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. 2024 Dec 15;11(1):e40902. doi: 10.1016/j.heliyon.2024.e40902

Table 3.

Multivariate logistic regression analysis of the prevalence of infertility using urine VOCs.

Non-adjusted
Model 1
Model 2
OR (95%CI) P-value OR (95%CI) P-value OR (95%CI) P-value
2MHA
Q1 1.00 1.00 1.00 1.00 1.00 1.00
Q2 1.00 (0.55, 1.80) 0.99 1.00 (0.55, 1.84) 0.99 0.848 (0.455, 1.580) 0.60
Q3 1.63 (0.94, 2.80) 0.08 1.72 (0.98, 3.02) 0.06 1.331 (0.727, 2.435) 0.35
Q4 1.52 (0.88, 2.63) 0.14 1.52 (0.85, 2.71) 0.15 1.175 (0.596, 2.319) 0.64
P for trend 0.04 0.04 0.27
3,4–MHA
Q1 1.00 1.00 1.00 1.00 1.00 1.00
Q2 1.28 (0.69, 2.36) 0.43 1.39 (0.74, 2.59) 0.31 1.202 (0.630, 2.291) 0.58
Q3 2.05 (1.16, 3.63) 0.01 2.15 (1.19, 3.86) 0.01 1.721 (0.906, 3.271) 0.10
Q4 1.98 (1.12, 3.51) 0.02 2.22 (1.21, 4.05) 0.01 1.893 (0.926, 3.873) 0.08
P for trend 0.01 0.01 0.04
AAMA
Q1 1.00 1.00 1.00 1.00 1.00 1.00
Q2 1.36 (0.76, 2.44) 0.30 1.30 (0.72, 2.36) 0.38 1.065 (0.575, 1.973) 0.84
Q3 1.69 (0.96, 2.97) 0.07 1.77 (1.00, 3.16) <0.05 1.310 (0.692, 2.479) 0.41
Q4 1.59 (0.90, 2.80) 0.11 1.65 (0.92, 2.98) 0.09 0.987 (0.464, 2.098) 0.97
P for trend 0.08 0.06 0.71
AMCC
Q1 1.00 1.00 1.00 1.00 1.00 1.00
Q2 1.57 (0.81, 3.02) 0.18 1.58 (0.81, 3.09) 0.18 1.558 (0.785, 3.090) 0.20
Q3 2.25 (1.21, 4.17) 0.01 2.26 (1.20, 4.25) 0.01 2.057 (1.042, 4.060) 0.04
Q4 3.24 (1.78, 5.88) 0.01 3.21 (1.72, 6.01) 0.01 2.910 (1.329, 6.372) 0.01
P for trend 0.01 0.01 0.01
ATCA
Q1 1.00 1.00 1.00 1.00 1.00 1.00
Q2 1.14 (0.65, 2.01) 0.65 1.19 (0.67, 2.11) 0.56 1.110 (0.618, 1.994) 0.73
Q3 1.37 (0.79, 2.38) 0.26 1.51 (0.85, 2.68) 0.16 1.176 (0.641, 2.157) 0.60
Q4 1.40 (0.81, 2.42) 0.22 1.49 (0.84, 2.64) 0.17 0.966 (0.501, 1.864) 0.92
P for trend 0.17 0.12 0.89
SBMA
Q1 1.00 1.00 1.00 1.00 1.00 1.00
Q2 1.34 (0.76, 2.35) 0.31 1.44 (0.81, 2.56) 0.21 1.190 (0.654, 2.165) 0.57
Q3 1.43 (0.82, 2.48) 0.21 1.46 (0.82, 2.57) 0.20 1.018 (0.547, 1.894) 0.95
Q4 1.38 (0.79, 2.41) 0.26 1.35 (0.75, 2.41) 0.32 0.830 (0.420, 1.640) 0.59
P for trend 0.27 0.36 0.59
CEMA
Q1 1.00 1.00 1.00 1.00 1.00 1.00
Q2 0.92 (0.51, 1.66) 0.77 0.92 (0.50, 1.67) 0.78 0.743 (0.397, 1.391) 0.35
Q3 1.52 (0.88, 2.61) 0.13 1.53 (0.88, 2.68) 0.13 1.109 (0.596, 2.064) 0.74
Q4 1.50 (0.87, 2.57) 0.14 1.50 (0.85, 2.67) 0.16 0.913 (0.439, 1.897) 0.81
P for trend 0.04 0.07 0.92
CYMA
Q1 1.00 1.00 1.00 1.00 1.00 1.00
Q2 1.70 (0.92, 3.15) 0.09 1.62 (0.87, 3.02) 0.13 1.494 (0.784, 2.847) 0.22
Q3 2.21 (1.23, 3.99) 0.01 2.20 (1.20, 4.02) 0.01 1.750 (0.900, 3.404) 0.10
