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Calorie Intake and Cognitive Function in the Elderly: Data from the Korean Frailty and Aging Cohort Study (KFACS)

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The journal of nutrition, health & aging

Abstract

This study aimed to clarify the association between calorie intake and cognitive function in community-dwelling older adults. A cross-sectional analysis was performed on the first-year baseline data of 1559 adults aged 70–84 years using population data from the Korean Frailty and Aging Cohort Study. We included 543 participants who participated in nutritional surveys and accurately responded regarding their daily calorie intake. Daily ingestion was measured using the 24-hour dietary recall method, and neuropsychological tests evaluated cognitive characteristics. Logistic regression models were utilized to calculate odds ratios (ORs) with 95% confidence intervals (CIs). The prevalence rate of cognitive impairment was 8%. Subjects with cognitive impairment mainly showed memory loss. After adjusting the confounding factors, participants who had less than the recommended intake were susceptible to cognitive impairment compared to those who that had the proposed intake (adjusted OR: 7.70, 95% CI: 1.01–58.45). We showed that lesser calorie intake than the recommended intake increases the ORs of cognitive impairment. We suggest that an adequate calorie intake protects against cognitive decline, and further studies are essential to investigate the influence of calorie intake reduction on the elderly before widespread application.

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References

  1. Prince, M.; Wimo, A.; Guerchet, M.; Ali, G.; Wu, Y.; Prina, M. World Alzheimer Report 2015. The global impact of dementia. An analysis of prevalence, incidence, cost & trends. London: Alzheimer’s Disease International; 2015. World Health Organization. Available from: https://www.alz.co.uk/research/WorldAlzheimerReport2015.pdf. 2017.

    Google Scholar 

  2. Kelley, A. S.; McGarry, K.; Gorges, R.; Skinner, J. S. The burden of health care costs for patients with dementia in the last 5 years of life. Ann. Intern. Med. 2015, 163, 729–736. doi: https://doi.org/10.7326/m15-0381

    Article  Google Scholar 

  3. Fiocco, A. J.; Yaffe, K. Defining successful aging: the importance of including cognitive function over time. Arch. Neurol. 2010, 67, 876–880. doi: https://doi.org/10.1001/archneurol.2010.130

    Article  Google Scholar 

  4. Kaup, A. R.; Mirzakhanian, H.; Jeste, D. V.; Eyler, L. T. A review of the brain structure correlates of successful cognitive aging. J. Neuropsychiatry Clin. Neurosci. 2011, 23, 6–15. doi: https://doi.org/10.1176/appi.neuropsych.23.1.6

    Article  Google Scholar 

  5. Baumgart, M.; Snyder, H. M.; Carrillo, M. C.; Fazio, S.; Kim, H.; Johns, H. Summary of the evidence on modifiable risk factors for cognitive decline and dementia: a population-based perspective. Alzheimer’s & Dementia 2015, 11, 718–726. doi: https://doi.org/10.1016/j.jalz.2015.05.016

    Article  Google Scholar 

  6. Haslam, D.; James, W. Obesity Lancet. 2005, 366 (9492), 1197–209. doi: https://doi.org/10.1016/s0140-6736(05)67483-1

    Article  Google Scholar 

  7. Martin, C. K.; Anton, S. D.; Han, H.; York-Crowe, E.; Redman, L. M.; Ravussin, E.; Williamson, D. A. Examination of cognitive function during six months of calorie restriction: results of a randomized controlled trial. Rejuvenation research 2007, 10, 179–190. doi: https://doi.org/10.1089/rej.2006.0502

    Article  Google Scholar 

  8. Witte, A. V.; Fobker, M.; Gellner, R.; Knecht, S.; Floel, A. Caloric restriction improves memory in elderly humans. Proc. Natl. Acad. Sci. U. S. A. 2009, 106, 1255–1260. doi: https://doi.org/10.1073/pnas.0808587106

    Article  CAS  Google Scholar 

  9. Fontana, L.; Klein, S. Aging, adiposity, and calorie restriction. JAMA 2007, 297, 986–994. doi: https://doi.org/10.1001/jama.297.9.986

    Article  CAS  Google Scholar 

  10. Weiss, E. P.; Fontana, L. Caloric restriction: powerful protection for the aging heart and vasculature. American Journal of Physiology-Heart and Circulatory Physiology 2011, 301, H1205–H1219. doi: https://doi.org/10.1152/ajpheart.00685.2011

    Article  CAS  Google Scholar 

  11. Stevens, J.; Cai, J.; Pamuk, E. R.; Williamson, D. F.; Thun, M. J.; Wood, J. L. The effect of age on the association between body-mass index and mortality. N. Engl. J. Med. 1998, 338, 1–7.

