TABLE 3.

Results of binary logistic regression analysis with different diagnoses as dependent variables.

Dichotomies	Exploratory variables	X2	Nagelkerke	Wald	df	p	OR	95% CI
ACOG	–	–	–	–	–	–	–	–
PMS	Prog T1−(T2 + T3 + T4)	9.30	0.277	6.08	1	0.002	3.44	1.29–9.16
PeriMS	Prog T2 + T3 + T4	8.36	0.252	5.69	1	0.004	0.32	0.13–0.82
PeriMS	Oest T2 + T3 + T4	5.66	0.176	4.78	1	0.017	0.68	0.49–0.96
MCAS	Prog T2 + T3 + T4	9.44	0.289	6.55	1	0.002	0.31	0.13–0.76
MCAS	Oest T1 + T2 + T3 + T4	5.57	0.179	4.49	1	0.018	0.70	0.50–0.97

ACOG = Premenstrual syndrome diagnosis according to American College of Obstetricians and Gynecologists (ACOG) criteria. PMS = Subjects who scored ≥70 of total DRSP score during day 24–28 of menstrual cycle and there is a difference of at least 30% in DRSP scores between pre (late luteal phase day 24–28) and post (mid follicular day 6–10) menstrual phases. PeriMS = peri-menstrual syndrome. MCAS = menstrual cycle-associated symptoms. OR: Odd’s ratio, 95% CI: 95% confidence intervals. Prog: progesterone; Oest: oestradiol. T1−(T2 + T3 + T4): computed as a z unit weighted composite score of zT1 – z(zT2 + zT3 + zT4). T1 + T2 + T3 + T4: sum of the z scores of the four time points. T2 + T3 + T4: sum of the z scores of the three time points in the luteal phase.