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. 2016 Aug 31;146(10):2075–2084. doi: 10.3945/jn.116.232314

TABLE 3.

Anthropometric indicators in children aged 6–23.9 mo and 24–47.9 mo by program and survey round1

Baseline (T1)
 End line (T2)
Intensive Nonintensive Intensive Nonintensive Intensive T2 − T1 Nonintensive T2 − T1 Pure ITT DDE2 Adjusted ITT DDE3 Fully adjusted DDE4
Children 24–47.9 mo of age, n 1086 1091 1099 1100
 Stunting 51.8 50.0 45.5 44.8 −6.22** −5.20* −1.00 −1.10 −1.60
 HAZ −2.08 ± 1.12 −2.00 ± 1.18 −1.86 ± 1.17 −1.86 ± 1.24 0.22*** 0.14** 0.07 0.07 0.02
 Underweight 48.3 44.4 41.7 39.3 −6.58** −5.17* −1.40 −1.50 −1.80
 WAZ −1.97 ± 1.02 −1.88 ± 1.01 −1.76 ± 1.00 −1.73 ± 1.05 0.21*** 0.16*** 0.05 0.05 −0.01
 Wasting 19.2 17.9 16.7 16.4 −2.53 −1.41 −1.10 −0.70 −1.00
 WHZ −1.16 ± 1.10 −1.07 ± 1.11 −1.03 ± 1.05 −0.98 ± 1.09 0.13** 0.08 0.05 0.04 0.01
Children 6–23.9 mo of age, n 603 608 500 503
 Stunting 45.4### 35.2 38.1 32.5 −7.32* −2.72 −4.60 −4.70 −4.60
 HAZ −1.87 ± 1.32### −1.54 ± 1.38 −1.53 ± 1.43 −1.36 ± 1.45 0.34*** 0.18* 0.17 0.17 0.20
 Underweight 43.4### 33.8 34.3 29.3 −9.20** −4.50 −4.80 −4.70 −4.50
 WAZ −1.75 ± 1.21## −1.58 ± 1.08 −1.59 ± 1.09 −1.39 ± 1.12 0.16* 0.19** −0.03 −0.02 −0.00
 Wasting 21.6 18.2 20.2 17.7 −1.33 −0.51 −0.80 −0.80 −0.90
 WHZ −1.08 ± 1.24 −1.06 ± 1.11 −1.11 ± 1.19 −0.93 ± 1.26 −0.03 0.12 −0.15 −0.15 −0.21
1

Values are means ± SDs or percentages. DDEs with clustered SEs compare A&T intensive and nonintensive areas in 2010 and 2014. All P values obtained from regression models. *,**,***Significant change from baseline to end line: *P < 0.05, **P < 0.01, ***P < 0.001. #,##,###Different from nonintensive at that time: #P < 0.05, ##P < 0.01, ###P < 0.001. A&T, Alive & Thrive; DDE, difference-in-difference impact estimate; HAZ, height-for-age z score; ITT, intention to treat; T, time; WAZ, weight-for-age z score; WHZ, weight-for-height z score.

2

Accounts for geographic clustering only.

3

Accounts for geographic clustering, child sex, and child age.

4

Accounts for geographic clustering, child sex, child age, variables that are different at baseline (mother’s age, ownership of land, and number of prenatal visit), and variables that are different in improvement at baseline and end line (occupation, number of prenatal care, iron folic supplement, child age and sex).