The incidence of all‐cause dementia and Alzheimer’s disease from around the world: data from the COSMIC collaboration

Abstract Background High‐income countries (HICs) are over‐represented in current global dementia incidence rates, skewing estimates. Variance in diagnostic methods between HICs and low‐ and middle‐income countries (LMICs) is speculated to contribute to the regional differences in rates. Cohort Studies of Memory in an International Consortium (COSMIC) offers a unique opportunity to address these research inequalities by harmonising data from international studies, including representation from LMICs. This study aimed to identify dementia incidence rates by age and sex in various regions worldwide, where data for dementia diagnosis were available. Method Data were obtained from 36 members of COSMIC, representing 28 countries across 6 continents (HICs: Australia, Canada, Faroe Islands, France, Germany, Greece, Italy, Japan, Netherlands, South Korea, Spain, Sweden, & USA; LMICs: Brazil, China, Cuba, Dominican Republic, Ecuador, Indonesia, Malaysia, Mexico, Nigeria, Peru, Philippines, Republic of Congo, & Tanzania). For each member study, we calculated incidence rates for all‐cause dementia. Findings from 14 studies, with a consensus diagnosis are presented in the results. Using an Item Response Theory approach, we are currently calculating a comparable incidence rate for those studies without a consensus diagnosis. Result Consistent with previous trends, incidence rates (per 100 person‐years) increased with age, from 65‐70 years‐old to 85‐90 years‐old, for both males (i.e., Republic of Congo, 4.41 to 19.57; France, 0.46 to 3.89; USA, 0.17 to 3.22; Spain, 0.31 to 4.22; 65‐70 & 85‐90 cohorts respectively) and females (i.e., Republic of Congo, 3.57 to 15.31; France, 0.45 to 3.72; USA, 0.22 to 4.25; Spain, 0.36 to 4.96; 65‐70 & 85‐90 cohorts respectively). There were no sex differences in incidence rates in younger age groups (60‐65). Among older age groups, however, women tended to have higher incidence rates than men, in some countries (Faroe Islands, Germany, Sweden, and USA). Conclusion Geographical differences in dementia incidence rates likely represent inherent variation among countries, beyond methodological considerations. We are working to expand the range of studies and regions for which we calculate dementia incidence rates. This involves the development of approaches to classify and harmonise incident dementia in studies lacking consensus diagnoses. Doing so will bolster LMIC representation.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.087341
Citations
2
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
0.63
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The incidence of all‐cause dementia and Alzheimer’s disease from around the world: data from the COSMIC collaboration

Richard B. Lipton, Louise R. Mewton, Ashleigh S. Vella, Maëlenn Guerchet et al.
2 citations
Alzheimer s & Dementia
Health, Environment, Cognitive Aging
0.63
article

The incidence of all‐cause dementia and Alzheimer’s disease from around the world: data from the COSMIC collaboration

Richard B. Lipton, Louise R. Mewton, Ashleigh S. Vella, Maëlenn Guerchet, Jaimie D Steinmetz, Juan J. Llibre Rodríguez, John D. Crawford, Rachel Visontay, Perminder Singh Sachdev, Ki Woong Kim, Pierre‐Marie Preux, Ingmar Gr. Skoog, Elena Rolandi, Maria Skaalum Petersen, Steffi Gerlinde Riedel-Heller, Isabelle Carrière, Kaarin Jane Anstey, Karen A. Ritchie, Nikolaos Scarmeas, Darren M. Lipnicki, Emma L. Nichols, Suzana Shahar, Antonio Lobo, Mary Ganguli, Mindy Joy Katz
article en
2 citations

Abstract

Abstract Background High‐income countries (HICs) are over‐represented in current global dementia incidence rates, skewing estimates. Variance in diagnostic methods between HICs and low‐ and middle‐income countries (LMICs) is speculated to contribute to the regional differences in rates. Cohort Studies of Memory in an International Consortium (COSMIC) offers a unique opportunity to address these research inequalities by harmonising data from international studies, including representation from LMICs. This study aimed to identify dementia incidence rates by age and sex in various regions worldwide, where data for dementia diagnosis were available. Method Data were obtained from 36 members of COSMIC, representing 28 countries across 6 continents (HICs: Australia, Canada, Faroe Islands, France, Germany, Greece, Italy, Japan, Netherlands, South Korea, Spain, Sweden, & USA; LMICs: Brazil, China, Cuba, Dominican Republic, Ecuador, Indonesia, Malaysia, Mexico, Nigeria, Peru, Philippines, Republic of Congo, & Tanzania). For each member study, we calculated incidence rates for all‐cause dementia. Findings from 14 studies, with a consensus diagnosis are presented in the results. Using an Item Response Theory approach, we are currently calculating a comparable incidence rate for those studies without a consensus diagnosis. Result Consistent with previous trends, incidence rates (per 100 person‐years) increased with age, from 65‐70 years‐old to 85‐90 years‐old, for both males (i.e., Republic of Congo, 4.41 to 19.57; France, 0.46 to 3.89; USA, 0.17 to 3.22; Spain, 0.31 to 4.22; 65‐70 & 85‐90 cohorts respectively) and females (i.e., Republic of Congo, 3.57 to 15.31; France, 0.45 to 3.72; USA, 0.22 to 4.25; Spain, 0.36 to 4.96; 65‐70 & 85‐90 cohorts respectively). There were no sex differences in incidence rates in younger age groups (60‐65). Among older age groups, however, women tended to have higher incidence rates than men, in some countries (Faroe Islands, Germany, Sweden, and USA). Conclusion Geographical differences in dementia incidence rates likely represent inherent variation among countries, beyond methodological considerations. We are working to expand the range of studies and regions for which we calculate dementia incidence rates. This involves the development of approaches to classify and harmonise incident dementia in studies lacking consensus diagnoses. Doing so will bolster LMIC representation.

Alzheimer s & DementiaVol. 20(S7)
University of the Faroe Islands (FO), University of Southern California (US), The University of Sydney (AU), Albert Einstein College of Medicine (US), Seoul National University (KR), Inserm (FR), University of Pittsburgh (US), Université de Montpellier (FR), National and Kapodistrian University of Athens (GR), University of Washington (US), University of Pavia (IT), Universidad de Zaragoza (ES), University of Havana (CU), Sahlgrenska University Hospital (SE), Seoul National University Bundang Hospital (KR), Institute for Health Metrics and Evaluation (US), UNSW Sydney (AU), Centro de Investigación Biomédica en Red de Salud Mental (ES), Prince of Wales Hospital (AU), Fondazione Golgi Cenci (IT), ARC Centre of Excellence in Synthetic Biology (AU), Institute for Neurosciences of Montpellier (FR), Instituto de Investigación Sanitaria Aragón (ES), Institut d’Epidémiologie Neurologique et de Neurologie Tropicale (FR), Institut du Cerveau (FR), Institut de Recherche pour le Développement (FR), Columbia University (US), Neuroscience Research Australia (AU), University of Gothenburg (SE), National University of Malaysia (MY), Leipzig University (DE)
Openalex Percentile: Top 28%
Health, Environment, Cognitive Aging
0.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.