Table 1.
Study characteristics: cross-sectional studies
| Study | Year | Participants | Age (mean, SD/range) | Creative ideation task | Physical activity measure | Study quality |
|---|---|---|---|---|---|---|
| Cantarero and Carranque [67] | 2016 | n = 40 | 32.95 (9.07) | Creative imagination test for adults [68] | International physical activity questionnaire [69] | 3 |
| Cavallera et al. [70] | 2011 | n = 61 | 21.64 (2.85) | Torrance test of creative thinking [71] | Hours of sport activity per week | 4 |
| Chen et al. [72] | 2021 | n = 40 | 22.98 (1.95) | Alternate uses test [73] | International physical activity questionnaire [69] | 4 |
| Latorre Román et al. [74] | 2017 | n = 308 | 9.72 (1.25) | Creative imagination test for children [75] | Fitness-test battery (20 m running speed) | 4 |
| Perchtold-Stefan et al. [76] | 2020 | n = 98 | 23.06 (3.40) |
Verbal imagination subscales of Berliner Intelligenzstruktur-test [77] test for creative thinking-drawing production [78] |
Freiburger questionnaire on physical activity [79] | 4 |
| Piya-Amornphan et al. (1–3) [80] | 2020 |
n1 = 521 n2 = 487 n3 = 439 |
6–9 1–13 14–17 |
Test for creative thinking-drawing production [78] | Thailand physical activity children survey-the student Questionnaire [81] | 3 |
| Rominger et al. [43] | 2020 | n = 79 | 22.95 (3.34) |
Alternate use task [73] Torrance test of creative thinking [71] |
Tri-axial acceleration sensors (counts/min) | 5 |
n number of participants, ni number of participants in the independent subsample i, numbers in parentheses designate the independent subsamples i, e.g., Piya-Amornphan et al. (1–3)