Exposure to landscape fire smoke reduced birthweight in low- and middle-income countries: findings from a siblings-matched case-control study
Figures
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Distribution of the fire-sourced PM2.5 concentrations (average for 2000–2014) and the locations of the analyzed livebirths (gray dots).
The circles represent the rate of very low birthweight births among the analyzed livebirths by country.
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Effects of fire-sourced PM2.5, estimated by linear models.
The dots with error bars show the estimated associations between gestational exposure to fire-sourced PM2.5 and birthweight change, low birthweight, or very low birthweight. The dots represent the point estimates, and bars represent the corresponding 95% confidence intervals.
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The estimated associations between fire-sourced PM2.5 and birthweight change, low birthweight or very low birthweight, by different lags.
The nth lagged exposure is defined as the concentration of fire-sourced PM2.5 during the nth month before birth. The results are estimated from the lag-distributed models.
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The cumulated birthweight change associated with an average of fire-sourced PM2.5 concentrations from a lagged month to birth.
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The subpopulation-specific associations between gestational exposure to fire-sourced PM2.5 and birthweight change, low birthweight and very low birthweight.
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The nonlinear association between gestational exposure to fire-sourced PM2.5 and change in birthweight.
The solid line represents the point estimates, the dashed line represents the 95% confidence intervals, the boxplots represent the distributions of different exposure levels by regions, and the red dots represent the mean exposure level.
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Baseline-varying effect of fire-sourced PM2.5 on birthweight.
The lines show the estimated association (y-axis) between gestational exposure to fire-sourced PM2.5 and relative change in birthweight, given different baseline birthweights (x-axis). The solid line represents the point estimates, the dashed line represents the 95% confidence intervals, and the boxplots represent the distributions of different birthweights by region.
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The baseline-varying association between gestational exposure to fire-sourced PM2.5 and absolute birthweight change.
The solid line presents the point estimates, the dashed line presents the 95% confidence intervals, and the boxplots present the distributions of different birthweight levels by regions.
Tables
Between- or within-group variations in birthweight and gestational exposure to fire-sourced PM2.5 and their correlations.
Standard deviation (% of total variance) | Correlation (R) | ||
---|---|---|---|
Birthweight(g) | Fire-sourced PM2.5 g/m3 | ||
Total | 724 (100%) | 5.53 (100%) | 0.1594 |
Between groups of matched siblings | 613 (71.7%) | 5.30 (91.7%) | 0.1973 |
Within groups of matched siblings | 386 (28.3%) | 1.59 (8.3%) | −0.0035 |
Additional files
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Supplementary file 1
Summary of analyzed variables.
(a) Comparison between the PM2.5 concentrations simulated by GEOS-Chem model and those estimated from satellite measurements and other inputs. In the comparison, the satellite-based estimates are utilized as the gold-standard referent values and the GEOS-Chem simulations as predictions. (b) Population characteristics.
- https://cdn.elifesciences.org/articles/69298/elife-69298-supp1-v2.docx
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Transparent reporting form
- https://cdn.elifesciences.org/articles/69298/elife-69298-transrepform1-v2.docx
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Source code 1
- https://cdn.elifesciences.org/articles/69298/elife-69298-supp2-v2.zip
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Reporting standard 1
Checklist of STROBE items.
- https://cdn.elifesciences.org/articles/69298/elife-69298-repstand1-v2.doc