scholarly journals Relationship of tooth loss to mild cognitive impairment among middle-aged Mongolians: Mon-Timeline study

2021 ◽  
Vol 4 (4) ◽  
pp. 10-18
Author(s):  
Urangoo Ganbaatar ◽  
Oyuntuya Gantulga ◽  
Puntsagdulam Byambajav ◽  
Maralgua Och ◽  
Ganjargal Ganburged ◽  
...  

Cognitive impairment is common in elderly people, so it is considered an ageing disorder. However, cognitive decline, including dementia, can also occur in middle-aged people. Cognitive impairment is associated with multiple risk factors. We hypothesised that tooth loss might also be a potential risk factor among Mongolians, as oral health problems are one of the significant health issues in Mongolia, especially in middle-aged people. In this cross-sectional study, we used the baseline data from the Mon-Timeline cohort study, including people older than 40 years of age (n=279). The amount of tooth loss was assessed by a trained researcher. Mild cognitive impairment (MCI) was defined as those participants scoring a total of £ 24 points based on the Mini-Mental State Examination (MMSE). Unadjusted analysis showed that having more tooth loss (>10) increased the risk of MCI by an odds ratio of 3.03 (1.49-6.17), as compared with having less tooth loss (£10). Even after adjusting for covariates, the association remained significant, suggesting that tooth loss is associated with MCI risk, independent of age, education, and other socioeconomic factors. There was no significant interaction effect of age in the association between tooth loss and MMSE scores. In conclusion, tooth loss may play a role in developing cognitive decline, especially in the early onset of dementia. Further studies are needed to investigate whether early tooth loss at younger ages is associated with dementia, especially among middle-aged people.

2021 ◽  
Vol 429 ◽  
pp. 119731
Author(s):  
Urangoo Ganbaatar ◽  
Uuganzaya Erdeneochir ◽  
Puntsagdulam Byambajav ◽  
Tsolmon Jadamba ◽  
Oyuntugs Byambasukh ◽  
...  

2021 ◽  
Vol 7 ◽  
pp. 233372142110052
Author(s):  
Ismail Ibrahim Ismail ◽  
Walaa A. Kamel ◽  
Jasem Y. Al-Hashel

Introduction: Since the declaration of coronavirus disease 2019 (COVID-19) as a pandemic, patients with dementia, were specifically vulnerable to the negative impact of the outbreak. Objective: To examine the association between lockdown amid COVID-19 pandemic and the rate of cognitive decline among patients with dementia and mild cognitive impairment (MCI). Methods: We conducted a cross-sectional observational study on patients with dementia and MCI who attended the outpatient clinic at Ibn Sina Hospital, the main tertiary neurology center in Kuwait, during the month of September 2020. The rate of cognitive decline, estimated by MMSE scores, was compared between the period prior to, and during lockdown. Results: We evaluated 36 consecutive patients with cognitive impairment (23 females [63.9%], mean age 71 ± 10.8 years, mean disease duration 34.6 ± 29 months). Eleven patients (30.6%) progressed to a more severe stage during the study period; 1 MCI (2.8%) converted to mild dementia, 6 (16.6%) mild to moderate, and 4 (11.1%) moderate to severe dementia. Monthly decline of MMSE scores before lockdown was 0.2 ± 0.1 points, while it was 0.53 ± 0.3 points during lockdown, which was statistically significant ( p = .001). The most affected cognitive domain was the memory with a mean decline of 1.5 ± 0.8 points. Conclusions: This study provides “real-world” data suggesting rapid cognitive decline in patients with dementia during the lockdown period. Healthcare systems should pay more attention to this vulnerable group, to help them maintain their mental, physical and social well-being during this crisis.


2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Hirotaka Ochiai ◽  
Takako Shirasawa ◽  
Takahiko Yoshimoto ◽  
Satsue Nagahama ◽  
Akihiro Watanabe ◽  
...  

Abstract Background Alanine aminotransferase (ALT) and aspartate aminotransferase (AST) to ALT ratio (AST/ALT ratio) have been shown to be related to non-alcoholic fatty liver disease or insulin resistance, which was associated with chronic kidney disease (CKD). However, it is unclear whether ALT and AST/ALT ratio are associated with CKD. In this study, we examined the relationship of ALT and AST/ALT ratio to CKD among middle-aged females in Japan. Methods The present study included 29,133 women aged 40 to 64 years who had an annual health checkup in Japan during April 2013 to March 2014. Venous blood samples were collected to measure ALT, AST, gamma-glutamyltransferase (GGT), and creatinine levels. In accordance with previous studies, ALT > 40 U/L and GGT > 50 U/L were determined as elevated, AST/ALT ratio < 1 was regarded as low, and CKD was defined as estimated glomerular filtration rate < 60 mL/min/1.73 m2 and/or proteinuria. Logistic regression model was used to calculate the odds ratio (OR) and 95% confidence interval (CI) for CKD. Results “Elevated ALT and elevated GGT” and “elevated ALT and non-elevated GGT” significantly increased the OR for CKD when compared with “non-elevated ALT and non-elevated GGT” (OR: 2.56, 95% CI: 2.10–3.12 and OR: 2.24, 95% CI: 1.81–2.77). Compared with “AST/ALT ratio ≥ 1 and non-elevated GGT”, “AST/ALT ratio < 1 and elevated GGT” and “AST/ALT ratio < 1 and non-elevated GGT” significantly increased the OR for CKD (OR: 2.73, 95% CI: 2.36–3.15 and OR: 1.68, 95% CI: 1.52–1.87). These findings still remained after adjustment for confounders. Conclusions Elevated ALT was associated with CKD regardless of GGT elevation. Moreover, low AST/ALT ratio was also associated with CKD independent of GGT elevation.


BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e046879
Author(s):  
Bernhard Grässler ◽  
Fabian Herold ◽  
Milos Dordevic ◽  
Tariq Ali Gujar ◽  
Sabine Darius ◽  
...  

IntroductionThe diagnosis of mild cognitive impairment (MCI), that is, the transitory phase between normal age-related cognitive decline and dementia, remains a challenging task. It was observed that a multimodal approach (simultaneous analysis of several complementary modalities) can improve the classification accuracy. We will combine three noninvasive measurement modalities: functional near-infrared spectroscopy (fNIRS), electroencephalography and heart rate variability via ECG. Our aim is to explore neurophysiological correlates of cognitive performance and whether our multimodal approach can aid in early identification of individuals with MCI.Methods and analysisThis study will be a cross-sectional with patients with MCI and healthy controls (HC). The neurophysiological signals will be measured during rest and while performing cognitive tasks: (1) Stroop, (2) N-back and (3) verbal fluency test (VFT). Main aims of statistical analysis are to (1) determine the differences in neurophysiological responses of HC and MCI, (2) investigate relationships between measures of cognitive performance and neurophysiological responses and (3) investigate whether the classification accuracy can be improved by using our multimodal approach. To meet these targets, statistical analysis will include machine learning approaches.This is, to the best of our knowledge, the first study that applies simultaneously these three modalities in MCI and HC. We hypothesise that the multimodal approach improves the classification accuracy between HC and MCI as compared with a unimodal approach. If our hypothesis is verified, this study paves the way for additional research on multimodal approaches for dementia research and fosters the exploration of new biomarkers for an early detection of nonphysiological age-related cognitive decline.Ethics and disseminationEthics approval was obtained from the local Ethics Committee (reference: 83/19). Data will be shared with the scientific community no more than 1 year following completion of study and data assembly.Trial registration numberClinicalTrials.gov, NCT04427436, registered on 10 June 2020, https://clinicaltrials.gov/ct2/show/study/NCT04427436.


2021 ◽  
Vol 18 ◽  
Author(s):  
Huilian Duan ◽  
Changqing Sun ◽  
Yun Zhu ◽  
Qian Liu ◽  
Yue Du ◽  
...  

Background: Recent findings suggest a possible role of diet, particularly nutrient in- takes and dietary patterns, in the prevalence of mild cognitive impairment (MCI); few studies, how- ever, have been explicitly devoted to the relationship between dietary habits and MCI. Objectives: We aimed to explore the association between dietary habits, including meal timing, and MCI among older Chinese adults. Methods: This cross-sectional study involved data collected at the baseline of the Tianjin Elderly Nutrition and Cognition Cohort (TENCC) study, in which 3,111 community-dwelling older adults (326 MCI patients and 2,785 non-MCIs) from a rural area of Tianjin, China, were recruited. In March 2018 to June 2019, all participants underwent a detailed neuropsychological evaluation that allowed for psychometric MCI classification. Information on self-reported dietary behaviors was gathered via face-to-face interviews. Crude and multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using logistic regression models. Results: In the multivariable-adjusted models, eating breakfast 4 to 6 times per week (vs. ≤3 times per week, OR: 0.45; 95% CI: 0.26, 0.75), drinking water before breakfast (yes vs. no, OR: 0.64; 95% CI: 0.51, 0.82), consuming water ≥1.5L per day (vs. <1.5L per day, OR: 0.64; 95% CI: 0.51, 0.82), and having lunch after 12:00 (vs. before 12:00, OR: 0.59; 95% CI: 0.47, 0.75) were associat- ed with decreased risk of MCI. Participants who consumed higher amounts of cooking oil were at a higher risk of MCI (moderate vs. low, OR: 1.42; 95% CI: 1.04, 1.92; high vs. low, OR: 1.40; 95% CI: 1.07-1.83). Conclusion : This study suggests that dietary habits, including breakfast frequency, daily water consumption, cooking oil consumption, and meal timing, may be associated with the risk of MCI. If replicated, these findings would open new possibilities of dietary interventions for MCI.


2010 ◽  
Vol 68 (2) ◽  
pp. 179-184 ◽  
Author(s):  
Felipe Kenji Sudo ◽  
Gilberto Sousa Alves ◽  
Carlos Eduardo de Oliveira Alves ◽  
Maria Elisa Lanna ◽  
Letice Ericeira-Valente ◽  
...  

OBJECTIVE: Cerebrovascular disease (CVD) is associated with cognitive deficits. This cross-sectional study examines differences among healthy elderly controls and patients with vascular mild cognitive impairment (VaMCI) and vascular dementia (VaD) in performances on CAMCOG subscales. METHOD: Elderly individuals (n=61) were divided into 3 groups, according to cognitive and neuroimaging status: 16 controls, 20 VaMCI and 25 VaD. VaMCI and VaD individuals scored over 4 points on the Hachinski Ischemic Scale. RESULTS: Significant differences in total CAMCOG scores were observed across the three groups (p<0.001). VaD subjects performed worse than those with VaMCI in most CAMCOG subscales (p<0.001). All subscales showed differences between controls and VaD (p<0.001). Performance on abstract thinking showed difference between VaMCI and controls (p<0.001). CONCLUSION: CAMCOG discriminated controls from VaMCI and VaD. Assessment of abstract thinking may be useful as a screening item for diagnosis of VaMCI.


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