Lead Levels in Blood of Residents in Industrial Area

일부 공단지역 주민의 혈 중 납 농도에 관한 연구

  • Jou, Hye-Mee (Department of Environment Health Science, Soonchunhyang University) ;
  • Cho, Tae-Jin (Department of Environment Health Science, Soonchunhyang University) ;
  • Yang, Won-Ho (Department of Occupational Health, Catholic University of Daegu) ;
  • Lee, Jong-Wha (Department of Environment Health Science, Soonchunhyang University) ;
  • Son, Bu-Soon (Department of Environment Health Science, Soonchunhyang University)
  • 조혜미 (순천향대학교 환경보건학과) ;
  • 조태진 (순천향대학교 환경보건학과) ;
  • 양원호 (대구가토릭대학교 산업보건학과) ;
  • 이종화 (순천향대학교 환경보건학과) ;
  • 손부순 (순천향대학교 환경보건학과)
  • Published : 2009.04.30


This study analyzed the concentration of the lead in blood (n=774) from May, 2007 to Oct 2007. The subject was residents in G, Y, H industrial area, Jeollanam-do, in which exposure to the lead is expected due to the adjacency of the industrial complex. As to the lead concentration in the blood of the residents in the whole exposed region and the comparing region, $2.81{\mu}g/dl$ in the exposed region group, and $2.86{\mu}g/dl$ in the comparing region group Respectively, which indicates that the concentration of the comparing group was higher than that of the exposed group. The geometric mean concentration of lead in blood was $3.26{\mu}g/dl$ as to men, and $2.46{\mu}g/dl$ as to women, which indicates that the concentration of men is higher than that of women (p<0.01). The lead concentration for each age group increased in proportion to age except those under 10 for some substances (p<0.01). As to geometric mean concentration in blood according to the smoking history of the subject, the concentration of the smoking group and the non-smoking group was $3.57{\mu}g/dl$ and $2.66{\mu}g/dl$ respectively, which indicates the former is higher than the latter (p<0.01). To clarify the factors affecting the heavy metal concentration in blood among the subjects, the multiple regression analysis was conducted. As a result, it turned out that as to lead content in blood, gender, age, smoking all affect the lead concentration of the subjects ($R^2$=23.3%).


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