The Impact of Diet Type on Weight Loss in Patients with Alzheimer’s Disease

1. McKhann, GM, Knopman, DS, Chertkow, H, et al. 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. 2011;7(3):263-269. doi:10.1016/j.jalz.2011.03.005.
Google Scholar | Crossref | Medline | ISI2. MHLW Grants System . 2014. https://mhlw-grants.niph.go.jp/niph/search/NIDD00.do?resrchNum=201405037A. Accessed February 23, 2021.
Google Scholar3. Cipriani, G, Carlesi, C, Lucetti, C, Danti, S, Nuti, A. Eating behaviors and dietary changes in patients with dementia. Am J Alzheimers Dis Other Demen. 2016;31(8):706-716. doi:10.1177/1533317516673155.
Google Scholar | SAGE Journals | ISI4. Doorduijn, AS, van de Rest, O, van der Flier, WM, Visser, M, de van der Schueren, MAE. Energy and protein intake of Alzheimer’s disease patients compared to cognitively normal controls: Systematic review. J Am Med Dir Assoc. 2019;20(1):14-21. doi:10.1016/j.jamda.2018.06.019.
Google Scholar | Crossref | Medline5. Agarwal, E, Miller, M, Yaxley, A, Isenring, E. Malnutrition in the elderly: A narrative review. Maturitas. 2013;76(4):296-302. doi:10.1016/j.maturitas.2013.07.013.
Google Scholar | Crossref | Medline6. de Sousa, OV, Mendes, J, Amaral, TF. Nutritional and functional indicators and their association with mortality among older adults with Alzheimer’s disease. Alzheimers Dis Other Demen. 2020;35:1-10. doi:10.1177/1533317520907168.
Google Scholar | SAGE Journals7. Venturelli, M, Cè, E, Limonta, E, et al. Possible predictors of involuntary weight loss in patients with Alzheimer’s disease. PLoS One. 2016;11(6):e0157384. doi:10.1371/journal.pone.0157384.
Google Scholar | Crossref | Medline8. Japanese Society for Parenteral & Eternal Nutrition . Japanese Society for Parenteral & Eternal Nutrition Guideline. 3rd ed. Tokyo: Shorinsha; 2013:P388.
Google Scholar9. Nakamura, T . Threshold of daily energy and protein requirements to prevent weight loss in patients with Alzheimer’s disease in Japan. Austin J Nutr Metab. 2021;8(2):1106.
Google Scholar10. Amano, N, Nakamura, T. Accuracy of the visual estimation method as a predictor of food intake in Alzheimer’s patients provided with different types of food. Clin Nutr ESPEN. 2018;23:122-128. doi:10.1016/j.clnesp.2017.11.003.
Google Scholar | Crossref | Medline11. Ministry of Health, Labour and Welfare . Dietary reference intakes for Japanese. 2015. https://www.mhlw.go.jp/file/06-Seisakujouhou-10900000-Kenkoukyoku/Full_DRIs2015.pdf.
Google Scholar12. The Japan Diabetes Society . http://www.jds.or.jp/. http://www.jds.or.jp/.
Google Scholar13. Kai, K, Hashimoto, M, Amano, K, Tanaka, H, Fukuhara, R, Ikeda, M. Relationship between eating disturbance and dementia severity in patients with Alzheimer’s disease. PLoS One. 2015;10(8):e0133666. doi:10.1371/journal.pone.0133666.
Google Scholar | Crossref | Medline | ISI14. Arce-McShane, FI . The association between age-related changes in oral neuromechanics and Alzheimer’s Disease. Adv Geriatr Med Res. 2021;3(2):e210011. doi:10.20900/agmr20210011.
Google Scholar | Crossref | Medline15. Nakamura, T, Amano, N. Proposal for preventing malnutrition in individuals on a texture-modified diet. Nutrition and Health. 2019;25(4):241-243. doi:10.1177/0260106019871732.
Google Scholar | SAGE Journals16. Wu, XS, Miles, A, Braakhuis, A. Nutritional intake and meal composition of patients consuming texture modified diets and thickened fluids: A systematic review and meta-analysis. Healthcare (Basel). 2020;8(4):579. doi:10.3390/healthcare8040579.
Google Scholar | Crossref17. McKhann, G, Drachman, D, Folstein, M, Katzman, R, Price, D, Stadlan, EM. Clinical diagnosis of Alzheimer’s disease: Report of the NINCDS-ADRDA Work Group* under the auspices of department of health and human services task force on Alzheimer’s disease. Neurology. 1984;34(7):939-944. doi:10.1212/wnl.34.7.939.
Google Scholar | Crossref | Medline | ISI18. Folstein, MF, Folstein, SE, McHugh, PR. “Mini-Mental State”. A practical method for grading the cognitive state of patients for clinicians. J Psychiatr Res. 1975;12(3):189-198. doi:10.1016/0022-3956(75)90026-6.
Google Scholar | Crossref | Medline | ISI19. Mahoney, FI, Barthel, DW. Functional evaluation: The Barthel index. Md State Med J. 1965;14:61-65.
Google Scholar | Medline20. Huhmann, MB, Perez, V, Alexander, DD, Thomas, DR. A self-completed nutrition screening tool for community-dwelling older adults with high reliability: A comparison study. J Nutr Health Aging. 2013;17(4):339-344. doi:10.1007/s12603-013-0015-x.
Google Scholar | Crossref | Medline21. Fuhrman, MP, Charney, P, Mueller, CM. Hepatic proteins and nutrition assessment. J Am Diet Assoc. 2004;104(8):1258-1264. doi:10.1016/j.jada.2004.05.213.
