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Meta-Analysis
. 2024 Jun;20(6):3972-3986.
doi: 10.1002/alz.13846. Epub 2024 Apr 27.

Lifestyle and incident dementia: A COSMIC individual participant data meta‐analysis

[Article in Italian]
Stephanie Van Asbroeck  1 Sebastian Köhler  1 Martin P J van Boxtel  1 Darren M Lipnicki  2 John D Crawford  2 Erico Castro-Costa  3 Maria Fernanda Lima-Costa  3 Sergio Luis Blay  4 Xiao Shifu  5 Tao Wang  5   6   7 Ling Yue  5 Richard B Lipton  8   9   10 Mindy J Katz  8 Carol A Derby  8   9 Maëlenn Guerchet  11 Pierre-Marie Preux  11 Pascal Mbelesso  12 Joanna Norton  13 Karen Ritchie  13   14 Ingmar Skoog  15   16   17 Jenna Najar  15   16   17   18 Therese Rydberg Sterner  15   16   19 Nikolaos Scarmeas  20   21 Mary Yannakoulia  22 Themis Dardiotis  23 Elena Rolandi  24   25 Annalisa Davin  24 Michele Rossi  24 Oye Gureje  26 Akin Ojagbemi  27 Toyin Bello  27 Ki Woong Kim  28   29   30 Ji Won Han  28   29 Dae Jong Oh  31 Stella Trompet  32 Jacobijn Gussekloo  32   33 Steffi G Riedel-Heller  34 Susanne Röhr  34   35   36 Alexander Pabst  34 Suzana Shahar  37 Nurul Fatin Malek Rivan  37 Devinder Kaur Ajit Singh  37 Erin Jacobsen  38 Mary Ganguli  38   39 Tiffany Hughes  40 Mary Haan  41 Allison E Aiello  42 Ding Ding  43 Qianhua Zhao  43 Zhenxu Xiao  43 Kenji Narazaki  44 Tao Chen  45 Sanmei Chen  46 Tze Pin Ng  47 Xinyi Gwee  47 Qi Gao  47 Henry Brodaty  2 Julian Trollor  2   48 Nicole Kochan  2 Antonio Lobo  49   50   51 Javier Santabárbara  50   51   52 Patricia Gracia-Garcia  49   50   51 Perminder S Sachdev  2   53 Kay Deckers  1 for Cohort Studies of Memory in an International Consortium (COSMIC)
Affiliations
Meta-Analysis

Lifestyle and incident dementia: A COSMIC individual participant data meta‐analysis

[Article in Italian]
Stephanie Van Asbroeck et al. Alzheimers Dement. 2024 Jun.

Abstract

Introduction: The LIfestyle for BRAin Health (LIBRA) index yields a dementia risk score based on modifiable lifestyle factors and is validated in Western samples. We investigated whether the association between LIBRA scores and incident dementia is moderated by geographical location or sociodemographic characteristics.

Methods: We combined data from 21 prospective cohorts across six continents (N = 31,680) and conducted cohort-specific Cox proportional hazard regression analyses in a two-step individual participant data meta-analysis.

Results: A one-standard-deviation increase in LIBRA score was associated with a 21% higher risk for dementia. The association was stronger for Asian cohorts compared to European cohorts, and for individuals aged ≤75 years (vs older), though only within the first 5 years of follow-up. No interactions with sex, education, or socioeconomic position were observed.

Discussion: Modifiable risk and protective factors appear relevant for dementia risk reduction across diverse geographical and sociodemographic groups.

Highlights: A two-step individual participant data meta-analysis was conducted. This was done at a global scale using data from 21 ethno-regionally diverse cohorts. The association between a modifiable dementia risk score and dementia was examined. The association was modified by geographical region and age at baseline. Yet, modifiable dementia risk and protective factors appear relevant in all investigated groups and regions.

Keywords: age; dementia; dementia risk reduction; education; effect modification; ethnicity; individual participant data meta‐analysis; interaction; lifestyle; primary prevention; region; risk factor; risk personalization; sex; socioeconomic.

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Conflict of interest statement

AL has received financial support to attend scientific meetings from Janssen. PG has received financial support to attend scientific meetings from Lundbeck, Esteve, Nutrición Médica, Angelini, and Neuraxpharm. DD reports grants from Shanghai Municipal Science and Technology Major Project (2018SHZDZX01) and ZJ LAB, National Natural Science Foundation of China (82173599, 81773513), Scientific Research Plan Project of Shanghai Science and Technology Committee (17411950701, 17411950106), and National Project of Chronic Disease (2016YFC1306402); all payments were made to the institution. QZ reports grants from the National Chronic Disease Project (2016YFC1306402), Shanghai Science and Technology Municipality (17411950106, 2018SHZDZX03, 17411950701), National Natural Science Foundation of China (82071200, 81773513), Shanghai Hospital Development Center (SHDC2020CR4007), and MOE Frontiers Center for Brain Science (JIH2642001/028); all payments were made to the institution. NS declares personal fees from NIH, grants from Novo Nordisk (not related to current manuscript). All other authors do not have any conflicts of interest to declare. Author disclosures are available in the supporting information.

Figures

FIGURE 1
FIGURE 1
Flow chart of sample selection. LIBRA, LIfestyle for BRAin Health (index).
FIGURE 2
FIGURE 2
Mean LIBRA score by cohort and continent. Expansions of cohort name abbreviations are presented in Table 1. CI, confidence interval; LIBRA, LIfestyle for BRAin Health.
FIGURE 3
FIGURE 3
Hazard ratio for incident dementia per one‐point increase in LIBRA score. Model 2 (main model), controlled for age (time scale), sex, and years of formal education. Expansions of cohort name abbreviations are presented in Table 1. CI, confidence interval; HR, hazard ratio; LIBRA, LIfestyle for BRAin Health.
FIGURE 4
FIGURE 4
Hazard ratio for incident dementia per one‐point increase in LIBRA score per sociodemographic group. Model 2 (main model), controlled for age (time scale), sex, and years of formal education. CI, confidence interval; HR, hazard ratio; LIBRA, LIfestyle for BRAin Health; SEP, socioeconomic position.

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