Quantifying the health benefits of physical activity for groups based on cluster analysis
et
19 mars 2025
À propos de cet article
Publié en ligne: 19 mars 2025
Reçu: 23 oct. 2024
Accepté: 09 févr. 2025
DOI: https://doi.org/10.2478/amns-2025-0467
Mots clés
© 2025 Huan Huang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Figure 1.
Figure 2.
Benchmark regression analysis
| Model1 | Model2 | Model3 | Model4 | Model5 | |
|---|---|---|---|---|---|
| Variable | Physiological health | Mental health | Physiological health | Mental health | self-assessment |
| Physical exercise | 1.021 |
0.765 |
0.621 |
0.352 |
0.522 |
| (0.075) | (0.075) | (0.083) | (0.084) | (0.082) | |
| Age | - | - | -0.007 |
0.027 |
0.008 |
| - | - | (0.006) | (0.006) | (0.006) | |
| Gender | - | - | 0.155 |
0.116 |
0.165 |
| - | - | (0.065) | (0.066) | (0.065) | |
| Education | - | - | 0.231 |
0.243 |
0.187 |
| - | - | (0.025) | (0.026) | (0.025) | |
| Marital status | - | - | 0.086 | 0.266 |
0.09+G15 |
| - | - | (0.077) | (0.078) | (0.078) | |
| Working condition | - | - | 0.158 |
-0.134 |
0.097 |
| - | - | (0.073) | (0.073) | (0.074) | |
| Homing number | - | - | 0.015 | -0.015 | -0.025 |
| - | - | (0.023) | (0.023) | (0.023) | |
| Medical insurance | - | - | -0.217 |
0.156 | -0.057 |
| - | - | (0.122) | (0.122) | (0.123) | |
| Family number | - | - | 0.217 |
0.255 |
0.213 |
| - | - | (0.053) | (0.053) | (0.051) | |
| Observed value | 3519 | 3519 | 3519 | 3519 | 3519 |
| Ps-R2 | 0.017 | 0.013 | 0.035 | 0.031 | 0.026 |
ATT
| - | ATT | Physiological health | T | ATT | Mental health | T |
|---|---|---|---|---|---|---|
| Standard error | Standard error | |||||
| Before matching | 0.66 | 0.045 | 13.93 | 0.407 | 0.06 | 10.12 |
| After matching | - | - | - | - | - | - |
| Recent adjacent matching | 0.492 | 0.051 | 5.29 | 0.224 | 0.168 | 3.17 |
| Radius matching | 0.301 | 0.074 | 5.55 | 0.089 | 0.074 | 2.9 |
| Nuclear matching | 0.28 | 0.044 | 5.55 | 0.139 | 0.044 | 3.01 |
Test of matching effect
| Variable | Treated | Control | %Bias | T | P>T |
|---|---|---|---|---|---|
| Age | 66.897 | 66.862 | 0.5 | 0.11 | 0.83 |
| Gender | 0.516 | 0.51 | 1.8 | 0.48 | 0.665 |
| Marriage | 0.831 | 0.836 | 0.5 | 0.09 | 0.826 |
| Education | 2.917 | 2.964 | -4.6 | -1.44 | 0.146 |
| Hukou | 0.204 | 0.248 | -5.5 | -1.66 | 0.065 |
| Endowment insurance | 0.216 | 0.22 | -2.5 | -0.77 | 0.348 |
| ADL | 0.037 | 0.027 | 0 | 0 | 1 |
| IADL | 0.15 | 0.18 | -2.7 | -0.79 | 0.452 |
| Living mode | 0.941 | 0.929 | 1.3 | 0.35 | 0.706 |
| Community facilities | 0.87 | 0.874 | 1.8 | 0.72 | 0.502 |
| Chronic disease | 0.749 | 0.781 | -3 | -0.81 | 0.448 |
| Physical pain | 0.594 | 0.594 | 1.5 | 0.39 | 0.635 |
| Life satisfaction | 3.982 | 3.945 | 4.2 | 1.26 | 0.223 |
Results of heterogeneity testing
| - | - | Type of motivation | |||
|---|---|---|---|---|---|
| Active type | Enjoy type | Profit-cutting type | Depression type | ||
| Physiological health | Physical exercise | 0.715 |
0.362** | 0.466 |
0.745 |
| -6.92 | -2.47 | -3.92 | -6.51 | ||
| bdiff | - | 0.351** | - | 0.351** | |
| - | -0.019 | - | -0.055 | ||
| Control variable | Control | Control | Control | Control | |
| Mental health | Physical exercise | 0.384 |
0.218 | 0.228* | 0.435 |
| -3.69 | -1.35 | -1.83 | -3.82 | ||
| bdiff | - | 0.182 | - | -0.21 | |
| -0.146 | - | -0.1 | |||
| Control variable | Control | Control | Control | Control | |