scholarly journals Muscle Atrophy in Malnutrition Stroke Patients Is a Factor That Causes a Decrease in Physical Function and Activities of Daily Living

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1214-1214
Author(s):  
Yamanoi Jyunya
Keyword(s):  
Regression Analysis ◽  
Activities Of Daily Living ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Muscle Atrophy ◽  
Lower Limb ◽  
Daily Living ◽  
Stepwise Multiple Regression ◽  
Stroke Patients ◽  
Independent Variables

Abstract Objectives Lower limb muscles of malnutrition stroke patients (MSP) tend to muscle atrophy more than the good nutrition patients. Muscle atrophy causes physical function (PF) and decreased activities of daily living (ADL). However, it is not clear how much the muscle atrophy in MSP affects PF and ADL. The purpose of this study was to clarify the influence of muscle atrophy of MSP on PF and ADL. Methods The subjects were 140 MSP who were 65 years or older. MSP was determined by assessing the Global Leadership Initiative on Malnutrition upon admission. For lower limb muscle atrophy, muscle thickness (QMT), pennation angle (QPA) and echo intensity (QEI) of the quadriceps of the affected and unaffected sides were measured using a B-mode ultrasound imaging device (SONON 300 L). PF and ADL were evaluated for Functional Independence Measure (FIM) and Short Physical Performance Battery (SPPB), respectively. All evaluation items were evaluated at admission and discharge. Statistical analysis used stepwise multiple regression analysis to identify factors individually associated with FIM and SPPB. QMT, QPA and QEI were set as the independent variables. We then entered the QMT, QPA and QEI of the paretic and non-paretic sides in another stepwise multiple regression model to avoid multicollinearity. In addition, we calculated an effect size (f2) for the multiple regression analysis. The statistical power of that analysis was based on f2, an alpha error of 0.05, the total sample size, and the number of predictor variables. Statistical significance was accepted as P < 0.05. Results FIM and SPPB at admission and discharge were significantly independently associated with the QMT, QPA and QEI of the affected and unaffected sides (QMT: β > 0.40, R2 > 0.43, f2 > 0.72, power > 99.5%, QPA: β > 0.38, R2 > 0.40, f2 > 0.63, power > 99.2%, QEI: β <−0.42, R2 > 0.47, f2 > 0.71, power = 99.9%). There was no multicollinearity between the independent variables in the stepwise multiple regression analyses, and the variance inflation factors ranged from 1.000 to 1.388. Conclusions It was suggested that muscle atrophy of MSP is a factor that decreases ADL and PF. Based on the above, it is necessary to assess atrophy in MSP and in some cases, intervention is required. In the future, we plan to develop effective treatments for atrophy in MSP. Funding Sources The authors declare no conflicts of interest associated with this manuscript.

Application of multiple regression analysis to morphometric characters obtained from Serranus cabrilla (linnaeus, 1758) by using stepwise method

2017 ◽  
Author(s):  
Levent Sangün ◽  
O. Ýnanç Güney
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
The Body ◽  
Stepwise Multiple Regression ◽  
Morphometric Characters ◽  
Independent Variables ◽  
Fisheries Science ◽  
Stepwise Method

In fisheries science, high number of morphometric measures (independent variables) taken from different parts of the fish complicates the estimation of the body weight (dependent variable). Therefore, the researchers are seeking for a solution facilitating the interpretation of the equations of correlation between the characteristics. One way to deal with this challenge is the dimension reduction by means of stepwise multiple regression analysis. The aim of this study is to explain total variation with the same accuracy by using fewer independent variables. To accomplish this, 12 morphometric measures from 210 individuals of Serranus cabrilla were measured to estimate the body weight. Firstly, the 95% of the variation was explained by means of multiple regression analysis by using all variables. Then, by step-wise method, the same results were achieved with fewer independent variables. Finally, the variables with inter-multicollinearity eliminated and with two remaining independent variables determination coefficients resulted as 95%. The result showed that using more variables does not create significant distinction for accuracy to estimate the body weight although; the total length and body dept was the most effective features for weight.

