muaczs: Generate MUAC z-scores and percentiles for age for children...

In MUACz: Generate MUAC and BMI z-Scores and Percentiles for Children and Adolescents

Description

Generates mid upper arm circumference (MUAC) for age z-scores and percentiles based on LMS-method for children and adolescents aged 3 months to 19 years.

Usage

muaczs(
  Datafm,
  age_range = "3-60",
  digits.zscore = 2,
  digits.perc = 2,
  Notes = FALSE
)

Arguments

Datafm	A DataFrame with variables including pid (unique subject identification), age (in months), sex (1, 2 or "Male", "Female"), muac (numeric: in cm).
age_range	age range in months. Input has to be characters. Options allowed are: "3-60" which is the default, or "60-228"
digits.zscore	The number of digits for z-score variable
digits.perc	The number of digits for percentile variable
Notes	Is FALSE by default. If set to TRUE, 'notes' will be printed on the console about the nature, range of variables allowed and number of records processed.

Value

A DataFrame with MUAC z scores for age and percentiles.

References

Mramba L., Ngari M., Mwangome M., Muchai L., Bauni E., Walker A.S., Gibb D.M., Fegan G. and Berkley J.A. (2017) A growth reference for mid upper arm circumference for age among school age children and adolescents, and validation for mortality: growth curve construction and longitudinal cohort study BMJ 2017;358:j3423 <doi:10.1136/bmj.j3423>

<https://www.bmj.com/content/358/bmj.j3423>

<https://www.bmj.com/content/358/bmj.j3423/related#datasupp>

<https://www.who.int/childgrowth/standards/Technical_report.pdf>

<https://www.who.int/childgrowth/standards/ac_for_age/en/>

See Also

indivmuaczs, bmizs, muacz.bmiz, plotmuac and plotbmi.

Examples

## Example 1: younger age range is the default: 3 months - 5 years
# Creating a hypothetical dataset

dat1 <- data.frame(age = c(3, 5, 12, 18, 23, 24, 36, 48, 60, 24, 36, 48, 60),
        sex = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2),
        muac = c(15.6, 14.1, 15.8, 18.7, 12.9, 13,
        14.5, 16.1, 21.7, 12.7, 14.4, 16.2, 22.5))
# Run the function
ans1 <- muaczs(Datafm = dat1) # save the output
# ans1

 ## Example 2: For children 5-19 years old, specify their age range "61-228"
 # Creating a hypothetical dataset
 dat1 <- data.frame(age = c(60, 65, 90, 120, 220),
         sex = c("Male","Female","Male","Male","Female"),
         muac = c(20, 14.3, 15.4, 17.8, 25.1))

ans1 <- muaczs(Datafm = dat1, age_range = "60-228")
# ans1

MUACz documentation built on July 16, 2020, 9:07 a.m.