進階搜尋


   電子論文尚未授權公開,紙本請查館藏目錄
(※如查詢不到或館藏狀況顯示「閉架不公開」,表示該本論文不在書庫,無法取用。)
系統識別號 U0026-2102202003085800
論文名稱(中文) 台灣老年人飲食類型與認知功能之相關研究
論文名稱(英文) The Relationship Between Dietary Pattern and Cognitive Function in Older Adults: a Population-based Study in Taiwan
校院名稱 成功大學
系所名稱(中) 公共衛生研究所碩士在職專班
系所名稱(英) Graduate Institute of Public Health(on the job class)
學年度 108
學期 1
出版年 109
研究生(中文) 田詩亭
研究生(英文) Shih-Ting Tien
學號 SB7061057
學位類別 碩士
語文別 中文
論文頁數 71頁
口試委員 口試委員-林聖翔
召集委員-邱靜如
指導教授-胡淑貞
中文關鍵字 飲食類型/模式  認知功能  老年人  國民營養調查 
英文關鍵字 Dietary pattern  Cognitive impairment  Elderly  Nutrition and Health Survey in Taiwan 
學科別分類
中文摘要 背景:醫療科技的進步使得人類平均餘命延長,老年人口逐漸增加,因此老化產生的健康問題備受重視。其中,認知功能衰退是影響老年人健康的重要因子,過去西方研究指出健康飲食、地中海飲食與較好的認知功能相關,然而東方國家在飲食習慣和飲食文化與西方國家有顯著差異,特別是台灣地區針對老年人相關的飲食類型與認知功能的相關研究尚不足。
目的:以主成份分析方法得出台灣65歲以上老年人的飲食類型,依性別探討不同的飲食類型與認知功能的相關性,並了解影響認知功能相關因素的特徵分布情形(社會人口學、健康行為、健康狀態)。
方法:本研究為橫斷面調查研究,探討台灣65歲以上老年人的飲食類型與認知功能的相關性。資料來源使用「台灣國民營養健康狀況變遷調查」2005-2008年資料庫,樣本納入條件為65歲以上的台灣老年人(n=1547),排除非本人回答飲食問卷、失智者、以及SPMSQ有2題以上沒有回答者,最終樣本為1294位。依變項使用簡易心智量表(SPMSQ)作為評估認知功能的工具,自變項為飲食類型。飲食資料的收集79項食物的飲食頻率問卷合併成22類食物,依不同性別利用主成份分析方法進行飲食類型的分類,每種飲食類型再切低中高三組進行統計分析。統計採用多變量線性迴歸分析探討不同飲食類型對認知功能分數(總分0-9分)的影響,以及多變量羅吉斯迴歸分析探討不同飲食類型對發生認知功能障礙(SPMSQ<6分)的影響。
結果:台灣65歲以上老年人的飲食類型依性別可個別分為5種,男性飲食類型為全穀奶類、家禽加工類、黃豆堅果類、紅肉海產類、魚根莖類」。女性飲食類型為紅肉內臟類、全穀奶類、蔬菜魚類、黃豆雞蛋類、根莖米麵類。研究結果顯示男性、女性各有一類飲食類型與認知功能達顯著差異,其中,男性攝取紅肉海產類、女性攝取全穀奶類的食物,與較好的認知功能分數有顯著的相關。若將認知功能切組探討是否有認知障礙(SPMSQ<6),則男性攝取紅肉海產類的食物可降低83%發生認知障礙的勝算比(OR=0.17, 95% CI=0.04-0.61),女性則沒有觀察到任何一個飲食類型與認知功能障礙的發生有相關。
結論:本研究結果顯示台灣老年人有不同種的飲食類型,男性多攝取紅肉、海產、蔬菜、茶葉,女性多攝取穀物、乳製品類、餅乾零食、堅果種子會有較好的認知功能。本研究建議政府可鼓勵民眾多攝取這類食物,並在公共衛生政策上訂定相關的飲食預防與宣導策略。
英文摘要 The objectives of this study were to identify dietary patterns of older adults and to examine its relationship between dietary patterns and cognitive function in Taiwan. This was a population-based cross-sectional study, using the data from 2005-2008 "Nutrition and Health Survey in Taiwan". There were 1294 (657 men and 637 women) subjects aged ≥ 65. Cognitive function was assessed by Simple Portable Mental Status Questionnaire (SPMSQ). Dietary data were collected using a 79-items food frequency questionnaire. Principal component analysis was performed to identify dietary patterns in each gender. Five dietary patters were identified and labeled separately based on food items with highest loadings. The results showed that “red meat and seafood” patterns (characterized by high intakes of red meat, seafood product, vegetables and tea) in men and “whole-grain and milk” patterns (characterized by high intakes of whole-grain, milk, snacks, nuts) in women were associated with better cognitive scores. In men, highest tertile of “red meat, seafood” pattern was associated with reduced risk of cognitive impairment (adjusted OR=0.17, 95% CI=0.04-0.61) compared with the lowest tertile. There was no association of dietary pattern with risk of cognitive