Table 3

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

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


n.s. = Not Significant

Buis et al. BMC Public Health 2009 9:331   doi:10.1186/1471-2458-9-331

Open Data