Package 'riycf' reference manual

Title:	Utilities for Calculating Infant and Young Child Feeding Indicators
Description:	This package aims to generate updated indicators to assess infant and young child feeding (IYCF) practices at the individual under 2 years old children level. The indicators were developed using the technical guideline from the Indicators for assessing infant and young child feeding practices: definitions and measurement methods <https://www.who.int/publications/i/item/9789240018389>.
Authors:	Nicholus Tint Zaw [aut, cre, cph], Ernest Guevarra [aut, cph] , Rebecca Wolfe [rev]
Maintainer:	Nicholus Tint Zaw <[email protected]>
License:	GPL (>= 3)
Version:	0.0.0.9000
Built:	2025-02-07 14:20:05 UTC
Source:	https://github.com/nutriverse/riycf

Construction of Dummy Variable(s)

Description

generate dummy variables based on the input vector(s) binary parameters (true = 1 and false = 0). If the observation of one of the input parameter was true, that observation's newly generated dummy variable will return as true (1). And, if all input parameters were false, the return will be false (0).

Usage

get_dummy(var_list = NULL)
get_dummy(var_list = NULL)

Arguments

var_list

list of food consumption variables

Value

the vector with "0" and "1" binary result.

Author(s)

Nicholus Tint Zaw

Examples


# Individual Food Group Variable Construction

 df <- iycfData

# Individual Food Group Specific Function
 breastmilk <- get_dummy(var_list = list(df$child_bfyest))

 grains <- get_dummy(var_list = list(df$child_rice, df$child_potatoes))

 pulses <- get_dummy(var_list = list(df$child_beans))

 dairy_list <- list(df$child_bms, df$child_milk,
                    df$child_mproduct, df$child_yogurt,
                    df$child_yogurt)

 dairy <- get_dummy(var_list = dairy_list)

 meat_list <- list(df$child_organ, df$child_insects,
                   df$child_beef, df$child_fish)

 meat <- get_dummy(var_list = meat_list)

 eggs <- get_dummy(var_list = list(df$child_eggs))

 vita_fruveg_list <- list(df$child_pumpkin,
                          df$child_leafyveg,
                          df$child_mango)

 vita_fruveg <- get_dummy(var_list = vita_fruveg_list)

 oth_fruveg <- get_dummy(var_list = list(df$child_fruit, df$child_fruit))


# Individual Food Group Variable Construction

 df <- iycfData

# Individual Food Group Specific Function
 breastmilk <- get_dummy(var_list = list(df$child_bfyest))

 grains <- get_dummy(var_list = list(df$child_rice, df$child_potatoes))

 pulses <- get_dummy(var_list = list(df$child_beans))

 dairy_list <- list(df$child_bms, df$child_milk,
                    df$child_mproduct, df$child_yogurt,
                    df$child_yogurt)

 dairy <- get_dummy(var_list = dairy_list)

 meat_list <- list(df$child_organ, df$child_insects,
                   df$child_beef, df$child_fish)

 meat <- get_dummy(var_list = meat_list)

 eggs <- get_dummy(var_list = list(df$child_eggs))

 vita_fruveg_list <- list(df$child_pumpkin,
                          df$child_leafyveg,
                          df$child_mango)

 vita_fruveg <- get_dummy(var_list = vita_fruveg_list)

 oth_fruveg <- get_dummy(var_list = list(df$child_fruit, df$child_fruit))

Construct exclusive breastfeeding status for under 6 months old child

Description

Identification of individual 0-5 months old children exclusive breastfeeding status

Usage

get_ebf(q4, age, liquid_food, solid_food)
get_ebf(q4, age, liquid_food, solid_food)

Arguments

`q4`	The binary variable which mentioned that the child was receiving breastfeeding in the previous day (yes = "1", no = "0").
`age`	This parameter holds the information about child age in the month format.
`liquid_food`	The binary variable which mentioned that the child was receiving any type of liquid foods beside breastfeeding yesterday (yes = 1 or no = 0).
`solid_food`	The binary variable which mentioned that the child was receiving any type of solid foods yesterday (yes = 1 or no = 0).