impairment in women. This study showed that specific dietary patterns were significantly associated with cognitive function in Taiwanese older adults. This study suggest that men consume red meat, seafood products, vegetables, tea, while women consume whole-grain and milk will have lower risk of cognitive impairment. However, since our study is a cross-sectional design, there still needs further research to confirm this finding.
論文目次 中文摘要 i
The Relationship Between Dietary Pattern and Cognitive Function in Older Adults: a Population-based Study in Taiwan ii
誌謝 v
表目錄 vii
圖目錄 viii
第壹章 前言 1
第一節 研究重要性 1
第二節 研究目的 3
第三節 名詞中英文對照 3
第貳章 文獻回顧 4
第一節 人口老化與失智的嚴重性 4
第二節 認知功能的定義、診斷與測量 6
第三節 飲食的類型 9
第四節 飲食類型對認知功能的影響 14
第參章 研究方法 27
第一節 資料來源與研究對象 27
第二節 研究設計與研究架構 29
第三節 研究變項及定義 31
第四節 統計分析方法 34
第肆章 研究結果 36
第一節 研究樣本描述 36
第二節 飲食攝取的描述分析 41
第三節 不同性別的飲食類型與認知功能雙變數分析 46
第四節 認知功能之多變量迴歸分析 49
第伍章 討論 56
第一節 主要研究發現 56
第二節 研究結果的解釋與對話 58
第三節 研究優勢與限制 62
參考文獻: 64
參考文獻 Abbatecola, A. M., Russo, M., & Barbieri, M. (2018). Dietary patterns and cognition in older persons. Curr Opin Clin Nutr Metab Care, 21(1), 10-13. doi:10.1097/MCO.0000000000000434
Aridi, Y. S., Walker, J. L., & Wright, O. R. L. (2017). The association between the mediterranean dietary pattern and cognitive health: A systematic review. Nutrients, 9(7). doi:10.3390/nu9070674
Ashby-Mitchell, K., Peeters, A., & Anstey, K. J. (2015). Role of dietary pattern analysis in determining cognitive status in elderly Australian adults. Nutrients, 7(2), 1052-1067. doi:10.3390/nu7021052
Association, A. s. (2018). 2018 Alzheimer's disease facts and figures. Alzheimer's & Dementia, 14(3), 367-429. doi:10.1016/j.jalz.2018.02.001
Barbour, J. A., Howe, P. R., Buckley, J. D., Bryan, J., & Coates, A. M. (2014). Nut consumption for vascular health and cognitive function. Nutr Res Rev, 27(1), 131-158. doi:10.1017/S0954422414000079
Barnes, D. E., & Yaffe, K. (2011). The projected effect of risk factor reduction on Alzheimer's disease prevalence. The Lancet Neurology, 10(9), 819-828. doi:10.1016/s1474-4422(11)70072-2
Baumgart, M., Snyder, H. M., Carrillo, M. C., Fazio, S., Kim, H., & Johns, H. (2015). Summary of the evidence on modifiable risk factors for cognitive decline and dementia: A population-based perspective. Alzheimer's and Dementia, 11(6), 718-726. doi:10.1016/j.jalz.2015.05.016
Beilharz, J. E., Maniam, J., & Morris, M. J. (2015). Diet-Induced Cognitive Deficits: The Role of Fat and Sugar, Potential Mechanisms and Nutritional Interventions. Nutrients, 7(8), 6719-6738. doi:10.3390/nu7085307
Cespedes, E. M., & Hu, F. B. (2015). Dietary patterns: from nutritional epidemiologic analysis to national guidelines. Am J Clin Nutr, 101(5), 899-900. doi:10.3945/ajcn.115.110213
Chen, K., Chen, T.-B., Yiao, S.-Y., Sun, Y., Lee, H.-J., Yang, S.-C., . . . Wang, P.-N. (2017). Comorbidity and dementia: A nationwide survey in Taiwan. Plos One, 12(4), e0175475. doi:10.1371/journal.pone.0175475
