]. This in turn could contribute to differences in the estimated prevalences of MCI jmir.6472 between studies (though the study with the lowest rate of dependence, ESPRIT, also had a lower prevalence of MCI than the study with the highest rate of dependence, WHICAP). Two studies had Chinese populations, but both were in high income countries, and while the American studies had some participants from black and Hispanic communities, these data are not presented separately. We have also restricted the analyses to prevalence figures and not examined determinants, which is worthy of future work.Supporting InformationS1 Fig. Overall crude prevalence estimates of both amnestic mild Pan-RAS-IN-1 custom synthesis cognitive impairment (aMCI) and non-amnestic mild cognitive impairment (naMCI) among men and women ofPLOS ONE | DOI:10.1371/journal.pone.0142388 November 5,13 /Mild Cognitive Impairment Internationallydifferent age groups. (DOCX) S1 Table. Prevalence estimates of subjective memory complaints or concerns. (DOCX) S2 Table. Prevalence estimates of functional independence. (DOCX) S3 Table. Prevalence estimates of objective cognitive impairment based on harmonized cognitive domain scores. (DOCX) S4 Table. Prevalence estimates of objective cognitive impairment based on Mini-Mental State Examination scores. (DOCX) S5 Table. Prevalence estimates of objective cognitive impairment based on Clinical Dementia Ratings. (DOCX) S6 Table. Recoding of original education data into COSMIC categories. (DOCX) S7 Table. Sources of Instrumental Activities of Daily Living items used. (DOCX) S8 Table. Coding of responses for harmonized Telephone, Food preparation, and Medications items. (DOCX) S9 Table. Coding of responses for harmonized Shopping, Finances, and Transport items. (DOCX) S10 Table. Tests or test components assigned to the memory domain. (DOCX) S11 Table. Tests or test components assigned to the attention/processing speed domain. (DOCX) S12 Table. Tests or test components assigned to the language domain. (DOCX) S13 Table. Tests or test components assigned to the executive function domain. (DOCX) S14 Table. Tests or test components assigned to the perceptual-motor domain. (DOCX) S15 Table. Memory complaint questions. (DOCX) S16 Table. Dementia criteria and Clinical Dementia Rating use. (DOCX) S17 Table. Sample sizes for the different approaches to classifying mild cognitive impairment. (DOCX)PLOS ONE | DOI:10.1371/journal.pone.0142388 November 5,14 /Mild Cognitive Impairment InternationallyS18 Table. Association between education and mild cognitive impairment. (DOCX) S1 Text. Supplementary Methods. (DOCX) S2 Text. Supplementary Results. (DOCX)AcknowledgmentsThe members of the contributing COSMIC studies are: CFAS: CB (study leader), FEM, BCMS; EAS: RBL, MJK (study leaders); ESPRIT: KR, MLA (study leaders), IC; HK-MAPS: LCWL (study leader), CHYW, AWTF; Invece.Ab: AG (study leader), RV, AD; MoVIES: MG (study leader), HHD, TH; PATH: KJA (study leader), NC, PB; SLAS I II: TPN (study leader), QG; Sydney MAS: PSS, HB (study leaders), DML, NAK, JDC, AT, GA, SR; WHICAP: NS (study leader), JM, YS; ZARADEMP: AL (study leader), RLA, JS. The PD150606MedChemExpress PD150606 authors of particular studies acknowledge: EAS: the contributions of Molly Zimmerman and Carol Derby; HK-MAPS: the contributions of Grace T.Y. Leung, Wai Chi Chan, Department of Health of Hong Kong SAR, the participants and the social centres for their assistance in the assessment, and thank Novartis and Astra Zeneca for their sponsorship of souvenirs for the p.]. This in turn could contribute to differences in the estimated prevalences of MCI jmir.6472 between studies (though the study with the lowest rate of dependence, ESPRIT, also had a lower prevalence of MCI than the study with the highest rate of dependence, WHICAP). Two studies had Chinese populations, but both were in high income countries, and while the American studies had some participants from black and Hispanic communities, these data are not presented separately. We have also restricted the analyses to prevalence figures and not examined determinants, which is worthy of future work.Supporting InformationS1 Fig. Overall crude prevalence estimates of both amnestic mild cognitive impairment (aMCI) and non-amnestic mild cognitive impairment (naMCI) among men and women ofPLOS ONE | DOI:10.1371/journal.pone.0142388 November 5,13 /Mild Cognitive Impairment Internationallydifferent age groups. (DOCX) S1 Table. Prevalence estimates of subjective memory complaints or concerns. (DOCX) S2 Table. Prevalence estimates of functional independence. (DOCX) S3 Table. Prevalence estimates of objective cognitive impairment based on harmonized cognitive domain scores. (DOCX) S4 Table. Prevalence estimates of objective cognitive impairment based on Mini-Mental State Examination scores. (DOCX) S5 Table. Prevalence estimates of objective cognitive impairment based on Clinical Dementia Ratings. (DOCX) S6 Table. Recoding of original education data into COSMIC categories. (DOCX) S7 Table. Sources of Instrumental Activities of Daily Living items used. (DOCX) S8 Table. Coding of responses for harmonized Telephone, Food preparation, and Medications items. (DOCX) S9 Table. Coding of responses for harmonized Shopping, Finances, and Transport items. (DOCX) S10 Table. Tests or test components assigned to the memory domain. (DOCX) S11 Table. Tests or test components assigned to the attention/processing speed domain. (DOCX) S12 Table. Tests or test components assigned to the language domain. (DOCX) S13 Table. Tests or test components assigned to the executive function domain. (DOCX) S14 Table. Tests or test components assigned to the perceptual-motor domain. (DOCX) S15 Table. Memory complaint questions. (DOCX) S16 Table. Dementia criteria and Clinical Dementia Rating use. (DOCX) S17 Table. Sample sizes for the different approaches to classifying mild cognitive impairment. (DOCX)PLOS ONE | DOI:10.1371/journal.pone.0142388 November 5,14 /Mild Cognitive Impairment InternationallyS18 Table. Association between education and mild cognitive impairment. (DOCX) S1 Text. Supplementary Methods. (DOCX) S2 Text. Supplementary Results. (DOCX)AcknowledgmentsThe members of the contributing COSMIC studies are: CFAS: CB (study leader), FEM, BCMS; EAS: RBL, MJK (study leaders); ESPRIT: KR, MLA (study leaders), IC; HK-MAPS: LCWL (study leader), CHYW, AWTF; Invece.Ab: AG (study leader), RV, AD; MoVIES: MG (study leader), HHD, TH; PATH: KJA (study leader), NC, PB; SLAS I II: TPN (study leader), QG; Sydney MAS: PSS, HB (study leaders), DML, NAK, JDC, AT, GA, SR; WHICAP: NS (study leader), JM, YS; ZARADEMP: AL (study leader), RLA, JS. The authors of particular studies acknowledge: EAS: the contributions of Molly Zimmerman and Carol Derby; HK-MAPS: the contributions of Grace T.Y. Leung, Wai Chi Chan, Department of Health of Hong Kong SAR, the participants and the social centres for their assistance in the assessment, and thank Novartis and Astra Zeneca for their sponsorship of souvenirs for the p.
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