The Effects of Electromagnetic Field (EMF) on Pregnancy and Postpartum Outcomes: A Systematic Review
Bibliographic record
Abstract
Introduction: Humans knowingly or unknowingly are daily exposed to electromagnetic fields and today electricity is an integral part of life. Therefore, the present study was performed with aim to systematically review the studies on the effect of electromagnetic field on pregnancy and postpartum outcomes.Methods: In this review article, which was written based on the PRISMA guidelines, all cohort and case and control studies were searched from the databases of Magiran, Medlib, Web of Science, SID, Iran Medex, Scopus, PubMed, Science Direct, and Google Scholar with keywords of electromagnetic field, mobile phones, mobile phone base stations, watching TV, using Internet, pregnancy outcome, perinatal mortality, preeclampsia, childhood cancers, asthma in offspring, congenital defects, and behavioral and emotional disorders without time limit until May 2022. The quality of the studies was evaluated using the Newcastle-Ottawa criteria. Content analysis was done qualitatively.Results: In this study, 477 articles were extracted. Then, 10 studies with a score of 6 and above were examined with the Newcastle-Ottawa criteria. A review of the evaluated variables in the articles showed that father's exposure to electromagnetic field has been associated with the risk of perinatal mortality, preeclampsia and congenital defects, and the mother's exposure was associated with the risk of asthma, amniotic fluid reduction, decreased motor skills, and delayed neurodevelopment of children. But the pregnant women's living in the vicinity of masts, high voltage cables and mobile phone base stations did not increase congenital anomalies, childhood cancers and behavioral and emotional problems (such as hyperactivity, inattention) in children.Conclusion: Contact of father or mother with electromagnetic waves during pregnancy can cause problems in pregnancy and their children. Therefore, it is recommended to control exposure to electromagnetic fields as much as possible.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".