Chen, X., Maguire, B., Brodaty, H., & O'Leary, F. (2019). Dietary Patterns and Cognitive Health in Older Adults: A Systematic Review. J Alzheimers Dis, 67(2), 583-619. doi:10.3233/JAD-180468
Chen, Y. C., Jung, C. C., Chen, J. H., Chiou, J. M., Chen, T. F., Chen, Y. F., . . . Lee, M. S. (2017). Association of Dietary Patterns With Global and Domain-Specific Cognitive Decline in Chinese Elderly. J Am Geriatr Soc, 65(6), 1159-1167. doi:10.1111/jgs.14741
Chi, I., & Boey, K. W. (1993). Hong Kong Validation of Measuring Instruments of Mental Health Status of the Elderly. Clinical Gerontologist, 13(4), 35-51. doi:10.1300/J018v13n04_04
Christy C. Tangney, P. H. L., MS, Yamin Wang, PhD, Lisa Barnes, PhD, Julie A. Schneider, MD David A. Bennett, MD Martha C. Morris, ScD. (2014). Relation of DASH-and Mediterranean-like dietary patterns to cognitive decline in older persons. American Academy of Neurology, 83(16):1410-6. doi:10.1212/WNL.0000000000000884.
Chuang, S. Y., Lo, Y. L., Wu, S. Y., Wang, P. N., & Pan, W. H. (2019). Dietary Patterns and Foods Associated With Cognitive Function in Taiwanese Older Adults: The Cross-sectional and Longitudinal Studies. J Am Med Dir Assoc, 20(5), 544-550 e544. doi:10.1016/j.jamda.2018.10.017
Crichton, G. E., Elias, M. F., Dore, G. A., & Robbins, M. A. (2012). Relation between dairy food intake and cognitive function: The Maine-Syracuse Longitudinal Study. Int Dairy J, 22(1), 15-23. doi:10.1016/j.idairyj.2011.08.001
Emmanuelle, E. K., Andreeva, V. A., Jeandel, C., Ferry, M., Hercberg, S., & Galan, P. (2012). A healthy dietary pattern at midlife is associated with subsequent cognitive performance. Journal of Nutrition, 142(5), 909-915. doi:10.3945/jn.111.156257
Eshkoor, S. A., Hamid, T. A., Mun, C. Y., & Ng, C. K. (2015). Mild cognitive impairment. and its management in older people. Clinical interventions in aging, 10:687-93. doi: 10.2147/CIA.S73922.
Granic, A., Davies, K., Adamson, A., Kirkwood, T., Hill, T. R., Siervo, M., . . . Jaggers, C. (2016). Dietary Patterns High in Red Meat, Potato, Gravy, and Butter Are Associated with Poor Cognitive Functioning but Not with Rate of Cognitive Decline in Very Old Adults. Journal of Nutrition, 146(2), 265-274. doi:10.3945/jn.115.216952
Gu, Y., & Scarmeas, N. (2011). Dietary patterns in Alzheimer's disease and cognitive aging. Current Alzheimer Research, 8(5), 510-519. doi:10.2174/156720511796391836
Hosking, D. E., Eramudugolla, R., Cherbuin, N., & Anstey, K. J. (2019). MIND not Mediterranean diet related to 12-year incidence of cognitive impairment in an Australian longitudinal cohort study. Alzheimer's & Dementia, 15(4), 581-589. doi:10.1016/j.jalz.2018.12.011
Hu, F. B. (2002). Dietary pattern analysis- a new direction in nutritional epidemiology. Curr Opin Lipidol, 13(1):3-9.