Value

A vector of binary values indicating whether a child was exclusively breastfed or not during the previous day (1 = Yes or 0 = No).

Author(s)

Nicholus Tint Zaw

Examples


 df <- iycfData

# Liquid consumption previous day - yes/no
 liquid <- list(df$child_vitdrop, df$child_ors, df$child_water,
                df$child_juice, df$child_broth, df$child_porridge,
                df$child_bms, df$child_milk, df$child_mproduct,
                df$child_liquid)

 df$liquid_food <- get_dummy(var_list = liquid)


# Solid food consumption previous day - yes/no
 solid <- list(df$child_rice, df$child_potatoes, df$child_pumpkin,
               df$child_beans, df$child_leafyveg, df$child_mango,
               df$child_fruit, df$child_organ, df$child_beef, df$child_fish,
               df$child_insects, df$child_eggs, df$child_yogurt,
               df$child_fat, df$child_plam, df$child_sweets,
               df$child_condiments)

 df$solid_food <- get_dummy(var_list = solid)


# Child exclusively breastfed
ebf <- get_ebf(df$child_bfyest, df$calc_age_months, df$liquid_food,
               df$solid_food)


df <- iycfData

# Liquid consumption previous day - yes/no
 liquid <- list(df$child_vitdrop, df$child_ors, df$child_water,
                df$child_juice, df$child_broth, df$child_porridge,
                df$child_bms, df$child_milk, df$child_mproduct,
                df$child_liquid)

 df$liquid_food <- get_dummy(var_list = liquid)


# Solid food consumption previous day - yes/no
 solid <- list(df$child_rice, df$child_potatoes, df$child_pumpkin,
               df$child_beans, df$child_leafyveg, df$child_mango,
               df$child_fruit, df$child_organ, df$child_beef, df$child_fish,
               df$child_insects, df$child_eggs, df$child_yogurt,
               df$child_fat, df$child_plam, df$child_sweets,
               df$child_condiments)

 df$solid_food <- get_dummy(var_list = solid)


# Child exclusively breastfed
ebf <- get_ebf(df$child_bfyest, df$calc_age_months, df$liquid_food,
               df$solid_food)

Construct other breastfeeding related indicators (from IYCF)

Description

Identification of individual 0-23 months old children breastfeeding status; Ever breastfed, Early initiation of breastfeeding, Exclusive breastfeeding for the first two days after birth, Mixed milk feeding under 6 months, Continuous breastfeeding 12-23 months, and Bottle feeding 0-23 months

Usage

get_evbf(q4, age)

get_eibf(age, q2, q2_hour)

get_ebf2d(q3, age)

get_mixmf(q4, age, q6b, q6c)

get_cbf(q4, age)

get_bof(q5, age)
get_evbf(q4, age)

get_eibf(age, q2, q2_hour)

get_ebf2d(q3, age)

get_mixmf(q4, age, q6b, q6c)

get_cbf(q4, age)

get_bof(q5, age)

Arguments

`q4`	The binary variable which mentioned that the child was receiving breastfeeding in the previous day (yes = "1", no = "0").
`age`	This parameter holds the information about child age in the month format.
`q2`	the parameter indicate how long after the child was put to the barest immediately after birth (0 = immediately, 1 = for hours and 2 = for days)
`q2_hour`	the integer parameter record the hour(s) after birth the child was put to the breast
`q3`	the binary variable indicating the child received anything else beside breastmilk with the first two days after birth
`q6b`	the binary variable indicates that the child got infant formula feeding in the previous day
`q6c`	the binary variable presents the child got any of the following milk related food; Milk from animals, such as fresh, tinned or powdered milk.
`q5`	the binary variable presents the child received the bottle feeding in the previous day

Value

binary variables indicate child met the respective breastfeeding status or not (yes = 1 or no = 0)

Author(s)

