Table 1. Description of the parameters from the growth curve models.

	Parameters	Boys	Girls	P value
		Mean (95% CI)	Mean (95% CI)
Cohort A: weight (kg) growth modelling		N=246	N=235
	A	1.08 (1.04–1.12)	0.97 (0.90–1.03)	0.001
	B	5.27 (5.21–5.32)	5.18 (5.12–5.21)	0.03
	C	1.26 (1.20–1.31)	1.15 (1.11–1.18)	0.005
	D	4.60 (4.48–4.71)	4.55 (4.37–4.72)	0.2
	RSD	0.94
Cohort B: weight (kg) growth modelling		N=283	N=271
	A	5.86 (5.29–6.43)	5.66(5.09–6.23)	0.0001
	B	0.36 (0.32–0.40)	0.41 (0.37–0.46)
	C	6.01(5.19–6.83)	5.04 (4.18–5.90)
	D	1.30 (1.13–1.46)	1.27 (1.04–1.50)
	E	0.74 (0.11–1.39)	1.40 (0.32–2.48)
	U	50.6 (48.8–52.4)	44.8 (43.7–46.0)
	RSD	0.97
Cohort B: height (cm) growth modeling		N=275	N=274
	A	7.35 (6.39–8.32)	5.89 (5.34–6.43)	0.0001
	B	0.45 (0.38–0.51)	0.43 (0.39–0.48)
	C	55.8 (53.0–58.6)	52.2 (49.2–55.2)
	D	2.66 (2.32–2.99)	2.53 (2.08–2.96)
	E	14.4 (12.0–16.8)	17.1 (14.3–20.0)
	U	155.4 (154.1–156.7)	146.0 (144.9–147.0)
	RSD	0.90

CI, confidence interval; RSD, residual standard deviation.

Data from boys and girls fitted in one model allowing gender-specific parameters. P-value for the test of the difference between boys and girls (Cohort A: Student t-tests; cohort B: maximum likelihood ratio test for global difference).

Cohort A: Jenss growth curve model ; e^A gives an estimate of birth weight, e^−B gives an estimate of weight growth velocity at the highest ages (3 years here), e^C can be interpreted as the degree of growth spurt and e^D allows to model the curvature of the growth during the earliest ages (growth deceleration).

Cohort B: count Gompertz growth curve model ; U is an estimate of the final average size. This model has a childhood component described by the Count function (parameters C, D and E) and an adolescent component described by the Gompertz function (parameters A, B and C).