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Lyall K, Westlake M, Musci RJ, Gachigi K, Barrett ES, Bastain TM, Bush NR, Buss C, Camargo CA, Croen LA, Dabelea D, Dunlop AL, Elliott AJ, Ferrara A, Ghassabian A, Gern JE, Hare ME, Hertz-Picciotto I, Hipwell AE, Hockett CW, Karagas MR, Lugo-Candelas C, O'Connor TG, Schmidt RJ, Stanford JB, Straughen JK, Shuster CL, Wright RO, Wright RJ, Zhao Q, Oken E. Association of maternal fish consumption and ω-3 supplement use during pregnancy with child autism-related outcomes: results from a cohort consortium analysis. Am J Clin Nutr 2024:S0002-9165(24)00585-9. [PMID: 38960320 DOI: 10.1016/j.ajcnut.2024.06.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 05/15/2024] [Accepted: 06/26/2024] [Indexed: 07/05/2024] Open
Abstract
BACKGROUND Prenatal fish intake is a key source of omega-3 (ω-3) polyunsaturated fatty acids needed for brain development, yet intake is generally low, and studies addressing associations with autism spectrum disorder (ASD) and related traits are lacking. OBJECTIVE This study aimed to examine associations of prenatal fish intake and ω-3 supplement use with both autism diagnosis and broader autism-related traits. METHODS Participants were drawn from 32 cohorts in the Environmental influences on Child Health Outcomes Cohort Consortium. Children were born between 1999 and 2019 and part of ongoing follow-up with data available for analysis by August 2022. Exposures included self-reported maternal fish intake and ω-3/fish oil supplement use during pregnancy. Outcome measures included parent report of clinician-diagnosed ASD and parent-reported autism-related traits measured by the Social Responsiveness Scale (SRS)-second edition (n = 3939 and v3609 for fish intake analyses, respectively; n = 4537 and n = 3925 for supplement intake analyses, respectively). RESULTS In adjusted regression models, relative to no fish intake, fish intake during pregnancy was associated with reduced odds of autism diagnosis (odds ratio: 0.84; 95% confidence interval [CI]: 0.77, 0.92), and a modest reduction in raw total SRS scores (β: -1.69; 95% CI: -3.3, -0.08). Estimates were similar across categories of fish consumption from "any" or "less than once per week" to "more than twice per week." For ω-3 supplement use, relative to no use, no significant associations with autism diagnosis were identified, whereas a modest relation with SRS score was suggested (β: 1.98; 95% CI: 0.33, 3.64). CONCLUSIONS These results extend previous work by suggesting that prenatal fish intake, but not ω-3 supplement use, may be associated with lower likelihood of both autism diagnosis and related traits. Given the low-fish intake in the United States general population and the rising autism prevalence, these findings suggest the need for better public health messaging regarding guidelines on fish intake for pregnant individuals.
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Affiliation(s)
- Kristen Lyall
- AJ Drexel Autism Institute, Drexel University, Philadelphia, PA, United States.