Nicholus Tint Zaw

Examples


 df <- iycfData

# Ever Breastfed
evbf <- get_evbf(df$child_bf, df$calc_age_months)

# Early Initiation of Breastfeeding
eibf <- get_eibf(df$calc_age_months, df$child_eibf, df$child_eibf_hrs)

# Exclusive Breastfeeding for the first two days after birth
df$q3 <- rbinom(n = nrow(df), size = 1, prob = 0.5)

ebf2d <- get_ebf2d(df$q3, df$calc_age_months)

# Mixed Milk Feeding Under 6 months
mixmf <- get_mixmf(df$child_bfyest, df$calc_age_months,
                   df$child_bms, df$child_milk)

# Continuous Breastfeeding 12-23 months
cbf <- get_cbf(df$child_bfyest, df$calc_age_months)

# Bottle Feeding 0-23 months
df$q5 <- rbinom(n = nrow(df), size = 1, prob = 0.5)

bof <- get_bof(df$q5, df$calc_age_months)

df <- iycfData

# Ever Breastfed
evbf <- get_evbf(df$child_bf, df$calc_age_months)

# Early Initiation of Breastfeeding
eibf <- get_eibf(df$calc_age_months, df$child_eibf, df$child_eibf_hrs)

# Exclusive Breastfeeding for the first two days after birth
df$q3 <- rbinom(n = nrow(df), size = 1, prob = 0.5)

ebf2d <- get_ebf2d(df$q3, df$calc_age_months)

# Mixed Milk Feeding Under 6 months
mixmf <- get_mixmf(df$child_bfyest, df$calc_age_months,
                   df$child_bms, df$child_milk)

# Continuous Breastfeeding 12-23 months
cbf <- get_cbf(df$child_bfyest, df$calc_age_months)

# Bottle Feeding 0-23 months
df$q5 <- rbinom(n = nrow(df), size = 1, prob = 0.5)

bof <- get_bof(df$q5, df$calc_age_months)

Construct the food groups consumption score (from Minimum Dietary Diversity 6-23 months (MDD))

Description

Identification of individual 6-23 months old children who meet the minimum dietary diversity requirement require the information about how many food groups the child consumed yesterday (8 groups in total).

Usage

get_foodscore(
  breastmilk,
  grains,
  pulses,
  dairy,
  meat,
  eggs,
  vita_fruveg,
  oth_fruveg
)
get_foodscore(
  breastmilk,
  grains,
  pulses,
  dairy,
  meat,
  eggs,
  vita_fruveg,
  oth_fruveg
)

Arguments

`breastmilk`	child received breastfeeding or not
`grains`	child consumed grains food group or not
`pulses`	child consumed pulses food group or not
`dairy`	child consumed diary and milk product food group or not
`meat`	child consumed meat food group or not
`eggs`	child consumed eggs food group or not
`vita_fruveg`	child consumed vitamin A-rich fruits and vegetables or not
`oth_fruveg`	child consumed fruits and vegetables or not

Value

the integer value at continuous scale (0-8 as the IYCF food groups have 8 food groups).

Author(s)

Nicholus Tint Zaw

Examples


# Individual Food Group Variable Construction

 df <- iycfData

# General Dummy variable generator function
 breastmilk <- round(runif(nrow(df), min = 0, max = 1), 0)
 grains <- round(runif(nrow(df), min = 0, max = 1), 0)
 pulses <- round(runif(nrow(df), min = 0, max = 1), 0)
 dairy <- round(runif(nrow(df), min = 0, max = 1), 0)
 meat <- round(runif(nrow(df), min = 0, max = 1), 0)
 eggs <- round(runif(nrow(df), min = 0, max = 1), 0)
 vita_fruveg <- round(runif(nrow(df), min = 0, max = 1), 0)
 oth_fruveg <- round(runif(nrow(df), min = 0, max = 1), 0)

 # Calculate Food Consumption Score
 food_score <- get_foodscore(breastmilk, grains, pulses, dairy, meat,
                             eggs, vita_fruveg, oth_fruveg)


