Elevated blood lead levels in infants and mothers in benin and potential sources of exposure

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Study Justification:
– Lead exposure in childhood is known to be associated with poor neurodevelopment.
– The study aimed to investigate the levels of lead in infants and mothers in Benin and identify potential sources of exposure.
– The study was conducted as part of a larger investigation on maternal anemia and offspring neurodevelopment.
Study Highlights:
– Blood lead levels (BLL) were analyzed in 225 mothers and 685 offspring aged 1 to 2 years old.
– High lead levels (BLL > 50 mg/L) were found in 44% of mothers and 58% of children.
– Maternal BLL was associated with offspring’s consumption of piped water and animals killed by ammunition.
– Children’s BLL was associated with presence of paint chips in the house and consumption of animals killed by ammunition.
– Children’s BLL was highly associated with maternal BLL on multivariate analyses.
– Environmental assessments and isotopic ratio measurements supported these findings.
– Offspring may be highly exposed to lead in utero and via breastfeeding in addition to lead paint exposure.
Recommendations for Lay Reader:
– Reduce lead exposure in children by addressing potential sources such as paint chips and animals killed by ammunition.
– Improve water quality to reduce lead exposure.
– Increase awareness about the risks of lead exposure and promote safe practices.
Recommendations for Policy Maker:
– Implement regulations and policies to reduce lead exposure in households, including the removal of lead-based paint and the control of ammunition use.
– Improve water infrastructure and quality to minimize lead contamination.
– Provide education and resources to healthcare providers and communities to raise awareness about lead exposure and its effects on neurodevelopment.
Key Role Players:
– Researchers and scientists
– Healthcare providers
– Government officials and policymakers
– Environmental experts
– Community leaders and organizations
Cost Items for Planning Recommendations:
– Lead paint removal and remediation
– Water infrastructure improvements
– Education and awareness campaigns
– Healthcare provider training and resources
– Environmental assessments and monitoring
– Research and data analysis

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is relatively strong, but there are some areas for improvement. The study sample size is large, with 225 mothers and 685 offspring included. The blood lead levels (BLL) were analyzed using inductively coupled plasma mass spectrometry, which is a reliable method. The association between maternal BLL and offspring’s consumption of piped water and animals killed by ammunition, as well as the association between children’s BLL and presence of paint chips in the house and consumption of animals killed by ammunition, provides further support for the findings. Environmental assessments and isotopic ratio measurements were also conducted to investigate exposure pathways. However, there are some limitations to consider. The investigation of elevated BLL was not initially planned, which may affect the study design and data collection. Additionally, the methods section contains successive steps, which may introduce bias or confounding factors. To improve the evidence, it would be beneficial to have a more detailed description of the study design, including the inclusion and exclusion criteria, as well as the randomization process. It would also be helpful to provide information on the statistical methods used for data analysis, including any adjustments for potential confounders. Overall, the evidence in the abstract is strong, but providing additional details and addressing the limitations would further enhance its strength.

Lead in childhood is well known to be associated with poor neurodevelopment. As part of a study on maternal anemia and offspring neurodevelopment, we analyzed blood lead level (BLL) with no prior knowledge of lead exposure in 225 mothers and 685 offspring 1 to 2 years old from Allada, a semi-rural area in Benin, sub-Saharan Africa, between May 2011 and May 2013. Blood samples were analyzed by inductively coupled plasma mass spectrometry. Environmental assessments in households and isotopic ratio measurements were performed for eight children with BLL > 100 mg/L. High lead levels (BLL > 50 mg/L) were found in 44% of mothers and 58% of children. The median BLL was 55.1 (interquartile range 39.2–85.0) and 46.6 (36.5–60.1) mg/L, respectively. Maternal BLL was associated with offspring’s consumption of piped water and animals killed by ammunition. Children’s BLL was associated with presence of paint chips in the house and consumption of animals killed by ammunition. In this population, with 98% of children still breastfed, children’s BLL was highly associated with maternal BLL on multivariate analyses. Environmental measures and isotopic ratios supported these findings. Offspring may be highly exposed to lead in utero and probably via breastfeeding in addition to lead paint exposure.

