本研究的目的旨在討護理人員的睡眠品質、壓力和日夜作息型態之現況及相關之影響因素。本研究採橫斷性研究，以結構式問卷收集資料，使用「匹茲堡睡眠品質量表」(PSQI)、「壓力知覺量表」(PSS)及「日夜作息型態量表」(MEQ)為研究工具，以南部某地區教學醫院護理人員為研究對象，有效樣本為211人。分析結果顯示護理人員PSQI平均得分6.78，主觀睡眠品質差者佔62.1%(PSQI≧5)；婚姻狀況、子女數及工作單位會影響有效睡眠時間；不同工作單位會影響睡眠潛伏期；不同年齡層有睡眠困擾的差異；在職進修及不同工作單位在白天清醒度上有差異；婚姻狀況及在職進修則會影響睡眠品質總得分，顯示在職進修及未婚的護理人員睡眠品質較差。護理人員壓力平均得分30.79，在職進修及擔任護理主管者的壓力較高。護理人員的年齡、工作年資、婚姻狀況、子女數、職級、不同工作單位在日夜作息型態上有差異；年齡愈大者、工作年資愈長者愈偏向雲雀型；未婚者、無子女者以貓頭鷹型居多；已婚者、子女數2人以上者以雲雀型居多。睡眠品質佳者以雲雀型居多，睡眠品質不佳者以貓頭鷹型及蜂鳥型居多。由邏輯斯迴歸分析發現日夜作息型態為影響護理人員睡眠品質的重要預測因子。根據本研究結果提供護理人員及醫療機構主管作為參考，以期降低護理人員的壓力，提昇其睡眠品質，保障病人照護安全，進而達到病人、醫院、醫護人員三方面的最佳利益。 A cross-sectional study was conducted to explore the sleep quality, stress and chronotype of hospital nurses in southern Taiwan, and to determine personal variables-related change in the sleep quality, stress and morningness-eveningness character. Data were collected with structured questionnaire using the Pittsburgh Sleep Quality Index (PSQI), Morningness-Eveningness questionnaire (MEQ) and Perceived Stress Scale (PSS). 211 valid questionnaires were collected. PSQI score was 6.78. 62.1% nurses were poor sleepers (PSQI≧5). Marital status﹐different children number and work unit showed differences in sleep efficiency. There were significant differences in sleep latency and sleep disturbance for work unit and age. On-job Training Program and work units of the nurses affected their daytime alertness and activity. Marital status and On-job Training Program affected their sleep quality. PSS score was 30.79. Nurses in On-job Training program, as well as the administrative work had higher stress level. There was a significant correlation between chronotype and age, work experience, marital status, children numbers, and work unit. The logistic regression analysis showed that the most important predictive factor for sleep quality was chronotype.Our study provided references for medical authorities and shift-working nurses in order to reduce their pressure level, enhance sleep quality, and ensure the safety of patient care, achieving the goal to benefit all the three hands: patients, hospitals, and medical staffs.