# Individual Food Group Variable Construction

 df <- iycfData

# General Dummy variable generator function
 breastmilk <- round(runif(nrow(df), min = 0, max = 1), 0)
 grains <- round(runif(nrow(df), min = 0, max = 1), 0)
 pulses <- round(runif(nrow(df), min = 0, max = 1), 0)
 dairy <- round(runif(nrow(df), min = 0, max = 1), 0)
 meat <- round(runif(nrow(df), min = 0, max = 1), 0)
 eggs <- round(runif(nrow(df), min = 0, max = 1), 0)
 vita_fruveg <- round(runif(nrow(df), min = 0, max = 1), 0)
 oth_fruveg <- round(runif(nrow(df), min = 0, max = 1), 0)

 # Calculate Food Consumption Score
 food_score <- get_foodscore(breastmilk, grains, pulses, dairy, meat,
                             eggs, vita_fruveg, oth_fruveg)

Construct other breastfeeding related indicators (from IYCF)

Description

Identification of individual 0-23 months old children breastfeeding status

Usage

get_isssf(solid_food, age)

get_eff(egg_meat, age)

get_swb(sweet, age)

get_ufc(unhealthy, age)

get_zvf(vege_fruit, age)
get_isssf(solid_food, age)

get_eff(egg_meat, age)

get_swb(sweet, age)

get_ufc(unhealthy, age)

get_zvf(vege_fruit, age)

Arguments

`solid_food`	The binary variable which mentioned that the child was received any type of solid foods yesterday (yes = 1 or no = 0).
`age`	This parameter holds the information about child age in the month format.
`egg_meat`	The binary variable which mentioned that the child was received any egg and/or flesh food yesterday
`sweet`	The binary variable which mentioned that the child was received any sweet beverage foods yesterday
`unhealthy`	The binary variable which mentioned that the child was received the unhealthy food consumption: sweets and instant foods
`vege_fruit`	The binary variable which mentioned that the child was received any vegetables or fruits yesterday

Value

binary variables indicate child met the respective complementary feeding status or not (yes = 1 or no = 0)

Author(s)

Nicholus Tint Zaw

Examples


  df <- iycfData

# Introduction of Solid, Semi-solid or soft foods (6-8 months)
# Solid food consumption previous day - yes/no
 solid <- list(df$child_rice, df$child_potatoes, df$child_pumpkin,
               df$child_beans, df$child_leafyveg, df$child_mango,
               df$child_fruit, df$child_organ, df$child_beef, df$child_fish,
               df$child_insects, df$child_eggs, df$child_yogurt,
               df$child_fat, df$child_plam, df$child_sweets,
               df$child_condiments)

 df$solid_food <- get_dummy(var_list = solid)

 isssf <- get_isssf(df$solid_food, df$calc_age_months)


# Egg and/or Flesh food consumption (6-23 months)
# Egg and/or Flesh food consumption previous day - yes/no
 egg_meat <- list(df$child_organ, df$child_beef, df$child_fish,
                  df$child_insects, df$child_eggs)

 df$egg_meat <- get_dummy(var_list = egg_meat)

 eff <- get_eff(df$egg_meat, df$calc_age_months)

# Sweet beverage consumption (6-23 months)
# Sweet beverage consumption previous day - yes/no
 sweet <- list(df$child_milk_sweet, df$child_mproduct_sweet,
               df$child_chocolate, df$child_juice, df$child_soda,
               df$child_tea_sweet, df$child_oth_drink_swee)

 df$sweet <- get_dummy(var_list = sweet)

 swb <- get_swb(df$sweet, df$calc_age_months)

# Unhealthy food consumption (6-23 months)
# Unhealthy food consumption previous day - yes/no
 unhealthy <- list(df$child_sweets, df$child_condiments)

 df$unhealthy <- get_dummy(var_list = unhealthy)

 ufc <- get_ufc(df$unhealthy, df$calc_age_months)