As the investigation of elevated BLL was not initially planned but due to incidental discovery, the methods section contains successive steps. Our study sample included singletons born to pregnant women enrolled in the “Malaria in Pregnancy Preventive Alternative Drugs” (MiPPAD) clinical trial ({“type”:”clinical-trial”,”attrs”:{“text”:”NCT00811421″,”term_id”:”NCT00811421″}}NCT00811421) comparing two intermittent preventive treatments of malaria in pregnancy [11]. The study was conducted in three health centers in the Allada district (Sekou, Allada and Attogon), South Benin. All surviving infants of recruited pregnant women were invited to undergo neurocognitive assessment in the TOVI study (Fon language: Tovi means child from the country) when the child was 12 months old [12]. From May 2011 to May 2013, blood samples were taken from 685 children 12 to 24 months old. Children with BLL > 250 µg/L were invited to be assessed for free a second time for BLL (9 of 14 reassessed). Mothers were not initially planned to be assessed for lead. After the first 50 BLL assessments, we decided to assess as many mothers as possible when offspring were 18 or 24 months through the TOLIMMUNPAL project, which resulted in 227 blood samples from mothers. Information on socioeconomic status and home environment were gathered during a home visit when the child was 12 months old. This questionnaire administered by a nurse or a psychologist included information on potential sources of lead including presence of paint and paint chips in the household, maternal and paternal occupation classified by risk of lead exposure [13], breastfeeding and sociodemographic characteristics. A family wealth scale involved a scoring instrument incorporating a checklist of material possessions (radio, television, bike, motorbike, and car), keeping cows, and access to electricity. Following the first results of BLL, we included a second questionnaire on potential sources of lead including sources of water for the child, pica behavior (ingestion of substances; here white and green clay) in children and in mothers during pregnancy, gasoline stored at the home, cooking and eating utensils [14], the child’s consumption of meat from animals killed by lead ammunition, maternal use of cosmetics, activities in the house or neighborhood, and number of hours the child played outside the house. This questionnaire was completed for 623 children: 53% when the child was > 12 months old because of the delay in implementing this second questionnaire (median 20.1 months, range 11.3–35.1). We collected 8 ml venous blood from each participant, 4 mL in a tube containing dipotassium EDTA and 4 mL in an iron-free dry tube. Blood samples were analyzed at the Centre de Toxicologie, Institut National de Santé Publique du Québec (Québec, Canada), by inductively coupled plasma mass spectrometry (ICP-MS; Perkin Elmer Sciex Elan DRC II ICP-MS instrument) before 20-fold dilution in amonia 0.5% v/v and 0.1% v/v surfactant Triton-X. The limit of detection for blood analysis was 0.2 µg/L. Furthermore, to investigate exposure pathways, we visited eight households for environmental and food assessments. Households were selected if the child’s BLL was > 100 µg/L (very high BLL) and a sufficient amount of blood was available to perform lead isotope ratio (LIR) measurements. The LIR is the ratio of abundance of lead with different atomic weight because of a different neutron number. LIR can provide information from lead contamination origins because the isotopic signature varies by the age of the original ore. The concentration of lead in soil, water, gasoline, dishes, food and paint, when present, was determined in each household. Ammunition for animal hunting was purchased from a local market. All samples were analyzed by ICP-MS (Agilent technologies 7500ce ICP-MS instrument) at a school of public health (EHESP, Rennes, France). For water, the limit of quantification (LOQ) was 1 µg/L. Before ICP-MS analysis, food, soil and gasoline were mineralized with a mixture of nitric and hydrochloric acid (1/3 HNO3 and 2/3 HCl) by microwave (Multiprep 41, Milestone) and dust by a graphite block digestion system (Digiprep, SCP Science). The LOQ was 0.1 mg/kg for food, 0.1 mg/kg for soil, 0.5 mg/L for gasoline and 2 µg/m2 for dust. Dishes were soaked in a solution of acetic acid (4%) for 24 h before analysis, and the LOQ was 2 µg/L. The LIR in children’s blood and possible sources of lead was determined by the concentration of lead in each source for a given child. The LIR was determined in the most concentrated sample of each exposure media by using quadrupole ICP-MS (Agilent technologies 7500ce ICP-MS instrument) with environmental samples at EHESP. The mass bias was corrected with a certified reference material (Common Lead Isotopic Standard, SRM 981, NIST) with the standard bracketing technique [15]. Lead stable isotope ratios in blood were established with low-resolution quadropole ICP-MS (Perkin Elmer NexION 300S instrument) after proper dilution to an obtained final lead concentration of 5 µg/L in a 0.5% (v/v) ammonia solution with 0.1% v/v surfactant Triton-X. Instrumental isotopic ratio responses were calibrated with certified reference materiel NIST SRM 981 and controlled with SRM NIST 982. Intercalibrated LIR was calculated by the two laboratories and involved two aqueous leaded samples. Each of the two laboratories used its own method for determining mass correction with the standard SRM 981 and correction of blanks. The results were comparable, except for LIR containing 204. Interpretation was based on the proximity of graphical isotopic ratios between blood and potential sources, accounting for measurement accuracy (a source was considered compatible with blood with recovery between the error bars of the source and blood) [16] and assessed on isotopic ratios 208/207 vs. 207/206. In statistical analyses, BLL was log-transformed for normal distribution (natural logarithm). We first described BLL in children and mothers, potential sources of lead, and sociodemographic characteristics of the study population. Second, we performed univariate analysis to assess the crude association between the potential sources of lead in both children and mothers, sociodemographic characteristics, and BLL. Third, we conducted multivariate analyses in three steps for children with logBLL and BLL >50 µg/L as dependent variables: model 1 included potential sources of lead identified on univariate analyses with p < 0.05; model 2 included socioeconomic factors in addition to sources of lead; model 3 included maternal BLL in addition to the former variables. The first two models were also used to analyze maternal BLL. Student t test and chi-square test were used to compare means and proportions, respectively. Multiple linear regression and logistic regression were used for continuous and binary outcomes, respectively. Statistical significance was defined as p < 0.05. Statistical analyses involved use of SAS 9.3. The study was approved by the institutional review boards of the University of Abomey-Calavi in Benin and New York University in the United States (IRB#09-1253). At recruitment, we obtained informed consent from all pregnant women and guardians of children who participated in this study.

