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. 2011 Oct 24;9(1):143–154. doi: 10.1111/j.1740-8709.2011.00347.x

Table 2.

Estimates from mixed linear regression model for predictors of height‐for‐age z‐score at age 5 among Peruvian children (n = 1672)

Independent variable* Estimate P‐value 95% CI
Intercept −2.59
Context
Child's age (months) 0.01 0.0698 0.00, 0.02
Mother's age (years) 0.01 0.0008 0.01, 0.02
Wealth index in quintiles
 1 (wealthiest) 0.33 0.0004 0.15, 0.51
 2 0.27 0.0020 0.10, 0.44
 3 0.17 0.0382 0.01, 0.34
 4 −0.03 0.6750 −0.11, 0.17
 5 (poorest)
Number of siblings −0.14 <0.0001 −0.18, −0.10
Father present
 Daily/weekly both rounds
 Daily/weekly round 1, not round 2 0.02 0.8285 −0.15, 0.19
 Daily weekly round 2, not round 1 0.23 0.0388 0.01, 0.46
 Did not see father daily/weekly either round −0.23 0.0094 −0.41, −0.06
Site
 Rural
 Urban 0.22 0.0080 0.06, 0.39
Health and hygiene environment
Self‐reported health of child
 Same as other children 0.15 0.0466 0.00, 0.29
 Better than other children 0.30 <0.0001 0.16, 0.45
 Worse than other children
Hygiene environment (0–8 score, 0 = very clean) −0.09 <0.0001 −0.12, −0.06

Variables considered but not retained in the model include the following: child's sex, mother's mental health, grandparents in home, father plays frequently with child, mother received alimony, food secure and monthly household per capita food consumption. Food security is a composite of 18 variables derived from standardised questions from the Food Insecurity and Hunger Module, adapted for Peru (Vargas & Penny 2010). *Unless otherwise noted, data come from round 2 when children were 5 years of age. Data come from round 1 when children were 1 year of age. Data come from both round 1 and round 2. CI, confidence interval.