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    The Brain Aging National Cohort-PUMC: study design and baseline characteristics



    Abstract

    Objectives: To describe the study design and baseline characteristics of the Brain Aging National Cohort (BANC)-Peking Union Medical College (PUMC), a study aiming to identify risk and protective factors that contribute to brain aging and age-related neurological diseases.

    Methods: The BANC-PUMC is a longitudinal study established in 2017 in the city of Beijing, enrolling participants who agreed to donate their bodies and brains for medical research. Participants received face-to-face clinical evaluations including questionnaires, physical examinations, and comprehensive cognitive assessments. Biological samples and brain magnetic resonance images were collected. Neuropathological evaluation of the autopsied brain is performed.

    Results: Among the 885 participants, 43.3% were men, and the mean age of the cohort was 71.3 ± 8.2 years. The participants were predominantly equipped with high-level education, and they had an average of 12 years (SD 3.6) of education. The most common chronic disease of participants was hypertension (61.4%). The proportion of Mini-Mental State Examination scores below 24 was 4.3%. The cohort has been followed up annually.

    Conclusions: The BANC-PUMC study has the potential to unravel the causes and consequences of age-related neurological diseases via a clinicopathological correlation study. The program will continue and allow further follow-up and extension of current investigations.

    Keywords: Aging Cohort study Willed donation Study design Clinicopathological correlation
    Section

    References

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    How to Cite

    Han, Fei, et al. “The Brain Aging National Cohort-PUMC: Study Design and Baseline Characteristics”. Human Brain, vol. 2, no. 2, Mar. 2023, doi:10.37819/hb.2.333.
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    Wen-Ying Qiu
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    DOI: https://doi.org/10.37819/hb.2.333

    Published: 2023-03-25

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    Copyright (c) 2023 Fei Han, Wen-Ying Qiu, Li-Xin Zhou, Jun Ni, Ming Yao, Yong-Tai Liu, Bo Hou, Rui-Xue Cui, Feng Feng, Fang Li, Ma Chao, Yi-Cheng Zhu

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