Registro fonte: Analysis of sleep quality and screen time in obese adolescents

Analysis of sleep quality and screen time in obese adolescents

OBJECTIVE: Correlate the variables sleep latency, sleep duration and habitual sleep efficiency of the Pittsburgh Questionnaire (PSQI) and the duration of the screen time with the quality of sleep.METHODS: Twenty-four adolescents between 10 and 17 years old participated in this study, classified as o...

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Principais autores:	Ruthes, Elena Marie Peixoto, Lima, Alice Lerias de, Malinowski, Anna Karolyna Czaplinska, Veiga, Matheus Soares da, Corazza, Patricia Ribeiro Paes, Tadiotto, Maiara Cristina, Leite, Neiva, Matos, Oslei de
Formato:	Artigo
Idioma:	Português
Publicado em:	Universidade Tecnológica Federal do Paraná (UTFPR) 2020
Acesso em linha:	http://periodicos.utfpr.edu.br/rbqv/article/view/11052
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spelling	peri-article-110522024-05-01T10:37:44Z Analysis of sleep quality and screen time in obese adolescents Análise da qualidade do sono e tempo de tela em adolescentes obesos Ruthes, Elena Marie Peixoto Lima, Alice Lerias de Malinowski, Anna Karolyna Czaplinska Veiga, Matheus Soares da Corazza, Patricia Ribeiro Paes Tadiotto, Maiara Cristina Leite, Neiva Matos, Oslei de 4.00.00.00-1 Ciências da Saúde, 4.09.00.00-2 Educação Física, Sono; Obesidade; Adolescentes; Tempo de tela. Sleep; Obesity; Teenagers; Screen time. OBJECTIVE: Correlate the variables sleep latency, sleep duration and habitual sleep efficiency of the Pittsburgh Questionnaire (PSQI) and the duration of the screen time with the quality of sleep.METHODS: Twenty-four adolescents between 10 and 17 years old participated in this study, classified as obese by their body mass index (BMI). Sleep data were collected using the PSQI; and, the data on screen time, from a questionnaire developed by research group at laboratory in biomedical engineering and health (PEBS). For data analysis, descriptive statistics, Spearman correlation test, simple linear regression analysis.RESULTS: The average age of the individuals evaluated was 12.7±3.47 years, with an average BMI of 27.93 kg/m²±5.95. It was observed that the main component of PSQI that affects sleep quality is daytime dysfunction (20.9%). Regarding the screen time questionnaire and the quality of sleep, it was found that the use of cell phones after bedtime interferes by 20% in the hours slept.CONCLUSIONS: Daytime dysfunction, duration, latency, as well as habitual sleep efficiency are the components that most influence sleep quality; we also found that cell phone use affects about 20% of teenagers' sleep hours. OBJETIVO: Correlacionar as variáveis latência do sono, duração do sono e eficiência habitual do sono através do questionário Índice de Qualidade do Sono de Pittsburgh (PSQI) e a duração do tempo de tela com a qualidade do sono.MÉTODOS: Participaram deste estudo 24 adolescentes entre 10 e 17 anos, classificados como obesos pelo índice de massa corporal (IMC). Os dados sobre o sono foram coletados através do PSQI; e, os dados sobre o tempo de tela a partir de um questionário desenvolvido pela Equipe do laboratório de pesquisa e pós-graduação em engenharia biomédica e saúde (PEBS). Para a análise dos dados utilizou-se estatística descritiva, teste de correlação de Spearman, análise de regressão linear simples.RESULTADOS: A média de idade dos avaliados foi de 12,7±3,47 anos, com IMC médio de 27,93 kg/m²±5,95. Observou-se que o principal componente do PSQI que afeta a qualidade do sono é a disfunção diurna (20,9%). Em relação ao questionário do tempo de tela e a qualidade do sono, constatou-se que o uso de celular após se deitar interfere em 20% nas horas dormidas.CONCLUSÕES: Disfunção diurna, duração, latência, assim como eficiência habitual do sono são os componentes que mais influenciam na qualidade do mesmo; também verificamos que o uso de celular afeta cerca de 20% das horas de sono dos adolescentes. Universidade Tecnológica Federal do Paraná (UTFPR) UTFPR, Departamento de educação física. UFPR, Departamento de educação física. 2020-06-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf http://periodicos.utfpr.edu.br/rbqv/article/view/11052 10.3895/rbqv.v12n2.11052 Revista Brasileira de Qualidade de Vida; v. 12, n. 2 (2020) 2175-0858 10.3895/rbqv.v12n2 por http://periodicos.utfpr.edu.br/rbqv/article/view/11052/pdf http://periodicos.utfpr.edu.br/rbqv/article/downloadSuppFile/11052/1615 Direitos autorais 2020 CC-BY http://creativecommons.org/licenses/by/4.0
institution	Universidade Tecnológica Federal do Paraná
collection	PERI
language	Português
format	Artigo
author	Ruthes, Elena Marie Peixoto Lima, Alice Lerias de Malinowski, Anna Karolyna Czaplinska Veiga, Matheus Soares da Corazza, Patricia Ribeiro Paes Tadiotto, Maiara Cristina Leite, Neiva Matos, Oslei de
spellingShingle	Ruthes, Elena Marie Peixoto Lima, Alice Lerias de Malinowski, Anna Karolyna Czaplinska Veiga, Matheus Soares da Corazza, Patricia Ribeiro Paes Tadiotto, Maiara Cristina Leite, Neiva Matos, Oslei de Analysis of sleep quality and screen time in obese adolescents
author_sort	Ruthes, Elena Marie Peixoto
title	Analysis of sleep quality and screen time in obese adolescents
title_short	Analysis of sleep quality and screen time in obese adolescents
title_full	Analysis of sleep quality and screen time in obese adolescents
title_fullStr	Analysis of sleep quality and screen time in obese adolescents
title_full_unstemmed	Analysis of sleep quality and screen time in obese adolescents
title_sort	analysis of sleep quality and screen time in obese adolescents
description	OBJECTIVE: Correlate the variables sleep latency, sleep duration and habitual sleep efficiency of the Pittsburgh Questionnaire (PSQI) and the duration of the screen time with the quality of sleep.METHODS: Twenty-four adolescents between 10 and 17 years old participated in this study, classified as obese by their body mass index (BMI). Sleep data were collected using the PSQI; and, the data on screen time, from a questionnaire developed by research group at laboratory in biomedical engineering and health (PEBS). For data analysis, descriptive statistics, Spearman correlation test, simple linear regression analysis.RESULTS: The average age of the individuals evaluated was 12.7±3.47 years, with an average BMI of 27.93 kg/m²±5.95. It was observed that the main component of PSQI that affects sleep quality is daytime dysfunction (20.9%). Regarding the screen time questionnaire and the quality of sleep, it was found that the use of cell phones after bedtime interferes by 20% in the hours slept.CONCLUSIONS: Daytime dysfunction, duration, latency, as well as habitual sleep efficiency are the components that most influence sleep quality; we also found that cell phone use affects about 20% of teenagers' sleep hours.
publisher	Universidade Tecnológica Federal do Paraná (UTFPR)
publishDate	2020
url	http://periodicos.utfpr.edu.br/rbqv/article/view/11052
_version_	1805535392853655552
score	10,814766

Analysis of sleep quality and screen time in obese adolescents

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