 0.001), body fat percentage ( r = 0.3692, p = 0.002), visceral fat ( r = 0.68, p < 0.001), stress score ( r = 0.092, p = 0.36), muscle mass (MM) ( r = 0.36, p = 0.0002). High BMI was observed to be an independent predictor for disturbed sleep quality (odds ratio 4.31, 95% CI 1.98–9.38). The area under the curve for the prediction of sleep quality was observed 0.97% using a combination of BMI, MM, duration of sleep. Conclusion: High BMI was observed to be an independent predictor (4.31 times higher) for the disturbed sleep quality. Clinical significance: Lifestyle modifiable factors should be looked upon when dealing with patients with disturbed sleep quality.