An Analysis of Correlates of Perceived Positive and Negative Prayer Outcomes

1981 ◽  
Vol 9 (4) ◽  
pp. 352-358 ◽  
Author(s):  
Grant Henning
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Personal Characteristics ◽  
Positive Outcome ◽  
Stepwise Multiple Regression ◽  
Stepwise Multiple Regression Analysis ◽  
Binary Outcome ◽  
Independent Variables ◽  
Will Of God

Ninety-nine prayer instances voluntarily recalled by 10 religious persons were examined for the relation between perceived binary outcome (i.e., answered, un-answered) and thirteen independent prayer variables. Independent variables included size of prayer group, vowing, claiming biblical promises, fasting, thanksgiving, agonizing, authoritativeness, repetition, self-other benefit, perceived will of God, urgency, acting on outcome, and seeking cleansing. Nine of these variables showed significant relatedness to positive outcome and were rank-ordered for contribution to positive outcome. Personal characteristics of sex and nationality of the person praying were examined for correlation with reported prayer behaviors. Finally, the thirteen independent variables were regressed on binary outcome by means of stepwise multiple regression analysis to ascertain cumulative contributions to variance in prayer outcome. Acting on outcome and thanksgiving were found to contribute most to outcome variance.

scholarly journals Factors related to instrumental activities of daily living in persons with chronic thromboembolic pulmonary hypertension

2021 ◽  
Vol 18 ◽  
pp. 147997312110466
Author(s):  
Tatsuya Iwasawa ◽  
Shogo Fukui ◽  
Michiyuki Kawakami ◽  
Takashi Kawakami ◽  
Masaharu Kataoka ◽  
...  
Keyword(s):  
Pulmonary Hypertension ◽  
Regression Analysis ◽  
Activities Of Daily Living ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Daily Living ◽  
Walking Speed ◽  
Chronic Thromboembolic Pulmonary Hypertension ◽  
Instrumental Activities ◽  
Thromboembolic Pulmonary Hypertension

Instrumental activities of daily living (IADL) are significantly related to quality of life and mortality among individuals with heart disease. However, few reports have examined IADL in persons with chronic thromboembolic pulmonary hypertension (CTEPH). The aim of this study was to clarify factors related to IADL in persons with CTEPH. This retrospective, observational study enrolled 163 persons with CTEPH (mean ± standard deviation age = 65 ± 13 years; 68% female) admitted to the Department of Cardiology at Keio University Hospital between January 2015 and July 2019. The Frenchay Activities Index (FAI) was used to assess IADL. Age, sex, body mass index, World Health Organization functional class (WHO-FC), cardiac function (mean pulmonary arterial pressure, mean right atrial pressure, pulmonary capillary wedge pressure, and cardiac index), pulmonary function (percentage vital capacity, percentage forced expiratory volume in 1 s, diffusion capacity of carbon monoxide (DLCO)/alveolar volume (VA)), physical function (knee extension strength and walking speed), and 6-min walking distance (6MWD) were assessed. Multiple regression analysis was performed to identify factors significantly associated with FAI. Mean FAI was 25 ± 8. Univariate analysis showed that sex, WHO-FC, DLCO/VA, walking speed, and 6MWD were correlated with FAI. Multiple regression analysis showed that 6MWD (sβ = 0.338, 95% CI 0.014–0.034, p < .001), sex (sβ = 0.268, 95% CI 2.238–7.165, p < .001), and DLCO/VA (sβ = 0.257, 95% CI 1.011–3.528, p < .001) were significantly correlated with FAI ( R2 = 0.261). IADL were associated with exercise tolerance, sex, and DLCO/VA in persons with CTEPH. In the future, more details of IADL are expected to be clarified by analyzing individual components of IADL and investigating social background characteristics, including living environment.

