scholarly journals Feasibility study of assessing the Preclinical Alzheimer Cognitive Composite (PACC) score via videoconferencing

2021 ◽  
Author(s):  
Giulia Seghezzo ◽  
Yvonne Van Hoecke ◽  
Laura James ◽  
Donna Davoren ◽  
Elizabeth Williamson ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Clinical Practice ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Pearson Correlation ◽  
Cognitive Tests ◽  
Strong Positive Correlation ◽  
Pearson Correlation Coefficient ◽  
Face To Face ◽  
The Difference

Abstract Background The Preclinical Alzheimer Cognitive Composite (PACC) is a composite score which can detect the first signs of cognitive impairment, which can be of importance for research and clinical practice. It is designed to be administered in person; however, in-person assessments are costly, and are difficult during the current COVID-19 pandemic. Objective To assess the feasibility of performing the PACC assessment with videoconferencing, and to compare the validity of this remote PACC with the in-person PACC obtained previously. Methods Participants from the HEalth and Ageing Data IN the Game of football (HEADING) Study who had already undergone an in-person assessment were re-contacted and re-assessed remotely. The correlation between the two PACC scores was estimated. The difference between the two PACC scores was calculated and used in multiple linear regression to assess which variables were associated with a difference in PACC scores. Findings Of the 43 participants who were invited to this external study, 28 were re-assessed. The median duration in days between the in-person and the remote assessments was 236.5 days (7.9 months) (IQR 62.5). There was a strong positive correlation between the two assessments for the PACC score, with a Pearson correlation coefficient of 0·82 (95% CI 0·66, 0·98). The multiple linear regression found that the only predictor of the PACC difference was the time between assessments. Interpretation This study provides evidence on the feasibility of performing cognitive tests online, with the PACC tests being successfully administered through videoconferencing. This is relevant, especially during times when face-to-face assessments cannot be performed.

scholarly journals Short IQCODE as a screening tool for MCI and dementia: preliminary results

2008 ◽  
Vol 2 (4) ◽  
pp. 300-304 ◽  
Author(s):  
Tíbor Rilho Perroco ◽  
Antonio Eduardo Damin ◽  
Norberto A. Frota ◽  
Mari-Nilva M. Silva ◽  
Viviane Rossi ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Clinical Practice ◽  
Mild Cognitive Impairment ◽  
Linear Regression ◽  
Roc Curve ◽  
Screening Tool ◽  
Cognitive Tests ◽  
Item Questionnaire ◽  
Dsm Iv ◽  
Low Educated

Abstract Reaching a diagnosis may be difficult in the initial stages of dementia, especially in low educated individuals, when informant reports may be useful. Objectives: To compare the sensitivity and specificity of the IQCODE against cognitive tests applied in clinical practice and to evaluate the possible cut-off points in Brazil. Methods: Individuals without dementia (CDR=0; N=5), with Mild Cognitive Impairment (MCI) (CDR=0.5; N=15) and demented (CDR³1; N=29) were evaluated using the Short IQCODE, a 16-item questionnaire applied to an informant, and on standard cognitive and functional scales. Diagnosis was reached by a consensus team with expertise in dementia, according to DSM-IV criteria, which was blind to the IQCODE results. Results: IQCODE scores were positively correlated to the CDR (r=0.65, p<0.001) and negatively correlated with years of schooling (r= -0.33, p=0.021). IQCODE scores were positively correlated with CDR controlled by age and education (r=0.61, p<0.001). Linear regression showed that age was associated with the IQCODE (p=0.016) whereas education was not associated (p=0.078). IQCODE means according to the CDR classification were: CDR 0-3.37; CDR 0.5-3.75; CDR 1-4.32; CDR 2-4.61; CDR 3-5.00. The area under the ROC curve for dementia vs. controls was 0.869 (p<0.001), MCI vs. controls, 0.821 (p<0.001); and according to the groups classified by the CDR was: CDR 0.5 vs. CDR 1=0.649 (p=0.089), CDR 1 vs. CDR 2=0.779 (p=0.009), and CDR 2 vs. CDR 3=0.979 (p=0.023). Conclusions: These preliminary findings suggest that the short IQCODE can be used for the screening of MCI and dementia in Brazil.

