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1

Galea, Mary, and Michael Woodward. "Mini-Mental State Examination (MMSE)." Australian Journal of Physiotherapy 51, no. 3 (2005): 198. http://dx.doi.org/10.1016/s0004-9514(05)70034-9.

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Kurlowicz, Lenore, and Meredith Wallace. "The Mini-Mental State Examination (MMSE)." Journal of Gerontological Nursing 25, no. 5 (May 1, 1999): 8–9. http://dx.doi.org/10.3928/0098-9134-19990501-08.

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3

Ghose, Swapon Kumar, Ahmed Hossain Chowdhury, ATM Hasibul Hasan, Muhammad Zillur Rahman Khan, ASM Rezaul Karim, Kanol Saha, Mansur Habib, Md Azharul Hoque, Md Badrul Alam, and Quazi Deen Mohammad. "Comparison of Mini-Mental State Examination (Mmse) and Bangla Mini-Mental State Examination (Mmse-B) Among Healthy Elderly in Bangladesh." Journal of Dhaka Medical College 24, no. 1 (September 7, 2016): 30–35. http://dx.doi.org/10.3329/jdmc.v24i1.29559.

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Objective: The aim of the present study was to compare the efficacy of modified Bangla version of mini mental state examination (MMSE-B) with mini mental state examination (MMSE) for using among Bangladeshi healthy elderly.Methods: This is a descriptive type of observational study carried out in Department of Neurology, Dhaka Medical College Hospital, Dhaka, from January to December of 2013. A total of 200 healthy elderly (patient attendants at the clinic) who met the inclusion criteria, were interviewed using a structured questionnaire containing information on age, sex, residence, educational backgrounds and questions set at MMSE English version (MMSE-E) and modified Bangla version for MMSE-B (Figure-1). MMSE and MMSE-B both were applied in 1:1 ration. The literate people were asked whether they are comfortable to answer in English (MMSE-E) or they would like the translated form and we applied the form of MMSE (MMSE-T) according to their wish. But in other group of people the modified Bangla version (MMSE-B) was used irrespective of level of education.Results: The mean age at presentation was 58.1±7.8 and 94% were within 50-70 years of age. Male were more common (80, 66) in both the groups and most of them belonging to rural areas. MMSE-B were mostly employed on people having only primary level of education (up to class five, n=80) or no education (n=2), whereas MMSE-E were employed up on people having a level of education higher than class five (n=96). Every question in each item of cognitive domain correlated well (correlation co-efficient range from 0.801- 0.971) except the 7th (correlation co-efficient 0.418) which had higher mean score for MMSE-B than those of MMSE-E (0.90 versus 0.54). The mean score of MMSE-B was greater than the mean score of MMSE-E for most of questions except the 1st question that is related to orientation of time. The mean of total score in MMSE-E and MMSE-B were 24.04 and 24.91 respectively with a correlation co-efficient of 0.940.Conclusion: MMSE-B is comparable to MMSE and it is even better in some segments of cognitive assessment for using among Bangladeshi people irrespective of level of education.J Dhaka Medical College, Vol. 24, No.1, April, 2015, Page 30-35
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Jones, Richard N., and Joseph J. Gallo. "Education Bias in the Mini-Mental State Examination." International Psychogeriatrics 13, no. 3 (September 2001): 299–310. http://dx.doi.org/10.1017/s1041610201007694.

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Education is correlated with cognitive status assessment. Concern for test bias has led to questions of equivalent construct validity across education groups. Following the work of previous researchers, we submitted Mini-Mental State Examination (MMSE) responses to external validation analyses. Subjects were older participants in the Epidemiologic Catchment Area study (age 50-98). Little evidence for test bias against those with low education was found. The correlation of MMSE scores and age was equivalent across high-and low-education groups (−.29 vs. −.27, p = .48), as was the correlation of MMSE scores and activities of daily living (ADL) functioning (−.23 vs. −.27, p = .42). The MMSE displayed significantly higher internal consistency reliability in the low-education group (.75 vs .72, p = .04). The MMSE did not predict functional decline over 1 year or mortality over 13 years differently by level of educational attainment. Evidence for sex bias was found. The MMSE was more highly correlated with age among women than among men (−.28 vs. −.21, p < .001). The MMSE was more highly correlated with ADL impairment among women than among men (−.30 vs. −.17, p = .01). The MMSE predicted mortality differently according to participant sex (p = 0.53). The lack of evidence for bias provides little support to proposals to adjust MMSE scores according to level of education.
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Matías-Guiu, Jordi A., Vanesa Pytel, Ana Cortés-Martínez, María Valles-Salgado, Teresa Rognoni, Teresa Moreno-Ramos, and Jorge Matías-Guiu. "Conversion between Addenbrooke's Cognitive Examination III and Mini-Mental State Examination." International Psychogeriatrics 30, no. 8 (December 10, 2017): 1227–33. http://dx.doi.org/10.1017/s104161021700268x.

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ABSTRACTBackground:We aim to provide a conversion between Addenbrooke's Cognitive Examination III (ACE-III) and Mini-Mental State Examination (MMSE) scores, to predict the MMSE result based on ACE-III, thus avoiding the need for both tests, and improving their comparability.Methods:Equipercentile equating method was used to elaborate a conversion table using a group of 400 participants comprising healthy controls and Alzheimer's disease (AD) patients. Then, reliability was assessed in a group of 100 healthy controls and patients with AD, 52 with primary progressive aphasia and 22 with behavioral variant frontotemporal dementia.Results:The conversion table between ACE-III and MMSE denoted a high reliability, with intra-class correlation coefficients of 0.940, 0.922, and 0.902 in the groups of healthy controls and AD, behavioral variant frontotemporal dementia, and primary progressive aphasia, respectively.Conclusion:Our conversion table between ACE-III and MMSE suggests that MMSE may be estimated based on the ACE-III score, which could be useful for clinical and research purposes.
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Brucki, Sonia Maria Dozzi, Letícia Lessa Mansur, Maria Teresa Carthery-Goulart, and Ricardo Nitrini. "Formal education, health literacy and Mini-Mental State Examination." Dementia & Neuropsychologia 5, no. 1 (March 2011): 26–30. http://dx.doi.org/10.1590/s1980-57642011dn05010005.

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Abstract The Mini-Mental State Examination (MMSE) is a widely used screening test for cognitive impairment, but is heavily biased by education. Educational level has frequently been ranked using years of schooling, which may not be a good indirect measure of educational level because there is great heterogeneity in standards of schooling among populations and across regions of the same country. S-TOFHLA is a measure of health literacy with some results indicating that it is a good measure for literacy level. Objective: To evaluate the correlations between years of schooling and scores on the S-TOFHLA and the MMSE. Methods: Healthy subjects without cognitive impairment were submitted to the S-TOFHLA and the MMSE. Correlations and regression analysis were performed to determine possible associations among variables. Results: Both years of schooling and S-TOFHLA scores were strongly correlated with MMSE scores, but the strongest association was reached by the S-TOFHLA (r=0.702, p<0.01), where the S-TOFHLA was the best predictor of MMSE scores (R2=0.494, p<0.001). Conclusions: A stronger association between S-TOFHLA scores and MMSE performance was found than between years of education and MMSE scores. This finding justifies further studies incorporating years of schooling together with S-TOFHLA score, to evaluate cognitive performance.
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Van Patten, Ryan, Karysa Britton, and Geoffrey Tremont. "Comparing the Mini-Mental State Examination and the modified Mini-Mental State Examination in the detection of mild cognitive impairment in older adults." International Psychogeriatrics 31, no. 5 (July 19, 2018): 693–701. http://dx.doi.org/10.1017/s1041610218001023.