Jennifer S. Lin, M., MCR; Elizabeth O’Connor, PhD; Rebecca C. Rossom, MD, MCR; Leslie A. Perdue, MPH; and Elizabeth Eckstrom, MD, MPH. (2013). Screening for Cognitive Impairment in Older Adults: A Systematic Review for the U.S. Preventive Services Task Force. Annals of Internal Medicine, 159(9):601-12.
Karp, A., Paillard-Borg, S., Wang, H. X., Silverstein, M., Winblad, B., & Fratiglioni, L. (2006). Mental, physical and social components in leisure activities equally contribute to decrease dementia risk. Dement Geriatr Cogn Disord, 21(2), 65-73. doi:10.1159/000089919
Kim, J., Yu, A., Choi, B. Y., Nam, J. H., Kim, M. K., Oh, D. H., . . . Yang, Y. J. (2015). Dietary patterns and cognitive function in Korean older adults. Eur J Nutr, 54(2), 309-318. doi:10.1007/s00394-014-0713-0
Kim, J., Yu, A., Choi, B. Y., Nam, J. H., Kim, M. K., Oh, D. H., & Yang, Y. J. (2015). Dietary patterns derived by cluster analysis are associated with cognitive function among Korean older adults. Nutrients, 7(6), 4154-4169. doi:10.3390/nu7064154
Langa, K. M., & Levine, D. A. (2014). The diagnosis and management of mild cognitive impairment: a clinical review. JAMA, 312(23), 2551-2561. doi:10.1001/jama.2014.13806
Laura P. Svetkey, M., MHS; Denise Simons-Morton, MD, PhD; William M. Vollmer, PhD; Lawrence J. Appel, MD, MPH; Paul R. Conlin, MD; Donna H. Ryan, MD; Jamy Ard, MD; Betty M. Kennedy; for the DASH Research Group. (1999). Effects of Dietary Patterns on Blood Pressure. Arch Intern Med, 1999 Feb 8;159(3):285-93.
Lehnert, T., Heider, D., Leicht, H., Heinrich, S., Corrieri, S., Luppa, M., . . . Konig, H. H. (2011). Review: health care utilization and costs of elderly persons with multiple chronic conditions. Med Care Res Rev, 68(4), 387-420. doi:10.1177/1077558711399580
Liese, A. D., Weis, K. E., Schulz, M., & Tooze, J. A. (2009). Food intake patterns associated with incident type 2 diabetes: the Insulin Resistance Atherosclerosis Study. Diabetes Care, 32(2), 263-268. doi:10.2337/dc08-1325
Loughrey, D. G., Lavecchia, S., Brennan, S., Lawlor, B. A., & Kelly, M. E. (2017). The Impact of the Mediterranean Diet on the Cognitive Functioning of Healthy Older Adults: A Systematic Review and Meta-Analysis. Adv Nutr, 8(4), 571-586. doi:10.3945/an.117.015495
Lukas Schwingshackl, M. G. H., PhD. (2015). Diet Quality as Assessed by the Healthy Eating Index the Alternate Healthy Eating Index the Dietary Approaches to Stop Hypertension Score and Health Outcomes SR and Meat analysis. JOURNAL OF THE ACADEMY OF NUTRITION AND DIETETICS. doi:10.1016/j.jand.2014.12.009
Marilyn S. Albert, Steven T. DeKosky, Dennis Dickson, Bruno Dubois, Howard H. Feldman, Nick C. Fox, Anthony Gamst, David M. Holtzman, William J. Jagust, Ronald C. Petersenl, Peter J. Snyder, Maria C. Carrillo, Bill Thies, and Creighton H. Phelps. (2011). The diagnosis of mild cognitive impairment 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. doi:0.1016/j.jalz.2011.03.008
Mazza, E., Fava, A., Ferro, Y., Moraca, M., Rotundo, S., Colica, C., . . . Montalcini, T. (2017). Impact of legumes and plant proteins consumption on cognitive performances in the elderly. Journal of Translational Medicine, 15(1). doi:10.1186/s12967-017-1209-5
McDowell, I., Xi, G., Lindsay, J., & Tierney, M. (2007). Mapping the connections between education and dementia. J Clin Exp Neuropsychol, 29(2), 127-141. doi:10.1080/13803390600582420
Ming-Shiang Wu, T.-H. L., Chun-Min Chen, Herng-Chia Chiu, Tzuo-Yun Lan. (2011). Socio-demographic and health-related factors associated with cognitive impairment in the elderly in Taiwan, BMC Public Health, 11:22. doi: 10.1186/1471-2458-11-22.
