Memory decline in healthy older people: Implications for identifying mild cognitive impairment

Neurology ◽  
2001 ◽  
Vol 56 (11) ◽  
pp. 1533-1538 ◽  
Author(s):  
A. Collie ◽  
P. Maruff ◽  
R. Shafiq-Antonacci ◽  
M. Smith ◽  
M. Hallup ◽  
...  
2013 ◽  
Vol 10 (4) ◽  
pp. 373-389 ◽  
Author(s):  
Simona Gardini ◽  
Fernando Cuetos ◽  
Fabrizio Fasano ◽  
Francesca Ferrari Pellegrini ◽  
Massimo Marchi ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yemin Yuan ◽  
Jie Li ◽  
Nan Zhang ◽  
Peipei Fu ◽  
Zhengyue Jing ◽  
...  

Abstract Background Evidence concerning the association between body mass index (BMI) and cognitive function among older people is inconsistent. This study aimed to investigate gender and age as moderators in association between BMI and mild cognitive impairment (MCI) among rural older adults. Methods Data were derived from the 2019 Health Service for Rural Elderly Families Survey in Shandong, China. In total, 3242 people aged 60 years and above were included in the analysis. Multilevel mixed-effects logistic regression was used to examine the moderating roles of gender and age, then further to explore the relationship between BMI and MCI. Results There were 601 (18.5%) participants with MCI. Compared with normal BMI group, low BMI group had a higher risk of MCI among older people [adjusted odds ratio (aOR) = 2.08, 95% confidence interval (CI): 1.26–3.44], women (aOR = 2.06, 95% CI: 1.35–3.12), or the older elderly aged ≥75 years old (aOR = 3.20, 95% CI: 1.34–7.45). This effect remained statistically significant among older women (aOR = 3.38, 95% CI: 1.69–6.73). Among older men, elevated BMI group had a higher risk of MCI (aOR = 2.32, 95% CI: 1.17–4.61) than normal BMI group. Conclusions Gender and age moderated the association between BMI and MCI among Chinese rural older adults. Older women with low BMI were more likely to have MCI, but older men with elevated BMI were more likely to have MCI. These findings suggest rural community managers strengthen the health management by grouping the weight of older people to prevent the risk of dementia.


2015 ◽  
pp. 687 ◽  
Author(s):  
Sima Ataollahi Eshkoor ◽  
Chan Yoke Mun ◽  
Chee Kyun Ng ◽  
Tengku Aizan Hamid

2016 ◽  
Vol 36 ◽  
pp. 42-45 ◽  
Author(s):  
Achiraya Chaikham ◽  
Supawadee Putthinoi ◽  
Suchitporn Lersilp ◽  
Anuruk Bunpun ◽  
Nopasit Chakpitak

2002 ◽  
Vol 36 (1) ◽  
pp. 133-140 ◽  
Author(s):  
Alexander Collie ◽  
Paul Maruff

Objective: Over the past two decades, a number of systems have been developed for the classification of cognitive and behavioural abnormalities in older people, in order that individuals at high risk of developing neurodegenerative disease, particularly Alzheimer's disease, may be identified well before the disease manifests clinically. This article critically examines the inclusion and exclusion criteria of a number of such classification systems, to determine the effect that variations in criterion may have on clinical, behavioural and neuroimaging outcomes reported from older people with mild cognitive impairment. Method: Qualitative review of the literature describing systems of classifying mild cognitive impairment, and outcomes from clinical, behavioural, neuroimaging and genetic studies of older people with mild cognitive impairment. Results: The exclusion and inclusion criteria for these classification systems vary markedly, as do the design of studies upon which the validity of these systems has been assessed. Minor changes to individual exclusion/inclusion criterion may result in substantial changes to estimates of the prevalence and clinical outcome of mild cognitive impairment, while inadequate experimental design may act to confound the interpretation of results. Conclusions: As a result of these factors, accurate and consistent estimates of the outcome of mild cognitive impairments in otherwise healthy older people are yet to be obtained. On the basis of this analysis of the literature, optimal criteria via which accurate classifications of mild cognitive impairment can be made in future are proposed.


2014 ◽  
Vol 15 (4) ◽  
pp. 422-427 ◽  
Author(s):  
Takehiko Doi ◽  
Hiroyuki Shimada ◽  
Hyuma Makizako ◽  
Kota Tsutsumimoto ◽  
Kazuki Uemura ◽  
...  

2019 ◽  
Vol 33 (2) ◽  
pp. 136-141 ◽  
Author(s):  
Radmila T. Tsoy ◽  
Saule T. Turuspekova ◽  
Nina K. Klipitskaya ◽  
Alibek Mereke ◽  
Robert G. Cumming

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