Haiqun Xie1, Chengguo Zhang1, Yukai Wang1, Shuyun Huang1, Wei Cui2, Wenbin Yang2, Lisa Koski3, Xiping Xu4, Youbao Li4, Meili Zheng5, Mingli He6, Jia Fu7, Xiuli Shi7, Kai Wang7, Genfu Tang2, Binyan Wang2, Yong Huo8. 1. Department of Neurology, Foshan Hospital Affiliated to Sun Yat-sen University, Foshan, Guangdong, China. 2. Institute of Biomedicine, Anhui Medical University, Hefei, Anhui, China. 3. The Allan Memorial Institute, P2.142, McGill University Health Centre, Montréal, Quebec, Canada. 4. Division of Nephrology, Southern Medical University, Guangzhou, Guangdong, China. 5. Department of Cardiology, Beijing Chaoyang Hospital Affiliated to Capital University, Beijing, China. 6. Department of Neurology, First People's Hospital, Lianyungang, Jiangsu, China. 7. Department of Neurology, First Affiliated Hospital, Anhui Medical University, Hefei, Anhui, China. 8. Department of Cardiology, Peking University First Hospital, Beijing, China.
Abstract
BACKGROUND: Dementia is increasingly prevalent due to rapid aging of the population, but under-recognized among people with low education levels. This is partly due to a lack of appropriate and precise normative data, which underestimates cognitive aging in the use of screening tools for dementia. OBJECTIVE: We aimed to improve the precision of screening for cognitive impairment, by characterizing the patterns of cognitive aging and derived normative data of the Mini-Mental State Examination (MMSE) for illiterate and low-educated populations. METHODS: This community-based study included data from 2,280 individuals aged 40 years or older from two rural areas. Multiple linear modeling examined the effect of aging on cognition reflected by the MMSE, stratified by education level and gender. Threshold effect of age on cognition was performed using a smoothing function. RESULTS: The majority of participants (60.4%) were illiterate or had attended only primary school (24.6%). The effect of aging on cognition varied by gender and education. Primary-school educated females and males remained cognitively stable up to 62 and 71 years of age, respectively, with MMSE score declining 0.4 and 0.8 points/year in females and males thereafter. Illiterates females scored 2.3 points lower than illiterate males, and scores for both declined 0.2 points/year. According to these results, normative data stratified by age, education and gender was generated. CONCLUSION: This study suggests gender and educational differences exist in cognitive aging among adults with limited or no formal education. To improve screening precision for cognitive impairment with the use of MMSE in low-educated population, age, gender, and education level should be considered.
BACKGROUND:Dementia is increasingly prevalent due to rapid aging of the population, but under-recognized among people with low education levels. This is partly due to a lack of appropriate and precise normative data, which underestimates cognitive aging in the use of screening tools for dementia. OBJECTIVE: We aimed to improve the precision of screening for cognitive impairment, by characterizing the patterns of cognitive aging and derived normative data of the Mini-Mental State Examination (MMSE) for illiterate and low-educated populations. METHODS: This community-based study included data from 2,280 individuals aged 40 years or older from two rural areas. Multiple linear modeling examined the effect of aging on cognition reflected by the MMSE, stratified by education level and gender. Threshold effect of age on cognition was performed using a smoothing function. RESULTS: The majority of participants (60.4%) were illiterate or had attended only primary school (24.6%). The effect of aging on cognition varied by gender and education. Primary-school educated females and males remained cognitively stable up to 62 and 71 years of age, respectively, with MMSE score declining 0.4 and 0.8 points/year in females and males thereafter. Illiterates females scored 2.3 points lower than illiterate males, and scores for both declined 0.2 points/year. According to these results, normative data stratified by age, education and gender was generated. CONCLUSION: This study suggests gender and educational differences exist in cognitive aging among adults with limited or no formal education. To improve screening precision for cognitive impairment with the use of MMSE in low-educated population, age, gender, and education level should be considered.
Authors: Nilton Custodio; David Lira; Eder Herrera-Perez; Rosa Montesinos; Sheila Castro-Suarez; José Cuenca-Alfaro; Lucía Valeriano-Lorenzo Journal: Front Aging Neurosci Date: 2017-08-22 Impact factor: 5.750
Authors: Elena Tsoy; Alissa Bernstein Sideman; Stefanie D Piña Escudero; Maritza Pintado-Caipa; Suchanan Kanjanapong; Tala Al-Rousan; Lingani Mbakile-Mahlanza; Maira Okada de Oliveira; Myriam De la Cruz Puebla; Stelios Zygouris; Aya Ashour Mohamed; Hany Ibrahim; Collette A Goode; Bruce L Miller; Victor Valcour; Katherine L Possin Journal: J Alzheimers Dis Date: 2021 Impact factor: 4.160