신체 구성비와 인지기능과의 연관성 : 생체전기임피던스법을 이용한 연구
Relationship between Body Composition and Cognitive Function : Using Bioelectrical Impedance Analysis
2
조회
0
다운로드
1
인용
0
참고문헌
초록
Objective:Body composition is measured using bioelectrical impedance analysis (BIA), and correlation between the result of BIA and cognitive function is analyzed. Methods:A total of 118 elderly (46 male, 72 female) were recruited. They were divided into three groups; normal (n=33), mild cognitive impairment (n=42), and Alzheimer’s dementia (n=43) according to the diagnostic criteria. Skeletal muscle mass, body fat mass, and fat-free mass were measured using a BIA device, and were converted to the ratio of body weight. All participants underwent Korean version of Mini-Mental State Examination (MMSE-K). Results:In pearson correlation analysis, skeletal muscle percentage (SMP) and fat-free mass percentage (FFMP) were positively correlated with MMSE-K score (r=0.309, p=0.001; r=0.245, p=0.008), and body fat percentage was negatively correlated (r= -0.258, p=0.005). In multiple regression analysis, SMP (β=2.012, t=4.457, p<0.001) and FFMP (β=-1.733, t=-3.838, p<0.001) were selected as the best predictors of changes in MMSE-K score (R2=0.198). Conclusion:Reduced skeletal muscle and increased body fat correlate with decreased cognitive function, suggesting the need for prevention of frailty and early diagnosis of cognitive impairment.
Abstract
Objective:Body composition is measured using bioelectrical impedance analysis (BIA), and correlation between the result of BIA and cognitive function is analyzed. Methods:A total of 118 elderly (46 male, 72 female) were recruited. They were divided into three groups; normal (n=33), mild cognitive impairment (n=42), and Alzheimer’s dementia (n=43) according to the diagnostic criteria. Skeletal muscle mass, body fat mass, and fat-free mass were measured using a BIA device, and were converted to the ratio of body weight. All participants underwent Korean version of Mini-Mental State Examination (MMSE-K). Results:In pearson correlation analysis, skeletal muscle percentage (SMP) and fat-free mass percentage (FFMP) were positively correlated with MMSE-K score (r=0.309, p=0.001; r=0.245, p=0.008), and body fat percentage was negatively correlated (r= -0.258, p=0.005). In multiple regression analysis, SMP (β=2.012, t=4.457, p<0.001) and FFMP (β=-1.733, t=-3.838, p<0.001) were selected as the best predictors of changes in MMSE-K score (R2=0.198). Conclusion:Reduced skeletal muscle and increased body fat correlate with decreased cognitive function, suggesting the need for prevention of frailty and early diagnosis of cognitive impairment.
참고문헌 (37)
- Yanovski SZ, "Bioelectrical impedance analysis in body composition measurement: National Institutes of Health Technology Assessment Conference Statement", Am J Clin Nutr, 64(3 Suppl), pp.524S~532S (1996)[DOI]
- Cruz-Jentoft AJ, "Sarcopenia: European consensus on definition and diagnosis: report of the European Working Group on Sarcopenia in Older People", Age Ageing, 39, pp.412~423 (2010)[DOI]
- Shatenstein B, "Dietary intervention in older adults with early-stage Alzheimer dementia: early lessons learned", J Nutr Health Aging, 12, pp.461~469 (2008)[DOI]
- Gillette-Guyonnet S, "Weight loss in Alzheimer disease", Am J Clin Nutr, 71, pp.637S~642S (2000)[DOI]
- "Can J Appl Physiol", 2001, 90~101, 10.1139[DOI]
- Ganguli M, "Alzheimer disease and mortality: a 15-year epidemiological study", Arch Neurol, 62, pp.779~784 (2005)[DOI]
- Kyle UG, "Age-related differences in fat-free mass, skeletal muscle, body cell mass and fat mass between 18 and 94 years", Eur J Clin Nutr, 55, pp.663~672 (2001)[DOI]
- Buffa R, "Lower lean mass and higher percent fat mass in patients with Alzheimer's disease", Exp Gerontol, 58, pp.30~33 (2014)[DOI]
- Burns JM, "Reduced lean mass in early Alzheimer disease and its association with brain atrophy", Arch Neurol, 67, pp.428~433 (2010)
