The Gracilis-Semitendinosus Indeks

Aim: According to the ethnic demographical backgrounds, gracilis(G), and semitendinosus(ST) tendon antropometric properties may vary among the individuals of Turkish and active sporter patient populations. In this study, aimed was to define the G and ST tendon proportional anatomical corellations intraoperatively prior to graft harvesting that are uniquely specific to the Turkish ethnicity. Materials-Methods: The study was begun with 50 active sporting patients who were undergone arthroscopic graft anterior cruciate ligament hamstring tendon reconstruction(aACLHTR) in 2013-2014 at our institution. 15 patients were excluded due to premature graft ruptures, and not meeting the minimum of 4hrs/w active sporting criteria. This retrospective cohort was conducted with a total of 35 knees. Inclusion criteria were; Turkish ethnicity, having been undergone aACLHTR between 2013-2014, having been at an age of 16-50 years, having eligible intraoperative antropometric records, having consistent postoperative follow-ups, having been diagnosed to have complete ACL tear, having no ipsilateral/contralateral, congenital/acquired limb deformities or trauma, surgery or lymphedema history. Exclusion criteria were unwillingness to give written consent, having been a premature graft rupture during harvesting, having insufficient data recordings to meet the eligibility criteria. All the surgeries were performed by one senior surgeon who was blind to the study. All the demographical data, and measurements were recorded by a research assistant who was blind to the study. Pearson correlation coefficients were calculated to detect linear relationship between numerical variables. Beta coefficients were estimated by univariate linear regression analysis. All analysis were performed by using SPSS for windows version 22.0 considering the P<0.05 as statistically significant. Results: Mean age 29.9±8.3, Female/Male ratio %8.6/91.4, Right/Left ratio %68.6/31.4, Mean BMI 27.2±4.5, Mean limb length 87.8±6.4 Mean ST length 26.8±2.1, Mean G length 24.06±2.2, Mean ST thickness 6mm±0.9, Mean G thickness 4.5±0.8. ST-G thickness, and ST-G length correlations were r=0.754, p=0.001, r=0.614, p=0.001 respectively. Univariate linear regression analysis revealed statistically significant relationships; 56.8% of variation in G thickness was explained by ST. 1 mm increase in ST thickness resulted in 0.68 mm increase in G thickness, and 37.7% of variation in G length was explained by ST. 1 mm increase in ST length resulted in 0.68 mm increase in G length. Conclusions: With the ST-G index, surgeons would be intraoperatively able to template aACLHTR with a more durable, and adequate planning of hamstring graft construct combination unique to sporters’ demographic specifics, and to sports’ biomechanical specifics. Thus, the possiblity of antropometrically inadequate graft combinations would be precautioned. [Figure: see text]

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Analysing Enabling Factors Affecting the On-site Productivity in Indian Construction Industry

Periodica Polytechnica Architecture ◽

10.3311/ppar.12710 ◽

2018 ◽

Vol 49 (2) ◽

pp. 185-193 ◽

Cited By ~ 5

Author(s):

Saurav Dixit

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Reliability Analysis ◽

Construction Industry ◽

Pearson Correlation ◽

Linear Regression Analysis ◽

Research Paper ◽

Site Productivity ◽

Factors Affecting ◽

Construction Productivity

The growth in construction productivity is low and do not continue for a long span of time. The purpose of the present research paper is to analyse the factors affecting on-site construction productivity in Indian construction industry. The tools used for the analysis are reliability analysis to check the consistency of the data, Pearson correlation analysis to mathematically validate the factor analysis, and linear regression analysis to propose a framework of factors affecting construction productivity. The findings of the reliability analysis concludes that the all the factors having a value of more than 0.67, which is considered to be good for the study, and the findings of the study conclude that the most significant 3 attributes grouped in linear regression analysis change in scope (R2), revision in drawings (R15), and response to change orders (R3) having maximum impact over the construction productivity. The research paper attempts to provide an insight and better understanding of the factors affecting on-site construction productivity in India and the ways and means to control and improve construction productivity of construction projects."This paper is the revised version of the paper that has been published in the proceedings of the Creative Construction Conference 2018: Dixit, S., Mandal, S. N., Thanikal, J. V, & Saurabh, K. (2018). Critical Analysis of Factors Affecting the on-site Productivity in Indian Construction Industry, (July), 38–45. https://doi.org/10.3311/CCC2018-006"

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Cephalometric Floating Norms as a Guide toward a Harmonious Individual Craniofacial Pattern among Filipinos

