Can you please help with the interpretation of these coefficients from a GLS model in R?

where wt=child's weight in kg; parity= 0 (1-4 live births, reference ) vs. 1 (5 or more live births)=mother's parity; fuvisit= visit # from 0 to 4, each 4 months apart; age (in months) modeled as a spline with knot at 24 months; id= child's id (multiple observations per id)

fit.gls = gls(wt~ns(age,2)*parity, data = d, correlation=corAR1(form=~fuvisit|id), weights=varFunc(~age))

	Value	SE	p-value
Intercept	4.38	0.09	<0.001
Age<2	15.23	0.36	<0.001
Age>2	7.23	0.5	<0.001
5 or more live births (vs. 1-4 live births)	-0.13	0.14	0.34
Age<2: 5 or more live births (vs. 1-4 live births)	0.97	0.54	0.07
Age>2: 5 or more live births (vs. 1-4 live births)	0.43	0.72	0.54