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ABSTRACTObjectives:To show enhanced psychometric properties and clinical utility of the modified Mini-Mental State Examination (3MS) compared to the Mini-Mental State Examination (MMSE) in mild cognitive impairment (MCI).Design:Psychometric and clinical comparison of the 3MS and MMSE.Setting:Neuropsychological clinic in the northeastern USA.Participants:Older adults referred for cognitive concerns, 87 of whom were cognitively intact (CI) and 206 of whom were diagnosed with MCI.Measurements:The MMSE, the 3MS, and comprehensive neuropsychological evaluations.Results:Both instruments were significant predictors of diagnostic outcome (CI or MCI), with comparable odds ratios, but the 3MS explained more variance and showed improved classification accuracies relative to the MMSE. The 3MS also demonstrated greater receiver operating characteristic area under the curve values (0.85, SE = 0.02) compared to the MMSE (0.74, SE = 0.03). Scoring lower than 95/100 on the 3MS suggested MCI, while scoring lower than 28/30 on the MMSE suggested MCI. Additionally, compared to the MMSE, the 3MS shared more variance with neuropsychological composite scores in Language and Memory domains but not in Attention, Visuospatial, and Executive domains. Finally, 65.5% MCI patients were classified as impaired (scoring ≤1 SD below the mean) using 3MS normative data, compared to only 11.7% of patients who were classified as impaired using MMSE normative data.Conclusions:Broadly speaking, our data strongly favor the widespread substitution of the MMSE with the 3MS in older adults with concerns for cognitive decline.
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Molloy, D. William, and Timothy I. M. Standish. "A Guide to the Standardized Mini-Mental State Examination." International Psychogeriatrics 9, S1 (December 1997): 87–94. http://dx.doi.org/10.1017/s1041610297004754.

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The Mini-Mental State Examination (MMSE) is a widely used screening test for cognitive impairment in older adults. Because the guidelines for its application are brief, the administration and scoring of the test can vary between different individuals. This can diminish its reliability. Furthermore, some of the items must be changed to accommodate different settings, such as the clinic, home, or hospital. Because there are no time limits, it is not clear how long one should wait for a reply to a question. It is also not clear how one deals with answers that are “near misses.” The goal of the Standardized Mini-Mental State Examination (SMMSE) was to impose strict guidelines for administration and scoring to improve the reliability of the instrument. The reliability of the MMSE was compared with the reliability of the SMMSE in 48 older adults who had the tests administered by university students on three different occasions to assess the interrater and intrarater reliability of the tests. The SMMSE had significantly better interrater and intrarater reliability compared with the MMSE: The interrater variance was reduced by 76% and the intrarater variance was reduced by 86%. It took less time to administer the SMMSE compared with the MMSE (average 10.5 minutes and 13.4 minutes, respectively). The intraclass correlation for the MMSE was .69, and .9 for the SMMSE. Administering and scoring the SMMSE on a task-by-task basis are discussed.
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9

Vyas, Akhilesh, Fotis Aisopos, Maria-Esther Vidal, Peter Garrard, and George Paliouras. "Calibrating Mini-Mental State Examination Scores to Predict Misdiagnosed Dementia Patients." Applied Sciences 11, no. 17 (August 30, 2021): 8055. http://dx.doi.org/10.3390/app11178055.

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Mini-Mental State Examination (MMSE) is used as a diagnostic test for dementia to screen a patient’s cognitive assessment and disease severity. However, these examinations are often inaccurate and unreliable either due to human error or due to patients’ physical disability to correctly interpret the questions as well as motor deficit. Erroneous data may lead to a wrong assessment of a specific patient. Therefore, other clinical factors (e.g., gender and comorbidities) existing in electronic health records, can also play a significant role, while reporting her examination results. This work considers various clinical attributes of dementia patients to accurately determine their cognitive status in terms of the Mini-Mental State Examination (MMSE) Score. We employ machine learning models to calibrate MMSE score and classify the correctness of diagnosis among patients, in order to assist clinicians in a better understanding of the progression of cognitive impairment and subsequent treatment. For this purpose, we utilize a curated real-world ageing study data. A random forest prediction model is employed to estimate the Mini-Mental State Examination score, related to the diagnostic classification of patients.This model uses various clinical attributes to provide accurate MMSE predictions, succeeding in correcting an important percentage of cases that contain previously identified miscalculated scores in our dataset. Furthermore, we provide an effective classification mechanism for automatically identifying patient episodes with inaccurate MMSE values with high confidence. These tools can be combined to assist clinicians in automatically finding episodes within patient medical records where the MMSE score is probably miscalculated and estimating what the correct value should be. This provides valuable support in the decision making process for diagnosing potential dementia patients.
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10

Lacritz, L. H., and J. Hom. "The validity of mini-mental state examination (MMSE) factors." Archives of Clinical Neuropsychology 11, no. 5 (January 1, 1996): 413. http://dx.doi.org/10.1093/arclin/11.5.413.

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11

Lacritz, L. "The validity of mini-mental state examination (MMSE) factors." Archives of Clinical Neuropsychology 11, no. 5 (1996): 413. http://dx.doi.org/10.1016/0887-6177(96)83932-1.

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12

Imam, I., and A. Ogunniyi. "The value of the Mini Mental State examination in Nigerian epileptics." Tropical Doctor 35, no. 2 (April 1, 2005): 108. http://dx.doi.org/10.1258/0049475054037057.

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This study assessed the role of the Mini Mental State examination (MMSE) in detecting cognitive impairment in Nigerian epileptics. The performance of 65 epileptics on the MMSE was compared with that in 65 age- and education-matched controls. There were significantly more epileptics than controls with cognitive dysfunction and the epileptics also had significantly worse scores on the MMSE. The tests of attention, three-item recall and reading were the aspects of the MMSE that were most impaired in the epileptics.
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13

Gaeta, Laura, Jo Azzarello, Jonathan Baldwin, Carrie A. Ciro, Mary A. Hudson, Carole E. Johnson, and Andrew B. John. "Effect of Reduced Audibility on Mini-Mental State Examination Scores." Journal of the American Academy of Audiology 30, no. 10 (November 2019): 845–55. http://dx.doi.org/10.3766/jaaa.17139.

