儿童早期铅暴露与北卡罗来纳州公立学校四年级学生标准化考试成绩之间关系的空间变异性(2013-2016 年)》(Spatial Variability in Relationships between Early Childhood Lead Exposure and Standardized Test Scores in Fourth Grade North Carolina Public School Students (2013-2016))。

IF 10.1 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Environmental Health Perspectives Pub Date : 2024-09-01 Epub Date: 2024-09-03 DOI:10.1289/EHP13898
Mercedes A Bravo, Daniel R Kowal, Dominique Zephyr, Joseph Feldman, Katherine Ensor, Marie Lynn Miranda
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The extent to which the association between lead exposure and elementary school academic outcomes varies across geography is not known.</p><p><strong>Objective: </strong>Estimate associations between blood lead levels (BLLs) and fourth grade standardized test scores in reading and mathematics in North Carolina using models that allow associations between BLL and test scores to vary spatially across communities.</p><p><strong>Methods: </strong>We link geocoded, individual-level, standardized test score data for North Carolina public school students in fourth grade (2013-2016) with detailed birth records and blood lead testing data retrieved from the North Carolina childhood blood lead state registry on samples typically collected at 1-6 y of age. BLLs were categorized as: <math><mrow><mn>1</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math> (reference), <math><mrow><mn>2</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math>, <math><mrow><mn>3</mn><mo>-</mo><mn>4</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math> and <math><mrow><mo>≥</mo><mn>5</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math>. We then fit spatially varying coefficient models that incorporate information sharing (smoothness), across neighboring communities via a Gaussian Markov random field to provide a global estimate of the association between BLL and test scores, as well as census tract-specific estimates (i.e., spatial coefficients). Models adjusted for maternal- and child-level covariates and were fit separately for reading and math.</p><p><strong>Results: </strong>The average BLL across the 91,706 individuals in the analysis dataset was <math><mrow><mn>2.84</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math>. Individuals were distributed across 2,002 (out of 2,195) census tracts in North Carolina. In models adjusting for child sex, birth weight percentile for gestational age, and Medicaid participation as well as maternal race/ethnicity, educational attainment, marital status, and tobacco use, BLLs of <math><mrow><mn>2</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math>, <math><mrow><mn>3</mn><mo>-</mo><mn>4</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math> and <math><mrow><mo>≥</mo><mn>5</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math> were associated with overall lower reading test scores of <math><mrow><mo>-</mo><mn>0.28</mn></mrow></math> [95% confidence interval (CI): <math><mrow><mo>-</mo><mn>0.43</mn></mrow></math>, <math><mrow><mo>-</mo><mn>0.12</mn></mrow></math>], <math><mrow><mo>-</mo><mn>0.53</mn></mrow></math> (<math><mrow><mo>-</mo><mn>0.69</mn></mrow></math>, <math><mrow><mo>-</mo><mn>0.38</mn></mrow></math>), and <math><mrow><mo>-</mo><mn>0.79</mn></mrow></math> (<math><mrow><mo>-</mo><mn>0.99</mn></mrow></math>, <math><mrow><mo>-</mo><mn>0.604</mn></mrow></math>), respectively. For BLLs of <math><mrow><mn>1</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math>, <math><mrow><mn>2</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math>, <math><mrow><mn>3</mn><mo>-</mo><mn>4</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math> and <math><mrow><mo>≥</mo><mn>5</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math>, spatial coefficients-that is, tract-specific adjustments in reading test score relative to the \"global\" coefficient-ranged from <math><mrow><mo>-</mo><mn>9.70</mn></mrow></math> to 2.52, <math><mrow><mo>-</mo><mn>3.19</mn></mrow></math> to 3.90, <math><mrow><mo>-</mo><mn>11.14</mn></mrow></math> to 7.85, and <math><mrow><mo>-</mo><mn>4.73</mn></mrow></math> to 4.33, respectively. Results for mathematics were similar to those for reading.</p><p><strong>Conclusion: </strong>The association between lead exposure and reading and mathematics test scores exhibits considerable heterogeneity across North Carolina communities. These results emphasize the need for prevention and mitigation efforts with respect to lead exposures everywhere, with special attention to locations where the cognitive impact is elevated. https://doi.org/10.1289/EHP13898.