Accepted for Publication: June 2, 2020.
Corresponding Author: Kaja Z. LeWinn, ScD, MS, Weill Institute for Neurosciences, Department of Psychiatry, University of California, San Francisco, 401 Parnassus Ave, San Francisco, CA 94143 (kaja.lewinn@ucsf.edu).
Published Online: September 21, 2020. doi:10.1001/jamapediatrics.2020.2904
Author Contributions: Dr LeWinn and Ms Batra had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
Concept and design: LeWinn, Bush, Tylavsky, Rehkopf.
Acquisition, analysis, or interpretation of data: LeWinn, Bush, Batra, Tylavsky.
Drafting of the manuscript: LeWinn, Batra, Rehkopf.
Critical revision of the manuscript for important intellectual content: LeWinn, Bush, Tylavsky, Rehkopf.
Statistical analysis: LeWinn, Batra.
Obtained funding: LeWinn, Bush, Tylavsky.
Administrative, technical, or material support: LeWinn, Bush, Tylavsky.
Supervision: LeWinn, Rehkopf.
Conflict of Interest Disclosures: Dr LeWinn reported receiving grants from the Urban Child Institute during the conduct of the study. Dr Bush reported receiving grants from the University of California, San Francisco, and the Urban Child Institute during the conduct of the study. Dr Tylavsky reported receiving grants from the National Institutes of Health and the Urban Child Institute and during the conduct of the study. No other disclosures were reported.
Funding/Support: This study was funded by the Urban Child Institute in Memphis, Tennessee (Drs LeWinn, Bush, and Tylavsky); the Urban Child Institute also funded the Conditions Affecting Neurodevelopment and Learning in Early Life (CANDLE) study.
Role of the Funder/Sponsor: The Urban Child Institute had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Additional Contributions: Robert Davis, MD, of the Center for Biomedical Informatics, University of Tennessee Health Science Center, and Nancy Adler, MD, of the Center for Health and Community, University of California, San Francisco, provided insightful comments and suggestions that greatly improved our manuscript. Neither contributor received compensation. We are grateful for the participation of families enrolled in the Conditions Affecting Neurodevelopment and Learning in Early Life (CANDLE), as well as the dedication of CANDLE research staff and investigators.
1.Martin
LT , Kubzansky
LD , LeWinn
KZ , Lipsitt
LP , Satz
P , Buka
SL . Childhood cognitive performance and risk of generalized anxiety disorder.
Int J Epidemiol. 2007;36(4):769-775. doi:
10.1093/ije/dym063
PubMedGoogle Scholar 3.Lager
A , Bremberg
S , Vagero
D . The association of early IQ and education with mortality: 65 year longitudinal study in Malmo, Sweden.
BMJ. 2009;339:b5282. doi:
10.1136/bmj.b5282
PubMedGoogle Scholar 4.Kendler
KS , Turkheimer
E , Ohlsson
H , Sundquist
J , Sundquist
K . Family environment and the malleability of cognitive ability: a Swedish national home-reared and adopted-away cosibling control study.
Proc Natl Acad Sci U S A. 2015;112(15):4612-4617. doi:
10.1073/pnas.1417106112
PubMedGoogle Scholar 5.Nelson
CA
III , Zeanah
CH , Fox
NA , Marshall
PJ , Smyke
AT , Guthrie
D . Cognitive recovery in socially deprived young children: the Bucharest Early Intervention Project.
Science. 2007;318(5858):1937-1940. doi:
10.1126/science.1143921
PubMedGoogle Scholar 7.Campbell
FA , Ramey
CT , Pungello
E , Sparling
J , Miller-Johnson
S . Early childhood education: young adult outcomes from the Abecedarian Project.
Appl Dev Sci. 2002;6(1):42-57. doi:
10.1207/S1532480XADS0601_05
Google Scholar 11.Del Carmen Ruiz
J , Quackenboss
JJ , Tulve
NS . Contributions of a child’s built, natural, and social environments to their general cognitive ability: a systematic scoping review.
PLoS One. 2016;11(2):e0147741. doi:
10.1371/journal.pone.0147741
PubMedGoogle Scholar 12.Lee
VE , Burkam
DT . Inequality at the Starting Gate: Social Background Differences in Achievement as Children Begin School. Economic Policy Institute; 2002.