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AbstractThe interaction of audition and cognition has been of interest to researchers and clinicians, especially as the prevalence of hearing loss and cognitive decline increases with advancing age. Cognitive screening tests are commonly used to assess cognitive status in individuals reporting changes in memory or function or to monitor cognitive status over time. These assessments are administered verbally, so performance may be adversely affected by hearing loss. Previous research on the impact of reduced audibility on cognitive screening test scores has been limited to older adults with sensorineural hearing loss (SNHL) or young adults with normal hearing and simulated audibility loss. No comparisons have been conducted to determine whether age-related SNHL and its impact on cognitive screening tests is successfully modeled by audibility reduction.The purpose of this study was to examine the effects of reduced audibility on the Mini-Mental State Examination (MMSE), a common bedside cognitive screening instrument, by comparing performance of cognitively normal older adults with SNHL and young adults with normal hearing.A 1:1 gender-matched case–control design was used for this study.Thirty older adults (60–80 years old) with mild to moderately severe SNHL (cases) and 30 young adults (18–35 years old) with normal hearing (controls) served as participants for this study. Participants in both groups were selected for inclusion if their cognitive status was within normal limits on the Montreal Cognitive Assessment.Case participants were administered a recorded version of the MMSE in background noise at a signal-to-noise ratio of +25-dB SNR. Control participants were administered a digitally filtered version of the MMSE that reflected the loss of audibility (i.e., threshold elevation) of the matched case participant at a signal-to-noise ratio of +25-dB SNR. Performance on the MMSE was scored using standard criteria.Between-group analyses revealed no significant difference in the MMSE score. However, within-group analyses showed that education was a significant effect modifier for the case participants.Reduced audibility has a negative effect on MMSE score in cognitively intact participants, which contributes to and confirms the findings of earlier studies. The findings suggest that observed reductions in score on the MMSE were primarily due to loss of audibility of the test item. The negative effects of audibility loss may be greater in individuals who have lower levels of educational attainment. Higher levels of educational attainment may offset decreased performance on the MMSE because of reduced audibility. Failure to consider audibility and optimize communication when administering these assessments can lead to invalid results (e.g., false positives or missed information), misdiagnosis, and inappropriate recommendations for medication or intervention.
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Diniz, Breno S. O., Monica S. Yassuda, Paula V. Nunes, Marcia Radanovic, and Orestes V. Forlenza. "Mini-mental State Examination performance in mild cognitive impairment subtypes." International Psychogeriatrics 19, no. 4 (May 14, 2007): 647–56. http://dx.doi.org/10.1017/s104161020700542x.

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Background: Diagnosis of mild cognitive impairment (MCI) and its subtypes requires a detailed diagnostic assessment and so may be missed at routine primary-care appointments, since the ordinary dementia screening tests lack sensitivity owing to ceiling effects, especially in highly educated subjects.Methods: The study was undertaken using a cross-sectional assessment of 112 elderly subjects (mean age 67.96 ± 5.77 years, and mean education level of 12.8 ± 5.7 years) with a semi-structured interview and a neuropsychological battery.Results: MCI patients did not differ from controls on total MMSE scores (p = 0.212). Nevertheless, MCI patients showed worse performance than controls on the verbal memory task (p = 0.012), and “drawing a pentagon” (p = 0.03). Amnestic MCI patients performed worse only on the “three-word recall” task (p = 0.013); non-amnestic MCI patients performed worse on the “three-stage command” task (p = 0.001); and multiple-domain MCI patients performed worse on the “drawing a pentagon” task (p = 0.001) and had a trend toward performing poorly on the ‘three word recall’ task (p = 0.06).Conclusion: The analysis of MMSE subtest scores, in addition to MMSE total scores, may increase the sensitivity of the MMSE test in screening for MCI and its subtypes.
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JONES, RICHARD N., and JOSEPH J. GALLO. "Dimensions of the Mini-Mental State Examination among community dwelling older adults." Psychological Medicine 30, no. 3 (May 2000): 605–18. http://dx.doi.org/10.1017/s0033291799001853.

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Background. Little work has been published on the internal structure of the Mini-Mental State Examination (MMSE), one of the most widely used instruments for grading cognitive status in clinical settings and field research.Methods. MMSE responses from a sample of older adults (50–98 years) in five US sites (N = 8556) were analysed.Results. A five-factor solution was found to be most appropriate. The first factor (concentration) had large loadings with serial sevens and spell world backwards items. The second factor (language and praxis) had large loadings with naming, follow command and praxis items. The third factor (orientation) had loadings with orientation to time and place items. The fourth factor (memory) had large loadings with delayed recall items and the fifth (attention) had large loadings with immediate registration items.Conclusions. We found that the MMSE is essentially unidimensional; nevertheless, evidence was revealed suggesting that the MMSE is a multidimensional assessment instrument. Dimensions revealed in this sample correspond directly to MMSE sections articulated by the developers of the instrument. These findings have not been reported in previous factor analyses of the MMSE. The findings support the construct validity of the MMSE as a measure of cognitive mental state among community dwelling older adults.
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Brijnath, Bianca. "Screening for dementia: Fluidity and the Mini Mental State Examination in India." Transcultural Psychiatry 48, no. 5 (October 22, 2011): 604–23. http://dx.doi.org/10.1177/1363461511413005.

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The Mini Mental State Examination (MMSE) is a popular screening instrument for dementia. Drawing on ethnographic data from India, three vignettes are presented to examine how the MMSE is operationalised by interviewers and respondents. Using the concept of ‘fluidity’ from Science and Technology Studies, it will be demonstrated that the MMSE is fluid and changes according to individual norms, institutional resources, and cultural settings. In some environments, the scores are discounted in order to count; in others, the scale is perceived as an invitation to talk; and finally, the MMSE can also operate as an entry-point to seek treatment for other psychological concerns.
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Teresi, Jeanne A. "Mini-Mental State Examination (MMSE): Scaling the MMSE using item response theory (IRT)." Journal of Clinical Epidemiology 60, no. 3 (March 2007): 256–59. http://dx.doi.org/10.1016/j.jclinepi.2006.06.009.

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18

Lacritz, L. H., and J. Hom. "Mini-mental state examination (MMSE) severity ratings and neuropsychological functioning." Archives of Clinical Neuropsychology 11, no. 5 (January 1, 1996): 414. http://dx.doi.org/10.1093/arclin/11.5.414.

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19

Bieliauskas, Linas A., Colin Depp, Mary L. Kauszler, Brett A. Steinberg, and Maureen Lacy. "IQ and Scores on the Mini-Mental State Examination (MMSE)." Aging, Neuropsychology, and Cognition 7, no. 4 (December 2, 2000): 227–29. http://dx.doi.org/10.1076/anec.7.4.227.799.

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20

Fountoulakis, K. N., M. Tsolaki, H. Chantzi, and A. Kazis. "Mini Mental State Examination (MMSE): A validation study in Greece." American Journal of Alzheimer's Disease and Other Dementias 15, no. 6 (November 1, 2000): 342–45. http://dx.doi.org/10.1177/153331750001500604.

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Lacritz, L. "Mini-mental state examination (MMSE) severity ratings and neuropsychological functioning." Archives of Clinical Neuropsychology 11, no. 5 (1996): 414. http://dx.doi.org/10.1016/0887-6177(96)83934-5.

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22

Dahbour, Said, Maha Hashim, Ahmad Alhyasat, Anas Salameh, Abdallah Qtaishat, Ruba Braik, and Touleen Mufeed Awni Alnimer. "Mini-mental state examination (MMSE) scores in elderly Jordanian population." Cerebral Circulation - Cognition and Behavior 2 (2021): 100016. http://dx.doi.org/10.1016/j.cccb.2021.100016.

