노인성 우울증 환자에서 수면 장애와 인지기능 저하의 관련성
Relationship between Sleep Disturbances and Cognitive Impairments in Older Adults with Depression
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목 적：노인성 우울증에서의 수면장애와 인지기능 저하의 동반은 흔히 나타나는 증상이다. 본 연구의 목적은 지역 사회에 살고 있는 노인 우울증 환자에서 나타나는 수면장애와인지기능 저하의 양상을 파악하고 수면장애가 인지기능 저하와의 상관관계를 살펴보는 것이다. 방 법：본 연구의 대상자들은 지역사회에 거주하고 치매등의 인지기능 장애를 가지고 있지 않으며 수면 및 기분, 인지기능에 영향을 주는 정신과 약물을 복용하고 있지 않은282명의 65세 이상 노인으로 하였다. 우울증의 평가를 위해노인성 우울척도(Geriatric depression Scale, GDS)를 평가하였으며 GDS 점수에 따라 10점 미만을 대조군으로 하였고 10점 이상 17점 미만을 경도 우울증군, 17점 이상을 중증도 우울증군으로 분류하였다. 모든 대상자들에게 1회의 야간수면다원검사를 시행하여 객관적인 수면지표를 얻었고 피츠버그 수면의 질 지수(PSQI)를 평가하여 주관적인 수면의 질을 평가하였으며 CERAD-K 신경심리검사를 통하여 인지기능을 평가하였다. 결 과：연구 대상자들의 평균연령, 성별, 내과적 질환 여부는 세 군 간에 유의한 차이가 없었으나 교육 연한은 대조군에 비해 중증도 우울증군에서 유의하게 낮은 결과를 보였다(p=0.015). 수면다원검사와 피츠버그 수면의 질 지수를 통하여 얻어진 수면지표들 중 REM수면시간, 무호흡-저호흡 지수, 산소 탈포화 지수, PSQI 점수는 세 군 간에 유의한 차이가 있었다(모든 p＜0.05). 신경인지기능검사 결과에서는 단어목록재인검사, 스트룹 색깔 및 단어검사, 벤톤 시각 기억 검사- A, 길 만들기 검사-B에서 세 군 간에 통계적으로 유의한 차이가 나타났다(모든 p＜0.05). 우울증군에서의 수면장애와 인지기능 저하 간에 상호 인과 관계를 알아보기 위한 Pearson 상관분석과 단계적 다중선형회귀분석 결과 수면장애와 인지기능 저하 간에 상호 관련성은 없는 것으로 나타났다. 결 론：본 연구에서 노인성 우울증 환자에서 나타나는 수면무호흡증을 제외한 수면장애는 인지기능 저하에 직접적인 영향을 미치지는 않는 것으로 나타났다. 이러한 결과는 노령화에 따른 수면장애 및 수면구조의 변화와 연령, 교육 수준 등의 영향으로 인한 것으로 보인다. 그러나 노인 인구에서의 수면장애의 높은 유병률과 잠재적으로 인지기능에 미칠 수 있는 부정적인 영향력을 고려할 때 후속 연구를 통한 노인성 우울증 환자에서의 수면장애와 인지기능 저하의 상호 관련성에 대한 논의가 요구된다.
Abstract
Objectives: Depression, sleep complaints and cognitive impairments are commonly observed in the elderly. Elderly subjects with depressive symptoms have been found to show both poor cognitive performances and sleep disturbances. However, the relationship between sleep complaints and cognitive dysfunction in elderly depression is not clear. The aim of this study is to identify the association between sleep disturbances and cognitive decline in late-life depression. Methods: A total of 282 elderly people who underwent nocturnal polysomnography in a sleep laboratory were enrolled in the study. The Korean version of the Neuropsychological Assessment Battery developed by the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD-K) was applied to evaluate cognitive function. Depressive symptoms were assessed with the geriatric depression scale (GDS) and subjective sleep quality was measured using the Pittsburg sleep quality index (PSQI). Results: The control group (GDS≤9) when compared with mild (10≤GDS≤16) and severe (17≤GDS) depression groups, had significantly different scores in the Trail making test part B (TMT-B), Benton visual retention test part A (BVRT-A), and Stroop color and word test (SCWT)(all tests p＜0.05). The PSQI score, REM sleep duration, apnea-hypopnea index and oxygen desaturation index were significantly different across the three groups (all indices, p＜0.05). A stepwise multiple regression model showed that educational level, age and GDS score were predictive for both TMT-B time (adjusted R2=35.6%, p＜0.001) and BVRT-A score (adjusted R2=28.3%, p＜0.001). SCWT score was predicted by educational level, age, apnea-hypopnea index (AHI) and GDS score (adjusted R2=20.6%, p＜0.001). Poor sleep quality and sleep structure alterations observed in depression did not have any significant effects on cognitive deterioration. Conclusion: Older adults with depressive symptoms showed mild sleep alterations and poor cognitive performances. However, we found no association between sleep disturbances (except sleep apnea) and cognitive difficulties in elderly subjects with depressive symptoms. It is possible that the impact of sleep disruptions on cognitive abilities was hindered by the confounding effect of age, education and depressive symptoms.
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