    Article  CAS  Google Scholar 

  12. Bouchard, D. R.; Pickett, W.; Janssen, I. Association between obesity and unintentional injury in older adults. Obes. Facts 2010, 3, 363–369. doi: https://doi.org/10.1159/000322873

    Article  Google Scholar 

  13. Deschamps, V.; Astier, X.; Ferry, M.; Rainfray, M.; Emeriau, J.; Barberger-Gateau, P. Nutritional status of healthy elderly persons living in Dordogne, France, and relation with mortality and cognitive or functional decline. Eur. J. Clin. Nutr. 2002, 56, 305. doi: https://doi.org/10.1038/sj.ejcn.1601311

    Article  CAS  Google Scholar 

  14. Kuo, H.; Jones, R. N.; Milberg, W. P.; Tennstedt, S.; Talbot, L.; Morris, J. N.; Lipsitz, L. A. Cognitive function in normal-weight, overweight, and obese older adults: an analysis of the advanced cognitive training for independent and vital elderly cohort. J. Am. Geriatr. Soc. 2006, 54, 97–103. doi: https://doi.org/10.1111/j.1532-5415.2005.00522.x

    Article  Google Scholar 

  15. Won, C. W.; Lee, Y.; Choi, J.; Kim, K. W.; Park, Y.; Park, H.; Oh, I.; Ga, H.; Kim, Y. S.; Jang, H. C. Starting construction of frailty cohort for elderly and intervention study. Annals of Geriatric Medicine and Research 2016, 20, 114–117. doi: https://doi.org/10.4235/agmr.2016.20.3.114

    Article  Google Scholar 

  16. Shim, J. S.; Oh, K.; Kim, H. C. Dietary assessment methods in epidemiologic studies. Epidemiol. Health. 2014, 36, e2014009. doi: https://doi.org/10.4178/epih/e2014009

    Article  Google Scholar 

  17. Ministry of Health and Welfare, The Korean Nutrition Society. Dietary reference intakes for Koreans 2015. Ministry of Health and Welfare. 2016.

  18. Lee, D. Y.; Lee, K. U.; Lee, J. H.; Kim, K. W.; Jhoo, J. H.; Youn, J. C.; Kim, S. Y.; Woo, S. I.; Woo, J. I. A normative study of the mini-mental state examination in the Korean elderly. Journal of Korean Neuropsychiatric Association 2002, 41, 508–525.

    Google Scholar 

  19. Lee, D. Y.; Lee, K. U.; Lee, J. H.; Kim, K. W.; Jhoo, J. H.; Kim, S. Y.; Yoon, J. C.; Woo, S. I.; Ha, J.; Woo, J. I. A normative study of the CERAD neuropsychological assessment battery in the Korean elderly. Journal of the International Neuropsychological Society 2004, 10, 72–81. doi: https://doi.org/10.1017/s1355617704101094

    PubMed  Google Scholar 

  20. Arnett, J. A.; Labovitz, S. S. Effect of physical layout in performance of the Trail Making Test. Psychol. Assess. 1995, 7, 220. doi: https://doi.org/10.1037/1040-3590.7.2.220

    Article  Google Scholar 

  21. Bowie, C. R.; Harvey, P. D. Administration and interpretation of the Trail Making Test. Nature protocols 2006, 1, 2277. doi: https://doi.org/10.1038/nprot.2006.390

    Article  CAS  Google Scholar 

  22. Banken, J. A. Clinical utility of considering Digits Forward and Digits Backward as separate components of the wechsler adult intelligence Scale-Revised. J. Clin. Psychol. 1985, 41, 686–691. doi: https://doi.org/10.1002/1097-4679(198509)41:5<686::aidjclp2270410517>3.0.co;2-d

    Article  Google Scholar 

  23. Choi, H. J.; Lee, D. Y.; Seo, E. H.; Jo, M. K.; Sohn, B. K.; Choe, Y. M.; Byun, M. S.; Kim, J. W.; Kim, S. G.; Yoon, J. C. A normative study of the digit span in an educationally diverse elderly population. Psychiatry investigation 2014, 11, 39–43. doi: https://doi.org/10.4306/pi.2014.11.1.39

    Article  Google Scholar 

  24. Kim, M. K.; Lee, W.; Kang, J.; Kang, J.; Kim, B. T.; Kim, S. M.; Kim, E. M.; Suh, S.; Shin, H. J.; Lee, K. R. 2014 clinical practice guidelines for overweight and obesity in Korea. Endocrinology and Metabolism 2014, 29, 405–409.

    Article  Google Scholar 

  25. Oh, J. Y.; Yang, Y. J.; Kim, B. S.; Kang, J. H. Validity and Reliability of Korean Version of International Physical Activity Questionnaire (IPAQ) Short Form. Journal of the Korean Academy of Family Medicine 2007, 28, 532–541.