PENGARUH PELATIHAN DAN MOTIVASI TERHADAP KINERJA KARYAWAN PADA KOPILOKA 3.0 PALEMBANG TAHUN 2021

2021 ◽  
Vol 1 (2) ◽  
pp. 145-152
Author(s):  
Juni Eliana Prasetya N ◽  
Moh. Faizal ◽  
Choirunnisak Choirunnisak
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Work Motivation ◽  
Employee Performance ◽  
Independent Variables ◽  
Analysis Technique ◽  
Level Of Training ◽  
Positive Effect

In this study, there are results that contradict the theory which states that the higher the level of training and motivation, the employee's performance should increase.  In this study, training had no effect and motivation had no positive effect. This study aims to determine the effect of training and work motivation on employee performance in Kopiloka 3.0.  The population in this study were all employees at Kopiloka 3.0, which amounted to 15 people with a sample of 15 people using saturated sampling.  The data analysis technique in this study used SPSS 24 software, which consisted of data quality test, classical assumption test, multiple regression analysis, and hypothesis testing. By using multiple regression analysis, the results of the study show that training has no effect on employee performance.  Motivation has a significant effect on employee performance.  Simultaneously (together) the independent variables of training and motivation have an effect on employee performance.

scholarly journals Quality Assurance among Childcare Employees in Selangor

2021 ◽  
Vol 18 ◽  
pp. 1498-1511
Author(s):  
Yaty Sulaiman ◽  
Ng Kel Lie
Keyword(s):  
Quality Assurance ◽  
Regression Analysis ◽  
Quality Management ◽  
Total Quality Management ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Employee Commitment ◽  
Total Quality ◽  
Independent Variables ◽  
Employee Competencies

Caregiver or childcare employee is responsible to produce excellent quality in taking care of the children. A good practice of quality assurance among employees is important to develop the future generations. The objective of this research is to identify the factors that influence quality assurance among childcare employees in Selangor. It is to determine the relationship between factors (physical facilities, employee commitment, communication, and employee competencies) and quality assurance. A random sampling technique was used to select respondents from the registered childcare centers in Selangor, Malaysia. The study used quantitative approach through structured questionnaires developed from previous research. Among 450 survey questionnaires distributed, only 379 questionnaires were accepted and used for analysis. Study uses SPSS 22.0 to analyze data. Methodologies such as Pearson Correlation and Multiple Regression Analysis were conducted in analyzing the data. Findings revealed that quality assurance is having a positive relationship with physical facilities, employee commitment, communication, and employee competencies, with the overall results of the multiple regression analysis showed that all independent variables have relationships with the dependent variable at p=0.000. The result of this test also indicated that all independent variables have positive beta coefficient value as physical facilities, employee commitment, communication and employee competencies at 0.372, 0.251, 0.064 and 0.103 respectively. Thus, this study adds to better understanding of the total quality management (TQM) which is the main underlying theory used to develop the research framework. In general, Total Quality Management (TQM) advised on the factors such as physical facilities, employee commitment, employee competencies, and communication that when applied, could get the best result of employees.

scholarly journals Cardiac Affection in Type 1 Diabetic Patients in Relation to Omentin

2015 ◽  
Vol 3 (4) ◽  
pp. 699-704 ◽  
Author(s):  
Soha M. Abd El Dayem ◽  
Ahmed A. Battah ◽  
Amal El Shehaby
Keyword(s):  
Type 1 Diabetes ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Stepwise Multiple Regression ◽  
Cardiac Autonomic Neuropathy ◽  
Control Group ◽  
Diabetic Patients ◽  
Stepwise Multiple Regression Analysis

AIM: To evaluate cardiac affection in type 1 diabetes in relation to Omentin.PATIENTS AND METHODS: Sixty two diabetics and 30 volunteer of the same age and sex were included as a control group. Blood sample was taken for assessment of omentin and oxidized low density lipoprotein (OxLDL), glycosylated hemoglobin (HbA1) and lipid profile. Urine sample was taken for assessment of albumin/ creatinine ratio. 24 hour holter was also done. T-test, simple correlation followed by stepwise multiple regression analysis was used for analysis of data.RESULTS: Parameters of 24 hour holter were significantly lower in diabetics. Omentin was significantly lower, while OxLDL were significantly higher than controls. RMSSD, ST deviation and OxLDL were the parameters related to omentin by stepwise multiple regression analysis in diabetics.CONCLUSION: Diabetic patients had a cardiac autonomic neuropathy. A significant reduction of omentin and elevation OxLDL imply that they influence glucose metabolism in type 1 diabetes. Omentin had a significant relation to 24 hr holter which may reflect its role in cardiac affection. Omentin and OxLDL had a role in renal affection.

