cchsflow (version 2.1.0)

bmi_fun: Body Mass Index (BMI) derived variable

Description

This function creates a harmonized BMI variable. The BMI variable provided by the CCHS calculates BMI using methods that vary across cycles, leading to measurement error when using multiple CCHS cycles. In certain CCHS cycles (2001-2003, 2007+), there are age restrictions in which respondents under the age of 20 and over the age of 64 were not included. Across all CCHS cycles, female respondents who identified as being pregnant were excluded; and in certain CCHS cycles (2003-2007, 2013-2014), females who did not answer the pregnancy question were coded as NS (not stated) for HWTGBMI. As well, in certain CCHS cycles (2001-2003, 2009-2014), respondents outside certain height and weight ranges (0.914-2.108m for height, 0-260kg for weight) were excluded from HWTGBMI.

bmi_fun() creates a derived variable (HWTGBMI_der) that is harmonized across all CCHS cycles. This function divides weight by the square of height.

Usage

bmi_fun(HWTGHTM, HWTGWTK)

Arguments

HWTGHTM

CCHS variable for height (in meters)

HWTGWTK

CCHS variable for weight (in kilograms)

Value

numeric value for BMI in the HWTGBMI_der variable

Details

For HWTGBMI_der, there are no restrictions to age, height, weight, or pregnancy status. While pregnancy was consistent across all CCHS cycles, its variable (MAM_037) was not available in the PUMF CCHS datasets so it could not be harmonized and included into the function.

For any single CCHS survey year, it is appropriate to use the CCHS BMI variable (HWTGBMI) that is also available on cchsflow. HWTGBMI_der is recommended when using multiple survey cycles.

HWTGBMI_der uses the CCHS variables for height and weight that have been transformed by cchsflow. In order to generate a value for BMI across CCHS cycles, height and weight must be transformed and harmonized.

Examples

# NOT RUN {
# Using bmi_fun() to create BMI values between cycles
# bmi_fun() is specified in variable_details.csv along with the
# CCHS variables and cycles included.

# To transform the derived BMI variable, use rec_with_table() for each cycle
# and specify HWTGBMI_der, along with height (HWTGHTM) and weight (HWTGWTK).
# Then by using merge_rec_data(), you can combined HWTGBMI_der across
# cycles.

library(cchsflow)
bmi2001 <- rec_with_table(
  cchs2001_p, c(
    "HWTGHTM",
    "HWTGWTK", "HWTGBMI_der"
  )
)

head(bmi2001)

bmi2011_2012 <- rec_with_table(
  cchs2011_2012_p, c(
    "HWTGHTM",
    "HWTGWTK", "HWTGBMI_der"
  )
)

tail(bmi2011_2012)

combined_bmi <- merge_rec_data(bmi2001, bmi2011_2012)
head(combined_bmi)
tail(combined_bmi)

# Using bmi_fun() to generate a BMI value with user inputted height and
# weight values. bmi_fun() can also generate a value for BMI if you input a
# value for height and weight. Let's say your height is 170cm (1.7m) and
# your weight is 50kg, your BMI can be calculated as follows:

library(cchsflow)
BMI <- bmi_fun(HWTGHTM = 1.7, HWTGWTK = 50)
print(BMI)
# }