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Table 3 Zero-Inflated Poisson analysis predicting participant goal meeting and excess zeros predicted by logistic regression

From: Evaluating Active U: an internet-mediated physical activity program

 

Met Goals

 

Zero-Inflated Poisson Regression Predicting Count

Predicting Excess Zeros

 

IRR

P

OR

P

Gender

    

Female

Ref

 

Ref

 

Male

0.98

0.25

1.47

< .001

Age

    

18 - 29

Ref.

 

Ref.

 

30 - 39

1.04

0.24

0.78

0.01

40 - 49

1.12

< .001

0.79

0.02

50 - 59

1.22

< .001

0.67

< .001

60 - 69

1.19

< .001

0.64

0.01

70+

1.44

0.01

0.69

0.54

Employment Type

    

Faculty

0.93

0.04

1.13

0.24

Staff

Ref.

 

Ref.

 

Graduate Students

0.90

0.04

1.83

< .001

Health Status

    

Poor

0.90

0.29

1.23

0.46

Fair

1.02

0.60

1.39

0.002

Good

Ref.

 

Ref.

 

Very Good

1.00

0.84

0.90

0.14

Excellent

0.97

0.29

0.97

0.78

BMI

    

< 20

1.04

0.30

n.s.

 

20 - 24.9

Ref.

 

Ref.

 

25 - 29.9

0.95

0.02

n.s.

 

30 - 34.9

0.97

0.25

n.s.

 

≥ 35

0.90

0.01

n.s.

 

Baseline Physical Activity

    

Sedentary

Ref.

 

Ref.

 

Active

1.00

0.98

1.15

0.07

Team Participation

    

Individual

Ref.

 

Ref.

 

Team with 2-4 People

1.01

0.92

0.54

0.005

Team with ≥ 5 People

1.28

< .001

0.18

< .001

  1. n.s. = Not Significant