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Risk Factors for Lead Toxicity and its Effect on Neurobehavior in Indian Children
L Malavika1, Taru Goyal1, Prasenjit Mitra2
1Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, India.
Insights
Lead toxicity is common in Indian children, with 50% exceeding safe blood lead levels (BLL). High BLL is linked to adverse neurobehavioral outcomes and lower serum biochemical parameters, highlighting environmental and lifestyle risk factors.
Area of Science:
- Environmental Health
- Pediatric Toxicology
- Neurobehavioral Science
Background:
- Lead (Pb) exposure poses significant health risks, particularly to children.
- Understanding lead toxicity prevalence and its impact on child development is crucial.
Purpose of the Study:
- To determine lead toxicity prevalence in Indian children (9-15 years).
- To assess biochemical parameters and neurobehavioral implications of lead exposure.
- To identify risk factors associated with elevated blood lead levels (BLL).
Main Methods:
- Cross-sectional study involving 70 children aged 9-15 years.
- Blood lead levels (BLL) measured using Graphite Furnace Atomic Absorption Spectrophotometry.
- Biochemical parameters analyzed, and neurobehavioral assessment using the Childhood Psychopathological Measurement Schedule (CPMS).
Main Results:
- Median BLL was 4.9 μg/dL, with 50% of children having BLL ≥ 5 μg/dL.
- High BLL group showed significantly lower serum alkaline phosphatase and phosphorous levels.
- Children with high BLL exhibited significantly higher adverse neurobehavioral scores compared to the low BLL group.
Conclusions:
- High prevalence of lead toxicity in Indian children necessitates public health interventions.
- Lifestyle factors like consuming roadside food and proximity to traffic are significant risk factors.
- Lead exposure is associated with adverse neurobehavioral outcomes and biochemical alterations in children.
Abstract:
Lead (Pb) is profoundly used heavy metal despite its known toxic effects. Children in particular are more susceptible to Pb toxicity. Thus, the present study was carried out to estimate the prevalence of lead toxicity in Indian children, to observe serum levels of biochemical parameters and to evaluate psychopathological implications of Pb toxicity using population specific scale-Childhood Psychopathological Measurement Schedule (CPMS) in children. Children between 9 and 15 years of age were included in the study (N = 70). Demographic details and information regarding the source of lead exposure were collected using a self-made questionnaire. All biochemical investigations were performed in Beckman Coulter Auto-analyser AU680 and Blood Lead Levels (BLL) were estimated by Graphite Furnace Atomic Absorption Spectrophotometer. The neurobehavioral state of the children was assessed by a population-specific scale i.e., CPMS, which evaluates for neurobehavior under 8 factors, titled, Low intelligence with behavioural problems, Conduct disorder, Anxiety, Depression, Psychotic symptoms, Special symptoms, Physical illness with emotional problems, and Somatization. The median BLL of the study population was 4.9 μg/dL. Habit of frequently consuming roadside food, proximity of residence to vehicular traffic and educational status of the mother were observed to be significant contributing factors for high BLL (≥ 5 μg/dL). Serum alkaline phosphatase (P = 0.02) and phosphorous levels (P = 0.04) were significantly lower in children belonging to high BLL group. A significantly high adverse neurobehavioral score was observed in high BLL group children compared to low BLL group (P < 0.05). There was high prevalence of Pb toxicity with 50% of children having BLL > 5 μg/dL. Further, certain lifestyle characteristics such as proximity of residence to vehicular traffic, frequent consumption of roadside food and lower educational status of the mother could be possible risk factors for higher Pb exposure in children. Evaluation of neurobehavior in children with high BLL revealed a high prevalence of adverse neurobehavior in them when compared to children in low BLL group.
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