The Angle Orthodontist ◽

10.2319/091408-478r.1 ◽

2009 ◽

Vol 79 (6) ◽

pp. 1162-1168 ◽

Cited By ~ 6

Author(s):

Marian Almyra Sevilla-Naranjilla ◽

Ingrid Rudzki-Janson

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Standard Error ◽

Pearson Correlation ◽

Linear Regression Analysis ◽

Regression Equations ◽

Correlated Variables ◽

The Individual

Abstract Objective: To construct a harmony box based on correlated cephalometric variables, which may serve as a valuable diagnostic tool in orthodontic treatment planning, by analyzing the harmonious relationships of existing individual craniofacial patterns among Filipinos. Materials and Methods: Eighty-one subjects, 37 females and 44 males, were selected from the student population of a University according to established inclusion criteria. Five cephalometric angular measurements were obtained and digitized. Pearson correlation coefficients described the high association among the five variables. The bivariate linear regression analysis was used to construct a harmony box, which contained the cephalometric floating norms of the five correlated variables. Multiple regression analysis and the standard error of the estimate were calculated to construct the harmony schema, which describes the individual craniofacial pattern. Results: Correlations between the five variables were significant at .001 and .05 levels. Linear regression equations with corresponding r2 and standard error of the estimate (SE) were illustrated as the harmony box. The multiple correlation coefficient R, the adjusted R2, and the SE when one of the five measured variables was predicted from the remaining four by means of a multiple regression analysis were displayed as the harmony schema. Conclusion: The cephalometric floating norms describing the individual craniofacial pattern among Filipinos were established based on five correlated variables in the form of a harmony box.

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Effect of sex class on the levels of some biochemical variables in thalassemia patients

Tikrit Journal of Pure Science ◽

10.25130/j.v24i6.879 ◽

2019 ◽

Vol 24 (6) ◽

pp. 1

Author(s):

Khalaf N. Mohammed ◽

Mossa M. Marbut

Keyword(s):

Regression Analysis ◽

Growth Factor ◽

Linear Regression ◽

Linear Regression Analysis ◽

Correlation Coefficients ◽

Control Group ◽

Simple Linear Regression ◽

Positive Direction ◽

Males And Females ◽

And Control

The study was conducted at Azadi Teaching Hospital - Thalassemia Center for the period from 1/10/2017 to 1/4/2018. It included 60 patients including 30 males and 30 females, as well as control group which included 20 Healthy people were all 10 to 21 years of age. The following variables were studied: ferritin, GSH, insulin-like growth factor-1 (IGF-1) Malondialdehyde (MDA) Interleukin-6 (IL-6), and Cortisol. The analysis of correlation coefficients and simple linear regression was carried out to determine the effect of the variables among them. The results were as follows: Thalassemia patients recorded the lowest levels of GSH, IGF-1 and cortisol at 2.2 μmol / L and 50.4 ng / ml and 10.11 μg / dL respectively, while the same group recorded the highest levels of ferritin, MDA and IL- 6 was 3083 ng / ml, 941 mmol / L and 368 pg / mol. There were significant effects of both sexes in the group of thalassemia patients in both ferritin, GSH, IGF-1, MDA, and IL-6 with 2573, 3592 μg / dL, 2.821, 1.573 μmol / L, 63.3, 37.47 ng / ml and 1163.1 719.3 mmol / L 300.9 and 435.6 pg / mol for males and females, respectively. The results of the correlation coefficient analysis showed existence of and low correlations in the negative and positive direction between the study variables of the two groups of patients and control. The results of the simple linear regression analysis showed positive and negative regression ratios of IL-6 and IGF-1 growth factor on the rest of the study variables. http://dx.doi.org/10.25130/tjps.24.2019.101

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Correlation Between Student Performances on Course Level Integrated Clinical Skills Examinations and Objective Structured Clinical Examinations in a Chiropractic College Program

Journal of Chiropractic Education ◽

10.7899/jce-10-026 ◽

2012 ◽

Vol 26 (2) ◽

pp. 138-145

Author(s):

