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Updated: Jun 5, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Gender-specification lifestyle factors associated with mild cognitive impairment among young-old adults in Taiwan
Su-Wen Chuang1,2, Ching-Wen Chen2, Meng-Chang Lee2
1Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan, ROC.
Background:
The prevalence of mild cognitive impairment (MCI) exhibits a positive correlation with age, particularly evident in the old-old female population. Lifestyle factors have been identified as crucial risk determinants for MCI. However, there is a scarcity of research focusing on lifestyle factors among young-old population.
Objective:
This study aimed to explore the lifestyle factors associated with MCI in young-old male and female.
Methods:
This study employed a cross-sectional design and utilized demographic and lifestyle data obtained from participants enrolled in the Taiwan Biobank (TWB) between 2008 and 2021, with 32,897 individuals aged 60 to 70 years old. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), with a total score ranging from 0 to 30 points. The cut-off of MCI scores was ≤18, ≤21, and ≤25 according to the education level, respectively. Logistic regression analysis was employed to assess the association between lifestyles and cognitive function.
Results:
3,878 individuals (11.78%) suffered from MCI. Upon gender stratification, high exercise metabolic equivalents in male (OR = 0.8, 95% CI: 0.70 - 0.92) and moderate exercise in female serve as protective factors for MCI (OR = 0.78, 95% CI: 0.70 - 0.87). Additionally, diversified dietary preferences among female (OR = 0.80, 95% CI: 0.66 - 0.97) also emerge as protective factors for cognitive function.
Conclusions:
It is worth noting that male is advised to target a higher exercise metabolic equivalent, while female can attain cognitive benefits with moderate exercise and diversified dietary.
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