The Trajectories of Sleep and Associated Factors among Junior High School Students: Results from a Panel Study among 7th to 9th Graders
博士 === 國立臺灣大學 === 健康政策與管理研究所 === 101 === Objectives: To investigate the sleep trajectories among 7th to 9th graders and to examine the related factors. Methods: Data from 2,422 students followed from the 7th to 9th grade (from 2007 to 2009) as part of the Child and Adolescent Behaviors in Long-term...
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ndltd-TW-101NTU057430012016-03-23T04:13:45Z http://ndltd.ncl.edu.tw/handle/25008392818129589219 The Trajectories of Sleep and Associated Factors among Junior High School Students: Results from a Panel Study among 7th to 9th Graders 國中生睡眠狀況之變化類型及相關因素探討:七至九年級追蹤資料之分析結果 Linen Lin 林立寧 博士 國立臺灣大學 健康政策與管理研究所 101 Objectives: To investigate the sleep trajectories among 7th to 9th graders and to examine the related factors. Methods: Data from 2,422 students followed from the 7th to 9th grade (from 2007 to 2009) as part of the Child and Adolescent Behaviors in Long-term Evolution (CABLE) Project were used for analysis. The latent class growth model (LCGM) and logistic regression model were utilized in the statistical analysis. Results: 1. The number of nights with insomnia (0.90 to 1.08 within 1 month), the sleep debt (98.58 to 111.29 minutes), and the number of daytime sleepiness (2.31 to 3.84 within 1 month), increased as the years went by from the 7th to 9th grades. 2. The best LCGM for insomnia identified 2 latent classes, the Normal class (93.1%) and the Insomnia class (6.9%). The best LCGM for sleep debt included 2 latent classes, the Less class (55.6%) and the More class (44.4%). The best LCGM for daytime sleepiness identified 2 latent classes, the Normal class (90.9%) and the Sleepy class (9.1%). 3. Individuals with higher odds of being in the Insomnia class were those with Worse or Fair health status, a Depressive tendency, High academic obligations, and Often alcohol consumption. 4. Those with Increasing from moderate academic obligations had higher odds of being in the More sleep debt class. 5. Individuals with higher odds of being in the Sleepy class were those with From overweight to normal BMI, a Depressive tendency, and Usually or Often alcohol consumption. Conclusions and Suggestions: Education policy makers and junior high schools teachers should pay attention to adolescents’ sleep problems as early as possible. Multidimensional adolescent health promotion programs should be implemented and include general health, BMI, depressive tendency, academic obligations, and alcohol consumption. Strategies to improve physical and mental health, learn skills to cope with stress, and decrease the frequency of alcohol consumption should be included in intervention projects to prevent sleep problems among junior high school students. 李蘭 2013 學位論文 ; thesis 172 zh-TW |
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博士 === 國立臺灣大學 === 健康政策與管理研究所 === 101 === Objectives: To investigate the sleep trajectories among 7th to 9th graders and to examine the related factors. Methods: Data from 2,422 students followed from the 7th to 9th grade (from 2007 to 2009) as part of the Child and Adolescent Behaviors in Long-term Evolution (CABLE) Project were used for analysis. The latent class growth model (LCGM) and logistic regression model were utilized in the statistical analysis. Results: 1. The number of nights with insomnia (0.90 to 1.08 within 1 month), the sleep debt (98.58 to 111.29 minutes), and the number of daytime sleepiness (2.31 to 3.84 within 1 month), increased as the years went by from the 7th to 9th grades. 2. The best LCGM for insomnia identified 2 latent classes, the Normal class (93.1%) and the Insomnia class (6.9%). The best LCGM for sleep debt included 2 latent classes, the Less class (55.6%) and the More class (44.4%). The best LCGM for daytime sleepiness identified 2 latent classes, the Normal class (90.9%) and the Sleepy class (9.1%). 3. Individuals with higher odds of being in the Insomnia class were those with Worse or Fair health status, a Depressive tendency, High academic obligations, and Often alcohol consumption. 4. Those with Increasing from moderate academic obligations had higher odds of being in the More sleep debt class. 5. Individuals with higher odds of being in the Sleepy class were those with From overweight to normal BMI, a Depressive tendency, and Usually or Often alcohol consumption. Conclusions and Suggestions: Education policy makers and junior high schools teachers should pay attention to adolescents’ sleep problems as early as possible. Multidimensional adolescent health promotion programs should be implemented and include general health, BMI, depressive tendency, academic obligations, and alcohol consumption. Strategies to improve physical and mental health, learn skills to cope with stress, and decrease the frequency of alcohol consumption should be included in intervention projects to prevent sleep problems among junior high school students.
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author2 |
李蘭 |
author_facet |
李蘭 Linen Lin 林立寧 |
author |
Linen Lin 林立寧 |
spellingShingle |
Linen Lin 林立寧 The Trajectories of Sleep and Associated Factors among Junior High School Students: Results from a Panel Study among 7th to 9th Graders |
author_sort |
Linen Lin |
title |
The Trajectories of Sleep and Associated Factors among Junior High School Students: Results from a Panel Study among 7th to 9th Graders |
title_short |
The Trajectories of Sleep and Associated Factors among Junior High School Students: Results from a Panel Study among 7th to 9th Graders |
title_full |
The Trajectories of Sleep and Associated Factors among Junior High School Students: Results from a Panel Study among 7th to 9th Graders |
title_fullStr |
The Trajectories of Sleep and Associated Factors among Junior High School Students: Results from a Panel Study among 7th to 9th Graders |
title_full_unstemmed |
The Trajectories of Sleep and Associated Factors among Junior High School Students: Results from a Panel Study among 7th to 9th Graders |
title_sort |
trajectories of sleep and associated factors among junior high school students: results from a panel study among 7th to 9th graders |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/25008392818129589219 |
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