scholarly journals Use of Artificial Neural Networks and Multiple Linear Regression Model for the Prediction of Dissolved Oxygen in Rivers: Case Study of Hydrographic Basin of River Nyando, Kenya

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-23 ◽  
Author(s):  
Yashon O. Ouma ◽  
Clinton O. Okuku ◽  
Evalyne N. Njau
Keyword(s):  
Water Quality ◽  
Linear Regression ◽  
Dissolved Oxygen ◽  
Multiple Linear Regression ◽  
Pearson Correlation ◽  
Multiple Linear Regression Model ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Quality Monitoring

The process of predicting water quality over a catchment area is complex due to the inherently nonlinear interactions between the water quality parameters and their temporal and spatial variability. The empirical, conceptual, and physical distributed models for the simulation of hydrological interactions may not adequately represent the nonlinear dynamics in the process of water quality prediction, especially in watersheds with scarce water quality monitoring networks. To overcome the lack of data in water quality monitoring and prediction, this paper presents an approach based on the feedforward neural network (FNN) model for the simulation and prediction of dissolved oxygen (DO) in the Nyando River basin in Kenya. To understand the influence of the contributing factors to the DO variations, the model considered the inputs from the available water quality parameters (WQPs) including discharge, electrical conductivity (EC), pH, turbidity, temperature, total phosphates (TPs), and total nitrates (TNs) as the basin land-use and land-cover (LULC) percentages. The performance of the FNN model is compared with the multiple linear regression (MLR) model. For both FNN and MLR models, the use of the eight water quality parameters yielded the best DO prediction results with respective Pearson correlation coefficient R values of 0.8546 and 0.6199. In the model optimization, EC, TP, TN, pH, and temperature were most significant contributing water quality parameters with 85.5% in DO prediction. For both models, LULC gave the best results with successful prediction of DO at nearly 98% degree of accuracy, with the combination of LULC and the water quality parameters presenting the same degree of accuracy for both FNN and MLR models.

Personal Adaptive Method to Assess Mental Tension during Daily Life Using Heart Rate Variability

2012 ◽  
Vol 51 (01) ◽  
pp. 39-44 ◽  
Author(s):  
K. Matsuoka ◽  
K. Yoshino
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Test Data ◽  
Daily Life ◽  
Pearson Correlation ◽  
Multiple Linear Regression Model ◽  
Training Data ◽  
Data Set

SummaryObjectives: The aim of this study is to present a method of assessing psychological tension that is optimized to every individual on the basis of the heart rate variability (HRV) data which, to eliminate the influence of the inter-individual variability, are measured in a long time period during daily life.Methods: HRV and body accelerations were recorded from nine normal subjects for two months of normal daily life. Fourteen HRV indices were calculated with the HRV data at 512 seconds prior to the time of every mental tension level report. Data to be analyzed were limited to those with body accelerations of 30 mG (0.294 m/s2) and lower. Further, the differences from the reference values in the same time zone were calculated with both the mental tension score (Δtension) and HRV index values (ΔHRVI). The multiple linear regression model that estimates Δtension from the scores for principal components of ΔHRVI were then constructed for each individual. The data were divided into training data set and test data set in accordance with the twofold cross validation method. Multiple linear regression coefficients were determined using the training data set, and with the optimized model its generalization capability was checked using the test data set.Results: The subjects’ mean Pearson correlation coefficient was 0.52 with the training data set and 0.40 with the test data set. The subjects’ mean coefficient of determination was 0.28 with the training data set and 0.11 with the test data set.Conclusion: We proposed a method of assessing psychological tension that is optimized to every individual based on HRV data measured over a long period of daily life.

