Study type:
Epidemiological study
(observational study)
Cohort study on the effects of everyday life radio frequency electromagnetic field exposure on non-specific symptoms and tinnitus
epidem.
By:
Frei P, Mohler E, Braun-Fahrländer C, Fröhlich J, Neubauer G, Röösli M, QUALIFEX-team
Published in: Environ Int 2012; 38 (1): 29-36
Aim of study (acc. to author)
Further details
Endpoint/type of risk estimation
Exposure
Assessment
Exposure groups
Group
|
Description
|
Reference group 1
|
far-field total personal exposure: < 50th percentile
|
Group 2
|
far-field total personal exposure: 50th - 90th percentile
|
Group 3
|
far-field total personal exposure: > 90th percentile
|
Reference group 4
|
far-field exposure to fixed-site transmitters: < 50th percentile
|
Group 5
|
far-field exposure to fixed-site transmitters: 50th - 90th percentile
|
Group 6
|
far-field exposure to fixed-site transmitters: > 90th percentile
|
Reference group 7
|
near-field exposure: mobile phone use based on operator data: < 50th percentile
|
Group 8
|
near-field exposure: mobile phone use based on operator data: 50th - 90th percentile
|
Group 9
|
near-field exposure: mobile phone use based on operator data: > 90th percentile
|
Reference group 10
|
near-field exposure: self-reported use of mobile phones: < 50th percentile
|
Group 11
|
near-field exposure: self-reported use of mobile phones: 50th - 90th percentile
|
Group 12
|
near-field exposure: self-reported use of mobile phones: > 90th percentile
|
Reference group 13
|
self-estimated exposure: < 50th percentile
|
Group 14
|
self-estimated exposure: 50th - 90th percentile
|
Group 15
|
self-estimated exposure: > 90th percentile
|
Population
-
Group:
-
Age:
30–60 years
-
Characteristics:
Swiss residents or people living in Switzerland for at least 5 years
-
Observation period:
2008, follow-up in 2009
-
Study location:
Switzerland (region of Basel)
-
Data source:
QUALIFEX study
Study size
Type |
Value |
Total |
4,000 |
Eligible |
3,763 |
Participants |
1,375 |
Participation rate |
37 % |
Evaluable |
1,124 |
Statistical analysis method:
- linear regression
- logistic regression
- change analysis between baseline and follow-up
(
adjustment:
- age
- sex
- residential area
- education
- BMI, physical activity, smoking, alcohol consumption, marital status, nightshift work, use of sleeping drugs, general attitude towards the environment
)
Results (acc. to author)
Study funded by
-
Swiss National Science Foundation (SNF)
Comments on this article
-
Kundi M
(2012):
Failure to detect a link between mobile phone use and brain tumours in a large Danish cohort study: but findings may be due to bias
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