This article is a correction to:
Prioritizing determinants of cognitive function in healthy middle-aged and older adults: insights from a machine learning regression approach in the Canadian longitudinal study on aging
Sarah Singh
Shiran Zhong
Kem Rogers3
Stephanie Frisbee- 1Robarts Research Institute, University of Western Ontario, London, ON, Canada
- 2Department of Geography, University of Western Ontario, London, ON, Canada
- 3Department of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
- 4Department of Clinical Neurological Sciences, and Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
- 5Department of Pathology and Laboratory Medicine, and Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
by Singh, S., Zhong, S., Rogers, K., Hachinski, V., and Frisbee, S. (2023). Front. Public Health 11:1290064. doi: 10.3389/fpubh.2023.1290064
In the published article, there was an error in the Data Availability statement. The incorrect statement was used (“The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author”). The data source for this study (CLSA) requires the inclusion of their acknowledgment statement in this section. The correct Data Availability statement appears below.
Data availability statement
“This research was made possible using the data/biospecimens collected by the Canadian Longitudinal Study on Aging (CLSA). Funding for the Canadian Longitudinal Study on Aging (CLSA) is provided by the Government of Canada through the Canadian Institutes of Health Research (CIHR) under grant reference: LSA 94473 and the Canada Foundation for Innovation, as well as the following provinces, Newfoundland, Nova Scotia, Quebec, Ontario, Manitoba, Alberta, and British Columbia. This research has been conducted using the CLSA dataset (Baseline Comprehensive version 7.0), under Application Number (2109031). The CLSA is led by Drs. Parminder Raina, Christina Wolfson, and Susan Kirkland. Data are available from the Canadian Longitudinal Study on Aging (www.clsa-elcv.ca) for researchers who meet the criteria for access to de-identified CLSA data.”
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.
Publisher's note
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Keywords: cognitive function, determinants of health, dementia prevention, machine learning, CLSA
Citation: Singh S, Zhong S, Rogers K, Hachinski V and Frisbee S (2024) Corrigendum: Prioritizing determinants of cognitive function in healthy middle-aged and older adults: insights from a machine learning regression approach in the Canadian longitudinal study on aging. Front. Public Health 12:1372914. doi: 10.3389/fpubh.2024.1372914
Received: 18 January 2024; Accepted: 26 January 2024;
Published: 12 February 2024.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2024 Singh, Zhong, Rogers, Hachinski and Frisbee. 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: Sarah Singh, ssing452@uwo.ca