scholarly journals Ambient and household air pollution on early-life determinants of stunting—a systematic review and meta-analysis

Author(s):  
Vivian C. Pun ◽  
Russell Dowling ◽  
Sumi Mehta

AbstractStunting is an important risk factor for early growth and health implications throughout the life course, yet until recently, studies have rarely focused on populations exposed to high levels of particulate matter pollution or on developing countries most vulnerable to stunting and its associated health and developmental impacts. We systematically searched for epidemiologic studies published up to 15 August 2020 that examined the association between ambient and household particulate exposure and postnatal stunting (height-for-age z-score) and prenatal determinants (small for gestational age or SGA, or equivalent) of stunting. We conducted the literature search in PUBMED, MEDLINE, EMBASE, and Web of Science databases in August 2020, using keywords including, but not limited to, “particulate matter,” “indoor/household air pollution,” and “adverse birth outcomes,” to identify relevant articles. Forty-five studies conducted in 29 countries met our inclusion criteria for meta-analysis. We found significant positive associations between SGA and a 10 μg/m3 increase in fine particulate matter (PM2.5) exposure over the entire pregnancy [OR = 1.08; 95% confidence interval (CI): 1.03–1.13], with similar SGA impact during the second and third trimesters, and from high exposure quartile of PM2.5 exposure during the entire pregnancy. A 19% increased risk of postnatal stunting (95% CI: 1.10, 1.29) was also associated with postnatal exposure to household air pollution. Our analysis shows consistent, significant, and noteworthy evidence of elevated risk of stunting-related health outcomes with ambient PM2.5 and household air pollution exposure. This evidence reinforces the importance of promoting clean air as part of an integrated approach to preventing stunting.

2020 ◽  
Author(s):  
Vivian Chit Pun ◽  
Russell Dowling ◽  
Sumi Mehta

Abstract Background Stunting is an important risk factor for early growth and development with health implications throughout the life course. While maternal exposure to particulate matter (PM) has been linked to early determinants of stunting, existing evidence has rarely captured the most vulnerable populations. Methods We conducted a systematic review and meta-analysis of the peer-reviewed literature to assess the evidence of the association between ambient and household PM pollution exposure and postnatal stunting (height-for-age z-score), and prenatal determinants (i.e., intrauterine growth restriction and small for gestational age) that would greatly increase children’s risk of stunting. Relevant manuscripts published from 2000 to 2019 were reviewed. Random effect models were used to estimate pooled odds ratios (OR). Results Thirty-two studies conducted in 18 countries met our inclusion criteria. We found significant positive associations between prenatal determinants of stunting and a 10 μg/m 3 increase in PM 2.5 during the first trimester (OR=1.02; 95% confidence interval (CI): 1.00–1.04) and second trimester (OR=1.04; 95% CI, 1.01–1.07). Similar associations were found for prenatal determinants of stunting of high versus low quartiles of PM 2.5 exposure during the whole pregnancy. Postnatal stunting was found to be positively, though insignificantly, associated with postnatal exposure to household air pollution. Conclusions Our analysis shows evidence of increased risk of prenatal determinants of stunting with ambient particulate exposure, especially during first trimester, and suggestive evidence of elevated stunting risk with postnatal exposure to household air pollution. This evidence reinforces the importance of promoting clean air as part of an integrated approach to preventing stunting.


2018 ◽  
Vol 28 (4) ◽  
pp. 400-410 ◽  
Author(s):  
Jessica L. Elf ◽  
Aarti Kinikar ◽  
Sandhya Khadse ◽  
Vidya Mave ◽  
Nishi Suryavanshi ◽  
...  

Toxics ◽  
2016 ◽  
Vol 4 (3) ◽  
pp. 12 ◽  
Author(s):  
Kanyiva Muindi ◽  
Elizabeth Kimani-Murage ◽  
Thaddaeus Egondi ◽  
Joacim Rocklov ◽  
Nawi Ng

Author(s):  
Megan Benka-Coker ◽  
Maggie Clark ◽  
Sarah Rajkumar ◽  
Bonnie Young ◽  
Annette Bachand ◽  
...  

Household air pollution is estimated to be responsible for nearly three million premature deaths annually. Measuring fractional exhaled nitric oxide (FeNO) may improve the limited understanding of the association of household air pollution and airway inflammation. We evaluated the cross-sectional association of FeNO with exposure to household air pollution (24-h average kitchen and personal fine particulate matter and black carbon; stove type) among 139 women in rural Honduras using traditional stoves or cleaner-burning Justa stoves. We additionally evaluated interaction by age. Results were generally consistent with a null association; we did not observe a consistent pattern for interaction by age. Evidence from ambient and household air pollution regarding FeNO is inconsistent, and may be attributable to differing study populations, exposures, and FeNO measurement procedures (e.g., the flow rate used to measure FeNO).


2019 ◽  
Vol 8 (1) ◽  
pp. 57-66 ◽  
Author(s):  
Jie Yu ◽  
Yin Tang ◽  
Jie Xu

Objective: Cooking and heating with coal is the main source of household air pollution in acid rain-plagued areas of China and is a leading contributor to disease burden.


