Ecuador’s annual mortality rate from SIDS is 0.4 per 100 000 people, 4 times higher than neighboring countries Peru, Bolivia, and Brazil. Modifying the infant sleep environment toward safe practice has been demonstrated to be the most effective risk reduction strategy in reducing mortality from SIDS and little is known about sleep practices in Ecuador. The purpose of this study is to describe baseline infant sleep intentions of pregnant women in a peri-urban, low resource community in Ecuador. We also aim to identify demographic and psychosocial factors associated with suboptimal sleep practices in this context to develop long-term strategies to identify infants with high risk for SIDS/SUID. A cross-sectional study design was employed with 100 women in their third trimester of pregnancy. The majority of women were partnered (82%), both parents had approximately 8 years of education, and over half reported that their incomes met or exceeded their basic needs (55%). Significant predictors of safer sleep intention included years of paternal education (P = .019) and income meeting their basic needs (P = .0049). For each additional year of paternal education, families were 23% more likely to report safer intended infant sleep practices. Compared to those whose income did not allow for basic needs, those who had sufficient income to meet (or exceed) basic needs were 425% more likely to report safer intended sleep practices. Targeted interventions to high-risk populations may reduce the burden of SIDS/SUID in this community.

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Published in Global Pediatric Health, v. 8.

© The Author(s) 2021

This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).

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The project utilized RedCap as a data collection tool and this was supported by the NIH National Center for Advancing Translational Sciences through grant number UL1TR001998.

This project was funded in part through a grant administered from the University of Kentucky, Department of Pediatrics, from the Children’s Miracle Network Fund.