scholarly journals GENDER DIFFERENCES IN THE PREVALENCE AND INCIDENCE OF COGNITIVE IMPAIRMENT: DOES IMMIGRATION MATTER?

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S814-S815
Author(s):  
Fengyan Tang ◽  
Fengyan Tang ◽  
Ke Li ◽  
Iris Chi ◽  
XinQi Dong
Keyword(s):  
Cognitive Impairment ◽  
Mini Mental State Examination ◽  
Chinese Women ◽  
Future Research ◽  
Research Needs ◽  
Related Factors ◽  
Men And Women ◽  
Baseline Incidence ◽  
Older Chinese ◽  
State Examination

Abstract Using two waves of the PINE data, this study examined gender difference in the associations between immigration-related factors and cognitive impairment (CI). CI was assessed by the Chinese Mini-Mental State Examination (C-MMSE). CI prevalence was determined by C-MMSE < 18 at baseline; incidence was the percentage of the respondents whose C-MMSE > 18 at baseline but dropped below 18 at Wave 2. We found 7.62% CI prevalence and 5.12% incidence rate. Women were more likely than men to have CI, consisting of 77.06% and 75.20% among persons with CI at two time points. Older Chinese women were generally disadvantaged in cognition and overall health compared with older men. Yet immigration experience does not link to CI for both men and women after controlling the well-established effects of age and education. Future research needs to investigate what biological and contextual factors earlier in life are predictive of late-life CI risk.

scholarly journals Synergistic influence of education and marriage on the risk for cognition loss among the older people in China

2020 ◽  
Author(s):  
ning sun ◽  
Rangcheng Jia ◽  
Chunyan Guo ◽  
Tongda Sun ◽  
Xiaoxin Dong ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Older People ◽  
Educational Level ◽  
Mini Mental State Examination ◽  
Educational Levels ◽  
Age Related ◽  
Related Risk ◽  
Older Chinese ◽  
Age Range ◽  
State Examination

Abstract Background The study was aim to prove that both rationality and emotion are indispensable for older people to maintain their ability to live independently during the twilight of their lives. Methods The resilience of older people to dementia were investigated by considering the interactions between educational levels and marriage status. Four sociodemographic variables (age, sex, educational level, and marital status) were collected from 1177 older Chinese participants, whose mini-mental state examination scores (MMSE scores) were measured. Results A lower educational level coupled with being widowed caused a greater risk for severe cognitive impairment (relative risk [RR] 1.48; 95% confidence interval [CI] 1.20–1.82; p < 0.001) for high-aged older participants (age range: ≥80) than for their low-aged counterparts (age range: ≥60 and < 80). In contrast, a higher educational level coupled with being married leveled this age-related risk for cognitive loss (RR 0.91; 95% CI 0.65–1.27; p = 0.62). Conclusions Further findings suggest that the synergistic influence of education and marriage was observed only among high-aged older people .Being both well-educated and married is associated with a delayed cognitive function for older people. However, longevity is a prerequisite for realizing this benefit.

PREVALENCE OF COGNITIVE IMPAIRMENT AND ASSOCIATED FACTORS AMONG THE ELDERLY IN PHU AN COMMUNE, PHU VANG DISTRICT, THUA THIEN HUE PROVINCE IN 2016

2018 ◽  
Vol 8 (5) ◽  
pp. 72-77
Author(s):  
Tu Huynh Thi Thanh ◽  
Khanh Doan Vuong Diem ◽  
Hanh Nguyen Thi ◽  
Nguyen Le Thi Thao ◽  
Linh Tran Thi Phuong ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Associated Factors ◽  
Mini Mental State Examination ◽  
The Elderly ◽  
Living Alone ◽  
Health Checkup ◽  
Related Factors ◽  
Increasing Risk ◽  
State Examination