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Based on the information provided, here are some potential innovations that could be used to improve access to maternal health:

1. Mobile Health (mHealth) Applications: Develop mobile applications that provide information and resources related to maternal health, including prenatal care, nutrition, and breastfeeding. These apps can be easily accessible to pregnant women and new mothers, providing them with valuable information and support.

2. Telemedicine: Implement telemedicine services that allow pregnant women in remote or underserved areas to consult with healthcare professionals remotely. This can help overcome geographical barriers and ensure that women receive timely and appropriate prenatal care.

3. Community Health Workers: Train and deploy community health workers who can provide education, support, and basic healthcare services to pregnant women and new mothers in their communities. These workers can help bridge the gap between healthcare facilities and the community, improving access to maternal health services.

4. Maternal Health Vouchers: Introduce voucher programs that provide pregnant women with financial assistance to access essential maternal health services, such as prenatal care, delivery, and postnatal care. These vouchers can help reduce financial barriers and ensure that women receive the care they need.

5. Mobile Clinics: Set up mobile clinics that travel to remote or underserved areas to provide maternal health services. These clinics can offer prenatal check-ups, vaccinations, and other essential services, bringing healthcare closer to women who may have limited access to healthcare facilities.

6. Health Education Campaigns: Launch targeted health education campaigns to raise awareness about the importance of maternal health and the available services. These campaigns can be conducted through various channels, such as radio, television, and community outreach programs, to reach a wide audience.

7. Maternity Waiting Homes: Establish maternity waiting homes near healthcare facilities for pregnant women who live far away. These homes provide a safe and comfortable place for women to stay during the final weeks of pregnancy, ensuring that they are close to the facility when it’s time to give birth.

8. Public-Private Partnerships: Foster collaborations between the public and private sectors to improve access to maternal health services. This can involve leveraging private sector resources and expertise to enhance the quality and availability of maternal healthcare.

9. Maternal Health Hotlines: Set up dedicated hotlines that pregnant women and new mothers can call to seek advice, ask questions, and receive support related to maternal health. Trained healthcare professionals can staff these hotlines and provide guidance and information.

10. Maternal Health Monitoring Systems: Develop systems that enable the monitoring of maternal health indicators, such as blood lead levels, to identify areas with high exposure and target interventions accordingly. These systems can help track progress and identify areas for improvement in maternal health outcomes.

