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Table 1 Baseline (T1) characteristics of all T1 participants by premenstrual syndrome

From: Changes in menstrual symptoms and work productivity after checklist-based education for premenstrual syndrome: an 8-month follow-up of a single-arm study in Japan

 

None to mild (n = 2593)

Moderate to severe (n = 497)

P

Demographics

 Age, median (IQR)

35 (30–40)

33 (29–38)

 < 0.001

 Married (n, %)

1275 (49.2)

241 (48.5)

0.78

 Having a child (n, %)

1065 (41.1)

182 (36.6)

0.06

 University education (n, %)

1314 (50.7)

220 (44.3)

0.009

 Annual household income (n, %)

    < 4 million JPY

682 (26.3)

152 (30.6)

0.14

    ≥ 4 & < 6 million JPY

586 (22.6)

109 (21.9)

 

    ≥ 6million JPY

766 (29.5)

141 (28.4)

 

   Unknown

559 (21.6)

95 (19.1)

 

 Living in densely populated area (n, %)a

1489 (57.4)

274 (55.1)

0.34

Lifestyles

 Current smoker (n, %)

305 (11.8)

71 (14.3)

0.12

 Habitual drinker (n, %)

485 (18.7)

107 (21.5)

0.14

 Working hours per week (median, IQR)

38 (20–40)

35 (20–40)

0.95

        ≥ 38 h/week (n, %)

1317 (50.8)

244 (49.1)

0.49

Total scores on the Menstrual Distress Questionnaire, median (IQR)

 Premenstrual score

20 (9–38)

57 (42–74)

 < 0.001

 Menstrual score

15 (7–32)

54 (35–74)

 < 0.001

 Intermenstrual score

4 (1–11)

23 (10–48)

 < 0.001

WHO Health and Work Performance Questionnaire, median (IQR)

 Absolute absenteeism

0 (− 7 to 18)

0 (− 10 to 22)

0.34

 Relative absenteeism

0 (− 0.05 to 0.125)

0 (− 0.08 to 0.225)

0.33

 Absolute presenteeism (0–100)

60 (50–70)

50 (40–70)

 < 0.001

 Relative presenteeism (0.25–2.0)

1 (1–1)

1 (0.83–1)

0.07

  1. JPY Japanese Yen, IQR interquartile range
  2. aTen prefectures with more than 1500 people per square kilometer of habitable land area