Children younger than 72 months are most at risk of environmental exposure to lead from ingestion through normal mouthing behavior. Young children are more vulnerable to lead poisoning than adults because lead is absorbed more readily in a child’s gastrointestinal tract. Our focus in this study was to determine the extent to which state mandated lead laws have helped decrease the number of new cases of elevated blood-lead levels (EBLL) in homes where an index case had been identified.
A cross-sectional study was conducted to compare 682 residential addresses, identified between 2000 and 2009, in two states with and one state without laws to prevent childhood lead poisoning among children younger than 72 months, to determine whether the laws were effective in preventing subsequent cases of lead poisoning detected in residential addresses after the identification of an index case. In this study, childhood lead poisoning was defined as the blood lead level (BLL) that would have triggered an environmental investigation in the residence. The two states with lead laws, Massachusetts (MA) and Ohio (OH), had trigger levels of ≥25 μg/dL and ≥15 μg/dL respectively. In Mississippi (MS), the state without legislation, the trigger level was ≥15 μg/dL.
The two states with lead laws, MA and OH, were 79% less likely than the one without legislation, MS, to have residential addresses with subsequent lead poisoning cases among children younger than 72 months, adjusted OR = 0.21, 95% CI (0.08-0.54).
For the three states studied, the evidence suggests that lead laws such as those studied herein effectively reduced primary exposure to lead among young children living in residential addresses that may have had lead contaminants.
Children younger than 72 months are most at risk of environmental exposure to lead from ingestion through normal mouthing behavior. Young children are more vulnerable than adults to the deleterious effects of lead poisoning because lead is absorbed more readily in a child’s gastrointestinal tract [
In 1971, Massachusetts (MA) passed the MA Childhood Lead Poisoning and Prevention Program (MA Lead Law), a landmark law requiring a program be created to monitor childhood lead poisoning in the state (Table
1MA lead poisoning that triggers an environmental investigation is defined as BLL ≥25 μg/dL.
2OH lead poisoning that triggers an environmental investigation is defined as BLL ≥15 μg/dL.Summary of Massachusetts’
1 and Ohio’s
2 lead laws 1971 1987 1993 2004 Massachusetts Massachusetts Massachusetts Ohio Lead Law passed Lead Law amended Lead Law amended again Lead Law Enacted • Owners must inspect and delead house or apartment if it was built before 1978 AND a child younger than 72 months lives there. • Deleaders must be trained and licensed to delead. • State introduced interim controls to allow owners to delead over a two-year period. Use of encapsulants was approved for deleading. • Health Department may enter residence of a child who had been identified as having lead poisoning to conduct risk assessment. • Residents must be relocated during deleading. • The Department of Public Health created a lead-poisoning–prevention program that would be responsible for enforcing these new rules. • State established financial assistance for deleading, a $1000 state income tax credit and a grant or loan program. • Safety precautions during deleading were eased when no children were present. • Permission to enter must be given by the owner or occupant of the residence. • If permission to enter the property was not granted, a court order must be obtained. • Property owners would now be liable for damages if they did not follow the Massachusetts Lead Law and a child was poisoned by the lead. • Potential purchasers of residential properties must receive notice about the lead law and have an opportunity to have a lead inspection. • State increased the income tax credit for deleading to $1500 per housing unit, and a new state fund for lead hazards was created. • If lead hazards were found, a lead-hazard–control order could be issued requiring the owner or occupant to vacate until a clearance examination had been passed. • All healthcare providers must test children for lead, and health insurers must cover the costs of this test. • Owners with Letters of Interim Control or Letter of Compliance could no longer be held liable for damages while the letters were valid. Insurers were required to provide coverage for any negligence claims (short of gross or willful negligence) brought against owners with Letters of Interim Control or Compliance. Failure to comply with the lead-hazard–control order would require a court order prohibiting occupancy of the residence until the clearance examination had been passed.