Mathematical coupling of data: correction of a common error for linear calculations

1986 ◽  
Vol 60 (1) ◽  
pp. 335-343 ◽  
Author(s):  
L. F. Moreno ◽  
H. H. Stratton ◽  
J. C. Newell ◽  
P. J. Feustel
Keyword(s):  
Linear Regression ◽  
Regression Coefficient ◽  
Pearson Correlation ◽  
Pearson Correlation Coefficient ◽  
Linear Regression Coefficient ◽  
Common Error ◽  
The Common ◽  
The Relationship ◽  
Scientific Environment ◽  
Mathematical Coupling

The need frequently arises in the scientific environment to investigate the relationship between quantities that are calculated from a common set of directly measured variables. However, the presence of error in the common set of measured variables distorts the relationship among the calculated quantities and can lead to incorrect conclusions. This article presents a method of correcting for such distortions in the Pearson correlation coefficient and in the linear regression coefficient for linear calculations involving two measured variables. The errors considered may be either independent of, or proportional to, the value of the variable being measured. Tests to determine whether these popular coefficients have values significantly different from zero are presented. An example from the physiology literature is presented to illustrate these techniques.

scholarly journals The Effect of Automotive Seat Cushion Stiffness Distribution on the Subjective Comfort

2019 ◽  
Vol 8 (2S6) ◽  
pp. 336-341
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
The Body ◽  
Strong Positive Correlation ◽  
Comfort Evaluation ◽  
Selection Of Variables ◽  
Stiffness Distribution

When body pressures are concentrated, sense of fatigue is increased. To confirm this, correlation analysis between the difference in stiffness of seat and comfort using multiple linear regression analysis has been conducted. For the selected three types of seats which are small-, mid-, and large-size seats, respectively, static tests were con-ducted to measure the distribution of the subject's body pressure on the cushion, through which local stiffness distribution were derived. Also, a subjective comfort evaluation was conducted, and analyzed. According to the present analysis results, the correlation coefficients between stiff-ness of hip area and comfort of hip area were observed to be 0.713 and 0.789, respectively, indicating a strong positive correlation. Thus, the comfort of seat perceived by the driver could be seen to have the largest linear correlation with the stiffness of hip area. Selection of variables for the multiple linear regression analysis was implemented by a backward removal method. Differences of stiffness by areas were selected as independent variables, and subjective comfort evaluation results were selected as dependent variables. According to multiple regression analysis, the comfort of the cushion increased when the left and right balance of the stiffness distribution was maintained even if the body pressure distribution of the hip area was concentrated on one side. According to the analysis results, the stiffness of hip area could be seen to have the greatest linear relationship with the overall satisfaction of comfort, in which comfort is planned to be confirmed by actual production of seats

scholarly journals HUBUNGAN SUMBER DAYA MANUSIA, SARANA PRASARANA, KOMUNIKASI PONED–PONEK, DAN STANDAR OPERASIONAL PROSEDUR DENGAN SYARAT DAN PERSIAPAN RUJUKAN PUSKESMAS PONED

2019 ◽  
Vol 13 (1) ◽  
pp. 41
Author(s):  
Susanti Tria Jaya ◽  
Johanes C Mose ◽  
Farid Husin ◽  
Jusuf S Effendi ◽  
Deny K Sunjaya
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Pearson Correlation ◽  
Cross Sectional ◽  
Correlation Test ◽  
Pearson Correlation Test

