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Articles

Community-level environmental characteristics predictive of childhood stunting in Bangladesh - a study based on the repeated cross-sectional surveys

ORCID Icon, ORCID Icon & ORCID Icon
Pages 473-486 | Received 05 Jan 2020, Accepted 01 Jun 2020, Published online: 30 Jun 2020
 

ABSTRACT

Coastal morphology makes Bangladesh vulnerable to environmental hazards and climate change. Therefore, environmental characteristics may shape population health, including child health. The prevalence of stunting among under-five aged (U5) children is high in Bangladesh. However, there is a lack of research on environmental predictors of stunting. This study aimed to assess the association between community-level environmental characteristics and stunting using pooled data from the three latest Bangladesh demographic and health surveys (BDHS). According to the multilevel model, rainfall, distance to protected areas, and vegetation index showed a nonlinear association with stunting. The temperature was inversely, and distance to water bodies was positively related to stunting. Overall, results evidence the environmental characteristics are predictive of stunting, and these characteristics should be taken into account during intervention design to minimise the negative effects of environmental change on child health. Further research is also necessary to comprehend the causal pathways between environmental characteristics and stunting in Bangladesh.

Disclosure statement

The authors declare that there is no conflict of interest.

Ethical standards disclosure

Data analysed in this study are publicly accessible upon request from the DHS website at http://dhsprogram.com/data/available-datasets.cfm. The BDHS was reviewed and approved by the ICF and Macro International Institutional Review Board (USA) and the National Research Ethics Committee of Bangladesh Medical Research Council (Dhaka, Bangladesh). Informed consent from each respondent was obtained before interviewing, and data were deidentified.

Supplementary material

Supplemental data for this article can be accessed here.

Additional information

Funding

This research received no external funding.

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