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Yang, Hwabeen, Daehyuk Yim, and Moon Ho Park. "Converting from the Montreal Cognitive Assessment to the Mini-Mental State Examination-2." PLOS ONE 16, no. 7 (July 8, 2021): e0254055. http://dx.doi.org/10.1371/journal.pone.0254055.

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Objective The Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination-2 (MMSE-2) are useful psychometric tests for cognitive screening. Many clinicians want to predict the MMSE-2 score based on the MoCA score. To facilitate the transition from the MoCA to the MMSE-2, this study developed a conversion method. Methods This study retrospectively examined the relationship between the MoCA and MMSE-2. Overall, 303 participants were evaluated. We produced a conversion table using the equipercentile equating method with log-linear smoothing. Then, we evaluated the reliability and accuracy of this algorithm to convert the MoCA to the MMSE-2. Results MoCA scores were converted to MMSE-2 scores according to a conversion table that achieved a reliability of 0.961 (intraclass correlation). The accuracy of this algorithm was 84.5% within 3 points difference from the raw score. Conclusions This study reports a reliable and easy conversion algorithm for transforming MoCA scores into converted MMSE-2 scores. This method will greatly enhance the utility of existing cognitive data in clinical and research settings.
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Dykiert, D., G. Der, J. M. Starr, and I. J. Deary. "Why is Mini-Mental state examination performance correlated with estimated premorbid cognitive ability?" Psychological Medicine 46, no. 12 (July 5, 2016): 2647–54. http://dx.doi.org/10.1017/s0033291716001045.

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BackgroundTests requiring the pronunciation of irregular words are used to estimate premorbid cognitive ability in patients with clinical diagnoses, and prior cognitive ability in normal ageing. However, scores on these word-reading tests correlate with scores on the Mini-Mental State Examination (MMSE), a widely used screening test for possible cognitive pathology. This study aimed to test whether the word-reading tests’ correlations with MMSE scores in healthy older people are explained by childhood IQ or education.MethodWechsler Test of Adult Reading (WTAR), National Adult Reading Test (NART), MMSE scores and information about education were obtained from 1024 70-year-olds, for whom childhood intelligence test scores were available.ResultsWTAR and NART were positively correlated with the MMSE (r ≈ 0.40, p < 0.001). The shared variance of WTAR and NART with MMSE was significantly attenuated by ~70% after controlling for childhood intelligence test scores. Education explained little additional variance in the association between the reading tests and the MMSE.ConclusionsMMSE, which is often used to index cognitive impairment, is associated with prior cognitive ability. MMSE score is related to scores on WTAR and NART largely due to their shared association with prior ability. Obtained MMSE scores should be interpreted in the context of prior ability (or WTAR/NART score as its proxy).
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Mendes, Liliane Patrícia de Souza, Fernanda Ferreira Malta, Thaís de Oliveira Ennes, Giane Amorim Ribeiro-Samora, Rosângela Corrêa Dias, Bianca Louise Carmona Rocha, Marina Rodrigues, Larissa Faria Borges, and Verônica Franco Parreira. "Prediction equation for the mini-mental state examination: influence of education, age, and sex." Fisioterapia e Pesquisa 26, no. 1 (March 2019): 37–43. http://dx.doi.org/10.1590/1809-2950/17030126012019.

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ABSTRACT The mini-mental state examination (MMSE) is a screening test used worldwide for identifying changes in the scope of cognition. Studies have shown the influence of education, age and sex in the MMSE score. However, in Brazil, the studies consider only one factor to score it. The aim of this study was to establish a prediction equation for the MMSE. An exploratory cross-sectional study was developed and trained researchers examined participants at the community. The volunteers were evaluated by the MMSE and also by the Geriatric Depression Scale (GDS). The MMSE score was the dependent variable. Age, educational level, sex, and GDS score were the independent variables. Multivariate regression analysis was used to determine the model of best prediction value for MMSE scores. A total of 250 participants aged 20-99 years, without cognitive impairment, were assessed. The educational level, age, and sex explained 38% of the total variance of the MMSE score (p<0.0001) and resulted in the following equation: MMSE=23.350+0.265(years of schooling)-0.042(age)+1.323(sex), in which female=1 and male=2. The MMSE scores can be better explained and predicted when educational level, age, and sex are considered. These results enhance the knowledge regarding the variables that influence the MMSE score, as well as provide a way to consider all of them in the test score, providing a better screening of these patients.
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IWASE, HIROAKI, SHIN MURATA, YOSHIHARU HIOKI, SAYURI KITAO, JUNKO NAKAMURA, RYOYA NAKAI, TAKASHI MURAKAMI, and KATSUYUKI MADOBA. "The relationship between the TMT-A and MMSE." Japanese Journal of Health Promotion and Physical Therapy 3, no. 1 (2013): 1–4. http://dx.doi.org/10.9759/hppt.3.1.

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Ramirez, Mildred, Jeanne A. Teresi, Douglas Holmes, Barry Gurland, and Rafael Lantigua. "Differential Item Functioning (DIF) and the Mini-Mental State Examination (MMSE)." Medical Care 44, Suppl 3 (November 2006): S95—S106. http://dx.doi.org/10.1097/01.mlr.0000245181.96133.db.

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Haberstroh, Julia, Tanja Müller, Maren Knebel, Roman Kaspar, Frank Oswald, and Johannes Pantel. "Can the Mini-Mental State Examination Predict Capacity to Consent to Treatment?" GeroPsych 27, no. 4 (January 2014): 151–59. http://dx.doi.org/10.1024/1662-9647/a000113.

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This study examines the relationship between capacity to consent to treatment as measured by the MacArthur Competence Assessment Tool for Treatment (MacCAT-T) and severity of cognitive impairment as measured with the Mini-Mental State Examination (MMSE). It also looks at the role of verbal retrieval in this relationship. We hypothesized that the often-quoted correlation between the MacCAT-T and the MMSE lies mainly in the joint dependence on verbal retrieval ability. Potential subjects were recruited from memory clinics, senior citizen meeting places, and a university program for seniors. Data of 149 people over 54 years, 49 of whom had been diagnosed with Alzheimer’s disease or mixed dementia, were used. The relationship between capacity to consent to treatment, verbal retrieval, and MMSE was examined using a structural equation modeling framework. The findings suggest that verbal retrieval is a confounding method factor. In the informed consent process for people with dementia, verbal memory loads should be minimized to provide a more valid measure of their capacity to consent to treatment.
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Chiu, En-Chi, Tzu-Hua Chien, and Ya-Chen Lee. "Measurement Equivalence between the Original and Estimated Mini-Mental State Examination in People with Dementia." International Journal of Environmental Research and Public Health 18, no. 14 (July 17, 2021): 7616. http://dx.doi.org/10.3390/ijerph18147616.

