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Table 3 Logit model estimation results of factors influencing physical activities of the elderly

From: What intensity of exercise is most suitable for the elderly in China? A propensity score matching analysis

 

Vigorous physical activity

Moderate physical activity

Mild physical activity

Gender

3.08 (0.002)

−2.04 (0.041)

−0.45 (0.650)

Age

−0.36 (0.722)

− 0.87 (0.384)

0.98 (0.328)

Marital status

1.39 (0.165)

−0.73 (0.466)

0.40 (0.686)

Education background

−4.04(< 0.001)

0.82 (0.414)

2.92 (0.003)

Residential area

5.32(< 0.001)

−3.82(< 0.001)

− 1.43 (0.153)

Smoking

0.03 (0.973)

− 1.94 (0.052)

1.28 (0.201)

Drinking

9.83(< 0.001)

−1.64 (0.100)

− 3.04 (0.002)

Sleeping duration per day

−1.57 (0.116)

0.30 (0.765)

2.17 (0.030)

Insurance

−0.29 (0.773)

2.68 (0.007)

−1.04 (0.161)

Constant

−3.70(< 0.001)

−2.18 (0.029)

− 3.68(< 0.001)

LR chi2

178.22

18.79

33.48

Prob > chi2

< 0.001

42.81

< 0.001

Pseudo-R2

0.0161

0.0039

0.0031

Observations

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