Association Between the Level of Body Mass Index and Cognitive Function and Functional Mobility in the Elderly

Authors

  • chayanee kaewthong Faculty of Physical Therapy, Huachiew Chalermprakiet University, Samutprakan 10540
  • Monchuleeporn Viriyawattanakul

Keywords:

elderly, blood lipid level, cognitive function and functional mobility

Abstract

          The aim of this study was to investigate the correlation between body mass index (BMI) and cognitive function, cognitive function and functional mobility and to make comparisons between cognitive function and BMI of the elderly. There were 183 participants in this study. Participants were divided into 5 groups by BMI. [ The cognitive function was collected by Montreal cognitive assessment (MOCA) test and functional mobility was collected by Timed up and go (TUG) test. The correlation was analyzed using a Spearman correlation. The comparison of cognitive function between 5 groups was analyzed by using one-way Analysis of variance (ANOVA). The results showed that all of 5 groups had cognitive impairment (93.44%). Most of the elderly have an abnormal BMI (78.14%) and abnormal functional mobility (57.37%). The statistical analysis found the correlation between cognitive and functional mobility (r=-0.364). However, there was no correlation between body mass index and cognitive function, and no significant difference of cognitive function between the 5 groups (p=0.393). The results of this study indicated that body mass index is not related to cognitive function, but the elderly with cognitive impairment had slower movements. Therefore, they should be aware of proper care and a rehabilitation program.

References

Foundation of Thai Gerontology Research and Development Institute. Situation of the Thai elderly 2020. Nakhon pathom: Insitute for Population and Social Research Mahidol University; 2020.

Boss GR, Seegmiller JE. Age-related physiological changes and their clinical significance. Wes J Med 1981;135:434–40.

Murman DL.The impact of age on cognition. Semi Hear 2015;36:111–21.

Purves D, LaBar KS, Platt ML, Woldorff MG, Cabeza R, Huettel SA. Principles of cognitive neuroscience. 2nd ed. Sunderland: Sinauer; 2013.

Lee KS, Hong CH, Cheong HK, Oh BH. Difference in nutritional risk between mild cognitive impairment group and normal cognitive function elderly group. Arch Gerontol Geriatr 2009; 49:49-53.

Patrakitkomjorn S, Ngahatthee T, Promdee L, Teerajetgul Y. The study of waist circumstance,body mass index and waist to hip ratio for obesity evaluation in annual health check-up. J Med Tech Phy Ther 2011;23:316-8.

Cournot M, Marquie JC, Ansiau D, Martinaud C, Fonds H, J.Ferrieres, et al. Relation between body mass index and cognitive function in healthy middle-aged men and women. Neurology 2006;67:1208-14.

Hidese S, Ota M, Matsuo J, Ishida I, Hiraishi M, Yoshida S, et al. Association of obesity with cognitive function and brain structure in patients with major depressive disorder. J Affect Disord 2018;225:188-94.

Nguyen JC, Killcross AS, Jenkins TA. Obesity and cognitive decline: role of inflammation and vascular changes. Front Neurosci 2014;8:375-81.

Freeman LR, Haley-Zitlin V, Rosenberger DS, Granholm AC. Damaging effects of a high-fat diet to the brain and cognition: a review of proposed mechanisms. Nutr Neurosci 2014;17:241-51.

Wang C, Chan JS, Ren L, Yan JH. Obesity reduces cognitive and motor functions across the lifespan. Neural Plast [Internet]. 2016 [4 February 2019]. Available from: https://doi.org/10.1155/2016/2473081

Kim S, Kim Y, Park SM. Body Mass Index and decline of cognitive function. PLoS ONE 2016;11(2):1-14.

Estrella-Castillo DF, Nemegyei JA, Gómez-de-Regil L. Association between body mass index with cognitive or physical functioning, and depression in Mexican elderly: a cross-sectional study. Neuropsychiatry 2016;6(5):271-9.

Prickett C, Brennan L, Stolwyk R. Examining the relationship between obesity and cognitive function: a systematic literature review. Obes Res Clin Pract 2015;9:93-113.