# Zero vegetable or fruit consumption (6-23 months)
# Zero vegetable or fruit consumption previous day - yes/no
 vege_fruit <- list(df$child_pumpkin, df$child_leafyveg, df$child_mango,
                    df$child_fruit)

 df$vege_fruit <- get_dummy(var_list = vege_fruit)

 zvf <- get_zvf(df$vege_fruit, df$calc_age_months)

df <- iycfData

# Introduction of Solid, Semi-solid or soft foods (6-8 months)
# Solid food consumption previous day - yes/no
 solid <- list(df$child_rice, df$child_potatoes, df$child_pumpkin,
               df$child_beans, df$child_leafyveg, df$child_mango,
               df$child_fruit, df$child_organ, df$child_beef, df$child_fish,
               df$child_insects, df$child_eggs, df$child_yogurt,
               df$child_fat, df$child_plam, df$child_sweets,
               df$child_condiments)

 df$solid_food <- get_dummy(var_list = solid)

 isssf <- get_isssf(df$solid_food, df$calc_age_months)


# Egg and/or Flesh food consumption (6-23 months)
# Egg and/or Flesh food consumption previous day - yes/no
 egg_meat <- list(df$child_organ, df$child_beef, df$child_fish,
                  df$child_insects, df$child_eggs)

 df$egg_meat <- get_dummy(var_list = egg_meat)

 eff <- get_eff(df$egg_meat, df$calc_age_months)

# Sweet beverage consumption (6-23 months)
# Sweet beverage consumption previous day - yes/no
 sweet <- list(df$child_milk_sweet, df$child_mproduct_sweet,
               df$child_chocolate, df$child_juice, df$child_soda,
               df$child_tea_sweet, df$child_oth_drink_swee)

 df$sweet <- get_dummy(var_list = sweet)

 swb <- get_swb(df$sweet, df$calc_age_months)

# Unhealthy food consumption (6-23 months)
# Unhealthy food consumption previous day - yes/no
 unhealthy <- list(df$child_sweets, df$child_condiments)

 df$unhealthy <- get_dummy(var_list = unhealthy)

 ufc <- get_ufc(df$unhealthy, df$calc_age_months)

# Zero vegetable or fruit consumption (6-23 months)
# Zero vegetable or fruit consumption previous day - yes/no
 vege_fruit <- list(df$child_pumpkin, df$child_leafyveg, df$child_mango,
                    df$child_fruit)

 df$vege_fruit <- get_dummy(var_list = vege_fruit)

 zvf <- get_zvf(df$vege_fruit, df$calc_age_months)

Determining Minimum Acceptable Diet

Description

Identification of individual 6-23 months old children minimum acceptable diet based on their breastfeeding status

Identification of individual 6-23 months old children dietary practices meet the minimum requirement of dietary diversity (at least 5 food group out of 8 food groups)

Usage

get_mad(age, q4, mdd, mmf, mmff)

get_mdd(food_score, age)
get_mad(age, q4, mdd, mmf, mmff)

get_mdd(food_score, age)

Arguments

`age`	This parameter holds the information about child age in the month format.
`q4`	The binary variable which mentions that the child was receiving breastfeeding in the previous day (yes = "1", no = "0").
`mdd`	The binary variable which holds whether the child received the minimum dietary diversity or not (yes = "1", no = "0").
`mmf`	The binary variable which indicates that the child got minimum meal frequency ("1") or not ("0").
`mmff`	This parameter is about the non-breastfed children received minimum milk feeding frequency or not (yes = "1", no = "0").
`food_score`	the integer variable with continuous scale which indicates the number of food groups the child consumed in previous day

Value

binary variable indicate child get the minimum acceptable diet (mad =1 ) or not (mad = 0)

binary variables indicate child get the minimum dietary diversity (mdd = 1 ) or not (mdd = 0)

Author(s)

Nicholus Tint Zaw

Examples

  df <- iycfData
  df$mdd <- rbinom(n = nrow(df), size = 1, prob = 0.5)
  df$mmf <- rbinom(n = nrow(df), size = 1, prob = 0.5)
  df$mmff <- rbinom(n = nrow(df), size = 1, prob = 0.5)

  mad <- get_mad(df$calc_age_months, df$child_bfyest, df$mdd, df$mmf, df$mmff)



