Determinants of cognitive performance and decline in 20 diverse ethno-regional groups: A COSMIC collaboration cohort study

dc.citation.issue7
dc.citation.volume16
dc.contributor.authorLipnicki DM
dc.contributor.authorMakkar SR
dc.contributor.authorCrawford JD
dc.contributor.authorThalamuthu A
dc.contributor.authorKochan NA
dc.contributor.authorLima-Costa MF
dc.contributor.authorCastro-Costa E
dc.contributor.authorFerri CP
dc.contributor.authorBrayne C
dc.contributor.authorStephan B
dc.contributor.authorLlibre-Rodriguez JJ
dc.contributor.authorLlibre-Guerra JJ
dc.contributor.authorValhuerdi-Cepero AJ
dc.contributor.authorLipton RB
dc.contributor.authorKatz MJ
dc.contributor.authorDerby CA
dc.contributor.authorRitchie K
dc.contributor.authorAncelin M-L
dc.contributor.authorCarrière I
dc.contributor.authorScarmeas N
dc.contributor.authorYannakoulia M
dc.contributor.authorHadjigeorgiou GM
dc.contributor.authorLam L
dc.contributor.authorChan W-C
dc.contributor.authorFung A
dc.contributor.authorGuaita A
dc.contributor.authorVaccaro R
dc.contributor.authorDavin A
dc.contributor.authorKim KW
dc.contributor.authorHan JW
dc.contributor.authorSuh SW
dc.contributor.authorRiedel-Heller SG
dc.contributor.authorRoehr S
dc.contributor.authorPabst A
dc.contributor.authorvan Boxtel M
dc.contributor.authorKöhler S
dc.contributor.authorDeckers K
dc.contributor.authorGanguli M
dc.contributor.authorJacobsen EP
dc.contributor.authorHughes TF
dc.contributor.authorAnstey KJ
dc.contributor.authorCherbuin N
dc.contributor.authorHaan MN
dc.contributor.authorAiello AE
dc.contributor.authorDang K
dc.contributor.authorKumagai S
dc.contributor.authorChen T
dc.contributor.authorNarazaki K
dc.contributor.authorNg TP
dc.contributor.authorGao Q
dc.contributor.authorNyunt MSZ
dc.contributor.authorScazufca M
dc.contributor.authorBrodaty H
dc.contributor.authorNumbers K
dc.contributor.authorTrollor JN
dc.contributor.authorMeguro K
dc.contributor.authorYamaguchi S
dc.contributor.authorIshii H
dc.contributor.authorLobo A
dc.contributor.authorLopez-Anton R
dc.contributor.authorSantabárbara J
dc.contributor.authorLeung Y
dc.contributor.authorLo JW
dc.contributor.authorPopovic G
dc.contributor.authorSachdev PS
dc.contributor.authorfor Cohort Studies of Memory in an International Consortium (COSMIC)
dc.coverage.spatialUnited States
dc.date.accessioned2024-01-29T00:31:05Z
dc.date.accessioned2024-07-25T06:48:06Z
dc.date.available2019-07-23
dc.date.available2024-01-29T00:31:05Z
dc.date.available2024-07-25T06:48:06Z
dc.date.issued2019-07
dc.description.abstractBackground With no effective treatments for cognitive decline or dementia, improving the evidence base for modifiable risk factors is a research priority. This study investigated associations between risk factors and late-life cognitive decline on a global scale, including comparisons between ethno-regional groups. Methods and findings We harmonized longitudinal data from 20 population-based cohorts from 15 countries over 5 continents, including 48,522 individuals (58.4% women) aged 54–105 (mean = 72.7) years and without dementia at baseline. Studies had 2–15 years of follow-up. The risk factors investigated were age, sex, education, alcohol consumption, anxiety, apolipoprotein E ε4 allele (APOE*4) status, atrial fibrillation, blood pressure and pulse pressure, body mass index, cardiovascular disease, depression, diabetes, self-rated health, high cholesterol, hypertension, peripheral vascular disease, physical activity, smoking, and history of stroke. Associations with risk factors were determined for a global cognitive composite outcome (memory, language, processing speed, and executive functioning tests) and Mini-Mental State Examination score. Individual participant data meta-analyses