Chia Nan University of Pharmacy & Science Institutional Repository:Item 310902800/31957
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    Title: 影響外勤消人員睡眠品質因素之研究以台南市外勤消防人員為例
    Factors affecting the sleep quality of firefighters:Take the firefighters in Tainan as an example
    Authors: 黃裕翔
    Contributors: 職業安全衛生系
    高清雲
    Keywords: 睡眠品質
    消防人員
    匹茲堡睡眠品質量表
    sleep quality
    firefighters
    Pittsburgh sleep quality table
    Date: 2018
    Issue Date: 2019-02-27 16:49:54 (UTC+8)
    Abstract: 良好的睡眠是維持身心健康的因子之一,消防工作潛藏高度風險,需要有良好的專注力與精神以應變任何狀況發生,但由於輪班與勤務之影響,導致睡眠品質不良是消防人員常見的問題之一,本研究目的針對臺南市政府外勤人員進行調查,以了解其睡眠狀況,以提供參考。
    本研究採用問卷調查方式,使用匹茲堡睡眠品質量表(Pittsburgh Sleep Quality Index, PSQI)作為主要量表,參加者為任職於台南市政府消防局之外勤消防隊員。共發出150份問卷,回收109份,有效問卷109份,其中男性106份(97.2%),女性3份(2.8%)。
    研究結果指出,PSQI平均分數為8.07,睡眠品質不佳為79.8%,而由性別、年齡、婚姻、工作年資、職位、飲酒、吸菸、運動、BMI值及勤務影響等構面,使用敘述性統計、T檢定、變異數分析等工具與睡眠品質七大項作分析並檢視其相關性。
    依據研究結果得知:學歷、婚姻、年齡、年資、運動習慣、飲酒習慣、BMI值與勤務影響方面有達顯著差異水準。
    Good sleep is one of the factors to maintain physical and mental health. Firefighting work has high risks. It needs good concentration and spirit to respond to any situation. However, due to the impact of shifts and service, poor sleep quality is a common problem for firefighters. For one of the purposes of this study, a survey was conducted on the field staff of the Tainan Municipal Government to understand their sleep status for reference.
    This study used a questionnaire survey using the Pittsburgh Sleep Quality Index (PSQI) as the main scale. Participants are firefighters of the Tainan Municipal Government Fire Department. A total of 150 questionnaires were sent out and 109 valid questionnaires were obtained. Among the participants of the 109 valid questionnaires, 106 are males (97.2%) and 3 are females (2.8%).
    The results of the study indicated that the average score of PSQI was 8.07, and the poor sleep quality was 79.8%.
    Gender, age, marriage, working years, position, drinking, smoking, exercise, BMI value and service impact are considered to be factors influencing sleep quality. Desriptive statistics, T-test, variance analysis were used to analyze the data to understand the relevance of sleep quality to these factors.
    Research results show that, academic qualifications, marriage, age, seniority, exercise habits, drinking habits, BMI values, and service impact have significant differences in terms of sleep quality.
    Relation: 電子全文公開日期:2018-09-04,學年度:106, 56頁
    Appears in Collections:[Dept. of Occupational Safety] Dissertations and Theses

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