The Indian Journal of Nutrition and Dietetics

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Nutritional Status and Cognitive Abilities of Adults (20-60 years) from the City of Mumbai


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1 Department of Foods, Nutrition and Dietetics, College of Home Science, University of Mumbai, Mumbai - 400 020, India
     

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Early identification of cognitive failure and its association with nutritional status might aid in the planning of appropriate prevention strategies. The present study was planned to find out the association between the age, gender, body composition and dietary nutrient consumption of adult males and females residing in the city of Mumbai, with their cognitive ability. Four hundred apparently healthy adults (20-60 years) residing in the city of Mumbai were purposively selected for the survey. Cognitive ability of participants was assessed using Mini Mental State Examination (MMSE) tool. Anthropometric and body composition parameters were analysed using standard procedures. Information on the dietary nutrient intake was collected using 3 day dietary recall method. Data was statistically analysed using the IBM SPSS (Version 22) software and Microsoft excel 2007 for windows. MCI was found in 21.5% of the participants. High prevalence of general and abdominal obesity was also observed in the participants. Data on the dietary nutrient intake showed that young adults (20-40 years) with high dietary fat especially SFA and MUFA consumption were found to be at a lower risk of developing MCI. Their anthropometric parameters i.e. Body Mass Index positively correlated with cognitive scores (p<0.05) whereas in older adults (40-60 years), body fat showed negative association (p<0.05) where as height, muscle mass and bone mass showed positive association with their cognitive scores (p<0.01). Thus, results of the study suggested that early detection of cognitive impairment would facilitate prevention of further neurodegeneration. Hence, identifying and preventing risk factors of cognitive impairment such as obesity and encouraging consumption of neuroprotective foods would help in the prevention of cognitive impairment.

Keywords

Cognition, MCI, MMSE, Anthropometry Measurements, Neuro-Degeneration, Obesity, MUFA
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  • Fischer, K.W., Yan, Z. and Stewart, J. Adult cognitive development: Dynamics in the developmental web. Handbook of Developmental Psychology. 2003, 21, 491-516.

  • Hughes, T.F. and Ganguli, M. Modifiable midlife risk factors for late-life cognitive impairment and dementia. Current Psyc. Rev., 2009, 1, 73-92.

  • Cshertkow, H. Mild cognitive impairment, the Canadian alzheimer disease review, 2002, 15-20.

  • Petersen, R.C., Doody, R., Kurz, A., Mohs, R.C., Morris, J.C., Rabins, P.V., Ritchie, K., Rossor, M., Thal, L. and Winblad, B. Current concepts in mild cognitive impairment. Archiv. Neurol., 2001, 58, 1985-1992.

  • Ingole, S.R., Rajput, S.K. and Sharma, S.S. Cognition enhancers: current strategies and future perspectives. CRIPS., 2008, 9, 42-48.

  • Burkhalter, T.M. and Hillman, C.H. A narrative review of physical activity, nutrition and obesity to cognition and scholastic performance across the human lifespan. Adv. Nutr., 2011, 2, 201-206.

  • Cournot, M.C., Marquie, J.C., Ansiau, D., Martinaud, C., Fonds, H., Ferrieres, J. and Ruidavets, J.B. Relation between body mass index and cognitive function in healthy middle-aged men and women. Neurol., 2006, 67, 1208-1214.

  • Sabia, S., Kivimaki, M., Shipley, M.J., Marmot, M.G. and Singh-Manoux, A. Body mass index over the adult life course and cognition in late midlife: the Whitehall II Cohort Study. The Am. J. Clini. Nutr., 2008, 89, 601-607.

  • Faxén-Irving, G., Basun, H. and Cederholm, T. Nutritional and cognitive relationships and long-term mortality in patients with various dementia disorders. Age and Ageing, 2005, 34, 136-141.

  • Ravaglia, G., Forti, P., Maioli, F., Bianchi, G., Martelli, M., Talerico, T., Servadei, L., Zoli, M. and Mariani, E. Plasma amino acid concentrations in patients with amnestic mild cognitive impairment or Alzheimer disease. The Am. J. Clin. Nutr., 2004, 80, 483-488.

  • Gómez-Pinilla, F. Brain foods: the effects of nutrients on brain function. Nature Rev. Neurosci., 2008, 9, 568.

  • Head, E. Oxidative damage and cognitive dysfunction: antioxidant treatments to promote healthy brain aging. Neurochem. Res., 2009, 34, 670-678.

  • Laurin, D., Masaki, K.H., Foley, D.J., White, L.R. and Launer, L.J. Midlife dietary intake of antioxidants and risk of late-life incident dementia: the Honolulu-Asia aging study. Am. J. Epidemiol., 2004, 159, 959-967.

