bmizs {MUACz}

Generate Body Mass Index z-scores for age and percentiles for children/adolescents given their age, sex, and bmi values.

Description

Generates Body Mass Index (BMI) for age z-scores and percentiles based on LMS method for children and adolescents aged 0 to 19 years.

Usage

bmizs(
  Datafm,
  age_range = "0-24",
  digits.zscore = 2,
  digits.perc = 2,
  Notes = FALSE
)

Arguments

Datafm

A DataFrame with variables age (in months), sex (1, 2 or "Male", "Female"), bmi (numeric: in kilograms per meter squared (kg/m^2)).

age_range

age range in months. Input has to be characters. It allows "0-24" by default. Other inputs allowed are "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 BMI z scores for age and percentiles.

References

<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>

See Also

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

Examples

## Example 1: for younger age range = "0-24" months
## No need to specify age_range
## creating a hypothetical dataset

dat1 <- data.frame(age = c(5, 6, 12, 12, 18, 18, 23, 23),
        sex = c(1, 2, 1, 2, 1, 2, 1, 2),
        bmi = c(17.3, 18.6, 18.2, 12.7, 20.8, 20.8, 13.6, 18.4))

ans1 <- bmizs(Datafm = dat1)
ans1 <- bmizs(Datafm = dat1, Notes = TRUE) # Will also print notes
# ans1

## Example 2: specify age range = "24-60" months
## creating a hypothetical dataset

dat2 <- data.frame(age = c(25, 36, 48, 60),
        sex = 2, bmi = c(15.7, 16.8, 20.6, 12.7))

ans2 <- bmizs(Datafm = dat2, age_range = "24-60")
# ans2

## Example 3: specify age range = "61-228" months
## creating a hypothetical dataset

dat3 <- data.frame(age = c(61, 73, 181, 217),
        sex = 1, bmi = c(12.1, 14.1, 27.1, 35.4))

ans3 <- bmizs(Datafm = dat3, age_range = "61-228")
# ans3