Research Article
Active Transport and Health Outcomes: Findings from a Population Study in Jiangsu, China
Table 1
Characteristics of study participants (%).
| | AT | Non-AT | Total |
| Gender* | | | | Male | 41.72 | 48.82 | 45.30 | Female | 58.28 | 51.18 | 54.70 | Residence | | | | Urban | 35.45 | 35.97 | 35.71 | Rural | 64.55 | 64.03 | 64.29 | Age* | | | | 18–34 | 10.01 | 14.10 | 12.07 | 35–44 | 17.28 | 23.64 | 20.49 | 45–54 | 22.18 | 23.59 | 22.89 | 55–64 | 27.72 | 20.55 | 24.11 | ~65 | 22.80 | 18.12 | 20.44 | Educational level* | | | | Low | 51.15 | 44.71 | 47.90 | Medium | 42.22 | 49.50 | 45.89 | High | 6.63 | 5.79 | 6.20 | Household income level* | | | | Low | 41.67 | 35.16 | 38.42 | Medium | 32.82 | 34.84 | 33.83 | High | 25.51 | 30.01 | 27.75 | Overall physical activity level* | | | | Inactive | 7.42 | 21.15 | 13.28 | Moderate | 34.66 | 33.07 | 33.98 | Active | 57.92 | 45.78 | 52.74 |
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*
P < 0.01.
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