scholarly journals Investigating the Influential Factors on Body Weight and Its Impact on Glucoses Using GH-Method: Math-Physical Medicine (No. 327)

2020 ◽  
pp. 1-3
Author(s):  
Gerald C Hsu ◽  
Keyword(s):  
Body Weight ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Influential Factors ◽  
Pearson Correlation Coefficient ◽  
Physical Medicine ◽  
Degree Of Association

The author attempts to identify three major and two secondary influential factors of body weight along with its impact on six different glucose components using Pearson correlation coefficient “R” of statistics to calculate different degree of association between two datasets. This investigation utilized the daily weight and glucose data in conjunction with six lifestyle details, including food, exercise, water, sleep, and weather temperature, during a period of ~6 years from 1/1/2015 to 9/11/2020

scholarly journals Is there really a proportional relationship between VO2max and body weight? A review article

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261519
Author(s):  
Jay Lee ◽  
Xiuli Zhang
Keyword(s):  
Body Weight ◽  
Correlation Coefficient ◽  
Dimensional Analysis ◽  
Pearson Correlation ◽  
Pearson Correlation Coefficient ◽  
Allometric Model ◽  
Statistics Analysis ◽  
Image Position ◽  
The Relationship ◽  
Ratio Scaling

Maximum oxygen uptake (VO2max) is a “gold standard” in aerobic capacity assessment, playing a vital role in various fields. However, ratio scaling (VO2maxbw), the present method used to express relative VO2max, should be suspected due to its theoretical deficiencies. Therefore, the aim of the study was to revise the quantitative relationship between VO2max and body weight (bw). Dimensional analysis was utilized to deduce their theoretical relationship, while linear or nonlinear regression analysis based on four mathematical models (ratio scaling, linear function, simple allometric model and full allometric model) were utilized in statistics analysis to verify the theoretical relationship. Besides, to investigate the effect of ratio scaling on removing body weight, Pearson correlation coefficient was used to analyze the correlation between VO2maxbw and bw. All the relevant data were collected from published references. Dimensional analysis suggested VO2max be proportional to bw23. Statistics analysis displayed that four mathematical expressions were VO2max = 0.047bw (p<0.01, R2 = 0.68), VO2max = 0.036bw+0.71 (p<0.01, R2 = 0.76), VO2max = 0.10bw0.82 (p<0.01, R2 = 0.93) and VO2max = 0.23bw0.66–0.48 (p<0.01, R2 = 0.81) respectively. Pearson correlation coefficient showed a significant moderately negative relation between VO2maxbw and bw (r = -0.42, p<0.01), while there was no correlation between VO2maxbw0.82 and bw (r = 0.066, p = 0.41). Although statistics analysis did not fully verify the theoretical result, both dimensional and statistics analysis suggested ratio scaling distort the relationship and power function be more appropriate to describe the relationship. Additionally, we hypothesized that lean mass, rather than body weight, plays a more essential role in eliminating the gap between theoretical and experimental b values, and is more appropriate to standardize VO2max, future studies can focus more on it.

scholarly journals Bafra Koyun ve Kuzularının Biyometrik Özelliklerinin İncelenmesi

2019 ◽  
Vol 7 (10) ◽  
pp. 1710
Author(s):  
Sezen Ocak Yetişgin
Keyword(s):  
Body Weight ◽  
Path Analysis ◽  
Correlation Coefficient ◽  
Body Length ◽  
Pearson Correlation ◽  
Live Weight ◽  
Chest Circumference ◽  
Pearson Correlation Coefficient ◽  
Weight Estimation

The aim of this study was to compare the effects of biometric properties of Bafra sheep and lambs such as chest depth, chest width, chest circumference, rump height, height at withers, body length and body weight. Relationships were determined by Pearson correlation coefficient and Path analysis. As a result, it has been shown that biometric properties of Bafra sheep and lambs provide different results on live weight estimation. In addition, the relationships between biometric properties were not similar (r = -0.16).

scholarly journals The validity of parental-reported body height and weight: a comparison with objective measurements of 7-8-year-old Czech children

2018 ◽  
Vol 81 (3) ◽  
pp. 278-288
Author(s):  
Zborilova Vendula ◽  
Pridalova Miroslava ◽  
Sigmundova Dagmar ◽  
Kaplanova Tereza
Keyword(s):  
Body Weight ◽  
Informed Consent ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Body Height ◽  
Measured Data ◽  
Pearson Correlation Coefficient ◽  
Parental Report ◽  
Anthropometric Measures ◽  
Parental Informed Consent