</p>","PeriodicalId":11862,"journal":{"name":"Environmental Health Perspectives","volume":"132 9","pages":"97003"},"PeriodicalIF":10.1000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11370994/pdf/","citationCount":"0","resultStr":"{\"title\":\"Spatial Variability in Relationships between Early Childhood Lead Exposure and Standardized Test Scores in Fourth Grade North Carolina Public School Students (2013-2016).\",\"authors\":\"Mercedes A Bravo, Daniel R Kowal, Dominique Zephyr, Joseph Feldman, Katherine Ensor, Marie Lynn Miranda\",\"doi\":\"10.1289/EHP13898\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Exposure to lead during childhood is detrimental to children's health. The extent to which the association between lead exposure and elementary school academic outcomes varies across geography is not known.</p><p><strong>Objective: </strong>Estimate associations between blood lead levels (BLLs) and fourth grade standardized test scores in reading and mathematics in North Carolina using models that allow associations between BLL and test scores to vary spatially across communities.</p><p><strong>Methods: </strong>We link geocoded, individual-level, standardized test score data for North Carolina public school students in fourth grade (2013-2016) with detailed birth records and blood lead testing data retrieved from the North Carolina childhood blood lead state registry on samples typically collected at 1-6 y of age. BLLs were categorized as: <math><mrow><mn>1</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math> (reference), <math><mrow><mn>2</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math>, <math><mrow><mn>3</mn><mo>-</mo><mn>4</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math> and <math><mrow><mo>≥</mo><mn>5</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math>. We then fit spatially varying coefficient models that incorporate information sharing (smoothness), across neighboring communities via a Gaussian Markov random field to provide a global estimate of the association between BLL and test scores, as well as census tract-specific estimates (i.e., spatial coefficients). Models adjusted for maternal- and child-level covariates and were fit separately for reading and math.</p><p><strong>Results: </strong>The average BLL across the 91,706 individuals in the analysis dataset was <math><mrow><mn>2.84</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math>. Individuals were distributed across 2,002 (out of 2,195) census tracts in North Carolina. In models adjusting for child sex, birth weight percentile for gestational age, and Medicaid participation as well as maternal race/ethnicity, educational attainment, marital status, and tobacco use, BLLs of <math><mrow><mn>2</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math>, <math><mrow><mn>3</mn><mo>-</mo><mn>4</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math> and <math><mrow><mo>≥</mo><mn>5</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math> were associated with overall lower reading test scores of <math><mrow><mo>-</mo><mn>0.28</mn></mrow></math> [95% confidence interval (CI): <math><mrow><mo>-</mo><mn>0.43</mn></mrow></math>, <math><mrow><mo>-</mo><mn>0.12</mn></mrow></math>], <math><mrow><mo>-</mo><mn>0.53</mn></mrow></math> (<math><mrow><mo>-</mo><mn>0.69</mn></mrow></math>, <math><mrow><mo>-</mo><mn>0.38</mn></mrow></math>), and <math><mrow><mo>-</mo><mn>0.79</mn></mrow></math> (<math><mrow><mo>-</mo><mn>0.99</mn></mrow></math>, <math><mrow><mo>-</mo><mn>0.604</mn></mrow></math>), respectively. For BLLs of <math><mrow><mn>1</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math>, <math><mrow><mn>2</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math>, <math><mrow><mn>3</mn><mo>-</mo><mn>4</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math> and <math><mrow><mo>≥</mo><mn>5</mn><mspace></mspace><mi>μ</mi><mi>g</mi><mo>/</mo><mtext>dL</mtext></mrow></math>, spatial coefficients-that is, tract-specific adjustments in reading test score relative to the \\\"global\\\" coefficient-ranged from <math><mrow><mo>-</mo><mn>9.70</mn></mrow></math> to 2.52, <math><mrow><mo>-</mo><mn>3.19</mn></mrow></math> to 3.90, <math><mrow><mo>-</mo><mn>11.14</mn></mrow></math> to 7.85, and <math><mrow><mo>-</mo><mn>4.73</mn></mrow></math> to 4.33, respectively. Results for mathematics were similar to those for reading.</p><p><strong>Conclusion: </strong>The association between lead exposure and reading and mathematics test scores exhibits considerable heterogeneity across North Carolina communities. 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引用次数: 0

