ArticleBMC pregnancy and childbirth2015
Pregnant women's navigation of information on everyday household chemicals: phthalates as a case study.
Article in BMC pregnancy and childbirth, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Facility-Based Maternal Quality of Care Frameworks: A Systematic Review and Best Fit Framework Analysis.Maternal and child health journal · 2023Pooled it
- "If They Are Not Labeled, How Do We Know What's Risky and What's Not?": Assessing Information on Brominated Flame Retardants in Children's Plastic Products in South Africa.Environmental health insights · 2026Article
- Awareness of endocrine-disrupting chemicals among medical students and physicians: a cross-sectional study.Medical education online · 2025Article
- Knowledge and attitudes of pregnant women about endocrine disruptors.Revista da Associacao Medica Brasileira (1992) · 2025Article
- Environmental Health Attitudes, Practices, and Educational Preferences: A National Survey of Reproductive-Aged Women in Canada.International journal of environmental research and public health · 2024Article
- Development of a Phthalate Environmental Reproductive Health Literacy (PERHL) Scale.Environmental health perspectives · 2024Article
- A Clinical Preventive Strategy Based on a Digital Tool to Improve Access to Endocrine Disruptors Exposure Prevention: The MEDPREVED Study.International journal of environmental research and public health · 2022Article
- Prenatal exposure to consumer product chemical mixtures and size for gestational age at delivery.Environmental health : a global access science source · 2021Article
- How to Educate Pregnant Women about Endocrine Disruptors?International journal of environmental research and public health · 2020Article
- Pregnant women's experiences and perceptions of participating in the EVERREST prospective study; a qualitative study.BMC pregnancy and childbirth · 2019Article
- Phthalate Exposure in Pregnant Women: Risk Perception and Preventive Advice of Perinatal Health Professionals.Maternal and child health journal · 2019Article
- Endocrine Disruptors and Pregnancy: Knowledge, Attitudes and Prevention Behaviors of French Women.International journal of environmental research and public health · 2017Article
- Changes in Cosmetics Use during Pregnancy and Risk Perception by Women.International journal of environmental research and public health · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundCurrent developments in science and the media have now placed pregnant women in a precarious situation as they are charged with the responsibility to navigate through information sources to make the best decisions for her pregnancy. Yet little is known regarding how pregnant women want to receive and use health information in general, let alone information regarding the uncertain risks to pregnancy in everyday household products such as phthalates found in cosmetics and canned food liners. Using phthalates as an example, this study investigated how pregnant women obtain, evaluate, and act on information regarding their pregnancy.
methodsPregnant women were recruited using pamphlets and posters distributed in prenatal clinics, prenatal fairs and physician offices in Southwestern Ontario Canada. Research participants were engaged in 20 to 40 min semi-structured interviews regarding their use of information sources in pregnancy, particularly regarding phthalates in cosmetics and canned food liners. Interviews were transcribed verbatim and analyzed using constructivist grounded theory techniques supported by NVivo 9™ software.
resultsTheoretical sufficiency was reached after 23 pregnant women were interviewed and their transcripts analyzed. Three overlapping themes resulted from the co-constructed analysis: I-Strength of Information Sources; II-Value Modifiers; and III-Deciding to Control Exposure. The research participants reported receiving information from a wide range of sources that they perceived varying in strength or believability. They then described the strategies employed to increase the validity of the message in order to avoid risk exposure. Pregnant women preferred a strong source of information such as physician, government but frequently used weak sources such as the internet or the opinions of friends. A model was developed from the relationship between themes that describes how pregnant women navigate the multiple sources of information available to them.
conclusionOur study provides insight into how pregnant women receive, appraise, and act on information regarding everyday household chemicals. Clinicians and their professional organizations should produce specific educational materials to assist women in understanding exposure to everyday products in pregnancy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.