SOCR Data NIPS InfantVitK ShotData

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(Created page with '== SOCR Data - SOCR Body Density Data == ==Summary== This is a comprehensive dataset that lists estimates of the percentage of body fat determined by underwater weighing and…')
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== [[SOCR Data]] - SOCR Body Density Data ==
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== [[SOCR Data]] - SOCR Neonate Infant Pain Score (NIPS) Data (Vitamin K shots) ==
==Summary==
==Summary==
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This is a comprehensive dataset that lists estimates of the percentage of body fat determined by underwater weighing and various body circumference measurements for 252 men.
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These data include 79 babies (infants) in a control group (NC) and 79 babies in the intervention (Interv) group. The '''intervention''' group babies were held by their mothers prior to, and during the administering of the shot -- “Kangaroo Care”.  NIPS scores were recorded immediately after the shot was administered, after 30 seconds, one minute, and two minutes.
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==Background==
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Nurses at [http://www.northbay.org/ Northbay Healthcare] participate in an Evidence Based Practice (EBP) program.  The purpose of EBP is to research and implement improvements in nursing care, and then to gauge the success these changes using statistical methods.  In one study, they introduced changes in the way newborn babies are handled. The goal is to reduce pain experienced by the infants resulting from their [http://en.wikipedia.org/wiki/Vitamin_K vitamin K] shot.  Supervising nurses assessed a newborn's pain using a scale known as a [http://www.anes.ucla.edu/pdf/assessment_tool-nips.pdf Neonatal Infant Pain Score (NIPS)].  NIPS scores range from 0 to 7, and are obtained by observing the infant's bodily reactions.
==Classroom use of this data set==
==Classroom use of this data set==
[[Image:SOCR_Data_Dinov_BMI_062408_Fig1.png|150px|thumbnail|right| [http://www.stat.ucla.edu/%7Edinov/courses_students.dir/07/Fall/STAT13.1.dir/STAT13_notes.dir/BMI_Calculator.html Body Mass Index] ]]
[[Image:SOCR_Data_Dinov_BMI_062408_Fig1.png|150px|thumbnail|right| [http://www.stat.ucla.edu/%7Edinov/courses_students.dir/07/Fall/STAT13.1.dir/STAT13_notes.dir/BMI_Calculator.html Body Mass Index] ]]
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This data set can be used to illustrate multiple regression techniques. Accurate measurement of body fat is inconvenient/costly and it is  desirable to have easy methods of estimating body fat that are cost-effective and convenient.
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This data set can be used to illustrate (multivariate, logistic) [[SOCR_EduMaterials_AnalysesActivities| regression analyses]], [http://socr.ucla.edu/htmls/ana/ non-parametric tests], and diverse array of [[SOCR_EduMaterials_ChartsActivities|exploratory data analyses]].  
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References to the [http://apps.who.int/bmi/index.jsp BMI index by country/region] and [http://www.fao.org/docrep/004/Y3557E/y3557e13.htm#v per capita food consumption and undernourishment (calories)] may be appropriate when discussing BMI.
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==Siri's Equation==
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A variety of popular health books suggest that the readers assess their health, at least in part, by estimating their percentage of body fat. In Bailey (1994), for instance, the reader can estimate body fat from tables using their age and various skin-fold measurements obtained by using a caliper. Other texts give predictive equations for body fat using body  circumference measurements (e.g. abdominal circumference) and/or skin-fold measurements ([[SOCR_Data_BMI_Regression#References | Behnke and Wilmore, 1974, pp. 66-67; Wilmore, 1976, p. 247; or Katch and McArdle, 1977, pp. 120-132]]).
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Percentage of body fat for an individual can be estimated once body density has been determined. Siri (1956) assumes that the body consists of two components - lean body tissue and fat tissue.
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* Suppose we let:
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** ''D'' = Body Density (gm/cm<sup>3</sup>)
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** ''A'' = proportion of lean body tissue
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** ''B'' = proportion of fat tissue (A+B=1)
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** ''a'' = density of lean body tissue (gm/cm<sup>3</sup>)
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** ''b'' = density of fat tissue (gm/cm<sup>3</sup>)
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*Then, we have <math>D = {1 \over {A \over a} + {B\over b}}</math> and solving for ''B'' we find
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<math>B = {1\over D}\times{a b\over a-b} - {b\over a-b}</math>. Using the estimates ''a=1.10 gm/cm<sup>3</sup>'' and ''b=0.90 gm/cm<sup>3</sup>'' ([[SOCR_Data_BMI_Regression#References | Katch and McArdle, 1977, p. 111 or Wilmore, 1976, p. 123]]) we come up with '''Siri's equation''': Percentage of Body Fat <math>PBF = 100\times B = {495\over D} - 450</math>.
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==Estimation of Body Density (BD)==
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Volume, and hence body density, can be accurately measured a variety of ways. The technique of underwater weighing ''computes body volume as the difference
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between body weight measured in air and weight measured during water