- 정희원, "노인 건강검진 수검자에서 골격근량과 사망률의 관계", 대한내과학회지, 85(2), pp.167~173 (2013), 대한내과학회[DOI]
- Perez-Zepeda MU, "Sarcopenia and post-hospital outcomes in older adults: a longitudinal study", Arch Gerontol Geriatr, 69, pp.105~109 (2017)[DOI]
- Cook Z, "Use of BMI in the assessment of undernutrition in older subjects: reflecting on practice", Proc Nutr Soc, 64, pp.313~317 (2005)[DOI]
- McKhann GM, "The diagnosis of dementia due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease", Alzheimers Dement, 7, pp.263~269 (2011)[DOI]
- Petersen RC, "Mild cognitive impairment as a diagnostic entity", J Intern Med, 256, pp.183~194 (2004)[DOI]
- "J Korean Neuropsychiatr Assoc", 1989, 508~513
- Scheltens P, "Structural magnetic resonance imaging in the practical assessment of dementia: beyond exclusion", Lancet Neurol, 1, pp.13~21 (2002)[DOI]
- Apostolova LG, "3D comparison of hippocampal atrophy in amnestic mild cognitive impairment and Alzheimer's disease", Brain, 129, pp.2867~2873 (2006)[DOI]
- Buchman AS, "Loss of motor function in preclinical Alzheimer's disease", Expert Rev Neurother, 11, pp.665~676 (2011)[DOI]
- Zadik Z, "The influence of age on the 24-hour integrated concentration of growth hormone in normal individuals", J Clin Endocrinol Metab, 60, pp.513~516 (1985)[DOI]
- Cleasby ME, "Insulin resistance and sarcopenia: mechanistic links between common co-morbidities", J Endocrinol, 229, pp.R67~R81 (2016)[DOI]
- Steen E, "Impaired insulin and insulin-like growth factor expression and signaling mechanisms in Alzheimer's disease--is this type 3 diabetes?", J Alzheimers Dis, 7, pp.63~80 (2005)[DOI]
- Sapolsky RM, "Prolonged glucocorticoid exposure reduces hippocampal neuron number: implications for aging", J Neurosci, 5, pp.1222~1227 (1985)[DOI]
- Sapolsky RM, "Do glucocorticoid concentrations rise with age in the rat?", Neurobiol Aging, 13, pp.171~174 (1992)[DOI]
- Miller BS, "A quantitative tool to assess degree of sarcopenia objectively in patients with hypercortisolism", Surgery, 150, pp.1178~1185 (2011)[DOI]
- Lupien SJ, "Cortisol levels during human aging predict hippocampal atrophy and memory deficits", Nat Neurosci, 1, pp.69~73 (1998)[DOI]
- Lara VP, "High cortisol levels are associated with cognitive impairment no-dementia (CIND) and dementia", Clin Chim Acta, 423, pp.18~22 (2013)[DOI]
- Lee BK, "Associations of salivary cortisol with cognitive function in the Baltimore memory study", Arch Gen Psychiatry, 64, pp.810~818 (2007)[DOI]
- Bodine SC, "Identification of ubiquitin ligases required for skeletal muscle atrophy", Science, 294, pp.1704~1708 (2001)[DOI]
- Gomes MD, "Atrogin-1, a muscle-specific F-box protein highly expressed during muscle atrophy", Proc Natl Acad Sci U S A, 98, pp.14440~14445 (2001)[DOI]
- Perry G, "Ubiquitin is detected in neurofibrillary tangles and senile plaque neurites of Alzheimer disease brains", Proc Natl Acad Sci U S A, 84, pp.3033~3036 (1987)[DOI]
- Keller JN, "Impaired proteasome function in Alzheimer's disease", J Neurochem, 75, pp.436~439 (2000)
- Ryan AS, "Insulin action after resistive training in insulin resistant older men and women", J Am Geriatr Soc, 49, pp.247~253 (2001)[DOI]
- Houmard JA, "Effect of the volume and intensity of exercise training on insulin sensitivity", J Appl Physiol (1985), 96, pp.101~106 (2004)[DOI]
- Solerte SB, "Nutritional supplements with oral amino acid mixtures increases whole-body lean mass and insulin sensitivity in elderly subjects with sarcopenia", Am J Cardiol, 101, pp.69E~77E (2008)
- Ferrando AA, "Inactivity amplifies the catabolic response of skeletal muscle to cortisol", J Clin Endocrinol Metab, 84, pp.3515~3521 (1999)
- Paddon-Jones D, "Role of dietary protein in the sarcopenia of aging", Am J Clin Nutr, 87, pp.1562S~1566S (2008)[DOI]
- Deutz NE, "Protein intake and exercise for optimal muscle function with aging: recommendations from the ESPEN Expert Group", Clin Nutr, 33, pp.929~936 (2014)[DOI]
