north hamilton child blood lead study 2008 - 2009 health/final_cbls… · lead-associated hobby or...

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Disclaimer: All information provided is believed to be accurate and reliable. We will make changes, updates and deletions as required and make every effort to ensure the accuracy and quality of the information provided. However, the City of Hamilton assumes no responsibility for any errors and are not liable for any damages of any kind resulting from the use of, or reliance on, the information contained herein. Individual layer values were provided by Hamilton’s Public Health Services and Information Services. COPYRIGHT 2012 The City of Hamilton. Produced by Business Applications, Information Services. Printed June 19, 2012. May not be reproduced without permission. THIS IS NOT A PLAN OF SURVEY Hamilton MOVING FORWARD Lead exposure information provided to at-risk families through PH Nurses providing home visits to new mothers Lead exposure prevention strategies shared through community information sessions at daycares, Ontario Early Years Centres, and Parenting & Family Literacy Centres Distribution of water filters for lead to at-risk families participating in the home visitation program offered by PH Nurses Hamilton Public Health Services has begun developing inter- ventions that will seek to inform families at risk and provide strategies to reduce their risk of exposure to environmental lead: Communication of study results/education strategy aimed at community physicians Home risk assessments performed by PH Inspectors available in response to a physician request re: a child with a BLL of concern ACKNOWLEDGMENTS We recognize and express our gratitude to Dr. Lesbia Smith and Robert Kusiak of EOHP Plus Inc., Dr. Celine Pinsent and Tim Dugas of Goss Gilroy, Inc., and Aimei Fan (Health Analyst) and Erin Van Driel (GIS Technologist) of the City of Hamilton Public Health Services for their substantial contributions to this report. Thanks to Erin Van Driel and Shane Thombs (GIS Tech- nologist) for their assistance in preparation of the poster. Blood lead levels in Hamilton children: A small proportion of Hamilton children are being exposed at levels that require interventions at an individual, clinical level. We believe the findings generally reflect the BLLs of the study area population but the lower participation rates among the more at-risk groups may have resulted in a slight underestimate of the overall BLL. Public health promotional material and follow-up: Results suggest a substantial audience exists for promotional materials about reducing lead exposure and lead-exposure re- duction services will be well received in this community. Variation in awareness levels with other markers of SES sup- ports the use of targeted approaches. Potential lead exposure sources and risks: The study area represented the highest theoretical risk to lead exposure within the City of Hamilton; study results show this population to be at some risk (i.e. older housing stock; long- standing lead-emitting industry, historic roadways, low SES, recent immigration, rental housing, an unofficial language spoken at home and demonstrated presence of environmen- tal lead). High proportions of families living in housing built pre-1945 indicate that awareness of lead exposure risks from home renovations in older housing stock is an important component for public health lead exposure interventions in Hamilton. Mitigating factors: Many families in the study area were already engaged in miti- gating practices; promotional activities should continue to en- courage such behaviours. Complexity and neighbourhood effects: BLLs varied across the study area to some extent, consistent with the pat- tern seen in risk factors, socio-economic markers and envi- CONCLUSIONS ronmental lead levels. In the analyses of association, these potential predictors of BLLs were intertwined to the extent that it was challenging to disentangle contributions to BLLs and intermediary sources. Research demonstrates that elevated BLLs are usually found among lower socioeconomic groups and minorities who are more likely to live in older housing that is in poor repair. The importance of social determinants of health on a child’s BLL is supported by the positive association between low house- hold income and BLL. This study’s measure of industry emissions was a proxy mea- sure that may reflect long-established, urban neighbourhoods that are also adjacent to long-established lead-emitting indus- try with unmeasured risk from multiple sources. This factor demonstrated a significant and strong association with BLLs. Such areas are therefore of particular importance to public health lead exposure reduction strategies. Results suggest the need for a multi-pronged col- laborative approach to environmental lead expo- sure reduction, involving disciplines/programs within public health, local physicians serving