Abstract
본 연구는 노인여성의 수면의 질 영향요인을 확인하기 위해 실시된 연구로 지역사회 거주 60세 이상 노인여성 198명을 대상으로 연구가 시행되었다. 연구도구로 수면의 질 도구는 Buysse등(1989)이 개발한 PSQI(Pittsburgh sleep quality index), 요실금은 Jackson 등(1996)에 의해 개발된 배뇨증상 도구가 사용되었고, 개별면접을 통하여 자료 수집 하였으며, 수집된 자료는 SPSS ver. 18.0을 이용하여 통계처리를 하였다. 연구결과 노인여성의 수면의 질 PSQI 점수는 <TEX>$7.09{\pm}4.29$</TEX>점이었으며, 67.7%이 수면 장애를 겪고 있었다. PSQI의 하위영역에서 주관적인 수면의 질, 수면잠재기, 수면방해에서 수면의 질이 낮았고, 반면 습관적인 수면의 효율성, 수면제 등과 같은 약물 복용, 낮 동안의 기능장애는 상대적으로 경미한 것으로 나타났다. 노인여성의 교육정도, 경제상태, 주관적 건강상태, 가족관계, 규칙적인 운동 등에 따라 수면의 질에 차이가 있었고, 연령, 종교, 직업, 커피섭취 등은 수면의 질에 차이를 나타내지 않았다. 연구대상자의 수면의 질 척도 PSQI와 요실금은 순상관관계가 있었고(r=.51, p=.000), PSQI의 하위영역 중 수면방해 요인과 요실금의 상관성이 가장 높았다(r=.465, p=.001). 마지막으로 수면의 질에 영향을 미치는 요인으로 통계적으로 유의하게 나타난 변수는 요실금과 주관적 건강상태이었고 이들 변수의 설명력은 31%이었다. The purpose of this study was to examine the factor of the quality of elderly women's sleep. The subjects in this study were 198 elderly women who were at the age of 60 and up. One instrument used to assess their quality of sleep was Buysse, et. al.(1989)'s Pittsburgh Sleep Quality Index(PSQI), and the other used to check their urinary incontinence was Jackson, et. al.(1996)'s Urination Symptom Inventory. The collected data were analyzed by the statistical package SPSS 18.0. The elderly women got <TEX>$7.09{\pm}4.29$</TEX> in the quality of sleep of the PSQI, and 67.7 percent suffered from sleep disorders. Among the subfactors of the PSQI, their subjective quality of sleep was low, and the quality of sleep during, sleep latency was low as well. And their sleep disturbance was great. In contrast, the effectiveness of their habitual sleep was relatively good, and they didn't take medicine such as a sleep pill a lot, and their functional sleep disorder in the daytime wasn't great. There were differences in the quality of sleep according to their education, financial state, self-rated health status and family relations, and whether they worked out on a regular basis or not made a difference to that as well. No differences were found according to age, religion, occupation and having a coffee or not. There was a positive correlation between their quality of sleep in the PSQI and urinary incontinence(r=.51, p=.000). Out of the subfactors of the PSQI, the sleep disturbance factor was most closely linked to urinary incontinence(r=.465, p=.001). Finally, urinary incontinence and subjective health status were identified as the variables that exerted a statistically significant influence on the quality of sleep. Those variables made a 31% prediction of it.
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