Morris, M. C., & Tangney, C. C. (2014). Dietary fat composition and dementia risk. Neurobiol Aging, 35 Suppl 2, S59-64. doi:10.1016/j.neurobiolaging.2014.03.038
Morris, M. C., Tangney, C. C., Wang, Y., Sacks, F. M., Barnes, L. L., Bennett, D. A., & Aggarwal, N. T. (2015). MIND diet slows cognitive decline with aging. Alzheimer's & Dementia, 11(9), 1015-1022. doi:10.1016/j.jalz.2015.04.011
Morris, M. C., Tangney, C. C., Wang, Y., Sacks, F. M., Bennett, D. A., & Aggarwal, N. T. (2015). MIND diet associated with reduced incidence of Alzheimer's disease. Alzheimers Dement, 11(9), 1007-1014. doi:10.1016/j.jalz.2014.11.009
Nikolaos Scarmeas, C. A. A., Mary Yannakoulia. (2018). Nutrition and prevention of cognitive impairment. Lancet Neurol doi:10.1016/S1474-4422(18)30338-7
Okubo, H., Inagaki, H., Gondo, Y., Kamide, K., Ikebe, K., Masui, Y., . . . Ito, N. (2017). Association between dietary patterns and cognitive function among 70-year-old Japanese elderly: A cross-sectional analysis of the SONIC study. Nutrition Journal, 16(1). doi:10.1186/s12937-017-0273-2
Ozawa, M., Ninomiya, T., Ohara, T., Hirakawa, Y., Doi, Y., Hata, J., . . . Kiyohara, Y. (2012). Self-reported dietary intake of potassium, calcium, and magnesium and risk of dementia in the Japanese: the Hisayama Study. J Am Geriatr Soc, 60(8), 1515-1520. doi:10.1111/j.1532-5415.2012.04061.x
Ozawa, M., Ohara, T., Ninomiya, T., Hata, J., Yoshida, D., Mukai, N., . . . Kiyohara, Y. (2014). Milk and dairy consumption and risk of dementia in an elderly Japanese population: the Hisayama Study. J Am Geriatr Soc, 62(7), 1224-1230. doi:10.1111/jgs.12887
Petersen, R. C., Lopez, O., Armstrong, M. J., Getchius, T. S. D., Ganguli, M., Gloss, D., . Rae-Grant, A. (2018). Practice guideline update summary: Mild cognitive impairment: Report of the Guideline Development, Dissemination, and Implementation Subcommittee of the American Academy of Neurology. Neurology, 90(3), 126-135. doi:10.1212/WNL.0000000000004826
Pfeiffer, E. (1975). A short portable mental status questionnaire for the assessment of. organic brain deficit in elderly patients. Jouranl of the American Geriatrics Society, 23(10):433-41.