    Google Scholar 

  26. Team, R. C. R: A language and environment for statistical computing. 2013.

  27. Petersen, R. C.; Roberts, R. O.; Knopman, D. S.; Geda, Y. E.; Cha, R. H.; Pankratz, V. S.; Boeve, B. F.; Tangalos, E. G.; Ivnik, R. J.; Rocca, W. A. Prevalence of mild cognitive impairment is higher in men. The Mayo Clinic Study of Aging. Neurology 2010, 75, 889–897. doi: https://doi.org/10.1212/wnl.0b013e3181f11d85

    Article  CAS  Google Scholar 

  28. Mielke, M. M.; Vemuri, P.; Rocca, W. A. Clinical epidemiology of Alzheimer’s disease: assessing sex and gender differences. Clin. Epidemiol. 2014, 6, 37–48. doi: https://doi.org/10.2147/clep.s37929

    Article  Google Scholar 

  29. Salthouse, T. A. Selective review of cognitive aging. Journal of the International neuropsychological Society 2010, 16, 754–760. doi: https://doi.org/10.1017/s1355617710000706

    Article  Google Scholar 

  30. Hedden, T.; Gabrieli, J. D. Insights into the ageing mind: a view from cognitive neuroscience. Nature reviews neuroscience 2004, 5, 87. doi: https://doi.org/10.1038/nrn1323

    Article  CAS  Google Scholar 

  31. Harada, C. N.; Natelson Love, M. C.; Triebel, K. L. Normal cognitive aging. Clin. Geriatr. Med. 2013, 29, 737–752. doi: https://doi.org/10.1016/j.cger.2013.07.002

    Article  Google Scholar 

  32. Whiting, I.; Wythe, L.; Smith, A. D. Differential age-related processing limitations in recall and recognition tasks. Psychol. Aging 1997, 12, 216. doi: https://doi.org/10.1037//0882-7974.12.2.216

    Article  Google Scholar 

  33. Yun, S.; Kim, H. J.; Oh, K. Trends in energy intake among Korean adults, 1998–2015: results from the Korea National Health and Nutrition Examination Survey. Nutrition research and practice 2017, 11, 147–154. doi: https://doi.org/10.4162/nrp.2017.11.2.147

    Article  Google Scholar 

  34. Lee, L.; Kang, S. A.; Lee, H. O.; Lee, B. H.; Park, J. S.; Kim, J. H.; Jung, I. K.; Park, Y. J.; Lee, J. E. Relationships between dietary intake and cognitive function level in Korean elderly people. Public Health 2001, 115, 133–138. doi: https://doi.org/10.1038/sj.ph.1900729

    Article  CAS  Google Scholar 

  35. Miller, S.; Wolfe, R. R. The danger of weight loss in the elderly. The Journal of Nutrition Health and Aging 2008, 12, 487–491. doi: https://doi.org/10.1007/bf02982710

    Article  CAS  Google Scholar 

  36. Ryall, J. G.; Schertzer, J. D.; Lynch, G. S. Cellular and molecular mechanisms underlying age-related skeletal muscle wasting and weakness. Biogerontology 2008, 9, 213–228. doi: https://doi.org/10.1007/s10522-008-9131-0

    Article  CAS  Google Scholar 

  37. Buch, A.; Carmeli, E.; Boker, L. K.; Marcus, Y.; Shefer, G.; Kis, O.; Berner, Y.; Stern, N. Muscle function and fat content in relation to sarcopenia, obesity and frailty of old age—an overview. Exp. Gerontol. 2016, 76, 25–32. doi: https://doi.org/10.1016/j.exger.2016.01.008

    Article  Google Scholar 

  38. Darmon, P. Intentional weight loss in older adults: useful or wasting disease generating strategy? Current Opinion in Clinical Nutrition & Metabolic Care 2013, 16, 284–289. doi: https://doi.org/10.1097/mco.0b013e32835f503f

    Article  Google Scholar 

  39. Chang, K.; Hsu, T.; Wu, W.; Huang, K.; Han, D. Association between sarcopenia and cognitive impairment: a systematic review and meta-analysis. Journal of the American Medical Directors Association 2016, 17, 1164. e7-1164. e15. doi: https://doi.org/10.1016/j.jamda.2016.09.013

    PubMed  Google Scholar 

  40. Van Kan, G. A.; Rolland, Y.; Bergman, H.; Morley, J.; Kritchevsky, S.; Vellas, B.; Panel, G. A. Frailty assessment of older people in clinical practice expert opinion of a geriatric advisory panel The Journal of Nutrition Health and Aging 2008, 12, 29–38. doi: https://doi.org/10.1007/bf02982161

    Article  Google Scholar 

  41. Ma, L.; Wang, J.; Li, Y. Insulin resistance and cognitive dysfunction. Clinica chimica acta 2015, 444, 18–23. doi: https://doi.org/10.1016/j.cca.2015.01.027

    Article  CAS  Google Scholar 

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Acknowledgement

This research was supported by a grant of the Korea Health Technology R & D Project through the Korean Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HI15C3153) and a National Research Foundation of Korea funded by the Ministry of Education (NRF-2017R1A2B4012775).

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Correspondence to Chang Won Won or Youn-Jung Kim.

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Park, JM., Lee, J., Kim, Y. et al. Calorie Intake and Cognitive Function in the Elderly: Data from the Korean Frailty and Aging Cohort Study (KFACS). J Nutr Health Aging 23, 930–936 (2019). https://doi.org/10.1007/s12603-019-1249-z

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