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CN 34-1304/RISSN 1674-3679

Volume 27 Issue 10
Oct.  2023
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Article Contents
LIAN Pengfei, LIU Zhang, ZENG Yan, LIU Dan, CHENG Guirong, YANG Mengliu, YU Yafu, ZHANG Jingjing, ZHOU Fukai, XU Lang. Urban and rural disparities in the association between physical exercise, cognitive activity, and mild cognitive impairment in community-dwelling older adults[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(10): 1128-1132. doi: 10.16462/j.cnki.zhjbkz.2023.10.003
Citation: LIAN Pengfei, LIU Zhang, ZENG Yan, LIU Dan, CHENG Guirong, YANG Mengliu, YU Yafu, ZHANG Jingjing, ZHOU Fukai, XU Lang. Urban and rural disparities in the association between physical exercise, cognitive activity, and mild cognitive impairment in community-dwelling older adults[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(10): 1128-1132. doi: 10.16462/j.cnki.zhjbkz.2023.10.003

Urban and rural disparities in the association between physical exercise, cognitive activity, and mild cognitive impairment in community-dwelling older adults

doi: 10.16462/j.cnki.zhjbkz.2023.10.003
Funds:

National Key Research and Development Program of China 2020YFC2006000

National Natural Science Foundation of China 72174159

Health Commission of Hubei Province Scientific Research Project WJ2019H174

More Information
  • Corresponding author: XU Lang, E-mail: xulang@wust.edu.cn
  • Received Date: 2022-09-16
  • Rev Recd Date: 2023-01-30
  • Available Online: 2023-10-23
  • Publish Date: 2023-10-10
  •   Objective  The study aimed to investigate the correlation between physical exercise, cognitive activity, and mild cognitive impairment (MCI) in the community-dwelling older adults, with focus on the disparities between urban and rural areas.  Methods  Based on the Hubei Memory and Aging Cohort Study (HMACS), participants were divided into four groups according to the participation in exercise status: no exercise (NE), physical exercise only (PE), cognitive activity only (CA), and physical exercise and cognitive activity (PE+CA). Multivariate logistic regression model was used to analyze the correlation between the patterns of physical exercise and cognitive activity with MCI and its urban-rural disparities.  Results  A total of 8 365 participants were enrolled, with an average age of (71.67±5.52) years. The prevalence of MCI was 23.22% (95% CI: 22.31%-24.12%), and the MCI prevalence in rural areas was higher than that in urban areas (41.00%∶13.61%). The risk of MCI in the PE, CA, and PE+CA groups were significantly lower than that in the NE group (both P < 0.05). Further, based on the analysis of residence stratification, rural PE group (OR=0.646, 95% CI: 0.542-0.771) and urban CA group (OR=0.684, 95% CI: 0.487-0.961) significantly exhibited a lower risk of MCI (all P < 0.05).  Conclusions  The prevalence of MCI in rural areas is higher than that in urban areas. Physical exercise and cognitive activity will significantly reduce the risk of MCI; the correlation between single exercise patterns and MCI was different between urban and rural areas. Under the goal of healthy aging, we should take into account the cultural background of older adults and urban-rural differences when the intervention strategies for cognitive impairment diseases was formulated.
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