muacz.bmiz: Generate both MUAC z-scores and BMI z-scores and their...

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

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

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