- 영문명
- Concentration of PFOA and PFOS in Whole Blood and Factors Controlling Their Exposure Among Koreans
- 발행기관
- 한국환경보건학회
- 저자명
- 서춘희(Chunhui Suh) 이채관(Chae Kwan Lee) 이소룡(So-Ryong Lee) 박미희(Mi Hee Park) 이종태(Jong Tae Lee) 손병철(Byung Chul Son) 김정호(Jeong Ho Kim) 김건형(Kunhyung Kim)
- 간행물 정보
- 『한국환경보건학회지』제38권 제2호, 105~117쪽, 전체 13쪽
- 주제분류
- 공학 > 환경공학
- 파일형태
- 발행일자
- 2012.04.30
국문 초록
영문 초록
Objectives: This study aimed to assess the concentration of perfluorooctanoic acid (PFOA) and
perfluorooctanesulfonate (PFOS) in blood and factors controlling their exposure among Koreans.
Methods: Study subjects were selected to include 718 members of the general population residing in five
metropolitan cities and the Gangwon Province area from August 2008 to January 2009. A questionnaire was
administered to investigate lifestyle, socio-demographic characteristics, and other related factors. Blood samples
were collected and extracted using solid-phase extraction and anion-exchange methods, and quantified by highperformance liquid chromatograph (HPLC, Agilent 1200 Series) coupled with a Triple Quad LC-MS/MS system
(Agilent 6410).
Results: Geometric mean concentrations of PFOA and PFOS in the blood were measured as 1.82 and 6.06 ng/
ml, respectively. Mean PFOA and PFOS concentrations generally increased with age in both genders. Blood
PFOA concentration was significantly different according to such variables as age, family income, residential
district, and province. Blood PFOS concentration was significantly different by such variables as gender, age,
lifestyle factors such as regular exercise, alcohol consumption, and smoking status. Also, family income,
hazardous facilities, job classification, and province contributed significantly to differences in blood PFOS
concentration levels.
Conclusions: Blood PFOA and PFOS concentrations in Koreans were similar with those found in Japan, the
USA, and Germany, but less than those in Australia. PFOA and PFOS exposure seems to be affected by a variety
of factors in Korea. Therefore, investigation is required for each factor to assess the relative contribution of
different variables.
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