iden- tified populations at risk, and community stake- holders involved in neighborhood development strategies. The City of Hamilton Board of Health approved a collaboration with stakeholders to deliver an envi- ronmental lead awareness program and to reduce exposure to environmental lead for children under age 7 and women of child-bearing age. Non-random samples – Random sample not achieved. We had a plan to rapidly convert design to a convenience sample. Sample not representative of study area – Families from higher SES and located furthest from industry were more likely to participate. Engaging at-risk populations challeng- ing. Poor quality of some measures – Questions such as presence of filters on drinking water tap, food security, were dropped from analyses. Needed redundant measures. Housing infrastructure questions were a challenge Many respondents were unaware, especially renters, re: types of water pipes and housing age. Collect instead via inspection? Public Health Unit implementation of large re- search studies – Difficult to balance regular duties with study demands resulting in study delays and heavy workloads. Greater collaboration with local university would have helped. Chose objectives conservatively – Bulk of resources was spent on cleansing of data, analyses, interpretation and report writing for secondary objectives for which the study design was not ideal. Effective use of recruitment resources – Aggressive recruitment procedures netted little difference in participation rates. Extra telephone recruitment was expensive and ineffective. CHALLENGES & SUCCESSES Importance of community communications – Suc- cessfully recruited a relatively large number of children within study; engaged media, community organizations and net- works. Benefits of having access to various data sources Strengthened study findings; helpful in defining study area population, understanding relevant resident and environmen- tal characteristics and provide proxy measures in lieu of more expensive direct measures. Importance of having PH team and medical referral structure in place a priori – Clinical follow-up was com- plex; this optimized client services. Single lab used for venous retests created efficiencies. Benefits of having multiple stakeholders involved in the study – provision of study resources (e.g. staff, diagnos- tic testing, expert advice, clinical services, mapping, clinic space, environmental sample collection, report writing and analysis) and enrichment of available data sources. Access to research funding/political support – Fund- ing via the PHRED Program; bolstered by political support received by local Board of Health. Generous in-kind re- sources also provided by Ontario Ministry of the Environ- ment, Ontario Public Health Laboratory, and the City of Hamilton. Model Type 1: Relationships between lead sources and BLLs (μmol/L) Model Type 2: Lead sources and study follow- up BLLs 0.19 μmol/L Statistically significant predictor variables Beta Estimated % change in BLL (95% CI)* Estimated impact on population mean of 0.100 μmol/L * R 2 Beta Odds Ratio (95% CI) ^ Primary Source Model (interview sample N=580 children) Constructed pre 1920 0.15 0.3% to 33.0% 0.100 – 0.133 μmol/L Age of Housing Baseline: House construction date post 1944 Constructed 1920-44 Non-significant category Non-significant Proximity 0-500m 0.17 30.1% to 92.9% 0.130 – 0.193 μmol/L 2.99 19.93 (4.16 – 95.41) Proximity 501-1000m 1.12 3.06 (0.86 – 10.86) Proximity to Historic Lead Industry Baseline: Proximity to historic industry >2500m Proximity 1001-2500m Non-significant categories 1.15 3.17 (1.03 – 9.73) Income <$60K 0.14 5.3% to 28.9% 0.105 – 0.129 μmol/L Household Income Baseline: Household Income $80K+ Income $60-<80K Non-significant category Gender Baseline: Females Males 0.09 1.3% to 19.3% 0.101 – 0.119 μmol/L 2-3 times per week 0.13 1.9% to 29.7% 0.102 – 0.130 μmol/L Weekly Frequency of Cleaning Floors Baseline: Clean floors daily Less than weekly Non-significant categories Non-significant Home Renovations Baseline: No home renovations in previous six months Home renovations Non-significant 0.136 0.56 1.77 (1.08 – 2.92) Combined Environmental Media (environmental sample N= 274 children) Dust lead levels 0.20 doubling dust lead levels: 4.7% to 18.9% doubling dust lead levels: 0.105 – 0.119 μmol/L Non-significant Tap water lead levels 0.18 doubling water lead levels 2.9% to 13.1% doubling water lead levels 0.103 – 0.113 μmol/L 0.63 1.88 (1.23 – 2.27) Child Gender Baseline: Females Males 0.13 2.1% to 27.9% 0.102 – 0.128 μmol/L Toddlers 0.15 0.9% to 40.1% 0.101 – 0.140 μmol/L Child Age Group Baseline: Preschoolers Infants Non-significant category Income <$60K 0.17 3.9% to 37.3% 0.104 – 0.137 μmol/L Household Income Baseline: Household Income $80K+ Income $60-<80K Non-significant category 0.183 Non-significant Univariate analyses found the relationships between the following sources and increased BLL to be