Abstract The values of body weight and height can be recorded in various ways. Self-reports and parental-report methods are amongst the most typical ways to collect data. These methods have advantages, but also limits. Anthropometric measures are recommended to improve measurement precision. The aim of this study was to investigate whether the parental-reported body weight and height of 7-8-year-old Czech children corresponded with the measured body weight and height. Data concerning children’s body weight and body height were collected via parental informed consent and anthropometric measurements. The research sample consisted of 388 children from 7 to 8 years-old (boys, n = 176; girls, n = 162). Only children with parental informed consent were included. Correlations between parental-reported and measured data were analysed with the Pearson correlation coefficient to examine the strength of linear dependence between the two methods. The differences between parental-reported and measured data were tested using the Wilcoxon signed-rank test. P-values below α = 0.05 were considered statistically significant. Parents manifested a tendency to underestimate body weight and especially the body height of their children. This trend was seen in boys and girls in both age groups. Out of the 338 children with parent-reported height, parents under-reported their child’s height by 1 cm or more in 37.1% of the children, 39.6% of the parents reported a height within 0.99 cm of the measured height, and 23.3% of parents over-reported their child’s height by 1 cm or more. The same number of children had parent-reported weights, parents under-reported their child’s weight by 1 kg and more in 25.2% of the children, 57.7% of the parents reported a weight within 0.99 kg of the measured weight, and 17.1% of the parents over-reported their child’s weight by 1 kg or more. The Pearson correlation coefficient between the measured and parental-reported height and weight revealed a statistically significant strong positive linear relationship in both genders (rheight = 0.912, rweight = 0.943; all p< 0.001). The differences between the measured and parental-reported height and weight were not significantly different (all p< 0.05). The high agreement and correlation between measured and parental-reported body height and weight suggest that parental-report methods can be an appropriate alternative to objective measurement and can be used as a valid tool to classify body height and weight for large population studies of Czech children in school-based research when anthropometric measures are not available.

Relationship between Invasive and Non-Invasive Hemodynamic Measures in Experimental Pulmonary Hypertension

2020 ◽  
Vol 16 (1) ◽  
pp. 47-53
Author(s):  
Vicente Benavides-Córdoba ◽  
Mauricio Palacios Gómez
Keyword(s):  
Heart Rate ◽  
Pulmonary Hypertension ◽  
Ejection Fraction ◽  
Right Ventricle ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Systolic Pressure ◽  
Control Group ◽  
Pearson Correlation Coefficient ◽  
Non Invasive

Introduction: Animal models have been used to understand the pathophysiology of pulmonary hypertension, to describe the mechanisms of action and to evaluate promising active ingredients. The monocrotaline-induced pulmonary hypertension model is the most used animal model. In this model, invasive and non-invasive hemodynamic variables that resemble human measurements have been used. Aim: To define if non-invasive variables can predict hemodynamic measures in the monocrotaline-induced pulmonary hypertension model. Materials and Methods: Twenty 6-week old male Wistar rats weighing between 250-300g from the bioterium of the Universidad del Valle (Cali - Colombia) were used in order to establish that the relationships between invasive and non-invasive variables are sustained in different conditions (healthy, hypertrophy and treated). The animals were organized into three groups, a control group who was given 0.9% saline solution subcutaneously (sc), a group with pulmonary hypertension induced with a single subcutaneous dose of Monocrotaline 30 mg/kg, and a group with pulmonary hypertension with 30 mg/kg of monocrotaline treated with Sildenafil. Right ventricle ejection fraction, heart rate, right ventricle systolic pressure and the extent of hypertrophy were measured. The functional relation between any two variables was evaluated by the Pearson correlation coefficient. Results: It was found that all correlations were statistically significant (p <0.01). The strongest correlation was the inverse one between the RVEF and the Fulton index (r = -0.82). The Fulton index also had a strong correlation with the RVSP (r = 0.79). The Pearson correlation coefficient between the RVEF and the RVSP was -0.81, meaning that the higher the systolic pressure in the right ventricle, the lower the ejection fraction value. Heart rate was significantly correlated to the other three variables studied, although with relatively low correlation. Conclusion: The correlations obtained in this study indicate that the parameters evaluated in the research related to experimental pulmonary hypertension correlate adequately and that the measurements that are currently made are adequate and consistent with each other, that is, they have good predictive capacity.

scholarly journals Bed-Based Ballistocardiography: Dataset and Ability to Track Cardiovascular Parameters

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 156
Author(s):  
Charles Carlson ◽  
Vanessa-Rose Turpin ◽  
Ahmad Suliman ◽  
Carl Ade ◽  
Steve Warren ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Stroke Volume ◽  
Systolic Blood Pressure ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Health Assessment ◽  
Initial Study ◽  
Pearson Correlation Coefficient ◽  
Medical Systems ◽  
Cardiovascular Parameters

Background: The goal of this work was to create a sharable dataset of heart-driven signals, including ballistocardiograms (BCGs) and time-aligned electrocardiograms (ECGs), photoplethysmograms (PPGs), and blood pressure waveforms. Methods: A custom, bed-based ballistocardiographic system is described in detail. Affiliated cardiopulmonary signals are acquired using a GE Datex CardioCap 5 patient monitor (which collects ECG and PPG data) and a Finapres Medical Systems Finometer PRO (which provides continuous reconstructed brachial artery pressure waveforms and derived cardiovascular parameters). Results: Data were collected from 40 participants, 4 of whom had been or were currently diagnosed with a heart condition at the time they enrolled in the study. An investigation revealed that features extracted from a BCG could be used to track changes in systolic blood pressure (Pearson correlation coefficient of 0.54 +/− 0.15), dP/dtmax (Pearson correlation coefficient of 0.51 +/− 0.18), and stroke volume (Pearson correlation coefficient of 0.54 +/− 0.17). Conclusion: A collection of synchronized, heart-driven signals, including BCGs, ECGs, PPGs, and blood pressure waveforms, was acquired and made publicly available. An initial study indicated that bed-based ballistocardiography can be used to track beat-to-beat changes in systolic blood pressure and stroke volume. Significance: To the best of the authors’ knowledge, no other database that includes time-aligned ECG, PPG, BCG, and continuous blood pressure data is available to the public. This dataset could be used by other researchers for algorithm testing and development in this fast-growing field of health assessment, without requiring these individuals to invest considerable time and resources into hardware development and data collection.

