scholarly journals Potassium  Electrolyte Serum - Urine , and Creatinine  in Chronic Kidney Diseases

2021 ◽  
Author(s):  
dr. Indranila KS Kustarini samsuria ◽  
Peni K Samsuria Mutalib ◽  
Arindra Adirahardja Adirahardja
Keyword(s):  
Linear Regression ◽  
Kidney Diseases ◽  
Multivariate Linear Regression ◽  
The Body ◽  
Electrolyte Imbalance ◽  
Other Substances ◽  
Negative Effect ◽  
Urine Potassium ◽  
The Relationship ◽  
Serum And Urine

Abstract Background: The kidneys are important organs in the human body that have many functions. Kidney function is divided into several processes, namely filtration, reabsorption and secretion of substances in the body. Nephron which is the smallest kidney functional unit that is responsible for accommodating all functions in the kidney. One of the functions of the kidneys is secretion, the secretions in the kidneys work by removing electrolytes and other substances that are no longer needed by the body through urine. When the function of the kidney nephrons is disturbed, it can result in an electrolyte imbalance (K), a buildup of waste from substances that are not needed by the body (creatinine). The objective of this research was to examine the relationship between electrolytes (K) serum, urine and creatinine in patients with CKD.Methods: The research was conducted by observational, anamnesis, and sampling of CKD patients at Dr. Kariadi Semarang during the period March-May 2020.Results: The results of the multivariate linear regression test showed that creatinine had a moderate significant positive effect at p = 0.024 and r = 0.412 on serum K. Meanwhile, from multivariate linear regression, it was found that creatinine had a moderate negative effect at p = 0.027 and r = -0.456 on urine K.Conclusions and suggestions: The findings proved the relationship between creatinine levels and serum and urine potassium levels in patients with CKD. Serum and urine electrolytes can be used as an parameter for CKD management.

scholarly journals Factors associated with parasite dominance in fishes from Brazil

2016 ◽  
Vol 25 (2) ◽  
pp. 225-230
Author(s):  
Cristina Fernandes do Amarante ◽  
Wagner de Souza Tassinari ◽  
Jose Luis Luque ◽  
Maria Julia Salim Pereira
Keyword(s):  
Linear Regression ◽  
Body Length ◽  
Regression Models ◽  
Mixed Model ◽  
Multiple Linear Regression Model ◽  
Mixed Effects ◽  
The Body ◽  
Linear Regression Models ◽  
Biological Aspects ◽  
The Relationship

Abstract The present study used regression models to evaluate the existence of factors that may influence the numerical parasite dominance with an epidemiological approximation. A database including 3,746 fish specimens and their respective parasites were used to evaluate the relationship between parasite dominance and biotic characteristics inherent to the studied hosts and the parasite taxa. Multivariate, classical, and mixed effects linear regression models were fitted. The calculations were performed using R software (95% CI). In the fitting of the classical multiple linear regression model, freshwater and planktivorous fish species and body length, as well as the species of the taxa Trematoda, Monogenea, and Hirudinea, were associated with parasite dominance. However, the fitting of the mixed effects model showed that the body length of the host and the species of the taxa Nematoda, Trematoda, Monogenea, Hirudinea, and Crustacea were significantly associated with parasite dominance. Studies that consider specific biological aspects of the hosts and parasites should expand the knowledge regarding factors that influence the numerical dominance of fish in Brazil. The use of a mixed model shows, once again, the importance of the appropriate use of a model correlated with the characteristics of the data to obtain consistent results.

scholarly journals Relationship Between Selected Performance Tests and Non-contact Sports Injuries in Male Wushu Players

2020 ◽  
Vol 10 (4) ◽  
pp. 239-249
Author(s):  
Abbas Ghafouri ◽  
◽  
Fariba Mohammadi ◽  
Behnaz Ganji ◽  
◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Lower Extremities ◽  
Analysis Data ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Analysis ◽  
Balance Test ◽  
Limb Injuries ◽  
The Relationship

