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Cheung RW, Austerberry C, Fearon P, Hayiou-Thomas ME, Leve LD, Shaw DS, Ganiban JM, Natsuaki MN, Neiderhieser JM, Reiss D. Disentangling genetic and environmental influences on early language development: The interplay of genetic propensity for negative emotionality and surgency, and parenting behavior effects on early language skills in an adoption study. Child Dev 2024; 95:699-720. [PMID: 37947162 PMCID: PMC11023813 DOI: 10.1111/cdev.14021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 07/22/2023] [Accepted: 09/11/2023] [Indexed: 11/12/2023]
Abstract
Parenting and children's temperament are important influences on language development. However, temperament may reflect prior parenting, and parenting effects may reflect genes common to parents and children. In 561 U.S. adoptees (57% male) and their birth and rearing parents (70% and 92% White, 13% and 4% African American, and 7% and 2% Latinx, respectively), this study demonstrated how genetic propensity for temperament affects language development, and how this relates to parenting. Genetic propensity for negative emotionality inversely predicted language at 27 months (β = -.15) and evoked greater maternal warmth (β = .12), whereas propensity for surgency positively predicted language at 4.5 years (β = .20), especially when warmth was low. Parental warmth (β = .15) and sensitivity (β = .19) further contributed to language development, controlling for common gene effects.
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Affiliation(s)
| | - Chloe Austerberry
- Department of Psychology, Centre for Family Research, University of Cambridge, Cambridge, UK
| | - Pasco Fearon
- Department of Psychology, Centre for Family Research, University of Cambridge, Cambridge, UK
- Research Department of Clinical, Educational and Health Psychology, UCL, London, UK
| | | | - Leslie D Leve
- Prevention Science Institute, University of Oregon, Eugene, Oregon, USA
| | - Daniel S Shaw
- Department of Psychology, University of Pittsburg, Pittsburgh, Pennsylvania, USA
| | - Jody M Ganiban
- Department of Psychological and Brain Sciences, George Washington University, Washington, District of Columbia, USA
| | - Misaki N Natsuaki
- Department of Psychology, University of California, Riverside, California, USA
| | - Jenae M Neiderhieser
- Department of Psychology, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - David Reiss
- Yale Child Study Center, Yale School of Medicine, New Haven, Connecticut, USA
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Solberg BS, Kvalvik LG, Instanes JT, Hartman CA, Klungsøyr K, Li L, Larsson H, Magnus P, Njølstad PR, Johansson S, Andreassen OA, Bakken NR, Bekkhus M, Austerberry C, Smajlagic D, Havdahl A, Corfield EC, Haavik J, Gjestad R, Zayats T. Maternal Fiber Intake During Pregnancy and Development of Attention-Deficit/Hyperactivity Disorder Symptoms Across Childhood: The Norwegian Mother, Father, and Child Cohort Study. Biol Psychiatry 2024; 95:839-848. [PMID: 38142720 DOI: 10.1016/j.biopsych.2023.12.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 12/08/2023] [Accepted: 12/13/2023] [Indexed: 12/26/2023]
Abstract
BACKGROUND Epidemiological studies suggest that maternal diet quality during pregnancy may influence the risk of neurodevelopmental disorders in offspring. Here, we investigated associations between maternal intake of dietary fiber and attention-deficit/hyperactivity disorder (ADHD) symptoms in early childhood. METHODS We used longitudinal data of up to 21,852 mother-father-child trios (49.2% female offspring) from MoBa (the Norwegian Mother, Father, and Child Cohort Study). The relationships between maternal fiber intake during pregnancy and offspring ADHD symptoms at ages 3, 5, and 8 years were examined using 1) multivariate regression (overall levels of ADHD symptoms), 2) latent class analysis (subclasses of ADHD symptoms by sex at each age), and 3) latent growth curves (longitudinal change in offspring ADHD symptoms). Covariates were ADHD polygenic scores in child and parents, total energy intake and energy-adjusted sugar intake, parental ages at birth of the child, and sociodemographic factors. RESULTS Higher maternal prenatal fiber intake was associated with lower offspring ADHD symptom scores at all ages (Bage3 = -0.14 [95% CI, -0.18 to -0.10]; Bage5 = -0.14 [95% CI, -0.19 to -0.09]; Bage8 = -0.14 [95% CI, -0.20 to -0.09]). Of the derived low/middle/high subclasses of ADHD symptoms, fiber was associated with lower risk of belonging to the middle subclass for boys and girls and to the high subclass for girls only (middle: odds ratioboys 0.91 [95% CI, 0.86 to 0.97]/odds ratiogirls 0.86 [95% CI, 0.81 to 0.91]; high: odds ratiogirls 0.82 [95% CI, 0.72 to 0.94]). Maternal fiber intake and rate of change in child ADHD symptoms across ages were not associated. CONCLUSIONS Low prenatal maternal fiber intake may increase symptom levels of ADHD in offspring during childhood, independently of genetic predisposition to ADHD, unhealthy dietary exposures, and sociodemographic factors.
