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Sleep Quality and Its Correlates among Adolescents of Western Nepal: A Population-Based Study
Sleep quality has a long-term impact on health leading to depression among adolescent students. We conducted a cross-sectional study to assess the prevalence of sleep quality and its associated factors among adolescents of western, Nepal. 514 adolescents from different schools were selected by the p...
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Published in: | Sleep disorders 2021-05, Vol.2021, p.1-8 |
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container_title | Sleep disorders |
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creator | Gautam, Prayas Dahal, Maginsh Baral, Kushalata Acharya, Rohit Khanal, Sudip Kasaju, Aastha Sangroula, Raj Kumar Gautam, Koshish Raj Pathak, Kabita Neupane, Anu |
description | Sleep quality has a long-term impact on health leading to depression among adolescent students. We conducted a cross-sectional study to assess the prevalence of sleep quality and its associated factors among adolescents of western, Nepal. 514 adolescents from different schools were selected by the probability proportionate to size (PPS) method. The Pittsburgh Sleep Quality Index (PSQI) was used to assess the sleep quality among adolescents. The collected data were entered in EpiData 3.2 version, then extracted to excel 2019 and was analyzed with the help of RStudio (version 1.2.5033). Frequency distribution and percentage were identified as descriptive analysis whereas chi-square test was done. Variables that were found statistically significant (P |
doi_str_mv | 10.1155/2021/5590715 |
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We conducted a cross-sectional study to assess the prevalence of sleep quality and its associated factors among adolescents of western, Nepal. 514 adolescents from different schools were selected by the probability proportionate to size (PPS) method. The Pittsburgh Sleep Quality Index (PSQI) was used to assess the sleep quality among adolescents. The collected data were entered in EpiData 3.2 version, then extracted to excel 2019 and was analyzed with the help of RStudio (version 1.2.5033). Frequency distribution and percentage were identified as descriptive analysis whereas chi-square test was done. Variables that were found statistically significant (P<0.05) were further analyzed using the logistic regression model. The prevalence of sleep quality in this study was 39.1%. In a bivariate analysis, ethnicity, religion, place of residence, drinking status of father, reason for selecting the currently studying faculty, satisfaction with academic performance, use of tobacco, relationship with friends or classmates, more use of internet per day, and use of internet before falling asleep were found to be statistically significant with sleep quality. Those students who left their home without informing their parents were more than three times at the risk of sleep quality than those students who never ran away from their home without informing their parents (AOR=3.435, CI: 1.237-9.540). The overall prevalence of sleep quality among school going adolescent students was 39.1 percent which was comparatively high.</description><identifier>ISSN: 2090-3545</identifier><identifier>EISSN: 2090-3553</identifier><identifier>DOI: 10.1155/2021/5590715</identifier><identifier>PMID: 34055416</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>Academic achievement ; Age ; Alcohol ; Chi-square test ; Data collection ; Families & family life ; Hyperactivity ; Learning ; Mental health ; Population-based studies ; Questionnaires ; Schools ; Sleep deprivation ; Sleep disorders ; Sociodemographics ; Students ; Teenagers</subject><ispartof>Sleep disorders, 2021-05, Vol.2021, p.1-8</ispartof><rights>Copyright © 2021 Prayas Gautam et al.</rights><rights>Copyright © 2021 Prayas Gautam et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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We conducted a cross-sectional study to assess the prevalence of sleep quality and its associated factors among adolescents of western, Nepal. 514 adolescents from different schools were selected by the probability proportionate to size (PPS) method. The Pittsburgh Sleep Quality Index (PSQI) was used to assess the sleep quality among adolescents. The collected data were entered in EpiData 3.2 version, then extracted to excel 2019 and was analyzed with the help of RStudio (version 1.2.5033). Frequency distribution and percentage were identified as descriptive analysis whereas chi-square test was done. Variables that were found statistically significant (P<0.05) were further analyzed using the logistic regression model. The prevalence of sleep quality in this study was 39.1%. 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We conducted a cross-sectional study to assess the prevalence of sleep quality and its associated factors among adolescents of western, Nepal. 514 adolescents from different schools were selected by the probability proportionate to size (PPS) method. The Pittsburgh Sleep Quality Index (PSQI) was used to assess the sleep quality among adolescents. The collected data were entered in EpiData 3.2 version, then extracted to excel 2019 and was analyzed with the help of RStudio (version 1.2.5033). Frequency distribution and percentage were identified as descriptive analysis whereas chi-square test was done. Variables that were found statistically significant (P<0.05) were further analyzed using the logistic regression model. The prevalence of sleep quality in this study was 39.1%. In a bivariate analysis, ethnicity, religion, place of residence, drinking status of father, reason for selecting the currently studying faculty, satisfaction with academic performance, use of tobacco, relationship with friends or classmates, more use of internet per day, and use of internet before falling asleep were found to be statistically significant with sleep quality. Those students who left their home without informing their parents were more than three times at the risk of sleep quality than those students who never ran away from their home without informing their parents (AOR=3.435, CI: 1.237-9.540). The overall prevalence of sleep quality among school going adolescent students was 39.1 percent which was comparatively high.</abstract><cop>New York</cop><pub>Hindawi</pub><pmid>34055416</pmid><doi>10.1155/2021/5590715</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-0530-7610</orcidid><orcidid>https://orcid.org/0000-0003-1873-7601</orcidid><orcidid>https://orcid.org/0000-0001-8088-7112</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Academic achievement Age Alcohol Chi-square test Data collection Families & family life Hyperactivity Learning Mental health Population-based studies Questionnaires Schools Sleep deprivation Sleep disorders Sociodemographics Students Teenagers |
title | Sleep Quality and Its Correlates among Adolescents of Western Nepal: A Population-Based Study |
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