Associations between differential aging and lifestyle, environment, current, and future health conditions : Findings from Canadian Longitudinal Study on Aging

• Published in: Gerontology
• Main Authors: Song, Yipeng, Liu, Yang S, Talarico, Fernanda, Zhang, Yanbo, Hayward, Jake, Wang, Mengzhe, Stroulia, Eleni, Dixon, Roger A, Greiner, Russell, Li, Xinmin, Greenshaw, Andrew, Sui, Jie, Cao, Bo
• Other Authors: University of Aberdeen.Psychology
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2023
• Subjects: SDG 3 - Good Health and Well-being; Aging; CLSA; Biological age; Healthy longevity; Machine learning; BF Psychology; RA0421 Public health. Hygiene. Preventive Medicine; Supplementary Data; BF; RA0421; Newfoundland
• Online Access: https://hdl.handle.net/2164/21833; https://doi.org/10.1159/000534015

Acknowledgement 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 (Comprehensive Cohort), under Application Number 1906013. The CLSA is led by Drs. Parminder Raina, Christina Wolfson and Susan Kirkland. Funding Sources This research was undertaken, in part, thanks to funding from the Canada Research Chairs Program, Alberta Innovates, Mental Health Foundation, MITACS Accelerate program, Simon & Martina Sochatsky Fund for Mental Health, the Alberta Synergies in Alzheimer’s and Related Disorders (SynAD) program, and University of Alberta Hospital Foundation. Peer reviewed