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Background: The Cognitive Abilities Screening Instrument (CASI) is increasingly used to assess general cognitive function in people with dementia. The Mini-Mental State Examination (MMSE) score can be converted from the CASI (i.e., the estimated MMSE). Recognizing that measurement equivalence is critical to meaningfully representing one with the other, we aimed to determine whether the estimated MMSE score obtained from the CASI was equivalent to the original MMSE in people with dementia. Methods: We obtained 110 data points for the MMSE and CASI scores in people with dementia. The intraclass correlation coefficient (ICC), Pearson’s r, percent of standard error of measurement (SEM%), paired t-test, and effect size (Cohen’s d) were used to investigate the equivalence. Results: To examine the equivalence between the original and estimated MMSE score, the ICC and Pearson’s r of the total score and six domains were 0.62–0.95 and 0.62–0.96, respectively. The SEM% of the total score and six domains were 0.6–8.9%. The paired t-test results showed a significant difference (p < 0.05) between the total score and the three domains. The Cohen’s d of the total score and six domains were 0.06–0.27. Conclusions: The estimated MMSE score was found to have moderate to excellent equivalence to the original MMSE score. The three domains (i.e., registration, attention and calculation, and visual-constructional ability) with moderate equivalence should be used cautiously to interchange with the original MMSE in people with dementia.
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Lee, Hae Won, Paulo Caramelli, Maria Concepcion Garcia Otaduy, Ricardo Nitrini, and Claudia da Costa Leite. "Mini-Mental State Examination and proton spectroscopy of the posterior cingulate in Alzheimer disease." Dementia & Neuropsychologia 1, no. 3 (September 2007): 248–52. http://dx.doi.org/10.1590/s1980-57642008dn10300005.

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Abstract To compare metabolite ratios in the posterior cingulate with the Mini-Mental State Examination (MMSE) test scores in patients with mild or moderate Alzheimer disease and in controls. Methods: We evaluated 29 patients with mild or moderate Alzheimer disease and 15 controls by proton spectroscopy with the voxel located in the posterior cingulate. The MMSE was applied to all patients and controls. The metabolic ratios: N-acetyl-aspartate/creatine (Naa/Cr), mio-inositol/creatine (mI/Cr) and mio-inositol/N-acetyl-aspartate (mI/Naa) were obtained and then post-processed using the MRUI software (magnetic resonance user interface). Results: Correlation between Naa/Cr and mI/Naa ratios in the posterior cingulate with the MMSE was observed, and a positive correlation with Naa/Cr and negative correlation with mI/Naa were seen. The mI/r ratio presented no correlation with MMSE scores. Conclusion: The positive correlation with Naa/Cr, and negative correlation with mI/Naa may corroborate that neuronal density/viability is associated to a higher MMSE score.
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Awan, Safia, Naila Shahbaz, Syed Wasim Akhtar, Arsalan Ahmad, Sadaf Iqbal, Sellal Ahmed, Haider Naqvi, and Mohammad Wasay. "Validation Study of the Mini-Mental State Examination in Urdu Language for Pakistani Population." Open Neurology Journal 9, no. 1 (June 26, 2015): 53–58. http://dx.doi.org/10.2174/1874205x01509010053.

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Validation study of the Mini-Mental State Examination in Urdu language for Pakistani population Objective: This study was conducted primarily to validate and determine the optimal cutoff score in the diagnosis of dementia among Pakistani’s and study the effects of gender and education on the MMSE performance in our population. Methods: Four hundred participants took part in the study. Patient with dementia recruited from five major hospitals from Pakistan. The MMSE was translated into Urdu. Results: There were 61 men and 39 women in dementia group and 225 men and 75 women in the control group. The mean score of Urdu MMSE were lower in patients with dementia 18.5 ± 5.6 (range 0-30) as compared to the controls 26.8 ± 2.6 (range 7-30). This difference between groups was statistically significant (p<0.001). Educational based MMSE score below 15 yielded perfect sensitivity and specificity for the diagnosis of dementia. Conclusions: These finding confirm the influence of level of education on MMSE score and education stratified cutoff scores should be used while screening for cognitive impairment in this population.
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Krieger, Débora Mascella, Luiz Carlos Illafont Coronel, and Liliane Dias de Lima. "The relevance of Mini Mental State Examination (MMSE) use on demential interdiction exams in judicial proceedings." Jornal Brasileiro de Psiquiatria 69, no. 1 (January 2020): 73–77. http://dx.doi.org/10.1590/0047-2085000000259.

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ABSTRACT Objective To highlight the important role of Mini Mental State Examination (MMSE) use on judicial interdiction assessments. Methods On this paper, we present a case in which we have used the Mini mental state examination (MMSE) for screening an initial dementia diagnosis, suggested by clinical and mental state examination. Results The relevance of using a screening test for demencial states on judicial interdictions assessments, as MMSE, in order to provide more objective findings to the court, has been demonstrated. Also, we review the current evidence for using MMSE on this setting and the importance of its use on demential interdiction exams in judicial proceedings. Conclusions Judicial evidence is a critical element in decision making. Judicial interdiction assessment is usually performed by expert psychiatrists. As psychiatric diagnosis relies on clinical history and mental state examination, it is composed of subjective elements, varying also according to the examiner’s personal technical orientation and impressions. Neuroimaging exams are helpful on a minority of cases, in which specific findings are present. In such cases, clinical screening questionnaires play an important role - providing objective elements of neuropsychic functioning of an individual, thus limiting the subjective realm of the expert forensic report.
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Brito-Marques, Paulo Roberto de, and José Eulálio Cabral-Filho. "The role of education in mini-mental state examination: a study in Northeast Brazil." Arquivos de Neuro-Psiquiatria 62, no. 2a (June 2004): 206–11. http://dx.doi.org/10.1590/s0004-282x2004000200003.

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BACKGROUND: There is evidence that schooling can influence performance in cognitive assessement tests. In developing countries, formal education is limited for most people. The use of tests such as Mini-Mental State Examination (MMSE), could have an adverse effect on the evaluation of illiterate and low education individuals. OBJECTIVE: To propose a new version of MMSE as a screening test to assess Illiterate and low education people. METHOD: A study was carried out enrolling 232 individuals, aged 60 or more of low and middle socio-economic classes. Three groups were studied: Illiterate;1-4 schooling years; 5-8 schooling years. The new version (MMSEmo) consisted of modifications in copy and calculation items of the adapted MMSE (MMSEad) to Portuguese language. The maximum possible score was the same in the two versions: total, 30; copy, 1 and calculation, 5. RESULTS: In the total test score ANOVA detected main effects for education and test, as well as an interaction between these factors: higher schooling individuals performed better than lower schooling ones in both test versions; scores in MMSE-mo were higher than in MMSE-ad in every schooling group. CONCLUSION: Higher schooling levels improve the perfomance in both test versions, the copy and calculation items contributing to this improvement. This might depend on cultural factors. The use of MMSE-mo in illiterate and low school individuals could prevent false positive and false negative cognitive evaluations.
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Tong, Tiffany, Jacqueline Urakami, Mark Chignell, Mary C. Tierney, and Jacques S. Lee. "Tracking Cognitive Decline with a Serious Game: Benchmarking Against the Mini-Mental State Examination." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (December 2020): 6–10. http://dx.doi.org/10.1177/1071181320641002.

