共 18 条
Ecological momentary assessment study of exposure to radiofrequency electromagnetic fields and non-specific physical symptoms with self-declared electrosensitives
被引:15
|作者:
Bolte, John F. B.
[1
,2
]
Clahsen, Sander
[1
,3
]
Vercruijsse, Wendy
[1
,6
]
Houtveen, Jan H.
[4
,7
]
Schipper, C. Maarten A.
[5
]
van Kamp, Irene
[1
]
Bogers, Rik
[1
]
机构:
[1] Natl Inst Publ Hlth & Environm RIVM, Ctr Sustainabil Environm & Hlth, POB 1, NL-3720 BA Bilthoven, Netherlands
[2] THUAS, Smart Sensor Syst Res Grp, Fac Technol Innovat & Soc, Rotterdamseweg 137, NL-2628 AL Delft, Netherlands
[3] Univ Utrecht, IRAS, Yalelaan 2, NL-3584 CM Utrecht, Netherlands
[4] Univ Med Ctr Groningen, Interdisciplinary Ctr Psychopathol & Emot Regulat, POB 30001, NL-9700 RB Groningen, Netherlands
[5] Natl Inst Publ Hlth & Environm RIVM, Dept Stat Informat & Math Modelling, POB 1, NL-3720 BA Bilthoven, Netherlands
[6] Rijkswaterstaat South Netherlands RWS ZN, POB 2232, NL-3500 GE Utrecht, Netherlands
[7] Altrecht Psychosomat Med Eikenboom, Voortgang 6, NL-3705 WD Zeist, Netherlands
关键词:
Epidemiology;
Personal exposure measurements;
Non-specific physical symptoms;
Radiofrequency electromagnetic fields;
RF EMF;
Longitudinal;
Ecological momentary assessment;
FREQUENCY MAGNETIC-FIELDS;
PERSONAL EXPOSURE;
REPORTED HYPERSENSITIVITY;
ILL HEALTH;
RF-EMF;
UNCERTAINTIES;
VARIABILITY;
POPULATION;
PREVALENCE;
D O I:
10.1016/j.envint.2019.104948
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
The main objective of the study is to determine if non-specific physical symptoms (NSPS) in people with self-declared sensitivity to radiofrequency electromagnetic fields (RF EMF) can be explained (across subjects) by exposure to RF EMF. Furthermore, we pioneered whether analysis at the individual level or at the group level may lead to different conclusions. By our knowledge, this is the first longitudinal study exploring the data at the individual level. A group of 57 participants was equipped with a measurement set for five consecutive days. The measurement set consisted of a body worn exposimeter measuring the radiofrequency electromagnetic field in twelve frequency bands used for communication, a GPS logger, and an electronic diary giving cues at random intervals within a two to three hour interval. At every cue, a questionnaire on the most important health complaint and nine NSPS had to be filled out. We analysed the (time-lagged) associations between RF-EMF exposure in the included frequency bands and the total number of NSPS and self-rated severity of the most important health complaint. The manifestation of NSPS was studied during two different time lags - 0-1 h, and 1-4 h - after exposure and for different exposure metrics of RF EMF. The exposure was characterised by exposure metrics describing the central tendency and the intermittency of the signal, i.e. the time-weighted average exposure, the time above an exposure level or the rate of change metric. At group level, there was no statistically significant and relevant (fixed effect) association between the measured personal exposure to RF EMF and NSPS. At individual level, after correction for multiple testing and confounding, we found significant within-person associations between WiFi (the self-declared most important source) exposure metrics and the total NSPS score and severity of the most important complaint in one participant. However, it cannot be ruled out that this association is explained by residual confounding due to imperfect control for location or activities. Therefore, the outcomes have to be regarded very prudently. The significant associations were found for the short and the long time lag, but not always concurrently, so both provide complementary information. We also conclude that analyses at the individual level can lead to different findings when compared to an analysis at group level.
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