Evidence map›Paper›PMID 33201203›Full record

ArticleJAMA2020

Association of Childhood Lead Exposure With MRI Measurements of Structural Brain Integrity in Midlife.

Aaron Reuben, Maxwell L Elliott, Wickliffe C Abraham, Jonathan Broadbent, Renate M Houts, David Ireland, Annchen R Knodt, Richie Poulton, Sandhya Ramrakha, Ahmad R Hariri and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in JAMA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 68 citations in OpenAlex.

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  11. Racial and ethnic socioenvironmental inequity and neuroimaging in psychiatry: a brief review of the past and recommendations for the future.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 4 countries.

Aaron ReubenDepartment of Psychology and Neuroscience, Duke University, Durham, North Carolina.
Maxwell L ElliottDepartment of Psychology and Neuroscience, Duke University, Durham, North Carolina.
Wickliffe C AbrahamBrain Health Research Centre, Brain Research New Zealand, Department of Psychology, University of Otago, Dunedin, New Zealand.
Jonathan BroadbentSir John Walsh Research Institute, Faculty of Dentistry, University of Otago, Dunedin, New Zealand.
Renate M HoutsDepartment of Psychology and Neuroscience, Duke University, Durham, North Carolina.
David IrelandDunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand.
Annchen R KnodtDepartment of Psychology and Neuroscience, Duke University, Durham, North Carolina.
Richie PoultonDunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand.
Sandhya RamrakhaDunedin Multidisciplinary Health and Development Research Unit, Department of Psychology, University of Otago, Dunedin, New Zealand.
Ahmad R HaririDepartment of Psychology and Neuroscience, Duke University, Durham, North Carolina.
Avshalom CaspiDepartment of Psychology and Neuroscience, Duke University, Durham, North Carolina.
Terrie E MoffittDepartment of Psychology and Neuroscience, Duke University, Durham, North Carolina.
Duke University · USUniversity of Otago · NZKing's College London · GB

Funding

Quantifying Individual Differences in Midlife Structural Brain Integrity Associated with Later AD/ADRD RiskR01AG049789 · NIA · DUKE UNIVERSITY · PI AHMAD R. HARIRI, TERRIE E MOFFITT · 2015 to 2026
$10.6M
Is mental disorder a preventable cause of age-related disease? The Dunedin Study.R01AG032282 · NIA · DUKE UNIVERSITY · PI CASPI, AVSHALOM, MOFFITT, TERRIE E · 2009 to 2025
$9.5M
Science CoreP2CHD065563 · NICHD · DUKE UNIVERSITY · PI James Moody · 2015 to 2026
$5.7M
Medical Research Council MR/P005918/1NIA NIH HHS R01 AG032282NIA NIH HHS R01 AG049789NICHD NIH HHS P2C HD065563
6 · The paper itself

Abstract

Importance: Childhood lead exposure has been linked to disrupted brain development, but long-term consequences for structural brain integrity are unknown. Objective: To test the hypothesis that childhood lead exposure is associated with magnetic resonance imaging (MRI) measurements of lower structural integrity of the brain in midlife. Design, Setting, and Participants: The Dunedin Study followed a population-representative 1972-1973 birth cohort in New Zealand (N = 564 analytic sample) to age 45 years (until April 2019). Exposures: Childhood blood lead levels measured at age 11 years. Main Outcomes and Measures: Structural brain integrity at age 45 years assessed via MRI (primary outcomes): gray matter (cortical thickness, surface area, hippocampal volume), white matter (white matter hyperintensities, fractional anisotropy [theoretical range, 0 {diffusion is perfectly isotropic} to 100 {diffusion is perfectly anisotropic}]), and the Brain Age Gap Estimation (BrainAGE), a composite index of the gap between chronological age and a machine learning algorithm-estimated brain age (0 indicates a brain age equivalent to chronological age; positive and negative values represent an older and younger brain age, respectively). Cognitive function at age 45 years was assessed objectively via the Wechsler Adult Intelligence Scale IV (IQ range, 40-160, standardized to a mean of 100 [SD, 15]) and subjectively via informant and self-reports (z-score units; scale mean, 0 [SD, 1]). Results: Of 1037 original participants, 997 were alive at age 45 years, of whom 564 (57%) had received lead testing at age 11 years (302 [54%] male) (median follow-up, 34 [interquartile range, 33.7-34.7] years). Mean blood lead level at age 11 years was 10.99 (SD, 4.63) μg/dL. After adjusting for covariates, each 5-μg/dL higher childhood blood lead level was significantly associated with 1.19-cm2 smaller cortical surface area (95% CI, -2.35 to -0.02 cm2; P = .05), 0.10-cm3 smaller hippocampal volume (95% CI, -0.17 to -0.03 cm3; P = .006), lower global fractional anisotropy (b = -0.12; 95% CI, -0.24 to -0.01; P = .04), and a BrainAGE index 0.77 years older (95% CI, 0.02-1.51 years; P = .05) at age 45 years. There were no statistically significant associations between blood lead level and log-transformed white matter hyperintensity volume (b = 0.05 log mm3; 95% CI, -0.02 to 0.13 log mm3; P = .17) or mean cortical thickness (b = -0.004 mm; 95% CI, -0.012 to 0.004 mm; P = .39). Each 5-μg/dL higher childhood blood lead level was significantly associated with a 2.07-point lower IQ score at age 45 years (95% CI, -3.39 to -0.74; P = .002) and a 0.12-point higher score on informant-rated cognitive problems (95% CI, 0.01-0.23; P = .03). There was no statistically significant association between childhood blood lead levels and self-reported cognitive problems (b = -0.02 points; 95% CI, -0.10 to 0.07; P = .68). Conclusions and Relevance: In this longitudinal cohort study with a median 34-year follow-up, higher childhood blood lead level was associated with differences in some MRI measures of brain structure that suggested lower structural brain integrity in midlife. Because of the large number of statistical comparisons, some findings may represent type I error.

Indexed as

Magnetic Resonance ImagingBrainChildCognitionFemaleHumansLeadLongitudinal StudiesMachine LearningMaleMiddle AgedWechsler ScalesLead

Identifiers

PMID33201203
PMCPMC7672511
OpenAlexW3105091572

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.