13.Canfield
RL , Henderson
CR
Jr , Cory-Slechta
DA , Cox
C , Jusko
TA , Lanphear
BP . Intellectual impairment in children with blood lead concentrations below 10 microg per deciliter.
N Engl J Med. 2003;348(16):1517-1526. doi:
10.1056/NEJMoa022848
PubMedGoogle Scholar 15.Liu
J , Lewis
G . Environmental toxicity and poor cognitive outcomes in children and adults.
J Environ Health. 2014;76(6):130-138.
PubMedGoogle Scholar 16.Northstone
K , Joinson
C , Emmett
P , Ness
A , Paus
T . Are dietary patterns in childhood associated with IQ at 8 years of age? a population-based cohort study.
J Epidemiol Community Health. 2012;66(7):624-628. doi:
10.1136/jech.2010.111955
PubMedGoogle Scholar 17.Freitas-Vilela
AA , Pearson
RM , Emmett
P ,
et al. Maternal dietary patterns during pregnancy and intelligence quotients in the offspring at 8 years of age: findings from the ALSPAC cohort.
Matern Child Nutr. 2018;14(1):e12431. doi:
10.1111/mcn.12431
PubMedGoogle Scholar 18.Lawlor
DA , Najman
JM , Batty
GD , O’Callaghan
MJ , Williams
GM , Bor
W . Early life predictors of childhood intelligence: findings from the Mater-University study of pregnancy and its outcomes.
Paediatr Perinat Epidemiol. 2006;20(2):148-162. doi:
10.1111/j.1365-3016.2006.00704.x
PubMedGoogle Scholar 19.Eriksen
H-LF , Kesmodel
US , Underbjerg
M , Kilburn
TR , Bertrand
J , Mortensen
EL . Predictors of intelligence at the age of 5: family, pregnancy and birth characteristics, postnatal influences, and postnatal growth.
PLoS One. 2013;8(11):e79200. doi:
10.1371/journal.pone.0079200
PubMedGoogle Scholar 20.Koenen
KC , Moffitt
TE , Caspi
A , Taylor
A , Purcell
S . Domestic violence is associated with environmental suppression of IQ in young children.
Dev Psychopathol. 2003;15(2):297-311. doi:
10.1017/S0954579403000166
PubMedGoogle Scholar 22.Patel
CJ , Rehkopf
DH , Leppert
JT ,
et al. Systematic evaluation of environmental and behavioural factors associated with all-cause mortality in the United States National Health and Nutrition Examination Survey.
Int J Epidemiol. 2013;42(6):1795-1810. doi:
10.1093/ije/dyt208
PubMedGoogle Scholar 23.Patel
CJ , Ioannidis
JPA , Cullen
MR , Rehkopf
DH . Systematic assessment of the correlations of household income with infectious, biochemical, physiological, and environmental factors in the United States, 1999-2006.
Am J Epidemiol. 2015;181(3):171-179. doi:
10.1093/aje/kwu277
PubMedGoogle Scholar 24.Sontag-Padilla
L , Burns
RM , Shih
RA ,
et al.
The Urban Child Institute CANDLE Study: Methodological Overview and Baseline Sample Description RAND Corporation; 2015. doi:
10.7249/RR1336
25.Wechsler
D . Wechsler Abbreviated Scale of Intelligence, Second Edition (WASI-II). NCS Pearson; 2011.
26.Roid
GH . Stanford-Binet Intelligence Scales, Fifth Edition. Riverside Publishing; 2003.
31.Zhao
P , Yu
B . On model selection consistency of lasso.
J Mach Learn Res. 2006;7:2541–2563.
Google Scholar 35.Organisation for Economic Co-operation and Development. Society at a Glance 2014: OECD Social Indicators. OECD Publishing; 2014.
36.Buckley
JP , Doherty
BT , Keil
AP , Engel
SM . Statistical approaches for estimating sex-specific effects in endocrine disruptors research.
Environ Health Perspect. 2017;125(6):067013. doi:
10.1289/EHP334
PubMedGoogle Scholar 37.Christian
K , Morrison
FJ , Bryant
FB . Predicting kindergarten academic skills: interactions among child care, maternal education, and family literacy environments.
