| Literature DB >> 36246478 |
Abstract
As a compulsory course in universities, physical fitness is an important part of public health. At present, research on physical fitness lacks a comprehensive evaluation method, which cannot accurately guide public health. Based on this, this paper compares the key factors affecting public health, aiming to better guide public health and improve the level of public health. In this paper, 219 college students were selected as the research object, using statistical analysis methods, to find out the significant differences in influencing factors. Then, regression analysis is carried out on different influencing factors to determine the key factors affecting physical fitness. The results show that physical fitness level, exercise frequency, and physical injury are the key factors affecting physical fitness and have a serious impact on public health, with an impact level of about 70~80%. Therefore, colleges and sports departments should set out from the above factors, formulate a development plan for physical fitness, and promote the improvement of public health.Entities:
Mesh:
Year: 2022 PMID: 36246478 PMCID: PMC9556183 DOI: 10.1155/2022/8197903
Source DB: PubMed Journal: J Environ Public Health ISSN: 1687-9805
Figure 1Relationship between physical fitness supply and public health level requirements.
Figure 2Comparison of physical fitness among different groups.
The comparison of physical fitness level and fitness consciousness guidance level of investigators.
| Group | Before the COVID-19 pandemic appeared | After the COVID-19 pandemic appeared, | ||||
|---|---|---|---|---|---|---|
| Physical fitness level (%) | Guidance level of fitness awareness (%) | Exercise frequency (%) | Physical fitness level (%) | Guidance level of fitness awareness (%) | Exercise frequency (%) | |
| Implement physical fitness | 56.33 ± 5.21 | 12.61 ± 6.42 | 23.34 ± 5.27 | 88.71 ± 6.22∗ | 186.49 ± 11.24∗ | 120.13 ± 9.82∗ |
| Physical fitness has not been implemented | 57.84 ± 5.62 | 12.97 ± 6.53 | 23.52 ± 5.42 | 67.42 ± 6.97∗ | 159.14 ± 7.27∗ | 103.62 ± 8.14∗ |
|
| 0.907 | 0.176 | 0.107 | 10.192 | 9.137 | 5.239 |
|
| 0.3703 | 0.8612 | 0.9164 | 0.0003 | 0.0002 | 0.0002 |
Note: Compared with that before implementation, ∗P < 0.05.
The Comparison of exercise frequency, physical injury, and value influence range.
| Exercise frequency | Physical injury | Value influence range | ||||
|---|---|---|---|---|---|---|
| Weekly | Monthly | Timely treatment | Simple treatment | Significant impact | Small impact | |
| Before the COVID-19 pandemic appeared ( | 18 | 2 | 16 | 4 | 18 | 2 |
| After the COVID-19 pandemic appeared ( | 12 | 8 | 10 | 10 | 11 | 9 |
|
| 4.800 | 3.956 | 6.144 | |||
|
| 0.0293 | 0.0472 | 0.0131 | |||
Evaluation elements with significant differences.
| Factors that differ | Assignment | Remarks |
|---|---|---|
| Physical fitness level (%) | < | Mainly physical fitness, endurance, strength, and other indicators of exercisers |
| Guidance level of fitness awareness (%) | < | Exercise awareness, fitness awareness, etc. |
| Exercise frequency (%) | < | Weekly frequency, daily frequency |
| Physical injury (%) | <50 = 0, >50 = 1 | Joints, muscles, psychology |
| Value influence range | > | Self-worth, social value |
Figure 3Fishbone diagram of the overall result.
Influence analysis of multiple regression of influence value.
| Correlation evaluation |
|
|
|
|
|
|---|---|---|---|---|---|
| Physical fitness level (%) | 12.512 | 5.152 | 2.612 | 2.121 | 0.0001 |
| Guidance level of fitness awareness (%) | 2.785 | 2.372 | 6.263 | 2.822 | 0.3022 |
| Exercise frequency (%) | 10.410 | 4.105 | 8.821 | 2.232 | 0.0001 |
| Physical injury (%) | 8.317 | 12.271 | 1.122 | 2.133 | 0.0002 |
| Value influence range | 7.426 | 9.447 | 1.627 | 2.823 | 0.0003 |
Figure 4Influence analysis result of multiple regression.