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. Author manuscript; available in PMC: 2021 Feb 1.
Published in final edited form as: Menopause. 2020 Feb;27(2):127–133. doi: 10.1097/GME.0000000000001453

Table 2:

Pearson’s correlation coefficients and multivariable linear regression for the association between log-transformed serum hormones and log-transformed urine hormones for participants with matching serum and urine collection dates within 16-24 days of the menstrual cycle

Pearson’s Correlation Multivariable Linear Regressiona
Hormone N Pearson’s r p-value Nb β (SE) 95%CI R2 p-valuec
LH 159 0.573 <0.0001 156 0.44 (0.05) (0.34, 0.53) 0.42 <0.0001
FSH 168 0.845 <0.0001 164 0.76 (0.03) (0.66, 0.79) 0.76 <0.0001
E2/E1c 170 0.574 <0.0001 167 0.84 (0.09) (0.65, 1.02) 0.37 <0.0001
P/uPdg 170 0.837 <0.0001 167 1.10 (0.05) (0.99, 1.20) 0.74 <0.0001
a

Model adjusted for ethnicity, age, log-body mass index at urine collection and smoking status

b

LH: 2 observations with missing body mass index and 1 outlier excluded; follicle stimulating hormone (FSH): 2 observations with missing body mass index and 2 outliers excluded; estradiol/estrone conjugates (E2/E1c): 2 observations with missing body mass index and 1 outlier excluded; progesterone/urine pregnanediol glucuronide (P/uPdg): 2 observations with missing body mass index and 1 outlier excluded

c

Significance level adjusted for multiple testing of serum LH, FSH, E2 vs urine LH, FSH, E1C=0.0125; and of P as related to uPdg= 0.01