statistically significant: o year of house construction (proxy for housing pipes/paint) o proximity to any known current or historic lead-emitting industry (proxy for industry emissions) Non-significant factors included: household member with lead-associated hobby or occupation, contact with potential lead containing objects (e.g. toys, etc. purchased outside of Canada or > 50 years old). The final multivariate model associating primary sources of environmental lead and various risk factors with children’s BLLs accounted for only a small proportion of the variance (14%). Significant predictors of BLLs (and consistent with other research) were: older housing stock, proximity to historical and current industry, household income, recent renovations, and male sex. Similarly, the measured intermediary sources of environmental lead (i.e. yard soil, tap water, household dust) were also statistically significant predictors of BLLs but accounted for a similarly small proportion of the variance in BLLs. Lead levels in yard soil, along with age of housing, appear to be a strong contributor to household dust lead levels. These analyses were exploratory, and the findings should be interpreted with caution given that the study was not designed to collect data for these types of analyses. Summary of significant predictors of blood lead levels * Interpretation note for Model Type 1: For example, in column 2 of Model Type 1 - if everyone was to move into housing that was constructed pre 1920, we would estimate that this would result in a corresponding 0.3% to 33.0% increase in BLLs (assuming all other variables remained constant). If a population mean BLL was 0.100 μmol/L prior to everyone moving, then it would likely rise to somewhere between 0.100 μmol/L and 0.133 μmol/L after everyone had moved (demonstrated in table column 3 of Model Type 1). Ranges are reported to take into account a 95% confidence interval around the original regression coefficient. ^ Interpretation notes for Odds Ratios (Column 2 in Model Type 2): Home Renovations - For those having implemented home renovations in the previous six months, there is a 77% increase in odds of being in the high blood lead category, all other factors being held constant. Tap Water – A one log unit increase in the water lead levels increases the odds of being in the high blood lead category by approximately 88%. The median water lead level is 4.00 ug/L (ln=1.38). If this is increased by one log unit which is equivalent to a water lead level of 10.8 ug/L (ln=2.38), then there is 88% increase in odds of being in the high blood lead category, all other factors being held constant. This middle category of proximity to plant (501-1000m) produced similar Beta and odds ratio, but was not found to be significant (p=0.084). This may be due to a smaller number of observations in this category. U PP E R J AMES ST U PP E R WELL IN G T O N S T H W Y4 0 3 HWY 403 QUEEN S T D U N D URN ST BA Y ST JA M ES S T JO H N S T ORK BV UPPE R O T T A W A S T U PP E R WENT W O RT HS T FENNELL AV CONCESS ON ST U PP E R G AG E AV LAWRENCE RD MAIN ST G A G E AV RE D HI L L V A L L E Y KING ST OT T A W A ST KEN IL WOR TH AV K NG ST VICTO RIA AV WENT WO RT HS T S HERMAN AV BARTON ST BURL NGTON ST P A R K D A L E A V BURLINGTON ST QEW H amilton H arbour ND - 29.8 1.0 - 2.3 ND - 12.1 ND - 25.2 ND - 6.4 ND - 8.8 ND - 5.3 ND - 12.0 ND - 40.1 ND - 21.7 ND - 20.6 1.3 - 12.4 U PP E R J AMES ST U PP E R WELL IN G T O N S T H W Y4 0 3 ORK BV JO H N S T D U N D URN ST BA Y ST JA M ES S T HWY 403 QUEEN S T UPPER OT T AW A S T U PP E R WENT W O RT HS T FENNELL AV CONCESS ON ST U PP E R G AG E AV LAWRENCE RD MAIN ST G A G E AV OT T A W A ST RE D HI L L V A L L E Y KEN IL W OR TH AV KING ST K NG ST BURLINGTON ST WENT WO RT H S T S HERMAN AV BARTON ST BURLINGTON ST P A R K D A L E A V VICTO RIA AV QEW H amilton H arbour 38 - 340 61 - 490 93 - 790 82 - 300 110 - 260 130 - 250 110 - 500 25 - 390 40 - 140 20 - 460 39 - 230 30 - 38 ND - 17.0 U PP E R J AMES ST U PP E R WELL IN G T O N S T H W Y4 0 3 YORK BV JO H N S T D U N D URN ST BA Y ST JA M ES S T HWY 403 QUEEN S T UPPER OT T AW A S T U PP E R WENT W O RT HS T FENNELL AV CONCESS ON ST U PP E R G AG E AV LAWRENCE RD MA N ST G A G E AV OT T A W A ST RE D HI L L V A L L E Y KEN L WOR TH AV KING ST KING ST WENT WO RT HS T V CTO RIA AV S HERMAN AV BARTON ST BURL NGTON ST P A R K D A L E A V BURLINGTON ST QEW H amilton H arbour ND - 12.0 1.6 - 19.0 0.6 - 17.0 1.1 - 2.5 ND - 15.0 ND - 13.0 0.5 - 18.0 ND - 28.0 Below detection limit (ND) - <50 50 - <100 100 - <150 150 - <200 200+ Below detection limit (ND) - <2.5 2.5 - <5.0 5.0 - <7.5 7.5 - <10.0 10.0+ Below detection limit (ND) - <2.5 2.5 - <5.0 5.0 - <7.5 7.5 - <10.0 10.0+ LEGEND Median soil lead (Pb μg/g dry) LEGEND Median water lead (μg/L) based on sampling from residences built prior to 1950 only, labelled with minimum and maximum values by quota sampling sub-area* LEGEND Median living room dust lead (μg/ft²) Escarpment Study area Escarpment Study area Escarpment Study area Map A: Tap Water Lead Levels 0 1 2 3 Kilometers Map B: Exposed Soil Lead Levels Map C: Living Room Dust Lead Levels 0 1 2 3 Kilometers 0 1 2 3 Kilometers *Note: Quota sampling sub-areas are aggregates of dissemination areas, based on homogeneity of the area characteristics related to lead exposure. Peripheral quota sampling sub-areas were cropped to more accurately reflect the location of residential housing. One extreme value of 109μg/ft² has been removed from the map. ND - 11.0 ND - 9.5 0.7 - 15.0 based on sampling from residences built prior to 1950 only, labelled with minimum and maximum values by quota sampling sub-area* based on sampling from residences built prior to 1950 only, labelled with minimum and maximum values by quota sampling sub-area* Geographic distribution of environmental lead sources across the study area was uneven; some neighbourhoods were characterized by relatively higher risks of multiple lead sources. Areas defined in the study as being proximal to lead-associated industry were also those that were long-established built environments re- taining historic risks from emissions from lead-based gasoline, lead-based paint, lead piping, and known and unknown industrial sources. Also, many of these areas were char- acterized by low socio-economic status. Proportion of blood lead levels at the study threshold level by neighbourhood Distribution of socio-demographic factors in study area Environmental sample median results by neighbourhood Dissemination area boundary files: Statistics Canada. 2007. Dissemination Areas, Hamilton CMA, 2006 Census (cartographic boundary file, gda_035b06a_e.zip). Statistics Canada Catalogue no. 92-169-XWE2006007. February 14. Dissemination area census profile data – Income, Education, Language, Immigration, Home Ownership (2006): Statistics Canada. 2007. Profile for Canada, Provinces, Territories, Census Divisions, Census Subdivisions and Dissemination Areas, 2006 Census File (ProfileCanada2006_HamiltonDA.IVT). 2006 Electronic Profiles. Map D: Prevalence of non-official language most often spoken at home Hamilton Harbour R J AM E S S T R W E LL N GTON S T H W Y 4 0 3 DU NDU R N ST HW Y 4 0 3 Q U EE N ST J OH NS T B A Y S T J AM E S S T YORK BV U P P E R O T T A WA S T E R W E NTW O RTH S T FENNELL AV CONCESSION ST U PPE R GAGE AV LAWRENCE RD MAIN ST GAG E AV E D H I LL V ALLE Y KING ST OT T AW A ST K EN I L WO R TH A V K NG ST W E N T W O R T H ST V I C T O R I A A V SH E R M A N A V BARTON ST BURLINGTON ST P A R K D A L EA V BURL NGTON ST QEW Escarpment Study area 00 10 20 km No data 20%+ < 5% 5 - < 20% Map A: Average household income before tax Hamilton Harbour R J AM E S S T R W E LL N GTON S T H W Y 4 0 3 DU NDU R N ST HW Y 4 0 3 Q U EE N ST J OH NS T B A Y S T J AM E S S T YORK BV U P P E R O T T A WA S T E R W E NTW O RTH S T FENNELL AV CONCESSION ST U PPE R GAGE AV LAWRENCE RD MAIN ST GAG E AV H LL V AL LE Y K NG ST OT T AW A ST K EN L W O R TH A V KING ST W E N T W O R T H ST V I C T O R I A A V SH E R M A N A V BARTON ST BURL NGTON ST P A R K D A L EA V BURLINGTON ST QEW > $60 000 $40 000 - $60 000 < $40 000 No data Escarpment Study area 00 10 20 km Map B: Prevalence of families below the low income cut-offs Hamilton Harbour R J AM E S S T R W E LL I N GTON S T H W Y 4 0 3 DU NDU R N ST HW Y 4 0 3 Q U EE N ST J OH NS T B A Y S T J AM E S S T YORK BV U P P E R O T T A WA S T E R W E NTW O RTH S T FENNELL AV CONCESSION ST U PPE R GAGE AV LAWRENCE RD MAIN ST GAG E AV D H LL VAL LE Y K NG ST OT T AW A ST K EN L W O R TH A V K NG ST W E N T W O R T H ST V I C T O R I A A V SH E R M A N A V BARTON ST BURLINGTON ST P A R K D A L EA V BURL NGTON ST QEW Escarpment Study area 00 10 20 km < 15% 15 - < 30% 30%+ No data Map C: Prevalence of recent immigrants Hamilton Harbour R J AM E S S T R W E LL I N GTON S T H W Y 4 0 3 DU NDU R N ST HW Y 4 0 3 Q U EE N ST J OH NS T B A Y S T J AM E S S T YORK BV U P P E R O T T A WA S T E R W E NTW O RTH S T FENNELL AV CONCESSION ST U PPE R GAGE AV LAWRENCE RD MAIN ST GAG E AV H I LL VAL LE Y KING ST OT T AW A ST K EN L W O R TH A V KING ST W E N T W O R T H ST V I C T O R A A V SH E R M A N A V BARTON ST BURL NGTON ST P A R K D A L EA V BURLINGTON ST QEW Escarpment Study area 00 10 20 km 5%+ < 5% No data Map E: Proportion of individuals aged 25 to 64 years without post secondary education Hamilton Harbour R J AM E S S T R W E LL N GTON S T H W Y 4 0 3 DU NDU R N ST HW Y 4 0 3 Q U EE N ST J OH NS T B A Y S T J AM E S S T YORK BV U P P E R O T T A WA S T E R W E NTW O RTH S T FENNELL AV CONCESSION ST U PPE R GAGE AV LAWRENCE RD MAIN ST GAG E AV LL V ALLE Y KING ST OT T AW A ST K EN L W O R TH A V KING ST W E N T W O R T H ST V I C T O R I A A V SH E R M A N A V BARTON ST BURL NGTON ST P A R K D A L EA V BURLINGTON ST QEW Escarpment Study area 00 10 20 km No data < 50% 50 - < 75% 75%+ Map F: Prevalence of rental dwellings Hamilton Harbour