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Associations of lifestyle factors with amyloid pathology in persons without dementia

Julie E. Oomens*, Stephanie J.B. Vos, Nancy N. Maserejian, Mercè Boada, Mira Didic, Sebastiaan Engelborghs, Tormod Fladby, Wiesje M. van der Flier, Giovanni B. Frisoni, Lutz Fröhlich, Kiran Dip Gill, Timo Grimmer, Jakub Hort, Yoshiaki Itoh, Takeshi Iwatsubo, Aleksandra Klimkowicz-Mrowiec, Susan M. Landau, Dong Young Lee, Alberto Lleó, Pablo Martinez-LageAlexandre de Mendonça, Philipp T. Meyer, Piero Parchi, Matteo Pardini, Lucilla Parnetti, Julius Popp, Lorena Rami, Eric M. Reiman, Juha O. Rinne, Karen M. Rodrigue, Pascual Sánchez-Juan, Isabel Santana, Nikolaos Scarmeas, Philip Scheltens, Ingmar Skoog, Reisa A. Sperling, Yaakov Stern, Sylvia Villeneuve, Gunhild Waldemar, Jens Wiltfang, Henrik Zetterberg, Daniel Alcolea, Ricardo F. Allegri, Daniele Altomare, Randall J. Bateman, Simone Baiardi, Ines Baldeiras, Kaj Blennow, Anouk den Braber, Mark A. van Buchem, Presymptomatic Evaluation of Experimental or Novel Treatments for Alzheimer's Disease (PREVENT-AD) research group, for the Alzheimer's Disease Neuroimaging Initiative (ADNI), A4 Study group, Dominantly Inherited Alzheimer Network (DIAN), European Prevention of Alzheimer's Dementia (EPAD) consortium, Fundació ACE Healthy Brain Initiative (FACEHBI), Japan Alzheimer's Disease Neuroimaging Initiative (J-ADNI), Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's Disease (KBASE)

*Corresponding author for this work

Abstract

Background: The association between lifestyle factors and Alzheimer's disease (AD) pathophysiology remains incompletely understood. Objective: The aim of this study was to assess the association of alcohol consumption, smoking behavior, sleep quality and physical, cognitive, and social activity with cerebral amyloid pathology. Methods: For this cross-sectional study, we selected participants from the Amyloid Biomarker Study data pooling initiative. We used generalized estimating equations to assess associations of dichotomized lifestyle measures with amyloid pathology. Results: We included 9171 participants with normal cognition (NC) and 2555 participants with mild cognitive impairment (MCI) from the Amyloid Biomarker Study. Of participants with NC, 58% were women, 34% were APOE ε4 carrier, and 27% had amyloid pathology. Of participants with MCI, 48% were women, 47% were APOE ε4 carrier, and 57% had amyloid pathology. In NC, cognitively active participants were less likely to have amyloid pathology (OR = 0.77, 95%CI 0.66–0.89, p < 0.001). In MCI, participants who had ever smoked or had sleep problems were less likely to have amyloid pathology (OR = 0.85, 95%CI 0.73–0.99, p = 0.029; OR = 0.62, 95%CI 0.45–0.86, p = 0.004). Conclusions: In NC, cognitive activity was associated with a lower frequency of amyloid pathology. In MCI, favorable lifestyle behaviors were not associated with a lower frequency of amyloid pathology. The results of the current study contribute to the broader evidence base on lifestyle and AD by further characterizing the role of lifestyle behaviors in AD pathology across different clinical stages.

Original languageEnglish
JournalJournal of Alzheimer's Disease
Volume108
Issue number3
Pages (from-to)1043-1059
Number of pages17
ISSN1387-2877
DOIs
Publication statusPublished - Dec 2025

Keywords

  • Alzheimer's disease
  • amyloid
  • amyloid biomarker study
  • cerebrospinal fluid
  • lifestyle
  • positron emission tomography

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