Background: Cognitive impairment is one of the major causes of disability and dependency among the elderly. Cognitive impairment not only seriously affects the quality of the patient’s life but also has a great impact on physical, psychological and economic situation of family caregivers and society. There is little research on the prevalence of cognitive impairment and its related factors in Vietnam. Aims: The aims of this study were: (i) To examine the prevalence of cognitive impairment among the elderly in Phu An commune, Phu Vang district, Thua Thien Hue province (ii) To examine some associated factors of cognitive impairment among participants. Methods: A randomly selected sample of 343 people aged 60 years and over living in Phu An commune were interviewed and examined. MMSE test (Mini Mental State Examination) was used as a screening instrument for cognitive impairment. Multilogistic regression was undertaken for exploring associated factors of cognitive impairment. Results: The overall prevalence of cognitive impairment was 19.5%. Increasing age, inconvenient marital status (single, widowed, separate), living alone were associated with increasing risk of acquiring cognitive impairment. Conclusion: In this population, probable cognitive impairment is common. Health education program and routine health checkup for early detection and intervention of cognitive impairment are urgently needed among the elderly in Vietnam. Key words: Cognitive impairment, prevalence, associated factors, elderly people

scholarly journals Post-stroke cognitive impairment on the Mini-Mental State Examination primarily relates to left middle cerebral artery infarcts

2021 ◽  
pp. 174749302098455
Author(s):  
Nick A Weaver ◽  
Angelina K Kancheva ◽  
Jae-Sung Lim ◽  
J Matthijs Biesbroek ◽  
Irene MC Huenges Wajer ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Middle Cerebral Artery ◽  
Cerebral Artery ◽  
Cognitive Deficits ◽  
Mini Mental State Examination ◽  
Left Middle Cerebral Artery ◽  
Post Stroke ◽  
Lesion Symptom Mapping ◽  
State Examination ◽  
Left Middle

Background Post-stroke cognitive impairment can occur after damage to various brain regions, and cognitive deficits depend on infarct location. The Mini-Mental State Examination (MMSE) is still widely used to assess post-stroke cognition, but it has been criticized for capturing only certain cognitive deficits. Along these lines, it might be hypothesized that cognitive deficits as measured with the MMSE primarily involve certain infarct locations. Aims This comprehensive lesion-symptom mapping study aimed to determine which acute infarct locations are associated with post-stroke cognitive impairment on the MMSE. Methods We examined associations between impairment on the MMSE (<5th percentile; normative data) and infarct location in 1198 patients (age 67 ± 12 years, 43% female) with acute ischemic stroke using voxel-based lesion-symptom mapping. As a frame of reference, infarct patterns associated with impairments in individual cognitive domains were determined, based on a more detailed neuropsychological assessment. Results Impairment on the MMSE was present in 420 patients (35%). Large voxel clusters in the left middle cerebral artery territory and thalamus were significantly (p < 0.01) associated with cognitive impairment on the MMSE, with highest odds ratios (>15) in the thalamus and superior temporal gyrus. In comparison, domain-specific impairments were related to various infarct patterns across both hemispheres including the left medial temporal lobe (verbal memory) and right parietal lobe (visuospatial functioning). Conclusions Our findings indicate that post-stroke cognitive impairment on the MMSE primarily relates to infarct locations in the left middle cerebral artery territory. The MMSE is apparently less sensitive to cognitive deficits that specifically relate to other locations.

Mini-Mental State Examination (MMSE) for the early detection of dementia in people with mild cognitive impairment (MCI)

2021 ◽  
Vol 2021 (7) ◽  
Author(s):  
Ingrid Arevalo-Rodriguez ◽  
Nadja Smailagic ◽  
Marta Roqué-Figuls ◽  
Agustín Ciapponi ◽  
Erick Sanchez-Perez ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Early Detection ◽  
Mental State ◽  
Mini Mental State Examination ◽  
State Examination

scholarly journals Study of cognitive functions in major idiopathic interstitial pneumonias

2020 ◽  
Vol 14 (1) ◽  
Author(s):  
Mohamed W. Zakaria ◽  
Reem I. El-Korashy ◽  
Mostafa O. Shaheen ◽  
Samah Selim ◽  
Kwashi J. Amum
Keyword(s):  
Cognitive Impairment ◽  
Cognitive Function ◽  
Cognitive Dysfunction ◽  
Mini Mental State Examination ◽  
Mmse Score ◽  
Control Group ◽  
Healthy Individuals ◽  
Co Morbidity ◽  
Impaired Lung Function ◽  
State Examination

