| Literature DB >> 22070906 |
Diana van Dongen1, Tjabe Smid, Daniëlle R M Timmermans.
Abstract
BACKGROUND: The amount of exposure to electromagnetic fields (EMF) at work is mainly determined by an individual's occupation and may differ from exposure at home. It is, however, unknown how different occupational groups perceive possible adverse health effects of EMF.Entities:
Mesh:
Year: 2011 PMID: 22070906 PMCID: PMC3248910 DOI: 10.1186/1476-069X-10-95
Source DB: PubMed Journal: Environ Health ISSN: 1476-069X Impact factor: 5.984
Group characteristics
| Working population (N = 567) | Security officers (N = 106) | MRI radiographer (N = 193) | |
|---|---|---|---|
| Gender (% male) | 58.2 | 52.8 | 23.3 |
| Age (m (sd)) | 42 (12.5) | 37 (10.9) | 40 (9.4) |
| Education level ° (%) | |||
| Low | 24.2 | 5.7 | 0 |
| Medium | 43.4 | 82.1 | 5.2 |
| High | 32.5 | 12.3 | 94.8 |
° Low: primary school, lower level of secondary school, or lower vocational training. Medium: higher level of secondary school, or intermediate vocational training. High: higher vocational training or university.
Means and standard deviations of risk perception and feelings towards EMF in general and different sources per group
| Risk perception (5-point scale: "very harmless"-"very dangerous") | Negative feeling (5-point scale: "no"-"very much") | Positive feeling (5-point scale: "no"-"very much") | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| ( | ||||||||||
| EMF in general | 3.03 (0.8) | 3.03 (0.7) | 2.7 (0.7) | 2.82,3 (1.0) | 2.33 (1.1) | 1.8 (0.9) | 3.22,3 (1.1) | 2.1 (0.9) | 2.82 (0.9) | |
| Domestic sources | Microwave oven | 2.33 (1.1) | 2.81,3 (1.1) | 2.1 (0.9) | 2.0 (1.0) | 2.31,3 (1.1) | 1.9 (0.9) | 3.5 (1.1) | 3.6 (1.1) | 3.7 (0.9) |
| Mobile phone | 2.63 (1.1) | 2.91,3 (1.2) | 2.3 (0.9) | 2.0 (1.0) | 2.31,3 (1.2) | 1.9 (0.9) | 3.8 (1.0) | 3.9 (1.0) | 3.9 (0.8) | |
| DECT | 2.33 (1.0) | 2.53 (1.1) | 2.1 (0.9) | 1.9 (1.0) | 2.11,3 (1.0) | 1.8 (0.9) | 3.6 (1.1) | 3.5 (1.1) | 3.81,2 (0.9) | |
| Occupational | MRI | 2.83 (1.1) | 2.93 (1.1) | 2.5 (0.9) | 2.3 (1.2) | 2.43 (1.2) | 2.1 (1.0) | 3.6 (1.2) | 3.4 (1.2) | 4.21,2 (0.9) |
| Metal detector | 2.33 (1.0) | 2.81,3 (1.1) | 2.0 (0.9) | 2.0 (1.0) | 2.51,3 (1.2) | 1.8 (0.9) | 3.1 (1.1) | 3.51 (1.1) | 3.3 (1.0) | |
| Environmental | Power lines | 3.0 (1.3) | 3.41,3 (1.2) | 2.8 (1.1) | 2.6 (1.3) | 2.91 (1.4) | 2.7 (1.3) | 3.0 (1.2) | 2.8 (1.1) | 3.1 (1.2) |
| GSM base station | 3.03 (1.2) | 3.23 (1.2) | 2.7 (1.0) | 2.4 (1.3) | 2.6 (1.3) | 2.4 (1.2) | 3.0 (1.1) | 3.0 (1.2) | 3.1 (1.1) | |
| UMTS base station | 3.13 (1.2) | 3.23 (1.2) | 2.8 (1.1) | 2.5 (1.3) | 2.7 (1.3) | 2.5 (1.2) | 2.9 (1.1) | 2.9 (1.2) | 3.0 (1.1) | |
1 p < .05, significantly higher (ANOVA) than the working population, 2 p < .05, significantly higher (ANOVA) than the security officers, 3 p < .05, significantly higher (ANOVA) than the MRI radiographers. With Bonferroni correction.
Correlations between risk perception and feelings of different EMF sources per occupational group.
| Negative feeling | Positive feeling | |||||
|---|---|---|---|---|---|---|
| Risk perception domestic | .65** | 64** | 71** | -.35** | -.18 | -.38** |
| Risk perception MRI | 57** | 55** | 61** | -.21** | -.26** | -.30** |
| Risk perception metal detector | 57** | .65** | 69** | -.24** | -.36** | -.32** |
| Risk perception environmental | 68** | 62** | 75** | -.36** | -.22* | -.47** |
**. Correlation is significant at the 0.01 level.
*. Correlation is significant at the 0.05 level.
Percentages and estimates of participants' health concerns per occupational group.
| Do EMF have health effects? (Number yes (%)) a | How many Dutch people have health effects? (% above median)a | What are the chances of getting health effects yourself? (mean (SD))° | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Disease | 3973 (70%) | 73 (70%) | 118 (61%) | 26.23 | 35.63 | 11 | 2.23 (0.8) | 2.71,3 (1.0) | 2.0 (1.0) |
| Physical complaints | 423 (75%) | 78 (74%) | 1611,2 (83%) | 30.33 | 29.5 | 20.5 | 2.3 (0.8) | 2.73 (1.0) | 2.2 (1.1) |
a Pearson chi-square test; ° 5-point scale from "not" to "very high"
Analyses of variances, 1 p < .05, significantly higher than working population, 2 p < .05, significantly higher than security officers, 3 p < .05, significantly higher than MRI radiographers