Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Nov:108:32-40.
doi: 10.1016/j.envint.2017.07.026. Epub 2017 Aug 5.

Investigating causal relation between prenatal arsenic exposure and birthweight: Are smaller infants more susceptible?

Affiliations

Investigating causal relation between prenatal arsenic exposure and birthweight: Are smaller infants more susceptible?

Mohammad L Rahman et al. Environ Int. 2017 Nov.

Abstract

Background: Shortening of gestation and intrauterine growth restriction (IUGR) are the two main determinants of birthweight. Low birthweight has been linked with prenatal arsenic exposure, but the causal relation between arsenic and birthweight is not well understood.

Objectives: We applied a quantile causal mediation analysis approach to determine the association between prenatal arsenic exposure and birthweight in relation to shortening of gestation and IUGR, and whether the susceptibility of arsenic exposure varies by infant birth sizes.

Methods: In a longitudinal birth cohort in Bangladesh, we measured arsenic in drinking water (n=1182) collected at enrollment and maternal toenails (n=1104) collected ≤1-month postpartum using inductively coupled plasma mass spectrometry. Gestational age was determined using ultrasound at ≤16weeks' gestation. Demographic information was collected using a structured questionnaire.

Results: Of 1184 singleton livebirths, 16.4% (n=194) were low birthweight (<2500g), 21.9% (n=259) preterm (<37weeks' gestation), and 9.2% (n=109) both low birthweight and preterm. The median concentrations of arsenic in drinking water and maternal toenails were 2.2μg/L (range: below the level of detection [LOD]-1400) and 1.2μg/g (range: <LOD-46.6), respectively. Prenatal arsenic exposure was negatively associated with birthweight, where the magnitude of the association varied across birthweight percentiles. The effect of arsenic on birthweight mediated via shortening of gestation affected all infants irrespective of birth sizes (β range: 10th percentile=-19.7g [95% CI: -26.7, -13.3] to 90th percentile=-10.9g [95% CI: -18.5, -5.9] per natural log water arsenic increase), whereas the effect via pathways independent of gestational age affected only the smaller infants (β range: 10th percentile=-28.0g [95% CI: -43.8, -9.9] to 20th percentile=-14.9g [95% CI: -30.3, -1.7] per natural log water arsenic increase). Similar pattern was observed for maternal toenail arsenic.

Conclusions: The susceptibility of prenatal arsenic exposure varied by infant birth sizes, placing smaller infants at greater risk of lower birthweight by shortening of gestation and possibly growth restriction. It is important to mitigate prenatal arsenic exposure to improve perinatal outcomes in Bangladesh.

PubMed Disclaimer

Conflict of interest statement

Conflict of interest: No conflicts of relevant to this article to disclose.

Figures

Figure 1
Figure 1
Conceptual model for causal mediation analysis showing the relation between arsenic exposure and birthweight considering gestational age a mediator. Covariates include maternal age, education, enrollment BMI, number of past pregnancies, blood hemoglobin, secondhand smoking, and infant gender. Respective path co-efficient for the association between arsenic-birthweight, gestational age-birthweight, and arsenic-gestational age are given by θ1, θ2, and β1, respectively.
Figure 2
Figure 2
Indirect, direct, and total effects of prenatal exposure to inorganic arsenic in drinking water (A1–A3) and maternal toenails (B1–B3) on birthweight considering gestational age a mediator, adjusting for maternal age, education, number of past pregnancies, secondhand smoking, enrollment BMI, blood hemoglobin level and infant gender. Solid black lines sorrounded by shadded areas represent effect estimates and 95% confidence intervals across birthweight percentiles. Horizontal blue dashed lines show reference values.
Figure 3
Figure 3
The distributions of birthweight and birthweight-for-gestational age Z-score by prenatal arsenic exposure measured in drinking water (A1–A2) and maternal toenails (B1–B2) bellow the median concentration (blue) and above the median concentration (red) in the study cohort

Similar articles

Cited by

References

    1. Wilcox AJ. On the importance--and the unimportance--of birthweight. Int J Epidemiol. 2001;30(6):1233–41. - PubMed
    1. WHO and UNICEF, World Health Organization. Low birthweight: country, regional and global estimates Geneva, Switzerland. 2004 [Available from: http://www.unicef.org/publications/files/low_birthweight_from_EY.pdf.
    1. Lee AC, Katz J, Blencowe H, Cousens S, Kozuki N, Vogel JP, et al. National and regional estimates of term and preterm babies born small for gestational age in 138 low-income and middle-income countries in 2010. The Lancet Global health. 2013;1(1):e26–36. - PMC - PubMed
    1. Hosain GM, Chatterjee N, Begum A, Saha SC. Factors associated with low birthweight in rural Bangladesh. J Trop Pediatr. 2006;52(2):87–91. - PubMed
    1. Kline JS, Mervyn, Stein Zena. Conception to birth : epidemiology of prenatal development. New York: Oxford University Press; 1989.
-