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요양병원에 입원한 경도 인지장애 노인의 자율신경 기능, 타액 코티졸과 신체활동 정도가 인지기능에 미치는 영향: Neurovisceral Integration Model 기반
Influences of Autonomic Function, Salivary Cortisol and Physical Activity on Cognitive Functions in Institutionalized Older Adults with Mild Cognitive Impairment: Based on Neurovisceral Integration Model 원문보기

Journal of Korean academy of nursing = 대한간호학회지, v.51 no.3, 2021년, pp.294 - 304  

서민희 (인하대학교 의과대학 간호학과)

Abstract AI-Helper 아이콘AI-Helper

Purpose: This study aimed to investigate objectively measured physical activity (PA) in institutionalized older adults with mild cognitive impairment (MCI) and to elucidate the influence of autonomic nervous function, salivary cortisol, and PA on cognitive functions based on neurovisceral integratio...

주제어

참고문헌 (50)

  1. Roberts R, Knopman DS. Classification and epidemiology of MCI. Clinics in Geriatric Medicine. 2013;29(4):753-772. https://doi.org/10.1016/j.cger.2013.07.003 

  2. Gonzalez-Colaco Harmand M, Meillon C, Rullier L, Avila-Funes JA, Bergua V, Dartigues JF, et al. Cognitive decline after entering a nursing home: A 22-year follow-up study of institutionalized and noninstitutionalized elderly people. Journal of the American Medical Directors Association. 2014;15(7):504-508. https://doi.org/10.1016/j.jamda.2014.02.006 

  3. Maseda A, Balo A, Lorenzo-Lopez L, Lodeiro-Fernandez L, Rodriguez-Villamil JL, Millan-Calenti JC. Cognitive and affective assessment in day care versus institutionalized elderly patients: A 1-year longitudinal study. Clinical Interventions in Aging. 2014;9:887-894. https://doi.org/10.2147/CIA. S63084 

  4. Thayer JF, Hansen AL, Saus-Rose E, Johnsen BH. Heart rate variability, prefrontal neural function, and cognitive performance: The neurovisceral integration perspective on self-regulation, adaptation, and health. Annals of Behavioral Medicine. 2009;37(2):141-153. https://doi.org/10.1007/s12160-009-9101-z 

  5. Sakaki M, Yoo HJ, Nga L, Lee TH, Thayer JF, Mather M. Heart rate variability is associated with amygdala functional connectivity with MPFC across younger and older adults. Neuroimage. 2016;139:44-52. https://doi.org/10.1016/j.neuroimage.2016.05.076 

  6. Duschek S, Hoffmann A, Reyes del Paso GA, Ettinger U. Autonomic cardiovascular control and executive function in chronic hypotension. Annals of Behavioral Medicine. 2017;51(3):442-453. https://doi.org/10.1007/s12160-016-9868-7 

  7. Ernst G. Heart-rate variability-more than heart beats? Frontiers in Public Health. 2017;5:240. https://doi.org/10.3389/fpubh.2017.00240 

  8. Nater UM, Rohleder N. Salivary alpha-amylase as a non-invasive biomarker for the sympathetic nervous system: Current state of research. Psychoneuroendocrinology. 2009;34(4):486-496. https://doi.org/10.1016/j.psyneuen.2009.01.014 

  9. Zheng W, Cui B, Han Y, Song H, Li K, He Y, et al. Disrupted regional cerebral blood flow, functional activity and connectivity in Alzheimer's disease: A combined ASL perfusion and resting state fMRI study. Frontiers in Neuroscience. 2019;13:738. https://doi.org/10.3389/fnins.2019.00738 

  10. Sherwood CC, Gordon AD, Allen JS, Phillips KA, Erwin JM, Hof PR, et al. Aging of the cerebral cortex differs between humans and chimpanzees. Proceedings of the National Academy of Sciences of the United States of America. 2011;108(32):13029-13034. https://doi.org/10.1073/pnas.1016709108 

