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Age- and Sex-Specific Prevalence and Modifiable Risk Factors of Mild Cognitive Impairment Among Older Adults in China: A Population-Based Observational Study

BACKGROUND: Minimal data are available on the prevalence of mild cognitive impairment (MCI) in older Chinese adults. Moreover, the current information on MCI shows important geographical variations. OBJECTIVE: We aimed to assess the prevalence and risk factors for MCI by age and sex among older adul...

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Autores principales: Fu, Jingzhu, Liu, Qian, Du, Yue, Zhu, Yun, Sun, Changqing, Lin, Hongyan, Jin, Mengdi, Ma, Fei, Li, Wen, Liu, Huan, Zhang, Xumei, Chen, Yongjie, Sun, Zhuoyu, Wang, Guangshun, Huang, Guowei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662098/
https://www.ncbi.nlm.nih.gov/pubmed/33192471
http://dx.doi.org/10.3389/fnagi.2020.578742
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author Fu, Jingzhu
Liu, Qian
Du, Yue
Zhu, Yun
Sun, Changqing
Lin, Hongyan
Jin, Mengdi
Ma, Fei
Li, Wen
Liu, Huan
Zhang, Xumei
Chen, Yongjie
Sun, Zhuoyu
Wang, Guangshun
Huang, Guowei
author_facet Fu, Jingzhu
Liu, Qian
Du, Yue
Zhu, Yun
Sun, Changqing
Lin, Hongyan
Jin, Mengdi
Ma, Fei
Li, Wen
Liu, Huan
Zhang, Xumei
Chen, Yongjie
Sun, Zhuoyu
Wang, Guangshun
Huang, Guowei
author_sort Fu, Jingzhu
collection PubMed
description BACKGROUND: Minimal data are available on the prevalence of mild cognitive impairment (MCI) in older Chinese adults. Moreover, the current information on MCI shows important geographical variations. OBJECTIVE: We aimed to assess the prevalence and risk factors for MCI by age and sex among older adults in a North Chinese population. METHODS: In this population-based cross-sectional study, we enrolled a random sample of 4,943 adults aged ≥ 60 years between March 2018 and June 2019 in Tianjin, China. Of these, 312 individuals were excluded due to a lack of data (e.g., fasting blood test). As a result, 4,631 subjects were assessed. Individuals with MCI were identified using neuropsychological assessments, including the Mini-Mental State Examination and Activities of Daily Living scale, based on a modified version of the Petersen’s criteria. RESULTS: The mean (SD) age of the 4,631 participants was 67.6 (4.89) years, and 2,579 (55.7%) were female. The overall age- and sex-standardized prevalence of MCI in our study population was 10.7%. There were significant associations of MCI with age [65–69 vs. 60–64 years, OR = 0.74; 95% confidence interval (CI): 0.58, 0.96], physical activity (≥23.0 vs. <23.0 MET-hours/week, OR = 0.79; 95% CI: 0.64, 0.96), body mass index (BMI) (OR = 0.92; 95% CI: 0.89, 0.95), grip strength (OR = 0.50; 95% CI: 0.38, 0.67), hypertension (yes vs. no, OR = 1.44; 95% CI: 1.18, 1.77), higher levels of sleepiness (OR = 1.80; 95% CI: 1.36, 2.37), and longer sleep duration (OR = 1.40; 95% CI: 1.14, 1.72). The inverse association between BMI and MCI was stronger in older age groups (P for heterogeneity = 0.003). Moreover, the magnitude of association between triglycerides and MCI was different between the sexes (P for heterogeneity = 0.029). CONCLUSION: The age- and sex-standardized prevalence of MCI was 10.7% in the study sample. Physical activity, BMI, grip strength, sleepiness, sleep duration, and hypertension were associated with the prevalence of MCI. Additionally, triglycerides and BMI might be differently associated with the presence of MCI for different sexes and age stages, respectively.