The lead law enacted in Ohio (OH) in 2004 does not impose penalties as strict as the MA lead law (Table
The strength of our evaluation lies in its capacity to help determine whether lead laws, regardless of stringency, are effective in decreasing lead poisoning among children younger than 72 months in homes where an initial lead poisoning case has been identified. The primary aim was to determine whether the proportion of addresses with subsequent cases of lead poisoning recorded after identification of an index case, was lower in the lead law states, MA and OH, compared to MS. MA and OH were selected because of the differences in the strength of their law, the length of time the laws have been enacted, and each state’s willingness to participate in the study. To adequately evaluate the relative effectiveness of lead laws, we used Mississippi (MS), which has no lead laws, as a control state. At the time of this study, which was conducted between 2009–2012, of the 35 Childhood Lead Poisoning Prevention Programs (CLPPP) under cooperate agreement with the Centers for Disease Control and Prevention’s (CDC) Healthy Homes and Lead Poisoning and Prevention Program (HHLPPP), Mississippi was the only state that did not have either state or local legislation to prevent childhood lead poisoning, but had a high lead screening penetration rate among children <72 months old. Despite not having legislation to prevent lead poisoning and having the highest poverty rate among children from birth to age 5 years, MS had annual screening rates that was similar to other states that had lead legislation and an annual elevated blood lead level (EBLL) rate similar to that of MA and lower than that of OH (Table
Source: Adapted from [ *CDC’s definition of elevated BLL in 2009 was BLL ≥10 μg/dL.STATE % Census tracts with ≥40% of residents aged birth–5 years living below poverty level (2000 census) % Children tested for blood lead (2009) % Children with elevated* blood-lead levels (2009) % Housing units consisting of rental properties (2000 census) % Housing units built before 1950 (2000 census) % Housing units built before 1978 (2000 census) Massachusetts 8.1 48.6 0.43 29.8 42.77 79.22 Ohio 16.7 16.9 1.53 35.7 31.4 77.2 Mississippi 28.1 16.9 0.46 24.9 11.6 59.4
A cross-sectional study was conducted to determine whether addresses in lead law states compared to states without lead laws, were more or less likely to have subsequent cases of lead poisoning after identification of an index case; the odds of addresses in MA and OH, states with lead laws, were compared to the odds of addresses in MS, state without lead laws. At the time of the study, MS was the only state, under cooperate agreement with the CDC, that had no state or local legislation to protect against childhood lead poisoning. Permission to conduct this cross-sectional study was sought from the state Directors of the Childhood Lead Poisoning Prevention Program. All three states agreed to participate and had the resources to contribute to the findings of this cross sectional study. Data for this cross-sectional study were obtained from CBLS records and the files of public health departments in the three states. The CBLS database serves as a central repository of the national blood-lead surveillance data that the state Healthy Homes and Lead Poisoning Prevention Programs (HHLPPP) provide. CDC has supported state and local HHLPPPs that maintain blood-lead test results analyzed by public and private clinical laboratories and perform various other functions. The blood-lead test results and additional case management and environmental data are sent to CDC quarterly.
The CBLS database holds blood-lead data for many children; however, it was not possible to obtain information from grantee files for all children tested in these three states for the study period, from 2000 to 2009. Lead poisoning cases were defined among children younger than 72 months old, with confirmed BLLs that met or exceeded the thresholds that triggered an environmental investigation in that state. In MS and OH, a child’s BLL ≥15 μg/dL triggers a mandatory environmental investigation in the primary residence; in MA, a child’s BLL ≥25 μg/dL triggers an investigation. Confirmation of BLL was based either on a single venous sample or on two capillary samples within a 12-week period. In order to give each lead poisoned case an equal probability of selection into the study, and to avoid any systematic errors in case selection, case records were selected randomly from children younger than 72 months with at least one BLL listed in the CBLS. Random selection occurred in a three-step process. First, case management record numbers were uploaded into a Microsoft Access© (MS Access) data base. Second, MS Access was used to produce a list of randomly generated case management record numbers. From this list, cases were sequentially selected until the desired numbers of records were pulled.
