Table 1 The distribution of demographic characteristics of participants. Significant values are in bold.

From: Associations between soft drinks intake and primary dysmenorrhea among Chinese undergraduate female students

 

Primary dysmenorrhea

P value

No (n = 957)

Yes (n = 852)

Sociodemographic information

Location (%)

  

0.287

 Rural

468 (51.7)

438(48.3)

 

 Urban

489 (54.2)

414 (45.8)

 

BMI (%)

0.236

 Underweight

363 (52.0)

335 (48.0)

 

 Normal

462 (52.0)

426 (48.0)

 

 Overweight

64 (57.7)

47 (42.3)

 

 Obese

68 (60.7)

44(39.3)

 

Lifestyle habits information

Smoking (%)

0.604

 NO

956 (52.9)

850(47.1)

 

 YES

1(33.3)

2(66.7)

 

Passive smoking (%)

0.600

 NO

918 (53.0)

813 (47.0)

 

 YES

439(50.0)

39(50.0)

 

Physical activity (%)

0.028

 NO

224(48.5)

238 (51.5)

 

 YES

733 (54.4)

614(45.6)

 

Carbonated soft drinks intake (%)

0.033

 NO

720 (54.4)

603 (45.6)

 

 YES

237 (48.8)

249(51.2)

 

Tea intake (%)

0.124

 NO

808 (52.2)

741 (47.8)

 

 YES

149(57.3)

111(42.7)

 

Coffee intake (%)

0.568

 NO

877 (52.7)

787 (47.3)

 

 YES

80(55.2)

65 (44.8)

 

Carbonated soft drinks intake frequency (%)

0.154

 < 1 times/week

720 (54.4)

603 (45.6)

 

 1–3 times/week

210(48.2)

226(51.8)

 

 4–6 times/week

22 (55.0)

18 (45.0)

 

 ≥ 7 times/week

5 (50.0)

5 (50.0)

 

Coffee intake frequency (%)

0.591

 < 1 times/week

877 (52.7)

787 (47.3)

 

 1–3 times/week

574 (52.4)

49 (47.6)

 

 4–6 times/week

16(66.7)

8 (33.3)

 

 ≥ 7 times/week

10 (55.6)

8 (44.4)