Rujukan pelayanan kesehatan merupakan salah satu upaya untuk penanganan kasus emergensi yang mengatur pelimpahan tugas dan tanggung jawab pelayanan kesehatan secara timbal balik, baik vertikal maupun horizontal. Memperkuat sistem rujukan merupakan salah satu cara dalam mempercepat penurunan angka kematian ibu. Upaya tersebut tidak terlepas dari penanganan kasus emergensi di fasilitas pelayanan kesehatan melalui peningkatan PONED di puskesmas dan PONEK di rumah sakit. Untuk mendukung pelayanan PONED dan PONEK dibutuhkan pembentukan sistem rujukan yang sesuai standar. Pelaksanaan Rujukan yang terorganisir harus dilakukan dengan syarat dan persiapan yang tepat untuk merujuk kasus kegawatdaruratan ibu dan bayi secara tepat dan cepat.  Tujuan penelitian ini adalah menganalisis hubungan sumberdaya manusia, sarana prasarana, komunikasi PONED – PONEK, dan standar operasional prosedur dengan syarat dan persiapan rujukan puskesmas PONED.Desain penelitian observasional analitik kuantitatif dengan metode survei, pendekatan waktu cross sectional. Pengukuran data menggunakan pemodelan Rasch dengan mengubah data ordinal menjadi data interval dalam bentuk logit. Populasi dalam penelitian ini adalah Tim inti PONEDdari 18 Puskesmas PONED di  Wilayah Bagian Utara Provinsi Aceh. Sampel berjumlah 72 orang diambil secara total sampling. Variabel diukur menggunakan kuesioner. Analisis bivariabel menggunakan Pearson Correlation Test sedangkan untuk multivariabel menggunakan Multiple Linear Regression.Hasil penelitian menunjukkan bahwa syarat dan persiapan rujukan belum sesuai standar, umpan balik dari RS PONEK ke Puskesmas PONED sangat susah dilaksanakan, sumberdaya manusia tidak memenuhi kualifikasi standar minimal Puskesmas PONED dan belum terlatih, sarana prasarana rujukan yang tersedia untuk di ambulan belum cukup, komunikasi PONED–PONEK masih satu arah dan standar operasional prosedur belum lengkap, dan tidak diletakkan di tempat yang mudah dilihat petugas. Hasil analisis Multiple Linear Regression menunjukkan bahwa variabel yang paling dominan berhubungan dengan syarat dan persiapan rujukan adalah standar operasional prosedur (p<0,001). Simpulan dalam penelitian ini adalah pelaksanaan rujukan puskesmas PONED yang sesuai standar masih belum tercapai, belum semua sumberdaya manusia yang tersedia memenuhi kualifikasi Puskesmas PONED. Diharapkan dukungan dinas kesehatan akan berpengaruh pada kesiapan rujukan Puskesmas PONED yang berkualitas.

scholarly journals Pembelajaran Kewirausahaan Dan Lingkungan Keluarga Kaitannya Dengan Intensi Berwirausaha Siswa SMK

2019 ◽  
Vol 17 (2) ◽  
pp. 68
Author(s):  
Mega Hermayanti ◽  
Hari Mulyadi
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Family Environment ◽  
Linear Regression Analysis ◽  
Population Data ◽  
Multiple Linear Regression Analysis ◽  
Entrepreneurial Intention ◽  
Measurement Instruments ◽  
Entrepreneurial Learning ◽  
The Difference

This study was conducted to see how much influence entrepreneurial learning and family environment to the entrepreneurial intention of students. Type of research is descriptive and verification with samples taken as many as 108 respondents from 151 population. Data analysis techniques in this study using multiple linear regression. Based on the results of research using multiple linear regression analysis, showed that entrepreneurial learning and family environment significantly affect the entrepreneurial intention of  students. The difference in this study with other studies located from the object of research, measurement instruments used, population and sample, as well as research results. In this study, using the theory of journals and books, so the theory used is different.

scholarly journals The Effect of Smoking and Respiration of Carbon Monoxide among Active Smokers in Palembang, Indonesia

2021 ◽  
Vol 16 (2) ◽  
Author(s):  
Rico Januar Sitorus ◽  
Imelda Gernauli Purba ◽  
Merry Natalia ◽  
Kraichat Tantrakarnapa
Keyword(s):  
Carbon Monoxide ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
The Body ◽  
Cross Sectional ◽  
Independent Variables ◽  
Cross Sectional Design