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We are developing whack-a-mole games for cognitive assessment. In prior research, we have shown that variants of the game assess cognitive speed and executive functioning (response inhibition), and can be used to screen for delirium in emergency departments. We have also found that whack-a-mole game performance is significantly correlated with overall Mini-Mental State Examination (MMSE) scores. In this paper, we report the results of a study that assessed the relationship of our serious game for cognitive assessment with specific components of the MMSE. We found that game performance is correlated most strongly with the orientation to time items component of MMSE and that the combination of three elements of the MMSE (attention and calculation; orientation to time; repetition) accounted for almost half of the variance in game performance in our sample.
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Brucki, Sonia Maria Dozzi, and Ricardo Nitrini. "Mini- Mental State Examination among lower educationl levels and illiterates: transcultural evaluation." Dementia & Neuropsychologia 4, no. 2 (June 2010): 120–25. http://dx.doi.org/10.1590/s1980-57642010dn40200008.

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Abstract Cognitive performance among illiterates and low educational levels is poorer than that observed in individuals with greater schooling. This difference can be a confounding factor in reaching an accurate diagnosis of cognitive impairment. In addition, there is great heterogeneity in performance among illiterates, probably due to different environmental demands and sociocultural backgrounds. Many reports have described the influence of education on neuropsychological measures and screening tests such as the Mini-Mental State Examination (MMSE). Objectives: To analyze performance in two samples with the same educational level, but different social and cultural backgrounds. Methods: Subjects from two different locations in Brazil (rural sample from Northern region and urban sample residing in the largest city of the Southeastern region) were matched for age and education, and submitted to the MMSE. Results: Significant differences between the groups were found in total scores on the MMSE and in temporal orientation and serial-sevens sub-items for which the urban sample performed best but analysis of illiterates alone yielded the same results, except for the copying pentagons task which was performed better by the rural sample. Conclusions: Cultural and social backgrounds, as well as demands from the environment, influence results of screening tests. Factors other than education must be taken into account when analyzing tests.
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Magni, Eugenio, Giuliano Binetti, Alessandro Padovani, Stefano F. Cappa, Angelo Bianchetti, and Marco Trabucchi. "The Mini-Mental State Examination in Alzheimer's Disease and Multi-Infarct Dementia." International Psychogeriatrics 8, no. 1 (March 1996): 127–34. http://dx.doi.org/10.1017/s1041610296002529.

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The aim of this study was to compare the performances on each item of the Mini-Mental State Examination (MMSE) of patients with Alzheimer's disease (AD) and multi-infarct dementia (MID). In order to identify the items that could better distinguish the two groups of patients, 70 AD and 31 MID patients matched for disease severity, age, and education were evaluated. The scores of the 101 patients on each of the MMSE items were entered into a principal component factor analysis using varimax rotation, and two main components were derived. Component 1 was probably representative of recently acquired information, whereas component 2 represented educational level. A score summing the items that loaded on component 1 and the recall item was calculated to generate a measure of episodic memory. Performing analysis of variance and covarying for age and education revealed that this score was statistically different in the two groups, with AD patients having lower values. The data suggest that the MMSE may demonstrate a pattern of impairment of memory that differs between AD and MID. Possible explanations of this finding should take into account the different neuroanatomical impairments and the different degrees of motivation, due to depression or attentional deficits, toward external stimuli.
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Scarabelot, Luis Felipe, Mariane de Moraes Monteiro, Mauren Carneiro da Silva Rubert, and Viviane de Hiroki Flumignan Zetola. "Is the Mini-Mental State Examination the best cognitive screening test for less educated people?" Arquivos de Neuro-Psiquiatria 77, no. 5 (May 2019): 330–34. http://dx.doi.org/10.1590/0004-282x20190043.

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ABSTRACT Mini-Mental State Examination (MMSE) results are strongly influenced by educational level. The Brief Cognitive Screening Battery (BCSB) is an alternative assessment tool that provides more accurate results in individuals with less education. Objective: Our aim was to compare the MMSE and BCSB as screening tests. Methods: The MMSE and BCSB were assessed in 112 participants by two evaluators blind to the other test's result. Participants were classified according to their level of education. The influence of education level was analyzed using the Kruskal-Wallis and multiple comparison tests. Results: Scores of the MMSE (p < 0.0001) and the clock-drawing test (p < 0.0001) were influenced by education level but the delayed recall test score was not (p = 0.0804). The verbal fluency test (p = 0.00035) was influenced only by higher educational levels. It took three minutes less to apply the MMSE than to apply the BCSB (p < 0.0001). Conclusions: These findings suggest that the delayed recall test and the verbal fluency test of the BCSB are better than the MMSE and clock-drawing test as tools for evaluating cognition in people with limited education.
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Tinklenberg, Jared, John O. Brooks, Elizabeth Decker Tanke, Kausar Khalid, Sarah L. Poulsen, Helena Chmura Kraemer, Dolores Gallagher, Joe E. Thornton, and Jerome A. Yesavage. "Factor Analysis and Preliminary Validation of the Mini-Mental State Examination from a Longitudinal Perspective." International Psychogeriatrics 2, no. 2 (September 1990): 123–34. http://dx.doi.org/10.1017/s1041610290000382.

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The Mini-Mental State Examination (MMSE) is a commonly used instrument for assessing mental impairment. Previous proposals for its underlying structure have focused on scores obtained from a single administration of the test. Because the MMSE is widely used in longitudinal studies, we examined the pattern of relations among the rates of chance of the items. Data were obtained from 63 subjects for 1.5 years or more. The relations among the rates of change of the MMSE items were described by a five-factor solution that accounted for 75% of the variance and comprised factors pertaining to orientation and concentration, obeying commands, learning and repetition, language, and recall. This was in contrast to the structure of the scores obtained from a single administration of the MMSE, which was best described by a two-factor solution. In order to provide a clinical validation, factor scores derived from the MMSE factors were used to predict scores on the Memory and Behavior Problems Checklist and the Brief Cognitive Rating Scale.
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Wajman, José Roberto, Fabricio Ferreira de Oliveira, Rodrigo Rizek Schultz, Sheilla de Medeiros Correia Marin, and Paulo Henrique Ferreira Bertolucci. "Educational bias in the assessment of severe dementia: Brazilian cutoffs for severe Mini-Mental State Examination." Arquivos de Neuro-Psiquiatria 72, no. 4 (April 2014): 273–77. http://dx.doi.org/10.1590/0004-282x20140002.

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Cognitive assessment in advanced stages of Alzheimer’s disease (AD) is limited by the imprecision of most instruments. Objective: To determine objective cognitive responses in moderate and severe AD patients by way of the Severe Mini-Mental State Examination (SMMSE), and to correlate performances with Mini-Mental State Examination (MMSE) scores. Method: Consecutive outpatients in moderate and severe stages of AD (Clinical Dementia Rating 2.0 or 3.0) were evaluated and compared according to MMSE and SMMSE scores. Results: Overall 400 patients were included, 67.5% females, mean age 76.6±6.7 years-old. There was no significant impact of age or gender over MMSE or SMMSE scores. Mean schooling was 4.4±2.5 years, impacting SMMSE scores (p=0.008). Scores on MMSE and SMMSE were significantly correlated (F-ratio=690.6325, p<0.0001). Conclusion: The SMMSE is influenced by schooling, but not by age or gender, and is an accurate test for assessment of moderate and severe AD.
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Roman, Aaron M., Heidi E. Liebenberg, and Alexis N. Harkins. "The Impact of Audibility and Voice on Young Adult Performance on the Mini-Mental State Examination." Perspectives of the ASHA Special Interest Groups 5, no. 4 (August 17, 2020): 951–58. http://dx.doi.org/10.1044/2020_persp-19-00181.

