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dc.contributor.authorHasan, Wirsal
dc.contributor.authorMatondang, Rahim
dc.contributor.authorSyahrin, Alvi
dc.contributor.authorWahyuni, Chatarina Umbul
dc.contributor.authorAshar, Taufik
dc.date.accessioned2019-08-28T08:07:54Z
dc.date.available2019-08-28T08:07:54Z
dc.date.issued2016
dc.identifier.otherNurhusnah Siregar
dc.identifier.urihttp://repository.usu.ac.id/handle/123456789/70358
dc.descriptionTaufik Asharid
dc.description.abstractLead can insert into the body through the human digestive tract with food and drinks as well as through the respiratory tract into the lungs and blood vessels. Paddle rickshaw puller, motorized rickshaw pullers, traffic control officers, hawkers and street vendors located in major cities in Indonesia are the most exposed workers to lead from the airpollution produced by motor vehicles. Lead pollution which they faceover the years working in the roadside is a serious threat to their health permanently. This is a descriptive analytic study by examining the characteristics of roadside workers for lead poisoning and analyze the characteristics of the respondent’s relationship with blood lead levels. The sample in this study is the paddle rickshaw puller, motorized rickshaw pullers and street vendors located alongside a road. The results with the Man Whitney tests howed that there are differences in the mean blood lead levels were significantly according to gender (p =0.047) and smoking habits (p =0.03), but there is no difference in mean blood lead levels based on the type of work, long of work, education level, place of rest, location of residence, drinking milk, and alcohol drinking habits. The analysis using Pearson correlation test and Spearman correlation found no significant correlation between the variables age, systolic blood pressure and diastolic blood pressure on blood lead levels (p>0,05). The final resul sobtained by multivariate modelling of independent variables that have a significant effect on the levels of lead in the blood is the diastolicb loodpressure and sex. R2 value (coefficient of determination) final model is 0:12, it was concluded that the diastolic blood pressure variables and sex were able to predict blood lead levels by 12%, while the rest (100% -12%) 88% is explained by other factors that not examined.id
dc.language.isoenid
dc.publisherUniversitas Sumatera Utaraid
dc.subjectAgeid
dc.subjectBlood Pressureid
dc.subjectType of Workid
dc.subjectLong of Workid
dc.subjectEducation Levelid
dc.subjectPlace of Restid
dc.subjectSmoking Habitsid
dc.subjectBlood Lead Levelid
dc.titleRelationship of Roadside Worker’s Characteristic with Blood Lead Levelid
dc.typeLecture Papersid


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