| Literature DB >> 32420369 |
Jianzhong Zhang1, Zhonglin Cai1, Chengquan Ma1, Jian Xiong1, Hongjun Li1.
Abstract
INTRODUCTION: Several studies have explored the association between outdoor air pollution and semen quality. However, the results were inconsistent. We performed the current meta-analysis to evaluate the role of outdoor air pollution in semen quality. Material and Methods. Databases including PubMed, Web of Science, and Embase were searched to identify relevant studies. Relative data in participants under higher exposure and lower exposure to air pollution were extracted. Pooled weighted mean differences (WMDs) with corresponding 95% confidence intervals (CIs) were utilized to assess the effects of outdoor air pollution on semen quality. In addition, trial sequential analyses (TSAs) were performed to obtain a more comprehensive assessment of analyses.Entities:
Mesh:
Substances:
Year: 2020 PMID: 32420369 PMCID: PMC7204269 DOI: 10.1155/2020/7528901
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Basic characteristics of the enrolled studies.
| Study | Exposure | Period | Study design | Location | Major ethnicity | Age | Groups | Positive findings | NOS |
|---|---|---|---|---|---|---|---|---|---|
| Selevan, 2000 | PM10, TSPs, SO2, CO, Nox | 1993-1994 | Cross-sectional | Czech | Caucasian | 18 | Residents in urban or rural areas | Lower progressive motility, total motility, normal morphology rate, and chromatin structure | 8 |
| De Rosa, 2003 | Traffic pollutants | 2000-2002 | Cross-sectional | Italy | Caucasian | 23-62 | Workers at motorways or offices | Lower total motility, progressive motility, concentration, VSL, VCL, LIN, and ALH | 6 |
| Rubes, 2005 | PM10, PAH, SO2, NOx | 1995-1997 | Longitudinal | Czech | Caucasian | 19-25 | Residents in winter and summer | None | 9 |
| Guven, 2008 | Traffic pollutants | NM | Cross-sectional | Turkey | Caucasian | 35.2 ± 6.4; 33.7 ± 6.7 | Workers at motorways or offices | Lower normal morphology rate, concentration, progressive motility | 6 |
| Boggia, 2009 | Traffic pollutants | 2000-2004 | Cross-sectional | Italy | Caucasian | 23-57 | Workers at motorways or offices | Lower total motility and progressive motility | 6 |
| Rubes, 2010 | PM2.5, SO2, NO, CO, O3, PAH, Benzo | 2007 | Longitudinal | Czech | Caucasian | 33.6 ± 5.3 | Residents in winter and spring | Lower total motility and DFI | 9 |
| Calogero, 2011 | Traffic pollutants | NM | Cross-sectional | Italy | Caucasian | 20-47 | Workers at motorways or offices | Lower normal morphology rate, concentration, total sperm count, progressive motility, and DFI | 6 |
| Zhou, 2014 | PM10, SO2, NO2 | 2007 | Cross-sectional | China | Asian | 20-40 | Residents in urban or rural areas | Lower normal morphology rate, VSL, VCL, and VAP | 8 |
| Wu, 2016 | PM10 | 2013-2015 | Cross-sectional | China | Asian | 34.4 ± 5.4 | Residents with different PM exposure | Lower concentration and total count | 9 |
| Liu, 2017 | SO2 | 2013-2015 | Cross-sectional | China | Asian | 34.4 ± 5.4 | Residents with different PM exposure | Lower total count, concentration, progressive motility, and total motility | 9 |
| Lao, 2018 | PM2.5 | 2001, 2004 | Cross-sectional | China | Asian | 31.9 ± 4.3 | Residents with different PM exposure | Lower normal morphology and higher sperm concentration | 8 |
ALH: amplitude of lateral movement of sperm head; DFI: DNA fragmentation index; LIN: linearity of sperm motion; NM: not mentioned; NOS: Newcastle-Ottawa Scale; TSPs: PM-total suspended particulates; VCL: sperm curvilinear velocity; VSL: sperm linear velocity.
Figure 1Flow diagram of the study selection process.
Figure 2Forest plots of merged analyses of effects on sperm parameters by outdoor air pollution. (a–e) Forests plots of merged analyses of semen volume, sperm concentration, total sperm count, normal morphology rate, progressive motility, and total sperm motility, respectively.
Figure 3Forest plots of merged analyses of effects on DFI and CASA measures by outdoor air pollution. (a–d) Forests plots of merged analyses of DFI, VCL, VSL, and LIN, respectively.
Primary outcomes of the enrolled studies.
