| Literature DB >> 32377447 |
Roberto Codella1,2, Mariangela Valentina Puci3, Matteo Vandoni4, Luca Correale4, Christel Galvani5, Fabio Togni6, Francesco Casolo7, Alberto Passi8, Claudio Orizio9, Giampietro Alberti1, Fabio Esposito1, Cristina Montomoli3, Antonio La Torre1.
Abstract
BACKGROUND: Perceived school self-efficacy (SE) is an important variable in students' activities as it affects their motivation and learning. Further, self-efficacy might represent a good predictor of performance, persistence and perseverance. Motor skills and other physical health determinants are extensively debated and linked to cognitive function in children of developmental age. However, inconclusive evidence supports a definitive relationship between perceived school SE and motor skills among schoolchildren. We conducted a cross-sectional study on 6-11-year-old schoolchildren to evaluate the extent by which perceived school SE and physical health determinants were related.Entities:
Keywords: Children; Motor skills; Physical education classes; School self-efficacy
Year: 2020 PMID: 32377447 PMCID: PMC7195827 DOI: 10.7717/peerj.8949
Source DB: PubMed Journal: PeerJ ISSN: 2167-8359 Impact factor: 2.984
Motor skills test results by males and females and in all sample.
| All ( | Males ( | Females ( | ||
|---|---|---|---|---|
| 6MWT (m) | ||||
| Mean ± sd | 629.86 ± 91.29 | 636.85 ± 92.92 | 622.60 ± 89.02 | <0.0001 |
| Median (p25–p75) | 630 (569–693) | 640 (575–700) | 620 (562–680) | |
| SBJ (cm) | ||||
| Mean ± sd | 124.44 ± 23.66 | 128.95 ± 23.48 | 119.75 ± 22.93 | <0.0001 |
| Median (p25–p75) | 124 (109–141) | 129 (113–145) | 119 (104–135) | |
| SRT (s) | ||||
| Mean ± sd | 14.25 ± 1.97 | 13.99 ± 1.95 | 14.52 ± 1.96 | <0.0001 |
| Median (p25–p75) | 14 (12.91–15.32) | 13.7 (12.61–15) | 14.24 (13.16–15.6) |
Notes:
T di Student test.
U-Mann Whitney test.
Figure 1Distribution of males and females by perceived school self-efficacy levels.
Variables associated with self-efficacy (SE) in the comparison of children with low-, moderate- and high-SE: multinomial logistic regression analysis (n = 3,962).
| RRRs | 95% CI | ||
|---|---|---|---|
| Low-SE vs high-SE | |||
| Age (year) | 1.103 | [1.005–1.218] | 0.049 |
| Males vs females | 1.809 | [1.543–2.122] | <0.001 |
| Weight (kg) | 1.002 | [0.987–1.018] | 0.718 |
| Height (cm) | 0.998 | [0.982–1.016] | 0.901 |
| 6MWT (m) | 0.996 | [0.995–0.997] | <0.001 |
| SRT (s) | 1.084 | [1.027–1.145] | 0.003 |
| SBJ (cm) | 0.997 | [0.992–1.002] | 0.303 |
| Moderate-SE vs high-SE | |||
| Age (year) | 0.975 | [0.872–1.09] | 0.650 |
| Males vs females | 1.385 | [1.160–1.65] | <0.001 |
| Weight (kg) | 1.001 | [0.984–1.02] | 0.917 |
| Height (cm) | 1.011 | [0.992–1.03] | 0.258 |
| 6MWT (m) | 0.998 | [0.997–0.999] | 0.001 |
| SRT (s) | 1.091 | [1.026–1.159] | 0.005 |
| SBJ (cm) | 0.999 | [0.994–1.005] | 0.874 |