Preprint
Article

This version is not peer-reviewed.

Fighting Lead Poisoning: Effective Conditions for Home-Based Education, Housing Remediation and Relocation

A peer-reviewed article of this preprint also exists.

Submitted:

17 June 2025

Posted:

18 June 2025

You are already at the latest version

Abstract
Background - Against childhood lead poisoning, removing the lead exposure is the main measure. But how to do it effectively has not been fully established. Our objective was to determine the impact of several interventions (education, housing rehabilitation and relocation) on children blood lead levels. Methods - A historical cohort of childhood lead poisoning was drawn in Marseille, France in 2011 to 2018. A generalized mixed model was developed to study the kinetics of blood lead levels. Results – We included 151 children; 56 % living in legal substandard housing, others living in slums. Medical follow-up (median: 612 days) included 492 blood samples. In legal substandard housing, blood lead level decrease was significantly associated with every interventions. In slums, blood lead level decrease was significantly associated with housing relocation, and education although to a lesser extent. Conclusions - Every interventions contributed in reducing blood lead levels in substandard housing. Educational intervention is rapidly implemented. Housing remediation follows a long-lasting but effective legal procedure. Some families get housing relocation, depending on their financial resources or whether they are eligible for social housing. In slums, access to legal housing is the most effective, although education has a wider impact on health literacy.
Keywords: 
;  ;  ;  ;  ;  

1. Introduction

The burden lead poisoning in 2002 in Europe amount to at least 1,053,000 disability adjusted life years per year, mostly secondary to housing-based exposures[1]. In France, 417 new cases were diagnosed in 2020 (but probably under-diagnosed during the Covid-19 pandemic[2]). Childhood lead poisoning is defined as a lead blood level greater than 50 µg/l[3]. Lead paint has been banned for professional use since 1949, but it was authorized for sale until 1993 and persists in the environment. Vulnerable populations, remain particularly at risk when living in old, substandard housing[4] or slums[5].
The protocol for managing childhood lead poisoning recommends medical follow-up to detect complications and surrounding cases, and to monitor the decrease of blood lead level. Environmental investigation and intervention to control the sources of lead release[6], and an educational intervention to adopt healthy habits[7] are also required.. The legal procedure governing environmental intervention calls for housing remediation work to be carried out when there is a source of lead exposure in the housing. Such remediation work is undertaken at owner’s charge, and must be carried out taking specific precautions to avoid over-exposing residents[8]. Some families change housing on their own, but the legal procedure doesn’t provide for specific access to social housing. This procedure is lengthy to put in place.
Advice on changing for healthy habits can be given quickly to start reducing lead exposure as much as possible[7].
Several studies have highlighted the impact of home-based educational intervention against housing-related environmental hazards. Shani has shown in the USA their effectiveness in childhood asthma[9]. In France, De Blay has shown that they improve compliance in controlling adult exposure to mite allergens [10]. Montaudié-Dumas has shown that they improve compliance in controlling children's exposure to mite allergens and molds[11] (unfortunately, the effectiveness was insufficient to reduce exposure to tobacco smoke).
A systematic review of the literature questioned the effectiveness of educational and environmental interventions to control at-home lead exposure. It was initiated in 2008 and updated several times until 2020[12,13]. . The authors found educational intervention not effective in reducing blood lead levels and insufficient evidence to clarify whether environmental intervention reduce blood lead levels.
Only randomized controlled trials (RCT) and quasi-RCT were analyzed. This restriction guaranteed a high level of scientific evidence. Unfortunately, in conditions where the fight against lead poisoning is already the subject of public policy[14], ethical and legal limitations reduce the power of RCTs to show persuasive results. The studies analyzed covered different interventions dating back to 1980. Impact outcomes methods also varied widely: blood lead level after intervention (continuously measured or exceeding different thresholds: 100 or 150 µg/l after 6 to 18 months), dust lead contamination (in household floor, household window). It wasn’t clear whether sources of lead exposure were of the same kind, especially when processing soil abatement (rather appropriate for industrial pollution in brownfield sites). Lead risks in North America and Australia (regions of the studies reviewed) may also be different from Europe, limiting the scope of these results.
To our knowledge there is no study investigating the impact of home-based educational intervention against lead poisoning in Europe. The aim of this study was to compare the effectiveness of different measures for controlling lead exposure in patients with childhood lead poisoning in France, by analyzing the decline in blood lead levels.

