Influence of Lifestyles on Mild Cognitive Impairment: A Decision Tree Model Study
Received 3 June 2020
Accepted for publication 20 August 2020
Published 28 October 2020 Volume 2020:15 Pages 2009—2017
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Zhi-Ying Wu
Zongqiu Wang,1,* Jiwen Hou,2,* Yu Shi,3 Qiaowen Tan,1 Lin Peng,1 Zhiying Deng,1 Zhihong Wang,1 Zongjun Guo1
1Department of Geriatrics, The Affiliated Hospital of Qingdao University, Qingdao, People’s Republic of China; 2Department of Geriatrics, The Affiliated Hospital of Chengdu University, Chengdu, People’s Republic of China; 3Department of Critical Medicine, Weihai Central Hospital, Weihai, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Zongjun Guo
Department of Geriatrics, The Affiliated Hospital of Qingdao University, No. 16 Jiangsu Road, Qingdao, Shandong 266003, People’s Republic of China
Objective: To explore the effects of different lifestyle choices on mild cognitive impairment (MCI) and to establish a decision tree model to analyse their predictive significance on the incidence of MCI.
Methods: Study participants were recruited from geriatric and physical examination centres from October 2015 to October 2019: 330 MCI patients and 295 normal cognitive (NC) patients. Cognitive function was evaluated by the Mini-Mental State Examination Scale (MMSE) and Clinical Dementia Scale (CDR), while the Barthel Index (BI) was used to evaluate life ability. Statistical analysis included the χ2 test, logistic regression, and decision tree. The ROC curve was drawn to evaluate the predictive ability of the decision tree model.
Results: Logistic regression analysis showed that low education, living alone, smoking, and a high-fat diet were risk factors for MCI, while young age, tea drinking, afternoon naps, social engagement, and hobbies were protective factors for MCI. Social engagement, a high-fat diet, hobbies, living condition, tea drinking, and smoking entered all nodes of the decision tree model, with social engagement as the root node variable. The importance of predictive variables in the decision tree model showed social engagement, a high-fat diet, tea drinking, hobbies, living condition, and smoking as 33.57%, 27.74%, 22.14%, 11.94%, 4.61%, and 0%, respectively. The area under the ROC curve predicted by the decision tree model was 0.827 (95% CI: 0.795∼ 0.856).
Conclusion: The decision tree model has good predictive ability. MCI was closely related to lifestyle; social engagement was the most important factor in predicting the occurrence of MCI.
Keywords: lifestyle, behaviours habit, mild cognitive impairment, influencing factors, decision tree model
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