Association Between Blood Lead Concentration and Computerized Neurobehavioral Performance in Korean Elementary School Students

Author(s):  
Yeon-Cheol Kim ◽  
Man-Joong Jeon ◽  
Yun-Chul Hong ◽  
Chul-Gab Lee ◽  
Mi-Na Ha ◽  
...  
Epidemiology ◽  
2011 ◽  
Vol 22 ◽  
pp. S278-S279 ◽  
Author(s):  
Joon Sakong ◽  
Ho-Jang Kwon ◽  
Mina Ha ◽  
Yun-Chul Hong ◽  
Chul-Gab Lee ◽  
...  

Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1826 ◽  
Author(s):  
Dave DeSimone ◽  
Donya Sharafoddinzadeh ◽  
Maryam Salehi

Lead (Pb) exposure can delay children’s mental development and cause behavioral disorders and IQ deficits. With children spending a significant portion of their time at schools, it is critical to investigate the lead concentration in schools’ drinking water to prevent children’s exposure. The objectives of this work were to predict students’ geometric mean (GM) blood lead levels (BLLs), the fractions of at-risk students (those with BLLs > 5 μg/dL), and the total number of at-risk students in one Tennessee school district. School drinking water lead concentration data collected in 2019 were input into the Integrated Exposure Uptake Biokinetic (IEUBK) model and the Bowers’ model to predict BLLs for elementary school students and secondary school students, respectively. Sensitivity analyses were conducted for both models. Drinking water concentrations were qualitatively compared with data collected in 2017. Two scenarios were evaluated for each model to provide upper and median estimates. The weighted GM BLL upper and median estimates for elementary school students were 2.35 μg/dL and 0.99 μg/dL, respectively. This equated to an upper estimate of 1300 elementary school students (5.8%) and a median estimate of 140 elementary school students (0.6%) being at risk of elevated BLLs. Similarly, the weighted GM BLL upper and median estimates for secondary school students were 2.99 μg/dL and 1.53 μg/dL, respectively, and equated to an upper estimate of 6900 secondary school students (13.6%) and a median estimate of 300 secondary school students (0.6%) being at risk of elevated BLLs. Drinking water remediation efforts are recommended for schools exhibiting water lead concentrations greater than 15 μg/L. Site-specific soil lead concentration data are recommended since the IEUBK was deemed sensitive to soil lead concentrations. For this reason, soil lead remediation may have a greater impact on lowering children’s BLLs than drinking water lead remediation. Remediation efforts are especially vital at elementary schools to reduce the population’s baseline BLL and thus the BLL projected by Bowers’ model.


EDUKASI ◽  
2016 ◽  
Vol 14 (2) ◽  
Author(s):  
Hery Suharna ◽  
Agung Lukito Nusantara ◽  
I Ketut Budayasa

The research reveals a profile of reflective thinking of elementary school students in problem solving fractions based on his mathematical abilities. The instruments used in data collection is Test Problem Solving (TPM), interview. Selection of research subjects in a way given test is based on the ability of mathematics, namely mathematical skills of high, medium and low and further categorized and taken at least 2 people to serve as subjects. The research objective is: describe the profile of reflective thinking that math skills of elementary school students High, medium, and low. Based on the results of the study found reflective thinking profile and high ability students were as follows: (a) the step to understand the problems students have information/knowledge or data that is used to respond, comes from inside (internal) and can explain what has been done; (B) the planned step problem solving students have information/knowledge or data that is used to respond, comes from inside (internal) and can explain what has been done; (C) on measures to implement the plan in terms of information/knowledge or data used by students to respond, comes from inside (internal), could explain what has been done, realized the error and fix it, and communicate ideas with a symbol or image, and (d) the checking step back, namely information/knowledge or data that is used by students to respond, comes from inside (internal) and can explain what has been done. Profile of reflective thinking ability students lowly mathematics, namely: (a) at the stage of understanding the problem, students can determine known and asked in the problem, but the students' difficulties to explain the identification of the facts that have been done, the students explained the understanding vocabulary, and feel of existing data the matter is enough; (B) at the stage of implementing the plan, the students explained, organize and represent data on the issue, describes how to select the operation in solving a problem though students are not sure, and students' difficulty in explaining what he had done; (C) at the stage of implementing the plan, the student has information on calculation skills although the answer is not correct. Students difficulty in explaining about the skills calculations have been done, trying to communicate their ideas in the form of symbols or images, even if students rather difficult to describe, and realized there was an error when using a calculation skills and improve it; (D) at the stage of check, students' difficulties in explaining whether obtained estimates it approached, it makes senseKeywords: reflective thinking, problem solving, fractions, and math skills.


Sign in / Sign up

Export Citation Format

Share Document