2. Materials and Methods

This study adopted a monocentric historical observational cohort methodology, conducted in a specialized center, the Consultation Enfant-Environnement in Marseille, France, between November 2011 and December 2016. Patient management followed the 2006 national recommendations, and no changes were made to standard care. [15].
Patients included had to be under 18 years of age, have an initial blood lead level of over 50 µg/l, live in the Bouches-du-Rhône area, have had a follow-up blood lead level (at least one subsequent control) and the result of an environmental investigation.
Data collected included: age, sex, type of housing (legal or slum), pica-geophagy behavior, parental at risk occupation, surrounding cases, associated substandard housing criteria (according to the criteria of the January 2002 French decree[16]: lack of solidity, too small surface area, lack of ventilation or natural lighting, sealing problems, other hazards : electrical, mechanical, pests and mold…), and sources of lead exposure.
An environmental investigation was conducted for each childhood lead poisoning case[6]. The type of housing was classified as legal for children living legally in a housing (renting or owning). Illegal substandard housing was classified as slum when it met UN-Habitat's 2003 criteria[17] (including lack of access to water or sanitation, illegal occupation and risk of eviction, poor housing quality, and overcrowding). There was no sub-classification according to the various disorders. This would have greatly reduced the power and would have been a source of classification bias. These families shared a common insecurity and instability in their living conditions (often changing location, often risking having to do so at any time, and not always revealing each living place they use to healthcare providers).
Parental occupation was considered at risk, according to a published list[18].
Exposure data were collected from environmental survey results (paint, elemental lead, smokes and dusts, or water risk)[6].
Three types of intervention were analyzed:
Home-based educational intervention aimed to promote the adoption of habits to be applied on a daily basis, by a trained professional delivering advices taught by one of the French diplomas[19]),and was delivered according to the recommendations of the French Ministry of Health[18]: potential sources of lead were identified in the children’s environment; prevention advice was adapted to the sources (including old paint, tap water, industrial hazards and other sources) for children and adults (especially pregnant women); dietary advice were given; and actions and precautions to be taken by the family directly on the sources of exposure were detailed.
Housing remediation work aimed at eliminating all sources of lead in the environment (by evacuating) or making them out of reach (by sealing and covering).
Housing relocation was considered with regard to the risk of lead exposure, regardless of whether this was by family’s own means or with social assistance. We considered that patients arriving in France for the first time and whose environmental investigation did not identify any source of lead exposure had a housing relocation on the date of arrival in France. Thus, housing relocation included children and their family moving from a legal housing to another, from abroad to a legal housing, or from a slum to a legal housing. Changes of slum site were not taken into account (cf. supra).
Biological and clinical follow-up was ideally carried out every three months, until a blood lead level of less than 50 µg/l was achieved. To ensure continuous monitoring of siblings, even follow-up blood lead levels below 50 µg/l were included in the analysis for families with several children.
Patients who had not been seen for three months were regularly contacted by phone. Patients were excluded if the date of intervention was unknown.
The primary outcome was the blood lead levels according to the type of intervention in a multivariate model taking into account time interaction and other confounding factors.
Patients were informed of the use of their personal and medical data for research purposes and their right to refuse.
Patients’ characteristics were compared between type of housing (legal housing vs slum) using t-test for continuous variables and by chi2 or Fisher's exact test for categorical variables with SPSS 20 software, IBM SPSS Statistics. Lead kinetics were analyzed by type of housing using multivariate modeling using SAS Institute software. Blood lead levels were log-transformed. The model selected had a random intercept and slope for the time effect (repeated blood lead levels), and included fixed effects: age at inclusion, associated housing substandard criteria, type of intervention, time, time*intervention interaction. Model coefficients were calculated with standard errors. The means estimated by the model were calculated with standard errors and compared with the mean blood lead level before any intervention, with p-values given by Tukey's adjustment.

3. Results

One hundred and sixty five patients were included. Among them, 14 were excluded from the analysis in accordance with the criteria (unknown date of intervention). In all, 492 blood lead levels from 151 lead poisoned patients were studied (Figure 1).

