上海市部分学校青少年睡眠质量评价的描述性研究,拟备资料手册

Amruta Ajit Lokhande, Prabhadevi Narayan, Pratik Premanand Patole, Sakshi Ajit Lokhande
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引用次数: 0

摘要

背景:了解青少年不健康睡眠模式的影响和影响睡眠质量的环境因素,以便采取紧急措施减轻其影响是至关重要的。一项基于社区的横断面研究旨在确定城市移民安置群体中青少年睡眠质量差的患病率,并评估睡眠质量差与相关因素的关系。约有257名15至18岁的青少年参与了这项研究。材料与方法:本研究设计为描述性研究设计,用于评估该市选定学校青少年的睡眠质量。调查员在该市选定的学校里进行了这项研究。该研究的目标人群为10年级性病学生中的青少年。在该市选定的学校学习的青少年。本研究采用非概率目的抽样和简单随机抽样的方法进行样本选择。结果:中度睡眠障碍136例(52.91%),轻度睡眠障碍83例(32.29%),重度睡眠障碍38例(14.78%)。家庭类型、兄弟姐妹数量、在床上学习、学校距离和手机拥有量之间存在很强的关系。年龄、性别、宗教、家庭月收入、居住地、睡眠时间、社交媒体屏幕成瘾时间、上学方式和身体困难与适应问题无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Descriptive Study to Assess the Quality of Sleep among Adolescents in Selected Schools of the City in View to Prepare Information Booklet
Background: It is of utmost importance to understand the repercussions of unhealthy sleep pattern and the environmental factors which affect the sleep quality among adolescents so that urgent actions could be taken to mitigate the effect. A community based cross-sectional study was conducted to determine the prevalence of poor sleep quality among adolescents of an urban resettlement colony and to evaluate the association of poor sleep quality with the correlates. About 257 adolescents aged 15–18 years were involved in the study. Materials and Methods: The research design is a descriptive research design use to assess the quality of sleep among adolescents in selected schools of the city. The investigator conducted the study in selected schools of the city. The targeted population of the study will be adolescent of 10th std students. The adolescents studying at selected schools of the city. The sampling technique use in this study is non-probability purposive sampling for sample and simple random sampling technique for selecting the schools. Result: A 136 (52.91%) have moderate sleep trouble, 83 (32.29%) have light, and 38 (14.78%) have severe. There was a strong relationship between family type, number of siblings, studying in bed, school distance, and mobile phone ownership. Age, gender, religion, monthly family income, place of residence, duration of sleep time, duration of screen addiction social media, mode of travel to school, and physical difficulties were not associated with adjustment problems.
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