muacz.bmiz {MUACz}

Generate both MUAC z-scores and BMI z-scores and their percentiles for age for children/adolescents given their age, sex, MUAC, and BMI values.

Description

Generates both MUAC and BMI z-scores for age z-scores and percentiles based on LMS method for children and adolescents aged 3 months to 19 years olds.

Usage

muacz.bmiz(
  Datafm,
  age_range.muac = "60-228",
  age_range.bmi = "61-228",
  digits.zscore = 2,
  digits.perc = 2,
  Notes = FALSE
)

Arguments

Datafm

A DataFrame with variables including, age (in months), sex (1, 2 or "Male", "Female"), muac (numeric: in cm).

age_range.muac

MUAC age range in months: This can be "3-60" or "60-228".

age_range.bmi

BMI age range in months: This can be "0-24", "24-60" or "61-228".

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 and BMI z-scores and their 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/bmi_for_age/en/>

<https://www.who.int/growthref/who2007_bmi_for_age/en/>

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

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

See Also

indivmuaczs, muaczs, bmizs, plotmuac and plotbmi.

Examples

## Example 1
## creating a hypothetical dataset
dat1 <- data.frame(age = c(61, 73, 181, 217), sex = 1,
                     muac = c(13.0, 15.7, 34.1, 43.9),
                      bmi = c(12.1, 14.1, 27.1, 35.4))
ans1 <- muacz.bmiz(Datafm = dat1, age_range.muac = "60-228",
                 age_range.bmi = "61-228")
# ans1

## Example 1
## creating a hypothetical dataset
dat2 <- data.frame(age = c(25, 36, 48, 60),
                  sex = 2,
                  muac = c(15, 17, 21.3, 14),
                  bmi = c(15.7, 16.8, 20.6, 12.7))
ans2 <- muacz.bmiz(Datafm = dat2, age_range.muac = "3-60",
          age_range.bmi = "24-60")
# ans2