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Table 2 Socio-demographic characteristics by treatment group or gender

From: A RCT to evaluate a totally automated, culturally-adapted telephone counselor for increasing physical activity among physically inactive individuals in China

 

% or Mean (SD)

All (n = 210)

Intervention (n = 109)

Control (n = 101)

p*

Male (n = 76)

Female (n = 134)

p*

Gender

   

NS

   

 Male

36.2

36.7

35.6

    

 Female

63.8

63.3

64.4

    

Age (year)

41.4 (7.20)

41.9 (7.36)

40.9 (7.03)

NS

40.0 (7.89)

42.2 (6.69)

0.036

Education level

   

NS

  

NS

 Primary or below

1.4

0.9

2.0

 

1.3

1.5

 

 Junior high

7.1

7.3

6.9

 

6.6

7.5

 

 Senior high

39.5

41.3

37.6

 

38.2

40.3

 

 Junior college

28.1

24.8

31.7

 

21.1

32.1

 

 University or above

23.8

25.7

21.8

 

32.9

18.7

 

Marital status

   

NS

  

NS

 Single

5.7

6.4

5.0

 

7.9

4.5

 

 Married

85.2

85.3

85.1

 

80.3

88.1

 

 Separated

0.5

0.9

0.0

 

1.3

0.0

 

 Divorced

7.6

7.3

7.9

 

10.5

6.0

 

 Widowed

1.0

0.0

2.0

 

0.0

1.5

 

Employment type

   

NS

  

0.037

 Full-time

69.5

69.7

69.3

 

78.9

64.2

 

 Part-time or temporary

9.0

10.1

7.9

 

10.5

8.2

 

 Unemployed

10.5

10.1

10.9

 

7.9

11.9

 

 Retired

7.6

7.3

7.9

 

1.3

11.2

 

 Others

3.3

2.8

4.0

 

1.3

4.5

 

Smoking status

   

NS

  

< 0.001

 Never smoker

76.2

77.1

75.2

 

36.8

98.5

 

 Current smoker

17.6

16.5

18.8

 

47.4

0.7

 

 Ex-smoker

6.2

6.4

5.9

 

15.8

0.7

 

Doctor-rated economic status

   

NS

  

NS

 Rich

2.4

2.8

2.0

 

0.0

3.7

 

 Comparatively rich

22.4

20.2

24.8

 

21.1

23.1

 

 Average

60.5

62.4

58.4

 

63.2

59.0

 

 Below average

12.9

14.7

10.9

 

14.5

11.9

 

 Poor

0.5

0.0

1.0

 

0.0

0.7

 

 Don’t know

1.4

0.0

3.0

 

1.3

1.5

 

Self-rated economic status

   

NS

  

NS

 Rich

0.5

0.9

0.0

 

0.0

0.7

 

 Comparatively rich

12.4

11.9

12.9

 

6.6

15.7

 

 Average

63.8

64.2

63.4

 

64.5

63.4

 

 Below average

21.4

21.1

21.8

 

26.3

18.7

 

 Poor

1.9

1.8

2.0

 

2.6

1.5

 

Pay out-of-pocket for medical

   

NS

  

0.046

 No

1.4

1.8

1.0

 

3.9

0.0

 

 Yes

98.6

98.2

99.0

 

96.1

100.0

 
  1. Study was conducted at Shenzhen, China between July and August 2009
  2. NS: p < 0.05
  3. * Student’s t-test for age; Fisher’s Exact Test for Pay out-of-pocket for medical, Pearson Χ2 for all others