Smoking leads to disease and disability as well as harm nearly every organ of the body. Furthermore, smoking of tobacco is known to cause pulmonary dysfunction and lead to complications, pain, or even death. This study aims to measure the risk factors for the respiration of carbon monoxide among smokers. A cross-sectional design was implemented by involving 156 smokers in Karyajaya Subdistrict, Palembang City. The dependent variable was carbon monoxide levels (ppm), while the independent variables were smoking frequency, duration, and the last period of smoking. The carbon monoxide levels (ppm) measured with a PiCO + Smokerlyzer® device from Bedfont Scientific Limited were the research tool and the independent variables of the questionnaire. The pearson Correlation and multiple linear regression were used for the analysis. The results of the multiple linear regression analysis revealed that smoking duration assessment is related to carbon monoxide respiration after controlling smoking frequency, the last period of smoking, and the distance of residence to sources of exposure. The smoker's respiration of carbon monoxide level was 72.5% influenced by the duration, frequency, last period of smoking, and distance of residence to sources of exposure. Reducing the frequency of smoking and stopping may prevent and control carbon monoxide respiration.

scholarly journals Clinical Reliability of Different Facial Measurements in Determining Vertical Dimension of Occlusion in Dentulous and Edentulous Subjects

2014 ◽  
Vol 4 (3) ◽  
pp. 68-77 ◽  
Author(s):  
Yashpal Singh ◽  
Anchal Brar ◽  
Khurshid A Mattoo ◽  
Manas Singh ◽  
Puneet Raj Singh Khurana ◽  
...  
Keyword(s):  
Correlation Coefficient ◽  
Pearson Correlation ◽  
T Test ◽  
Vertical Dimension ◽  
Pearson Correlation Coefficient ◽  
Age Group ◽  
Facial Landmarks ◽  
Anterior Nasal Spine ◽  
The Difference

ABSTRACT Purpose To determine the variations in average distances between various facial landmarks used to determine the vertical dimension of rest and occlusion among dentulous and edentulous subjects. Besides determining the reliability of these facial measurements against commonly used Chin-Nose distance, this study would also compare the difference between cephalometric landmarks (anterior nasal Spine-Menton) with the Chin-Nose distance (Niswonger's method). Materials and methods To standardize the measurement and minimize errors associated with observer and subject movement, a novel instrument was designed in the form of an apparatus and was named as subject and device stabilizing apparatus (SDSA). One hundred and twenty subjects, in the age group of 30 to 60 years, were selected and divided into two equal groups which were further subdivided into subgroups. Measurements were recorded with the help of a digital vernier that was attached to the apparatus. The various facial measure- ments studied were Pupil-Stomion, Glabella-Subnasion, Pupil-Pupil and Angle-Angle both at rest and in occlusion. These measurements were then compared with Chin-Nose and anterior nasal Spine-Menton distance. Differences between the dentulous and edentulous subjects at rest and at occlusion were noted and statistically analyzed using unpaired ‘t’ test and Karl Pearson correlation coefficient. Results Among the six measurements Chin-Nose, Glabella- Subnasion, Pupil-Stomion and anterior nasal Spine-Menton were closely associated between dentulous and edentulous subjects both at rest and at occlusion. Among all facial and cephalometric measurement the facial parameter of Pupil- Stomion illustrates the least deviation in edentulous (1.318) and dentulous (1.381) subjects at rest, whereas anterior nasal Spine-Menton displays least deviation in edentulous (2.751) and dentulous (1.224) subjects at occlusion. Conclusion The average facial measurements in dentulous subjects were more than measurements in edentulous subjects and among various facial measurements, Pupil-Stomion and anterior nasal Spine-Menton distance can be used clinically as a guide to verify vertical dimension of occlusion. How to cite this article Brar A, Mattoo KA, Singh Y, Singh M, Khurana PRS, Singh M. Clinical Reliability of Different Facial Measurements in Determining Vertical Dimension of Occlusion in Dentulous and Edentulous Subjects. Int J Prosthodont Restor Dent 2014;4(3):68-77.

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