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Table 1 Comparison the characteristics of the SMS quality evaluation population and the SMS intervention population

From: The role of text messaging intervention in Inner Mongolia among patients with type 2 diabetes mellitus: a randomized controlled trial

 

SMS intervention populations(N = 171)

SMS quality evaluation population (N = 72)

χ2

P value

Age

  

0.001

0.982

  < 50

52 (30.4)

22 (30.6)

  

  ≥ 50

119 (69.6)

50 (69.4)

  

Gender

  

0.400

0.527

 male

97 (56.7)

44 (61.1)

  

 female

74 (43.3)

28 (38.9)

  

BMI

   

0.761 a

  < 18.5

4 (2.4)

3 (3.7)

  

 18.5 ~ 24.0

44 (26.3)

19 (23.2)

  

  ≥ 24.0

119 (71.3)

60 (73.2)

  

Distribution

  

0.957

0.328

 urban

133 (77.8)

60 (83.3)

  

 rural

38 (22.2)

12 (16.7)

  

Education

  

0.412

0.521

 below high school

68 (40.0)

32 (44.4)

  

 high school and above

102 (60.0)

40 (55.6)

  

Marital status

   

0.773 a

 married

161 (94.2)

67 (93.1)

  

 other

10 (5.8)

5 (6.9)

  

Employment status

  

2.605

0.106

 employed

90 (52.6)

46 (63.9)

  

 non-employed

81 (47.4)

26 (36.1)

  

Smoking

  

0.011

0.915

 yes

44 (25.7)

19 (26.4)

  

 no

127 (74.3)

53 (73.6)

  

Drinking

  

1.317

0.251

 yes

58 (33.9)

30 (41.7)

  

 no

113 (66.1)

42 (58.3)

  

Hypertension

  

0.262

0.609

 yes

65 (39.6)

26 (36.1)

  

 no

99 (60.4)

46 (63.9)

  
  1. SMS short message service, BMI body mass index. a Fisher probabilities method