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  1. Home
  2. College of Health Care and Management/健康管理學院
  3. Department of Medical Informatics/醫學資訊學系
  4. 睡眠多項生理檢查與憂鬱程度之關係探討
 
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睡眠多項生理檢查與憂鬱程度之關係探討

Date Issued
2018
Author(s)
江薏婷
Yi-Ting Chiang
Advisor
賴慶祥
URI
https://handle.ncl.edu.tw/11296/atrjpz
https://scholars.csmu.edu.tw/handle/123456789/21195
Abstract
睡眠是很重要生理的功能,然而現代人的睡眠障礙盛行率高。睡眠品質優劣反應個人身心狀況。本研究目的主要為探討睡眠品質及其相關因素中,客觀之睡眠多項生理檢查及主觀艾普沃斯嗜睡量表與憂鬱程度之關係。本研究採回溯性研究,以某醫學中心之睡眠檢查部門2016年9月~2018年2月之病患取樣201名,具完整PSG及ESS資料,並考量患者生理特徵,憂鬱程度則採用CUDOS憂鬱量表之總分。結果:經由SPSS統計分析顯示,睡眠多項生理檢查患者中,年齡、體重、BMI、血壓、睡眠呼吸中止指數與憂鬱程度具顯著負相關(p<0.05),睡眠潛伏期及ESS與憂鬱程度具顯著正相關(p<0.05),而女性憂鬱程度顯著高於男性。若以性別、年齡、體重、AHI、睡眠潛伏期及ESS為自變項,以憂鬱程度為應變數,經羅吉斯廻歸分析顯示,憂鬱程度之關鍵影響因子有ESS (p=0.007)、睡眠潛伏期(p=0.024)、睡眠呼吸中止指數(p=0.029)及性別(p=0.007)。由此顯示,有主客觀睡眠障礙指標是導致憂鬱之主要因素,改善睡眠潛伏期使患者能於就寢時儘快入眠應為有效之對策。
Sleep is a very important physiological function, but the prevalence of sleep disorders in modern people is high. The quality of sleep reflects the physical and mental condition of the individual. The purpose of this study was to investigate the relationship between sleep quality and related factors, objective sleep multiple physiological examinations and subjective Epworth sleepiness scale and depression. This study was retrospectively studied. A sample of 201 patients from September 2016 to February 2018 in the sleep examination department of a medical center had complete PSG and ESS data, and considered the physiological characteristics of the patients. The degree of depression was CUDOS scale of the score.RESULTS: According to statistical analysis by SPSS, there was a significant negative correlation (p<0.05) in age, weight, BMI, blood pressure, AHI and depression degree among patients with polysomnography (p<0.05), there was a significant positive correlation between sleep latency, ESS and depression (p<0.05).Women are significantly more depressed than men. The analysis of logistic analysis shows that the key influence factors of depression are ESS (p=0.007), sleep latency (p=0.024), AHI (p=0.029), and gender (p=0.007), if sex, age, weight, AHI, sleep latency and ESS are self-variant, and the degree of depression is the number of strains. This shows that the subjective and objective sleep disorder indicators are the main factors leading to depression, and improving the sleep latency allows patients to fall asleep as soon as possible.
Subjects
憂鬱程度
艾普沃斯嗜睡量表
睡眠多項生理檢查
羅吉斯迴歸
depression
Epworth sleepiness scale
polysomnography
logistic regression
Type
thesis
File(s)
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106CSMU5585003-001.zip

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992.01 KB

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Checksum

(MD5):a891d4506e1a70363383a8672537dadc

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