Lead Exposure and Intellectual Function: Findings from Primary School Children in Bangladesh
Bibliographic record
Abstract
Backgrounds: About 120 million people around the world are overexposed to lead which is neurotoxic and 99 percent of the most severely affected children are in the developing world including Bangladesh. Methods and Materials: The present cross-sectional ecological study was carried out to explore the impact of lead poisoning on the intelligence level among 84 primary school children of a school of Bangladesh, aged between 8 and 14 years from September 2010 through January 2011. The research instrument was an interviewer questionnaire, questionnaire for IQ test and assessment of blood lead level (inductively-coupled plasma mass spectrometry with collision/reaction cells) of the study subjects after obtaining permission from their parents and the school authority. Results: Data were cross-checked and frequency distribution and association using chi-square test was accomplished. Background information depicted majority (69.1%) of the children aged10-11 years (mean = 10.25 ±1.177 yrs), female (51.2%), parents having primary level of education or below (73.8% in case of father and 77.4% in mother) and from lower socioeconomics (78.6% earned BDT 10,000 or below per month). Among all, majority (56%) were found to be moron, 27.4% in borderline, while 8.3% were imbecile with the same proportion with normal level. By their blood lead level. Majority (70.2%) had blood lead level up to 10 microgram/dl and the rest (29.8%) had more than 10 microgram/dl. Though no statistically significant association was found between IQ level of the children and their blood lead level (p>0.05), the health problems found among the respondents as abdominal pain (53.57%), impatience (14.29%), nausea (10.71%) and all other problems (loss of concentration to study, ear problem, anorexia and loss of weight) amounting for 21.43% are suggestive of chronic lead poisoning. Conclusion:Further studies in large scale with larger samples including comparative studies of inter-industrial areas have been strongly recommended. DOI: http://dx.doi.org/10.3329/bjms.v11i4.12599 Bangladesh Journal of Medical Science Vol. 11 No. 04 Oct12
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".