R J AM E S S T R W E LL N GTON S T H W Y 4 0 3 DU NDU R N ST HW Y 4 0 3 Q U EE N ST J OH NS T B A Y S T J AM E S S T YORK BV U P P E R O T T A WA S T E R W E NTW O RTH S T FENNELL AV CONCESS ON ST U PPE R GAGE AV LAWRENCE RD MA N ST GAG E AV D H LL V AL LE Y K NG ST OT T AW A ST K EN I L W O R TH A V K NG ST W E N T W O R T H ST V C T O R I A A V SH E R M A N A V BARTON ST BURLINGTON ST P A R K D A L EA V BURL NGTON ST QEW Escarpment Study area 00 10 20 km No data 65%+ < 20% 20 - < 65% Note: Areas displayed by dissemination area from Statistics Canada 2006. Peripheral dissemination areas were cropped to more accurately reflect the location of residential housing. U PP E R J A M ES S T U PP E R W E LL IN G T O N S T H W Y 4 0 3 H W Y4 0 3 QU EEN S T D U N D U R N S T B A Y ST J A M E SS T J O H N S T YORK BV MOH AWK RD UP PE R O T T A W A S T U PP E R W E N T W O RT H S T FENN E LL A V CONCESSION ST U PP E R G A G E A V LAWRENCE RD MAIN ST G A G E AV R E D HI L L V A L L E Y KING ST O T T A W A S T K E N IL W OR TH A V KI NG ST W E N T W O RT H S T V I C T O RIA A V S HE RM A N A V BARTON ST BURLINGT ON ST P A R K D A L E A V BURLINGT O N S T QEW Ham ilton Harb our 0 1 2 3 Kilometers *Note: Neighbourhood zones are aggregates of dissemination areas, based on homogeneity of neighbourhood characteristics related to lead Escarpment Study area Proportion of children with capillary blood lead levels above the study threshold level by neighbourhood zone* 0 - <10% 10 - <20% 20 - <30% 30 - <40% 40 - <50% exposure. Peripheral neibourhood zones were cropped to more accurately reflect the location of residential housing. Participation: Overall participation was 7.2%; relatively lower among neighbourhoods characterized by low income, new immigrants and households speaking non-official languages. The lower participation rates from these more at-risk groups may have resulted in a slightly lower estimate of overall BLLs. Recruitment of a quota based sub-sample of households for environmental sampling was not obtained. Samples Achieved capillary blood sample = 643 children risk factor survey = 406 households; 580 children environmental sampling of yard soil, household dust and tap water = 196 households; 281 children Distribution of blood lead levels in study area Health Canada Guidance Value (0.48umol/L) 0 20 40 60 80 100 Frequency 0 .2 .4 .6 .8 1 Capillary Blood Lead Level (umol/L) Distribution and prevalence of BLLs in North Hamilton: Geometric mean for BLLs was 0.107 µmol/L with 0.9% of children (n=6) with capillary BLLs above the Health Canada guidance value of 0.48 µmol/L. Distribution of BLLs was highly positively skewed. Despite small differences between male and female children and the different age groups examined, none of these were statistically significant. Comparisons to other jurisdictions: The study’s geometric mean BLL was similar but slightly higher than data from a US national study for children 1 - 5 years of age (0.107 µmol/L North Hamilton vs. 0.073 µmol/L US population); proportions of children ≥ the current Health Canada guidance value were very similar (both 0.9%). The mean and proportion above this guidance value within this study is lower than some studies involving point-source exposures. RESULTS Primary sources of environmental lead: Older housing was a main study area population characteristic; the vast majority of families lived in housing constructed prior to 1945 (84%), a period during which paints and water delivery systems typically contained substantial amounts of lead. A significant proportion of households reported: o deteriorated or flaking interior painted surfaces (45%) o home renovations in previous 6 months (40%) o using tap water for drinking or cooking (96%) o children having exposure to toys/jewellery purchased outide of Canada (~30%) o member with lead-associated hobby/occupation (~ 20%) Note: Lead from historical vehicle emissions were not measured in this study. Factors that influence deposition of lead from primary to intermediate sources or the uptake of lead from the environment: In general, a large proportion of families reported practicing lead-reduction behaviours such as: o shoe removal before home entry at least half of the time (84%) o washing of child’s hands before eating (71% at least half of the time) o cleaning of floors once a week or more (89%), most often with a wet mop On the other hand, many households (38%) had indoor/outdoor pets, about 15% of children were often exposed to soil and almost 20% of children were observed eating soil in the previous year. Although 14% of children were observed picking at paint chips, very few were observed eating these chips. Awareness of “Get the Lead Out” campaign: One-half (52%) of participant households were aware of the free water service pipe inspection. Levels of awareness were somewhat lower among those with low household incomes, tenants in rented accommodations, those who did not speak either English