2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Jacob S. Lefler ◽  
Joshua D. Higbee ◽  
Richard T. Burnett ◽  
Majid Ezzati ◽  
Nathan C. Coleman ◽  
...  

Abstract Background Cohort studies have documented associations between fine particulate matter air pollution (PM2.5) and mortality risk. However, there remains uncertainty regarding the contribution of co-pollutants and the stability of pollution-mortality associations in models that include multiple air pollutants. Furthermore, it is unclear whether the PM2.5-mortality relationship varies spatially, when exposures are decomposed according to scale of spatial variability, or temporally, when effect estimates are allowed to change between years. Methods A cohort of 635,539 individuals was compiled using public National Health Interview Survey (NHIS) data from 1987 to 2014 and linked with mortality follow-up through 2015. Modelled air pollution exposure estimates for PM2.5, other criteria air pollutants, and spatial decompositions (< 1 km, 1–10 km, 10–100 km, > 100 km) of PM2.5 were assigned at the census-tract level. The NHIS samples were also divided into yearly cohorts for temporally-decomposed analyses. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) in regression models that included up to six criteria pollutants; four spatial decompositions of PM2.5; and two- and five-year lagged mean PM2.5 exposures in the temporally-decomposed cohorts. Meta-analytic fixed-effect estimates were calculated using results from temporally-decomposed analyses and compared with time-independent results using 17- and 28-year exposure windows. Results In multiple-pollutant analyses, PM2.5 demonstrated the most robust pollutant-mortality association. Coarse fraction particulate matter (PM2.5–10) and sulfur dioxide (SO2) were also associated with excess mortality risk. The PM2.5-mortality association was observed across all four spatial scales of PM2.5, with higher but less precisely estimated HRs observed for local (< 1 km) and neighborhood (1–10 km) variations. In temporally-decomposed analyses, the PM2.5-mortality HRs were stable across yearly cohorts. The meta-analytic HR using two-year lagged PM2.5 equaled 1.10 (95% CI 1.07, 1.13) per 10 μg/m3. Comparable results were observed in time-independent analyses using a 17-year (HR 1.13, CI 1.09, 1.16) or 28-year (HR 1.09, CI 1.07, 1.12) exposure window. Conclusions Long-term exposures to PM2.5, PM2.5–10, and SO2 were associated with increased risk of all-cause and cardiopulmonary mortality. Each spatial decomposition of PM2.5 was associated with mortality risk, and PM2.5-mortality associations were consistent over time.


2018 ◽  
Vol 120 ◽  
pp. 354-363 ◽  
Author(s):  
Matthew Shupler ◽  
William Godwin ◽  
Joseph Frostad ◽  
Paul Gustafson ◽  
Raphael E. Arku ◽  
...  

2016 ◽  
Vol 2016 (1) ◽  
Author(s):  
Christina Norris* ◽  
Ellison M. Carter ◽  
Kathie L. Dionisio ◽  
Kalpana Balakrishnan ◽  
William Checkley ◽  
...  

2017 ◽  
Vol 75 (2) ◽  
pp. 148-154 ◽  
Author(s):  
Xiang Qian Lao ◽  
Zilong Zhang ◽  
Alexis K H Lau ◽  
Ta-Chien Chan ◽  
Yuan Chieh Chuang ◽  
...  

ObjectivesEnvironmental exposure to chemicals has been considered a potential factor contributing to deteriorated semen quality. However, previous literature on exposure to air pollution and semen quality is inconsistent. We therefore investigated the health effects of short-term and long-term exposure to fine particulate matter (PM2.5) on semen quality in Taiwanese men from the general population.MethodsA cross-sectional study was conducted among 6475 male participants aged 15–49 years who participated in a standard medical examination programme in Taiwan between 2001 and 2014. Semen quality was assessed according to the WHO 1999 guidelines, including sperm concentration, total motility, progressive motility and morphology. Three-month and 2-year average PM2.5 concentrations were estimated at each participant’s address using a spatiotemporal model based on satellite-derived aerosol optical depth data. Multivariable linear and logistic regressions were used to examine the associations between PM2.5 and semen quality.ResultsA robust association was observed between exposure to PM2.5 and decreased normal morphology. Every increment of 5 µg/m3 in 2-year average PM2.5 was significantly associated with a decrease of 1.29% in sperm normal morphology and a 26% increased risk of having the bottom 10% of sperm normal morphology, after adjusting for a wide range of potential confounders (p<0.001). On the other hand, an increment of 5 µg/m3 in 2-year average PM2.5 was associated with an increase of 1.03×106/mL in sperm concentration and a 10% decreased risk of being the bottom 10% of sperm concentration (both p<0.001). Similar results were found for 3-month PM2.5.ConclusionsExposure to ambient PM2.5 air pollution is associated with a lower level of sperm normal morphology and a higher level of sperm concentration.


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