3.1. Initial Situation

The initial situation of lead-poisoned children is described according to their type of housing (Table 1). The sex ratio (1.60) and mean age 5.3 years (SD : 1.9) were comparable between groups. Children aged under 7 had significantly higher initial blood lead levels 155.8 μg/l (SD : 35.0) than those aged 7 and over 105.8μg/l (SD : 17.5) (p < 0.005).
Children living in legal housing were mainly exposed to decayed paints and showed pica-like behavior. Very few cases of intoxication due to lead pipes (water contamination) were identified (only 2 patients from the same family). Children with pica and geophagy behavior were exclusively in legal housing.
Children living in slums had significantly higher blood lead levels (+ 27.5 μg/l; 95 % confidence interval [5.7; 49.2]). The main sources of lead exposure were smokes and dusts associated with parents' occupations (burning and recycling generally in or close to the housing). Cases were grouped together and living conditions were unhealthy (several families sharing the slum).

3.2. Follow-Up

Mean patient follow-up was 612 days (SD: 450). Patients were reviewed on average every 184 days (SD: 152). At the time of analysis, 84 (55.6%) of the children still had blood lead levels below 50 μg/l.
The median time for intervention (after the first blood lead above 50 µg/l) was 27 days (Interquartile = [0; 83]) ; 368 days (Interquartile = [267; 434] and 275 days (Interquartile = [219; 472]), for education, housing remediation and housing relocation respectively. The mean decrease in blood lead level in the interval from 3 to 5 months after an intervention was measured for 45 children. This decrease was -39.7 µg/l (sd: 57.7); -109.0 µg/l (sd: 74.2) and -54.0 µg/l (sd: 28.6), after education intervention, housing remediation and housing relocation respectively (p = 0.06). In order to take into account all follow-up data on children's blood lead levels, two different multivariate models were constructed independently of each other, given the significant differences between children in legal housing and in slums (Table 2). In both models, the youngest children had higher blood lead levels.
In legal housing conditions, associated housing substandard criteria were associated with higher blood lead levels. Each intervention (home-based educational, housing remediation, housing relocation) led to significant reduction in blood lead levels over time.
In slums, housing relocation, was effective to significantly reduce blood lead levels. Home-based educational intervention was also significantly effective but with a smaller decrease enhanced. There was no remediation work in this group; procedural remediation was restricted to legal housing.