  11. Jacobson L, Sapolsky R. The role of the hippocampus in feedback regulation of the hypothalamic-pituitary-adrenocortical axis. Endocrine Reviews. 1991;12(2):118-134. https://doi.org/10.1210/edrv-12-2-118 

  12. Zheng B, Tal R, Yang Z, Middleton L, Udeh-Momoh C. Cortisol hypersecretion and the risk of Alzheimer's disease: A systematic review and meta-analysis. Ageing Research Reviews. 2020;64:101171. https://doi.org/10.1016/j.arr.2020.101171 

  13. Gomez-Pinilla F, Hillman C. The influence of exercise on cognitive abilities. Comprehensive Physiology. 2013;3(1): 403-428. https://doi.org/10.1002/cphy.c110063 

  14. Wu W, Zhao Q, Xiao Z, Liang X, Luo J, Ding D. Association of combined engagement in cognitive and physical activity with domain-specific cognitive function: The Shanghai Aging Study. International Journal of Geriatric Psychiatry. 2021;36(1):116-126. https://doi.org/10.1002/gps.5403 

  15. Daimiel L, Martinez-Gonzalez MA, Corella D, Salas-Salvado J, Schroder H, Vioque J, et al. Physical fitness and physical activity association with cognitive function and quality of life: Baseline cross-sectional analysis of the PREDIMED-Plus trial. Scientific Reports. 2020;10(1):3472. https://doi.org/10.1038/s41598-020-59458-6 

  16. Han JW, Kim TH, Jhoo JH, Park JH, Kim JL, Ryu SH, et al. A normative study of the Mini-Mental State Examination for Dementia Screening (MMSE-DS) and its short form(SMMSE-DS) in the Korean elderly. Journal of Korean Geriatric Psychiatry. 2010;14(1):27-37. 

  17. Jessen F, Wolfsgruber S, Wiese B, Bickel H, Mosch E, Kaduszkiewicz H, et al. AD dementia risk in late MCI, in early MCI, and in subjective memory impairment. Alzheimer's & Dementia. 2014;10(1):76-83. https://doi.org/10.1016/j.jalz.2012.09.017 

  18. Universitat Dusseldorf: G*Power [Internet]. Dusseldorf: Heinrich-Heine-Universitat Dusseldorf; c2020 [cited 2020 Feb 20]. Available from: https://www.gpower.hhu.de. 

  19. de Oliveira Matos F, Vido A, Garcia WF, Lopes WA, Pereira A. A neurovisceral integrative study on cognition, heart rate variability, and fitness in the elderly. Frontiers in Aging Neuroscience. 2020;12:51. https://doi.org/10.3389/fnagi.2020.00051 

  20. Henry JD, Crawford JR. A meta-analytic review of verbal fluency performance following focal cortical lesions. Neuropsychology. 2004;18(2):284-295. https://doi.org/10.1037/0894-4105.18.2.284 

  21. Lucas JA, Ivnik RJ, Smith GE, Bohac DL, Tangalos EG, Graff-Radford NR, et al. Mayo's older Americans normative studies: Category fluency norms. Journal of Clinical and Experimental Neuropsychology. 1998;20(2):194-200. https://doi.org/10.1076/jcen.20.2.194.1173 

  22. Sadeghipour Roodsari M, Akbari Kamrani AA, Foroughan M, Mohammadi F, Karimloo M. Validity and reliability of the clock drawing test in older people. Salmand: Iranian Journal of Ageing. 2013;8(2):48-53. 

  23. Rouleau I, Salmon DP, Butters N, Kennedy C, McGuire K. Quantitative and qualitative analyses of clock drawings in Alzheimer's and Huntington's disease. Brain and Cognition. 1992;18(1):70-87. https://doi.org/10.1016/0278-2626(92)90112-y 

  24. Adams J, Julian P, Hubbard M, Hartman J, Baugh S, Segrest W, et al. A randomized controlled trial of a controlled breathing protocol on heart rate variability following myocardial infarction or coronary artery bypass graft surgery. Clinical Rehabilitation. 2009;23(9):782-789. https://doi.org/10.1177/0269215509334834 