To calculate the sample size needed for each year of inquiry, we first calculated the proportion of confirmed EBLLs for both female and male children younger than 72 months. We used the formula: as PF = CF/TF and PM = CM/TM, where PF and PM were the proportion of EBLLs, CF and CM were the number of confirmed EBLLs, and TF and TM were the total number tested, for female and male children, respectively. The proportion of cases among male and female children were determined separately because evidence suggests male children are more likely than female children to have EBLLs [
We obtained the data for this study from CDC’s CBLS, the case management file of selected cases, and from tax assessor files. Following are the specific types of data we collected and their sources.
We obtained information on addresses in which children with confirmed lead poisoning had resided from files maintained at the MS, OH, and MA Departments of Public Health. Study personnel visited each of these grantees to extract data from paper records that would supplement the blood-test data from the CBLS database for selected children. After children with lead poisoning were identified, random numbers were assigned to each eligible child by gender and year, to facilitate random selection. All dwelling information of these randomly selected children was then used to obtain address level information from the case management and environmental investigation files.
Briefly, auto-generated lists of randomly selected cases were presented to the grantees for file selection who sequentially selected cases based on the random numbers generated. The grantee started at the top of each year or gender grouping and selected available files until the targeted number of cases was selected. If a file was available and selected for a given year, that file became a case patient in that year. To ensure enough cases would be selected, the targeted number of cases in each year and gender combination was increased by three before the list was provided to the grantees. After case patients were selected, their addresses were linked within the case-management file system. This link allowed grantees to obtain information on all addresses at which a child resided at the time of the blood-lead test and case-management follow-up. Information obtained included the year the dwelling was built, who owned the dwelling, and indicators of the presence of lead hazards in the dwelling.
US Census data on population and household characteristics at the county level were downloaded from the US Census Bureau website. These data represented “supplemental data” that helped to better characterize the housing stock and surrounding neighborhoods of addresses and households containing children with data from blood tests. This information was linked to child dwelling records based on the county FIPS code. The sources of the downloaded Census data were Year 2000 Summary Files 1 and 3, available from the following links:
Counties were classified according to their urbanicity using the 2003 Rural–urban Continuum Codes established by the Economic Research Service (ERS) of the U.S. Department of Agriculture (USDA). These codes, available from the USDA website (
*Reflects results of the 682 distinct addresses for which at least one confirmed lead poisoning case was identified in which the cohort year was 2000 or later for MA and MS, and 2004 or later for OH.
1Defined according to state’s definition as described above.
2Percentage reflects the proportion of addresses, among all selected addresses in which at least one confirmed case of lead poisoning was identified, for which this data was available.
3Fisher’s Exact test used to examine differences in the distribution of results between states specified in parentheses. P-value ≤0.05 implies statistical significance.Number of addresses with children with lead poisoning (% with available responses)
2
P-value
3
MA OH MS Number of addresses 184 216 282
Pre-1950 28 (47.5%) 121 (87.7%) 74 (57.3%)
1950 and newer 3 (5.1%) 1 (0.7%) 2 (1.6%) 1950 to 1977 4 (6.8%) 13(9.4%) 46 (35.7%) <0.000 (all states) Pre-1978 20 (33.9%) -- -- 0.134 (MA vs. MS) 1978 and newer 4 (6.8%) 3 (2.2%) 7 (5.4%) <0.000 (OH vs. MS) Unknown 125 78 153