Polidori, M. C., Pratico, D., Mangialasche, F., Mariani, E., Aust, O., Anlasik, T., . . . Nelles, G. (2009). High fruit and vegetable intake is positively correlated with antioxidant status and cognitive performance in healthy subjects. J Alzheimers Dis, 17(4), 921-927. doi:10.3233/JAD-2009-1114
Prince, M. J., Wu, F., Guo, Y., Robledo, L. M. G., O'Donnell, M., Sullivan, R., & Yusuf, S. (2015). The burden of disease in older people and implications for health policy and practice. The Lancet, 385(9967), 549-562.
Purser, J. L. (2005). Mild Cognitive Impairment and 10-Year Trajectories of Disability in the Iowa Established Populations for Epidemiologic Studies of the Elderly Cohort.
R.Chan, D. C., J.Woo1. (2013). A cross sectional study to examine the association between dietary patterns and cognitive impairment in older Chinese people in Hong Kong. J Nutr Health Aging, 17(9):757-65. doi: 10.1007/s12603-013-0348-5.
Rasmussen, K. L., Tybjaerg-Hansen, A., Nordestgaard, B. G., & Frikke-Schmidt, R. (2018). Absolute 10-year risk of dementia by age, sex and APOE genotype: a population-based cohort study. CMAJ, 190(35), E1033-E1041. doi:10.1503/cmaj.180066
Rinaldi, P., Polidori, M. C., Metastasio, A., Mariani, E., Mattioli, P., Cherubini, A., . . . Mecocci, P. (2003). Plasma antioxidants are similarly depleted in mild cognitive impairment and in Alzheimer’s disease. Neurobiology of Aging, 24(7), 915-919. doi:10.1016/s0197-4580(03)00031-9
Roberts, R., & Knopman, D. S. (2013). Classification and epidemiology of MCI. Clin Geriatr Med, 29(4), 753-772. doi:10.1016/j.cger.2013.07.003
Saczynski, J. S., Pfeifer, L. A., Masaki, K., Korf, E. S., Laurin, D., White, L., & Launer, L. J. (2006). The effect of social engagement on incident dementia: the Honolulu-Asia Aging Study. American Journal of Epidemiology, 163(5), 433-440. doi:10.1093/aje/kwj061
Salthouse, T. (2012). Consequences of Age-Related Cognitive Declines. Annual Review of Psychology, 63(1), 201-226. doi:10.1146/annurev-psych-120710-100328
Samieri, C., Jutand, M. A., Feart, C., Capuron, L., Letenneur, L., & Barberger-Gateau, P. (2008). Dietary patterns derived by hybrid clustering method in older people: Association with cognition, mood, and self-rated health. Journal of the American Dietetic Association, 108(9), 1461-1471. doi:10.1016/j.jada.2008.06.437
SeshadriI, S. (2002). Plasma homocysteine as a risk factor for dementia and Alzheimer’s disease. N Engl J Med, 346(7):476-83.
Shakersain, B., Santoni, G., Larsson, S. C., Faxen-Irving, G., Fastbom, J., Fratiglioni, L., & Xu, W. (2016). Prudent diet may attenuate the adverse effects of Western diet on cognitive decline. Alzheimers Dement, 12(2), 100-109. doi:10.1016/j.jalz.2015.08.002
Smith, P. J., & Blumenthal, J. A. (2016). Dietary Factors and Cognitive Decline. J Prev Alzheimers Dis, 3(1), 53-64. doi:10.14283/jpad.2015.71
Sugawara, N., Yasui-Furukori, N., Umeda, T., Tsuchimine, S., Kaneda, A., Tsuruga, K., Kaneko, S. (2015). Relationship between dietary patterns and cognitive function in a community-dwelling population in Japan. Asia Pac J Public Health, 27(2), NP2651-2660. doi:10.1177/1010539513490194
