Table 4 Kolmogorov–Smirnov test results for symptom tracking patterns.

From: Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile-health data

Category

Symptom

Kolmogorov–Smirnov statistic (95% CI)

Period flow

Heavy

0.181 (0.178,0.183)

Period flow

Medium

0.134 (0.132,0.137)

Period flow

Light

0.121 (0.118,0.124)

Period flow

Spotting

0.089 (0.087,0.092)

Type of pain experienced

Cramps

0.101 (0.097,0.104)

Type of pain experienced

Ovulation pain

0.096 (0.093,0.099)

Type of pain experienced

Headache

0.089 (0.087,0.092)

Type of pain experienced

Tender breasts

0.082 (0.080,0.084)

Emotional state

Sensitive emotion

0.115 (0.112,0.118)

Emotional state

Happy

0.108 (0.105,0.111)

Emotional state

PMS

0.086 (0.083,0.089)

Emotional state

Sad

0.076 (0.073,0.079)

  1. Kolmogorov–Smirnov test results for symptom tracking patterns that are significantly different (at a p = 0.000001 level) between users in the consistently not highly variable and consistently highly variable groups.