Brent S. Russell ◽

Kathryn T. Hoiriis ◽

Joseph Guagliardo

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Student Performance ◽

Clinical Skills ◽

Linear Regression Analysis ◽

Correlation Coefficients ◽

Multiple Linear Regression Analysis ◽

Strong Positive Correlation ◽

Objective Structured Clinical Examinations ◽

Upper Level

Purpose: This retrospective study measured correlation of student performance between 2 objective structured clinical examinations (OSCEs) and an introductory integrated clinical skills course that preceded the OSCEs. The hypothesis was that there would be a strong, positive correlation between the earlier level examinations and the upper level OSCE, high enough that earlier examinations could be viewed as predictors of upper level OSCE performance. Methods: Using student scores for 5 academic terms of upper level OSCEs for 2008–2009 (n = 208) and respective earlier scores, correlation coefficients were calculated for the upper level OSCE and Clinical Skills course, and upper and lower level OSCEs. Multiple linear regression analysis was used to evaluate how well the lower level OSCE and clinical skills scores, both as lone and combined independent variables, predicted the upper level OSCE scores. Results: There was at least a moderate correlation between both sets of scores: r = .51 (p < .001) between upper level OSCE and clinical skills course, r = .54 (p < .001) between the upper and lower level OSCEs. A combination of clinical skills and lower level OSCE scores suggested a moderate prediction of upper level OSCE scores (R2 = .38.) Conclusions: Correlations were found to be of at least a moderate level. According to linear regression analysis, a combination of the earlier scores was moderately predictive for the upper level OSCE. More research could be done to determine additional components of student performance.

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Analysis of the Production Components in the Soybean Crop in the Last Two Decades in the State of Parana and Brazil

Journal of Experimental Agriculture International ◽

10.9734/jeai/2019/v37i630284 ◽

2019 ◽

pp. 1-7

Author(s):

Norma Schlickmann Lazaretti ◽

Patrícia Clemente Abraão ◽

Tatiane Calandrino Da Mata ◽

Kerolém Prícila Sousa Cardoso ◽

Noélle Khristinne Cordeiro ◽

...

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Correlation Analysis ◽

Pearson Correlation ◽

Linear Regression Analysis ◽

The State ◽

Agricultural Crop ◽

Simple Linear Regression ◽

Soybean Crop ◽

Simple Linear Regression Analysis

Introduction: Soy is an agricultural crop that has great economic importance. The analysis considering the cultivated area, the production and the yield of grains contributes to research and transfer of technology to the producers. Aims: To adjust the mathematical model using simple linear regression analysis and correlation between the variables of planted area, production and productivity, in the state of Paraná and Brazil, in the last two decades. Study Design: Data collection and research of information on the cultivation of soybeans in the state of Paraná and in Brazil on official websites Place and Duration of Study: State University of Western Paraná, Post-Graduation in Agronomy, between July 2018 and December 2018. Methodology: Data were obtained from the Portal of the Brazilian Institute of Geography and Statistics between 1997 and 2017. Simple linear regression analysis and Pearson correlation analysis were used. Results: By analyzing the results, it is possible to observe significant increases in soybean production in both Paraná and Brazil over this 20-year period. Paraná achieved a 205% increase in planted area, 290% in production and 141% in average yield. Conclusion: The simple linear regression and correlation analysis showed an adjustment between the cultivated area, the production and the average productivity in the soybean crop in the period from 1997 to 2017.

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Relationship between Particulate Matter (PM10) and Airway Inflammation Measured with Exhaled Nitric Oxide Test in Seoul, Korea

Canadian Respiratory Journal ◽

10.1155/2020/1823405 ◽

2020 ◽

Vol 2020 ◽

pp. 1-7

Author(s):

Juwhan Choi ◽

Jae Kyeom Sim ◽

Jee Youn Oh ◽

Young Seok Lee ◽

Gyu Young Hur ◽

...

Keyword(s):

Nitric Oxide ◽

Regression Analysis ◽

Particulate Matter ◽

Linear Regression ◽

Airway Inflammation ◽

Pearson Correlation ◽

Linear Regression Analysis ◽

Exhaled Nitric Oxide ◽

Healthy People ◽

Multivariate Linear Regression Analysis

Purpose. Particulate matter (PM) is increasing every year in Asia. It is not fully understood how the airway is affected when inhaling PM. We investigated the correlation between particulate matter with a diameter of less than 10 μm (PM10) and fractional exhaled nitric oxide (FeNO) to determine whether PM causes airway inflammation. Material and Methods. We analyzed patients who visited our outpatient clinic and tested FeNO from January 2016 to December 2017 at the Korea University Guro Hospital. PM10 data were provided by the government of the Republic of South Korea, and measuring station of PM10 is located 800 meters from the hospital. We analyzed the correlation between PM10 and FeNO by a Pearson correlation analysis and by a multivariate linear regression analysis. To identify the most correlated times, we analyzed the correlation between the FeNO and PM10 daily average from the day of visit to 4 days before visit. Results. FeNO positively correlated with PM10 at two days before hospital visit in the Pearson correlation (Pearson correlation coefficient = 0.057; P-value = 0.023) and in the multivariate linear regression analysis (B = 0.051, P-value = 0.026). If the PM10 increased by 100 μg/m3, the FeNO result was expected to rise to 8.3 ppb in healthy people without respiratory disease. Conclusion. The positive correlation was found in both healthy people and asthmatic patients. Therefore, PM10 can increase airway inflammation.

