Adipose#

Measurements of BMI and adipose tissue for adults.

The response variables of interest in this study were BMI and VAT. According to the authors of the study, the VAT measurements of 5 or lower are suspect and may need to be excluded. From the authors: “The aims of this study were (a) to compare five anthropometric predictors of precent FM and VAT mass, and (b) to explore new cut-points for the best of these predictors to improve the characterisation of obesity.”

Initialization#

library(fosdata)
data <- fosdata::adipose

Accessing fields#

data <- fosdata::adipose
bmi <- data$bmi # Just a random field in the dataset

Interactive R Sample#

You can use the R editor below to interactively explore the dataset and generate plots. This contains a fully self-contained R environment with fosdata, ggplot2, and dplyr loaded.

webR + fosdata Test

Console
Plot

    


    
    

      

        No plot generated yet.
      

      scatterplot
    

  



LLM instructions#


If using an LLM, you can copy-paste the following instructions to accompany your prompt to inform the model of the fields and their types in the dataset.


LLM Instructions


The fosdata::adipose dataset containing the following fields:

fields[12]{name,type,values}:
  sex,factor,[Male,Female]
  health,character,n/a
  age,numeric,n/a
  ldl,numeric,n/a
  hdl,numeric,n/a
  trig,numeric,n/a
  glucose,numeric,n/a
  stature_cm,numeric,n/a
  waist_cm,numeric,n/a
  hips_cm,numeric,n/a
  vat,numeric,n/a
  bmi,numeric,n/a


Fields#



  
      

          Name
          Description
          Type
          Min
          Max
          Values
      

  
  
      

          sex
          Male or Female
          factor
          -
          -
          Male, Female
      

      

          health
          Description of general health of participant
          character
          -
          -
          -
      

      

          age
          age in years
          numeric
          18
          83
          -
      

      

          ldl
          LDL cholesterol in mmol/L
          numeric
          0.61
          4.52
          -
      

      

          hdl
          HDL cholesterol in mmol/L
          numeric
          0.44
          2.56
          -
      

      

          trig
          Triglycerides in mmol/L
          numeric
          0.5
          4.14
          -
      

      

          glucose
          Blood glucose in mmol/L
          numeric
          3.98
          15.1
          -
      

      

          stature_cm
          height in centimeters
          numeric
          151
          186.8
          -
      

      

          waist_cm
          waist measurement in cm
          numeric
          56
          125
          -
      

      

          hips_cm
          hips measurement in cm
          numeric
          76.5
          125
          -
      

      

          vat
          visceral adipose tissue fat mass in grams
          numeric
          2
          3794
          -
      

      

          bmi
          body mass index kg/m^2
          numeric
          16.6406
          37.3247
          -
      

  



Source#


Swainson MG, Batterham AM, Tsakirides C, Rutherford ZH, Hind K (2017) Prediction of whole-body fat percentage and visceral adipose tissue mass from five anthropometric variables. PLoS ONE 12(5): e0177175. https://doi.org/10.1371/journal.pone.0177175



 
      

      

        
  





















  
  
  
  

    
    
      
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