Single-family, detached or attached 58 (43.3%) 97 (70.3%) 121 (74.2%) < 0.000 (all states) Multi-unit building 75 (56.0%) 37 (26.8%) 13 (8.0%) <0.000 (MA vs. MS) Mobile home 1 (0.8%) 3 (2.2%) 26 (16.0%) <0.000 (OH vs. MS) Mix (different categories) 0 (0.0%) 1 (0.7%) 3 (1.9%) Unknown 50 78 119
Private, owner-occupied 73 (53.3%) 33 (26.0%) 66 (44.3%) < 0.000 (all states) Rental, privately-owned 57 (41.6%) 86 (67.7%) 70 (47.0%) 0.098 (MA vs. MS) Rental, publicly-owned 1 (0.7%) 0 (0.0%) 7 (4.7%) 0.000 (OH vs. MS) Rental, Section 8 or subsidized 6 (4.4%) 7 (5.5%) 4 (2.7%) Mix-both owner-occupied and rental 0 (0.0%) 1 (0.8%) 2 (1.3%) Unknown 47 89 133
Excellent 3 (3.7%) 0 (0.0%) 0 (0.0%) < 0.000 (all states) Good 29 (35.8%) 9 (8.1%) 53 (32.3%) <0.000 (MA vs. MS) Fair 37 (45.7%) 73 (65.8%) 107 (65.2%) <0.000 (OH vs. MS) Poor 10 (12.4%) 29 (26.1%) 1 (0.6%) Mix 2 (2.4%) 0 (0.0%) 3 (1.8%) Unknown 103 105 118
Yes 0 (0.0%) 33 (53.2%) 3 (42.9%) 0.702 (OH vs. MS) No 0 (0.0%) 29 (46.8%) 4 (57.1%) Unknown 184 154 275
Yes 43 (65.2%) 36 (52.9%) 1 (100.0%) 0.166 (MA vs. OH) No 22 (33.3%) 32 (47.1%) 0 (0.0%) Both yes and no specified 1 (1.5%) 0 (0.0%) 0 (0.0%) Unknown 118 148 281
Yes 24 (42.1%) 13 (46.4%) 17 (73.9%) 0.044 (all states) No 33 (57.9%) 15 (53.6%) 6 (26.1%) 0.013 (MA vs. MS) Unknown 127 188 259 0.086 (OH vs. MS)
Data were analyzed at the address level. The goal of the analysis was to determine the odds of observing any subsequent lead poisoning cases, in addresses that had on record a previously identified index case, in two states with lead laws compared to one state without lead laws. Thus, an address needed to meet certain eligibility requirements regarding its resident children in order to be included in the analysis. Specifically, an address needed to have at least one child who was eligible to be classified as index case, based on available blood-lead data for the child. For a given address, a child was eligible to be an index case if each of the following occurred: The child was the first child identified at the given address between 2000 and 2009 (or 2004–2009 for OH); The child was not recorded as a case in any other address between 2000 and 2009 (or 2004–2009 for OH) and; The blood lead records for the child are linked to the given address.
In order for subsequent cases to be linked to a specific address, each of the following had to be satisfied: The index case was identified at the address before identification of the subsequent case; The child was not the index case, and; The child was not a confirmed lead poisoning case over the prior two year, the amount of time it takes BLL to decrease once the hazard is removed, while residing at the address or any other address on record.
To examine demographic characteristics of addresses in two states with and one state without laws to prevent childhood lead poisoning, sample means and frequencies were calculated for continuous and categorical socio-demographic, assessed at the county level, and housing variables, respectively. Fisher exact test and Kruskal-Wallis test were used to examine associations in percentages and test for significant differences in mean dust-lead loadings, respectively, between lead law and control states.
A binary variable indicating whether or not any subsequent lead poisoning cases occurred at an address, after identification of an index case was used to define the dependent variable. Since address was the unit of analysis, the binary dependent variable was regressed against the independent variable, lead law state versus non lead law state, to examine whether the odds of observing any subsequent case after identification of an index case differed in addresses in lead law states compared to non-lead law state.
Multivariable logistic regression analyses were used to determine whether this association remained statistically significant after controlling for other risk factors (e.g., socio-demographic, housing, environmental) that a priori had previously been associated independently with EBBLs among young children. The Hosmer-Lemeshow chi-square goodness-of-fit test was performed to determine whether the model was a good fit to the data. The logistic regression model was fitted using the LOGISTIC procedure in SAS.
