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Table 1 Socio-demographic characteristics, sedentary behaviors and BMI of the total sample

From: Do sedentary behaviors mediate associations between socio-demographic characteristics and BMI in women living in socio-economically disadvantaged neighborhoods?

Characteristics

Total sample

Predictors: socio-demographic characteristics

 

Age (years), mean (SD) (n = 3830)

34.7 (8.2)

Employment status, n (%) (n = 3782)

 

  Unemployed

1188 (31.4)

  Employed

2594 (68.6)

Educational level n (%) (n = 3831)

 

  Low-medium

2815 (73.5)

  High

1016 (26.5)

Marital status n (%) (n = 3857)

 

  Married/ in a relationship

1349 (35.0)

  Alone

2508 (65.0)

Number of children up to 18 years in household n (%) (n = 3809)

 

  None

1499 (39.4)

  One

666 (17.5)

  Two

993 (26.1)

  Three or more

651 (17.1)

Residential location n (%) (n = 3879)

 

  Urban

1801 (46.4)

  Rural

2078 (53.6)

Country of birth n (%) (n = 3866)

 

  Australia

3432 (88.8)

  Other

434 (11.2)

Potential mediators: sedentary behaviors (hours/day)

 

Television viewing time, mean (SD) (n = 3775)

3.6 (3.6)

Computer time, mean (SD) (n = 3615)

3.1 (4.2)

Total screen time, mean (SD) (n = 3585)

6.3 (4.7)

Total sedentary time, mean (SD) (n = 3749)

7.2 (4.8)

Outcome

 

BMI (kg/m2), mean (SD) (n = 3879)

26.0 (6.1)

  1. SD = Standard deviation.