| | | | - Rashelle J Musci
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Kennedy Gachigi
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Emily S Barrett
- Department of Biostatistics and Epidemiology, Rutgers University School of Public Health, Environmental and Occupational Health Sciences Institute, Piscataway, NJ, United States
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States
| | - Nicole R Bush
- Department of Psychiatry and Behavioral Sciences, Department of Pediatrics, University of California San Francisco, San Francisco, CA, United States
| | - Claudia Buss
- UC Irvine Medical Center, Orange, CA, United States
| | - Carlos A Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Lisa A Croen
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Anne L Dunlop
- Department of Gynecology & Obstetrics, Emory University School of Medicine, Atlanta, GA, United States
| | - Amy J Elliott
- Avera Research Institute, Sioux Falls, SD, United States; Department of Pediatrics, University of South Dakota Sanford School of Medicine, Vermillion, SD, United States
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States
| | - Akhgar Ghassabian
- Department of Pediatrics, New York University Grossman School of Medicine, New York, NY, United States
| | - James E Gern
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Marion E Hare
- Department of Preventive Medicine, College of Medicine, University of Health Science Center, Memphis, TN, United States
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences, University of California Davis, Davis, CA, United States
| | - Alison E Hipwell
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Christine W Hockett
- Avera Research Institute, Sioux Falls, SD, United States; Department of Pediatrics, University of South Dakota Sanford School of Medicine, Vermillion, SD, United States
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, United States
| | - Claudia Lugo-Candelas
- New York State Psychiatric Institute, Columbia University Irving Medical Center, New York, NY, United States
| | - Thomas G O'Connor
- Departments of Psychiatry, Psychology, Neuroscience, Obstetrics and Gynecology, University of Rochester, Rochester, NY, United States
| | - Rebecca J Schmidt
- Department of Public Health Sciences, University of California Davis, Davis, CA, United States
| | - Joseph B Stanford
- Department of Family and Preventative Medicine, University of Utah, Salt Lake City, UT, United States
| | - Jennifer K Straughen
- Department of Public Health Sciences, Henry Ford Health, Detroit, MI, United States
| | - Coral L Shuster
- Brown Center for the Study of Children at Risk, Women and Infants Hospital, Providence, RI, United States
| | - Robert O Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Rosalind J Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Qi Zhao
- Department of Preventive Medicine, College of Medicine, University of Health Science Center, Memphis, TN, United States
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
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Gonçalves R, Gaillard R, Cecil C, Defina S, Steegers EAP, Jaddoe VWV. Arterial Health Markers in Relation to Behavior and Cognitive Outcomes at School Age. J Am Heart Assoc 2024; 13:e029771. [PMID: 38420836 PMCID: PMC10944063 DOI: 10.1161/jaha.123.029771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 01/17/2024] [Indexed: 03/02/2024]
Abstract
BACKGROUND Impaired arterial health is associated with a decline in cognitive function and psychopathology in adults. We hypothesized that these associations originate in early life. We examined the associations of blood pressure, common carotid artery intima media thickness, and carotid distensibility with behavior and cognitive outcomes during adolescence. METHODS AND RESULTS This study was embedded in the Dutch Generation R Study, a population-based prospective cohort study from early fetal life onwards. Blood pressure, carotid intima media thickness, and carotid distensibility were measured at the age of 10 years. At the age of 13 years, total, internalizing and externalizing problems and attention-deficit hyperactivity disorder symptoms were measured using the parent-reported Child Behavior Checklist (CBCL/6-18), autistic traits were assessed by the Social Responsiveness Scale, and IQ was assessed using the Wechsler Intelligence Scale for Children-Fifth Edition. A 1-SD score higher mean arterial pressure was associated with lower odds of internalizing problems (odds ratio [OR], 0.92 [95% CI, 0.85-0.99]). However, this association was nonsignificant after correction for multiple testing. Carotid intima media thickness and carotid distensibility were not associated with behavior and cognitive outcomes at 13 years old. CONCLUSIONS From our results, we cannot conclude that the associations of blood pressure, carotid intima media thickness, and carotid distensibility at age 10 years with behavior and cognitive outcomes are present in early adolescence. Further follow-up studies are needed to identify the critical ages for arterial health in relation to behavior and cognitive outcomes at older ages.