or French at home, and households where no adults had a post-secondary education. Study design: This was a non-random, self-selected cross-sectional survey of child capillary blood samples, a household risk factor phone in- terview and a quota-based sub-sample of households for sam- pling of yard soil, household dust and tap water. o Ethics approval by McMaster University ethics board (HHS/FHS REB) o Study inclusion criteria – children < 7 years of age who had lived in the study area for at least 3 months Recruitment: Conducted an extensive public awareness campaign (e.g. media, community organizations and networks). Data Collection: o Capillary blood collection at 60 mobile clinics o Phone interviews with parents/guardians o Sampling at residential properties o Secondary data sources - 2006 Statistics Canada Census Community Profile - 2008 Ministry of Environment Air Sampling Program - 2007/08 City of Hamilton Hydrant Water Sampling Program - 2008 Municipal Property Assessment Corporation Database o Variable validation – Concept map developed a priori depicting main theoretical constructs and hypotheses Participant Follow-up: o Parents/guardians (+/– family physicians) provided with their child’s BLL result o Children whose BLL was ≥ 0.19 µmol/L (the study threshold level) underwent venous retesting Venous BLL ≥ 0.19 µmol/L, child referred to study paediatrician; home visit by public health was offered Hematocrit and/or hemoglobin not within normal limits, child referred to family physician Descriptive analyses: Included central tendencies, frequencies, cross-tabulations and geographic display using unweighted and non-transformed data. o Post-weighting adjustments – 17 geographically contiguous “neighbourhoods” created a priori; weights assigned by neighborhood participation rates. Impact of weighting on the outcome variable was minimal o Capillary blood sample values below the limit of detection (LOD) (0.05 µmol/L) – used the substitution method of LOD/√2 o Distribution of BLLs – not normally distributed. Log- transformation of BLLs improved the fit but statistically significant differences remained o Outliers – one living room dust value was removed o Missing data – some measures considered invalid o Non-random and non-independent samples – neighbour- hood weighting and jack-knifing procedures were used to test the sensitivity of the findings Multivariate analyses: o Models were guided by the hypothesized associations depicted in the concept map o Used study threshold level to ensure sufficient sample size o Final models were developed using log-transformed values for BLLs and environmental lead levels for the water, soil and dust levels o Continuous predictor variables were converted to categorical variables if it significantly improved the model fit METHODS This study proposed to investigate blood lead levels (BLLs) of children living in an area of North Hamilton with increased theoretical risk of environmental lead exposure due to old housing stock, aging water delivery infrastructure, and historic and current transportation and industrial activities that emit lead. Study results would provide the distribution of BLLs among children living in the study area and a baseline estimate of the number of children that are above the Health Canada guidance value for blood lead (0.48 µmol/L, or 10 μg/dL). The study also sought to explore and identify potential risk factors associated with BLLs. BACKGROUND NORTH HAMILTON CHILD BLOOD LEAD STUDY 2008 - 2009 Location of the study area within the City of Hamilton with theoretical risks Elizabeth Richardson, MD, MHSc, FRCPC, Medical Officer of Health Wendy Pigott, MHSc, BScN, RN, Epidemiologist Carole Craig, MSc, DVM, BSc, Epidemiologist Matthew Lawson, BSc, BASc, CPHI (C), Manager, Environmental Health Chris Mackie, MD, CCFP, FRCPC, Associate Medical Officer of Health Full Public Health Report: North Hamilton Child Blood Lead Study, September 2011, City of Hamilton Public Health Services. UPPE R JAM E SS T UPPE RW E L LI NGT ON ST HW Y 4 0 3 HW Y 403 QUE E N ST DUNDUR N ST B A Y ST JA M ES S T J O HN ST YORK BV MOHAWK RD U P P E R O TTAW AS T UPPE RW E N TW OR TH S T FENNELL AV CONCESSION ST UPPE R GA GE AV LAWRENCE RD MAIN ST GAGE AV R E D HIL L VA L L E Y KING ST OTTA WA S T K ENILW O RTH A V I K NG ST VI C TOR I A AV W E NTW OR TH ST S H ER M AN A V BARTON ST BURLINGTON ST PA R KD A LE A V BURLINGTON ST QEW Hamilton Harbour 3 2 1 0 Kilometers Lake Ontario 0 4 8 12 Kilometers The City of HAMILTON Study Area C 1975 - 2006 1945 - 1974 1920 - 1944 1900 - 1919 <1900 Escarpment LEGEND Note: Peripheral census dissemination blocks were cropped to more accurately reflect the location of residential housing. * Includes historical metal recycling plants. Average age of residential housing by dissemination block from Statistics Canada 2006 Distance proximity zones Lead-associated industries Lead-associated metal recycling plants* Study area Downtown C