# Minimum Dietary Diversity
  df <- iycfData

  df$food_score <- round(runif(nrow(df), min = 0, max = 8), 0)

  mdd <- get_mdd(df$food_score, df$calc_age_months)


df <- iycfData
  df$mdd <- rbinom(n = nrow(df), size = 1, prob = 0.5)
  df$mmf <- rbinom(n = nrow(df), size = 1, prob = 0.5)
  df$mmff <- rbinom(n = nrow(df), size = 1, prob = 0.5)

  mad <- get_mad(df$calc_age_months, df$child_bfyest, df$mdd, df$mmf, df$mmff)



# Minimum Dietary Diversity
  df <- iycfData

  df$food_score <- round(runif(nrow(df), min = 0, max = 8), 0)

  mdd <- get_mdd(df$food_score, df$calc_age_months)

Determining Minimum Meal Freq

Description

Identification of individual 6-23 months old children received the minimum meal frequency based on their breastfeeding status.

Usage

get_mmf(mmf_bf, mmf_nonbf)

get_mmf_bf(mmfbf_6to8, mmfbf_9to23)

get_mmf_bf_6to8(q4, q8, age)

get_mmf_bf_9to23(q4, q8, age)

get_mmf_nonbf(q4, q8, nonbf_frq, age)

get_nonbf_frq(q6bnum, q6cnum, q6dnum, q8)
get_mmf(mmf_bf, mmf_nonbf)

get_mmf_bf(mmfbf_6to8, mmfbf_9to23)

get_mmf_bf_6to8(q4, q8, age)

get_mmf_bf_9to23(q4, q8, age)

get_mmf_nonbf(q4, q8, nonbf_frq, age)

get_nonbf_frq(q6bnum, q6cnum, q6dnum, q8)

Arguments

`mmf_bf`	to The binary variable indicates that the overall breastfed child received minimum meal frequency or not.
`mmf_nonbf`	The binary variable indicates that the overall non-breastfed child received minimum meal frequency or not.
`mmfbf_6to8`	to The binary variable indicates that the 6-8 months breastfed child received minimum meal frequency or not.
`mmfbf_9to23`	The binary variable indicates that the 9-23 months breastfed child received minimum meal frequency or not.
`q4`	The binary variable which mentioned that the child received breastfeeding in the previous day (yes = "1", no = "0").
`q8`	the integer variable with continuous scale indicates the number of meals (solid, semi-solid or soft foods) the child ate yesterday.
`age`	This parameter holds the information about child age in the month format.
`nonbf_frq`	the integer variables with continuous scale presents the frequency of non-Breastfed child meal including milk feeding.
`q6bnum`	This parameter indicates the number of infant formula feeding the children received in previous days.
`q6cnum`	This parameter holds information about the frequency of milk related food feeding the child received yesterday (milk from animals, such as fresh, tinned, or powdered milk)
`q6dnum`	This parameter presents the information about the frequency of yogurt drinks the child received in the previous day.

Value

binary variables indicate child get the minimum meal frequency (mmf =1 ) or not (mmf = 0)

Author(s)

Nicholus Tint Zaw

Examples


# Minimum Meal Frequency

  df <- iycfData

  # breastfeeding children
  mmfbf_6to8 <- get_mmf_bf_6to8(df$child_bfyest,
                                df$child_food_freq,
                                df$calc_age_months)
  mmfbf_9to23 <- get_mmf_bf_9to23(df$child_bfyest,
                                  df$child_food_freq,
                                  df$calc_age_months)

  mmf_bf <- get_mmf_bf(mmfbf_6to8, mmfbf_9to23)

  # non-breastfeeding children
  nonbf_frq <- get_nonbf_frq(df$child_bms_freq,
                             df$child_milk_freq,
                             df$child_mproduct_freq,
                             df$child_food_freq)

  mmf_nonbf <- get_mmf_nonbf(df$child_bfyest,
                             df$child_food_freq,
                             nonbf_frq,
                             df$calc_age_months)


  # all children
  mmf <- get_mmf(mmf_bf, mmf_nonbf)



# Minimum Meal Frequency

  df <- iycfData

  # breastfeeding children
  mmfbf_6to8 <- get_mmf_bf_6to8(df$child_bfyest,
                                df$child_food_freq,
                                df$calc_age_months)
  mmfbf_9to23 <- get_mmf_bf_9to23(df$child_bfyest,
                                  df$child_food_freq,
                                  df$calc_age_months)

  mmf_bf <- get_mmf_bf(mmfbf_6to8, mmfbf_9to23)

