Purpose: Poor sleep is increasing worldwide but sleep studies, using objective measures, are limited in Africa. Thus, we described the actigraphy-measured sleep characteristics of Nigerian in-school adolescents and the differences in these sleep characteristics in rural versus urban-dwelling adolescents using actigraphy plus a sleep diary.
Methods: This comparative, quantitative study involved 170 adolescents aged 13-19 attending six rural and six urban schools in southwestern Nigeria. Participants wore actiwatches and filled sleep diaries concurrently for one week. We ran a mixed model analysis with each sleep characteristic as a dependent variable in each model and the fixed effects of age, weekday versus weekend, rural versus urban residence, sex, and religion.
Results: The adolescents were 54.1 % females with a mean age of 15.6 ± 1.3 years. Overall, adolescents' mean bedtime was 22.50 ± 0.85, mean waketime was 5.73 ± 0.68 and mean total sleep time (TST) was 06.07 ± 0.95 h. On both weekdays and weekends, urban adolescents had significantly later bedtimes, earlier waketimes, shorter time-in-bed (TIB) and TST (all p < 0.05) while rural adolescents had lower sleep efficiency, more frequent awakenings and WASO (all p < 0.05). In mixed-model analyses, older adolescents had later bedtimes (p = 0.035) and shorter TST (p = 0.047), urban adolescents had later bedtimes, earlier wake times, shorter TIB and TST than rural adolescents (all p < 0.05), and on weekdays, all adolescents had earlier bedtimes, waketimes, shorter TIB and TST than on weekends (all p < 0.05).
Conclusion: Adolescents, especially the urban ones, had insufficient sleep with a catch-up-sleep on weekends. Multipronged interventions, including controlling causes of late bedtimes and delaying school start-times are needed to improve sleep, especially among older and urban adolescents.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.sleep.2025.01.020 | DOI Listing |
Rev Cardiovasc Med
January 2025
Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, 230001 Hefei, Anhui, China.
Background: This study aimed to develop and validate a predictive model for major depression risk in adult patients with coronary heart disease (CHD), offering evidence for targeted prevention and intervention.
Methods: Using data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018, 1098 adults with CHD were included. A weighted logistic regression model was applied to construct and validate a nomogram-based prediction tool for major depression in this population.
Wellcome Open Res
November 2024
Universidad Cientifica del Sur, Lima, Peru.
Background: The skeletal muscle has mainly a structural function and plays a role in human's metabolism. Besides, the association between sleep quality and muscle mass, in the form of sarcopenia, has been reported. This study aimed to assess whether changes of skeletal muscle mass (SMM) over time are associated with baseline sleep duration and disturbances in a resource-constrained adult Peruvian population.
View Article and Find Full Text PDFBrain Inj
January 2025
Department of Physical Medicine & Rehabilitation, O'Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Objective: To examine the relationship between body mass index (BMI), newly developed sleep disorders and functional outcome after moderate-to-severe traumatic brain injury (msTBI).
Methods: Retrospective data from the TBI Model Systems National Database was analyzed, focusing on the independent association between BMI, sleep disorder diagnosis, and functional outcome as measured by the Extended Glasgow Outcome Scale (GOSE) at 1-year post-injury. Linear and logistic regression were used.
Eur Spine J
January 2025
Department of Orthopedics, the Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518000, Guangdong, China.
Objectives: Sleep disorders are considered a risk factor for aging and skeletal degeneration, but their impact on intervertebral disc degeneration (IDD) remains unclear. The aim of this study was to assess associations between sleep characteristics and IDD, and to identify potential causal relationships.
Methods: Exposure factors included six unhealthy sleep characteristics: insomnia, short sleep duration (< 7 h), long sleep duration (≥ 9 h), evening chronotype, daytime sleepiness, and snoring.
Sleep Med
January 2025
Wits Sleep Laboratory, Brain Function Research Group, School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Purpose: Poor sleep is increasing worldwide but sleep studies, using objective measures, are limited in Africa. Thus, we described the actigraphy-measured sleep characteristics of Nigerian in-school adolescents and the differences in these sleep characteristics in rural versus urban-dwelling adolescents using actigraphy plus a sleep diary.
Methods: This comparative, quantitative study involved 170 adolescents aged 13-19 attending six rural and six urban schools in southwestern Nigeria.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!