scholarly journals Hip Accelerometry Activity Patterns Improve Machine Learning Prediction of 1-Year MoCA Score Change

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 446-446
Author(s):  
Chengjian Shi ◽  
Jacek Urbanek ◽  
Niser Babiker ◽  
Alan Gonzolez ◽  
Jovany Soto ◽  
...  
Keyword(s):  
Cognitive Assessment ◽  
Activity Patterns ◽  
Score Change ◽  
Severe Dementia ◽  
Free Living ◽  
Actigraph Accelerometer ◽  
Gender Education ◽  
Available Information ◽  
Mean Variance ◽  
Moca Score

Abstract We tested whether free-living hip accelerometry measures improved prediction of 1-year change in Montreal Cognitive Assessment (MoCA) scores beyond clinically available information. We analyzed data (n=126) from predominantly African American (78.2%) older adults without moderate-severe dementia residing near our geriatrics clinic. Age (73.6 ±6.1 years), gender, education, comorbidities, income, and MoCA performance were collected at baseline; participants then wore a right hip, triaxial Actigraph accelerometer (30Hz) continuously for 7 days. A MoCA was repeated at 1 year. Six measures were calculated from the daytime (7am-5pm) data: mean/variance of hourly counts per minute, mean/variance of daily percent of time spent in the lowest activity quartile, and mean/variance of daily percent of time spent in the highest activity quartile. In a random forest model containing baseline MoCA, demographics and comorbidities, the accelerometry measures improved prediction of 1-year MoCA performance by ~17.8%. Accelerometry data may be clinically useful for predicting early cognitive decline.

scholarly journals Educational bias in the assessment of severe dementia: Brazilian cutoffs for severe Mini-Mental State Examination

2014 ◽  
Vol 72 (4) ◽  
pp. 273-277 ◽  
Author(s):  
José Roberto Wajman ◽  
Fabricio Ferreira de Oliveira ◽  
Rodrigo Rizek Schultz ◽  
Sheilla de Medeiros Correia Marin ◽  
Paulo Henrique Ferreira Bertolucci
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Mental State ◽  
Cognitive Assessment ◽  
Mini Mental State Examination ◽  
Cognitive Responses ◽  
Clinical Dementia Rating ◽  
Severe Dementia ◽  
Advanced Stages ◽  
State Examination

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.

scholarly journals Percutaneous Mastoid Electrical Stimulator Improves Poststroke Depression and Cognitive F unction in Patients with Ischaemic Stroke: A Prospective, Randomized, Double-blind, and Sham-controlled Study

2020 ◽  
Author(s):  
Taoli Lu ◽  
Lanying He ◽  
Bei Zhang ◽  
Jian Wang ◽  
Lili Zhang ◽  
...  
Keyword(s):  
Ischaemic Stroke ◽  
Sham Group ◽  
Mean Value ◽  
Controlled Study ◽  
Poststroke Depression ◽  
Score Change ◽  
Double Blind ◽  
The Mean ◽  
Electrical Stimulator ◽  
Moca Score

Abstract Background : Poststroke depression can lead to functional dependence, cognitive impairment and reduced quality of life. The aim of this study was to evaluate the effects of a percutaneous mastoid electrical stimulator (PMES) plus antidepressants on poststroke depression and cognitive function. Methods: This study was a prospective, randomized, double-blind, and sham-controlled study . A total of 258 clinically depressed ischaemic stroke patients within 14 days of index stroke were randomly assigned to the PMES plus antidepressant (PMES group, N=125) and sham plus antidepressant (sham group, N=133) groups. All patients underwent the Montreal Cognitive Assessment (MoCA) and Hamilton Rating Scale for Depression (HRSD) test at 2 weeks (baseline), and 6 months(M6) after ischaemic stroke. Primary outcomes were the percentage of patients showing a treatment response (≥50% reduction in HRSD score) and depression remission (HRSD score≤9) at 6 months. The secondary outcome was the percentage of patients with a MoCA score <26 . Results: The percentages of patients showing a treatment response and depression remission were significantly higher in the PMES group than in the sham group (57.60% vs 41.35%, P=0.009; 44.00% vs 29.32%, P=0.014 respectively). The mean value of the HRSD score change [M(month)6-baseline] was significantly higher in the PMES group than in the sham group at 6 months (-11.93 ±5.32 vs -10.48 ± 6.10, P = 0.036, respectively). The percentage of patients with MoCA scores <26 was lower in the PEMS group than in the sham group(12.0% vs 24.06%, P=0.012,respectively), and the mean value of the MoCA score change (M6-baseline) was higher in the PMES group than in the sham group (3.50±2.55 vs 2.72±2.52, P=0.005,respectively). Conclusion: These findings demonstrate that PMES adjunctive to antidepressant therapy is effective in reducing depression, achieving remission in the short term, and improving cognition. Trial registration: This trial was retrospectively registered (registration number: ChiCTR1800016463) on 03 June 2018

scholarly journals An evaluation of the IDEEA™ activity monitor for estimating energy expenditure

