Quantifying the global burden of lead exposure from dietary lead intake
Kinally, C.; Hu, H.; Fuller, R.
Show abstract
Background: Lead exposure is estimated to cause approximately 3.5 million premature deaths a year, yet the key ongoing sources of lead exposure are unclear. Methods: We estimated the contribution of dietary lead intake to global blood lead levels (BLLs) for 7-year-old children and 22-year-old adults by applying the All-Ages Lead Model (AALM) to calculate blood lead levels (BLLs) based on 25 total diet studies (TDS) that quantify dietary lead intake across 46 countries. Results: For children, the population-weighted average dietary lead intake in low- and middle-income countries (LMICs) (32.0 g/day) was found to be more than three times higher than in high-income countries (HICs) (9.3 g/day), and more than 10 times higher than the FDA reference level for children (2.2 g/day). The average impact on BLLs for children is estimated to be near 29 g/L in LMICs and near 12 g/L in HICs. Averaged across the TDS data, vegetables (27%) and cereals (24%) were found to contribute the most to dietary lead. Conclusions: While there are limitations associated with biokinetic modelling and the TDS data from LMICs, these results suggest that the contribution of dietary lead intake to global lead exposure is in the region of 40 to 50%, suggesting, in turn, that dietary lead intake is likely a major global driver of lead poisoning. Lead absorbed from the environment into food crops is expected to be the key driver of dietary lead. Current regulatory levels for maximum lead concentrations in foods (0.05-0.3 mg/kg) are out-of-date and may imply a dietary lead intake of 200 g/day, far higher than the FDA reference level (2.2 g/day). Collecting representative TDS data in high lead burden countries should be a priority. Further research is also recommended on upstream lead sources and pathways of lead uptake in plants, driving global food contamination.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Exposure contrasts of pregnant women during the Household Air Pollution Intervention Network randomized controlled trial 93%
- Monitoring drinking water quality in nationally representative household surveys: cross-sectional analysis of 20 Multiple Indicator Cluster Surveys 2014-2019 92%
- Environmental Mixtures Analysis (E-MIX) Workflow and Methods Repository 92%
Similar papers in this journal
- Prenatal Exposure of Pesticide Mixtures and the Placental Transcriptome: Insights from Trimester-specific, Sex-Specific and Metabolite-Scaled Analyses in the SAWASDEE Cohort 93%
- Brick kiln pollution and its impact on health: A systematic review and meta-analysis 93%
- Non-target Analysis of Wastewater Treatment Plant Effluents: Chemical Fingerprinting as a Monitoring Tool. 92%
Similar papers in this journal
- Exposure profiles in pregnant women from a birth cohort in a highly contaminated area of southern Italy 94%
- Carcinogenicity and testicular toxicity of 2-bromopropane in a 26-week inhalation study using the rasH2 mouse model 92%
- Short-term change in air pollution following the COVID-19 state of emergency: A national analysis for the United States 92%
Similar papers in this journal
- NeurotoxKb: compilation, curation and exploration of a knowledgebase of environmental neurotoxicants specific to mammals 94%
- ExHuMId: A curated resource and analysis of Exposome of Human Milk across India 93%
- Characterization of Per- and Polyfluoroalkyl Substance (PFAS) concentrations in a community-based sample of infants from Samoa 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.