Additional file 1 of Association between ambient particulate matter exposure and semen quality in fertile men
Creators: name: Wu, Wei
name: Chen, Yiqiu
name: Cheng, Yuting
name: Tang, Qiuqin
name: Pan, Feng
name: Tang, Naijun
name: Sun, Zhiwei
name: Wang, Xinru
name: London, Stephanie J.
name: Xia, Yankai
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Cell Biology
subject: Molecular Biology
subject: Neuroscience
subject: Physiology
subject: FOS: Biological sciences
subject: Environmental Sciences not elsewhere classified
subject: Developmental Biology

description: Additional file 1: Figure S1. Sperm kinematic parameters measured by computer assisted semen analysis (CASA). ALH, amplitude of lateral head displacement; BCF, beat cross frequency; LIN, linearity; MAD, mean angular displacement; STR, straightness; VAP, average path velocity; VCL, curvilinear velocity; VSL, straight line velocity; WOB, curvilinear path wobble. Figure S2. Flowchart of participants in the study. Normal semen quality group defined by semen volume ≥ 1.5 ml, sperm concentration ≥ 15 × 106/ml, total sperm number ≥ 39 × 10,6 and total motility ≥40%. Abnormal semen quality group defined by at least one abnormal semen parameters (semen volume, sperm concentration, total sperm number or sperm motility). Figure S3. Distribution of daily temperatures in Nanjing between 2014 and 2016. The points in top and bottom graphs indicate daily temperatures. Figure S4. Distribution of daily PM10 in Nanjing between 2014 and 2016. The points in top and bottom graphs indicate daily PM10. The straight black line indicates Chinese 24-h standard (Grade II) for PM10 (150 μg/m3). Table S1. Coefficient of correlation between the semen parameters. Table S2. Distribution of air pollutant exposure for study subjects. Table S3. Coefficients from linear regression for PM10 exposure in relation to semen parameters by exposure period (0-90, 0-9, 10-14, 15-69, 70-90 days) prior to semen collection in all participants (n = 1554) expressed as change in the parameter for a 10 μg/m3 increase in exposure. Table S4. Coefficients from linear regression for PM2.5 exposure in relation to semen parameters by exposure period (0-90, 0-9, 10-14, 15-69, 70-90 days) prior to semen collection in normal and abnormal semen parameters groups expressed as change in the parameter for a 10 μg/m3 increase in exposure. Table S5. Coefficients from linear regression for PM10 exposure in relation to semen parameters by exposure period (0-90, 0-9, 10-14, 15-69, 70-90 days) prior to semen collection in normal and abnormal semen parameters groups expressed as change in the parameter for a 10 μg/m3 increase in exposure. Table S6. Coefficients (95% CIs) from linear regression of PM2.5 exposure during 0-90 days before semen collection in relation to sperm parameters in normal semen parameters group expressed as change in the parameter for a 10 μg/m3 increase in exposure. Table S7. Coefficients (95% CIs) from linear regression of PM2.5 exposure during 0-90 days before semen collection in relation to sperm parameters in abnormal semen parameters group expressed as change in the parameter for a 10 μg/m3 increase in exposure. Table S8. Coefficients from linear regression for PM2.5 exposure in relation to total sperm motility by categories of age, BMI, income, cigarette smoking and alcohol drinking expressed as change in the parameter for a 10 μg/m3 increase in exposure. Table S9. Characteristics and main results of previous studies examined the association between PM and semen quality.