Day Time Sleepiness and Quality of Life Predicts Perceived Stress among Youth
Bibliographic Data
| ID | 22221237 |
|---|---|
| Authors | Sandeep Panchal (0000-0001-9119-651X, Rajiv Gandhi University), Monika Yadav (0000-0002-6567-4431, Indira Gandhi Mirpur University) |
| Year | 2021 |
| Volume | 3 |
| Issue | 2 |
| Pages | 29-34 |
| Publication date | 2021-05-25 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Psychological Research (JOURNAL) |
| Journal identifiers | ISSN: 2630-5143 • E-ISSN: 2630-5143 |
| Publisher | Bilingual Publishing Group (PUBLISHER • SG) |
| DOI | 10.30564/jpr.v3i2.3129 |
| OpenAlex | W3164371169 |
| Language | EN |
| References cited | 3 |
The study examined the predictor of perceived stress among youth. The variables used in the current study were day time sleepiness, quality of life and perceived stress. The sample consists of 150 youth (81Male & 69 Female) with in the age range of 18-24 years. The Epworth Sleepiness Scale (ESS), World Health Organization Quality of Life (WHO-BRIEF), and Perceived Stress Scale (PSS) were used. The data were interpreted after obtaining the descriptive statistics i.e. Mean and SD, Pearson’s Product Moment correlation and step wise multiple regression analysis. The findings indicated that day time sleepiness and quality of life have a significant positive relation with perceived stress among youth. The step wise regression analysis found day time sleepiness and psychological health related quality of life are the predictors of perceived stress. Both the variable accounts for 39% of total variance in perceived stress among youth
Analysis of variance · Descriptive statistics · Epworth Sleepiness Scale · Perceived Stress Scale · Psychiatry · Regression analysis · Statistics · Clinical Psychology · Demography · Health and Well-being Studies · Mathematics · Medicine · Psychology · Resilience and Mental Health · Sleep and related disorders · Internal Medicine
| Highly cited | No |
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