Disruption of sleep patterns among secondary school adolescents.
| Autor: | MUSIHB, Zeki Sabah, HUSSEIN, Hasan Saud Abdul, ALI, Alaa Mahdi Abd |
|---|---|
| Předmět: |
RISK assessment
CROSS-sectional method HIGH schools PEARSON correlation (Statistics) INCOME CRONBACH'S alpha T-test (Statistics) PSYCHOLOGY of high school students SEX distribution STATISTICAL sampling SOCIOECONOMIC factors AGE distribution QUANTITATIVE research DESCRIPTIVE statistics DISEASE prevalence SLEEP duration RESEARCH methodology SLEEP deprivation INFERENTIAL statistics ANALYSIS of variance COMPARATIVE studies DATA analysis software SOCIODEMOGRAPHIC factors SLEEP quality DROWSINESS SLEEP disorders DISEASE risk factors ADOLESCENCE |
| Zdroj: | Journal of Integrative Nursing; Jul-Sep2024, Vol. 6 Issue 3, p145-149, 5p |
| Abstrakt: | Objectives: This study aims to assess sleep disorders among secondary school adolescents and explore the relationship between sociodemographic factors (age, gender, household income, and sleep duration) and the occurrence of these disorders. Methods: A quantitative, descriptive, cross-sectional study, was conducted from November 20th, 2022, to May 25th, 2023, involving 200 secondary school students selected through convenience sampling. Data collection utilized a structured questionnaire divided into sociodemographic and sleep disorder sections. Validity was ensured by a panel of ten experts, and reliability was confirmed using Cronbach's Alpha (0.77). Statistical analysis employed SPSS version 26. Results: Findings revealed that a majority of participants (70.5%) had low-level sleep disorders, followed by moderate disorders represented (29%). Significant associations were found between sleep disorders and gender (P = 0.000), economic status for family (P = 0.020), and nightly sleep duration (P = 0.016). However, no significant relationship was observed between sleep disorders and family structure or age (P > 0.05). Conclusions: The study highlights that most secondary school students experience mild sleep disorders, followed by moderate disorders. Notably, gender, income, and sleep duration showed significant correlations with sleep disorders. [ABSTRACT FROM AUTHOR] |
| Databáze: | Complementary Index |
| Externí odkaz: |
|