Advertisement

Sports Medicine

, Volume 48, Issue 8, pp 1989–1990 | Cite as

Correction to: Relative Age Effects Across and Within Female Sport Contexts: A Systematic Review and Meta-Analysis

  • Kristy L. Smith
  • Patricia L. Weir
  • Kevin Till
  • Michael Romann
  • Stephen Cobley
Correction
  • 396 Downloads

1 Correction to: Sports Med  https://doi.org/10.1007/s40279-018-0890-8

An Online First version of this article was made available at https://link.springer.com/article/10.1007/s40279-018-0890-8 on 13 March 2018. Some errors were subsequently identified by the authors, particularly in regard to Table 4. Although the details pertained to in the table were correct in the original manuscript, it appears that errors were introduced during production of the article. The published article has now been updated with a corrected version of Table 4. This corrected version of the table is also shown below.
Table 4

Summary of quartile (Q1) vs. quartile (Q4) subgroup analyses according to identified moderating factors

Random-effects model

Subgroup estimates

Mixed-effects between subgroup analysis

Subgroup heterogeneity

Moderator variable Subgroup

(No. of samples)

Point estimatea

95% CI

Z valueb

p valuec

Qd Between value

p value

Q in subgroup

p in subgroup

I2 subgroupe

Q within

p within

Age

 Pre-adolescent [≤ 11 y]

(51)

1.33

1.251.42

8.68

0.0001

  

238.13

0.0001

79.00

 Adolescent [12–14 y]

(55)

1.28

1.191.37

7.05

0.0001

  

241.83

0.0001

77.67

 Post-adolescent [15–19 y]

(91)

1.14

1.081.20

4.79

0.0001

  

707.57

0.0001

87.28

 Adult [> 19 y]

(32)

1.08

0.971.19

1.44

0.14

  

55.10

0.005

43.74

Not codable into above

(79)

1.37

1.291.46

9.74

0.0001

31.24

0.0001

369.12

0.0001

78.86

        

1611.78

0.0001

 

Competition level

 Recreational

(76)

1.08

1.021.14

2.83

0.005

  

1028.85

0.0001

92.71

 Competitive

(71)

1.39

1.301.50

9.38

0.0001

  

243.92

0.0001

71.30

 Representative

(44)

1.45

1.311.61

7.24

0.0001

  

126.83

0.0001

66.09

 Elite adolescent

(5)

2.70

1.764.12

4.58

0.0001

  

6.64

0.15

39.81

 Elite post-adolescent

(18)

1.65

1.411.92

6.48

0.0001

  

35.92

0.005

52.67

 Elite adult

(12)

1.27

1.02–1.50

2.19

0.02

  

9.20

0.60

0.00

 Elite, combination of age

(26)

1.42

1.26–1.61

5.65

0.0001

  

56.16

0.0001

55.48

 Not codable into above

(56)

1.19

1.12–1.27

5.40

0.0001

77.09

0.0001

357.62

0.0001

84.62

        

1865.17

0.0001

 

Sport type

 Team

(154)

1.33

1.27–1.39

12.51

0.0001

  

689.01

0.0001

77.79

 Individual

(154)

1.18

1.12–1.24

5.26

0.0001

     

  Physically demanding

(88)

1.23

1.16–1.30

7.19

0.0001

  

1125.83

0.0001

92.82

  Technique (skill) based

(59)

1.06

0.97–1.16

1.36

0.17

  

118.20

0.0001

51.77

  Weight categorised

(7)

1.18

0.93–1.51

1.38

0.16

20.58

0.001

7.48

0.27

19.81

        

2040.54

0.0001

 

Study Quality

 Lower (scores 5–9)

(38)

1.63

1.46–1.82

8.55

0.0001

  

72.48

0.0001

48.95

 Medium [10–11]

(92)

1.29

1.22–1.37

8.72

0.0001

  

348.55

0.0001

73.89

 Higher [12–14]

(178)

1.19

1.14–1.25

8.46

0.0001

27.44

0.001

1596.47

0.0001

88.91

        

2017.51

0.0001

 

CI confidence interval

aPoint estimate = pooled overall odds ratio (Q1 vs. Q4) estimate

bZ value = reflects the test for an overall effect

cp = indicating probability of significance (p ≤ 0.05)

dQ value = dispersion of studies about the point estimate overall or within the subgroup

eI2 = reflects heterogeneity within the subgroup

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Faculty of Human KineticsUniversity of WindsorWindsorCanada
  2. 2.Institute for Sport, Physical Activity and LeisureLeeds Beckett UniversityLeedsUK
  3. 3.Swiss Federal Institute of Sport MagglingenMagglingenSwitzerland
  4. 4.Exercise and Sport Sciences, Faculty of Health SciencesThe University of Sydney, Cumberland CampusSydneyAustralia

Personalised recommendations