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Is there a common latent cognitive construct for dementia estimation across two Chinese cohorts?
Liu, Yuyang; Wu, Yanjuan; Cai, Jingheng; Huang, Yun; Chen, Yuntao; Venkatraman, Tishya M; Lobanov-Rostovsky, Sophia; Bandosz, Piotr; Yang, Yung-Jen; Wu, Yu-Tzu; Liao, Jing; Hao, Yuantao; Brunner, Eric J.
Afiliação
  • Liu Y; Department of Medical Statistics School of Public Health Sun Yat-sen University Guangzhou People's Republic of China.
  • Wu Y; Sun Yat-sen Global Health Institute School of Public Health and Institute of State Governance Sun Yat-sen University Guangzhou People's Republic of China.
  • Cai J; Department of Medical Statistics School of Public Health Sun Yat-sen University Guangzhou People's Republic of China.
  • Huang Y; Sun Yat-sen Global Health Institute School of Public Health and Institute of State Governance Sun Yat-sen University Guangzhou People's Republic of China.
  • Chen Y; Department of Statistics Sun Yat-sen University Guangzhou People's Republic of China.
  • Venkatraman TM; Guangdong Provincial Center for Disease Control and Prevention Guangzhou People's Republic of China.
  • Lobanov-Rostovsky S; Department of Epidemiology & Public Health University College London London UK.
  • Bandosz P; Department of Epidemiology & Public Health University College London London UK.
  • Yang YJ; Department of Epidemiology & Public Health University College London London UK.
  • Wu YT; Department of Public Health and Policy University of Liverpool Liverpool UK.
  • Liao J; Department of Prevention and Medical Education Medical University of Gdansk Gdansk Poland.
  • Hao Y; Social Research Institute Institute of Education University College London London UK.
  • Brunner EJ; Population Health Sciences Institute Newcastle University Newcastle UK.
Alzheimers Dement (Amst) ; 14(1): e12356, 2022.
Article em En | MEDLINE | ID: mdl-36177152
ABSTRACT

Introduction:

It is valuable to identify common latent cognitive constructs for dementia prevalence estimation across Chinese aging cohorts.

Methods:

Based on cognitive measures of 12015 Chinese Longitudinal Healthy Longevity Survey (CLHLS; 13 items) and 6623 China Health and Retirement Longitudinal Study (CHARLS; 9 items) participants aged 65 to 99 in 2018, confirmatory factor analysis was applied to identify latent cognitive constructs, and to estimate dementia prevalence compared to Mini-Mental State Examination (MMSE) and nationwide estimates of the literature.

Results:

A common three-factor cognitive construct of orientation, memory, and executive function and language was found for both cohorts with adequate model fits. Crude dementia prevalence estimated by factor scores was similar to MMSE in CLHLS, and was more reliable in CHARLS. Age-standardized dementia estimates of CLHLS were lower than CHARLS among those aged 70+, which were close to the nationwide prevalence reported by the COAST study and Global Burden of Disease.

Discussion:

We verified common three-factor cognitive constructs for both cohorts, providing an approach to estimate dementia prevalence at the national level. Highlights Common three-factor cognitive constructs were identified in Chinese Longitudinal Healthy Longevity Survey (CLHLS) and China Health and Retirement Longitudinal Study (CHARLS).Crude dementia estimates using factor scores were reliable in both cohorts.Estimates of CHARLS were close to current evidence, but higher than that of CLHLS.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Alzheimers Dement (Amst) Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Alzheimers Dement (Amst) Ano de publicação: 2022 Tipo de documento: Article