4. Discussion

Results showed a significant decrease of lead blood level in legal housing after every intervention: home-based education, housing rehabilitation and relocation. In slums, housing relocation was the most effective intervention in decreasing lead blood levels, followed by education. The main sources of lead exposure were different between legal housing (decayed paint) and slums (smoke and dusts).
This study provides important real-world evidence in fighting childhood lead poisoning. Home-based educational intervention in legal housing aimed to control dust emissions from primary domestic sources of lead exposure. No sources were identified in the neighborhood. This educational intervention showed a significant impact, as in other studies about of home-based educational intervention against housing-related environmental hazards (to reduce exposure to : mite allergen, humidity, mold, volatile organic compounds and outdoor triggers for asthma) [9,10,11].
Educational intervention used a single at-home home individual interview. In other studies, educational intervention had often repeated sessions[20], as long as some used only multimedia[21].
Measuring the effectiveness of educational intervention requires taking into account the health literacy level, as did Shen[21] and other community-based interventions. This may explain the limited effectiveness of our educational intervention in slum. These families are facing multiple social and environmental vulnerabilities. They make priority choices more dictated by survival needs, but also by their difficulties in accessing basic public services, including healthcare system[22,23].
Environmental intervention in legal housing were considered to be aimed at changing the environment so that controlling exposure to lead sources did not depend on changing the family daily lifestyle habits (considered as an educational topic). As shown by Dixon, window replacement was effective in controlling lead paint hazard[24].
Our study showed another scale of « cocktail effect »[25] in environmental hazard. Here in substandard housing, there was potentiation in lead exposure by other environmental multiple hazard (as defined by the criteria of the January 2002 French decree[16]). The impact of these other environmental multiple hazard failed to be depicted in slums.
Our results are different from the literature review by Nussbaumer-Streit [13]. But among the reviewed studies, some interventions included primary prevention[26,27] (which requires larger sample size). High-Efficiency Particulate Air (HEPA) vacuuming [28] and assistance in cleaning [29] were classified as environmental intervention. We rather consider them as incentive in educational intervention (for quicker change to adopt healthy habits)[30]. Furthermore, another cleaning supply distribution was classified as educational intervention[31].
In this review, targeted sources of lead exposure were wide-ranging, including some restricted to the housing and others in the neighborhood. Thus, soil abatement in Farrell's study wasn’t expected be fully effective when the main source of lead exposure was decayed paints ; polluted soil being only a secondary co-factor of dust emission[32].
This literature review highlights how RCTs has limited power in studying intervention against lead poisoning. Indeed RCTs are mostly designed to document the efficacy of new products or action, with very restricted and controlled dissemination, and by looking for short-term health effects (which lead is definitely not, when the aim is to eliminate exposure). Here, intervention aim at removing exposure to a well-known widespread toxicant. This may have limited the ways to design comparisons of challenger and control intervention with sufficient power, while maintaining “the clinic equipoise”[33]. Each methodology either used sequential, time-limited intervention; or compared intervention with control groups that were rarely the absence of any intervention at all.
Educational intervention is the quickest to organize. Several studies look at the repetition of educational intervention over time[20]. Indeed although not documented, long-term loss of compliance is expected, particularly when no environmental intervention succeeds in controlling the source of lead exposure.
Access to social housing offers an alternative at least as effective as the current lead poisoning secondary prevention involving remediation work. Homes built before 1949 are required to have a Lead Exposure Risk Report carried out when they are put up for sale or rent, in accordance with French regulations[34]. Unfortunately, substandard and unhealthy housing is still poorly taken into account when allocating social housing in cases of childhood lead poisoning[35], given the shortage of social housing and despite the recognized enforceable right to housing - which imposes on the State an obligation of result in terms of access to decent housing[36].
Furthermore, housing relocation removes the child from sources of lead exposure in the environment. Unfortunately, the risk of lead poisoning remains when a new family moves in, if no rehabilitation work is carried out on the premises. The first way to avoid this risk in France is the requirement to show the tenant a Lead Exposure Risk Report [6]. But this does not take full account of the risk of lead exposure (excluding building after 1949, and water hazard). A new approach would be to make Prior Authorization to Rent out a Property conditional on the elimination of any risk of lead exposure[37]. Unfortunately, this authorization is only required in some areas, and so far does not cover this risk (even if it has already been identified for the property).
In slums, burning and recycling is a major and hardly controlled source of lead exposure. For many families, this is the only source of income. Families choose to prioritize economic survival over environmental and health protection. Children living in these contexts are thus daily exposed to lead, but also to multiple pollutants that are not sought after in dust and fumes, with massive air pollution[38] and long-term the soil pollution[39]. Pointing out the risk of lead poisoning in this illegal housing provides a paradoxical argument for enforcement to evacuate these areas, while many families are offered no alternative. However, among interventions for youth experiencing homelessness, family housing is one of the most promising intervention against current and future environmental risks[40].
Sources of lead exposure should be the primary stratification argument in a review of studies, rather than the type of intervention. As highlighted by many including Boreland, it is important to assess potential sources of lead exposure and pathways by which children are exposed to lead when studying a risk reduction intervention[41].
Improving health literacy is a priority to mediate the relationship between highly deprived socioeconomic status and health inequalities, among which lead poisoning is only one of many risks[42,43,44,45]. In slums, priority educational issues need to rather focus health mediation intervention for empowering the families with health literacy[46] and improve their social and economic capital.
The methodology of our study had inherent limitations in establishing causal inference. But it provided an argument in supporting the temporal association criterion between several interventions and lead blood level lowering. Temporal association is one of the nine criteria required to establish causality in epidemiology according to Hill [47]. This study is a retrospective observational cohort, as the standard care protocol was followed as in recommended standard care (non-randomized), although prolonged delays are to be noted compared with recommendations[6]. Delays depended on a number of uncontrolled confounding factors (but to know the situations, much more related to many administrative delays than to family-specific factors). Socio-environmental and cultural confounding factors cannot be excluded, but they should have be frequent and homogeneous enough to cause bias (i.e. confounding factor need a systematic double association with benefiting of one intervention and the decrease of blood lead level – independently from the effect of the intervention itself).
Nevertheless, this cohort following a systematic management protocol was better able to integrate data from children with reduced compliance to follow-up, taking time into account, than a RCT that would have rapidly excluded them[48]. Several review of RCTs failed to furnish consistent strategy and guidelines against childhood lead poisoning[13,48]. Clinicians were left alone in front of this public health issue and many children in front of uncontrolled lead exposure. These conclusions call into question the improvement in the medical service thus rendered. Moreover, Jacobs has pointed out that studies showing the efficacy of some interventions may have been overlooked[49].
In public health, evidence from non-RCT may provide more adequate or best available measure of impact [50]. Non-RCT evidence is often considered as lower quality. However, the Grading of Recommendations Assessment, Development and Evaluation approach to grading the quality of evidence and strength of recommendations considers Hill’s criteria for causation. Furthermore, several enhancements to these criteria have been published [51].
Now, massive health data epidemiology will help to overcome the challenge of comparing the effectiveness of different interventions in real life. The impact of each intervention type can be assessed by adjusting for selection biases, by example via propensity score matching[52]. This approach requires considerating the inherent limitations of observational studies and validating the balance of covariates. But massive health data epidemiology offer a promising way forward compared with the disappointing results of past RCTs.