20 FACTORS THAT AFFECT PURITY AND YIELD OF BOVINE SEX-SORTED SPERM

2011 ◽  
Vol 23 (1) ◽  
pp. 116
Author(s):  
Y. Sakamoto ◽  
M. Ueda ◽  
S. Toda ◽  
H. Kimura
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Event Rate ◽  
Stepwise Multiple Regression ◽  
Stepwise Multiple Regression Analysis ◽  
Drive Frequency ◽  
Frequency Drop ◽  
Degree Of Separation ◽  
Holstein Bulls

The purposes of these studies were to examine the influence on the yield of sex-sorted sperm by the different size of sorting gate and to evaluate factors that affect the purity of sex-sorted sperm. As the sorting gate was expanded, so the yield of bovine sex-sorted sperm using flow cytometry was increased. At the same time, the purity of sex-sorted sperm became low. In addition, though the sorting gates were the same size, the purity of sex-sorted sperm differed among trials. These observations indicated the existence of factors that affect purity besides the size of sorting gate. To examine the yield of sex-sorted sperm, X-bearing sex-sorted sperm from 4 Holstein bulls were produced repeatedly 34 times by 3 flow cytometers. The sizes of sorting gates were fixed at 40–42%, 44%, and 46%. Each yield of sorting gate at 40–42%, at 44% and at 46% was compared. To evaluate factors that affect purity, X- or Y-bearing sex-sorted sperm were produced by one flow cytometer. These trials were repeated 160 times for the sorting of X-bearing sperm and 45 times for the sorting of Y-bearing sperm. Stepwise multiple regression analysis was used to analyse the relationships between the purity of sex-sorted sperm and the following sorting conditions, the percentage of oriented sperm, the percentage of dead sperm, degree of separation between X-bearing and Y-bearing sperm, the size of sorting gate, event rate, drop drive frequency, drop delay value and drop delay accuracy. The highest yield was acquired by sorting gate at 44%. The number of sex-sorted sperm was increased as sorting gate was expanded, however, the purity became low. The purities of the sperm by some trials using sorting gate at 46% were less than our acceptable lowest purity that was 90%. So that those sperm must be discarded. Therefore the yield of sorting gate at 44% was greater than sorting gate at 46%. Stepwise multiple regression analysis revealed that the factors for increasing purity of X-bearing sex-sorted sperm were the percentage of oriented sperm (P < 0.001), the degree of separation between X-bearing sperm and Y-bearing sperm (P < 0.001), the drop delay accuracy (P < 0.001), the event rate and the drop drive frequency, and the factor for decreasing purity of X-bearing sex-sorted sperm was the size of sorting gate (P < 0.001). On the other hand, the factors for increasing purity of Y-bearing sex-sorted sperm were the percentage of oriented sperm (P < 0.01), the degree of separation between X-bearing sperm and Y-bearing sperm (P < 0.01) and the event rate (P < 0.05), and the factor for decreasing purity of Y-bearing sex-sorted sperm was the size of sorting gate (P < 0.01). From these results, it can be concluded that the purity of sex-sorted sperm was not depend on simply by size of sorting gate but was more completely explained by other sorting conditions.

Influence of Obesity on Plasma Fructosamine Concentration

1992 ◽  
Vol 38 (11) ◽  
pp. 2190-2192 ◽  
Author(s):  
J Woo ◽  
C Cockram ◽  
E Lau ◽  
A Chan ◽  
R Swaminathan
Keyword(s):  
Body Mass Index ◽  
Regression Analysis ◽  
Glycemic Control ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Body Mass ◽  
Total Protein ◽  
Stepwise Multiple Regression ◽  
Stepwise Multiple Regression Analysis ◽  
Chinese Community

Abstract The influence of obesity on plasma fructosamine concentration was studied in 68 diabetic and 1335 nondiabetic subjects from a Chinese community. Obese nondiabetic men (body mass index &gt; 25 kg/m2) had lower fructosamine concentrations than nonobese nondiabetic men (body mass index &lt; or = 25 kg/m2); the pattern was similar for diabetic women. Stepwise multiple-regression analysis showed that, apart from known factors (total protein, albumin, and indices of glycemic control), fructosamine was also associated with body mass index and plasma fasting triglycerides. However, the contribution of these were small except in diabetic women. We conclude that the effect of obesity on fructosamine is small.

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