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submersion. In other words, body volume is equal to the loss of weight in
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water with the appropriate temperature correction for the water's density'' (Katch and McArdle, 1977, p. 113). Using this technique, <math>BD = {WA\over {WA-WW\over CF} - LV}</math>, where
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* ''WA'' = Weight in air (kg)
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* ''WW'' = Weight in water (kg)
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* ''CF'' = Water correction factor. CF=1 at 4<sup>o</sup> C (Celsius) as one-gram of water occupies exactly one cm<sup>3</sup> of space, and CF=0.997 at 25<sup>o</sup> C)
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* ''LV'' = Residual Lung Volume (liters) [[SOCR_Data_BMI_Regression#References | Katch and McArdle (1977), p. 115]].
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Other methods of determining body volume are given in [[SOCR_Data_BMI_Regression#References | Behnke and Wilmore, 1974, p. 22]].
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==BMI Calculators==
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There are many body-mass-index calculators. Here are some examples:
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* [http://www.stat.ucla.edu/%7Edinov/courses_students.dir/07/Fall/STAT13.1.dir/STAT13_notes.dir/BMI_Calculator.html This BMI calculator] allows data in various formats and includes interpretations of the results.
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* [http://www.nutritiondata.com/tools/calories-burned This is a complex BMI calculator that also computes your daily burned calories (based on your life-style) and estimates your daily calorie intake].
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==Data Description==
==Data Description==
The body density dataset includes the following 15 variables listed from left to right:
The body density dataset includes the following 15 variables listed from left to right:
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* Density determined from underwater weighing
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* '''Index''': Index of the observation (random ordering within each group, group 1 followed by group 2)
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* Percent body fat from [[SOCR_Data_BMI_Regression#References | Siri's (1956) equation]]
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* '''Group_NC1_Interv2''': Index of the group: NC=1; Intervention=2
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* Age (years)
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* '''Immediate''': NIPS assessment of pain at time of vitamin K shot (t=0)
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* Weight (kg)
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* '''30_Sec_Later''': NIPS assessment of pain 30 seconds after the vitamin K shot (t=30)
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* Height (cm)
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* '''60_Sec_Later''': NIPS assessment of pain 60 seconds after the vitamin K shot (t=60)
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* Neck circumference (cm)
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* '''120_Sec_Later''': NIPS assessment of pain 120 seconds after the vitamin K shot (t=120)
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* Chest circumference (cm)
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* '''Total_Cry_Time''': The total try time (in seconds)
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* Abdomen 2 circumference (cm)
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* '''Cluster''': This is an automatically derived clustering measure using all variables except Group_NC1_Interv2 and based on [http://factominer.free.fr/ Hierarchical Clustering/FactoMineR algorithm].
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* Hip circumference (cm)
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* Thigh circumference (cm)
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* Knee circumference (cm)
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* Ankle circumference (cm)
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* Biceps (extended) circumference (cm)
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* Forearm circumference (cm)
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* Wrist circumference (cm)
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* '''Notes'''
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** The measurement standards are listed in Benhke and Wilmore, 1974, pp. 45-48, where, for instance, the abdomen 2 circumference is ''measured laterally, at the level of the iliac crests, and anteriorly, at the umbilicus''.
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** These data are used to produce the predictive equations for lean body weight given in the abstract ''Generalized body composition prediction equation for men using simple measurement techniques'', K.W. Penrose, A.G. Nelson, A.G. Fisher, FACSM, Human Performance Research Center, Brigham Young University, Provo, Utah  84602 as listed in ''Medicine and Science in Sports and Exercise'', vol. 17, no. 2, April 1985, p. 189.
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** The predictive equations were obtained from ''training'' data (the first 143 of the 252 cases that are listed in the spreadsheet below). The remaining 109 cases may be used for ''testing''.
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** These data were generously supplied by Dr. A. Garth Fisher who gave permission to freely distribute the data and use for non-commercial purposes.
