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CN 34-1304/RISSN 1674-3679

Volume 28 Issue 9
Sep.  2024
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HUANG Yu, CHEN Hong, JIN Chenyang, ZHANG Yuge, JIANG Weili, ZHAO Qi, ZHU Liping, XU Biao. Cognitive health and distribution of mild cognitive impairment of women aged 45-65 in communities of Shanghai: a cross-sectional study based on Montreal cognitive assessment[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(9): 1023-1029. doi: 10.16462/j.cnki.zhjbkz.2024.09.006
Citation: HUANG Yu, CHEN Hong, JIN Chenyang, ZHANG Yuge, JIANG Weili, ZHAO Qi, ZHU Liping, XU Biao. Cognitive health and distribution of mild cognitive impairment of women aged 45-65 in communities of Shanghai: a cross-sectional study based on Montreal cognitive assessment[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(9): 1023-1029. doi: 10.16462/j.cnki.zhjbkz.2024.09.006

Cognitive health and distribution of mild cognitive impairment of women aged 45-65 in communities of Shanghai: a cross-sectional study based on Montreal cognitive assessment

doi: 10.16462/j.cnki.zhjbkz.2024.09.006
HUANG Yu and CHEN Hong contributed equally to this article
Funds:

Three-year Action Plan of Shanghai Public Health System Construction (2020-2022) Optimization of MCH Whole Life Cycle Health Management Service Model GWV-9.4

More Information
  • Corresponding author: XU Biao, E-mail: bxu@shmu.edu.cn
  • Received Date: 2024-01-04
  • Rev Recd Date: 2024-05-15
  • Available Online: 2024-10-24
  • Publish Date: 2024-09-10
  •   Objective  To investigate the cognitive level of women aged 45-65 in the community in Shanghai, and to describe the distribution of mild cognitive impairment (MCI) and its influencing factors.  Methods  The study subjects were women aged 45-65 in communities of 8 districts in Shanghai who volunteered to participate in the "bone health cohort". General information questionnaire was used to collect demographic information, lifestyle, menopausal status, reproductive history and chronic disease. Montreal cognitive assessment (MoCA) was used to measure cognitive function and screen for patients with MCI. Multivariate Logistic regression was used to analyze the influencing factors of MCI.  Results  A total of 2 205 women aged 45-65 in communities completed the questionnaire interview and MoCA-B assessment. The average score of MoCA-B was (26.47±3.14), points and the prevalence of mild cognitive impairment (MCI) was 10.25%. The results of the multivariate Logistic regression showed that the incidence of MCI was positively correlated with age (OR=2.393, 95% CI: 1.345-4.256). Compared to those with the education level of primary school or below, women completed junior high school (OR=0.375, 95% CI: 0.240-0.585), senior high school or technical school (OR=0.185, 95%CI: 0.115-0.298) and college or above (OR=0.067, 95% CI: 0.033-0.135) had a reduced risk ofMCI. The risk ofMCI in participating women living in urban areas (OR=0.563, 95% CI: 0.405-0.785) was significantly lower than those living in rural areas, and women having a balanced diet (OR=0.678, 95% CI: 0.466-0.986) also had a significantly lower risk of MCI than those having a vegetarian diet.  Conclusions  The prevalence of MCI among women aged 45-65 in communities of Shanghai was 10.25%. Age, education, living area and dietary habit were associated with MCI prevalence. Cognitive function assessment on women at peri-menopausal and early menopausal stage in community could provide basic evidences for developing early intervention strategies to prevent MCI and its progression.
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