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Table 2 Results from univariate and multiple linear regressions on contribution of socio-demographic, health-related, environmental, and psycho-social variables on the proportion of workday sitting

From: Who uses height-adjustable desks? - Sociodemographic, health-related, and psycho-social variables of regular users

 

Univariate linear regression

Multiple linear Regression

Proportion of workday sitting (n = 637)

Proportion of workday sitting (n = 637)

B

SE B

β

B

SE B

β

Gender

0.02

1.65

0.00

1.10

1.76

0.03

Age

−0.17

0.06

−0.10**

−0.21

0.07

−0.13**

Education

5.08

0.87

0.22***

4.37

0.89

0.19***

Body Mass Index

0.19

0.19

0.04

0.53

0.22

0.10*

Working hours per week

0.08

0.05

0.06

0.07

0.05

0.06

Subjective health status

0.13

0.97

0.01

1.12

0.96

0.05

Height-adjustable desk (yes = 1/no = 2)

2.06

2.26

0.04

0.10

2.24

0.00

Health Knowledge ‘Sitting for most of the time at work is bad for my health’

0.47

0.64

0.03

0.50

0.67

0.03

Perceived organisational social norms ‘At my workplace nobody would mind if I chose to stand up while working at my desk’

−0.13

0.55

−0.01

0.31

0.61

0.02

Perceived behavioural control ‘It is my choice whether I stand up or sit at my desk while at work’

−1.29

0.49

−0.10**

−2.21

0.56

−0.17***

Advantages of sitting less ‘For me to sit less at work is pleasant’

−1.84

0.65

−0.11**

−1.99

0.68

−0.12**

Disadvantages of sitting less ‘For me to sit less at work is not beneficial at all’

0.45

0.63

0.03

0.80

0.62

0.05

Habit ‘I sit down at my desk without thinking about it’

3.11

0.61

0.20***

3.17

0.61

0.20***

  

Adj. R 2 = 0.12

  1. B = unstandardized beta; SE B = standard error of beta; β = standardized beta
  2. * = p < 0.05
  3. ** = p < 0.01
  4. *** = p < 0.001