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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

Î’

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.