Objective: The study aims to analyze the correlation between sleep quality and adolescent mental health in rural areas during the Coronavirus Disease 2019 (COVID-19) pandemic.
Material And Methods: A cross-sectional study was conducted in Bandung rural area in February 2023. The subjects were adolescents aged 12-15 years who attended high school in Sagaracipta Village. To assess mental health, the Strength and Difficulties Questionnaire (SDQ) was used. Meanwhile, sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. The questionnaires were distributed and then filled in directly by the participants under close supervision. The relationship between mental problems and sleep quality was analyzed with the Spearman Rank correlation. The confidence range employed was 95%, while p< 0.05 was considered statistically significant.
Results: The results showed that at two junior high schools in Sagaracipta Village, 70.6% of the 109 subjects had poor sleep quality. Among the subjects, a significant number exhibited abnormal scores on various subscales. Specifically, 24 subjects (22%) showed abnormalities in the emotional subscales, 18 (16.5%) in conduct, 5 (4.6%) in hyperactivity, 15 (13.8%) in problems with peers, 26 (23.9%) in total difficulty, but there were no abnormal subjects on the pro-social sunscale. Based on the Rank Spearman correlation test, there was a statistically significant correlation between sleep quality and the emotional, behavioral, hyperactivity, and overall difficulties subscales, with coefficients of 0.247; 0.258; 0.22; and 0.310 as well as p-values of 0.010; 0.007; 0.021; and 0.001 respectively.
Conclusion: During the COVID-19 pandemic, there was a correlation between mental health and sleep quality among adolescents in rural area.
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http://dx.doi.org/10.2147/IJGM.S416076 | DOI Listing |
Res Child Adolesc Psychopathol
January 2025
Nutrition and Mental Health Research Group (NUTRISAM), Universitat Rovira I Virgili (URV), Carretera de Valls, S/N, 43007, Tarragona, Spain.
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View Article and Find Full Text PDFWomens Health (Lond)
January 2025
Faculty of Health Sciences, Department of Physiotherapy, University of Granada, Granada, Spain.
Background: After breast cancer (BC), women may face other severe symptoms such as sleep problems. The use of simple, fast, and reliable scales is necessary in the clinic to improve patient benefits, and sleep is an important aspect to be addressed.
Objective: This study was conducted to adapt and validate the Spanish version of the satisfaction, alertness, timing, efficiency, and duration (SATED) scale for measuring sleep health in women who have completed treatment for BC in Spain (SATED-BC).
Sensors (Basel)
December 2024
GIKAFIT Research Group, University of the Basque Country (UPV/EHU), 01007 Vitoria-Gasteiz, Spain.
The main aim of the present study was to uncover multivariate relationships between sleep quantity and quality using principal component analysis (PCA) in professional female soccer players. A second aim was to examine the extent to which objective sleep quantity and quality variables can discriminate between perceived sleep. Ten objective sleep variables from the multisensory sleep-tracker were analyzed.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, CreativeLab Research Community, 5000-801 Vila Real, Portugal.
Artificial Intelligence (AI) is transforming the field of sports science by providing unprecedented insights and tools that enhance training, performance, and health management. This work examines how AI is advancing the role of sports scientists, particularly in team sports environments, by improving training load management, sports performance, and player well-being. It explores key dimensions such as load optimization, injury prevention and return-to-play, sports performance, talent identification and scouting, off-training behavior, sleep quality, and menstrual cycle management.
View Article and Find Full Text PDFSensors (Basel)
December 2024
College of Material Science and Technology, Beijing Forestry University, Beijing 100083, China.
Mattress firmness is a critical factor influencing sleep quality. This study investigates the effects of time, mattress firmness, and anthropometric parameters on surface electromyographic (sEMG) activity during supine rest. Eleven participants were analyzed, and the values for lower back sEMG on three mattresses were measured as 8.
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