摘要

背景:儿童时期接触铅有害儿童健康。铅暴露与小学学业成绩之间的关联在多大程度上因地域而异尚无定论:使用允许血铅含量(BLL)与考试成绩之间的关联在不同社区间存在空间差异的模型,估算北卡罗来纳州血铅含量(BLL)与四年级阅读和数学标准化考试成绩之间的关联:我们将北卡罗来纳州公立学校四年级学生(2013-2016 年)的地理编码、个人水平、标准化考试成绩数据与详细的出生记录以及从北卡罗来纳州儿童血铅国家登记处检索到的血铅检测数据(通常在 1-6 岁时采集样本)联系起来。血铅含量分为1μg/dL(参考值)、2μg/dL、3-4μg/dL 和 ≥5μg/dL。然后,我们通过高斯马尔科夫随机场拟合了空间变化系数模型,其中包含了相邻社区间的信息共享(平滑性),以提供 BLL 与测试成绩之间关联的总体估计值以及特定人口普查区的估计值(即空间系数)。模型对母亲和儿童层面的协变量进行了调整,并分别对阅读和数学进行了拟合:分析数据集中 91 706 人的平均血清胆固醇水平为 2.84μg/dL。这些人分布在北卡罗来纳州的 2,002 个(共 2,195 个)人口普查区。在对儿童性别、胎龄出生体重百分位数、医疗补助参与情况以及母亲种族/民族、教育程度、婚姻状况和吸烟情况进行调整后的模型中,BLL 值为 2μg/dL、3-4μg/dL 和 ≥5μg/dL 与阅读测试总分较低的相关性分别为-0.28 [95% 置信区间 (CI):-0.43, -0.12]、-0.53 (-0.69, -0.38)和-0.79 (-0.99, -0.604)。当 BLL 值为 1μg/dL、2μg/dL、3-4μg/dL 和≥5μg/dL 时,空间系数--即相对于 "总体 "系数的特定区域阅读测试得分调整系数--分别为-9.70 至 2.52、-3.19 至 3.90、-11.14 至 7.85 和-4.73 至 4.33。数学的结果与阅读的结果相似:结论:在北卡罗来纳州的各个社区,铅暴露与阅读和数学考试成绩之间的关系表现出相当大的异质性。这些结果表明,有必要在各地开展铅暴露预防和缓解工作,并特别关注对认知影响较大的地区。https://doi.org/10.1289/EHP13898。
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Spatial Variability in Relationships between Early Childhood Lead Exposure and Standardized Test Scores in Fourth Grade North Carolina Public School Students (2013-2016).

Background: Exposure to lead during childhood is detrimental to children's health. The extent to which the association between lead exposure and elementary school academic outcomes varies across geography is not known.

Objective: Estimate associations between blood lead levels (BLLs) and fourth grade standardized test scores in reading and mathematics in North Carolina using models that allow associations between BLL and test scores to vary spatially across communities.

Methods: We link geocoded, individual-level, standardized test score data for North Carolina public school students in fourth grade (2013-2016) with detailed birth records and blood lead testing data retrieved from the North Carolina childhood blood lead state registry on samples typically collected at 1-6 y of age. BLLs were categorized as: 1μg/dL (reference), 2μg/dL, 3-4μg/dL and 5μg/dL. We then fit spatially varying coefficient models that incorporate information sharing (smoothness), across neighboring communities via a Gaussian Markov random field to provide a global estimate of the association between BLL and test scores, as well as census tract-specific estimates (i.e., spatial coefficients). Models adjusted for maternal- and child-level covariates and were fit separately for reading and math.

Results: The average BLL across the 91,706 individuals in the analysis dataset was 2.84μg/dL. Individuals were distributed across 2,002 (out of 2,195) census tracts in North Carolina. In models adjusting for child sex, birth weight percentile for gestational age, and Medicaid participation as well as maternal race/ethnicity, educational attainment, marital status, and tobacco use, BLLs of 2μg/dL, 3-4μg/dL and 5μg/dL were associated with overall lower reading test scores of -0.28 [95% confidence interval (CI): -0.43, -0.12], -0.53 (-0.69, -0.38), and -0.79 (-0.99, -0.604), respectively. For BLLs of 1μg/dL, 2μg/dL, 3-4μg/dL and 5μg/dL, spatial coefficients-that is, tract-specific adjustments in reading test score relative to the "global" coefficient-ranged from -9.70 to 2.52, -3.19 to 3.90, -11.14 to 7.85, and -4.73 to 4.33, respectively. Results for mathematics were similar to those for reading.

Conclusion: The association between lead exposure and reading and mathematics test scores exhibits considerable heterogeneity across North Carolina communities. These results emphasize the need for prevention and mitigation efforts with respect to lead exposures everywhere, with special attention to locations where the cognitive impact is elevated. https://doi.org/10.1289/EHP13898.

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来源期刊
Environmental Health Perspectives
Environmental Health Perspectives 环境科学-公共卫生、环境卫生与职业卫生
CiteScore
14.40
自引率
2.90%
发文量
388
审稿时长
6 months
期刊介绍: Environmental Health Perspectives (EHP) is a monthly peer-reviewed journal supported by the National Institute of Environmental Health Sciences, part of the National Institutes of Health under the U.S. Department of Health and Human Services. Its mission is to facilitate discussions on the connections between the environment and human health by publishing top-notch research and news. EHP ranks third in Public, Environmental, and Occupational Health, fourth in Toxicology, and fifth in Environmental Sciences.
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