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Table 5 Results of the mixed effects regression analyses for race time in the ‘Lausanne Marathon’

From: Increase in participation but decrease in performance in age group mountain marathoners in the ‘Jungfrau Marathon’: a Swiss phenomenon?

Parameter	Estimate	Standard error	df	t	p value
18–24
Constant term	−1671.42	652.21	775.44	−2.56	0.011
Female sex	25.36	3.65	729.37	6.94	<0.0001
Calendar year	0.94	0.32	775.44	2.91	0.004
25–29
Constant term	−54.73	399.06	1839.49	−0.13	0.891
Female sex	26.47	2.23	1660.61	11.86	<0.0001
Calendar year	0.13	0.19	1839.50	0.70	0.483
30–34
Constant term	−556.59	305.88	2861.85	−1.82	0.069
Female sex	26.87	1.79	2595.44	15.00	<0.0001
Calendar year	0.38	0.15	2861.88	2.54	0.011
35–39
Constant term	−1098.15	247.61	3963.50	−4.43	<0.0001
Female sex	23.05	1.48	3494.68	15.49	<0.0001
Calendar year	0.65	0.12	3963.51	5.33	<0.0001
40–44
Constant term	−703.52	241.15	4445.91	−2.91	0.004
Female sex	24.70	1.40	3881.69	17.53	<0.0001
Calendar year	0.46	0.12	4445.94	3.85	<0.0001
45–49
Constant term	−546.72	278.20	3485.36	−1.96	0.049
Female sex	29.93	1.61	2969.98	18.53	<0.0001
Calendar year	0.38	0.13	3485.35	2.79	0.005
50–54
Constant term	−771.09	333.87	2366.70	−2.31	0.021
Female sex	28.46	2.08	2005.98	13.67	<0.0001
Calendar year	0.50	0.16	2366.72	3.02	0.003
55–59
Constant term	−1001.66	493.28	1277.73	−2.03	0.043
Female sex	31.87	3.07	1026.03	10.36	<0.0001
Calendar year	0.62	0.24	1277.73	2.52	0.012
60–64
Constant term	−1639.41	705.31	643.37	−2.32	0.020
Female sex	44.02	4.73	542.93	9.28	<0.0001
Calendar year	0.94	0.35	643.37	2.68	0.007
65–69
Constant term	−2890.45	1215.31	217.99	−2.37	0.018
Female sex	43.60	8.10	178.72	5.38	<0.0001
Calendar year	1.57	0.60	217.99	2.60	0.010
70–74
Constant term	−2691.53	2308.33	56.65	−1.16	0.248
Female sex	89.32	21.71	53.54	4.11	<0.0001
Calendar year	1.47	1.14	56.65	1.28	0.203
75–79
Constant term	−669.16	4482.108462	13.40	−0.14	0.884
Female sex	43.69	26.92	9.86	1.62	0.136
Calendar year	0.49	2.23	13.40	0.22	0.829

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