Anglia Ruskin Research Online (ARRO)
Browse
Vancampfort_et_al_2018.docx (144.16 kB)

Mild cognitive impairment and sedentary behavior: a multinational study

Download (144.16 kB)
journal contribution
posted on 2023-08-30, 15:15 authored by Davy Vancampfort, Brendon Stubbs, Elvira Lara, Mathieu Vandenbulcke, Nathalie Swinnen, Lee Smith, Joseph Firth, Matthew Herring, Mats Hallgren, Ai Koyanagi
Background: Sedentary behavior (SB) is associated with poor cognitive performance. However, the contribution of sedentary time to risk of mild cognitive impairment (MCI) remains unclear. This study assessed the association of SB with MCI in six low- and middle-income countries. Methods: The Study on Global Ageing and Adult Health (SAGE) survey included 34,129 adults aged ≥50 years [mean (SD) age 62.1 (15.6) years; 51.7% females]. SB was self-reported and expressed as a categorical variable [<8 or ≥8 hours per day (high SB)]. The definition of MCI was based on the recommendations of the National Institute on Ageing-Alzheimer’s Association. Multivariable logistic regression analysis was conducted to assess the association between SB and MCI. Results: The overall prevalence (95%CI) of MCI and high SB (i.e., ≥8h/day) were 15.3% (14.4%-16.3%) and 10.1% (9.0%-11.3%), respectively. After adjustment for potential confounders, being sedentary for ≥8h/day was associated with a 1.56 (95%CI=1.27-1.91) times higher odds for MCI. A one-hour increase in SB was associated with a 1.08 (95%CI=1.05-1.11) times higher odds for MCI. Conclusion: Our study results highlight the need to further explore a sedentary lifestyle as a potential risk factor for MCI or subsequent dementia. Longitudinal and intervention studies are warranted to confirm/refute the current findings.

History

Refereed

  • Yes

Volume

108

Page range

174-180

Publication title

Experimental Gerontology

ISSN

1873-6815

Publisher

Elsevier

File version

  • Accepted version

Language

  • eng

Legacy posted date

2018-04-20

Legacy creation date

2018-04-19

Legacy Faculty/School/Department

ARCHIVED Faculty of Science & Technology (until September 2018)

Usage metrics

    ARU Outputs

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC