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Table 5 Odds ratios for becoming physically inactive in previously active young males and females

From: Physical activity levels and determinants of change in young adults: a longitudinal panel study

 

Men

Women

 

becoming "no sport"

becoming inactive

becoming "no sport"

becoming inactive

 

unadjusted

adjusted1

unadjusted

adjusted1

unadjusted

adjusted1

unadjusted

adjusted1

Age category

        

14-16 years

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

17-19 years

1.7 (1.1-2.4)

1.7 (0.9-3.3)

1.3 (0.9-1.9)

1.0 (0.5-1.8)

0.9 (0.7-1.3)

0.9 (0.5-1.6)

1.1 (0.8-1.5)

1.2 (0.8-2.0)

p-value

0.01

0.1

0.2

0.9

0.7

0.9

0.8

0.3

20-22 years

2.0 (1.3-3.0)

1.7 (0.9-3.3)

1.8 (1.1-2.6)

1.7 (0.9-3.1)

1.1 (0.8-1.5)

1.1 (0.6-2.1)

1.3 (0.9-1.8)

1.4 (0.8-2.6)

p-value

<0.001

0.1

0.003

0.07

0.5

0.6

0.2

0.2

23-26 years

1.9 (1.2-2.9)

1.8 (0.9-3.5)

1.3 (0.9-2.0)

1.2 (0.6-2.4)

1.1 (0.7-1.5)

0.7 (0.4-1.3)

1.4 (1.0-2.0)

1.5 (0.8-2.6)

p-value

0.004

0.1

0.2

0.6

0.7

0.3

0.05

0.2

Sport club membership

        

remaining member

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

becoming member

1.4 (0.7-2.7)

1.3 (0.4-3.3)

2.1 (1.2-3.7)

2.7 (1.1-6.3)

1.5 (0.8-2.8)

2.7 (1.1-7.0)

2.1 (1.2-3.6)

1.6 (0.7-3.7)

p-value

0.3

0.6

0.01

0.02

0.2

0.04

0.007

0.2

becoming non-member

7.4 (4.9-11.0)

7.8 (4.4-14.0)

5.6 (3.9-8.1)

5.9 (3.4-10.5)

7.0 (4.5-11.1)

11.9 (5.9-24.1)

5.4 (3.5-8.5)

5.1 (2.7-9.6)

p-value

<0.001

<0.001

<0.001

<0.001

<0.001

<0.001

<0.001

<0.001

remaining non-member

9.2 (6.6-13.1)

7.8 (4.7-12.9)

5.2 (3.7-7.4)

5.1 (3.1-8.4)

10.7 (7.3-15.6)

12.4 (6.4-24.1)

7.9 (5.4-11.3)

6.9 (4.0-11.8)

p-value

<0.001

<0.001

<0.001

<0.001

<0.001

<0.001

<0.001

<0.001

Education

        

compulsory school

1.0

 

1.0

 

1.0

 

1.0

 

high school

0.4 (0.2-0.8)

 

0.4 (0.2-0.8)

 

0.8 (0.5-1.3)

 

1.0 (0.6-1.7)

 

p-value

0.004

 

0.004

 

0.3

 

0.9

 

apprenticeship, vocational low

1.7 (1.1-2.7)

 

1.4 (0.9-2.3)

 

1.4 (0.9-2.0)

 

1.9 (1.3-2.9)

 

p-value

0.01

 

0.07

 

0.1

 

0.001

 

vocational high

1.4 (0.7-2.6)

 

1.7 (0.9-3.2)

 

1.0 (0.5-1.9)

 

1.2 (0.6-2.4)

 

p-value

0.5

 

0.06

 

0.7

 

0.9

 

University

1.4 (0.8-2.3)

 

1.0 (0.6-1.7

 

0.7 (0.5-1.2)

 

1.2 (0.8-2.0)

 

p-value

0.4

 

0.8

 

0.2

 

0.3

 

Household Income

        

Four higher quintiles

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

Lowest quintile

1.6 (1.1-2.4)

1.9 (1.0-3.5)

1.5 (1.0-2.3)

1.1 (0.6-2.1)

1.5 (1.1-2.1)

0.9 (0.5-1.6)

1.4 (1.0-2.0)

1.1 (0.6-1.7)

p-value

0.007

0.05

0.05

0.5

0.04

0.5

0.05

0.9

Nationality

        

Swiss

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

Non-Swiss

1.2 (0.8-2.0)

0.7 (0.3-1.5)

1.8 (1.1-2.8)

0.8 (0.4-1.9)

1.9 (1.1-3.3)

1.2 (0.5-2.7)

2.1 (1.2-3.2)

0.5 (0.2-1.3)

p-value

0.3

0.4

0.01

0.7

0.02

0.7

0.006

0.2

Language region

        

German-speaking

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

French-speaking

1.0 (0.8-1.4)

1.3 (0.7-2.1)

1.7 (1.2-2.3)

1.4 (0.8-2.3)

1.4 (1.0-1.9)

1.4 (0.9-2.3)

2.1 (1.5-2.9)

1.8 (1.2-2.8)

p-value

0.8

0.4

0.001

0.2

0.03

0.2

<0.001

0.005

Italian-speaking

1.4 (0.6-2.9)

1.1 (0.4-3.3)

2.6 (1.3-5.4)

2.2 (0.8-6.1)

4.3 (2.1-8.7)

4.6 (1.5-14.3)

5.3 (2.3-12.2)

na2

p-value

0.5

0.8

0.006

0.1

<0.001

0.001

<0.001

 

Internet use

        

Rarely-never

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

Every day

0.7 (0.4-1.1)

0.6 (0.4-1.1)

0.8 (0.5-1.3)

0.8 (0.5-1.4)

0.6 (0.4-0.9)

0.5 (0.3-0.7)

0.7 (0.5-0.9)

0.7 (0.5-0.9)

p-value

0.1

0.08

0.4

0.4

0.009

<0.001

0.02

0.05

Reading

        

Rarely-never

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

Every day

1.0 (0.7-1.3)

1.2 (0.8-1.9)

1.0 (0.7-1.3)

1.1 (0.8-1.7)

0.9 (0.7-1.2)

0.8 (0.5-1.3)

1.0 (0.8-1.3)

0.7 (0.5-1.1)

p-value

0.8

0.4

0.9

0.5

0.7

0.4

0.9

0.08

  1. 1 adjusted for all variables displayed in the table except education
  2. 2 OR = 12.7 (2.6-61.5), due to small numbers estimates become unreliable
  3. All estimates and 95% CI are based on the pooled data for the one-year outcome conditional to previous physical activity level using the GEE model with an independent correlation structure for the within-subject association. Only observations were included with data for the preceding wave in individuals previously active in sports (nmale participants = 951; nfemale participants = 931) or previously active (nmale participants = 933; nfemale participants = 936)