From: Analyzing the impact of an MDG-Fund program on childhood malnutrition in Timor-Leste
 | Z-score increase | |||||
---|---|---|---|---|---|---|
No JP | JP | Â | ||||
Abs. Diff | % | Abs. Diff | % | Abs. diff | ||
HAZ-scores (indicating stunting) | Â | Â | Â | Â | Â | Â |
Overall |  | 57 | 25 | − 20 | − 14 | − 77 |
BMI class | Overweight | 36 | 17 | 40 | 20 | 4.1 |
Partner’s occ | Agric-employee | 100 | 36 | 115 | 59 | 16 |
 | Skilled manual | 27 | 13 | 59 | 25 | 32 |
WAZ-scores (indicating underweight) | ||||||
Overall |  | 14 | 8 | 12 | 7 | − 2.2 |
Owns livestock | No | 0.36 | 0 | 38 | 23 | 38 |
Males–females | Females | 7.3 | 5 | 37 | 20 | 30 |
Age of child | 1 | 9.7 | 6 | 18 | 10 | 8.0 |
 | 2 | 16 | 9 | 17 | 9 | 0.49 |
 | 3 | 9.0 | 4 | 26 | 12 | 17 |
BMI class | Underweight | 19 | 9 | 37 | 17 | 18 |
 | Overweight | 7.6 | 5 | 37 | 21 | 30 |
Wealth | Richer | 1.4 | 1 | 13 | 7 | 11 |
 | Richest | 20 | 14 | 39 | 22 | 19 |
Agricultural land |  >  = 3 ha | 9.6 | 6 | 35 | 19 | 25 |
Mother's highest edu | Primary | 2.3 | 1 | 21 | 11 | 19 |
 | Incomplete sec | 2.5 | 1 | 13 | 8 | 11 |
 | Complete sec | 0.12 | 0 | 13 | 8 | 12 |
Partner’s occ | Skilled manual | 6.2 | 4 | 36 | 17 | 30 |
 | Unskilled manual | 5.3 | 3 | 11 | 7 | 5.5 |
Size of child at birth | Smaller | − 17 | − 9 | 27 | 13 | 45 |
WHZ-scores (indicating wasting) | ||||||
Overall |  | − 30 | − 45 | 37 | 28 | 66 |
Owns livestock | No | − 48 | − 72 | 71 | 49 | 119 |
 | Yes | − 27 | − 40 | 26 | 21 | 53 |
Males–females | Males | − 28 | − 39 | 27 | 20 | 55 |
 | Females | − 31 | − 52 | 48 | 36 | 79 |
Type of place of residence | Urban | − 28 | − 43 | 33 | 27 | 61 |
 | Rural | − 31 | − 46 | 36 | 27 | 67 |
Current age of child | 0 | − 47 | − 349 | 29 | 34 | 76 |
 | 1 | − 33 | − 47 | 31 | 26 | 63 |
 | 2 | − 23 | − 33 | 40 | 27 | 63 |
 | 3 | − 34 | − 48 | 51 | 36 | 86 |
 | 4 | − 15 | − 16 | 23 | 15 | 38 |
BMI class | Underweight | − 43 | − 47 | 37 | 24 | 80 |
 | Normal weight | − 31 | − 50 | 34 | 27 | 66 |
 | Overweight | − 21 | − 50 | 27 | 29 | 48 |
Wealth | Poorest | − 28 | − 44 | 17 | 13 | 45 |
 | Poorer | − 45 | − 78 | 34 | 28 | 79 |
 | Middle | − 16 | − 22 | 41 | 29 | 58 |
 | Richer | − 40 | − 63 | 52 | 36 | 93 |
 | Richest | − 16 | − 23 | 37 | 35 | 53 |
Agricultural land | No land | − 17 | − 20 | 72 | 43 | 89 |
 |  >  = 3 ha | − 42 | − 73 | 39 | 32 | 81 |
Mother’s highest edu | None | − 34 | − 53 | 30 | 23 | 64 |
 | Incomplete primary | − 44 | − 70 | 33 | 23 | 77 |
 | Primary | − 24 | − 35 | 20 | 14 | 44 |
 | Incomplete sec | − 29 | − 44 | 42 | 31 | 72 |
 | Complete sec | − 32 | − 49 | 16 | 17 | 48 |
 | Higher | − 0.5 | − 1 | 73 | 46 | 73 |
 | Prof., Tech., Manag | − 17 | − 22 | 36 | 27 | 53 |
 | Agric-self employed | − 48 | − 73 | 40 | 30 | 88 |
 | Skilled manual | − 14 | − 16 | − 1 | − 1 | 12 |
 | Unskilled manual | − 45 | − 74 | 24 | 25 | 69 |
Size of child at birth | Smaller | − 45 | − 58 | 47 | 34 | 92 |
 | Average | − 21 | − 29 | 52 | 35 | 73 |
 | Larger | − 44 | − 110 | 17 | 17 | 60 |