  25. Beltzer EK, Fortunato CK, Guaderrama MM, Peckins MK, Garramone BM, Granger DA. Salivary flow and alpha-amylase: Collection technique, duration, and oral fluid type. Physiology & Behavior. 2010;101(2):289-296. https://doi.org/10.1016/j.physbeh.2010.05.016 

  26. Ozemek C, Kirschner MM, Wilkerson BS, Byun W, Kaminsky LA. Intermonitor reliability of the GT3X+ accelerometer at hip, wrist and ankle sites during activities of daily living. Physiological Measurement. 2014;35(2):129-138. https://doi.org/10.1088/0967-3334/35/2/129 

  27. Knaier R, Hochsmann C, Infanger D, Hinrichs T, Schmidt-Trucksass A. Validation of automatic wear-time detection algorithms in a free-living setting of wrist-worn and hipworn ActiGraph GT3X. BMC Public Health. 2019;19(1):244. https://doi.org/10.1186/s12889-019-6568-9 

  28. Sasaki JE, Hickey AM, Staudenmayer JW, John D, Kent JA, Freedson PS. Performance of activity classification algorithms in free-living older adults. Medicine and Science in Sports and Exercise. 2016;48(5):941-950. https://doi.org/10.1249/MSS.0000000000000844 

  29. Kee BS. A preliminary study for the standardization of geriatric depression scale short form-Korea version. Journal of the Korean Neuropsychiatric Association. 1996;35(2):298-307. 

  30. Lee GR, Kim DR, Lim HN, Kang KH. The effects of the oral care program for improving swallowing function of the elderly using welfare centers on depression, self efficacy, subjective oral health status and swallowing related quality of life. Journal of Korean Academy of Community Health Nursing. 2020;31(2):166-178. https://doi.org/10.12799/jkachn.2020.31.2.166 

  31. Nawrocka A, Mynarski W, Cholewa J. Adherence to physical activity guidelines and functional fitness of elderly women, using objective measurement. Annals of Agricultural and Environmental Medicine. 2017;24(4):632-635. https://doi.org/10.5604/12321966.1231388 

  32. Tudor-Locke C, Craig CL, Aoyagi Y, Bell RC, Croteau KA, De Bourdeaudhuij I, et al. How many steps/day are enough? For older adults and special populations. The International Journal of Behavioral Nutrition and Physical Activity. 2011;8:80. https://doi.org/10.1186/1479-5868-8-80 

  33. Ortlieb S, Gorzelniak L, Nowak D, Strobl R, Grill E, Thorand B, et al. Associations between multiple accelerometry-assessed physical activity parameters and selected health outcomes in elderly people: Results from the KORA-age study. PLoS One. 2014;9(11):e111206. https://doi.org/10.1371/journal.pone.0111206 

  34. Benka Wallen M, Franzen E, Nero H, Hagstromer M. Levels and patterns of physical activity and sedentary behavior in elderly people with mild to moderate Parkinson disease. Physical Therapy. 2015;95(8):1135-1141. https://doi.org/10.2522/ptj.20140374 

  35. Lobo A, Santos P, Carvalho J, Mota J. Relationship between intensity of physical activity and health-related quality of life in Portuguese institutionalized elderly. Geriatrics & Gerontology International. 2008;8(4):284-290. https://doi.org/10.1111/j.1447-0594.2008.00478.x 

  36. Chang YT. Physical activity and cognitive function in mild cognitive impairment. ASN Neuro. 2020;12:1759091419901182. https://doi.org/10.1177/1759091419901182 

  37. Wu ZJ, Wang ZY, Hu BQ, Zhang XH, Zhang F, Wang HL, et al. Relationships of accelerometer-based measured objective physical activity and sedentary behaviour with cognitive function: A comparative cross-sectional study of China's elderly population. BMC Geriatrics. 2020;20(1):149. https://doi.org/10.1186/s12877-020-01521-y 

