증상 안정기의 노년기 우울증에서 심혈관 위험과 인지기능 장애 간의 관련성 : 예비연구
Cognitive Impairments in Clinically Stable Late-Life Depression :Relationship to Cardiovascular Risk : A Pilot Study
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Objective:The purpose of this study was to test the hypothesis that cardiovascular risk is associated with cognitive impairments in clinically stable late-life depression. Methods:A total of 59 clinically stable late-life depression patients over age 60 were enrolled in a cross-sectional study. Evaluation tools used in this study include Hamilton Rating Scale for Depression, Geriatric Depression Scale, State-Trait Anxiety Inventory, the Framingham general cardiovascular disease risk profile and the cognitive function battery designed for this study. Correlation analysis, analysis of variance and analysis of covariance were performed. Results:Patients with higher cardiovascular risk performed significantly poorer in the domains of executive function and short-term or long-term memory. In models adjusted for age, sex, education, 10% higher cardiovascular risk was associated with poorer executive function. Conclusion:Our findings suggested that cardiovascular risk could be a significant factor associated with poor executive function in clinically stable late-life depression and the management which is necessary as a component of treatment planning. This pilot study provided good prospects for future studies to document this relationship on larger samples.
Abstract
Objective:The purpose of this study was to test the hypothesis that cardiovascular risk is associated with cognitive impairments in clinically stable late-life depression. Methods:A total of 59 clinically stable late-life depression patients over age 60 were enrolled in a cross-sectional study. Evaluation tools used in this study include Hamilton Rating Scale for Depression, Geriatric Depression Scale, State-Trait Anxiety Inventory, the Framingham general cardiovascular disease risk profile and the cognitive function battery designed for this study. Correlation analysis, analysis of variance and analysis of covariance were performed. Results:Patients with higher cardiovascular risk performed significantly poorer in the domains of executive function and short-term or long-term memory. In models adjusted for age, sex, education, 10% higher cardiovascular risk was associated with poorer executive function. Conclusion:Our findings suggested that cardiovascular risk could be a significant factor associated with poor executive function in clinically stable late-life depression and the management which is necessary as a component of treatment planning. This pilot study provided good prospects for future studies to document this relationship on larger samples.
참고문헌 (50)
- O’Hara R, "Clinical neuropsychology:a pocket handbook for assessment", pp.189~209 (2006), American Psychological Association
- Bhalla RK, "Patterns of mild cognitive impairment after treatment of depression in the elderly", Am J Geriatr Psychiatry, 17, pp.308~316 (2009)
- Steenland K, "Late-life depression as a risk factor for mild cognitive impairment or Alzheimer’s disease in 30 US Alzheimer’s disease centers", J Alzheimers Dis, 31, pp.265~275 (2012)
- Dybedal GS, "Neuropsychological functioning in late-life depression", Front Psychol, 4, pp.381~ (2013)
- Sheline YI, "Cognitive function in late life depression: relationships to depression severity, cerebrovascular risk factors and processing speed", Biol Psychiatry, 60, pp.58~65 (2006)
- Butters MA, "Pathways linking late-life depression to persistent cognitive impairment and dementia", Dialogues Clin Neurosci, 10, pp.345~357 (2008)
- Köhler S, "The pattern and course of cognitive impairment in late-life depression", Psychol Med, 40, pp.591~602 (2010)
- Butters MA, "Changes in cognitive functioning following treatment of late-life depression", Am J Psychiatry, 157, pp.1949~1954 (2000)
- Bora E, "Cognitive impairment in euthymic major depressive disorder : a meta-analysis", Psychol Med, 43, pp.2017~2026 (2013)
- Koenig AM, "Neuropsychological functioning in the acute and remitted States of late-life depression", J Alzheimers Dis, 45, pp.175~185 (2015)
- Barch DM, "Cognitive improvement following treatment in latelife depression : relationship to vascular risk and age of onset", Am J Geriatr Psychiatry, 20, pp.682~690 (2012)
- Luijendijk HJ, "Cerebrovascular risk factors and incident depression in community-dwelling elderly", Acta Psychiatr Scand, 118, pp.139~148 (2008)
- Wilkins CH, "Late life depression with cognitive impairment : evaluation and treatment", Clin Interv Aging, 4, pp.51~57 (2009)
- Mast BT, "Vascular disease and future risk of depressive symptomatology in older adults: findings from the Health, Aging, and Body Composition study", Biol Psychiatry, 64, pp.320~326 (2008)
- Kaffashian S, "Predictive utility of the Framingham general cardiovascular disease risk profile for cognitive function : evidence from the Whitehall II study", Eur Heart J, 32, pp.2326~2332 (2011)
- Mezuk B, "Depression and type 2 diabetes over the lifespan : a meta-analysis", Diabetes Care, 31, pp.2383~2390 (2008)
