Studientyp:
Epidemiologische Studie
(Beobachtungsstudie)
Childhood leukaemia and distance from power lines in California: a population-based case-control study
epidem.
[Kinderleukämie und Abstand zu Hochspannungsfreileitungen in Kalifornien: eine bevölkerungsbasierte Fall-Kontroll-Studie]
Von:
Crespi CM, Vergara XP, Hooper C, Oksuzyan S, Wu S, Cockburn M, Kheifets L
Veröffentlicht in: Br J Cancer 2016; 115 (1): 122-128
Ziel der Studie (lt. Autor)
Endpunkt/Art der Risikoabschätzung
Art der Abschätzung:
(Odds Ratio (OR))
Exposition
Abschätzung
- Messung: Bestimmung des Abstands anhand von Luftbildern von Google Earth; nur bei Kinderleukämie-Fällen: Messungen des genauen Abstands vor Ort
- Berechnung: Geokodierung des Abstands zwischen der Wohnadresse der Mutter zum Zeitpunkt der Geburt zur nächsten Hochspannungsfreileitung
Expositionsgruppen
Gruppe
|
Charakteristik
|
Gruppe 1
|
Abstand der Wohnadresse bei Geburt zur nächsten Hochspannungsfreileitung: 0 - 50 m
|
Gruppe 2
|
Abstand der Wohnadresse bei Geburt zur nächsten Hochspannungsfreileitung: 50 - 100 m
|
Gruppe 3
|
Abstand der Wohnadresse bei Geburt zur nächsten Hochspannungsfreileitung: 100 - 200 m
|
Gruppe 4
|
Abstand der Wohnadresse bei Geburt zur nächsten Hochspannungsfreileitung: 200 - 300 m
|
Gruppe 5
|
Abstand der Wohnadresse bei Geburt zur nächsten Hochspannungsfreileitung: 300 - 400 m
|
Gruppe 6
|
Abstand der Wohnadresse bei Geburt zur nächsten Hochspannungsfreileitung: 400 - 500 m
|
Gruppe 7
|
Abstand der Wohnadresse bei Geburt zur nächsten Hochspannungsfreileitung: 500 - 600 m
|
Referenzgruppe 8
|
Abstand der Wohnadresse bei Geburt zur nächsten Hochspannungsfreileitung: ≥ 600 m
|
Population
-
Gruppe:
-
Alter:
0–15 Jahre
-
Beobachtungszeitraum:
1986 - 2008
-
Studienort:
USA (Kalifornien)
Fallgruppe
Kontrollgruppe
-
Auswahl:
-
Matching:
- Geschlecht
- Alter
- Fall:Kontrolle = 1:1
-
Ausschlusskriterien:
Krebs-Diagnose
Studiengröße
|
Fälle |
Kontrollen |
Anzahl geeignet |
10.503 |
- |
Anzahl auswertbar |
9.096 |
9.096 |
Statistische Analysemethode:
- unkonditionale logistische Regression
(
Anpassung:
- Alter
- Geschlecht
- sozioökonomischer Status
- ethnische Herkunft
)
Ergebnisse (lt. Autor)
Studie gefördert durch
-
Electric Power Research Institute (EPRI), USA
-
National Cancer Institute (NCI; U.S. National Institutes of Health), Maryland, USA
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