scholarly journals Assessment of the Dissimilarities of EDI and SPI Measures for Drought Determination in South Africa

Water ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 82
Author(s):  
Omolola M. Adisa ◽  
Muthoni Masinde ◽  
Joel O. Botai
Keyword(s):  
South Africa ◽  
South African ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Standardized Precipitation Index ◽  
Drought Monitoring ◽  
Drought Indices ◽  
Drought Severity ◽  
Pearson Correlation Coefficient ◽  
Drought Duration

This study examines the (dis)similarity of two commonly used indices Standardized Precipitation Index (SPI) computed over accumulation periods 1-month, 3-month, 6-month, and 12-month (hereafter SPI-1, SPI-3, SPI-6, and SPI-12, respectively) and Effective Drought Index (EDI). The analysis is based on two drought monitoring indicators (derived from SPI and EDI), namely, the Drought Duration (DD) and Drought Severity (DS) across the 93 South African Weather Service’s delineated rainfall districts over South Africa from 1980 to 2019. In the study, the Pearson correlation coefficient dissimilarity and periodogram dissimilarity estimates were used. The results indicate a positive correlation for the Pearson correlation coefficient dissimilarity and a positive value for periodogram of dissimilarity in both the DD and DS. With the Pearson correlation coefficient dissimilarity, the study demonstrates that the values of the SPI-1/EDI pair and the SPI-3/EDI pair exhibit the highest similar values for DD, while the SPI-6/EDI pair shows the highest similar values for DS. Moreover, dissimilarities are more obvious in SPI-12/EDI pair for DD and DS. When a periodogram of dissimilarity is used, the values of the SPI-1/EDI pair and SPI-6/EDI pair exhibit the highest similar values for DD, while SPI-1/EDI displayed the highest similar values for DS. Overall, the two measures show that the highest similarity is obtained in the SPI-1/EDI pair for DS. The results obtainable in this study contribute towards an in-depth knowledge of deviation between the EDI and SPI values for South Africa, depicting that these two drought indices values are replaceable in some rainfall districts of South Africa for drought monitoring and prediction, and this is a step towards the selection of the appropriate drought indices.

Use of Multiple Visits to Increase Blood Pressure Tracking Correlations in Childhood

PEDIATRICS ◽  
1991 ◽  
Vol 87 (5) ◽  
pp. 708-711
Author(s):  
Matthew W. Gillman ◽  
Bernard Rosner ◽  
Denis A. Evans ◽  
Laurel A. Smith ◽  
James O. Taylor ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Diastolic Blood Pressure ◽  
Correlation Coefficient ◽  
Diastolic Pressure ◽  
Pearson Correlation ◽  
Systolic Pressure ◽  
Pearson Correlation Coefficient ◽  
Increase Blood Pressure ◽  
Multiple Visit

Previous studies of childhood blood pressure have shown tracking correlations, which estimate the magnitude of association between initial and subsequent measurements, to be lower than corresponding adult values. Inasmuch as this disparity could arise from failing to account for a larger week-to-week variability in children, blood pressure was measured for 4 successive years, on four weekly visits in each year, and with three measurements at each visit, using a random-zero sphygmomanometer, in a cohort of 333 schoolchildren aged 8 through 15 at entry. Ninety percent of subjects had measurements in 1 or more years of follow-up. For all follow-up periods (1, 2, and 3 years from baseline), the Pearson correlation coefficient (r) for both systolic and diastolic blood pressure rose substantially with the number of weekly visits used to calculate each subject's yearly blood pressure (P &lt; .0001). For systolic pressure, the 3-year r values for 1, 2, 3, and 4 visits were .45, .55, .64, and .69, respectively. For diastolic pressure (Korotkoff phase 4), the corresponding values were .28, .41, .47, and .54. These higher multiple-visit estimates of tracking approximate published adult values and raise the possibility that prediction of adult blood pressure from childhood measurements may be improved by averaging readings from multiple weekly visits.

Algorithm for Eliminating Mismatched Points Based on Pearson Correlation Coefficient

2021 ◽  
Vol 58 (8) ◽  
pp. 0810025
Author(s):  
李硕 Li Shuo ◽  
韩迎东 Han Yingdong ◽  
王双 Wang Shuang ◽  
刘琨 Liu Kun ◽  
江俊峰 Jiang Junfeng ◽  
...  
Keyword(s):  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Pearson Correlation Coefficient
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