of multivariable linear mixed model results pooled across cohorts revealed that for at least 1 cognitive outcome, age (B = −0.1, SE = 0.01), APOE*4 carriage (B = −0.31, SE = 0.11), depression (B = −0.11, SE = 0.06), diabetes (B = −0.23, SE = 0.10), current smoking (B = −0.20, SE = 0.08), and history of stroke (B = −0.22, SE = 0.09) were independently associated with poorer cognitive performance (p < 0.05 for all), and higher levels of education (B = 0.12, SE = 0.02) and vigorous physical activity (B = 0.17, SE = 0.06) were associated with better performance (p < 0.01 for both). Age (B = −0.07, SE = 0.01), APOE*4 carriage (B = −0.41, SE = 0.18), and diabetes (B = −0.18, SE = 0.10) were independently associated with faster cognitive decline (p < 0.05 for all). Different effects between Asian people and white people included stronger associations for Asian people between ever smoking and poorer cognition (group by risk factor interaction: B = −0.24, SE = 0.12), and between diabetes and cognitive decline (B = −0.66, SE = 0.27; p < 0.05 for both). Limitations of our study include a loss or distortion of risk factor data with harmonization, and not investigating factors at midlife. Conclusions These results suggest that education, smoking, physical activity, diabetes, and stroke are all modifiable factors associated with cognitive decline. If these factors are determined to be causal, controlling them could minimize worldwide levels of cognitive decline. However, any global prevention strategy may need to consider ethno-regional differences.
dc.format.paginatione1002853-
dc.identifier.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/31335910
dc.identifier.citationLipnicki DM, Makkar SR, Crawford JD, Thalamuthu A, Kochan NA, Lima-Costa MF, Castro-Costa E, Ferri CP, Brayne C, Stephan B, Llibre-Rodriguez JJ, Llibre-Guerra JJ, Valhuerdi-Cepero AJ, Lipton RB, Katz MJ, Derby CA, Ritchie K, Ancelin M-L, Carrière I, Scarmeas N, Yannakoulia M, Hadjigeorgiou GM, Lam L, Chan W-C, Fung A, Guaita A, Vaccaro R, Davin A, Kim KW, Han JW, Suh SW, Riedel-Heller SG, Roehr S, Pabst A, van Boxtel M, Köhler S, Deckers K, Ganguli M, Jacobsen EP, Hughes TF, Anstey KJ, Cherbuin N, Haan MN, Aiello AE, Dang K, Kumagai S, Chen T, Narazaki K, Ng TP, Gao Q, Nyunt MSZ, Scazufca M, Brodaty H, Numbers K, Trollor JN, Meguro K, Yamaguchi S, Ishii H, Lobo A, Lopez-Anton R, Santabárbara J, Leung Y, Lo JW, Popovic G, Sachdev PS, for Cohort Studies of Memory in an International Consortium (COSMIC) . (2019). Determinants of cognitive performance and decline in 20 diverse ethno-regional groups: A COSMIC collaboration cohort study.. PLoS Med. 16. 7. (pp. e1002853-).
dc.identifier.doi10.1371/journal.pmed.1002853
dc.identifier.eissn1549-1676
dc.identifier.elements-typejournal-article
dc.identifier.issn1549-1277
dc.identifier.piiPMEDICINE-D-19-00731
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/70908
dc.languageeng
dc.publisherPublic Library of Science (PLoS)
dc.relation.isPartOfPLoS Med
dc.rights(c) The author/sen
dc.rights.licenseCC BY 4.0en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectAge Factors
dc.subjectAged
dc.subjectAged, 80 and over
dc.subjectCognition
dc.subjectCognitive Dysfunction
dc.subjectComorbidity
dc.subjectDiabetes Mellitus
dc.subjectEthnicity
dc.subjectExercise
dc.subjectFemale
dc.subjectHealth Education
dc.subjectHumans
dc.subjectMale
dc.subjectMiddle Aged
dc.subjectRisk Assessment
dc.subjectRisk Factors
dc.subjectSmoking
dc.subjectStroke
dc.titleDeterminants of cognitive performance and decline in 20 diverse ethno-regional groups: A COSMIC collaboration cohort study
dc.typeJournal article
pubs.elements-id455028
pubs.organisational-groupOther
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