ArticleClinical interventions in aging2020
Influence of Lifestyles on Mild Cognitive Impairment: A Decision Tree Model Study.
Article in Clinical interventions in aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 24 citations in OpenAlex.
- Towards cost-effective cognitive impairment diagnosis systems by emulating doctors' reasoning with deep reinforcement learning.BMC geriatrics · 2025Article
- Appraisal of Clinical Explanatory Variables in Subtyping of Type 2 Diabetes Using Machine Learning Models.Journal of clinical medicine · 2025Article
- The mediating role of coping style in the relationship between optimism and cognitive impairment in patients with stroke.Frontiers in neurology · 2025Article
- Risk of Microvascular Complications in Newly Diagnosed Type 2 Diabetes Patients Using Automated Machine Learning Prediction Models.Journal of clinical medicine · 2024Article
- Establishment of a mild cognitive impairment risk model in middle-aged and older adults: a longitudinal study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Article
- Transcranial Magnetic Stimulation Combined with Auricular Point Pressure Bean on Emotional Disorders in Elderly Patients after Intracerebral Hemorrhage Surgery: A Retrospective Cohort Study.Alpha psychiatry · 2024Article
- Characterizing the post-traumatic growth trajectory in gastric cancer survivors: a population-based longitudinal study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Lifestyle Influence on Mild Cognitive Impairment Progression: A Decision Tree Prediction Model Study.Neuropsychiatric disease and treatment · 2024Article
- A nomogram for individualized prediction of mild cognitive impairment in patients with subjective cognitive decline during physical examinations: a cross-sectional study.Frontiers in aging neuroscience · 2024Article
- Physical activity, sleep disorders, and type of work in the prevention of cognitive function decline in patients with hypertension.BMC public health · 2023Article
- Analysis of Factors Associated with Subjective Mild Cognitive Impairment (MCI) among Older Adults Resident in the Community.International journal of environmental research and public health · 2022Article
- The Prevalence of Amnestic and Non-Amnestic Mild Cognitive Impairment and Its Association with Different Lifestyle Factors in a South Italian Elderly Population.International journal of environmental research and public health · 2022Article
- Prevalence, Influencing Factors, and Clinical Characteristics of Cognitive Impairment in Elderly Patients With Schizophrenia.Frontiers in psychiatry · 2022Article
- Association Between Internet Use, Cognitive Function, and Globus Pallidus Volumes: A Study Among the Elderly in Chinese Communities.Frontiers in public health · 2022Article
- Using machine learning algorithms for predicting cognitive impairment and identifying modifiable factors among Chinese elderly people.Frontiers in aging neuroscience · 2022Article
- Impacts of stroke and cognitive impairment on activities of daily living in the Taiwan longitudinal study on aging.Scientific reports · 2021Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo 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.
methodsStudy 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
resultsLogistic 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).
conclusionThe 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.
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