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Table 3 Associations between individual-level characteristics and physical activity stratified by sex

From: The influence of the macro-environment on physical activity: a multilevel analysis of 38 countries worldwide

 

Men

Women

 

N

OR 95% CI

N

OR 95% CI

  

Vigorous

Moderate

Walking

 

Vigorous

Moderate

Walking

Occupation

              

White collara

18,099

1

-

1

-

1

-

16,158

1

-

1

-

1

-

Blue collarb

21,845

1.84

1.76-1.93

1.17

1.12-1.23

0.96

0.92-1.01

10,535

1.37

1.28-1.47

1.26

1.19-1.33

0.98

0.92-1.04

Agriculture

21,198

3.00

2.85-3.15

1.30

1.24-1.36

1.26

1.19-1.33

10,748

2.71

2.53-2.90

1.46

1.37-1.56

1.17

1.09-1.25

Armed forcesc

1,172

1.39

1.22-1.58

1.09

0.96-1.24

1.11

0.97-1.27

       

Not working for pay

16,282

1.01

0.96-1.07

0.77

0.73-0.81

0.85

0.80-0.89

60,849

0.97

0.92-1.03

1.10

1.06-1.15

0.74

0.71-0.78

Education

              

Higher educationd

19,686

1

-

1

-

1

-

22,266

1

-

1

-

1

-

Secondary school

21,497

1.15

1.10-1.21

1.09

1.04-1.14

1.01

0.96-1.06

25,042

0.95

0.90-1.00

1.23

1.18-1.29

1.02

0.98-1.07

Primary school

16,890

1.42

1.35-1.50

1.03

0.98-1.08

0.97

0.92-1.02

19,042

1.20

1.13-1.28

1.24

1.18-1.30

1.00

0.95-1.05

Less than primary

9,883

1.62

1.51-1.73

0.98

0.92-1.04

0.98

0.93-1.04

11,990

1.43

1.34-1.54

1.20

1.13-1.27

0.99

0.93-1.05

None

10,640

1.79

1.67-1.91

1.08

1.02-1.15

0.91

0.85-0.98

20,099

1.68

1.57-1.80

1.19

1.12-1.26

1.03

0.97-1.09

  1. a White collar (e.g. legislator, clerk or sales worker).
  2. b Blue collar (e.g. craft trades worker, elementary worker or plant operator).
  3. c The group of women working in the armed forces was too small to include in these results.
  4. d Post graduate, university or high school.