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. 2024 Dec 18;21(12):1691.
doi: 10.3390/ijerph21121691.

An Assessment of Multipollutant Exposures Using Silicone Wristbands Among Bangladeshi Youth

Margaret Quaid  1 , Syed Emdadul Haque  2 , Tariqul Islam  2 , Mohammad Hasan Shahriar  3 , Golam Sarwar  2 , Alauddin Ahmed  2 , Steven O'Connell  4 , Farzana Jasmine  3 , Muhammad G Kibriya  3 , Habibul Ahsan  3 , Maria Argos  1
Affiliations

An Assessment of Multipollutant Exposures Using Silicone Wristbands Among Bangladeshi Youth

Margaret Quaid et al. Int J Environ Res Public Health. .

Abstract

Residents of Bangladesh are exposed to numerous chemicals due to local industries, including dyeing mills, cotton mills, and the use of biomass in daily cooking. It is, therefore, important to characterize the exposome and work to identify risk factors of exposure. We used silicone wristband passive samplers to evaluate exposure to volatile and semi-volatile organic compounds in a sample of 40 children in the Araihazar upazila of Bangladesh. We used stepwise linear regression models to determine which demographic, exposure, diet, and socioeconomic factors best predict exposure to single chemicals and classes of chemicals. Male sex at birth was associated with a decrease in the number of chemicals detected above their median concentration (β = -2.42; 95%CI: -5.24, 0.399), as was ownership of a flush toilet (β = -3.26; 95%CI: -6.61, 0.097). Increased body mass index (β = 1.81; 95%CI: 0.587, 3.03), father's smoking (β = 2.74; 95%CI: -0.0113, 5.49), and father's employment in the garment industry (β = 3.14; 95%CI: 0.209, 6.07) were each associated with an increase in the average number of chemicals detected above their median concentration. The observed results motivate future evaluation with health outcomes of these exposures.

Keywords: Bangladesh; children; exposome; multipollutant; silicone wristband personal monitoring; volatile organic compounds; wearable sensor.

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Conflict of interest statement

Author Steven O’Connell was employed by the company MyExposome, Inc. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Spearman correlation plot of chemicals detected in ≥50% of wristbands. Blue indicates more positive correlation while red indicates negative. * p-value < 0.05; ** p-value < 0.01; *** p-value < 0.001.
Figure 2
Figure 2
Eigenvalue associated with each principal component. Principal components with eigenvalues greater than 1 (red line) were used in the analysis. This included principal components 1 through 9.
Figure 3
Figure 3
Principal components analysis results. Rice, beans, fish, meat, fruit, vegetables, sweets, milk, and juice consumption are all reported in units of days the food was consumed per month. Water consumption is reported in units of L/day.
See this image and copyright information in PMC

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