Purpose: Several tests have been proposed as injury predictor inventories in various sports; however, it is important to recognize which test is more appropriate to predict the injuries of a particular sport. Therefore, the present study aimed to investigate the relationship between selected functional tests and lower limb injuries in elite male wushu athletes. Methods: In total, 40 wushu player were recruited from the national league (Mean±SD age: 25.1±4.9 y, weight: 67.3±7.7 kg, height: 175.3±4.7 cm). Functional Movement Screening (FMS), Tuck jump, single and double leg squats, Star Excursion Balance Test (SEBT), and Stork balance tests were performed in this research. All of the study variables were measured before the national competition, and after the competition, the rate of the injuries were assessed. The correlation between them was evaluated, subsequently. Descriptive data were used to describe the collected results. Besides, multivariate linear regression analysis was used to explore the relationship between the study variables. Results: Multivariate linear regression analysis data suggested that LESS, stroke balance test, single-leg squat, and SEBT failed to predict lower extremities injuries; however, Tuck jump, FMS, and double leg squat could predict lower extremities injuries. Conclusion: Based on the collected results, among the studied tests, trainers and researchers are suggested to employ the Tuck jump, FMS, and double leg squat tests to predict injuries in wushu male players; this test can also be used to prevent injuries in players.

scholarly journals Predict the amount of Cu using the four Ca, Al, P, S Elements by Multiple Linear Regression Method

2021 ◽  
Vol 9 (9) ◽  
pp. 1088-1092
Author(s):  
Hamed Nazerian
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Regression Method ◽  
Multivariate Linear Regression ◽  
Linear Regression Method ◽  
Multiple Linear Regression Method ◽  
Spss Software ◽  
Exploration Area ◽  
The Relationship ◽  
South Khorasan

Abstract: The study area is located in Sarbisheh city in South Khorasan province, Iran. Copper estimation was performed by multivariate linear regression method to facilitate the use of previous analyses to predict this element in other areas, reduce costs and also reduce the number of samples. For this purpose, by obtaining a basic formula from estimating the amount of Cu with one of the promising points samples, the amount of copper in other parts of the exploration area was investigated. Several analyses were taken from the exploratory area after calculations to validate the regression. The regression results of new and old data were compared and estimation acceptable. These calculations were performed by SPSS software, according to the four elements Ca, Al, P, S, the results obtained and the relationship presented has acceptable validity. Keywords: Multivariate linear regression, Cu estimation, SPSS, Iran.

The relationship between the body shape of living pigs and their carcass morphology and composition

2004 ◽  
Vol 79 (1) ◽  
pp. 73-83 ◽  
Author(s):  
A. B. Doeschl ◽  
D. M. Green ◽  
C. T. Whittemore ◽  
C. P. Schofield ◽  
A. V. Fisher ◽  
...  
Keyword(s):  
Linear Regression ◽  
Body Length ◽  
Live Weight ◽  
The Body ◽  
Strongly Correlated ◽  
Muscle Weight ◽  
Data Set ◽  
Weight Variation ◽  
Rate Of Increase ◽  
The Relationship