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Purpose The purpose of this study was to assess the impact of reduced audibility (RA) and speaker voice on performance on the Mini-Mental State Examination (MMSE) in individuals with normal hearing. Method Participants with normal hearing ( n = 31) were randomly assigned to complete the MMSE with normal audibility or with RA. Instructions for the MMSE were recorded by both a male and female speaker and normalized via Audacity software. Voice of speaker was randomized for each participant. Scores on the MMSE were measured for each condition and compared using an analysis of variance between the two groups. Results This study found that the RA group performed significantly worse on the MMSE compared to those with no reduction in audibility. There was no difference in performance in either group when accounting for instructor's voice. Audiometric results, such as pure-tone averages and Quick Speech in Noise scores, significantly correlated with MMSE performance. Conclusion Individuals with RA performed significantly worse on the MMSE than those with normal audibility, regardless of the voice of instruction. These findings suggest that health care providers, regardless of vocal characteristics, should be cognizant of potential hearing loss prior to assessing patients for cognitive impairment.
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Milian, Monika, Anna-Maria Leiherr, Guido Straten, Stephan Müller, Thomas Leyhe, and Gerhard W. Eschweiler. "The Mini-Cog versus the Mini-Mental State Examination and the Clock Drawing Test in daily clinical practice: screening value in a German Memory Clinic." International Psychogeriatrics 24, no. 5 (December 15, 2011): 766–74. http://dx.doi.org/10.1017/s1041610211002286.

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ABSTRACTBackground: The aim of this study was to compare the screening value of the Mini-Cog, Clock Drawing Test (CDT), Mini-Mental State Examination (MMSE) and the algorithm MMSE and/or CDT to separate elderly people with dementia from healthy depending on test time, type and severity of dementia, and demographic variables in a German Memory Clinic.Methods: Data from a heterogeneous patient sample and healthy participants (n = 502) were retrospectively analyzed. Of the 438 patients with dementia, 49.1% of the dementia diagnoses were Alzheimer's dementia and 50.9% were non-Alzheimer's dementia. Sixty-four participants were classified as cognitively unimpaired. The CDT and an extraction of the 3-item recall of the MMSE were used to constitute the Mini-Cog algorithm.Results: Overall, the Mini-Cog showed significantly higher discriminatory power (86.8%) than the MMSE (72.6% at a cut-off ≤ 24 and 79.2% at ≤ 25, respectively) and CDT (78.1%) (each p < 0.01) and did not perform worse than the algorithm MMSE and/or CDT (each p > 0.05). The specificity of the Mini-Cog (100.0%) was similar to that of the MMSE (100.0% for both cut-offs) and CDT (96.9%) (p = 0.154). For all age and educational groups the Mini-Cog outmatched the CDT and MMSE, and was less affected by education than MMSE and less susceptible for the dementia stage than the CDT.Conclusion: The Mini-Cog proved to have superior discriminatory power than either CDT or MMSE and is demonstrated to be a valid “short” screening instrument taking 3 to 4 minutes to administer in the geriatric setting.
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Izaks, G. J., J. Gussekloo, K. M. T. Dermout, T. J. Heeren, and G. J. Ligthart. "Three-year follow-up of Mini-Mental State Examination score in community residents aged 85 and over." Psychological Medicine 25, no. 4 (July 1995): 841–48. http://dx.doi.org/10.1017/s0033291700035091.

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SYNOPSISThe objective of this study was to describe over time the course of cognitive function of elderly without cognitive impairment and of elderly with different stages of impairment, and to assess if the change in cognitive function was dependent on the initial level of function. The Mini-Mental State Examination (MMSE) was used at two time points. The first assessment (MMSE-1) was part of a community-based study and was obtained from 871 subjects. For the second assessment (MMSE-2) a sample of 166 subjects was drawn from the subjects alive at follow-up who had an MMSE-1 score. This sample was stratified by MMSE-1 score to avoid oversampling of subjects with high MMSE-1 scores. A second MMSE score was obtained from 134 elderly, whereas 18 subjects refused participation and 14 subjects were not traceable. The median age at first assessment was 89 years (25th percentile 87, 75th percentile 92), the mean follow-up period (S.D.) was 3·3 (0·5) years. The median change in MMSE score was minus 4 points (95% confidence interval (CI) − 7 to − 2) and the slope of the regression line of MMSE-2 on MMSE-1 was 1·1 (95% CI 0·9–1·3). It is likely that the slope was underestimated due to a floor effect, regression to the mean and missing observations. However, the probability of decline decreased if MMSE-1 was higher. Nevertheless, the probability ranged from 27 to 59% for subjects with the highest MMSE-1 scores aged 85 and 95 years respectively. The latter is an argument in favour of a periodical examination of all subjects aged 85 and over to reveal causes of cognitive decline that can be treated or are amenable to prevention.
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J. Larner, Andrew. "Mini-Mental Parkinson (MMP) as a Dementia Screening Test: Comparison with the Mini-Mental State Examination (MMSE)." Current Aging Sciencee 5, no. 2 (May 1, 2012): 136–39. http://dx.doi.org/10.2174/1874609811205020136.

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Tombaugh, T. N., I. McDowell, B. Kristjansson, and A. M. Hubley. "Mini-Mental State Examination (MMSE) and the Modified MMSE (3MS): A psychometric comparison and normative data." Psychological Assessment 8, no. 1 (1996): 48–59. http://dx.doi.org/10.1037/1040-3590.8.1.48.

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45

Handayani, Fitriah. "HUBUNGAN DURASI TIDUR DENGAN FUNGSI KOGNITIF GERIATRI." Healthy Tadulako Journal (Jurnal Kesehatan Tadulako) 5, no. 3 (October 30, 2019): 75. http://dx.doi.org/10.22487/j25020749.2019.v5.i3.14060.

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Penurunan fungsi kognitif berkaitan dengan usia tua merupakan fenomena yang tidak terhindarkan. Penurunan fungsi ini salah satunya disebabkan perubahan struktur otak yang mengalami atrofi. Pola tidur juga diketahui mengalami perubahan seiring dengan proses penuaan. Penelitian ini bertujuan untuk menganalisis hubungan durasi tidur dengan fungsi kognitif geriatri berdasarkan skor Mini-Mental State Examination (MMSE) versi Indonesia dan The Montreal Cognitive Assessment versi Indonesia (MoCA-Ina). durasi tidur dengan fungsi kognitif geriatri berdasarkan skor Mini-Mental State Examination (MMSE) versi Indonesia dan The Montreal Cognitive Assessment versi Indonesia (MoCA-Ina). Durasi tidur diukur menggunakan instrumen Sleep Diary Test. Desain penelitian ini adalah analitik observasional dengan jumlah sampel 55 orang. Hasil penelitian meninjukkan hubungan yang secara signifikan bermakna antara durasi tidur dengan skor MMSE (p=0.003) vs skor MoCA-Ina (p=0.002) dengan menggunakan uji oneway ANOVA.
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Zemke, Jens. "Geriatrisches Assessment Mini-Mental-Status-Test (MMST)." GGP - Fachzeitschrift für Geriatrische und Gerontologische Pflege 02, no. 02 (April 2018): 75–77. http://dx.doi.org/10.1055/a-0566-5612.

