TY - JOUR
T1 - Application of the navigation guide systematic review methodology to evaluate prenatal exposure to particulate matter air pollution and infant birth weight
AU - Uwak, Inyang
AU - Olson, Natalie
AU - Fuentes, Angelica
AU - Moriarty, Megan
AU - Pulczinski, Jairus
AU - Lam, Juleen
AU - Xu, Xiaohui
AU - Taylor, Brandie D.
AU - Taiwo, Samuel
AU - Koehler, Kirsten
AU - Foster, Margaret
AU - Chiu, Weihsueh A.
AU - Johnson, Natalie M.
N1 - Publisher Copyright:
© 2021 The Authors
PY - 2021/3
Y1 - 2021/3
N2 - Low birth weight is an important risk factor for many co-morbidities both in early life as well as in adulthood. Numerous studies report associations between prenatal exposure to particulate matter (PM) air pollution and low birth weight. Previous systematic reviews and meta-analyses report varying effect sizes and significant heterogeneity between studies, but did not systematically evaluate the quality of individual studies or the overall body of evidence. We conducted a new systematic review to determine how prenatal exposure to PM2.5, PM10, and coarse PM (PM2.5-10) by trimester and across pregnancy affects infant birth weight. Using the Navigation Guide methodology, we developed and applied a systematic review protocol [CRD42017058805] that included a comprehensive search of the epidemiological literature, risk of bias (ROB) determination, meta-analysis, and evidence evaluation, all using pre-established criteria. In total, 53 studies met our inclusion criteria, which included evaluation of birth weight as a continuous variable. For PM2.5 and PM10, we restricted meta-analyses to studies determined overall as “low” or “probably low” ROB; none of the studies evaluating coarse PM were rated as “low” or “probably low” risk of bias, so all studies were used. For PM2.5, we observed that for every 10 µg/m3 increase in exposure to PM2.5 in the 2nd or 3rd trimester, respectively, there was an associated 5.69 g decrease (I2: 68%, 95% CI: −10.58, −0.79) or 10.67 g decrease in birth weight (I2: 84%, 95% CI: −20.91, −0.43). Over the entire pregnancy, for every 10 µg/m3 increase in PM2.5 exposure, there was an associated 27.55 g decrease in birth weight (I2: 94%, 95% CI: −48.45, −6.65). However, the quality of evidence for PM2.5 was rated as “low” due to imprecision and/or unexplained heterogeneity among different studies. For PM10, we observed that for every 10 µg/m3 increase in exposure in the 3rd trimester or the entire pregnancy, there was a 6.57 g decrease (I2: 0%, 95% CI: −10.66, −2.48) or 8.65 g decrease in birth weight (I2: 84%, 95% CI: −16.83, −0.48), respectively. The quality of evidence for PM10 was rated as “moderate,” as heterogeneity was either absent or could be explained. The quality of evidence for coarse PM was rated as very low/low (for risk of bias and imprecision). Overall, while evidence for PM2.5 and course PM was inadequate primarily due to heterogeneity and risk of bias, respectively, our results support the existence of an inverse association between prenatal PM10 exposure and low birth weight.
AB - Low birth weight is an important risk factor for many co-morbidities both in early life as well as in adulthood. Numerous studies report associations between prenatal exposure to particulate matter (PM) air pollution and low birth weight. Previous systematic reviews and meta-analyses report varying effect sizes and significant heterogeneity between studies, but did not systematically evaluate the quality of individual studies or the overall body of evidence. We conducted a new systematic review to determine how prenatal exposure to PM2.5, PM10, and coarse PM (PM2.5-10) by trimester and across pregnancy affects infant birth weight. Using the Navigation Guide methodology, we developed and applied a systematic review protocol [CRD42017058805] that included a comprehensive search of the epidemiological literature, risk of bias (ROB) determination, meta-analysis, and evidence evaluation, all using pre-established criteria. In total, 53 studies met our inclusion criteria, which included evaluation of birth weight as a continuous variable. For PM2.5 and PM10, we restricted meta-analyses to studies determined overall as “low” or “probably low” ROB; none of the studies evaluating coarse PM were rated as “low” or “probably low” risk of bias, so all studies were used. For PM2.5, we observed that for every 10 µg/m3 increase in exposure to PM2.5 in the 2nd or 3rd trimester, respectively, there was an associated 5.69 g decrease (I2: 68%, 95% CI: −10.58, −0.79) or 10.67 g decrease in birth weight (I2: 84%, 95% CI: −20.91, −0.43). Over the entire pregnancy, for every 10 µg/m3 increase in PM2.5 exposure, there was an associated 27.55 g decrease in birth weight (I2: 94%, 95% CI: −48.45, −6.65). However, the quality of evidence for PM2.5 was rated as “low” due to imprecision and/or unexplained heterogeneity among different studies. For PM10, we observed that for every 10 µg/m3 increase in exposure in the 3rd trimester or the entire pregnancy, there was a 6.57 g decrease (I2: 0%, 95% CI: −10.66, −2.48) or 8.65 g decrease in birth weight (I2: 84%, 95% CI: −16.83, −0.48), respectively. The quality of evidence for PM10 was rated as “moderate,” as heterogeneity was either absent or could be explained. The quality of evidence for coarse PM was rated as very low/low (for risk of bias and imprecision). Overall, while evidence for PM2.5 and course PM was inadequate primarily due to heterogeneity and risk of bias, respectively, our results support the existence of an inverse association between prenatal PM10 exposure and low birth weight.
KW - Air pollution
KW - Low birth weight
KW - Meta-analysis
KW - Navigation Guide
KW - Particulate matter
KW - Prenatal
KW - Risk of bias
KW - Systematic review
UR - http://www.scopus.com/inward/record.url?scp=85099844047&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85099844047&partnerID=8YFLogxK
U2 - 10.1016/j.envint.2021.106378
DO - 10.1016/j.envint.2021.106378
M3 - Review article
C2 - 33508708
AN - SCOPUS:85099844047
SN - 0160-4120
VL - 148
JO - Environment international
JF - Environment international
M1 - 106378
ER -