AbstractThe conformation, tissue composition, and chemical composition of three types of pigs, given food ad libitum and slaughtered over a nominal live weight range of 35 to 115 kg, was assessed in relation to data provided on the live animals by a visual image analysis (VIA) system. The pig types were named as ‘3⁄4 Landrace’, ‘1⁄2 Pietrain’, and ‘1⁄4 Meishan’ types, representing ‘attenuated’, ‘blocky’, and ‘flabby’ types. Three analyses of the shape, conformation and composition data were performed. First, the relationship between conformation and age/size was assessed using linear regression of logarithmically transformed VIA and carcass data. In relation to age, ‘1⁄2 Pietrain’ pigs were found by both VIA and carcass measurements to have the widest shoulders. Both analyses also found this type to have the widest ham, trunk, and shoulders in relation to body length across most of the body length range studied, although the greatest rate of increase in ham width in relation to body length was found in the ‘1/4 Meishan’ type pigs. Second, the relationship between composition and VIA shape was examined using linear regression of transformed and standardized data. Significant relationships were found between fat, lipid, muscle, and protein weight and VIA shape, although relationships were weaker for protein and muscle weight. For fat and lipid, the VIA shape measures from the trunk region proved the most informative, whereas the VIA ham measures proved the most informative for muscle and protein. Third, detrended measures of composition/conformation and shape were used to remove the effect of animal size from the data. Removal of the variation due to growth generally led to substantial decreases in the adjusted R2statistics and in the R2-like statistics for prediction. Although in the models without detrending, relative fat and lipid weight had been found most strongly correlated with VIA shape, relative muscle was found most strongly correlated with shape in the detrended data. This was considered to result from the low between-animal variation in the data set combined with greater across-weight variation in fat and lipid weights than muscle and protein weights in the data without trend removal. Future trials with greater between-animal variation imposed would allow more precise determination of the relationship between conformation and shape.

The Drug–Crime Connection in Adolescent and Adult Respondents

2016 ◽  
Vol 47 (2) ◽  
pp. 205-216 ◽  
Author(s):  
Glenn D. Walters
Keyword(s):  
Drug Use ◽  
Linear Regression ◽  
Early Adulthood ◽  
Multivariate Linear Regression ◽  
Regression Analyses ◽  
Criminal Offending ◽  
England And Wales ◽  
Drug Crime ◽  
The Relationship ◽  
Practical Implications

The aim of this study was to determine whether the nature of the drug–crime relationship differs as a function of participant age (adolescent vs. adult). It was hypothesized that the Drug × Crime interaction would predict subsequent drug use and serious offending in 924 early- to mid-adolescents but not in 722 adults. All participants came from the Offending, Crime, and Justice Survey conducted in England and Wales between 2003 and 2006. The hypothesis was supported by the results of two separate two-equation multivariate linear regression analyses. These findings indicate that the relationship between drug use and criminal offending varies as a function of participant age, such that the relationship is interactive during its formative years but becomes cumulative or additive during early adulthood. The research, theoretical, and practical implications of these results are discussed.

scholarly journals Prediction of Phenytoin Dosage in Epilepsy Using Multiple Linear Regression

1982 ◽  
Vol 19 (3) ◽  
pp. 141-144 ◽  
Author(s):  
S P Gray
Keyword(s):  
Body Weight ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Multiple Regression ◽  
Therapeutic Range ◽  
Drug Dosage ◽  
The Body ◽  
Clinical Value ◽  
Number Of Patients ◽  
The Relationship

Analysis of plasma phenytoin in a group of patients treated for epilepsy showed that only 36% had values in the therapeutic range. The relationship between plasma phenytoin, body weight, and daily dosage of the drug were explored, and the data were analysed by multiple regression. The resultant equation, relating all three factors, was used to optimise drug dosage, and the importance of using the body weight of the patient before starting a phenytoin regimen is emphasised. An increase in the number of patients with plasma phenytoin in the therapeutic range was achieved, and the clinical value of being in that range is shown.

scholarly journals Variability in blood lipid affects the neutrophil to lymphocyte ratio in patients who have undergone elective percutaneous coronary intervention: A retrospective study

2020 ◽  
Author(s):  
Liding Zhao ◽  
Tian Xu ◽  
Ya Li ◽  
Yi Luan ◽  
Qingbo Lv ◽  
...  
Keyword(s):  
Risk Factors ◽  
Linear Regression ◽  
Subgroup Analysis ◽  
Blood Lipid ◽  
Total Sample ◽  
Multivariate Linear Regression ◽  
Neutrophil To Lymphocyte Ratio ◽  
P Value ◽  
Lymphocyte Ratio ◽  
The Relationship

