Influence of Lifestyles on Mild Cognitive Impairment: A Decision Tree Model Study

References

• Petersen RC, Smith GE, Waring SC, et al. Mild cognitive impairment: clinical characterization and outcome. Arch Neurol. 1999;56(3):303–308. doi:10.1001/archneur.56.3.30310190820
   PubMed Web of Science ®Google Scholar
• Peterson RC, Lepez O, Armstrong MJ, et al. Practice guideline update summary: mild cognitive impairment: report of the guideline development, dissemination, and implementation subcommittee of the American Academy of Neurology. Neurol. 2018;90(3):126–135. doi:10.1212/WNL.0000000000004826
   Web of Science ®Google Scholar
• Langa KM, Levine DA. The diagnosis and management of mild cognitive impairment: a clinical review. JAMA. 2014;312(23):2551–2561. doi:10.1001/jama.2014.1380625514304
   PubMed Web of Science ®Google Scholar
• Gonzalez HM, Tarraf W, Schneiderman N, et al. Prevalence and correlates of mild cognitive impairment among diverse Hispanics/Latinos: study of Latinos-investigation of neurocognitive aging results. Alzheimers Dement. 2019;15(12):1507–1515. doi:10.1016/j.jalz.2019.08.20231753701
   PubMed Web of Science ®Google Scholar
• Kuhn M, Johnson K. Applied Predictive Modeling. Vol. 13 Nonlinear classification models; 2013:329–367.
   Google Scholar
• Lemen SC, Roy J, Clark MA, Friedmann PD, Rakowski W. Classification and regression tree analysis in public health: methodological review and comparison with logistic regression. Ann Behav Med. 2003;26(3):172–181. doi:10.1207/S15324796ABM2603_0214644693
   PubMed Web of Science ®Google Scholar
• Tufféry S. Data Mining and Statistics for Decision Making. 1st ed. John Wiley & Sons, Ltd; 2011.
   Google Scholar
• Yong HH, Karmakar C, Borland R, Kusmaker S, Fuller-Tyszkiewicz M, Yearwood J. Identifying smoker subgroups with high versus low smoking cessation attempt probability: a decision tree analysis approach. Addict Behav. 2020;103:106258. doi:10.1016/j.addbeh.2019.10625831884376
   PubMed Web of Science ®Google Scholar
• Li H, Wu TT, Yang DL, et al. Decision tree model for predicting in-hospital cardiac arrest among patients admitted with acute coronary syndrome. Clin Cardiol. 2019;42(11):1087–1093. doi:10.1002/clc.2325531509271
   PubMed Web of Science ®Google Scholar
• Pei D, Zhang C, Quan Y, Guo Q. Identification of potential type II diabetes in a Chinese population with a sensitive decision tree approach. J Diabetes Res. 2019;2019:1–7. doi:10.1155/2019/4248218
   Web of Science ®Google Scholar
• Brims FJ, Meniawy TM, Duffus I, et al. A novel clinical prediction model for prognosis in malignant pleural mesothelioma using decision tree analysis. J Thorac Oncol. 2016;11(4):573–582. doi:10.1016/j.jtho.2015.12.10826776867
   PubMed Web of Science ®Google Scholar
• Wang X, Guo ZJ, Zhang WQ, et al. Study on the decision tree model for risk factors of vascular cognitive impairment. Chin J Behav Med Brain Sci. 2017;26(6):534–538.
   Google Scholar
• Solfrizzi V, D’Introno A, Colacicco AM, et al. Lifestyle-related factors, alcohol consumption, and mild cognitive impairment. J Am Geriatr Soc. 2007;55(10):1679–1681. doi:10.1111/j.1532-5415.2007.01313.x17908071
   PubMed Web of Science ®Google Scholar
• Wingbermuhle R, Wen KX, Wolters FJ, Ikram MA, Bos D. Smoking, APOE genotype, and cognitive decline: the Rotterdam study. J Alzheimers D. 2017;57(4):1191–1195. doi:10.3233/JAD-170063
   Web of Science ®Google Scholar
• Falck RS, Davis JC, Best JR, Crockett RA, Liu-Ambrose T. Impact of exercise training on physical and cognitive function among older adults: a systematic review and meta-analysis. Neurobiol Aging. 2019;79:119–130. doi:10.1016/j.neurobiolaging.2019.03.00731051329
   PubMed Web of Science ®Google Scholar
• Albert M, DeKosky S, Dickson D,etal. The diagnosis of mild cognitive impairment due to Alzheimer s disease:recommendations from the National Institute on Aging-Alzheimers association workgroups on diagnostic guidelines for Alzheimers Dement. 2011;7(3):270–279. doi:10.1016/j.jalz.2011.03.008
   Google Scholar
• Hunter SW, Divine A, Frengopoulos C, Montero Odasso M. A framework for secondary cognitive and motor tasks in dual-task gait testing in people with mild cognitive impairment. BMC Geriatr. 2018;18(1):202. doi:10.1186/s12877-018-0894-030176796
   PubMed Web of Science ®Google Scholar
• Snitz BE, Wang T, Cloonan YK, et al. Risk of progression from subjective cognitive decline to mild cognitive impairment: the role of study setting. Alzheimers Dement. 2018;14(6):734–742. doi:10.1016/j.jalz.2017.12.00329352855
   PubMed Web of Science ®Google Scholar
• Zhang ZX, Hong X, Li H, et al. The mini-mental state examination in the Chinese residents population aged 55 years and over in the urban and rural areas of Beijing. Chin J Neurol. 1999;32(3):149–153.
