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Associations between Differential Aging and Lifestyle, Environment, Current, and Future Health Conditions: Findings from Canadian Longitudinal Study on Aging.
Song, Yipeng; Liu, Yang S; Talarico, Fernanda; Zhang, Yanbo; Hayward, Jake; Wang, Mengzhe; Stroulia, Eleni; Dixon, Roger A; Greiner, Russell; Li, Xinmin; Greenshaw, Andrew; Jie, Sui; Cao, Bo.
Afiliação
  • Song Y; University of Alberta, Department of Psychiatry, Edmonton, Alberta, Canada, yipeng.song@hotmail.com.
  • Liu YS; University of Alberta, Department of Psychiatry, Edmonton, Alberta, Canada.
  • Talarico F; University of Alberta, Department of Psychiatry, Edmonton, Alberta, Canada.
  • Zhang Y; University of Alberta, Department of Psychiatry, Edmonton, Alberta, Canada.
  • Hayward J; University of Alberta, Department of Emergency Medicine, Edmonton, Alberta, Canada.
  • Wang M; Ministry of Health (Alberta), Edmonton, Alberta, Canada.
  • Stroulia E; University of Alberta, Department of Computing Science, Edmonton, Alberta, Canada.
  • Dixon RA; University of Alberta, Department of Psychology, Edmonton, Alberta, Canada.
  • Greiner R; University of Alberta, Department of Psychiatry, Edmonton, Alberta, Canada.
  • Li X; University of Alberta, Department of Computing Science, Edmonton, Alberta, Canada.
  • Greenshaw A; University of Alberta, Department of Psychiatry, Edmonton, Alberta, Canada.
  • Jie S; University of Alberta, Department of Psychiatry, Edmonton, Alberta, Canada.
  • Cao B; University of Aberdeen, The School of Psychology, Aberdeen, UK.
Gerontology ; 69(12): 1394-1403, 2023.
Article em En | MEDLINE | ID: mdl-37725932
ABSTRACT

INTRODUCTION:

An aging population will bring a pressing challenge for the healthcare system. Insights into promoting healthy longevity can be gained by quantifying the biological aging process and understanding the roles of modifiable lifestyle and environmental factors, and chronic disease conditions.

METHODS:

We developed a biological age (BioAge) index by applying multiple state-of-art machine learning models based on easily accessible blood test data from the Canadian Longitudinal Study of Aging (CLSA). The BioAge gap, which is the difference between BioAge index and chronological age, was used to quantify the differential aging, i.e., the difference between biological and chronological age, of the CLSA participants. We further investigated the associations between the BioAge gap and lifestyle, environmental factors, and current and future health conditions.

RESULTS:

BioAge gap had strong associations with existing adverse health conditions (e.g., cancers, cardiovascular diseases, diabetes, and kidney diseases) and future disease onset (e.g., Parkinson's disease, diabetes, and kidney diseases). We identified that frequent consumption of processed meat, pork, beef, and chicken, poor outcomes in nutritional risk screening, cigarette smoking, exposure to passive smoking are associated with positive BioAge gap ("older" BioAge than expected). We also identified several modifiable factors, including eating fruits, legumes, vegetables, related to negative BioAge gap ("younger" BioAge than expected).

CONCLUSIONS:

Our study shows that a BioAge index based on easily accessible blood tests has the potential to quantify the differential biological aging process that can be associated with current and future adverse health events. The identified risk and protective factors for differential aging indicated by BioAge gap are informative for future research and guidelines to promote healthy longevity.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus / Nefropatias Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Animals / Humans País/Região como assunto: America do norte Idioma: En Revista: Gerontology Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus / Nefropatias Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Animals / Humans País/Região como assunto: America do norte Idioma: En Revista: Gerontology Ano de publicação: 2023 Tipo de documento: Article