5. Conclusions

As with any social health inequity, childhood lead poisoning requires a complex strategy involving the living environment and social situation of the family.
In substandard housing, every intervention (home-based educational, housing remediation and relocation) were effective in decreasing blood lead levels. Educational intervention is the quickest way to control exposure. Housing remediation work is part of a legal procedure, which is long but effective. Some families manage to get relocation of their housing, depending on their financial resources or whether they are eligible for social housing for other reasons, but this is also very time-shifted.
In slums, educational intervention can primary improve families health literacy, and their social and economic capital. Wherever possible, access to legal housing should be targeted for its multiple positive impacts on the health and well-being of the whole family, including the fight against lead poisoning.

Author Contributions

Conceptualization, R.L.; methodology, R.L. and E.J.; investigation, H.de B-B.; data curation, E.J.; writing—original draft preparation, R.L.; writing—review and editing, all authors. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding

Institutional Review Board Statement

This research is a monocentric internal study, on existing data with a change of purpose, not involving the human person (not subject to authorization[53]). Data were collected from medical record. Information was provided to patients. A declaration of the database was made to the correspondent of the Commission Nationale Informatique et Libertés of the Assistance Publique - Hôpitaux de Marseille.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Abbreviations

The following abbreviations are used in this manuscript:
HEPA High-Efficiency Particulate Air
RCT Randomized Control Trial