Early Child Res Q. 1998;13(3):501–521. doi:
10.1016/S0885-2006(99)80054-4
Google Scholar 40.Sayegh
P , Arentoft
A , Thaler
NS , Dean
AC , Thames
AD . Quality of education predicts performance on the Wide Range Achievement Test–4th Edition Word Reading subtest.
Arch Clin Neuropsychol. 2014;29(8):731-736. doi:
10.1093/arclin/acu059
PubMedGoogle Scholar 41.Baer
J , Kutner
M , Sabatini
J , White
S.
Basic Reading Skills and the Literacy of America’s Least Literate Adults: Results From the 2003 National Assessment of Adult Literacy (NAAL) Supplemental Studies. NCES 2009-481. National Center for Education Statistics; 2009. Accessed December 27, 2019.
https://eric.ed.gov/?id=ED505187 45.Fewell
RR , Deutscher
B . Contributions of receptive vocabulary and maternal style: variables to later verbal ability and reading in low-birthweight children.
Top Early Child Special Educ. 2002;22(4):181–190. doi:
10.1177/027112140202200401
Google Scholar 46.Herbers
JE , Cutuli
JJ , Lafavor
TL ,
et al. Direct and indirect effects of parenting on the academic functioning of young homeless children.
Early Educ Dev. 2011;22(1):77–104. doi:
10.1080/10409280903507261
Google Scholar 48.Estes
A , Munson
J , Dawson
G , Koehler
E , Zhou
X-H , Abbott
R . Parenting stress and psychological functioning among mothers of preschool children with autism and developmental delay.
Autism. 2009;13(4):375-387. doi:
10.1177/1362361309105658
PubMedGoogle Scholar 51.Tachibana
Y , Fukushima
A , Saito
H ,
et al. A new mother-child play activity program to decrease parenting stress and improve child cognitive abilities: a cluster randomized controlled trial.
PLoS One. 2012;7(7):e38238. doi:
10.1371/journal.pone.0038238
PubMedGoogle Scholar 52.Burgdorf
V , Szabo
M , Abbott
MJ . The effect of mindfulness interventions for parents on parenting stress and youth psychological outcomes: a systematic review and meta-analysis.
Front Psychol. 2019;10:1336. doi:
10.3389/fpsyg.2019.01336
PubMedGoogle Scholar 53.Lee
JJ , Wedow
R , Okbay
A ,
et al; 23andMe Research Team; COGENT (Cognitive Genomics Consortium); Social Science Genetic Association Consortium. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals.
Nat Genet. 2018;50(8):1112-1121. doi:
10.1038/s41588-018-0147-3
PubMedGoogle Scholar 54.Cheesman
R , Hunjan
A , Coleman
JRI ,
et al. Comparison of adopted and non-adopted individuals reveals gene-environment interplay for education in the UK Biobank.
Psychol Sci. 2020;31(5):582-591. doi:
10.1177/0956797620904450PubMedGoogle Scholar 56.Blume
GH , Long
MC . Changes in levels of affirmative action in college admissions in response to statewide bans and judicial rulings.
Educ Eval Policy Anal. 2014;36(2):228-252. doi:
10.3102/0162373713508810
Google Scholar 57.Pitre
CC . Improving African American student outcomes: understanding educational achievement and strategies to close opportunity gaps.
West J Black Stud. 2014;38(4):209-217.
Google Scholar 58.Berkner
L , Chavez
L.
Access to Postsecondary Education for the 1992 High School Graduates. Postsecondary Education Descriptive Analysis Reports. Statistical Analysis Report. Office of Educational Research and Improvement, US Department of Education; 1997. Accessed May 21, 2020.
https://eric.ed.gov/?id=ED413854 60.Kaufman
P , Chen
X .
Projected postsecondary outcomes of 1992 high school graduates. National Center for Education Statistics working paper 1999-15. June 1999. Accessed April 15, 2019.
https://nces.ed.gov/pubs99/199915.pdf 63.Kramer
MS , Aboud
F , Mironova
E ,
et al; Promotion of Breastfeeding Intervention Trial (PROBIT) Study Group. Breastfeeding and child cognitive development: new evidence from a large randomized trial.
Arch Gen Psychiatry. 2008;65(5):578-584. doi:
10.1001/archpsyc.65.5.578
PubMedGoogle Scholar