  • Letenneur, L., Proust-Lima, C., Le Gouge, A., Dartigues, J.F. and Barberger-Gateau, P. Flavonoid intake and cognitive decline over a 10-year period. Am. J. Epidemiol., 2007, 165, 1364-1371.

  • Muldoon, M.F., Ryan, C.M., Sheu, L., Yao, J.K., Conklin, S.M. and Manuck, S.B. Serum phospholipid docosahexaenonic acid is associated with cognitive functioning during middle adulthood. The J. Nutr., 2010, 140, 848-853.

  • González-Gross, M., Marcos, A. and Pietrzik, K. Nutrition and cognitive impairment in the elderly. Br. J. Nutr., 2001, 86, 313-321.

  • Vercambre, M.N., Boutron-Ruault, M.C., Ritchie, K., Clavel-Chapelon, F. and Berr, C. Long-term association of food and nutrient intakes with cognitive and functional decline: a 13-year follow-up study of elderly French women. Br. J. Nutr., 2009, 102, 419-427.

  • Folstein, M.F., Folstein, S.E. and McHugh, P.R. “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. J. Psych. Res., 1975, 12, 189198.

  • Nutritive Value of Indian Foods (NVIF) By C. Gopalan, B.V. Rama Sastri and S.C. Balasubramanian, Revised and Updated (1989) by B.S. narasinga Rao, Y.G. Deosthala and K.C. Pant (Reprinted 2007, 2011).

  • Indian Council of Medical Research. Expert Group. (1990). Nutrient Requirements and Recommended Dietary Allowances for Indians: A Report of the Expert Group of the Indian Council of Medical Research. Indian Council of Medical Research.

  • Das, S.K., Bose, P., Biswas, A., Dutt, A., Banerjee, T.K., Hazra, A., Raut, D.K., Chaudhuri, A. and Roy, T. An epidemiologic study of mild cognitive impairment in Kolkata, India. Neurol., 2007, 68, 2019-2026.

  • Albert, M.S. and Blacker, D. Mild cognitive impairment and dementia. Annu. Rev. Clin. Psychol.. 2006, 27, 79-88.

  • Vas, C.J., Pinto, C., Panikker, D., Noronha, S., Deshpande, N., Kulkarni, L. and Sachdeva, S. Prevalence of dementia in an urban Indian population. Int. Psychoge., 2001, 13, 439-450.

  • Raina, S., Razdan, S., Pandita, K.K. and Raina S. Prevalence of dementia among Kashmiri migrants. Ann. Ind. Aca. Neurol., 2008, 11, 106.

  • West, N.A. and Haan, M.N. Body adiposity in late life and risk of dementia or cognitive impairment in a longitudinal community-based study. J. Gerontol. Ser. A: Biomed. Sci. Med. Sci., 2009, 64, 103-109.

  • Miller, A.A. and Spencer, S.J. Obesity and neuro-inflammation: a pathway to cognitive impairment. Brain, Behavior, and Immunity. 2014, 42, 10-21.

  • Debette, S., Beiser, A., Hoffmann, U., DeCarli, C., O’donnell, C.J., Massaro, J.M., Au, R., Himali, J.J., Wolf, P.A., Fox, C.S. and Seshadri, S. Visceral fat is associated with lower brain volume in healthy middle aged adults. Ann. Neurol., 2010, 68, 136-44.

  • Isaac, V., Sim, S., Zheng, H., Zagorodnov, V., Tai, E. and Chee, M. Adverse associations between visceral adiposity, brain structure, and cognitive performance in healthy elderly. Frontiers. Aging Neurosci., 2011, 13, 12.

  • Schwartz, D.H., Leonard, G., Perron, M., Richer, L., Syme, C., Veillette, S., Pausova, Z. and Paus, T. Visceral fat is associated with lower executive functioning in adolescents. Int. J. Obesity. 2013, 37, 1336.

  • Mujica-Parodi, L.R., Renelique, R. and Taylor, M.K. Higher body fat percentage is associated with increased cortisol reactivity and impaired cognitive resilience in response to acute emotional stress. Int. J. Obesity. 2009, 33, 157.

  • Tikhonoff, V., Casiglia, E., Guidotti, F., Giordano, N., Martini, B., Mazza, A., Spinella, P. and Palatini, P. Body fat and the cognitive pattern: A population based study. Obesity. 2015, 23, 1502-1510.

  • Brownbill, R.A. and Ilich, J.Z. Cognitive function in relation with bone mass and nutrition: cross-sectional association in postmenopausal women. BMC Women’s Health. 2004, 4, 2.

  • Roberts, R.O., Geda, Y.E., Knopman, D.S., Cha, R.H., Boeve, B.F., Ivnik, R.J., Pankratz, V.S., Tangalos, E.G. and Petersen, R.C. Metabolic syndrome, inflammation and nonamnestic mild cognitive impairment in older persons: A population-based study. Alzheimer disease and associated disorders. 2010, 24, 11.