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Evaluation of the predictive power of job satisfaction by sleep quality and Morningness –eveningness types in nurses of academic centers in urmia 2019

Occupational Hygiene and Health Promotion ◽

10.18502/ohhp.v4i2.3985 ◽

2020 ◽

Author(s):

Masumeh HEMMATI MASLAK PAK ◽

Farzin MOLLAZADEH ◽

Hossein JAMSHIDI ◽

Mohadeseh AMINI

Keyword(s):

Job Satisfaction ◽

Regression Analysis ◽

Linear Regression ◽

Sleep Quality ◽

Correlation Coefficient ◽

Predictive Power ◽

Pearson Correlation ◽

Linear Regression Analysis ◽

Teaching Hospitals ◽

Pearson Correlation Coefficient

Introduction: Nurses' job satisfaction is a serious issue for health care systems so that decreased job satisfaction can cause problems for nurses and health systems. Job satisfaction can be affected by sleep quality and the morningness- eveningness preference (chronotypes) of nurses. The present study aimed to determine the predictive power of job satisfaction by sleep quality and morningness-eveningness chronotypes of nurses working in Urmia teaching hospitals in 2020. Methods: A total of 327 nurses working in teaching hospitals affiliated to Urmia University of Medical Sciences were enrolled in the study. Sampling was conducted using simple random method. Data were collected using Demographic information questionnaires, Pittsburgh Sleep Quality Index, Minnesota Satisfaction Questionnaire, and Composite Scale of Morningness. Data were analyzed using descriptive statistics, measures of central tendency, Pearson correlation coefficient, independent samples t-test, two-way ANOVA, and linear regression analysis. All statistical analysis were conducted using SPSS software version 16.0 (SPSS Inc., Chicago, Ill., USA). Results: The results of linear regression analysis and Pearson correlation coefficient indicated that there is a significant correlation between the job satisfaction and the sleep quality in nurses as an improvement in sleep quality leads to higher job satisfaction (P <0.01) and the sleep quality is one of the predictors of job satisfaction (P = 0.002). However, there was no significant correlation between the nurses’ job satisfaction and their morningness-eveningness chronotypes (P> 0.01). Conclusion: Nurses with higher levels of sleep quality have higher job satisfaction, although the morningness-eveningness chronotypes of nurses have no significant effect on their job satisfaction.

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Multiply Regression Analysis as An Integrated Approach in the TB Indicators Assessment in the Republic of Crimea

Medicina ◽

10.29234/2308-9113-2021-9-2-100-112 ◽

2021 ◽

Vol 9 (2) ◽

pp. 100-112

Author(s):

T. N. Golubova ◽

◽

N. M. Ovsyannikova ◽

Z. R. Makhkamova ◽

I. Yu. Tkachenko ◽

...

Keyword(s):

Regression Analysis ◽

Pearson Correlation ◽

Linear Regression Analysis ◽

Correlation Coefficients ◽

Integrated Approach ◽

Regression Equations ◽

The Republic ◽

Multiple Correlation Coefficients ◽

High Degree ◽

Paired Correlation

The use of multiply regression analysis for the TB indicators assessment and prediction in the Republic of Crimea is discussed. Basic TB indicators in the Republic of Crimea for the period 2014-2018 were studied using Pearson correlation coefficient and step-by-step multiply linear regression analysis. During paired correlation analysis, dependable association with an average and high degree is identified for the most indicators of interest. The multiple correlation coefficients were higher than the paired correlation coefficients, which demonstrated the greater significance of the group conditionality of the indicators. For key epidemiological TB indicators the regression equations are constructed and the most relevant predictors are found using stepwise multiply regression analysis. The regression equations for TB incidence, prevalence and mortality rates are proposed for practical applying to predict epidemiological situation.

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Effect of Patient Height and Sex on the Patellar Tendon and Anterior Cruciate Ligament

Orthopaedic Journal of Sports Medicine ◽

10.1177/23259671211003244 ◽

2021 ◽

Vol 9 (5) ◽

pp. 232596712110032

Author(s):

Abigail L. Campbell ◽

Jon-Michael E. Caldwell ◽

Dheeraj Yalamanchili ◽

Lia Sepanek ◽

Keon Youssefzadeh ◽

...

