Body mass index as a risk prediction and prevention factor for professional mixed low-intensity EMF burden. (3rd July 2015)

• Record Type: Journal Article
• Authors: Vesselinova, Lyubina
• Is Part Of: Electromagnetic biology and medicine. Volume 34:Number 3(2015:Jul.)
• Page Start: 238
• Page End: 243
• Publication Date: 2015-07-03
• Subjects: EMF-BMI causality -- mixed low-intensity EMFs -- morbidity aggravation -- BMI – burden predictor -- overweight control; Electrophysiology -- Periodicals; Electromagnetic Fields -- Periodicals; Electrophysiology -- Periodicals; Radiation, Nonionizing -- Periodicals; 574
• DOI: 10.3109/15368378.2015.1076449
• Languages: English
• ISSNs: 1536-8378

Abstract

Abstract: The exposure conditions in the physiotherapy are characterized with various sources emitting electromagnetic fields (EMF) in different frequency ranges. Very little is known about the exposure modalities' influence on the operators. In this article, we present the effects of EMF on personnel morbidity profile dependent on the body mass index (BMI) increase. By cross-tabulation, the role of higher BMI on enhancing the EMF vulnerability potential is confirmed. The correlation of the higher BMI with some serious diseases and conditions' development has been evidenced statistically significant. Вy the whole-studied group, a general tendency for allergy, cardiovascular diseases, sleep disruption and age-shortened menopause, as well as allergy and leiomyoma in the expositional criteria subgroups (ESG), formed for the purposes of this study, is evidenced. The three ESGs are formed on work residence duration in the electrolight therapy section. The first – up to four working hour daily, the second – the entire working day (7 h) and the third group is not residenced in the electrolight therapy section. We hypothesize two signaling ways of interaction of the chronically low-intensity EMF and the higher BMI as the most likely: hormonal – by melatonin levels decrease due to estrogen levels increasing and endocrine – mast-cells auto replication and degranulation stimulation. Based on the results of the study, the BMI increase as an observed control factor in the prediction of the professional risk can be recommended.