Table 4 Binary Logistic Regression Analyses Examining Any Tobacco Product Used in the Past 30 Days and Zero-inflated Regression Analyses Predicting the Number of Tobacco Products Used in the Past 30 Days Among Men (N = 1207) and Women (N = 2179)

1.29

0.72

2.30

.120

1.06

0.66

1.70

.825

0.77

0.31

1.96

.588

0.67

0.29

1.52

.228

1.12

0.55

2.30

.754

1.76

0.59

5.26

.310

0.95

0.90

1.01

.130

0.95

0.90

1.01

.105

1.02

0.92

1.12

.769

1.11

0.69

1.80

.666

0.93

0.61

1.43

.756

0.80

0.35

1.82

.588

0.72

0.46

1.12

.077

0.93

0.62

1.40

.737

1.47

0.77

2.83

.243

1.17

0.84

1.65

.096

0.97

0.72

1.31

.856

0.79

0.46

1.37

.404

1.21

0.91

1.61

.103

1.05

0.83

1.33

.697

0.82

0.53

1.26

.360

2.54

1.23

5.25

.045

1.10

0.55

2.20

.796

0.31

0.07

1.39

.125

1.63

1.09

2.44

.569

1.52

1.09

2.11

.013

1.80

0.45

1.41

.435

0.87

0.66

1.15

.326

0.85

0.67

1.09

.194

1.02

0.66

1.56

.946

1.92

1.10

3.35

.757

1.41

0.90

2.23

.136

0.63

0.24

1.61

.334

3.05

1.99

4.67

.002

1.31

0.96

1.80

.093

0.32

0.15

0.70

.004

1.01

0.96

1.07

.701

0.98

0.92

1.04

.438

0.96

0.87

1.06

.419

0.95

0.62

1.46

.815

0.87

0.53

1.42

.573

0.89

0.40

1.95

.766

1.25

0.94

1.66

.423

0.59

0.40

0.88

.009

0.36

0.15

0.88

.025

1.22

0.83

1.77

.669

1.29

0.80

2.08

.292

0.62

0.32

1.22

.168

2.03

1.51

2.73

.333

1.15

0.82

1.62

.407

0.51

0.32

0.83

.006

2.50

1.68

3.72

.016

1.29

0.80

2.08

.292

0.46

0.17

1.23

.122

2.33

1.71

3.17

.012

1.12

0.81

1.56

.486

0.37

0.22

0.63

<.001

1.11

0.88

1.39

.391

1.26

1.00

1.58

.050

1.10

0.75

1.61

.624