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. 2023 Mar 14;9:e44274. doi: 10.2196/44274

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©Haibin Li, Jiajia Zhang, Xinye Zou, Xiuqin Jia, Deqiang Zheng, Xiuhua Guo, Wuxiang Xie, Qi Yang. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 14.03.2023.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included.

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Cross-lagged panel models applied to assess gait speed and cognition among Chinese older adults. (A) The general modeling strategy used for the cross-lagged panel models. (B) The cross-lagged panel model where gait speed was associated with global cognition. (C) The cross-lagged panel model where gait speed was associated with mental intactness. (D) The cross-lagged panel model where gait speed was associated with episodic memory. Numeric values are standardized structural regression coefficients. AR: autoregressive; CL: cross-lagged; CS: cross sectional.