A correction has been made to the section Measures, sub-section Depressive symptoms. An incorrect range of scores was included in the original publication. The erroneous text was:
“The item responses were “Always,” “Often,” “Sometimes,” “Seldom,” and “Never,” and the scores ranged from 1–5, with a higher score indicating greater negativity. Therefore, this study calculated that the scores ranged from 0 to 25, with higher scores indicating more severe depressive symptoms.”
The erroneous text has been corrected. The corrected sentence appears below:
“The item responses were “Always,” “Often,” “Sometimes,” “Seldom,” and “Never,” and the scores ranged from 1–5, with a higher score indicating greater negativity. Therefore, this study calculated that the scores ranged from 5 to 25, with higher scores indicating more severe depressive symptoms.”
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Summary
Keywords
longitudinal study, cognitive function, depressive symptoms, latent growth curve model, old adults
Citation
Gao Z, Liu C, Yang L, Mei X, Wei X, Kuang J, Zhou K and Xu M (2022) Corrigendum: Longitudinal Association Between Depressive Symptoms and Cognitive Function Among Older Adults: A Parallel Latent Growth Curve Modeling Approach. Int J Public Health 67:1605525. doi: 10.3389/ijph.2022.1605525
Received
24 October 2022
Accepted
18 November 2022
Published
01 December 2022
Volume
67 - 2022
Updates
Copyright
© 2022 Gao, Liu, Yang, Mei, Wei, Kuang, Zhou and Xu.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Li Yang, yang-li81@163.com
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