Google Scholar | Crossref | Medline22. Özsürekci, C, Arslan, SS, Demir, N, et al.. Timing of dysphagia screening in Alzheimer’s Dementia. JPEN J Parenter Enteral Nutr. 2020;44(3):516-524. doi:10.1002/jpen.1664.
Google Scholar | Crossref | Medline23. Andersen, UT, Beck, AM, Kjaersgaard, A, Hansen, T, Poulsen, I. Systematic review and evidence based recommendations on texture modified foods and thickened fluids for adults (≥18 years) with oropharyngeal dysphagia. e-SPEN J. 2013;8:e127-e134. doi:10.1016/j.clnme.2013.05.003.
Google Scholar | Crossref24. Volkert, D, Chourdakis, M, Faxen-Irving, G, et al. ESPEN guidelines on nutrition in dementia. Clin Nutr. 2015;34(6):1052-1073. doi:10.1016/j.clnu.2015.09.004.
Google Scholar | Crossref | Medline | ISI25. Edahiro, A, Hirano, H, Yamada, R, et al. Factors affecting independence in eating among elderly with Alzheimer’s disease. Geriatr Gerontol Int. 2012;12(3):481-490. doi:10.1111/j.1447-0594.2011.00799.x.
Google Scholar | Crossref | Medline | ISI26. Sulmont-Rossé, C, Gaillet, M, Raclot, C, Duclos, M, Servelle, M, Chambaron, S. Impact of olfactory priming on food intake in an Alzheimer’s disease unit. J Alzheimers Dis. 2018;66(4):1497-1506. doi:10.3233/JAD-180465.
Google Scholar | Crossref | Medline27. Morino, K, Kondo, K, Tanaka, S, et al. Total energy expenditure is comparable between patients with and without diabetes mellitus: Clinical evaluation of energy requirements in patients with diabetes mellitus (CLEVER-DM) study. BMJ Open Diabetes Res Care. 2019;7(1):e000648.
Google Scholar | Medline28. Nishino, K, Sakurai, M, Takeshita, Y, Takamura, T. Consuming carbohydrates after meat or vegetables lowers postprandial excursions of glucose and insulin in nondiabetic subjects. J Nutr Sci Vitaminol. 2018;64(5):316-320. doi:10.3177/jnsv.64.316.
Google Scholar | Crossref | Medline29. Shimizu, A, Maeda, K, Tanaka, K, Ogawa, M, Kayashita, J. Texture-modified diets are associated with decreased muscle mass in older adults admitted to a rehabilitation ward. Geriatr Gerontol Int. 2018;18(5):698-704. doi:10.1111/ggi.13233.
Google Scholar | Crossref | Medline30. Meyer, F, Valentini, L. Disease-related malnutrition and sarcopenia as determinants of clinical outcome. Visceral Medicine. 2019;35(5):282-291. doi:10.1159/000502867.
Google Scholar | Crossref | Medline31. Deutz, NEP, Ashurst, I, Ballesteros, MD, et al. The underappreciated role of low muscle mass in the management of malnutrition. J Am Med Dir Assoc. 2019;20(1):22-27. doi:10.1016/j.jamda.2018.11.021.
Google Scholar | Crossref | Medline32. Beck, AM, Kjaersgaard, A, Hansen, T, Poulsen, I. Systematic review and evidence based recommendations on texture modified foods and thickened liquids for adults (above 17 years) with oropharyngeal dysphagia - an updated clinical guideline. Clin Nutr. 2018;37(6 Pt A):1980-1991. doi:10.1016/j.clnu.2017.09.002.
Google Scholar | Crossref | Medline33. Shimizu, A, Fujishima, I, Maeda, K, et al. Texture-modified diets are associated with poor appetite in older adults who are admitted to a post-acute rehabilitation hospital. J Am Med Dir Assoc. 2021;22(9):1960-1965. doi:10.1016/j.jamda.2021.05.018.
Google Scholar | Crossref | Medline34. Iwasaki, M, Yoshihara, A, Ito, K, et al. Hyposalivation and dietary nutrient intake among community-based older Japanese. Geriatr Gerontol Int. 2016;16(4):500-507. doi:10.1111/ggi.12500.
Google Scholar | Crossref | Medline35. Fong, R, Wong, SWK, Chan, JKL, Tong, MCF, Lee, KYS. Efficacy of a comprehensive dysphagia intervention program tailored for the residents of nursing homes. J Frailty Aging. 2021;10(2):156-159. doi:10.14283/jfa.2020.56.
Google Scholar | Crossref | Medline36. Mathewson, SL, Azevedo, PS, Gordon, AL, et al. Overcoming protein-energy malnutrition in older adults in the residential care setting: A narrative review of causes and interventions. Ageing Res Rev. 2021;70:101401. doi:10.1016/j.arr.2021.101401.
Google Scholar | Crossref | Medline37. Hara, Y, Nakane, A, Tohara, H, et al. Cervical interferential current transcutaneous electrical sensory stimulation for patients with dysphagia and dementia in nursing homes. Clin Interv Aging. 2021;15:2431-2437. doi:10.2147/CIA.S274968.
Google Scholar | Crossref | Medline38. Lee, SY, Park, D, Jang, J, et al. Compensatory effects of sequential 4-channel neuromuscular electrical stimulation for the treatment of acute, subacute, and chronic dysphagia in a prospective, double-blinded randomized clinical trial. Neurorehabil Neural Repair. 2021;35(9):801-811. doi:10.1177/15459683211029891.
Google Scholar | SAGE Journals

留言 (0)

沒有登入
gif