| Study | Sample size | Semen volume (mL) | Sperm concentration (106/mL) | Total count (106) | ||||
| High | Low | High | Low | High | Low | High | Low | |
| Selevan, 2000 | 47 | 162 | 2.2 ± 1.3 | 2.0 ± 1.1 | 60.1 ± 46.7 | 59.9 ± 64.3 | 129.1 ± 103.1 | 113.5 ± 130.7 |
| De Rosa, 2003 | 85 | 85 | 2.5 ± 0.9 | 2.7 ± 0.9 | 32.4 ± 22.1 | 33.7 ± 14.7 | NM | NM |
| Rubes, 2005 | 36 | 36 | 3.0 ± 1.7 | 3.3 ± 1.5 | 81.6 ± 42.09 | 92.1 ± 79.0 | 234.2 ± 141.1 | 278.1 ± 245.4 |
| Guven, 2008 | 38 | 35 | 3.2 ± 1.3 | 3.4 ± 1.4 | 44.6 ± 36.3 | 70.9 ± 50.0 | NM | NM |
| Boggia, 2009 | 100 | 64 | NM | NM | 34.3 ± 20.3 | 37.3 ± 11.7 | NM | NM |
| Rubes, 2010 | 47 | 47 | 3.2 ± 1.3 | 3.2 ± 1.3 | 134.2 ± 84.1 | 150.8 ± 84.6 | NM | NM |
| Calogero, 2011 | 36 | 32 | NM | NM | 24.1 ± 15.4 | 99.2 ± 56.7 | 64.9 ± 43.3 | 240.6 ± 111.4 |
| Zhou, 2014 | 429 | 917 | 2.3 ± 1.1 | 2.5 ± 1.4 | 79.4 ± 46.2 | 77.4 ± 44.6 | NM | NM |
| Wu, 2016 | 367 | 349 | NM | NM | 39.4 ± 29.1 | 42.0 ± 30.3 | 104.4 ± 82.9 | 102.6 ± 96.4 |
| Liu, 2017 | 370 | 327 | NM | NM | 39.4 ± 27.3 | 43.1 ± 31.1 | 108.4 ± 82.0 | 114.7 ± 96.0 |
| Lao, 2018 | 535 | 501 | NM | NM | 40.6 ± 2.5 | 41.9 ± 2.3 | NM | NM |
|
| ||||||||
| Study | Progressive motility (PR, %) | Total motility (PR + NP, %) | Normal morphology (%) | SCSA-DFI (%) | ||||
| High | Low | High | Low | High | Low | High | Low | |
| Selevan, 2000 | 32.5 ± 13.2 | 36.2 ± 17.1 | 41.6 ± 40.4 | 50.6 ± 79.6 | 13.2 ± 6.5 | 19.8 ± 8.5 | 28.8 ± 20.4 | 19.2 ± 12.2 |
| De Rosa, 2003 | 12.3 ± 11.0 | 28.7 ± 4.6 | 34.7 ± 20.2 | 56.8 ± 7.4 | NM | NM | NM | NM |
| Rubes, 2005 | NM | NM | 68.3 ± 12.1 | 62.7 ± 21.6 | 8.4 ± 2.6 | 11.3 ± 6.1 | 15.4 ± 12.6 | 13.5 ± 9.8 |
| Guven, 2008 | 54.7 ± 23.6 | 70.3 ± 15.6 | NM | NM | NM | NM | NM | NM |
| Boggia, 2009 | 15.0 ± 7.4 | 31.0 ± 5.3 | 37.0 ± 11.2 | 60.4 ± 6.3 | NM | NM | NM | NM |
| Rubes, 2010 | 58.0 ± 9.9 | 58.1 ± 9.4 | 70.5 ± 8.2 | 74.4 ± 8.3 | 21.3 ± 9.8 | 18.8 ± 7.2 | 12.4 ± 5.8 | 10.1 ± 4.8 |
| Calogero, 2011 | 12.4 ± 8.7 | 27.7 ± 6.9 | 29.6 ± 12.8 | 51.8 ± 10.2 | 17.2 ± 0.8 | 20.1 ± 0.6 | 9.3 ± 0.9 | 4.5 ± 0.4 |
| Zhou, 2014 | 51.7 ± 17.5 | 52.3 ± 17.5 | 69.8 ± 20.9 | 71.0 ± 20.4 | 23.5 ± 11.5 | 30.2 ± 12.3 | NM | NM |
| Wu, 2016 | 38.8 ± 17.7 | 37.0 ± 22.1 | 45.8 ± 20.6 | 44.6 ± 25.4 | NM | NM | NM | NM |
| Liu, 2017 | 38.9 ± 19.6 | 38.6 ± 19.9 | 45.9 ± 22.5 | 46.3 ± 22.8 | NM | NM | NM | NM |
| Lao, 2018 | 48.4 ± 15.4 | 46.9 ± 15.3 | 65.3 ± 14.0 | 66.4 ± 13.7 | 67.9 ± 15.2 | 71.8 ± 13.7 | NM | NM |
NM: not mentioned.
CASA measures of the enrolled studies.
| Study | VCL ( | VSL ( | LIN (%) | |||
|---|---|---|---|---|---|---|
| High | Low | High | Low | High | Low | |
| Selevan, 2000 | 107.8 ± 12.1 | 91.4 ± 21.7 | 48.3 ± 7.4 | 43.3 ± 10.0 | 44.7 ± 5.6 | 47.6 ± 8.2 |
| De Rosa, 2003 | 29.7 ± 18.4 | 52.6 ± 5.5 | 16.1 ± 12.0 | 34.4 ± 5.5 | 47.1 ± 15.6 | 65.8 ± 10.1 |
| Rubes, 2005 | 72.8 ± 11.3 | 70.9 ± 13.2 | 36.4 ± 4.7 | 35.0 ± 6.3 | 52.4 ± 8.1 | 52.2 ± 9.5 |
| Zhou, 2014 | 51.9 ± 12.1 | 53.4 ± 10.8 | 32.1 ± 9.0 | 33.7 ± 8.5 | 60.4 ± 8.4 | 84.9 ± 4.2 |
LIN: linearity of sperm motion; VCL: sperm curvilinear velocity; VSL: sperm linear velocity.
Figure 4Trial sequential analysis of the effects of TST. (a–d) TSA of semen volume, sperm concentration, normal morphology rate, and total sperm motility.