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Affiliation(s)
- Berit Skretting Solberg
- Department of Biomedicine, University of Bergen, Norway; Child and Adolescent Psychiatric Outpatient Unit, Hospital Betanien, Bergen, Norway.
| | | | | | - Catharina A Hartman
- Interdisciplinary Center Psychiatry and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Kari Klungsøyr
- Department of Global Public Health and Primary Care, University of Bergen, Norway; Division of Mental and Physical Health, Norwegian Institute of Public Health, Bergen, Norway
| | - Lin Li
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Henrik Larsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Per Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Pål Rasmus Njølstad
- Department of Clinical Science, Mohn Center for Diabetes Precision Medicine, University of Bergen, Bergen, Norway; Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway; Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Stefan Johansson
- Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiciton, Oslo University Hospital, Oslo, Norway
| | - Nora Refsum Bakken
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Mona Bekkhus
- Promenta Research Centre, Department of Psychology, University of Oslo, Oslo, Norway
| | - Chloe Austerberry
- Centre for Family Research, University of Cambridge, Cambridge, United Kingdom; Research Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
| | - Dinka Smajlagic
- Promenta Research Centre, Department of Psychology, University of Oslo, Oslo, Norway
| | - Alexandra Havdahl
- Promenta Research Centre, Department of Psychology, University of Oslo, Oslo, Norway; Centre for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway; Nic Waals Institute, Lovisenberg Diakonale Hospital, Oslo, Norway
| | - Elizabeth C Corfield
- Centre for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway; Nic Waals Institute, Lovisenberg Diakonale Hospital, Oslo, Norway
| | - Jan Haavik
- Department of Biomedicine, University of Bergen, Norway; Bergen Center for Brain Plasticity, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway; Department of Psychiatry, Research Department, Haukeland University Hospital, Bergen, Norway
| | - Rolf Gjestad
- Department of Psychiatry, Research Department, Haukeland University Hospital, Bergen, Norway; Center for Crisis Psychology, Faculty of Psychology, University of Bergen, Bergen, Norway; Centre for Research and Education in Forensic Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Tetyana Zayats
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
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Abstract
IMPORTANCE Although infancy is the most rapid period of postnatal growth and development, factors associated with variation in infant traits are not well understood. OBJECTIVE To synthesize the large twin study literature partitioning phenotypic variance in psychological traits and developmental milestones in infancy into estimates of heritability and shared and nonshared environment. DATA SOURCES PubMed, PsycINFO, and references of included publications were searched up to February 11, 2021. STUDY SELECTION Peer-reviewed publications using the classical twin design to study psychological traits and developmental milestones from birth to 2 years old were included. DATA EXTRACTION AND SYNTHESIS Data were extracted in line with Preferred Reporting Items for Systematic Reviews and Meta-Analyses and categorized using the International Classification of Functioning, Disability and Health: Children and Youth Version. Data were pooled in 3-level random effects models, incorporating within-cohort variance in outcome measurement and between-cohort variance. Data were analyzed from March 2021 through September 2021. MAIN OUTCOMES AND MEASURES The primary outcomes were monozygotic and dizygotic twin correlations. These were used to calculate genetic and shared and nonshared environment estimates. RESULTS Among 139 publications that were systematically retrieved, data