Perceptions and Attitudes of Gynecologic and Pediatric Professionals Regarding Dietary Exposure to Chemical Pollutants.
Juan Pedro ArrebolaAraceli MuñozSilvia FerreroCristina Larrea-KillingerPublished in: International journal of environmental research and public health (2020)
There is increasing concern regarding the potential implications of continuous dietary exposure to low doses of artificial chemical pollutants, particularly in critical life stages such as pregnancy and lactation. Within a wider social research, we analyzed the risk perception, discourses, and attitudes of health professionals regarding dietary exposure to artificial chemical contaminants. Data was collected by personal interviews on 35 health professionals from two Spanish regions. Although the participants' discourses were strongly dominated by the nutritional composition and microbiological contamination, 34 expressed some concern regarding metals, and 23 regarding pesticides. Although only one participant mentioned a plasticizer (i.e., bisphenol A), we noted an underlying concern, since six professionals admitted to recommending pregnant women to somewhat avoid plastic food containers, and were aware of mother-to-child transmission and accumulation of artificial chemicals. The ubiquity of the exposure, the inability to locate the threat, and contradictory messages can all create a sense of helplessness and subsequent cognitive adjustments. Our participants also reported a lack of information, particularly on emerging pollutants. In conclusion, we found a range of valuable discourses that can aid in orienting public health strategies aimed at health professionals who have a substantial influence on their patients.
Keyphrases
- public health
- pregnant women
- mental health
- human health
- risk assessment
- end stage renal disease
- heavy metals
- healthcare
- ejection fraction
- health risk
- newly diagnosed
- chronic kidney disease
- drinking water
- primary care
- peritoneal dialysis
- preterm birth
- dairy cows
- health risk assessment
- endometrial cancer
- machine learning
- climate change
- high resolution
- mass spectrometry
- social media
- artificial intelligence
- liquid chromatography
- low birth weight