   Google Scholar
• Morris JC. The Clinical Dementia Rating (CDR): current version and scoring rules. Neurol. 1993;43(11):2412–2414. doi:10.1212/WNL.43.11.2412-a
   PubMed Web of Science ®Google Scholar
• Mahoney FI, Barthel DW. Functional evaluation: the barthel index. Md State Med J. 1965;14:61–65.
   PubMedGoogle Scholar
• Su XN, Hua QZ, Zhang L, Li NN, Cheng JH, Zhang LP. Influencing factors of mild cognitive impairment of seniors in communities of Xi’an. J Nurs. 2013;11:10–13.
   Google Scholar
• Fu C, Yang F, Mao ZF. Mild cognitive impairment and its influencing factors of empty nest elderly in social district of Wuhan. Chin J Gerontology. 2018;38(23):220–222.
   Google Scholar
• Li X, Ma C, Zhang J, et al. Prevalence of and potential risk factors for mild cognitive impairment in community-dwelling residents of Beijing. J Am Geriatr Soc. 2013;61(12):2111–2119. doi:10.1111/jgs.1255224479143
   PubMed Web of Science ®Google Scholar
• Bourassa KJ, Memel M, Woolverton C, Sbarra DA. Social participation predicts cognitive functioning in aging adults over time: comparisons with physical health, depression, and physical activity. Aging Ment Health. 2017;21(2):133–146. doi:10.1080/13607863.2015.108115226327492
   PubMed Web of Science ®Google Scholar
• Stern Y, Barulli D. Cognitive reserve. Neuropsychologia. 2009;47(10):2015–2028. doi:10.1016/j.neuropsychologia.2009.03.00419467352
   PubMed Web of Science ®Google Scholar
• Gamba P, Testa G, Gargiulo S, et al. Oxidized cholesterol as the driving force behind the development of alzheimer’s disease. Front Aging Neurosci. 2015;7:119. doi:10.3389/fnagi.2015.0011926150787
   PubMed Web of Science ®Google Scholar
• Whitmer RA, Sidney S, Selby J, Johnston SC, Yaffe K. Midlife cardiovascular risk factors and risk of dementia in late life. Neurology. 2005;64(2):277–281. doi:10.1212/01.WNL.0000149519.47454.F215668425
   PubMed Web of Science ®Google Scholar
• Stern Y. Cognitive reserve in ageing and alzheimer’s disease. Lancet Neurol. 2012;11(11):1006–1012. doi:10.1016/S1474-4422(12)70191-623079557
   PubMed Web of Science ®Google Scholar
• Zhu XY, Qiu CX, Zeng Y, Li J. Leisure activities, education, and cognitive impairment in Chinese older adults: a population-based longitudinal study. Int Psychogeriatr. 2017;29(5):727–739. doi:10.1017/S104161021600176928067190
   PubMed Web of Science ®Google Scholar
• Xie LQ, Deng YL, Tang Y, Zhou J. The status quo of resilience in empty-nest elderly with mild cognitive impairment in the rural area and path analysis on the influencing factors. Chin J Behav Med Brain Sci. 2015;24(1):66–68.
   Google Scholar
• Qi GY, Mi YS, Wang YW, et al. Neuroprotective action of tea polyphenols on oxidative stress-induced apoptosis through the activation of the TrkB/CREB/BDNF pathway and Keap1/Nrf2 signaling pathway in SH-SY5Y cells and mice brain. Food Funct. 2017;8(12):4421–4432. doi:10.1039/C7FO00991G29090295
   PubMed Web of Science ®Google Scholar
• Reitz C, den Heijer T, van Dujin C, Hofman A, Breteler MM. Relation between smoking and risk of dementia and alzheimer disease: the Rotterdam Study. Neurol. 2007;69(10):998–1005. doi:10.1212/01.wnl.0000271395.29695.9a
   Web of Science ®Google Scholar
• Lobo V, Patil A, Phatak A, Chandra N. Free radicals, antioxidants and functional foods: impact on human health. Phcog Rev. 2010;4(8):118–126. doi:10.4103/0973-7847.7090222228951
   PubMedGoogle Scholar