MUACz (version 2.1.0)

muaczs: Generate MUAC z-scores and percentiles for age for children and adolescents given their age, sex, and MUAC values.

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

# NOT RUN {
## 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

# }