Abstract Background Cognitive dysfunction in idiopathic interstitial pneumonia (IIP) is an important clinical co-morbidity that is associated with impaired lung function. The aim of the work is to assess cognitive function in major IIP and to find out the relation between cognitive dysfunction and the oxygenation parameters. Results Fifty individuals were involved in the study; 30 patients with major IIP and 20 healthy individuals. Patients with IIP had significantly lower mini mental state examination (MMSE) score compared to the control group (P < 0.001). Wechsler Deterioration Index (WDI) revealed that 33.3% (n = 10) of the patients with IIP had sure cognitive impairment and 26.6% (n = 8) had ongoing cognitive deterioration. Patients with idiopathic pulmonary fibrosis (IPF) had lower cognitive function than other IIP. Conclusion There is an impairment of cognitive function in patients with major IIP, particularly in IPF, as measured by WDI and MMSE. Further large studies are needed to assess the possible predictors of cognitive impairment and their effects on the patients’ outcome.

scholarly journals Preoperative Cognitive Impairment as a Predictor of Postoperative Outcomes in Elderly Patients Undergoing Spinal Surgery for Degenerative Spinal Disease

2021 ◽  
Vol 10 (7) ◽  
pp. 1385
Author(s):  
Hyung Cheol Kim ◽  
Seong Bae An ◽  
Hyeongseok Jeon ◽  
Tae Woo Kim ◽  
Jae Keun Oh ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Elderly Patients ◽  
Mental State ◽  
Mini Mental State Examination ◽  
Operation Time ◽  
Cognitive Status ◽  
Blood Analysis ◽  
Spinal Disease ◽  
Degenerative Spinal Disease ◽  
State Examination

Cognitive status has been reported to affect the peri-operative and post-operative outcomes of certain surgical procedures. This prospective study investigated the effect of preoperative cognitive impairment on the postoperative course of elderly patients (n = 122, >65 years), following spine surgery for degenerative spinal disease. Data on demographic characteristics, medical history, and blood analysis results were collected. Preoperative cognition was assessed using the mini-mental state examination, and patients were divided into three groups: normal cognition, mild cognitive impairment, and moderate-to-severe cognitive impairment. Discharge destinations (p = 0.014) and postoperative cardiopulmonary complications (p = 0.037) significantly differed based on the cognitive status. Operation time (p = 0.049), white blood cell count (p = 0.022), platelet count (p = 0.013), the mini-mental state examination score (p = 0.033), and the Beck Depression Inventory score (p = 0.041) were significantly associated with the length of hospital stay. Our investigation demonstrated that improved understanding of preoperative cognitive status may be helpful in surgical decision-making and postoperative care of elderly patients with degenerative spinal disease.

scholarly journals Can the MMSE help clinicians predict progression from mild cognitive impairment to dementia?

2015 ◽  
Vol 21 (6) ◽  
pp. 363-366 ◽  
Author(s):  
Alex J. Mitchell
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Risk Prediction ◽  
Mental State ◽  
Mini Mental State Examination ◽  
Case Finding ◽  
Cognitive Test ◽  
Prediction Tool ◽  
State Examination

SummaryThe Mini-Mental State Examination (MMSE) is the most widely used bedside cognitive test. It has previously been shown to be poor as a case-finding tool for both dementia and mild cognitive impairment (MCI). This month's Cochrane Corner review examines whether the MMSE might be used as a risk prediction tool for later dementia in those with established MCI. From 11 studies of modest quality, it appears that the MMSE alone should not be relied on to predict later deterioration in people with MCI. As this is the case, it is likely that only a combination of predictors would be able to accurately predict progression from MCI to dementia.

Disruptive Vocalization and Depression in Older Nursing Home Residents

2000 ◽  
Vol 12 (4) ◽  
pp. 463-471 ◽  
Author(s):  
Michael Dwyer ◽  
Gerard J. A. Byrne
Keyword(s):  
Nursing Home ◽  
Cognitive Impairment ◽  
Depressive Symptoms ◽  
Mini Mental State Examination ◽  
Mmse Score ◽  
Nursing Home Residents ◽  
Confounding Variables ◽  
The Relationship ◽  
State Examination ◽  
Age And Sex