Institutional Review Board (IRB) approvals were obtained from CDC, the Battelle Memorial Institute, and the MA, MS, and OH Departments of Public Health. All analyses were conducted using SAS version 9.3, SAS Institute, Cary, NC.
Table
We analyzed data for the dwelling of a selected child’s primary residence at the time lead poisoning was confirmed, and only for those addresses with associated blood-lead data and evidence of confirmed lead poisoning. MA had 184 addresses in which lead poisoning had been confirmed; OH had 216, and MS had 282. When building age was known, 47.5%, 87.7%, and 57.3% of them in MA, OH, and MS, respectively, were built before 1950. When building type was known, 43.3%, 70.3% and 74.2% of them in MA, OH, and MS, respectively, were single-family dwellings (Table
We examined whether statistically significant differences existed, between lead law states and the control state, in the number of confirmed subsequent cases of lead poisoning identified at a given address after the discovery of an index case for that same address. We used logistic regression analysis with the unadjusted and adjusted main effects association expressed as the odds ratios and corresponding 95% confidence interval (CI) (Table
1#addresses represent 292 distinct addresses that had sufficient blood lead data for assessing the potential for subsequent cases following the index case. For the adjusted estimates, the n next to each covariate represents the number of addresses for which that information was available. For the final adjusted model, the N represents the addresses that had both main effects and covariate information available.
2Odds ratios are calculated as the exponential of the corresponding slope parameter estimates in this table. Lead law state = 1 and control state = 0.
3Results presented shows the final stepwise model adjusting for all covariates listed; the main effects variable, address with subsequent cases, continued to be the best fit to the data. Intercept and county indicator parameters were forced into the stepwise model.
4The Hosmer-Lemeshow chi-square value of the goodness-of-fit test was 4.4971, p = 0.4803. Model is a good fit to the data, given p > 0.05. *P-value ≤0.05 implies statistical significance.
Covariate # Addresses
1
Effect Estimates Lead law states (MA and OH) vs. control state (MS) Odds ratio of lead law states (MA/OH) vs. control state (MS) (95% CI)
2
Estimate Std. error p-value* Address with subsequent case(s) (Unadjusted main effects model) 292 -0.5546 0.2749 0.0434 0.57 (0.34-0.98)
Address with subsequent case(s) (Adjusted e stepwise regression main effects association with all variables controlled for in the model)3,4
115 -1.5626 0.4806 0.001 0.21 (0.08-0.54)
Year building built (pre-1950 vs. newer) 150 -1.3864 0.4090 0.001 Building type (Single family vs. Multi-unit) 182 -0.7102 0.3642 0.051 Building ownership (Private, owner-occupied vs. other) 184 -0.8670 0.3440 0.012 Floor Dust-Lead Loading (mean) 191 -0.6696 0.3283 0.041 Sill Dust-Lead Loading (mean) 171 -0.9873 0.3469 0.004 Median Household Income in County (median) 292 -0.6559 0.3945 0.096 Mean Household Size in County (mean) 292 -0.8508 0.3485 0.015 Poverty in County (%) 292 -0.4180 0.4044 0.301 CAPI in County (%) 292 -0.5805 0.2988 0.052 Households in County with High School Graduates (%) 292 -0.7308 0.4004 0.068 Non-whites in County (%) 292 -0.5961 0.4144 0.150 Pre-1950 homes in County (%) 292 -0.3011 0.5540 0.587 Rentals in County (%) 292 -0.5503 0.2758 0.046
Several studies have been conducted to determine the effectiveness of education and environmental intervention on primary prevention of lead poisoning among infants and young children [
Unadjusted estimates showed, compared to the state without lead laws, the lead law states were 43% less likely to have residential addresses with subsequent lead poisoning cases after identification of an index case, among children younger than 72 months. After controlling for covariates including housing and county level risk factors, the association became even stronger, suggesting confounding biased the results towards the null; lead law states were 79% less likely to identify subsequence cases of lead poisoning. Both unadjusted and adjusted results were statistically significant. The MA Lead Law is more stringent and has been enforced much longer than similar laws in OH; however, evidence exists that when any lead law is enacted and enforced, they can be effective in reducing primary exposure to lead among young children [
Potential beneficiaries of laws aimed at preventing lead poisoning may be families re-gentrifying inner city neighborhoods [
The results of these findings are important and warrant further research given recent recommendations from CDC’s Advisory Committee on Childhood Lead Poisoning Prevention (ACCLPP) to lower the blood-lead level at which public health action is taken. Between 1991 and 2011, CDC defined BLLs ≥10
While efforts were made to control for the effect of confounding and limit sampling bias, the results of this study are not without limitations. Unavailable demographic and environmental data, at the address level, as well as residual confounding at the individual level, may have limited our ability to thoroughly control for the effect of external factors, which may cause deceptive associations. To confirm whether there may have been residual confounding due to missing address level data, ancillary analyses were conducted to determine whether differences existed in median county level pre-1950’s homes, household income and poverty levels among addresses with complete address level information compared to those with missing information. There was no statistically significant difference in median county level pre-1950’s homes, household income and poverty level between addresses with and without complete address level information.