References

  1. Environmental burden of disease associated with inadequate housing: a method guide to the quantification of health effects of selected housing risks in the WHO European Region. Accessed April 19, 2025. https://www.who.int/publications/i/item/9789289057899.
  2. Saturnisme de l’enfant. Accessed April 17, 2025. https://www.santepubliquefrance.fr/maladies-et-traumatismes/maladies-de-la-mere-et-de-l-enfant/saturnisme-de-l-enfant.
  3. Détermination de nouveaux objectifs de gestion des expositions au plomb. Accessed June 11, 2025. https://www.hcsp.fr/explore.cgi/avisrapportsdomaine?clefr=444.
  4. Rollin L, Carré N, Garnier R, Greater Paris lead poisoning monitoring system (système de surveillance du saturnisme en Ile-de-France [SSSILF]). Follow-up of children suffering from lead poisoning or at risk of lead poisoning in Greater Paris, 1992--2002. Rev Epidemiol Sante Publique. 2008;56(6):391-397. [CrossRef]
  5. Solet JL, Renault P, Denys JC, et al. [Discovery and follow-up of a lead-poisoning outbreak in a shantytown of Le Port, Reunion Island]. Rev Epidemiol Sante Publique. 2013;61(4):329-337. [CrossRef]
  6. Chapitre IV : Lutte contre la présence de plomb ou d’amiante. (Articles L1334-1 à L1334-17) - Légifrance. Accessed April 17, 2025. https://www.legifrance.gouv.fr/codes/section_lc/LEGITEXT000006072665/LEGISCTA000006171529/#LEGISCTA000050703003.
  7. HCSP. Mise à jour du guide pratique de dépistage et de prise en charge des expositions au plomb chez l’enfant mineur et la femme enceinte. Haut Conseil de la Santé Publique; 2017. Accessed April 17, 2025. https://www.hcsp.fr/explore.cgi/avisrapportsdomaine?clefr=643.
  8. Amitai Y, Graef JW, Brown MJ, Gerstle RS, Kahn N, Cochrane PE. Hazards of “deleading” homes of children with lead poisoning. Am J Dis Child 1960. 1987;141(7):758-760. [CrossRef]
  9. Shani Z, Scott RG, Schofield LS, et al. Effect of a home intervention program on pediatric asthma in an environmental justice community. Health Promot Pract. 2015;16(2):291-298. [CrossRef]
  10. de Blay F, Fourgaut G, Hedelin G, et al. Medical Indoor Environment Counselor (MIEC): role in compliance with advice on mite allergen avoidance and on mite allergen exposure. Allergy. 2003;58(1):27-33. [CrossRef]
  11. Montaudié-Dumas I, Giovannini-Chami L, Debai C, et al. [Impact on the indoor environment of allergic children of the medical counselor on indoor environment, after two successive visits at 6 months interval]. Arch Pediatr Organe Off Soc Francaise Pediatr. 2013;20(12):1288-1295. [CrossRef]
  12. Yeoh B, Woolfenden S, Wheeler D, Alperstein G, Lanphear B. Household interventions for prevention of domestic lead exposure in children. Cochrane Database Syst Rev. 2008;(2):CD006047. [CrossRef]
  13. Nussbaumer-Streit B, Mayr V, Dobrescu AI, et al. Household interventions for secondary prevention of domestic lead exposure in children. Cochrane Database Syst Rev. 2020;10(10):CD006047. [CrossRef]
  14. US EPA O. Lead Laws and Regulations. February 12, 2013. Accessed April 19, 2025. https://www.epa.gov/lead/lead-laws-and-regulations.
  15. Ministère de la santé et des solidarités. L’intoxication par le plomb de l’enfant et la femme enceinte : guide pratique. Published online 2006. https://sante.gouv.fr/IMG/pdf/guide_depistage_saturnisme-3.pdf.
  16. Décret n°2002-120 du 30 janvier 2002 relatif aux caractéristiques du logement décent pris pour l’application de l’article 187 de la loi n° 2000-1208 du 13 décembre 2000 relative à la solidarité et au renouvellement urbains. - Légifrance. Accessed May 15, 2025. https://www.legifrance.gouv.fr/loda/id/JORFTEXT000000217471/.
  17. The Challenge of Slums - Global Report on Human Settlements 2003 | UN-Habitat. Accessed June 13, 2025. https://unhabitat.org/the-challenge-of-slums-global-report-on-human-settlements-2003.
  18. HCSP. Mise à jour du guide pratique de dépistage et de prise en charge des expositions au plomb chez l’enfant mineur et la femme enceinte. Haut Conseil de la Santé Publique; 2017. Accessed May 15, 2025. https://www.hcsp.fr/explore.cgi/avisrapportsdomaine?clefr=643.
  19. Les conseillers (CMEI/CHS). APPA. Accessed May 18, 2025. https://www.appa.asso.fr/habitat-sante/les-conseillers/.
