Anthropometry data from Wash Benefits Bangladesh Children

Format

A data frame with 9342 rows and 46 variables:

dataid

Unique observation ID

childid

Child ID

dataid

Compound ID

childid

Child ID

motherid

Mother ID

tchild

Target child in birth cohort

clusterid

Cluster ID

block

Randomization block ID

tr

Treatment assignment

svy

Survey round (0,1,2)

anthrodate

Date of anthro measurement

month

Month of measurement

c404

Maternal weight meas 1

c405

Maternal weight meas 2

c406

Maternal weight meas 3

c408

Child weight w/ mother meas 1

c409

Child weight w/ mother meas 2

c410

Child weight w/ mother meas 3

c414

Child length meas 1

c415

Child length meas 2

c416

Child length meas 3

c418

Head circumference meas 1

c419

Head circumference meas 2

c420

Head circumference meas 3

sex

Sex

birthord

Birth order (target child)

aged

Age in days (anthro meas)

agem

Age in months (anthro meas)

agey

Age in years (anthro meas)

weight

Child weight (median), kg

length

Child length (median), cm

headcir

Child head circumference (median), cm

laz

Length/height-for-age Z-score

laz_x

abs(LAZ)>6, set to missing

lazminus2

Stunted (LAZ<-2)

lazminus3

Severely Stunted (LAZ<-3)

waz

Weight-for-age Z-score

waz_x

WAZ < -6 or WAZ > 5, set to missing

wazminus2

Underweight (WAZ<-2)

wazminus3

Severely Underweight (WAZ<-3)

whz

Weight-for-length/height Z-score

whz_x

abs(WHZ)>5, set to missing

whzminus2

Wasted (WHZ<-2)

whzminus3

Severely Wasted (WHZ<-3)

bmiz

BMI-for-age Z-score

bmiz_x

abs(BMIZ)>5, set to missing

hcz

Head circumference-for-age z-score

hcz_x

abs(HCZ)>5, set to missing