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spelling pubmed-76620982020-11-13 Age- and Sex-Specific Prevalence and Modifiable Risk Factors of Mild Cognitive Impairment Among Older Adults in China: A Population-Based Observational Study Fu, Jingzhu Liu, Qian Du, Yue Zhu, Yun Sun, Changqing Lin, Hongyan Jin, Mengdi Ma, Fei Li, Wen Liu, Huan Zhang, Xumei Chen, Yongjie Sun, Zhuoyu Wang, Guangshun Huang, Guowei Front Aging Neurosci Neuroscience BACKGROUND: Minimal data are available on the prevalence of mild cognitive impairment (MCI) in older Chinese adults. Moreover, the current information on MCI shows important geographical variations. OBJECTIVE: We aimed to assess the prevalence and risk factors for MCI by age and sex among older adults in a North Chinese population. METHODS: In this population-based cross-sectional study, we enrolled a random sample of 4,943 adults aged ≥ 60 years between March 2018 and June 2019 in Tianjin, China. Of these, 312 individuals were excluded due to a lack of data (e.g., fasting blood test). As a result, 4,631 subjects were assessed. Individuals with MCI were identified using neuropsychological assessments, including the Mini-Mental State Examination and Activities of Daily Living scale, based on a modified version of the Petersen’s criteria. RESULTS: The mean (SD) age of the 4,631 participants was 67.6 (4.89) years, and 2,579 (55.7%) were female. The overall age- and sex-standardized prevalence of MCI in our study population was 10.7%. There were significant associations of MCI with age [65–69 vs. 60–64 years, OR = 0.74; 95% confidence interval (CI): 0.58, 0.96], physical activity (≥23.0 vs. <23.0 MET-hours/week, OR = 0.79; 95% CI: 0.64, 0.96), body mass index (BMI) (OR = 0.92; 95% CI: 0.89, 0.95), grip strength (OR = 0.50; 95% CI: 0.38, 0.67), hypertension (yes vs. no, OR = 1.44; 95% CI: 1.18, 1.77), higher levels of sleepiness (OR = 1.80; 95% CI: 1.36, 2.37), and longer sleep duration (OR = 1.40; 95% CI: 1.14, 1.72). The inverse association between BMI and MCI was stronger in older age groups (P for heterogeneity = 0.003). Moreover, the magnitude of association between triglycerides and MCI was different between the sexes (P for heterogeneity = 0.029). CONCLUSION: The age- and sex-standardized prevalence of MCI was 10.7% in the study sample. Physical activity, BMI, grip strength, sleepiness, sleep duration, and hypertension were associated with the prevalence of MCI. Additionally, triglycerides and BMI might be differently associated with the presence of MCI for different sexes and age stages, respectively. Frontiers Media S.A. 2020-10-30 /pmc/articles/PMC7662098/ /pubmed/33192471 http://dx.doi.org/10.3389/fnagi.2020.578742 Text en Copyright © 2020 Fu, Liu, Du, Zhu, Sun, Lin, Jin, Ma, Li, Liu, Zhang, Chen, Sun, Wang and Huang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Fu, Jingzhu
Liu, Qian
Du, Yue
Zhu, Yun
Sun, Changqing
Lin, Hongyan
Jin, Mengdi
Ma, Fei
Li, Wen
Liu, Huan
Zhang, Xumei
Chen, Yongjie
Sun, Zhuoyu
Wang, Guangshun
Huang, Guowei
Age- and Sex-Specific Prevalence and Modifiable Risk Factors of Mild Cognitive Impairment Among Older Adults in China: A Population-Based Observational Study
title Age- and Sex-Specific Prevalence and Modifiable Risk Factors of Mild Cognitive Impairment Among Older Adults in China: A Population-Based Observational Study
title_full Age- and Sex-Specific Prevalence and Modifiable Risk Factors of Mild Cognitive Impairment Among Older Adults in China: A Population-Based Observational Study
title_fullStr Age- and Sex-Specific Prevalence and Modifiable Risk Factors of Mild Cognitive Impairment Among Older Adults in China: A Population-Based Observational Study
title_full_unstemmed Age- and Sex-Specific Prevalence and Modifiable Risk Factors of Mild Cognitive Impairment Among Older Adults in China: A Population-Based Observational Study
title_short Age- and Sex-Specific Prevalence and Modifiable Risk Factors of Mild Cognitive Impairment Among Older Adults in China: A Population-Based Observational Study
title_sort age- and sex-specific prevalence and modifiable risk factors of mild cognitive impairment among older adults in china: a population-based observational study
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662098/
https://www.ncbi.nlm.nih.gov/pubmed/33192471
http://dx.doi.org/10.3389/fnagi.2020.578742
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