  38. Aydin ZD, Ersoy IH, Basturk A, Kutlucan A, Goksu SS, Gungor G, et al. Predictors of clock drawing test (CDT) performance in elderly patients attending an internal medicine outpatient clinic: A pilot study on sun exposure and physical activity. Archives of Gerontology and Geriatrics. 2011;52(3):e226-e231. https://doi.org/10.1016/j.archger.2010.11.018 

  39. Allen B, Jennings JR, Gianaros PJ, Thayer JF, Manuck SB. Resting high-frequency heart rate variability is related to resting brain perfusion. Psychophysiology. 2015;52(2):277-287. https://doi.org/10.1111/psyp.12321 

  40. Dalise AM, Prestano R, Fasano R, Gambardella A, Barbieri M, Rizzo MR. Autonomic nervous system and cognitive impairment in older patients: Evidence from long-term heart rate variability in real-life setting. Frontiers in Aging Neuroscience. 2020;12:40. https://doi.org/10.3389/fnagi.2020.00040 

  41. Nonogaki Z, Umegaki H, Makino T, Suzuki Y, Kuzuya M. Relationship between cardiac autonomic function and cognitive function in Alzheimer's disease. Geriatrics & Gerontology International. 2017;17(1):92-98. https://doi.org/10.1111/ggi.12679 

  42. Jennings JR, Allen B, Gianaros PJ, Thayer JF, Manuck SB. Focusing neurovisceral integration: Cognition, heart rate variability, and cerebral blood flow. Psychophysiology. 2015;52(2):214-224. https://doi.org/10.1111/psyp.12319 

  43. Knight EL, Giuliano RJ, Shank SW, Clarke MM, Almeida DM. Parasympathetic and sympathetic nervous systems interactively predict change in cognitive functioning in midlife adults. Psychophysiology. 2020;57(10):e13622. https://doi.org/10.1111/psyp.13622 

  44. Lin F, Heffner K, Mapstone M, Chen DG, Porsteisson A. Frequency of mentally stimulating activities modifies the relationship between cardiovascular reactivity and executive function in old age. The American Journal of Geriatric Psychiatry. 2014;22(11):1210-1221. https://doi.org/10.1016/j.jagp.2013.04.002 

  45. Hatta A, Nishihira Y, Higashiura T. Effects of a single bout of walking on psychophysiologic responses and executive function in elderly adults: A pilot study. Clinical Interventions in Aging. 2013;8:945-52. https://doi.org/10.2147/CIA.S46405 

  46. Haba-Rubio J, Ouanes S, Franc Y, Marques-Vidal P, Waeber G, Vollenweider P, et al. Do diurnal cortisol levels mediate the association between sleep disturbances and cognitive impairment? Neurobiology of Aging. 2018;69:65-67. https://doi.org/10.1016/j.neurobiolaging.2018.05.001 

  47. Johar H, Emeny RT, Bidlingmaier M, Lacruz ME, Reincke M, Peters A, et al. Lower morning to evening cortisol ratio is associated with cognitive impairment in men but not women: An analysis of 733 older subjects of the cross-sectional KORA-Age study. Psychoneuroendocrinology. 2015;51:296-306. https://doi.org/10.1016/j.psyneuen.2014.10.011 

  48. Holanda CM, Guerra RO, Nobrega PV, Costa HF, Piuvezam MR, Maciel AC. Salivary cortisol and frailty syndrome in elderly residents of long-stay institutions: A cross-sectional study. Archives of Gerontology and Geriatrics. 2012;54(2):e146-e151. https://doi.org/10.1016/j.archger.2011.11.006 

  49. Ancelin ML, Scali J, Norton J, Ritchie K, Dupuy AM, Chaudieu I, et al. The effect of an adverse psychological environment on salivary cortisol levels in the elderly differs by 5-HTTLPR genotype. Neurobiology of Stress. 2017;7:38-46. https://doi.org/10.1016/j.ynstr.2017.03.002 

  50. Lupien SJ, de Leon M, de Santi S, Convit A, Tarshish C, Nair NP, et al. Cortisol levels during human aging predict hippocampal atrophy and memory deficits. Nature Neuroscience. 1998;1(1):69-73. https://doi.org/10.1038/271 

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