Keyword(s):

Anterior Cruciate Ligament ◽

Regression Analysis ◽

Linear Regression ◽

Acl Reconstruction ◽

Patellar Tendon ◽

Cruciate Ligament ◽

Linear Regression Analysis ◽

Female Patients ◽

Male Patients ◽

Anterior Cruciate

Background: Graft-tunnel mismatch is an avoidable complication in anterior cruciate ligament (ACL) reconstruction. Patient height and sex may be predictors of patellar tendon length (PTL) and intra-articular ACL length (IAL). Understanding these relationships may assist in reducing graft-tunnel mismatch during ACL reconstruction with bone–patellar tendon–bone (BTB) autograft. Purpose: To determine the association of patient height and sex with PTL and IAL. Study Design: Cross-sectional study; Level of evidence, 3. Methods: Magnetic resonance imaging (MRI) studies were obtained on the healthy knees of 100 male and 100 female patients. Patients with prior surgery, open physes, significant degenerative changes, ACL rupture, or extensor mechanism injury were excluded. Three independent readers measured PTL, IAL, and Caton-Deschamps Index (CDI) on MRI. Bivariate and linear regression analysis was performed to detect the association of anthropometric data with anatomic parameters measured on MRI studies. Results: The mean age and body mass index were not significantly different between the male and female patients; however, male patients were significantly taller than female patients (1.75 vs 1.72 m, respectively; P < .001). There was a substantial agreement between the 3 readers for all parameters (κ > 0.75). Overall, female patients had significantly longer PTL (47.38 vs 43.92 mm), higher CDI (1.146 vs 1.071), and shorter IAL (33.05 vs 34.39 mm) ( P < .001 for all). Results of the linear regression analysis demonstrated that both height and female sex were predictive of longer PTL. Further, height was independently predictive of IAL but sex was not. Conclusion: PTL was correlated more with patient sex than height. IAL was also correlated with patient sex. Longer BTB grafts are expected to be harvested in female patients compared with male patients of the same height despite shorter IAL. These associations should be considered during BTB ACL reconstruction to minimize graft-tunnel mismatch.

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Anxiety and Fear of Falling in Older Adults With Fall-related Orthopedic Surgery

Salmand ◽

10.32598/sija.15.4.2968.1 ◽

2021 ◽

Vol 15 (4) ◽

pp. 506-523

Author(s):

Farideh Bastani ◽

◽

Saeede Hajaty ◽

Raziye Sadat Hoseini ◽

◽

...

Keyword(s):

Older Adults ◽

Regression Analysis ◽

Linear Regression ◽

Orthopedic Surgery ◽

Fear Of Falling ◽

Pearson Correlation ◽

Linear Regression Analysis ◽

Correlation Test ◽

Pearson Correlation Test ◽

History Of

Objectives: Old age is associated with various health threats, including falls which have psychological, physical, and social consequences. One of these consequences is the fear of falling especially after orthopedic surgery. This study aims to evaluate the fear of falling and anxiety in older adults with a history of fall-related orthopedic surgery. Methods & Materials: In this descriptive-correlational study with cross-sectional design, 280 older people with a history of fall-related orthopedic surgery referred to the selected hospitals affiliated to Iran University of Medical Sciences were selected using a convenience sampling method. Data collection tools were a demographic form, the Abbreviated Mental Test (AMT), the Fall Efficacy Scale-International (FES-I), and the subscale of Anxiety from the Depression, Anxiety and Stress Scale-21 (DASS-21). Data were analyzed using descriptive and inferential statistics such as independent t-test, Pearson correlation test, one-way ANOVA, and linear regression analysis in SPSS v. 20 considering a significance level of P≤ 0.05. Results: The Mean±SD age of participants was 69.50±4.29 years and 65% were female. Most of them (99%) reported a high fear of falling level; 47.9% reported moderate anxiety and 26% reported severe to very severe level of anxiety. Their Mean±SD anxiety score (11.88±4.18) was higher than the cut-off point (10). Anxiety was significantly correlated with gender, educational level, marital status, history of fallinh, and history of chronic diseases (P<0.05). According to the results of Pearson correlation test, There was a statistically significant direct correlation between fear of falling and anxiety (r= -0.254, P=0.001). According to the results of linear regression analysis, being female had the greatest effect on anxiety (β=0.183), while being female and single, having good economic status, and living with spouse had the greatest effect on the fear of falling (β=0.236, 0.545, 0.047, and 0.545, respectively). Conclusion: Fear of falling seems to be high in older adults with a history of fall-related orthopedic surgery. Given the adverse consequences of the fear of falling and the high prevalence of anxiety in these people, it is recommended that counseling programs be provided for them at the time of discharge from the hospital.

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