  # non-breastfeeding children
  nonbf_frq <- get_nonbf_frq(df$child_bms_freq,
                             df$child_milk_freq,
                             df$child_mproduct_freq,
                             df$child_food_freq)

  mmf_nonbf <- get_mmf_nonbf(df$child_bfyest,
                             df$child_food_freq,
                             nonbf_frq,
                             df$calc_age_months)


  # all children
  mmf <- get_mmf(mmf_bf, mmf_nonbf)

Determining Minimum Milk Feeding Frequency

Description

Identification of individual 6-23 months old children minimum milk feeding frequency for non-breastfeed children 6-23 months (MMFF)

Usage

get_mmff(q4, age, milk_frq)

get_milk_frq(q6bnum, q6cnum, q6dnum, q7anum)
get_mmff(q4, age, milk_frq)

get_milk_frq(q6bnum, q6cnum, q6dnum, q7anum)

Arguments

`q4`	The binary variable which mentioned that the child was receiving breastfeeding in the previous day (yes = "1", no = "0").
`age`	This parameter holds the information about child age in the month format.
`milk_frq`	the integer variable with continuous scale represents all the milk consumption frequency (beside breastmilk)
`q6bnum`	This parameter indicates the number of infant formula feeding the children received in previous days.
`q6cnum`	This parameter holds information about the frequency of milk related food feeding the child received yesterday (milk from animals, such as fresh, tinned, or powdered milk)
`q6dnum`	This parameter presents the information about the frequency of yogurt drinks the child received in the previous day.
`q7anum`	the integer variable with continuous scale represents the frequency of yogurt (solid or semi-solid) the child consumed yesterday.

Value

The output of the get_mmff and get_milk_frq variables includes the following added variable.

Variables	Description
mf_frq	continuous variables indicate non-breastfeed child consume number of milk and milk-product food feeding
mmff	binary variables indicate child get the minimum milk feeding frequency (mmff =1 ) or not (mmff = 0)

Author(s)

Nicholus Tint Zaw

Examples


# Calculate Non-breastfeed Children Milk Frequency
 df <- iycfData

 df$milk_frq <- get_milk_frq(df$child_bms_freq, df$child_milk_freq,
                             df$child_mproduct_freq, df$child_yogurt)

# MMFF
df$mmff <- get_mmff(df$child_bfyest, df$calc_age_months, df$milk_frq)


# Calculate Non-breastfeed Children Milk Frequency
 df <- iycfData

 df$milk_frq <- get_milk_frq(df$child_bms_freq, df$child_milk_freq,
                             df$child_mproduct_freq, df$child_yogurt)

# MMFF
df$mmff <- get_mmff(df$child_bfyest, df$calc_age_months, df$milk_frq)

Infant and young child feeding indicators sample dataset

Description

This is an example IYCF dataset with 359 observations and 46 variables. The dataset is from CARE International Myanmar country programme. All personally identifiable information have been excluded.

Usage

iycfData
iycfData

Format

A data frame with 46 columns and 359 rows.