Abstract Background Atherosclerosis is associated with chronic inflammation and lipid metabolism. The neutrophil to lymphocyte ratio (NLR) as an indicator of inflammation has been confirmed to be associated with cardiovascular disease prognosis. However, few studies have explored the effects of blood lipid variability on NLR. We aimed to explore the relationship between variability in blood lipid levels and NLR. Methods The association between variability in blood lipids and NLR was assessed with both univariate and multivariate linear regression. Multivariate linear regression was also performed for a subgroup analysis. Results The variability of HDL-C ([ꞵ] 4.008, SE 0.503, p-value<0.001) and LDL-C ([ꞵ] 0.626, SE 0.164, p-value<0.001) were risk factors for the NLR value, although baseline LDL-C and HDL-C were not risk factors for NLR values. Variability of HDL-C ([ꞵ] 4.328, SE 0.578, p-value<0.001) and LDL-C ([ꞵ] 0.660, SE 0.183, p-value<0.001) were risk factors for NLR variability. Subgroup analysis demonstrated that the relationship between variability of LDL-C and NLR was consistent with the trend of the total sample for those with or without diabetes mellitus, controlled blood lipid, statins, atorvastatin or rosuvastatin. The relationship between the variability of HDL-C and NLR was consistent with the trend of the total sample in all subgroups. Conclusion The variability of HDL-C and LDL-C are risk factors for the value and variability of NLR, while the relationship between variability of HDL-C and NLR is more stable than the variability of LDL-C in the subgroup analysis.

scholarly journals Evaluation of Picker Discomfort and Its Impact on Maintaining Strawberry Picking Quality

2021 ◽  
Vol 11 (24) ◽  
pp. 11836
Author(s):  
Piotr Komarnicki ◽  
Łukasz Kuta
Keyword(s):  
Surface Pressure ◽  
The Body ◽  
Strawberry Fruit ◽  
Compression Tests ◽  
Harvesting Technique ◽  
Negative Effect ◽  
The Relationship ◽  
Pressure Measurement System

In this paper, the authors present the relationship between the assumptions of ergonomics in the work of a strawberry picker and quality of picked fruit. The body posture that a person adopts while working has a significant impact on their health, working comfort, and productivity, but also on the quality of the fruit that is harvested. This paper identifies three characteristic picker positions during strawberry harvesting. A synchronized surface electromyography (sEMG) instrument together with the Tekscan® surface pressure measurement system allowed for the determination of the influence of working position on changes in the load of the picker’s musculoskeletal system and the surface pressure exerted on the fruit during manual strawberry picking, which are decisive factors for maintaining fruit quality. In addition, compression tests on whole strawberry fruit were carried out as a benchmark to evaluate and compare the maximum forces as well as the destructive pressures on the fruit. From the tests, we found that the most comfortable position of the worker’s body was determined along with the harvesting technique (position during work) that has the least negative effect on the quality of the harvested fruit. Consequently, the level of dynamic load on the worker was determined.

scholarly journals PENGARUH KOMPOSISI PEMBIAYAAN NON BAGI HASIL DAN FINANCING TO DEPOSIT RATIO (FDR)TERHADAP PROFITABILITAS PADA PT BANK MUAMALAT INDONESIA TAHUN 2012-2016

2020 ◽  
Vol 6 (3) ◽  
pp. 477
Author(s):  
Renanda Rosita Wibowo ◽  
Dian Filianti
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Profit Sharing ◽  
Return On Assets ◽  
Non Profit ◽  
Negative Effect ◽  
Relationship Of ◽  
The Relationship

The purpose of this study is to analyze the relationship of non profit sharing and FDR to profitability in PT Bank Muamalat Indonesia. The approach used is a quantitative using multiple linear regression analysis techniques. The results of this study indicate that partially non-profit sharing is not significant to ROA, partially FDR has a significant negative effect to ROA, non profit sharing and FDR simultaneously significant effect to ROA at PT Bank Muamalat Indonesia.Keywords: Non profit sharing, Financing to Deposit Ratio, Return On Assets, multiple linear regression

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