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** The data is also available [http://wiki.stat.ucla.edu/niser/uploads/0/0d/NISER_Data_BMI_Regression_Dataset.pdf in PDF format].
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** The [http://www.stat.ucla.edu/~dinov/courses_students.dir/07/Fall/STAT13.1.dir/STAT13_notes.dir/BMI_Calculator.html body-mass-index is defined by]: <math>BMI = {Weight(kg)\over Height^2(m)}</math>.
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==Data Table==
==Data Table==
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{| class="wikitable" style="text-align:center; width:75%" border="1"
{| class="wikitable" style="text-align:center; width:75%" border="1"
|-
|-
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!Index||Group_NC1_Interv2|| Immediate|| 30_Sec_Later||60_Sec_Later||120_Sec_Later||Total_Cry_Time||Cluster
 +
|-
 +
|1||1||6||7||6||2||63||3
 +
|-
 +
|2||1||5||1||2||0||0||3
 +
|-
 +
|3||1||7||6||6||7||54||3
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|-
 +
|4||1||3||7||3||0||27||3
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|-
 +
|5||1||7||5||6||0||19||3
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|-
 +
|6||1||6||6||6||2||2||3
 +
|-
 +
|7||1||7||7||6||0||46||3
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|-
 +
|8||1||6||7||0||0||33||3
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|9||1||5||0||4||0||56||3
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|10||1||7||7||7||6||63||3
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|12||1||4||4||0||1||19||3
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|13||1||7||6||3||0||37||3
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|14||1||7||0||4||0||68||3
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 +
|15||1||7||6||7||0||73||3
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|23||1||0||7||0||0||65||1
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|102||2||7||6||0||0||39||2
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|103||2||7||7||7||0||60||2
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|-
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|104||2||7||7||7||3||78||2
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|105||2||6||0||0||0||11||2
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|-
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|106||2||7||6||0||0||59||2
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|-
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|107||2||7||4||4||0||28||2
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|-
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|108||2||7||7||7||1||64||2
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|109||2||7||0||0||0||8||2
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|110||2||5||0||1||3||64||2
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|-
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|111||2||7||5||7||7||72||2
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|-
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|112||2||4||2||0||2||50||2
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|-
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|113||2||7||6||7||0||44||2
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|-
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|114||2||7||1||0||0||11||2
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|-
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|115||2||7||3||0||0||16||2
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|-
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|116||2||7||0||0||0||30||2
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|117||2||5||4||5||0||14||2
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|118||2||2||7||0||0||10||1|| 
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119||2||2||0||0||1||20||1
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|120||2||3||0||0||0||7||1
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|122||2||7||6||5||2||58||2
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|-
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|124||2||2||6||0||1||41||1
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|-
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|129||2||4||0||4||4||73||2
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|-
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|131||2||4||7||3||0||40||2
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|132||2||7||4||6||1||43||2
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|133||2||5||0||4||0||22||2
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|135||2||7||7||3||0||70||2
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|-
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|137||2||7||7||5||0||35||2
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|-
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|138||2||7||6||6||0||35||2
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|139||2||7||0||0||0||8||2
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|140||2||5||0||0||0||5||2
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|141||2||7||1||0||0||33||2
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|142||2||7||7||4||0||46||2
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|143||2||7||4||0||0||15||2
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|144||2||5||7||0||0||11||2
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|145||2||6||0||0||0||9||2
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|146||2||6||0||0||0||12||2
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|147||2||7||0||0||0||2||2
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|148||2||7||7||3||0||43||2
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|149||2||7||7||2||2||73||2
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|150||2||7||6||4||0||38||2
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</center>
</center>