It’s important to note that these recommendations are based on the information provided and may need to be tailored to the specific context and needs of the population in Benin.
AI Innovations Description
Based on the information provided, the recommendation to improve access to maternal health and address the issue of elevated blood lead levels in infants and mothers in Benin is to implement the following:

1. Increase awareness and education: Develop and implement educational programs targeting pregnant women and their families to raise awareness about the dangers of lead exposure and its impact on maternal and child health. This can include information on sources of lead exposure, such as contaminated water, paint chips, and animals killed by ammunition.

2. Improve prenatal care: Strengthen prenatal care services to include routine screening for lead exposure during pregnancy. This can be done by integrating lead testing into existing prenatal care visits and providing appropriate counseling and support for women found to have elevated blood lead levels.

3. Enhance environmental assessments: Conduct thorough environmental assessments in households to identify and mitigate potential sources of lead exposure. This can involve identifying and removing lead-based paint, improving water quality, and promoting safe practices for handling ammunition and other potential sources of lead contamination.

4. Promote breastfeeding support: Provide breastfeeding support and education to mothers, ensuring they have access to accurate information on the potential risks and benefits of breastfeeding when lead exposure is a concern. This can include guidance on minimizing lead transfer through breastfeeding and promoting alternative sources of safe nutrition when necessary.

5. Strengthen regulations and enforcement: Advocate for stricter regulations on lead content in consumer products, such as paint and toys, and enforce existing regulations to prevent lead exposure. This can involve working with government agencies, manufacturers, and community organizations to ensure compliance and promote the use of lead-free alternatives.

6. Collaborate with international partners: Seek collaboration with international organizations and partners to share best practices, resources, and expertise in addressing lead exposure and improving maternal health. This can include knowledge exchange, funding opportunities, and joint research initiatives to develop innovative solutions.

By implementing these recommendations, it is possible to improve access to maternal health and reduce the prevalence of elevated blood lead levels in infants and mothers in Benin. This will contribute to better neurodevelopment outcomes for children and overall maternal well-being.
AI Innovations Methodology
To improve access to maternal health, here are some potential recommendations:

1. Mobile health clinics: Implementing mobile health clinics that travel to remote areas can provide essential maternal health services to underserved populations. These clinics can offer prenatal care, postnatal care, vaccinations, and health education.

2. Telemedicine: Utilize telemedicine technology to connect pregnant women in rural areas with healthcare professionals. This can allow for remote consultations, monitoring of vital signs, and access to medical advice, reducing the need for travel and increasing access to care.

3. Community health workers: Train and deploy community health workers who can provide basic maternal health services, education, and support in their local communities. These workers can help identify high-risk pregnancies, provide prenatal and postnatal care, and refer women to higher-level healthcare facilities when necessary.

4. Health education programs: Develop and implement health education programs that focus on maternal health, including prenatal care, nutrition, breastfeeding, and family planning. These programs can be delivered through community workshops, radio broadcasts, and mobile phone applications.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Define the target population: Identify the specific population that will be impacted by the recommendations, such as pregnant women in a particular region or community.

2. Collect baseline data: Gather data on the current access to maternal health services in the target population, including the number of women receiving prenatal care, the distance to the nearest healthcare facility, and any existing barriers to access.

3. Define indicators: Determine the key indicators that will be used to measure the impact of the recommendations, such as the number of women receiving prenatal care, the reduction in maternal mortality rates, or the increase in the number of women accessing postnatal care.

4. Develop a simulation model: Create a simulation model that incorporates the baseline data and the potential impact of the recommendations. This model can simulate the number of women who would receive care through mobile health clinics, the number of telemedicine consultations, or the increase in the number of community health workers.

5. Run simulations: Use the simulation model to run different scenarios, varying the parameters of the recommendations, such as the number of mobile health clinics or the coverage of telemedicine services. This will allow for an assessment of the potential impact of each recommendation on improving access to maternal health.

6. Analyze results: Analyze the results of the simulations to determine the potential impact of the recommendations on access to maternal health. This can include quantifying the increase in the number of women receiving care, the reduction in travel distances, or the improvement in health outcomes.

7. Refine and iterate: Based on the results of the simulations, refine the recommendations and the simulation model as needed. Iterate the process to further optimize the impact of the recommendations on improving access to maternal health.

By following this methodology, policymakers and healthcare providers can assess the potential impact of different innovations and recommendations on improving access to maternal health and make informed decisions on implementation strategies.

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