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  • Disclaimer: All information provided is believed to be accurate and reliable. We will make changes, updates and deletions as required and make every effort to ensure the accuracy and quality of the information provided. However, the City of Hamilton assumes no responsibility for any errors and are not liable for any damages of any kind resulting from the use of, or reliance on, the information contained herein. Individual layer values were provided by Hamilton’s Public Health Services and Information Services. COPYRIGHT 2012 The City of Hamilton. Produced by Business Applications, Information Services. Printed June 19, 2012. May not be reproduced without permission. THIS IS NOT A PLAN OF SURVEY

    Hamilton

    MOVING FORWARD• Lead exposure information provided to at-risk families through PH Nurses providing home visits to new mothers• Lead exposure prevention strategies shared through community information sessions at daycares, Ontario Early Years Centres, and Parenting & Family Literacy Centres• Distribution of water filters for lead to at-risk families participating in the home visitation program offered by PH Nurses

    Hamilton Public Health Services has begun developing inter-ventions that will seek to inform families at risk and provide strategies to reduce their risk of exposure to environmental lead:

    • Communication of study results/education strategy aimed at community physicians• Home risk assessments performed by PH Inspectors available in response to a physician request re: a child with a BLL of concern

    ACKNOWLEDGMENTSWe recognize and express our gratitude to Dr. Lesbia Smith and Robert Kusiak of EOHP Plus Inc., Dr. Celine Pinsent and Tim Dugas of Goss Gilroy, Inc., and Aimei Fan (Health Analyst) and Erin Van Driel (GIS Technologist) of the City of Hamilton Public Health Services for their substantial contributions to this report. Thanks to Erin Van Driel and Shane Thombs (GIS Tech-nologist) for their assistance in preparation of the poster.

    Blood lead levels in Hamilton children: A small proportion of Hamilton children are being exposed at levels that require interventions at an individual, clinical level. We believe the findings generally reflect the BLLs of the study area population but the lower participation rates among the more at-risk groups may have resulted in a slight underestimate of the overall BLL.

    Public health promotional material and follow-up: Results suggest a substantial audience exists for promotional materials about reducing lead exposure and lead-exposure re-duction services will be well received in this community. Variation in awareness levels with other markers of SES sup-ports the use of targeted approaches.

    Potential lead exposure sources and risks: The study area represented the highest theoretical risk to lead exposure within the City of Hamilton; study results show this population to be at some risk (i.e. older housing stock; long-standing lead-emitting industry, historic roadways, low SES, recent immigration, rental housing, an unofficial language spoken at home and demonstrated presence of environmen-tal lead). High proportions of families living in housing built pre-1945 indicate that awareness of lead exposure risks from home renovations in older housing stock is an important component for public health lead exposure interventions in Hamilton.

