Table 4.

Summary of spline logistic regression for taking outside by country

Country	M	SD	Knot estimate	rpb (0–4mo)	rpb (5–11mo)
High HDI	.83	.37	3.860	.31***	.10***
Albania	.70	.50	1.000	.35***	.20
Belarus	.89	.31	7.666	.20*	.06
Bosnia and Herzegovina	.94	.23	1.000	.27***	.11*
Kazakhstan	.83	.37	3.174	.31***	.07
Macedonia	.81	.39	3.446	.27***	.13*
Montenegro	.85	.36	12.009	.49***	.21*
Serbia	.74	.44	7.099	.35***	.11*
Trinidad and Tobago	.92	.27	6.036	.13	.06
Medium HDI	.71	.46	3.036	.28***	.05***
Bangladesh	.76	.43	2.141	.34***	.06***
Belize	.86	.35	7.410	.26*	−.06
Cameroon	.70	.46	3.102	.34***	.04
Djibouti	.11	.31	21.440	.04	.07
Georgia	.94	.25	−2.099	.33***	.04
Ghana	.75	.43	1.701	.29***	.03
Guyana	.83	.38	3.341	.41***	.01
Jamaica	.88	.32	3.778	.33***	−.02
Kyrgyzstan	.71	.45	6.662	.24***	.01
Laos	.58	.49	3.000	.21***	.04
Mauritania	.42	.49	4.554	.21***	.03
Mongolia	.78	.42	7.000	.15**	.08
Suriname	.83	.38	3.928	.26***	.01
Syria	.68	.47	4.222	.26***	.05
Tajikistan	.73	.44	3.937	.24***	.05
Thailand	.90	.30	2.879	.33***	.08**
Uzbekistan	.86	.35	1.676	.35***	.15***
Vanuatu	.90	.31	2.498	.23**	.02
Vietnam	.55	.50	3.188	.37***	.17**
Yemen	.39	.49	8.863	.28***	.12**
Low HDI	.69	.46	3.189	.19***	.04***
Burkina Faso	.72	.45	6.445	.14**	−.06
Central African Republic	.64	.50	6.091	.20***	−.04
Côte d’ Ivorie	.88	.33	1.350	.26***	.09**
Gambia	.64	.48	6.394	.19***	.16***
Guinea-Bissau	.34	.47	5.000	.08	−.00
Nigeria	.69	.46	3.223	.20***	.07**
Sierra Leone	.85	.35	.829	.22***	.13**
Togo	.70	.46	1.386	.31***	.04
HDI N/A	.38	.49	6.053	.22***	.08***
Iraq	.39	.49	3.215	.26***	.08***
Somalia	.37	.48	6.886	.11**	.05
TOTAL	.68	.47	4.118	.25***	.06***

Note. HDI = Human Development Index. Correlations that significantly changed at 4 months of age are bolded.

^*p ≤ .05.

^**p ≤ .01.

^***p ≤ .001.

^aAverage of individual country knots excluding out-of-range estimates.