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Prevalence of and Potential Risk Factors for Mild Cognitive Impairment in Community-Dwelling Residents of Beijing

Authors

  • Xin Li BD,

    1. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
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    • These authors contributed equally to the manuscript.
  • Chao Ma BD,

    1. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
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    • These authors contributed equally to the manuscript.
  • Junying Zhang MD,

    1. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
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    • These authors contributed equally to the manuscript.
  • Ying Liang BD,

    1. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
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  • Yaojing Chen BD,

    1. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
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  • Kewei Chen PhD,

    1. Department of Psychiatry, Banner Alzheimer's Institute, Phoenix, Arizona
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  • Jun Wang PhD,

    1. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
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  • Zhanjun Zhang MD,

    Corresponding author
    1. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
    • Address correspondence to Zhang Zhanjun, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, No.19 Xinjiekouwai Street, Beijing 100875, China. E-mail: zhang_rzs@bnu.edu.cn

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  • Yongyan Wang BD,

    1. Institute of Basic Research in Clinical Medicine, China Academy of Traditional Chinese Medicine, Beijing, China
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  • and on behalf of The Beijing Ageing Brain Rejuvenation Initiative


Abstract

Objectives

To estimate the prevalence of mild cognitive impairment (MCI) in Beijing, China, and to explore the potential protective and risk factors for MCI.

Design

Population-based survey.

Setting

The Beijing Ageing Brain Rejuvenation Initiative (BABRI).

Participants

Participants randomly recruited from BABRI (N = 1,211).

Measurements

Participants underwent a battery of neuropsychological examinations to determine cognitive function and answered a series of personal questions. The prevalence of MCI and its subtypes were computed using Petersen's criteria. Influencing factors for MCI were estimated based on participant medical history, lifestyle, diet, and leisure activities.

Results

One thousand twenty (aged >55, mean 63.9 ± 6.6; 36.7% male) subjects completed the neuropsychological tests. The overall prevalence of MCI was 15.7%, with single-domain amnestic, multiple-domain amnestic, and nonamnestic subtype prevalences of 6.4%, 3.7%, and 5.6%, respectively. Eight hundred sixty-four subjects were used for the case–control analysis. Hypertension, diabetes mellitus, and cerebrovascular disease were found to be associated with MCI. Healthy diet and greater involvement in physical, intellectual, and social activities were associated with a lower risk of MCI.

Conclusion

The prevalence of MCI was compatible with that found in previous published reports, and the information on the epidemiology of MCI, especially risk factors, may help to explore therapeutic strategies and preventive approaches to delay conversion to dementia.

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