- Williams JB, "A structured interview guide for the Hamilton Depression Rating Scale", Arch Gen Psychiatry, 45, pp.742~747 (1988)
- Jung IK, "A Reliability and Validity Study of Geriatric Depression Scale", J Korean Neuropsychiatr Assoc, 36, pp.103~112 (1997)
- Lee KS, "Factor Analysis of the Korean Version of the State-Trait Anxiety Inventory n Patients with Anxiety Disorders", Anxiety mood, 4, pp.104~110 (2008)
- D’Agostino RB Sr, "General cardiovascular risk profile for use in primary care : the Framingham Heart Study", Circulation, 117, pp.743~753 (2008)
- American Diabetes Association, "Diagnosis and classification of diabetes mellitus", Diabetes Care, 37(Suppl 1), pp.S81~S90 (2014)
- 안현정, "Seoul Neuropsychological Screening Battery-Dementia Version (SNSB-D): A Useful Tool for Assessing and Monitoring Cognitive Impairments in Dementia Patients", Journal of Korean Medical Science, 25(7), pp.1071~1076 (2010), 대한의학회
- 김호영, "노인 기억장애 검사(Elderly Memory-disorder Scale)의 검사-재검사에서 변화의 유의성", 한국심리학회지:일반, 29(3), pp.441~460 (2010), 한국심리학회
- Chey JY, "Elderly memory disorder scale", pp.10~15 (2007), Hakjisa
- Bossers WJ, "Recommended measures for the assessment of cognitive and physical performance in older patients with dementia : a systematic review", Dement Geriatr Cogn Dis Extra, 2, pp.589~609 (2012)
- Kim H, "Naming deficits in patients with dementia of the Alzheimer type : Error analysis of korean version-Boston naming test", J Korean Neurol Assoc, 15, pp.1012~1021 (1997)
- 박선희, "노인을 위한 단순 Rey 도형 검사 수행에 미치는 연령 및 교육의 영향", 한국심리학회지:일반, 30(1), pp.99~115 (2011), 한국심리학회
- 김민경, "The Clock Drawing Test as a General Cognitive Function Screening Tool for Dementia: Quantitative and Qualitative Analyses", Korean Journal of Clinical Psychology, 30(4), pp.943~961 (2011), 한국임상심리학회
- "Wilson PWF"[URL]
- Stone NJ, "2013 ACC", AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report of the American College of Cardiology, Circulation, pp.2014, 129(25 Suppl 2)[DOI]
- James PA, "2014 evidence-based guideline for the management of high blood pressure in adults : report from the panel members appointed to the Eighth Joint National Committee(JNC 8)", JAMA, 311, pp.507~520 (2014)
- Gardner JD, "Alcohol effects on cardiac function", Compr Physiol, 5, pp.791~802 (2015)
- Horvat P, "Alcohol consumption, drinking patterns, and cognitive function in older Eastern European adults", Neurology, 84, pp.287~295 (2015)
- Beaudreau SA, "The association of anxiety and depressive symptoms with cognitive performance in community-dwelling older adults", Psychol Aging, 24, pp.507~512 (2009)
- 박광희, "우울정상노인과 우울노인의 인지기능저하에 미치는 위험요인 비교", 한국콘텐츠학회 논문지, 13(7), pp.301~310 (2013), 한국콘텐츠학회[DOI]
- Kalaria RN, "Cerebrovascular disease and mechanisms of cognitive impairment : evidence from clinicopathological studies in humans", Stroke, 43, pp.2526~2534 (2012)
- Alexopoulos GS, "‘Vascular depression’ hypothesis", Arch Gen Psychiatry, 54, pp.915~922 (1997)
- Musselman DL, "Platelet activation and secretion in patients with major depression, thoracic aortic atherosclerosis, or renal dialysis treatment", Depress Anxiety, 15, pp.91~101 (2002)
- Thomas AJ, "Depression and vascular disease:what is the relationship?", J Affect Disord, 79, pp.81~95 (2004)
- Camus V, "Geriatric depression and vascular diseases: what are the links?", J Affect Disord, 81, pp.1~16 (2004)
- Vogelzangs N, "Hypercortisolemic depression is associated with the metabolic syndrome in late-life", Psychoneuroendocrinology, 32, pp.151~159 (2007)
- Sheline YI, "Regional white matter hyperintensity burden in automated segmentation distinguishes late-life depressed subjects from comparison subjects matched for vascular risk factors", Am J Psychiatry, 165, pp.524~532 (2008)
- Murata T, "MRI white matter hyperintensities, (1)H-MR spectroscopy and cognitive function in geriatric depression: a comparison of earlyand late-onset cases", Int J Geriatr Psychiatry, 16, pp.1129~1135 (2001)
- Seo SW, "Cardiovascular risk factors cause cortical thinning in cognitively impaired patients: relationships among cardiovascular risk factors, white matter hyperintensities, and cortical atrophy", Alzheimer Dis Assoc Disord, 26, pp.106~112 (2012)
- Alexopoulos GS, "The vascular depression hypothesis: 10 years later", Biol Psychiatry, 60, pp.1304~1305 (2006)
- Chan RC, "Assessment of executive functions : review of instruments and identification of critical issues", Arch Clin Neuropsychol, 23, pp.201~216 (2008)
- Manning KJ, "Executive functioning complaints and escitalopram treatment response in late-life depression", Am J Geriatr Psychiatry, 23, pp.440~445 (2015)
- Taylor SF, "Isolation of specific interference processing in the Stroop task : PET activation studies", Neuroimage, 6, pp.81~92 (1997)
- Baldo JV, "Role of frontal versus temporal cortex in verbal fluency as revealed by voxel-based lesion symptom mapping", J Int Neuropsychol Soc, 12, pp.896~900 (2006)
- Honey GD, "Effects of verbal working memory load on corticocortical connectivity modeled by path analysis of functional magnetic resonance imaging data", Neuroimage, 17, pp.573~582 (2002)
