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Table 3 Logistic regression model results for testing-specific analysis (Stage 5 to 6)

From: Using the precaution adoption process model and the health belief model to understand radon testing and mitigation: a pre-post quasi-experimental study

Construct

Question

Full Model Odds Ratio (95% Confidence Interval) N = 1417

Refined Model Odds Ratio (95% Confidence Interval) N = 1449

Demographic/ lifestyle

Age of youngest person in home (older than 18 vs. 18 and under)

1.88 (1.47—2.39)***

1.85 (1.45 – 2.34)***

Smoking status (rest vs. any known current smoker)

1.65 (1.11—2.45)*

1.66 (1.11 – 2.45)*

Perceived susceptibility

Radon is a problem in my area/neighbourhood. (agree vs. disagree/neutral)

1.50 (0.85—2.80)

 

My home likely has enough radon that I should do something about it. (agree vs. disagree/neutral)

1.66 (0.98—2.94)

 

If radon is in my home, it is likely that someone in my household will get sick from it. (agree vs. disagree/neutral)

1.32 (0.78—1.67)

 

Perceived severity

If someone in my household got sick from radon, it would be very serious. (agree vs. disagree/neutral)

1.14 (0.74—2.29)

 

Perceived benefits

If I reduced the levels of radon in my home, it would reduce the chances of someone getting sick from it. (agree vs. disagree/neutral)

1.57 (1.08—2.29)*

1.91 (1.39 – 2.62)***

Perceived barriers/self-efficacy

If I had high levels of radon in my home, I wouldn’t have the time to fix it. (agree/neutral vs. disagree)

0.78 (0.58—1.05)

 

If I had high levels of radon in my home, it would be too expensive to fix. (agree vs. disagree/neutral)

0.72 (0.52—1.00)*

0.64 (0.47 – 0.87)**

Even if a radon problem was fixed, my home would still be worth a lot less. (agree/neutral vs. disagree)

0.82 (0.64—1.05)

 
  1. Statistical significance level in the models denoted by: ‘***’ for < 0.001, ‘**’ for < 0.01, and ‘*’ for < 0.05