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. 2022 Jan 16;21:16. doi: 10.1186/s12940-022-00831-5

Table 4.

Coefficients (95% CIs) from linear regression of PM2.5 exposure during 0 - 90 days before semen collection in relation to semen parameters in all participants (n = 1554)

Semen parametera Quintile of PM2.5 exposure (range) P trendb
Q1 (28.7-49.6) Q2 (49.7-57.0) Q3 (57.1-64.8) Q4 (64.9-74.0) Q5 (74.1-92.1)
Semen volume (ml) 0 (reference) 0.005 (−0.07, 0.08) −0.04 (−0.13, 0.04) −0.07 (−0.17, 0.01) −0.03 (−0.11, 0.06) 0.583
Sperm concentration (106/ml) 0 (reference) 0.12 (−5.11, 5.36)) 2.53 (−3.33, 8.39) −2.18 (−8.18, 3.82) −0.96 (−6.92, 5.00) 0.862
Total sperm number (106) 0 (reference) 0.03 (−0.11, 0.17) 0.06 (−0.10, 0.22) −0.07 (−0.24, 0.09) −0.04 (−0.21, 0.12) 0.583
Total motility (%) 0 (reference) −6.21 (−9.33, −3.08) −4.98 (−8.48, −1.48) −7.00 (−10.58, −3.41) −8.42 (−11.98, −4.86) <  0.001
Progressive motility (%) 0 (reference) −5.04 (−7.76, −2.31) −3.74 (−6.79, −0.69) −4.69 (−7.82, −1.57) −7.41 (−10.52, −4.30) <  0.001
VCL (μm/s) 0 (reference) −0.03 (−1.46, 1.40) −1.38 (−2.98, 0.22) −1.18 (−2.82, 0.46) −3.24 (−4.82, −1.61) <  0.001
VSL (μm/s) 0 (reference) −0.005 (−0.04, 0.03) −0.01 (−0.05, 0.03) −0.01 (−0.05, 0.03) −0.07 (−0.11, −0.03) <  0.001
VAP (μm/s) 0 (reference) −0.21 (−1.20, 0.77) −0.37 (−1.47, 0.73) −0.47 (−1.60, 0.66) −2.27 (−3.39, −1.15) <  0.001
BCF (Hz) 0 (reference) −0.002 (−0.02, 0.02) −0.02 (−0.04, 0.003) −0.03 (−0.06, −0.01) 0.01 (−0.01, 0.04) 0.611
ALH (μm/s) 0 (reference) 0.01 (−0.04, 0.06) −0.02 (−0.07, 0.03) −0.03 (−0.09, 0.02) −0.06 (−0.11, −0.003) 0.028
LIN (%) 0 (reference) −0.46 (−1.69, 0.76) 0.78 (−0.59, 2.16) 0.83 (−0.58, 2.24) −0.37 (−1.77, 1.03) 0.971
STR (%) 0 (reference) 0.001 (−0.01, 0.01) 0.005 (−0.004, 0.01) 0.01 (−0.01, 0.02) −0.003 (−0.01, 0.01) 0.862
WOB (%) 0 (reference) −0.42 (−1.46, 0.63) 0.56 (−0.61, 1.73) 0.61 (−0.59, 1.81) −0.22 (−1.42, 0.97) 0.986
MAD (°) 0 (reference) −0.0005 (−0.03, 0.03) −0.01 (−0.05, 0.02) −0.01 (−0.03, 0.04) 0.002 (−0.03, 0.04) 0.971

The coefficients and 95% CIs were estimated using a linear model, adjusting for age, BMI, ethnicity, education, family income, smoking status, drinking status, abstinence period, season, and temperature. Natural log transformation was applied for some sperm parameters

aALH amplitude of lateral head displacement, BCF beat cross frequency, CI confidence interval, LIN linearity, MAD mean angular displacement, PM2.5 particulate matter with aerodynamic less than 2.5 μm, STR straightness, VAP average path velocity, VCL curvilinear velocity, VSL straight line velocity, WOB curvilinear path wobble

bP trend value for adjusting FDR using the Benjamini & Hochberg procedure