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Affiliation(s)
- Romy Gonçalves
- The Generation R Study GroupErasmus University Medical CenterRotterdamThe Netherlands
- Department of Pediatrics, Sophia’s Children’s HospitalErasmus University Medical CenterRotterdamThe Netherlands
| | - Romy Gaillard
- The Generation R Study GroupErasmus University Medical CenterRotterdamThe Netherlands
- Department of Pediatrics, Sophia’s Children’s HospitalErasmus University Medical CenterRotterdamThe Netherlands
| | - Charlotte Cecil
- The Generation R Study GroupErasmus University Medical CenterRotterdamThe Netherlands
- Department of Child and Adolescent Psychiatry/PsychologyErasmus University Medical CenterRotterdamThe Netherlands
| | - Serena Defina
- The Generation R Study GroupErasmus University Medical CenterRotterdamThe Netherlands
- Department of Child and Adolescent Psychiatry/PsychologyErasmus University Medical CenterRotterdamThe Netherlands
| | - Eric. A. P. Steegers
- Department of Obstetrics and Gynecology, Sophia’s Children’s HospitalErasmus University Medical CenterRotterdamThe Netherlands
| | - Vincent W. V. Jaddoe
- The Generation R Study GroupErasmus University Medical CenterRotterdamThe Netherlands
- Department of Pediatrics, Sophia’s Children’s HospitalErasmus University Medical CenterRotterdamThe Netherlands
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Kaupper CS, Blaauwendraad SM, Cecil CAM, Mulder RH, Gaillard R, Goncalves R, Borggraefe I, Koletzko B, Jaddoe VWV. Cord Blood Metabolite Profiles and Their Association with Autistic Traits in Childhood. Metabolites 2023; 13:1140. [PMID: 37999236 PMCID: PMC10672851 DOI: 10.3390/metabo13111140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 11/02/2023] [Accepted: 11/03/2023] [Indexed: 11/25/2023] Open
Abstract
Autism Spectrum Disorder (ASD) is a diverse neurodevelopmental condition. Gene-environmental interactions in early stages of life might alter metabolic pathways, possibly contributing to ASD pathophysiology. Metabolomics may serve as a tool to identify underlying metabolic mechanisms contributing to ASD phenotype and could help to unravel its complex etiology. In a population-based, prospective cohort study among 783 mother-child pairs, cord blood serum concentrations of amino acids, non-esterified fatty acids, phospholipids, and carnitines were obtained using liquid chromatography coupled with tandem mass spectrometry. Autistic traits were measured at the children's ages of 6 (n = 716) and 13 (n = 648) years using the parent-reported Social Responsiveness Scale. Lower cord blood concentrations of SM.C.39.2 and NEFA16:1/16:0 were associated with higher autistic traits among 6-year-old children, adjusted for sex and age at outcome. After more stringent adjustment for confounders, no significant associations of cord blood metabolites and autistic traits at ages 6 and 13 were detected. Differences in lipid metabolism (SM and NEFA) might be involved in ASD-related pathways and are worth further investigation.
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Affiliation(s)
- Christin S. Kaupper
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands (R.G.)
- Department of Pediatrics, Sophia’s Children’s Hospital, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
| | - Sophia M. Blaauwendraad
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands (R.G.)
- Department of Pediatrics, Sophia’s Children’s Hospital, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
| | - Charlotte A. M. Cecil
- Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, 3000 CA Rotterdam, The Netherlands
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands
| | - Rosa H. Mulder
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands (R.G.)
- Department of Child and Adolescent Psychiatry, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
| | - Romy Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands (R.G.)
- Department of Pediatrics, Sophia’s Children’s Hospital, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
| | - Romy Goncalves
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands (R.G.)
- Department of Pediatrics, Sophia’s Children’s Hospital, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
| | - Ingo Borggraefe
- Division of Pediatric Neurology, Developmental Medicine and Social Pediatrics, Comprehensive Epilepsy Center for Children and Adolescents, Dr. von Hauner Children’s Hospital, LMU University Hospitals, LMU—Ludwig-Maximilians Universität, 80337 Munich, Germany
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children’s Hospital, LMU University Hospitals, LMU—Ludwig-Maximilians Universität, 80337 Munich, Germany
| | - Vincent W. V. Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands (R.G.)