    Mitigating factors: Many families in the study area were already engaged in miti-gating practices; promotional activities should continue to en-courage such behaviours.

    Complexity and neighbourhood effects: BLLs varied across the study area to some extent, consistent with the pat-tern seen in risk factors, socio-economic markers and envi-

    CONCLUSIONSronmental lead levels. In the analyses of association, these potential predictors of BLLs were intertwined to the extent that it was challenging to disentangle contributions to BLLs and intermediary sources.

    Research demonstrates that elevated BLLs are usually found among lower socioeconomic groups and minorities who are more likely to live in older housing that is in poor repair. The importance of social determinants of health on a child’s BLL is supported by the positive association between low house-hold income and BLL.

    This study’s measure of industry emissions was a proxy mea-sure that may reflect long-established, urban neighbourhoods that are also adjacent to long-established lead-emitting indus-try with unmeasured risk from multiple sources. This factor demonstrated a significant and strong association with BLLs. Such areas are therefore of particular importance to public health lead exposure reduction strategies.

    Results suggest the need for a multi-pronged col-laborative approach to environmental lead expo-sure reduction, involving disciplines/programs within public health, local physicians serving iden-tified populations at risk, and community stake-holders involved in neighborhood development strategies.

    The City of Hamilton Board of Health approved a collaboration with stakeholders to deliver an envi-ronmental lead awareness program and to reduce exposure to environmental lead for children under age 7 and women of child-bearing age.

    Non-random samples – Random sample not achieved. We had a plan to rapidly convert design to a convenience sample.

    Sample not representative of study area – Families from higher SES and located furthest from industry were more likely to participate. Engaging at-risk populations challeng-ing.

    Poor quality of some measures – Questions such as presence of filters on drinking water tap, food security, were dropped from analyses. Needed redundant measures.

    Housing infrastructure questions were a challenge – Many respondents were unaware, especially renters, re: types of water pipes and housing age. Collect instead via inspection?

    Public Health Unit implementation of large re-search studies – Difficult to balance regular duties with study demands resulting in study delays and heavy workloads. Greater collaboration with local university would have helped.

    Chose objectives conservatively – Bulk of resources was spent on cleansing of data, analyses, interpretation and report writing for secondary objectives for which the study design was not ideal. Effective use of recruitment resources – Aggressive recruitment procedures netted little difference in participation rates. Extra telephone recruitment was expensive and ineffective.

    CHALLENGES & SUCCESSESImportance of community communications – Suc-cessfully recruited a relatively large number of children within study; engaged media, community organizations and net-works.

    Benefits of having access to various data sources – Strengthened study findings; helpful in defining study area population, understanding relevant resident and environmen-tal characteristics and provide proxy measures in lieu of more expensive direct measures. Importance of having PH team and medical referral structure in place a priori – Clinical follow-up was com-plex; this optimized client services. Single lab used for venous retests created efficiencies.

    Benefits of having multiple stakeholders involved in the study – provision of study resources (e.g. staff, diagnos-tic testing, expert advice, clinical services, mapping, clinic space, environmental sample collection, report writing and analysis) and enrichment of available data sources.

    Access to research funding/political support – Fund-ing via the PHRED Program; bolstered by political support received by local Board of Health. Generous in-kind re-sources also provided by Ontario Ministry of the Environ-ment, Ontario Public Health Laboratory, and the City of Hamilton.

    Model Type 1: Relationships between lead sources and BLLs (µmol/L)

    Model Type 2: Lead sources and study follow-up BLLs ≥ 0.19 µmol/L Statistically significant predictor

    variables Beta

    Estimated % change in BLL

    (95% CI)*

    Estimated impact on population mean of

    0.100 µmol/L * R2 Beta

    Odds Ratio (95% CI) ^

    Primary Source Model (interview sample N=580 children)

    Constructed pre 1920 0.15 0.3% to 33.0% 0.100 – 0.133 µmol/L Age of Housing Baseline: House construction date post 1944 Constructed 1920-44 Non-significant category

    Non-significant

    Proximity 0-500m 0.17 30.1% to 92.9% 0.130 – 0.193 µmol/L 2.99 19.93 (4.16 – 95.41)

    Proximity 501-1000m 1.12 ♣ 3.06 (0.86 – 10.86)

    Proximity to Historic Lead Industry Baseline: Proximity to historic industry >2500m Proximity 1001-2500m

    Non-significant categories 1.15 3.17 (1.03 – 9.73)

    Income