Screaming and other types of disruptive vocalization are commonly observed among nursing home residents. Depressive symptoms are also frequently seen in this group, although the relationship between disruptive vocalization and depressive symptoms is unclear. Accordingly, we sought to examine this relationship in older nursing home residents. We undertook a controlled comparison of 41 vocally disruptive nursing home residents and 43 non-vocally-disruptive nursing home residents. All participants were selected to have Mini-Mental State Examination (MMSE) scores of at least 10. Participants had a mean age of 81.0 years (range 63-97 years) and had a mean MMSE score of 17.8 (range 10-29). Nurse ratings of disruptive vocalization according to a semioperationalized definition were validated against the noisy behavior subscale of the Cohen-Mansfield Agitation Inventory. Subjects were independently rated for depressive symptoms by a psychiatrist using the Dementia Mood Assessment Scale, the Cornell Scale for Depression in Dementia, and the Depressive Signs Scale. Vocally disruptive nursing home residents scored significantly higher than controls on each of these three depresion-in-dementia scales. These differences remained significant when the effects of possible confounding variables of cognitive impairment, age, and sex were removed. We conclude that depressive symptoms are associated with disruptive vocalization and may have an etiological role in the generation of disruptive vocalization behaviors in elderly nursing home residents.

scholarly journals Cyber-Flirting: An Examination of Men's and Women's Flirting Behaviour Both Offline and on the Internet

2004 ◽  
Vol 21 (2) ◽  
pp. 115-126 ◽  
Author(s):  
Monica T. Whitty
Keyword(s):  
Physical Attractiveness ◽  
The Body ◽  
Nonverbal Cues ◽  
Future Research ◽  
The Internet ◽  
Research Needs ◽  
Men And Women ◽  
Face To Face ◽  
Online Interactions

AbstractWhile flirting is a relatively underresearched area within psychology, even less is known about how people cyber-flirt. This paper explores how often individuals flirt offline compared to online. Moreover, it attempts to examine how men and women flirt within these different spaces. Five thousand, six hundred and ninety-seven individuals, of which 3554 (62%) were women and 2143 (38%) were men, completed a survey about their flirting behaviour both in face-to-face interactions and in chatrooms. The first hypothesis, which stated that the body would be used to flirt with as frequently online as offline, was partly supported. However, it was found that individuals downplayed the importance of physical attractiveness online. Women flirted by displaying nonverbal signals (offline) or substitutes for nonverbal cues (online), to a greater extent than men. In chatrooms men were more likely than women to initiate contact. It is concluded that cyber-flirting is more than simply a meeting of minds and that future research needs to consider the role of the body in online interactions.

scholarly journals Random Forest Model in the Diagnosis of Dementia Patients with Normal Mini-Mental State Examination Scores

2022 ◽  
Vol 12 (1) ◽  
pp. 37
Author(s):  
Jie Wang ◽  
Zhuo Wang ◽  
Ning Liu ◽  
Caiyan Liu ◽  
Chenhui Mao ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cognitive Impairment ◽  
Random Forest ◽  
Mental State ◽  
Mini Mental State Examination ◽  
Machine Learning Algorithms ◽  
Assessment Model ◽  
Test Time ◽  
Cognitive Screening ◽  
State Examination

Background: Mini-Mental State Examination (MMSE) is the most widely used tool in cognitive screening. Some individuals with normal MMSE scores have extensive cognitive impairment. Systematic neuropsychological assessment should be performed in these patients. This study aimed to optimize the systematic neuropsychological test battery (NTB) by machine learning and develop new classification models for distinguishing mild cognitive impairment (MCI) and dementia among individuals with MMSE ≥ 26. Methods: 375 participants with MMSE ≥ 26 were assigned a diagnosis of cognitively unimpaired (CU) (n = 67), MCI (n = 174), or dementia (n = 134). We compared the performance of five machine learning algorithms, including logistic regression, decision tree, SVM, XGBoost, and random forest (RF), in identifying MCI and dementia. Results: RF performed best in identifying MCI and dementia. Six neuropsychological subtests with high-importance features were selected to form a simplified NTB, and the test time was cut in half. The AUC of the RF model was 0.89 for distinguishing MCI from CU, and 0.84 for distinguishing dementia from nondementia. Conclusions: This simplified cognitive assessment model can be useful for the diagnosis of MCI and dementia in patients with normal MMSE. It not only optimizes the content of cognitive evaluation, but also improves diagnosis and reduces missed diagnosis.

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