Variables	WHO Question Number	Description
csex		Sex of child; 1 = male; 0 = female.
calc_age_months		Age of child in months (calculated).
child_bf	Q1	Has child ever been breastfed?; 1 = Yes; 0 = No.
child_eibf	Q2	When was child first put to the breast: 0 = immediately; 1 = hours; 2 = days; 999 = Don't know/no response.
child_eibf_hrs	Q2	If child_eibf is 1, number of hours child first put to the breast; integer value.
child_eibf_days	Q2	If child_eibf is 2, number of days child first put to the breast; integer value.
bf_2days	Q3	Has child been given anything other than breast milk within the child's first 2 days of age? 1 = Yes; 0 = No.
child_bfyest	Q4	Has child been breastfed yesterday during the day or at night? 1 = Yes; 0 = No.
bf_bottle	Q5	Has child drank anything from a bottle with a nipple yesterday? 1 = Yes; 0 = No.
child_water	Q6A	Has child drank plain water yesterday? 1 = Yes; 0 = No.
child_bms	Q6B	Has child drank infant formula yesterday? 1 = Yes; 0 = No.
child_bms_freq	Q6Bnum	How many times has child drank infant formula? Integer value.
child_milk	Q6C	Has child drank milk from animals yesterday? 1 = Yes; 0 = No.
child_milk_freq	Q6Cnum	How many times has child drank milk from animals? Integer value.
child_milk_sweet	Q6Cswt	For children who drank milk from animals, was milk sweetened or flavoured? 1 = Yes; = No.
child_mproduct	Q6D	Has child drank yogurt drinks yesterday? 1 = Yes; 0 = No.
child_mproduct_freq	Q6Dnum	How many times has child rank yogurt drinks? Integer value.
child_mproduct_sweet	Q6Dswt	Yogurt drinks - sweet or flavored type yogurt
child_chocolate	Q6E	Chocolate-flavored drinks
child_juice	Q6F	Fruit juice or fruit-flavored drinks
child_soda	Q6G	Sodas, malt drinks, sports drinks or energy drinks
child_tea	Q6H	Tea, coffee, or herbal drinks
child_tea_sweet	Q6Hswt	Tea, coffee, or herbal drinks - sweetened
child_broth	Q6I	Clear broth or clear soup
child_oth_drink	Q6J	Any other liquids
child_oth_drink_sweet	Q6Jswt	Other liquids - sweetened
child_yogurt	Q7A	Yogurt, other than yogurt drinks
child_yogurt_frq	Q7Anum	Yogurt, other than yogurt drinks - frequency
child_rice	Q7B	Porridge, bread, rice, noodles, pasta
child_pumpkin	Q7C	Pumpkin, carrots, sweet potatoes (yellow or orange inside)
child_potatoes	Q7D	Plantains, white potatoes, white yams, manioc, cassava
child_leafyveg	Q7E	Dark green leafy vegetables
child_oth_veg	Q7F	Any other vegetables
child_mango	Q7G	Ripe mangoes, ripe papayas
child_fruit	Q7H	Any other fruits
child_organ	Q7I	Liver, kidney, heart
child_processmeat	Q7J	Sausages, hot dogs, ham, bacon, salami, canned meat
child_beef	Q7K	Any other meat, such as beef, pork, lamb, goat, chicken, duck
child_eggs	Q7L	Eggs
child_fish	Q7M	Fresh fish, dried fish or shellfish
child_beans	Q7N	Beans, peas, lentils, nuts , seeds
child_cheese	Q7O	Hard or soft cheese
child_sweets	Q7P	Sweet foods such as chocolates, candies, cakes and biscuits
child_snack	Q7Q	Chips, crisps, puffs, French fries, instant noodles
child_oth_food	Q7R	Any other solid, semi-solid or soft food
child_food_freq	Q8	number of any solid, semi-solid or soft foods yesterday

Source

CARE Myanmar

Examples

iycfData

iycfData

Package 'riycf'

Help Index

Construction of Dummy Variable(s)

Description

Usage

Arguments

Value

Author(s)

Examples

Construct exclusive breastfeeding status for under 6 months old child

Description

Usage

Arguments

Value

Author(s)

Examples

Construct other breastfeeding related indicators (from IYCF)

Description

Usage

Arguments

Value

Author(s)

Examples

Construct the food groups consumption score (from Minimum Dietary Diversity 6-23 months (MDD))

Description

Usage

Arguments

Value

Author(s)

Examples

Construct other breastfeeding related indicators (from IYCF)

Description

Usage

Arguments

Value

Author(s)

Examples

Determining Minimum Acceptable Diet

Description

Usage

Arguments

Value

Author(s)

Examples

Determining Minimum Meal Freq

Description

Usage

Arguments

Value

Author(s)

Examples

Determining Minimum Milk Feeding Frequency

Description

Usage

Arguments

Value

Author(s)

Examples

Infant and young child feeding indicators sample dataset

Description

Usage

Format

Source

Examples