Limitation due to case attrition may have affected our ability to depict true exposure experiences of patients who subsequently were diagnosed with lead poisoning, the result of which would have diluted the true association. Additionally, while efforts were made to control for the effect of confounding at the county level, as was detailed in Table
The effects of ecological confounding at the state level may have limited our ability to delineate true associations. For example, the state without lead laws, tended to on average, have more privately owned rental and owner occupied addresses compared to the lead law states. Privately owned property, built before 1978, is not federally mandated to abate residential lead paint [
Although all three states may have dwellings with lead-paint hazards, the results of this study suggests that compared to MS, laws in MA and OH may be effective in reducing the number of young children exposed to residential lead contamination. This study has shown that compared to children living in the one state examined without lead laws, children younger than 72 months living in the two states with lead laws are less likely to live at an address where a previous child was found to be lead poisoned and become a subsequent case. This evidence suggests that compared to the state with lead laws, laws such as those studied herein can reduce exposure to residential lead contamination among young children, given the fewer number of subsequent cases of lead poisoning identified at residential addresses where a previously detected index case was recorded.
Centers for Disease Control and Prevention
Childhood Lead Poisoning and Prevention Program
Childhood Blood Lead Surveillance
Elevated Blood Lead Level
Healthy Homes and Lead Poisoning Prevention Program
Massachusetts
Mississippi
Ohio.
This study was supported by funding from the National Center for Environmental Health in agreement with the Department of Housing and Urban Development.
The authors have no relevant financial or non-financial competing interest in this article.
CK: Served as the Principal Investigator of this study and was instrumental in the conception and design of the study protocol as well as draft of the manuscript. RL: Served as the senior statistician on this study and was instrumental in the analysis of the data as well as help with the draft of the manuscript. MSS: Served as the technical advisor and study coordinator and was instrumental in training the field data collection staff as well as reviewing and editing the manuscript. RB: Served as the senior data collector and monitor. She also assisted with data analysis. MJB: Served as the senior advisor on the manuscript and provided critical revisions to the content. All authors read and approved the final manuscript.
We thank Dr. Beryl Polk, Program Director, Childhood Lead Poisoning Prevention Program, Mississippi Department of Public Health, Mr. Paul Hunter, Program Director, Childhood Lead Poisoning Prevention Program, Massachusetts Department of Public Health and Mr. John Belt, Program Administrator, Childhood Lead Poisoning Prevention Program, Ohio Department of Public Health for their insightful review of the study protocol and final manuscript. Without their support, this study, as conducted, would not have been possible. We thank Mr. Peter Ashley, Department of Housing and Urban Development, for providing the opportunity to conduct this study.
The findings and conclusions in this report are those of the author(s) and do not necessarily represent the views of the Centers for Disease Control and Prevention and the Agency for Toxic Substances and Disease Registry.