Table 3

Multiple logistic regression analysis of leisure-time physical activity (LTPA)a in rural Suixi, Guangdong, China (n = 287)

Variables

OR

95% CI

p


Age (continuous)

0.98

0.95, 1.01

0.197

Gender

Women

1.00

Men

1.57

0.77, 3.18

0.214

Marital status

Single/divorced/widowed

1.00

Married

0.27

0.11, 0.07

0.007

Number of residents in the household (continuous)

0.79

0.68, 0.92

0.003

Education

Lower than middle school

1.00

Middle school graduate or higher

2.44

0.96, 6.16

0.060

Occupation

Farming

1.00

Non-farming

2.37

0.84,6.70

Self-employed

0.46

0.16,1.28

Unemployed

0.49

0.12,1.30

0.008

Neighbourhood crime-related safetyb

1.20

0.90, 1.62

0.163

Sports equipment in the home

No

1.00

Yes

2.03

1.03, 4.05

0.039

Social modelling of leisure-time physical activityc

2.36

1.76, 3.16

<0.001


a LTPA is coded 1 = any, 0 = none

b Neighbourhood crime-related safety score ranges 0 to 6; a higher score indicates better safety

c Social modelling score ranges 0 to 3; a higher score indicates more family members, friends, and neighbours participating in leisure-time physical activity

Ding et al. International Journal of Behavioral Nutrition and Physical Activity 2011 8:37   doi:10.1186/1479-5868-8-37

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