Prevalence and Risk Factor of Cognitive Impairment were Different between Urban and Rural Population: A Community-Based Study

2015 ◽  
Vol 49 (4) ◽  
pp. 917-925 ◽  
Author(s):  
Hui-Dong Tang ◽  
Yi Zhou ◽  
Xiang Gao ◽  
Liang Liang ◽  
Miao-Miao Hou ◽  
...  
2012 ◽  
Vol 15 (3) ◽  
pp. 135-143 ◽  
Author(s):  
Jeffrey J. VanWormer ◽  
Pamela Jo Johnson ◽  
Raquel F. Pereira ◽  
Jackie L. Boucher ◽  
Heather R. Britt ◽  
...  

2009 ◽  
Vol 5 (4S_Part_13) ◽  
pp. P383-P383
Author(s):  
Simon Forstmeier ◽  
Michael Wagner ◽  
Wolfgang Maier ◽  
Hendrik Van Den Bussche ◽  
Birgitt Wiese ◽  
...  

Author(s):  
James R. Hall ◽  
Leigh A. Johnson ◽  
Fan Zhang ◽  
Melissa Petersen ◽  
Arthur W. Toga ◽  
...  

<b><i>Introduction:</i></b> Alzheimer’s disease (AD) is the most frequently occurring neurodegenerative disease; however, little work has been conducted examining biomarkers of AD among Mexican Americans. Here, we examined diffusion tensor MRI marker profiles for detecting mild cognitive impairment (MCI) and dementia in a multi-ethnic cohort. <b><i>Methods:</i></b> 3T MRI measures of fractional anisotropy (FA) were examined among 1,636 participants of the ongoing community-based Health &amp; Aging Brain among Latino Elders (HABLE) community-based study (Mexican American <i>n</i> = 851; non-Hispanic white <i>n</i> = 785). <b><i>Results:</i></b> The FA profile was highly accurate in detecting both MCI (area under the receiver operating characteristic curve [AUC] = 0.99) and dementia (AUC = 0.98). However, the FA profile varied significantly not only between diagnostic groups but also between Mexican Americans and non-Hispanic whites. <b><i>Conclusion:</i></b> Findings suggest that diffusion tensor imaging markers may have a role in the neurodiagnostic process for detecting MCI and dementia among diverse populations.


Author(s):  
Pingping Jia ◽  
Helen W.Y. Lee ◽  
Joyce Y.C. Chan ◽  
Karen K.L. Yiu ◽  
Kelvin K.F. Tsoi

High blood pressure (BP) is considered as an important risk factor for cognitive impairment and dementia. BP variability (BPV) may contribute to cognitive function decline or even dementia regardless of BP level. This study aims to investigate whether BPV is an independent predictor for cognitive impairment or dementia. Literature searches were performed in MEDLINE, Embase, PsycINFO, CINAHL, and Web of Science to May 2021. Longitudinal studies that assessed the risk of dementia or cognitive impairment with BPV as the predictor was included. Meta-analysis and meta-regression were performed to evaluate the effect of BPV on the risk of dementia or cognitive impairment. A total of 5919 papers were identified, and 16 longitudinal studies were included, which had >7 million participants and a median age from 50.9 to 79.9 years and a median follow-up of around 4 years. Thirteen studies reported visit-to-visit BPV and concluded that systolic BPV increases the risk of dementia with a pooled hazard ratio of 1.11 (95% CI, 1.05–1.17), and increases the risk of cognitive impairment with a pooled hazard ratio of 1.10 (95% CI, 1.06–1.15). Visit-to-visit diastolic BPV also increased the risk of dementia and cognitive decline. A meta-regression revealed a linear relationship between higher BPV and risks of dementia and cognitive impairment. Similar findings were observed in the studies with day-to-day BPV. This study suggests that long-term BPV is an independent risk factor for cognitive impairment or dementia, so an intervention plan for reducing BPV can be a target for early prevention of dementia.


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