Revision as of 23:15, 10 April 2012

Contents

SOCR Data - SOCR Neonate Infant Pain Score (NIPS) Data (Vitamin K shots)

Summary

These data include 79 babies (infants) in a control group (NC) and 79 babies in the intervention (Interv) group. The intervention group babies were held by their mothers prior to, and during the administering of the shot -- “Kangaroo Care”. NIPS scores were recorded immediately after the shot was administered, after 30 seconds, one minute, and two minutes.

Background

Nurses at Northbay Healthcare participate in an Evidence Based Practice (EBP) program. The purpose of EBP is to research and implement improvements in nursing care, and then to gauge the success these changes using statistical methods. In one study, they introduced changes in the way newborn babies are handled. The goal is to reduce pain experienced by the infants resulting from their vitamin K shot. Supervising nurses assessed a newborn's pain using a scale known as a Neonatal Infant Pain Score (NIPS). NIPS scores range from 0 to 7, and are obtained by observing the infant's bodily reactions.

Classroom use of this data set

Body Mass Index

This data set can be used to illustrate (multivariate, logistic) regression analyses, non-parametric tests, and diverse array of exploratory data analyses.

Data Description

The body density dataset includes the following 15 variables listed from left to right:

  • Index: Index of the observation (random ordering within each group, group 1 followed by group 2)
  • Group_NC1_Interv2: Index of the group: NC=1; Intervention=2
  • Immediate: NIPS assessment of pain at time of vitamin K shot (t=0)
  • 30_Sec_Later: NIPS assessment of pain 30 seconds after the vitamin K shot (t=30)
  • 60_Sec_Later: NIPS assessment of pain 60 seconds after the vitamin K shot (t=60)
  • 120_Sec_Later: NIPS assessment of pain 120 seconds after the vitamin K shot (t=120)
  • Total_Cry_Time: The total try time (in seconds)
  • Cluster: This is an automatically derived clustering measure using all variables except Group_NC1_Interv2 and based on Hierarchical Clustering/FactoMineR algorithm.

Data Table

IndexGroup_NC1_Interv2 Immediate 30_Sec_Later60_Sec_Later120_Sec_LaterTotal_Cry_TimeCluster
116762633
21512003
317667543
413730273
517560193
61666223
717760463
816700333
915040563
1017776633
1117622333
1214401193
1317630373
1417040683
1517670733
1617734293
1717660593
1817300203
1917200353
2016574803
2117002203
2217777813
2310700651
2417074463
2517760843
2617600443
2717734233
2817100173
2917011123
3016555333
3117256453
3217001113
3317404123
341400033
3516276483
3617300153
3717655503
3817306223
3917777863
4017333303
4117757733
4216500203
4317340253
4417066263
4516650663
4617000143
471720043
4817666333
4917776483
5017010223
5117773473
5217300143
5315760513
5417000153
5517333373
5615674243
5717473393
5816776703
5917200483
6017705423
6117371633
6217030233
6317763583
6417300103
651000001
661300003
6717775733
6817776393
6917777543
7017265523
7116460393
7217730613
7317300343
7417766303
75177731003
7617652553
7717540583
7817550493
7917520183
802100001
8120000131
822101001
8325341322
842300001
8527410362
8625510202
8725342232
8827631392
8921011141
9027044542
9124000362
922200001
9327606292
9427101112
952400052
9627752642
9727712522
9827710192
9925221282
10027400222
10127760682
10227600392
10327770602
10427773782
10526000112
10627600592
10727440282
10827771642
1092700082
11025013642
11127577722
11224202502
11327670442
11427100112
11527300162
11627000302
11725450142
11822700101

119||2||2||0||0||1||20||1

1202300071
12127222102
12227652582
12327100192
12422601411
12527300172
1262522052
12727502492
12827200362
12924044732
13024100192
13124730402
13227461432
13325040222
13427310322
13527730702
13627503352
13727750352
13827660352
1392700082
1402500052
14127100332
14227740462
14327400152
14425700112
1452600092
14626000122
1472700022
14827730432
14927722732
15027640382
15127400112
15227773602
15327100272
15427000252
1552662022
15627000122
1572100001
15822000181

References

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Retrieved from "http://wiki.stat.ucla.edu/socr/index.php/SOCR_Data_NIPS_InfantVitK_ShotData"
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