were available on 79 044 twin pairs (31 053 monozygotic and 47 991 dizygotic pairs), 52 independent samples, and 21 countries. Meta-analyses were conducted on psychological traits and developmental milestones from 106 publications organized into 10 categories of functioning, disability, and health. Moderate to high genetic estimates for 8 categories were found, the highest of which was psychomotor functions (pooled h2, 0.59; 95% CI, 0.25-0.79; P < .001). Several categories of traits had substantial shared environment estimates, the highest being mental functions of language (pooled c2, 0.59; 95% CI, 0.24-0.86; P = .001). All examined categories of traits had moderate or high nonshared environment estimates, the highest of which were emotional functions (pooled e2, 0.42; 95% CI, 0.33-0.50; P < .001) and family relationships (pooled e2, 0.42; 95% CI, 0.30-0.55; P < .001). CONCLUSIONS AND RELEVANCE These findings may be an important source of information to guide future gene discovery research, public perspectives on nature and nurture, and clinical insights into the degree to which family history and environments may estimate major domains of infant functioning, disability, and health in psychological traits and developmental milestones.
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Affiliation(s)
- Chloe Austerberry
- Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
| | - Maria Mateen
- Department of Clinical, Educational and Health Psychology, University College London, London, United Kingdom
| | - Pasco Fearon
- Centre for Family Research, University of Cambridge, Cambridge, United Kingdom
| | - Angelica Ronald
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, United Kingdom
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Austerberry C, Fearon P, Ronald A, Leve LD, Ganiban JM, Natsuaki MN, Shaw DS, Neiderhiser JM, Reiss D. Early manifestations of intellectual performance: Evidence that genetic effects on later academic test performance are mediated through verbal performance in early childhood. Child Dev 2022; 93:e188-e206. [PMID: 34783370 PMCID: PMC10861934 DOI: 10.1111/cdev.13706] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Intellectual performance is highly heritable and robustly predicts lifelong health and success but the earliest manifestations of genetic effects on this asset are not well understood. This study examined whether early executive function (EF) or verbal performance mediate genetic influences on subsequent intellectual performance, in 561 U.S.-based adoptees (57% male) and their birth and adoptive parents (70% and 92% White, 13% and 4% African American, 7% and 2% Latinx, respectively), administered measures in 2003-2017. Genetic influences on children's academic performance at 7 years were mediated by verbal performance at 4.5 years (β = .22, 95% CI [0.08, 0.35], p = .002) and not via EF, indicating that verbal performance is an early manifestation of genetic propensity for intellectual performance.
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Affiliation(s)
- Chloe Austerberry
- Research Department of Clinical, Educational and Health Psychology, UCL, London, UK
| | - Pasco Fearon
- Research Department of Clinical, Educational and Health Psychology, UCL, London, UK
| | - Angelica Ronald
- Department of Psychological Sciences, Birkbeck, University of London, London, UK
| | - Leslie D. Leve
- Prevention Science Institute, University of Oregon, Eugene, Oregon, USA
| | - Jody M. Ganiban
- Department of Psychological and Brain Sciences, George Washington University, Washington, District of Columbia, USA
| | - Misaki N. Natsuaki
- Department of Psychology, University of California, Riverside, California, USA
| | - Daniel S. Shaw
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Jenae M. Neiderhiser
- Department of Psychology, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - David Reiss
- Yale Child Study Center, Yale School of Medicine, New Haven, Connecticut, USA
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