Literature DB >> 31168332

Relationship between the use of electronic devices and susceptibility to multiple sclerosis.

Fatemeh Khaki-Khatibi1,2, Alireza Nourazarian2, Fatemeh Ahmadi3, Mehdi Farhoudi4, Daryoush Savadi-Oskouei4, Mahya Pourostadi5, Mohammad Asgharzadeh3,6.   

Abstract

Multiple sclerosis (MS) is an autoimmune condition influenced by both genetic and environmental factors. Dirty electricity generated by electronic equipment is one of the environmental factors that may directly or indirectly impact MS susceptibility. The current Study aimed to evaluate the relationship between the usage time of electronic equipment and susceptibility to MS in North-West Iranian people. This approach was carried out upon 471 MS-diagnosed patients and 453 healthy participants as control group in East Province of Azerbaijan. By utilizing structured questionnaires, the information of all participants about usage status of some electronic devices was obtained. Data were analyzed by IBM SPSS Statistics version 18.0 and the quantitative variables were analyzed by Chi Square and Independent sample t tests. P values below or equal to 0.05 were considered as significant. Among the evaluated items in this approach, the utilization of cell phones and satellite television dishes were significantly higher in MS patients (p < 0.001, p = 0.07). Furthermore, a correlation was observed between sleeping with cell phone and/or laptop under the pillow (p = 0.011) and MS disease; however, there was no significant differences between MS patients and controls in computer using and television watching. Our study reinforces the concept that the utilization of some electronic devices and the continuous exposure to dirty electricity would increase the risk of MS disease thereupon by enhancing the cognizance of adverse effects of dirty electricity and reducing the time spent over electronic devices during adolescence and adulthood the occurrence probability of MS could be declined.

Entities:  

Keywords:  Electronic instrumentation; Multiple sclerosis; Neurodegenerative disease

Year:  2019        PMID: 31168332      PMCID: PMC6520423          DOI: 10.1007/s11571-019-09524-1

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN: 1871-4080            Impact factor:   5.082


  35 in total

1.  Effects of electromagnetic field emitted by cellular phones on the EEG during a memory task.

Authors:  C M Krause; L Sillanmäki; M Koivisto; A Häggqvist; C Saarela; A Revonsuo; M Laine; H Hämäläinen
Journal:  Neuroreport       Date:  2000-03-20       Impact factor: 1.837

2.  Effects of electromagnetic field emitted by cellular phones on the EEG during an auditory memory task: a double blind replication study.

Authors:  Christina M Krause; Christian Haarala; Lauri Sillanmäki; Mika Koivisto; Katarina Alanko; Antti Revonsuo; Matti Laine; Heikki Hämäläinen
Journal:  Bioelectromagnetics       Date:  2004-01       Impact factor: 2.010

3.  Influence of electromagnetic fields and protective effect of CAPE on bone mineral density in rats.

Authors:  Mustafa Yildiz; Ekrem Cicek; Sevim Sureyya Cerci; Celal Cerci; Baha Oral; Ahmet Koyu
Journal:  Arch Med Res       Date:  2006-10       Impact factor: 2.235

4.  The biologic effects of grounding the human body during sleep as measured by cortisol levels and subjective reporting of sleep, pain, and stress.

Authors:  Maurice Ghaly; Dale Teplitz
Journal:  J Altern Complement Med       Date:  2004-10       Impact factor: 2.579

5.  Mobile phone affects cerebral blood flow in humans.

Authors:  Sargo Aalto; Christian Haarala; Anna Brück; Hannu Sipilä; Heikki Hämäläinen; Juha O Rinne
Journal:  J Cereb Blood Flow Metab       Date:  2006-02-22       Impact factor: 6.200

Review 6.  Electromagnetic hypersensitivity: biological effects of dirty electricity with emphasis on diabetes and multiple sclerosis.

Authors:  Magda Havas
Journal:  Electromagn Biol Med       Date:  2006       Impact factor: 2.882

7.  Allergic sensitization and microbial load--a comparison between Finland and Russian Karelia.

Authors:  T Seiskari; A Kondrashova; H Viskari; M Kaila; A-M Haapala; J Aittoniemi; M Virta; M Hurme; R Uibo; M Knip; H Hyöty
Journal:  Clin Exp Immunol       Date:  2007-04       Impact factor: 4.330

8.  Effects of education level and employment status on HRQoL in early relapsing-remitting multiple sclerosis.

Authors:  F Patti; C Pozzilli; E Montanari; A Pappalardo; L Piazza; A Levi; E Onesti; I Pesci
Journal:  Mult Scler       Date:  2007-02-16       Impact factor: 6.312

Review 9.  Asthma and allergies in rural areas of Europe.

Authors:  Erika von Mutius
Journal:  Proc Am Thorac Soc       Date:  2007-07

10.  Magnetic-field-induced DNA strand breaks in brain cells of the rat.

Authors:  Henry Lai; Narendra P Singh
Journal:  Environ Health Perspect       Date:  2004-05       Impact factor: 9.031

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  1 in total

1.  Detecting prostate cancer using deep learning convolution neural network with transfer learning approach.

Authors:  Adeel Ahmed Abbasi; Lal Hussain; Imtiaz Ahmed Awan; Imran Abbasi; Abdul Majid; Malik Sajjad Ahmed Nadeem; Quratul-Ain Chaudhary
Journal:  Cogn Neurodyn       Date:  2020-04-11       Impact factor: 5.082

  1 in total

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