  20. Jordan CM, Yust BL, Robison LL, Hannan P, Deinard AS. A randomized trial of education to prevent lead burden in children at high risk for lead exposure: efficacy as measured by blood lead monitoring. Environ Health Perspect. 2003;111(16):1947-1951. [CrossRef]
  21. Shen X ming, Yan C huai, Wu S hu, Shi R. [Parental education to reduce blood lead levels in children with mild and moderate lead poisoning: a randomized controlled study]. Zhonghua Er Ke Za Zhi Chin J Pediatr. 2004;42(12):892-897..
  22. Alcock G, Das S, Shah More N, et al. Examining inequalities in uptake of maternal health care and choice of provider in underserved urban areas of Mumbai, India: a mixed methods study. BMC Pregnancy Childbirth. 2015;15:231. [CrossRef]
  23. Levesque JF, Harris MF, Russell G. Patient-centred access to health care: conceptualising access at the interface of health systems and populations. Int J Equity Health. 2013;12:18. [CrossRef]
  24. Dixon SL, Jacobs DE, Wilson JW, Akoto JY, Nevin R, Scott Clark C. Window replacement and residential lead paint hazard control 12 years later. Environ Res. 2012;113:14-20. [CrossRef]
  25. Sarigiannis DA, Hansen U. Considering the cumulative risk of mixtures of chemicals - a challenge for policy makers. Environ Health Glob Access Sci Source. 2012;11 Suppl 1(Suppl 1):S18. [CrossRef]
  26. Braun JM, Hornung R, Chen A, et al. Effect of Residential Lead-Hazard Interventions on Childhood Blood Lead Concentrations and Neurobehavioral Outcomes: A Randomized Clinical Trial. JAMA Pediatr. 2018;172(10):934-942. [CrossRef]
  27. Campbell C, Tran M, Gracely E, et al. Primary prevention of lead exposure: the Philadelphia lead safe homes study. Public Health Rep Wash DC 1974. 2011;126 Suppl 1(Suppl 1):76-88. [CrossRef]
  28. Hilts SR, Hertzman C, Marion SA. A controlled trial of the effect of HEPA vacuuming on childhood lead exposure. Can J Public Health Rev Can Sante Publique. 1995;86(5):345-350..
  29. Rhoads GG, Ettinger AS, Weisel CP, et al. The effect of dust lead control on blood lead in toddlers: a randomized trial. Pediatrics. 1999;103(3):551-555. [CrossRef]
  30. Krezanoski PJ, Comfort AB, Hamer DH. Effect of incentives on insecticide-treated bed net use in sub-Saharan Africa: a cluster randomized trial in Madagascar. Malar J. 2010;9:186. [CrossRef]
  31. Lanphear BP, Howard C, Eberly S, et al. Primary prevention of childhood lead exposure: A randomized trial of dust control. Pediatrics. 1999;103(4 Pt 1):772-777. [CrossRef]
  32. Farrell KP, Brophy MC, Chisolm JJ, Rohde CA, Strauss WJ. Soil lead abatement and children’s blood lead levels in an urban setting. Am J Public Health. 1998;88(12):1837-1839. [CrossRef]
  33. Miller FG, Brody H. Clinical equipoise and the incoherence of research ethics. J Med Philos. 2007;32(2):151-165. [CrossRef]
  34. Article L1334-1 - Code de la santé publique - Légifrance. Accessed March 25, 2025. https://www.legifrance.gouv.fr/codes/article_lc/LEGIARTI000031928008.
  35. Mal-logement en France : la bombe sociale a explosé | Fondation pour le Logement. Accessed May 14, 2025. http://www.fondationpourlelogement.fr/nos-publications/communiques-de-presse/mal-logement-en-france-la-bombe-sociale-explose.
  36. Section 1 : Conditions d’attribution des logements et plafonds de ressources. (Articles L441 à L441-2-9) - Légifrance. Accessed May 14, 2025. https://www.legifrance.gouv.fr/codes/id/LEGISCTA000006176320/.
  37. Chapitre V : Autorisation préalable de mise en location (Articles L635-1 à L635-11) - Légifrance. Accessed June 11, 2025. https://www.legifrance.gouv.fr/codes/section_lc/LEGITEXT000006074096/LEGISCTA000028781374/.
  38. Ajay SV, Kirankumar PS, Sanath K, Prathish KP, Haridas A. An experimental simulation study of conventional waste burning practices in India for the assessment and inventorisation of PCDD/F/dl-PCB emissions. J Environ Manage. 2022;303:114109. [CrossRef]
  39. Akortia E, Olukunle OI, Daso AP, Okonkwo JO. Soil concentrations of polybrominated diphenyl ethers and trace metals from an electronic waste dump site in the Greater Accra Region, Ghana: Implications for human exposure. Ecotoxicol Environ Saf. 2017;137:247-255. [CrossRef]
  40. Wang JZ, Mott S, Magwood O, et al. The impact of interventions for youth experiencing homelessness on housing, mental health, substance use, and family cohesion: a systematic review. BMC Public Health. 2019;19(1):1528. [CrossRef]