2012 ◽  
Vol 109 (1) ◽  
pp. 173-183 ◽  
Author(s):  
Stephen Whybrow ◽  
Patrick Ritz ◽  
Graham W. Horgan ◽  
R. James Stubbs
Keyword(s):  
Energy Balance ◽  
Energy Expenditure ◽  
Indirect Calorimetry ◽  
Activity Patterns ◽  
Activity Monitor ◽  
Whole Body ◽  
Similar Estimate ◽  
Free Living ◽  
Doubly Labelled Water ◽  
D 12

Objective estimates of activity patterns and energy expenditure (EE) are important for the measurement of energy balance. The Intelligent Device for Energy Expenditure and Activity (IDEEA) can estimate EE from the thirty-five postures and activities it can identify and record. The present study evaluated the IDEEA system's estimation of EE using whole-body indirect calorimetry over 24 h, and in free-living subjects using doubly-labelled water (DLW) over 14 d. EE was calculated from the IDEEA data using calibration values for RMR and EE while sitting and standing, both as estimated by the IDEEA system (IDEEAest) and measured by indirect calorimetry (IDEEAmeas). Subjects were seven females and seven males, mean age 38·1 and 39·7 years, mean BMI 25·2 and 26·2 kg/m2, respectively. The IDEEAest method produced a similar estimate of EE to the calorimeter (10·8 and 10·8 MJ, NS), while the IDEEAmeas method underestimated EE (9·9 MJ, P < 0·001). After removing data from static cycling, which the IDEEA was unable to identify as an activity, both the IDEEAest and IDEEAmeas methods overestimated EE compared to the calorimeter (9·9 MJ, P < 0·001; 9·1 MJ, P < 0·05 and 8·6 MJ, respectively). Similarly, the IDEEA system overestimated EE compared to DLW over 14 d; 12·7 MJ/d (P < 0·01), 11·5 MJ/d (P < 0·01) and 9·5 MJ/d for the IDEEAest, IDEEAmeas and DLW, respectively. The IDEEA system overestimated EE both in the controlled laboratory and free-living environments. Using measured EE values for RMR, sitting and standing reduced, but did not eliminate, the error in estimated EE.

Measurement of energy expenditure

2005 ◽  
Vol 8 (7a) ◽  
pp. 1123-1132 ◽  
Author(s):  
James A Levine
Keyword(s):  
Energy Expenditure ◽  
Activity Patterns ◽  
Real Life ◽  
Open Circuit ◽  
Free Living ◽  
Doubly Labelled Water ◽  
Calorimetric Methods ◽  
Factorial Method ◽  
Total Daily Energy Expenditure ◽  
Isotope Technique

AbstractMeasurement of energy expenditure in humans is required to assess metabolic needs, fuel utilisation, and the relative thermic effect of different food, drink, drug and emotional components. Indirect and direct calorimetric and non-calorimetric methods for measuring energy expenditure are reviewed, and their relative value for measurement in the laboratory and field settings is assessed. Where high accuracy is required and sufficient resources are available, an open-circuit indirect calorimeter can be used. Open-circuit indirect calorimeters can employ a mask, hood, canopy or room/chamber for collection of expired air. For short-term measurements, mask, hood or canopy systems suffice. Chamber-based systems are more accurate for the long-term measurement of specified activity patterns but behaviour constraints mean they do not reflect real life. Where resources are limited and/or optimum precision can be sacrificed, flexible total collection systems and non-calorimetric methods are potentially useful if the limitations of these methods are appreciated. The use of the stable isotope technique, doubly labelled water, enables total daily energy expenditure to be measured accurately in free-living subjects. The factorial method for combining activity logs and data on the energy costs of activities can also provide detailed information on free-living subjects.

Seasonal and daily activity patterns of free-living Eurasian lynxLynx lynxin relation to availability of kills

2013 ◽  
Vol 19 (1) ◽  
pp. 69-77 ◽  
Author(s):  
Iris Podolski ◽  
Elisa Belotti ◽  
Luděk Bufka ◽  
Holger Reulen ◽  
Marco Heurich
Keyword(s):  
Daily Activity ◽  
Activity Patterns ◽  
Free Living ◽  
Daily Activity Patterns

Convergent Validity of 3 Low Cost Motion Sensors With the ActiGraph Accelerometer

2010 ◽  
Vol 7 (5) ◽  
pp. 662-670 ◽  
Author(s):  
James J. McClain ◽  
Teresa L. Hart ◽  
Renee S. Getz ◽  
Catrine Tudor-Locke
Keyword(s):  
Physical Activity ◽  
Convergent Validity ◽  
Lower Cost ◽  
Low Cost ◽  
Assessment Instruments ◽  
Motion Sensors ◽  
Activity Time ◽  
Free Living ◽  
Time Estimates ◽  
Actigraph Accelerometer