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Zusammenfassung Standardassessment Bei älteren Patienten sind Alltagskompetenz und Selbsthilfefähigkeit in besonderem Maße durch eine Verminderung kognitiver Fähigkeiten bedroht. Zur Verhinderung von Abhängigkeit und Pflegebedürftigkeit ist die Abklärung der kognitiven Leistungsfähigkeit von essenzieller Bedeutung. Im Rahmen einer geriatrischen Komplexbehandlung gehört der MMST (oder Mini Mental State Examination, MMSE) nach Folstein mittlerweile zu den Standardassessments. Der MMST ist das am häufigsten angewandte Screeningverfahren für kognitive Defizite.
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Jorm, A. F., R. Scott, A. S. Henderson, and D. W. K. Kay. "Educational level differences on the Mini-Mental State: the role of test bias." Psychological Medicine 18, no. 3 (August 1988): 727–31. http://dx.doi.org/10.1017/s0033291700008424.

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SynopsisLess educated elderly people are commonly found to perform more poorly on the Mini-Mental State Examination (MMSE). This educational level difference has been attributed by some research workers to test bias. To assess whether the MMSE is biased against the poorly educated, its validity was assessed separately in the more- and less-educated members of a community sample. No evidence was found to indicate that the test is a biased measure of cognitive impairment.
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Gross, Alden L., Alexandra M. Kueider-Paisley, Campbell Sullivan, and David Schretlen. "Comparison of Approaches for Equating Different Versions of the Mini-Mental State Examination Administered in 22 Studies." American Journal of Epidemiology 188, no. 12 (October 10, 2019): 2202–12. http://dx.doi.org/10.1093/aje/kwz228.

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Abstract The Mini-Mental State Examination (MMSE) is one of the most widely used cognitive screening tests in the world. However, its administration and content differs by country and region, precluding direct comparison of scores across different versions. Our objective was to compare 2 methods of deriving comparable scores across versions of the MMSE. Between 1981 and 2012, investigators in the International Neuropsychological Normative Database Initiative collected MMSE scores on 122,512 persons from 47 studies conducted in 35 countries. We used MMSE data from 80,559 adults aged 41–99 years from 22 studies that provided item-level response data. We first equated 14-point, 15-point, 18-point, 19-point, and 23-point versions of the MMSE to the original 30-point version using coarse equipercentile equating methods that preserved differences across continents, age groups, and durations (years) of education. We then derived more precise item response theory–based scores using item-level responses to MMSE component items. We compared the 2 score-equating approaches using correlation and Bland-Altman plots. Both test-equating approaches were highly correlated with each other (r = 0.73) and with raw MMSE point totals. Bland-Altman plots revealed minimal evidence of systematic differences between the approaches. Our findings support the use of equipercentile equating when item-level data are unavailable to facilitate development of international test norms.
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Milian, Monika, Anna-Maria Leiherr, Guido Straten, Stephan Müller, Thomas Leyhe, and Gerhard W. Eschweiler. "The Mini-Cog, Clock Drawing Test, and the Mini-Mental State Examination in a German Memory Clinic: specificity of separation dementia from depression." International Psychogeriatrics 25, no. 1 (August 20, 2012): 96–104. http://dx.doi.org/10.1017/s104161021200141x.

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ABSTRACTBackground: The aim of this study was to assess the specificities of the Mini-Cog, the Clock Drawing Test (CDT), and the Mini-Mental State Examination (MMSE) against depression and healthy controls in a German Memory Clinic. Furthermore, we analyzed the specificities of all three screening instruments in dependence of actual depression severity.Methods: Data from 142 depressed elderly, 438 dementia patients, and 64 healthy controls were retrospectively analyzed. The CDT and an extraction of the three-item recall of the MMSE were used to constitute the Mini-Cog algorithm. Depression severity was rated by either the Beck Depression Inventory (BDI) or the Geriatric Depression Scale (GDS) depending on the age of the patients.Results: The Mini-Cog achieved a specificity of 79.6% against depressed elderly and 100.0% against healthy subjects (p < 0.001). Similarly, the specificities of the CDT (83.8%) and MMSE (92.3% at a cut-off ≤24 and 90.8% at ≤25, respectively) against healthy subjects were significantly higher than the specificities against depressed patients (each p < 0.05). Concerning the depressed patients, the MMSE demonstrated significant higher specificity than the Mini-Cog and the CDT, but also showed the lowest sensitivity for the detection of dementia. Surprisingly, the depression severity had no effect on the specificity of the Mini-Cog and the CDT, only the MMSE was susceptible for the depression severity.Conclusion: Although the MMSE showed higher specificities, the weighting between the sensitivities and specificities in all tests prove again the Mini-Cog as a short, valid, and sensitive screening tool.
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Rademeyer, Mia, and Pierre Joubert. "A comparison between the Mini-Mental State Examination and the Montreal Cognitive Assessment Test in schizophrenia." South African Journal of Psychiatry 22, no. 1 (May 6, 2016): 5. http://dx.doi.org/10.4102/sajpsychiatry.v22i1.890.

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<strong>Background:</strong> Cognitive impairment is a core feature of schizophrenia that also has strong prognostic significance. In most clinical settings comprehensive neuropsychological testing to detect cognitive impairment in schizophrenia patients is not readily available, but because cognitive deficits in schizophrenia are clinically important it would be useful to detect or at least screen for them in a clinical setting. Unfortunately there are no validated, brief screening instruments for the detection of cognitive impairment in schizophrenia. Nevertheless, the Montreal Cognitive Assessment Test (MoCA) and the Mini-Mental State Examination (MMSE) show promise in this regard. The objective of this study was to compare the results of the MMSE and MoCA in a group of outpatient schizophrenia sufferers to contribute to research into the instruments’ potential usefulness as screening tools for cognitive impairment in schizophrenia. <strong></strong><p><strong>Method:</strong> The Afrikaans versions of the MMSE and MoCA were administered to Afrikaansspeaking adult outpatients. Participants had at least seven years of formal education and had been in partial or full remission for at least 3 months. The MMSE and MoCA scores for each participant were matched and compared using the non-parametric Wilcoxon matched pairs test. <strong></strong></p><p><strong>Results:</strong> The sample consisted of 30 Afrikaans-speaking outpatients with schizophrenia. The mean MMSE score was 27.17 ± 2.64, and the mean MoCA score was 22.53 ± 3.91. There was a statistically significant difference between participants’ performance on the MMSE and MoCA tests (<em>p</em> = 0.000008). <strong></strong></p><p><strong>Conclusion:</strong> Compared to the MMSE, the MoCA may be a more useful instrument to detect cognitive impairment in patients with schizophrenia. Further studies are required.</p>
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