Tsai, H. J. (2015). Dietary patterns and cognitive decline in Taiwanese aged 65years and older. International Journal of Geriatric Psychiatry, 30(5), 523-530. doi:10.1002/gps.4176
Vogel, T., Dali-Youcef, N., Kaltenbach, G., & Andres, E. (2009). Homocysteine, vitamin B12, folate and cognitive functions: a systematic and critical review of the literature. Int J Clin Pract, 63(7), 1061-1067. doi:10.1111/j.1742-1241.2009.02026.x
Walters, M., Hackett, K., Caesar, E., Isaacson, R., & Mosconi, L. (2017). Role of Nutrition to Promote Healthy Brain Aging and Reduce Risk of Alzheimer’s Disease. Current Nutrition Reports, 6(2), 63-71. doi:10.1007/s13668-017-0199-5
Wang, C. C., Lu, T. H., Liao, W. C., Yuan, S. C., Kuo, P. C., Chuang, H. L., . . . Yen, C. H. (2010). Cigarette smoking and cognitive impairment: a 10-year cohort study in Taiwan. Arch Gerontol Geriatr, 51(2), 143-148. doi:10.1016/j.archger.2009.09.041
Wang, H.-X., Xu, W., & Pei, J.-J. (2012). Leisure activities, cognition and dementia. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, 1822(3), 482-491. doi:10.1016/j.bbadis.2011.09.002
Weikert, C., & Schulze, M. B. (2016). Evaluating dietary patterns: the role of reduced rank regression. Current Opinion in Clinical Nutrition and Metabolic Care, 19(5), 341-346. doi:10.1097/mco.0000000000000308
Wengreen, H., Munger, R. G., Cutler, A., Quach, A., Bowles, A., Corcoran, C., . . . Welsh-Bohmer, K. A. (2013). Prospective study of Dietary Approaches to Stop Hypertension- and Mediterranean-style dietary patterns and age-related cognitive change: the Cache County Study on Memory, Health and Aging. Am J Clin Nutr, 98(5), 1263-1271. doi:10.3945/ajcn.112.051276
Xu, X., Parker, D., Shi, Z., Byles, J., Hall, J., & Hickman, L. (2018). Dietary Pattern, Hypertension and Cognitive Function in an Older Population: 10-Year Longitudinal Survey. Front Public Health, 6, 201. doi:10.3389/fpubh.2018.00201
Yi-Chen Huang MPH, M.-S. L. D., Wen-Harn Pan PhD, Mark L Wahlqvist MD. (2011). Validation of a simplified food frequency questionnaire as used in the Nutrition and Health Survey in Taiwan (NAHSIT) for the elderly. Asia Pac J Clin Nutr, 20(1):134-40.

Yian Gu, P. J. W. N., PhD; Yaakov Stern, PhD; Jose A. Luchsinger, MD, MPH; Nikolaos. Scarmeas, MD, MS. (2010). Food Combination and Alzheimer Disease Risk. ARCH NEUROL, 67(6):699-706. doi: 10.1001/archneurol.2010.84.
Yu, F. N., Hu, N. Q., Huang, X. L., Shi, Y. X., Zhao, H. Z., & Cheng, H. Y. (2018). Dietary patterns derived by factor analysis are associated with cognitive function among a middle-aged and elder Chinese population. Psychiatry Research, 269, 640-645. doi:10.1016/j.psychres.2018.09.004
Ziad S. Nasreddine, M. (2005). The Montreal Cognitive Assessment, MoCA: A Brief. Screening Tool For Mild Cognitive Impairment. American Geriatrics Society, 53(4):695-9.
潘文涵、杜素豪. (2008). 2004-2008國民營養健康狀況調查報告. 衛生福利部國民健康署
杜素豪、陳政、謝耀德、張新儀、葉志嶸、林以勤、潘文涵. (2011). 2005-2008台灣營養健康狀況調查的調查設計與樣本特質分析. 衛生福利部國民健康署
賴冠宇. (2017). 老年人飲食蛋白質攝取與認知功能的關係. 台灣老年醫學暨老年學雜誌 12卷3期,178-190
論文全文使用權限
  • 同意授權校內瀏覽/列印電子全文服務,於2024-01-01起公開。
  • 同意授權校外瀏覽/列印電子全文服務,於2024-01-01起公開。


  • 如您有疑問,請聯絡圖書館
    聯絡電話:(06)2757575#65773
    聯絡E-mail:etds@email.ncku.edu.tw