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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