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. 2020 Oct 29;8(10):e20847. doi: 10.2196/20847

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©Yu Zeng, Yan Guo, Linghua Li, Y Alicia Hong, Yiran Li, Mengting Zhu, Chengbo Zeng, Hanxi Zhang, Weiping Cai, Cong Liu, Shaomin Wu, Peilian Chi, Aliza Monroe-Wise, Yuantao Hao, Rainbow Tin Hung Ho. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 29.10.2020.

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 mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.

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Unconditional latent growth curve model for depressive symptoms (n=150). Model fit statistic: χ²=7.0, P=.07, degrees of freedom=3; CFI=0.975, TLI=0.949, SRMR=0.039, RMSEA=0.094. Observed variables were indicated by boxes and latent variables were indicated by ovals. Unidirectional arrows indicated the effect of one variable on another and bidirectional arrows indicated correlations. The nonsignificant path was indicated by dotted line. 0: baseline; 1: 1 month after baseline; 2: 2 months after baseline; 3: 3 months after baseline; *P<.05, **P<.001.