Albanese E, Launer LJ, Egger M, Prince MJ, Giannakopoulos P, Wolters FJ, et al. Body mass index in midlife and dementia: Systematic review and meta-regression analysis of 589,649 men and women followed in longitudinal studies. Alzheimers Dement 2017;8:165–78.

Borges SM, Radanovic M, Forlenza OV. Correlation between functional mobility and cognitive performance in older adults with cognitive impairment. Aging Neuropsychol Cogn 2016;25:23-32.

Martin KL, Blizzard L, Wood AG, Srikanth V, Thomson R, Sanders LM, et al. Cognitive function, gait, and gait variability in older people: a population-based study. J Gerontol A Biol Sci 2013;68(6):725-32.

Thaikruea L, Seetamanotch W, Seetamanotch S. Appropriate cut-off level of BMI for screening in Thai adults. J Med Assoc Thai 2006;89(12):2123-8.

Jitnarin N, Kosulwat V, Rojroongwasinkul N, Boonpraderm A, Haddock CK, Poston WS. Prevalence of overweight and obesity in Thai population: results of the National Thai Food Consumption Survey. Eat Weight Disord 2011;16(4):242-9.

Train the Brain forum Committee. Thai Geriatric Depression Scale-TGDS. Siriraj Hosp Gaz 1994; 46:1-9.

Nasreddine ZS, Phillips NA, Bedirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc 2005;53(4):695-9.

Tangwongchai S, Phanasathit M, Charernboon T, Akkayagorn L, Hemrungrojn S, Phanthumchinda K, et al. The validity of Thai version of The Montreal Cognitive Assessment (MoCA-T). Dement Neuropsychol 2009;3(2):172.

Podsiadlo D, Richardson S. The timed "Up & Go": a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc 1991;39(2):142-8.

Schober P, Boer C, Schwarte LA. Correlation coefficients: appropriate use and interpretation. Anesth. Analg 2018; 126(5):1763-8.

Baccouche MA, Arous I, Sellami H, Elloumi A. Association between body mass index and cognitive performance in rugby players. IJSRP 2014;4(6):1-5.

Atti AR., Palmer K., Volpato S., Winblad B., Ronchi DD., Fratiglioni L. Late-life body mass index and dementia incidence: nine-year follow-up data from the kungsholmen project. J Am Geriatr Soc 2008;56(1):111–6.

Exel EV, Gussekloo J, Bootsma-van der wiel A, Knook DL, Westendorp RG. Cognitive function in the oldest old: women perform better than men. J Neurol Neurosurg Psychiatry 2001;71:29-32.

Word Health Organization. Waist circumference and waist-hip ratio [Internet]. 2008 [2021 July 15]. Available from: https://www.who.int/publications/item/9789241501491

Frengopoulos C, Burley J, Viana R, Payne MW, Hunter SW. Association between Montreal Cognitive Assessment Acores and measures of functional mobility in lower extremity amputees after inpatient rehabilitation. Arch Phys Med Rehabil 2017;98(3):450–5.

Alvarenga PP, Pereira DS, Anjos DM. Functional mobility and executive function in elderly diabetics and non-diabetics. Rev Bras Fisioter 2010;14(6):491-6.

O’Keefe JA, Robertson EE, Ouyang B, Carnes D, McAsey A., Liu Y, et al. Cognitive function impacts gait functional mobility and falls in fragile X-Associated tremor/ataxia syndrome. Gait Posture 2018;66:288-93.32. Montero-Odasso M, Verghese J, Beauchet O, Hausdorff JM. Gait and cognition: a complementary approach to understanding brain function and the risk of falling. J Am Geriatr Soc 2012;60(11):2127–36.

Downloads

Published

2022-06-30

How to Cite

1.
kaewthong chayanee, Viriyawattanakul M. Association Between the Level of Body Mass Index and Cognitive Function and Functional Mobility in the Elderly . HCUJOURNAL [Internet]. 2022 Jun. 30 [cited 2024 Apr. 27];26(1):87-9. Available from: https://he01.tci-thaijo.org/index.php/HCUJOURNAL/article/view/254237

Issue

Section

Research article