Q4 2.15 (1.19, 3.89) 0.01 2.34 (1.25, 4.38) 0.01 2.278 (1.007, 5.153) 0.04
P for trend 0.01 0.01 0.01
DHBMA
Q1 1.00 1.00 1.00 1.00 1.00 1.00
Q2 0.90 (0.47, 1.72) 0.76 0.91 (0.47, 1.74) 0.77 0.865 (0.440, 1.701) 0.67
Q3 2.01 (1.18, 3.48) 0.01 2.15 (1.21, 3.81) 0.01 1.773 (0.905, 3.476) 0.10
Q4 2.06 (1.18, 3.59) 0.01 2.22 (1.24, 3.99) 0.01 1.644 (0.681, 3.966) 0.27
P for trend 0.01 0.01 0.06
2HPMA
Q1 1.00 1.00 1.00 1.00 1.00 1.00
Q2 1.67 (0.93, 2.99) 0.09 1.74 (0.95, 3.17) 0.07 1.455 (0.783, 2.705) 0.24
Q3 1.61 (0.89, 2.90) 0.11 1.66 (0.91, 3.05) 0.10 1.232 (0.631, 2.405) 0.54
Q4 1.97 (1.11, 3.48) 0.02 2.08 (1.15, 3.74) 0.02 1.522 (0.758, 3.057) 0.24
P for trend 0.03 0.03 0.20
3HPMA
Q1 1.00 1.00 1.00 1.00 1.00 1.00
Q2 1.39 (0.76, 2.55) 0.28 1.44 (0.78, 2.67) 0.24 1.175 (0.620, 2.228) 0.62
Q3 1.81 (1.01, 3.23) 0.04 1.81 (1.00, 3.28) 0.04 1.426 (0.745, 2.730) 0.28
Q4 2.11 (1.19, 3.72) 0.01 2.21 (1.23, 3.97) 0.01 1.634 (0.788, 3.389) 0.19
P for trend 0.01 0.01 0.19
MA
Q1 1.00 1.00 1.00 1.00 1.00 1.00
Q2 1.26 (0.68, 2.34) 0.47 1.29 (0.69, 2.41) 0.43 1.162 (0.610, 2.216) 0.65
Q3 1.88 (1.06, 3.34) 0.03 1.95 (1.08, 3.51) 0.03 1.550 (0.806, 2.979) 0.19
Q4 2.16 (1.23, 3.80) 0.01 2.21 (1.23, 3.97) 0.01 1.473 (0.659, 3.295) 0.35
P for trend 0.01 0.01 0.17
MHBMA3
Q1 1.00 1.00 1.00 1.00 1.00 1.00
Q2 1.00 (0.55, 1.84) 0.99 1.02 (0.55, 1.89) 0.94 0.873 (0.461, 1.653) 0.68
Q3 1.48 (0.85, 2.60) 0.17 1.44 (0.81, 2.56) 0.22 1.150 (0.605, 2.185) 0.67
Q4 1.91 (1.11, 3.28) 0.02 1.98 (1.12, 3.50) 0.02 1.650 (0.788, 3.452) 0.18
P for trend 0.01 0.01 0.09
PGA
Q1 1.00 1.00 1.00 1.00 1.00 1.00
Q2 0.99 (0.54, 1.81) 0.97 0.99 (0.54, 1.83) 0.98 0.921 (0.489, 1.737) 0.80
Q3 1.24 (0.69, 2.21) 0.47 1.33 (0.73, 2.42) 0.35 1.164 (0.592, 2.289) 0.66
Q4 2.18 (1.28, 3.72) 0.01 2.29 (1.31, 4.01) 0.01 1.854 (0.839, 4.093) 0.13
P for trend 0.01 0.01 0.06
HMPMA
Q1 1.00 1.00 1.00 1.00 1.00 1.00
Q2 0.92 (0.51, 1.65) 0.78 0.97 (0.54, 1.76) 0.92 0.798 (0.430, 1.483) 0.48
Q3 1.13 (0.65, 1.98) 0.66 1.15 (0.65, 2.04) 0.63 0.800 (0.415, 1.545) 0.51
Q4 1.68 (0.99, 2.83) 0.04 1.75 (1.01, 3.02) 0.04 1.227 (0.587, 2.568) 0.59
P for trend 0.03 0.03 0.44

Non-adjusted: model without any covariates; Model 1: model adjusted by age, ethnicity, education level and PIR; Model 2: model age, ethnicity, education level, PIR, BMI, alcohol drinking, smoking, hypertension, diabetes, urine albumin and creatine. OR, odds ratio. CI, confidence interval. VOCs, volatile organic compound metabolites.