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Table 1 Characteristics of the studies included in the systematic review and meta‐analysis

From: Association between ambient particulate matter and semen quality parameters: a systematic review and meta-analysis

Author (Ref)

Year

Country

Study design

No. of semen samples

Exposure assessment

Exposure window

Semen analysis method

Age (years) Mean/SD

BMI (kg/m) Mean/SD

Outcome

Cheng et al. [8]

2022

China

Cross-sectional study

1607

IDW model

lag 0–90 days

Lag 0–1 year

WHO-guided semen analysis

30.9 (4.2)

25.7 (2.8)

Semen volume, sperm concentration, total sperm number, total motility, progressive motility

Farhat et al. [20]

2016

Brazil

Longitudinal study

56

Grid air pollution

Lag 80–88 days

WHO-guided semen analysis

29.8 (8.9)

NA

Sperm concentration, total sperm number

Hansen et al. [13]

2010

USA

Longitudinal study

228

The U.S. environmental protection agency air quality system data mart

Lag 0–90 days

CASA

29.5 (2.1)

NA

Sperm concentration, total sperm number, normal forms

Nobles et al. [21]

2018

USA

Longitudinal study

501

Community multiscale air quality models

Lag 0–72 days

CASA

31.8 (4.8)

29.9 (5.6)

Semen volume, total sperm number, total motility

Qiu et al. [22]

2020

China

Longitudinal study

4841

Chengdu metropolitan monitor stations

Lag 0–90 days

WHO-guided semen analysis

27.78 (5.35)

22.57 (2.43)

Semen volume, sperm concentration, total sperm number, progressive motility

Radwan et al. [23]

2016

Poland

Cross-sectional study

285

Air quality information system

Lag 0–90 days

CASA

32.3 (4.4)

112 (34.3)

Sperm concentration, total sperm number, total motility

Wu et al. [9]

2017

China

Longitudinal study

2184

IDW model

Lag 0–90 days

CASA

34.4 (5.4)

24.4 (3.4)

Semen volume, sperm concentration, total sperm number, total motility, progressive motility

Yang et al. [24]

2021

China

Longitudinal study

1991

China network environment monitoring center

Lag 0–90 days

CASA

25.61 (4.99)

22.34 (1.97)

Sperm concentration, total sperm number, total motility, progressive motility

Zhou et al. [25]

2020

China

Cross-sectional study

382

Ordinary Kringing model

Lag 0–90 days

WHO-guided semen analysis

29.71 (4.08)

26.3 (3.2)

Semen volume, sperm concentration, total sperm number, total motility

  1. BMI Body mass index, CASA Computer-assisted semen analysis, IDW Inverse distance weighting, NA Not available, SD Standard deviation