Growth chart design

1988 ◽  
Vol 55 (S1) ◽  
pp. S26-S29 ◽  
Author(s):  
John O’Malley Burns ◽  
Rolf C. Carriere ◽  
Jon E Rohde
Keyword(s):  
Growth Chart ◽  
Chart Design

Growth chart design

1989 ◽  
Vol 56 (4) ◽  
pp. 555-555
Author(s):  
Daljlt Singh ◽  
Tejinder Singh
Keyword(s):  
Growth Chart ◽  
Chart Design

Z-score standard growth chart design of toddler weight using least square spline semiparametric regression

2021 ◽  
Author(s):  
Nur Chamidah ◽  
Budi Lestari ◽  
Anies Y. Wulandari ◽  
Lailatul Muniroh
Keyword(s):  
Semiparametric Regression ◽  
Least Square ◽  
Growth Chart ◽  
Z Score ◽  
Chart Design

Advances in Growth Chart Design and Use: The UK Experience

2013 ◽  
pp. 66-74 ◽  
Author(s):  
Charlotte M. Wright ◽  
Anthony F. Williams ◽  
Tim J. Cole ◽  
Keyword(s):  
Growth Chart ◽  
Chart Design ◽  
The Uk

A Correspondence-Free Color Chart Design for Color Calibration

2020 ◽  
Vol 2020 (1) ◽  
pp. 100-104
Author(s):  
Hakki Can Karaimer ◽  
Rang Nguyen
Keyword(s):  
Color Space ◽  
Fixed Number ◽  
New Approach ◽  
Color Chart ◽  
Color Calibration ◽  
Space Transformation ◽  
Color Space Transformation ◽  
Chart Design ◽  
Calibration Approach

Colorimetric calibration computes the necessary color space transformation to map a camera's device-specific color space to a device-independent perceptual color space. Color calibration is most commonly performed by imaging a color rendition chart with a fixed number of color patches with known colorimetric values (e. g., CIE XYZ values). The color space transformation is estimated based on the correspondences between the camera's image and the chart's colors. We present a new approach to colorimetric calibration that does not require explicit color correspondences. Our approach computes a color space transformation by aligning the color distributions of the captured image to the known distribution of a calibration chart containing thousands of colors. We show that a histogram-based colorimetric calibration approach provides results that are onpar with the traditional patch-based method without the need to establish correspondences.

Prevalence of obesity and its risk factors among school children in Karachi, Pakistan

2018 ◽  
Vol 48 (4) ◽  
pp. 266-269 ◽  
Author(s):  
Naveed Mansoori ◽  
Nighat Nisar ◽  
Naveen Shahid ◽  
Syed Muhammad Mubeen ◽  
Shahid Ahsan
Keyword(s):  
Risk Factors ◽  
School Children ◽  
Dietary Habits ◽  
Overweight And Obesity ◽  
Growth Chart ◽  
Sociodemographic Characteristics ◽  
Cross Sectional ◽  
Factors Influencing ◽  
Private And Public ◽  
Prevalence Of Obesity

A cross-sectional questionnaire study was conducted during 2012 in private and public-sector schools of Karachi to determine the prevalence and factors influencing overweight and obesity among school children (aged 11–15 years). Sociodemographic characteristics and dietary habits were explored. The CDC Growth Chart was used to record height and weight. Of a total of 887 children, being overweight and frankly obese was found in 169 (19.1%) and 96 (10.8%), respectively. Of these, 176 (66.4%) were from private schools, and significant associations were found in 202 (76.2%) who were spending > 2 h/day watching television and 139 (52.5%) sleeping > 8 h/day.

The difference of physical fitness of short stature children with and without Channa striata extract (CSE) supplementation

2021 ◽  
Vol 8 (2) ◽  
pp. 166-171
Author(s):  
Maria Mexitalia ◽  
Arif Faiza ◽  
Mohammad Syarofil Anam ◽  
Anindita Soetadji
Keyword(s):  
Physical Activity ◽  
Physical Fitness ◽  
Short Stature ◽  
Pearson Correlation ◽  
Hemoglobin Level ◽  
Activity Level ◽  
Step Test ◽  
Growth Chart ◽  
Channa Striata ◽  
The Difference

Background: Physical fitness affected by aortic elasticity which is increased appropriately with insuline growth factor-1 (IGF-1). Channa striata extract (CSE) supplementation increased arginine serum level and further lead to increase of IGF-1, endothelial dysfunction remodeling, and physical fitness. The current study aimed to explore the difference of physical fitness of short stature children with and without CSE supplementation. Method: This cross sectional study conducted to 100 short stature children (male 58; female 42; CSE 50; placebo 50) aged 8-12 years in Brebes, Central Java Indonesia. Short stature was defined as the height/age Z score between -2 and -3 based on WHO 2007 growth chart standard. Physical fitness was measured by modified Harvard step test as stated as VO2max, physical activity by physical activity record and stated as physical activity level (PAL). Data was analyzed by independent t-test and Pearson correlation. Results: VO2max level was higher in CSE 41.67 ± 6.967 ml/kg/minutes and placebo 41.16 ± 5.238 mL/kg/minutes, p=0.682. Hemoglobin level was higher in CSE than placebo (13.12 ± 0.932; 12.99 ± 0.878) g/dL; p=0.5020. All children revealed active category on PAL. The results showed a significant relationship between PAL and physical fitness, hemoglobin and PAL on CSE (p<0.05), however there was no correlation between hemoglobin level and physical fitness. Conclusion: Physical fitness in short stature children with CSE supplementation or placebo was good category. There was no differences between hemoglobin level and PAL in both of groups. There was no difference between physical fitness in short stature children with CSE supplementation or placebo.  Keywords: physical fitness, short stature, physical activity, hemoglobin level

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