  • Singh, B., Parsaik, A.K., Mielke, M.M., Erwin, P.J., Knopman, D.S., Petersen, R.C. and Roberts, R.O. Association of mediterranean diet with mild cognitive impairment and Alzheimer’s disease: a systematic review and meta-analysis. J. Alzheimer’s Disease. 2014, 39, 271-282.

  • O’Brien, J., Okereke, O., Devore, E., Rosner, B., Breteler, M. and Grodstein, F. Longterm intake of nuts in relation to cognitive function in older women. The J. Nutr. Health. Aging. 2014, 18, 496-502.

  • Roberts, R.O., Roberts, L.A., Geda, Y.E., Cha, R.H., Pankratz, V.S., O’Connor, H.M., Knopman, D.S. and Petersen, R.C. Relative intake of macronutrients impacts risk of mild cognitive impairment or dementia. J. Alzheimer’s Disease. 2012, 32, 329-339.

  • Hawkins, M.A., Keirns, N.G. and Helms, Z. Carbohydrates and cognitive function. Current Opinion in Clin. Nutr. Metabol. Care. 2018, 21, 302-307.

  • Bourre, J.M. Effects of nutrients (in food) on the structure and function of the nervous system: update on dietary requirements for brain. Part 2: macronutrients. J. Nutr. Health. Aging. 2006, 10, 386.

  • Le Coutre, J., Mattson, M.P., Dillin, A., Friedman, J. and Bistrian, B. Nutrition and the biology of human ageing: Cognitive decline/food intake and caloric restriction. The J. Nutr. Health. Aging. 2013, 17, 717-720.

  • Fusco, S. and Pani, G. Brain response to calorie restriction. Cellular and Molecular Life Sci., 2013, 70, 3157-3170.

  • de Gischolar_main, M.H., Phillips, S.J. and Eskes, G.A. Fatigue associated with stroke and other neurologic conditions: implications for stroke rehabilitation. Arch. Phys. Med. Rehabilitat., 2003, 84, 1714-1720.

  • Solfrizzi, V., D’introno, A., Colacicco, A.M., Capurso, C., Del Parigi, A., Capurso, S., Gadaleta, A., Capurso, A. and Panza, F. Dietary fatty acids intake: possible role in cognitive decline and dementia. Experimen. Gerontol., 2005, 40, 257-270.

  • Solfrizzi, V., Capurs, C., D’introno, A., Colacicco, A.M., Frisardi, V., Santamato, A., Ranieri, M., Fiore, R., Vendemiale, G., Seripa, D. and Pilotto, A. Dietary fatty acids, agerelated cognitive decline and mild cognitive impairment. The J. Nutr. Health. Aging, 2008, 12, 382.


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  • Nutritional Status and Cognitive Abilities of Adults (20-60 years) from the City of Mumbai

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Authors

Neha Vaidya
Department of Foods, Nutrition and Dietetics, College of Home Science, University of Mumbai, Mumbai - 400 020, India
Subhadra Mandalika
Department of Foods, Nutrition and Dietetics, College of Home Science, University of Mumbai, Mumbai - 400 020, India

Abstract


Early identification of cognitive failure and its association with nutritional status might aid in the planning of appropriate prevention strategies. The present study was planned to find out the association between the age, gender, body composition and dietary nutrient consumption of adult males and females residing in the city of Mumbai, with their cognitive ability. Four hundred apparently healthy adults (20-60 years) residing in the city of Mumbai were purposively selected for the survey. Cognitive ability of participants was assessed using Mini Mental State Examination (MMSE) tool. Anthropometric and body composition parameters were analysed using standard procedures. Information on the dietary nutrient intake was collected using 3 day dietary recall method. Data was statistically analysed using the IBM SPSS (Version 22) software and Microsoft excel 2007 for windows. MCI was found in 21.5% of the participants. High prevalence of general and abdominal obesity was also observed in the participants. Data on the dietary nutrient intake showed that young adults (20-40 years) with high dietary fat especially SFA and MUFA consumption were found to be at a lower risk of developing MCI. Their anthropometric parameters i.e. Body Mass Index positively correlated with cognitive scores (p<0.05) whereas in older adults (40-60 years), body fat showed negative association (p<0.05) where as height, muscle mass and bone mass showed positive association with their cognitive scores (p<0.01). Thus, results of the study suggested that early detection of cognitive impairment would facilitate prevention of further neurodegeneration. Hence, identifying and preventing risk factors of cognitive impairment such as obesity and encouraging consumption of neuroprotective foods would help in the prevention of cognitive impairment.

Keywords


Cognition, MCI, MMSE, Anthropometry Measurements, Neuro-Degeneration, Obesity, MUFA

References





DOI: https://doi.org/10.21048/ijnd.2019.56.2.23061