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Multidimensions of sleep health among in-school adolescents in rural and urban areas in southwestern Nigeria.
Olorunmoteni, Oluwatosin Eunice; Gómez-Olivé, Francesc-Xavier; Fatusi, Adesegun Olayiwola; Scheuermaier, Karine.
Afiliação
  • Olorunmoteni OE; Wits Sleep Laboratory, Brain Function Research Group, School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Department of Paediatrics and Child Health, College of Health Sciences, Obafemi Awolowo University, Ile-Ife, Osun State, Nigeria.
  • Gómez-Olivé FX; MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health (Education Campus), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
  • Fatusi AO; School of Public Health, University of Medical Sciences, Ondo City, Ondo State, Nigeria; Department of Community Health, College of Health Sciences, Obafemi Awolowo University, Ile-Ife, Osun State, Nigeria.
  • Scheuermaier K; Wits Sleep Laboratory, Brain Function Research Group, School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. Electronic address: karine.scheuermaier@wits.ac.za.
Sleep Health ; 10(1S): S170-S179, 2024 Feb.
Article em En | MEDLINE | ID: mdl-38092639
ABSTRACT

INTRODUCTION:

Previous studies have focused on sleep inequities among disadvantaged populations in high-income countries. However, little is known about the differences in sleep health among adolescents in Africa. We aimed to compare the multidimensions of sleep health in adolescents living in rural vs. urban communities in Nigeria.

METHODS:

This cross-sectional study enrolled adolescents aged 13-19 in six rural and six urban schools in Osun State, Nigeria. We measured the prevalence of poor sleep quality (Pittsburgh Sleep Quality Index score >5), daytime sleepiness (Epworth Sleepiness Scale for Children and Adolescents score >10), and risk of sleep apnea (Teen STOPBANG). We compared the sleep health variables between the rural and urban populations using multivariable logistic regression.

RESULTS:

Of the 900 participants (51% rural; 59% female; average age (SD)= 15.1(1.4) years), 79% had short sleep duration (<8.5 hours), 14.9% poor sleep quality, 9.6% excessive daytime sleepiness and 9.8% risk of sleep apnea. Urban adolescents had a higher prevalence of poor sleep quality (p = .004), short sleep duration (p < .001), daytime sleepiness (p = .044), and risk of sleep apnea (p = .006) compared to rural adolescents. The adjusted odds of having poor sleep quality (p = .008) and daytime sleepiness (p = .007) were about 2-fold higher among urban compared to rural adolescents. Later school end time, having single/separated parent(s), absence of parental setting of bedtime were independently associated with poorer sleep health.

CONCLUSION:

Adolescents in rural communities had better sleep health than adolescents in urban communities. There is a need to develop interventions to improve the sleep quality and overall sleep health of urban-dwelling adolescents.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article