  41. Boreland F, Lesjak M, Lyle D. Evaluation of home lead remediation in an Australian mining community. Sci Total Environ. 2009;408(2):202-208. [CrossRef]
  42. Seth R, Girotra TG, Mohammad I, Qaiyum Y, Taneja I, Raman S. Mobile health van as an intervention to provide clinical support and health promotion to street children and marginalised populations in the National Capital Region of Delhi: a mixed-methods evaluation. BMJ Paediatr Open. 2025;9(1):e002988. [CrossRef]
  43. Stormacq C, Van den Broucke S, Wosinski J. Does health literacy mediate the relationship between socioeconomic status and health disparities? Integrative review. Health Promot Int. 2019;34(5):e1-e17. [CrossRef]
  44. Reviving health mediation during the COVID-19 crisis and beyond: an implementation study in deprived neighbourhoods of Marseille, France - PubMed. Accessed May 9, 2025. https://pubmed.ncbi.nlm.nih.gov/39022414/.
  45. Laporte R, Babe P, Jouve E, et al. Developing and Validating an Individual-Level Deprivation Index for Children’s Health in France. Int J Environ Res Public Health. 2022;19(24):16949. [CrossRef]
  46. SPF. Un programme national de médiation en santé auprès et avec les gens du Voyage et les habitants de bidonvilles et squats. Accessed May 15, 2025. https://www.santepubliquefrance.fr/import/un-programme-national-de-mediation-en-sante-aupres-et-avec-les-gens-du-voyage-et-les-habitants-de-bidonvilles-et-squats.
  47. Hill AB. THE ENVIRONMENT AND DISEASE: ASSOCIATION OR CAUSATION? Proc R Soc Med. 1965;58(5):295-300. [CrossRef]
  48. Cantor AG, Hendrickson R, Blazina I, Griffin J, Grusing S, McDonagh MS. Screening for Elevated Blood Lead Levels in Childhood and Pregnancy: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force. JAMA. 2019;321(15):1510-1526. [CrossRef]
  49. Jacobs DE. Lead screening update from the US Preventive Services Task Force. J Pediatr. 2019;212:243. [CrossRef]
  50. Schünemann H, Hill S, Guyatt G, Akl EA, Ahmed F. The GRADE approach and Bradford Hill’s criteria for causation. J Epidemiol Community Health. 2011;65(5):392-395. [CrossRef]
  51. Hall W. Austin Bradford Hill’s “Environment and disease: Association or causation.” Addict Abingdon Engl. 2024;119(2):386-390. [CrossRef]
  52. Loke YK, Mattishent K. Propensity score methods in real-world epidemiology: A practical guide for first-time users. Diabetes Obes Metab. 2020;22 Suppl 3:13-20. [CrossRef]
  53. LOI N° 2012-300 Du 5 Mars 2012 Relative Aux Recherches Impliquant La Personne Humaine (1).; 2012.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual authors and contributors and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Figure 1. Flow chart.
Figure 1. Flow chart.
Preprints 164110 g001
Table 1. Patient description.
Table 1. Patient description.
Legal housing Slum P
N (%) 85 (56.3) 66 (43.7)
Boys 52 (61.2) 41 (62.1) 0.13
Age at diagnosis (years)* 4.9 (1.7) 5.9 (2.0) 0.14
Sources of lead exposure
Decayed paints 63 (74.1) 7 (10,6) <0.0005
Smoke and dusts (burning, recycling) 21 (24.7) 63 (95.5) <0.0005
Polluted water (leaded pipes) 2 (3.0) 0 (0.0) 0.51
Risk co-factors
Pica-geophagy behavior 10 (11.8) 0 (0,0) 0.005
Surrounding cases 77 (90.6) 63 (95.5) 0.35
Asssociated housing substandard criteria 44 (51.8) 57 (86.4) <0.0005
Parental at-risk occupation 15 (17.6) 54 (81.8) <0.0005
Blood lead level at diagnosis (μg/l)* 110.7 (34.5) 138.4 (32.2) 0.01
* mean (standard deviation)
Table 2. Effects of intervention against sources of lead exposure (Linear mixed model).
Table 2. Effects of intervention against sources of lead exposure (Linear mixed model).
Housing type Legal Slum
Coefficient (Standard error) p Coefficient (Standard error) p
Intercept 71.4 (12.9) < 0.0001 105.8 (11.4) < 0.0001
Inclusion age < 7 years 19.2 (12.0) 0.11 47.7 (13.7) 0.001
Associated housing
substandard criteria
36.6 (11.3) < 0.005 -
Time (months) 4.3 (1.54) < 0.01 1.0 (0.94) 0.29
Interaction time * intervention, after :
Home-based educational intervention -5.4 (1.52) < 0.001 -2.1 (0.82) 0.01
Housing remediation -6.0 (1.57) < 0.001 -
Housing relocation -5.7 (1.56) < 0.001 -4.5 (1.0) < 0.0001
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

Disclaimer

Terms of Use

Privacy Policy

Privacy Settings

© 2025 MDPI (Basel, Switzerland) unless otherwise stated