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. 2017 Jul 25;23(6):646–659. doi: 10.1093/humupd/dmx022

Table I.

Sperm concentration and total sperm count in first and last years of meta-regression analysis with percentage change and slope per year, for all men and by fertility and geographic groupsa.

Category N (estimates) First year First year SC (million/ml) Last year Last year SC (million/ml) Percentage change/year Slope (95% CI), million/ml/year
All men 244 1973 92.8 2011 66.4 −0.75 −0.70 (−0.72 to −0.69)
Unselected Western 110 1973 99.0 2011 47.1 −1.40 −1.38 (−2.02 to −0.74)
Fertile Western 65 1977 83.8 2009 62.0 −0.81 −0.68 (−1.31 to −0.05)
Unselected Other 30 1986 72.7 2010 62.6 −0.58 −0.42 (−1.24 to 0.40)
Fertile Other 39 1978 66.4 2011 75.7 0.42 0.28 (−0.44 to 1.00)
Category N (estimates) First Year First year TSC (million) Last year Last year TSC (million) Percentage change/year Slope (95% CI), million/year
All men 244 1973 295.7 2011 212.0 −0.75 −2.23 (−2.31 to −2.16)
Unselected Western 110 1973 337.5 2011 137.5 −1.58 −5.33 (−7.56 to −3.11)
Fertile Western 65 1977 277.4 2009 209.5 −0.76 −2.12 (−4.31 to 0.07)
Unselected Other 30 1986 212.4 2010 167.3 −0.88 −1.88 (−4.77 to 1.01)
Fertile Other 39 1978 189.2 2011 233.2 0.70 1.33 (−1.20 to 3.86)

aFor all men: simple linear regression weighted by sample size. For all other categories: Meta-regression model weighted by sperm concentration (SC) SE, adjusted for fertility group, time x fertility group interaction, geographic group, time × geographic group interaction, age, abstinence time, semen collection method reported, counting method reported, having more than one sample per men, indicators for study selection of population and exclusion criteria (some vasectomy candidates, some semen donor candidates, exclusion of men with chronic diseases, exclusion by other reasons not related to fertility, selection by occupation not related to fertility), whether year of collection was estimated, whether arithmetic mean of SC was estimated, whether SE of SC was estimated and indicator variable to denote studies with more than one estimate. Total sperm count (TSC) meta-regression models weighted by TSC SE, adjusted for similar covariates and method used to assess semen volume.