Background:This study evaluated the utility of several lower cost physical activity (PA) assessment instruments for detecting PA volume (steps) and intensity (time in MVPA or activity time) using convergent methods of assessment.Methods:Participants included 26 adults (9 male) age 27.3 ± 7.1 years with a BMI of 23.8 ± 2.8 kg/m2. Instruments evaluated included the Omron HJ-151 (OM), New Lifestyles NL-1000 (NL), Walk4Life W4L Pro (W4L), and ActiGraph GT1M (AG). Participants wore all instruments during a laboratory phase, consisting of 10 single minute treadmill walking bouts ranging in speed from 40 to 112 m/min, and immediate following the laboratory phase and during the remainder of their free-living day (11.3 ± 1.5 hours). Previously validated AG MVPA cutpoints were used for comparison with OM, NL, and W4L MVPA or activity time outputs during the laboratory and free-living phase.Results:OM and NL produced similar MVPA estimates during free-living to commonly used AG walking cutpoints, and W4L activity time estimates were similar to one AG lifestyle cutpoint evaluated.Conclusion:Current findings indicate that the OM, NL, and W4L, ranging in price from $15 to $49, can provide reasonable estimates of free-living MVPA or activity time in comparison with a range of AG walking and lifestyle cutpoints.

scholarly journals Montreal Cognitive Assessment in a 63- to 65-year-old Norwegian Cohort from the General Population: Data from the Akershus Cardiac Examination 1950 Study

2017 ◽  
Vol 7 (3) ◽  
pp. 318-327 ◽  
Author(s):  
Håkon Ihle-Hansen ◽  
Thea Vigen ◽  
Trygve Berge ◽  
Gunnar Einvik ◽  
Dag Aarsland ◽  
...  
Keyword(s):  
Higher Education ◽  
General Population ◽  
Cognitive Assessment ◽  
Population Data ◽  
Montreal Cognitive Assessment ◽  
Cross Sectional ◽  
Normal Cognitive Function ◽  
The Mean ◽  
The Impact ◽  
Moca Score

Aims: To investigate Montreal Cognitive Assessment (MoCA) test scores in a cohort aged 63–65 years from a general population in relation to the proposed cut-off score of 26 for mild cognitive impairment (MCI) and to explore the impact of education. Methods: MoCA scores were assessed in the Akershus Cardiac Examination 1950 Study, a cross-sectional cohort study of all men and women born in 1950 living in Akershus County, Norway. The participants were aged 63–65 at the time of data collection. Results: MoCA scores were available in 3,413 participants, of which 47% had higher education (>12 years). The mean MoCA score was 25.3 (95% confidence interval [CI] 25.2–25.4), and 49% had a score below the suggested cut-off of 26 points. Those with higher education had significantly higher scores (mean 26.2, 95% CI 26.1–26.3 vs. 24.4, 95% CI 24.3–24.6, p < 0.001). Conclusions: Approximately 50% scored below the cut-off score of 26 points, suggesting that the cut-off score may have been set too high to distinguish normal cognitive function from MCI. Educational level had a significant impact on MoCA scores.

scholarly journals Percutaneous Mastoid Electrical Stimulator improves poststroke depression and cognitive function in patients with ischemic stroke

2019 ◽  
Author(s):  
Taoli Lu ◽  
lanying he ◽  
Bei Zhang ◽  
Jian Wang ◽  
Lili Zhang ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Treatment Response ◽  
Sham Group ◽  
Rating Scale ◽  
Remission Rate ◽  
Functional Dependence ◽  
Poststroke Depression ◽  
Score Change ◽  
Electrical Stimulator ◽  
Moca Score

Abstract Backgrond Poststroke depression could lead to functional dependence, cognitive impairment and reduced quality of life. The aim of this study was to evaluate the effects of percutaneous mastoid electrical stimulator (PMES) plus antidepressant on poststroke depression and cognitive function.Methods 258 clinically depressed ischemic stroke patients within 14 d of index stroke were randomly assigned to PMES plus antidepressant (PMES group) and sham plus antidepressant (sham group). All patients underwent Montreal Cognitive Assessment (MoCA) and Hamilton Rating Scale for Depression (HRSD) test at 2 weeks (baseline), and 6 months after the stroke. The clinical outcome was defined as treatment response (≥50% reduction in HRSD) and depression remission (HRSD≤9) at 6 months.Results Compared with the sham group, PEMS group significantly improved MoCA and HRSD scoreat the end of the 6-month treatment period (P<0.001). The mean value of MoCA score change (3.50±2.55 vs 2.72±2.52; P=0.005), and HRSD score change (-11.93 ±5.32 vs -10.48 ± 6.10, P = 0.041) was significantly greater in the PMES group compared to sham group at 6 months. In fully adjusted models, PMES plus antidepressant was associated with increased treatment response rate [adjusted odds ratio (OR), 2.04; 95% confidence interval (CI), 1.15-3.63; P=0.015], and depression remission rate [adjusted OR, 1.83; 95% CI, 1.05-3.18; P=0.032]. In fully adjust models, PMES plus antidepressant was associated with decreased risk of 6-month MoCA score <26 (adjusted OR, 0.25; 95%CI, 0.09–0.70; P=0.008).Conclusion These findings demonstrate that PMES adjunctive to antidepressant therapy is highly effective in reducing depression, achieving remission in the short term, and improving cognition.

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