Table 3.
Stunting | Wasting | Overweight | ||||
---|---|---|---|---|---|---|
Variable | Coefficient | 95 % CrI | Coefficient | 95 % CrI | Coefficient | 95 % CrI |
Intercept | 12·573 | 11·016, 14·147 | 1·374 | −0·512, 3·254 | −8·308 | −13·873, −2·784 |
Child’s age (months) | 0·019 | 0·015, 0·022 | −0·007 | −0·011, −0·003 | −0·006 | −0·018, 0·005 |
Child’s sex | ||||||
Male | 0 | – | 0 | – | 0 | – |
Female | −0·098 | −0·203, 0·008 | −0·129 | −0·265, 0·007 | −0·043 | −0·434, 0·344 |
Mother’s age at first birth (years) | −0·024 | −0·042, −0·006 | −0·010 | −0·034, 0·013 | 0·021 | −0·041, 0·078 |
Mother’s height (cm) | −0·084 | −0·094, −0·074 | −0·017 | −0·029, −0·004 | 0·020 | −0·016, 0·056 |
First birth | ||||||
No | 0 | – | 0 | – | 0 | – |
Yes | 0·007 | −0·107, 0·121 | 0·064 | −0·082, 0·209 | −0·104 | −0·517, 0·301 |
Mother’s education | ||||||
Illiterate | 0 | – | 0 | – | 0 | – |
1–5 years of schooling | −0·042 | −0·204, 0·119 | 0·098 | −0·112, 0·312 | 0·294 | −0·483, 1·176 |
6–9 years of schooling | −0·268 | −0·432, −0·104 | −0·013 | −0·229, 0·205 | 0·362 | −0·379, 1·227 |
≥10 years of schooling | −0·389 | −0·653, −0·128 | 0·043 | −0·288, 0·369 | 0·764 | −0·116, 1·739 |
Place of residence | ||||||
Rural | 0 | – | 0 | – | 0 | – |
Urban | 0·140 | 0·007, 0·273 | −0·168 | −0·344, 0·005 | −0·056 | −0·523, 0·405 |
Wealth index | ||||||
Poor | 0 | – | 0 | – | 0 | – |
Poorer | −0·312 | −0·473, −0·152 | −0·036 | −0·238, 0·164 | 0·135 | −0·660, 0·937 |
Middle | −0·394 | −0·560, −0·228 | −0·224 | −0·439, −0·011 | 0·386 | −0·352, 1·165 |
Richer | −0·698 | −0·877, −0·52 | −0·374 | −0·606, −0·143 | −0·042 | −0·876, 0·799 |
Richest | −1·251 | −1·473, −1·031 | −0·434 | −0·712, −0·159 | 1·213 | 0·462, 2·023 |
Unstructured random effect | 0·095 | 0·192, 0·048 | 0·125 | 0·266, 0·056 | 0·009 | 0·046, 0·004 |
Structured random effect | 0·291 | 0·442, 0·191 | 0·150 | 0·358, 0·061 | 0·165 | 0·667, 0·063 |
DIC | 8179·12 | 5658·81 | 1065·54 |
CrI, credible interval; DIC, deviance information criterion.
Spatial model adjusting for both the district-level clustering and spatial (neighbouring) effects in addition to individual-level risk factors.