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Table 2 Logistic regression predicting accurate awareness of engagement with MVPA from independent variables (n = 1,724)

From: Awareness of moderate-to-vigorous physical activity: can information on guidelines prevent overestimation?

Predictor Β Standard error Wald Odds ratio Lower 95% CI limit Upper 95% CI limit
Model 1: Hypothetical predictors of accurate awareness of engagement with MVPA       
Gender (male) .12 .11 1.26 1.13 .91 1.41
Age (45 and over) .16 .11 2.08 1.17 .95 1.45
Ethnicity (white) -.09 .20 .22 .91 .62 1.34
Marital status (married) .14 .11 1.75 1.15 .93 1.42
Education (low education i.e. highest level of education is completing secondary school) .08 .2 .14 1.08 .73 1.61
Employment (part-time or unemployed) -.01 .11 .00 .99 .80 1.24
Knowledge (accurate) .06 .13 .22 1.06 .82 1.38
Subjective norms* (high) .61 .18 11.44 1.84 1.29 2.63
Health* (above average) -.34 .16 4.74 .71 .53 .97
Model 2: Exploratory predictor of accurate awareness of engagement with MVPA       
Age* (45 and over) .23 .11 4.45 1.25 1.02 1.39
Gender (male) .11 .11 1.10 1.12 .91 1.54
Ethnicity (white) -.05 .19 .06 .96 .66 1.39
Marital status (married) .15 .11 2.04 1.16 .95 1.43
Education (low education i.e. highest level of education is completing secondary school) .05 .2 .07 1.05 .71 1.56
Employment (part-time or unemployed) -.02 .11 .04 .98 .79 1.21
Walking intensity* (moderate or vigorous) .27 .11 5.89 1.31 1.05 1.63
  1. Reference group is given in brackets. *indicates a significant difference at the p < .05 level.