- Department of Pediatrics, Sophia’s Children’s Hospital, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
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Oppenheimer AV, Weisskopf MG, Lyall K. An Examination of Family Transmission of Traits Measured by the Social Responsiveness Scale-Short Form. J Autism Dev Disord 2023:10.1007/s10803-023-06115-2. [PMID: 37702820 DOI: 10.1007/s10803-023-06115-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/11/2023] [Indexed: 09/14/2023]
Abstract
PURPOSE The Social Responsiveness Scale (SRS) is frequently used in research settings to measure characteristics associated with autism spectrum disorders (ASD). A short version has been developed but not yet tested for certain properties of the full SRS, such as familiality. The purpose of this study was to determine if prior familiality findings for the full SRS can be replicated using the short form by measuring the associations of the parental Social Responsiveness Scale-Short Form (SRS-SF) scores with child ASD diagnoses and child SRS-SF scores. METHODS We used a nested case-control study within a longitudinal cohort study design. Participants were selected from the Nurses' Health Study II (NHS II). Cases were children of study participants who had been diagnosed with ASD, while controls had not been diagnosed with ASD and were frequency matched by year of birth to cases. 2144 out of 3161 eligible participants returned SRS forms for a child and at least one parent. Participants in NHS II completed SRS forms for their spouses and spouses completed SRS forms for NHS II participants. Parental SRS-SF scores were based on a subset of 16 questions from the SRS. ASD diagnosis among children was reported by the mothers and validated in a subset using the Autism Diagnostic Interview-Revised, as well as child SRS-SF scores. RESULTS Children whose parents both had elevated SRS-SF scores (those in the top 20% of the study distribution) had a higher odds of ASD diagnosis than those who did not have elevated parental scores (OR 2.25; 95% CI 1.41, 3.58). Additionally, children whose fathers had elevated SRS-SF scores had a higher odds of ASD diagnosis (OR 2.18; 95% CI 1.60, 2.97) than those whose fathers scores were not elevated. In sex-stratified analyses, male children with elevated parental SRS-SF scores had a higher odds of ASD diagnosis than those who did not have elevated parental scores. These associations were not as evident among female children. Parental SRS-SF scores also predicted child SRS-SF scores among controls. CONCLUSION These findings are similar to prior findings for the full SRS and support the ability of the SRS-SF to capture familiality of ASD-related traits.
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Affiliation(s)
- Anna V Oppenheimer
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Boston, MA, USA.
| | - Marc G Weisskopf
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Boston, MA, USA
| | - Kristen Lyall
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, USA
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Knapp EA, Kress AM, Parker CB, Page GP, McArthur K, Gachigi KK, Alshawabkeh AN, Aschner JL, Bastain TM, Breton CV, Bendixsen CG, Brennan PA, Bush NR, Buss C, Camargo, Jr. CA, Catellier D, Cordero JF, Croen L, Dabelea D, Deoni S, D’Sa V, Duarte CS, Dunlop AL, Elliott AJ, Farzan SF, Ferrara A, Ganiban JM, Gern JE, Giardino AP, Towe-Goodman NR, Gold DR, Habre R, Hamra GB, Hartert T, Herbstman JB, Hertz-Picciotto I, Hipwell AE, Karagas MR, Karr CJ, Keenan K, Kerver JM, Koinis-Mitchell D, Lau B, Lester BM, Leve LD, Leventhal B, LeWinn KZ, Lewis J, Litonjua AA, Lyall K, Madan JC, McEvoy CT, McGrath M, Meeker JD, Miller RL, Morello-Frosch R, Neiderhiser JM, O’Connor TG, Oken E, O’Shea M, Paneth N, Porucznik CA, Sathyanarayana S, Schantz SL, Spindel ER, Stanford JB, Stroustrup A, Teitelbaum SL, Trasande L, Volk H, Wadhwa PD, Weiss ST, Woodruff TJ, Wright RJ, Zhao Q, Jacobson LP, Influences on Child Health Outcomes ,OBOPCFE. The Environmental Influences on Child Health Outcomes (ECHO)-Wide Cohort. Am J Epidemiol 2023; 192:1249-1263. [PMID: 36963379 PMCID: PMC10403303 DOI: 10.1093/aje/kwad071] [Citation(s) in RCA: 44] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 03/17/2023] [Accepted: 03/23/2023] [Indexed: 03/26/2023] Open
Abstract
The Environmental Influences on Child Health Outcomes (ECHO)-Wide Cohort Study (EWC), a collaborative research design comprising 69 cohorts in 31 consortia, was funded by the National Institutes of Health (NIH) in 2016 to improve children's health in the United States. The EWC harmonizes extant data and collects new data using a standardized protocol, the ECHO-Wide Cohort Data Collection Protocol (EWCP). EWCP visits occur at least once per life stage, but the frequency and timing of the visits vary across cohorts. As of March 4, 2022, the EWC cohorts contributed data from 60,553 children and consented 29,622 children for new EWCP data and biospecimen collection. The median (interquartile range) age of EWCP-enrolled children was 7.5 years (3.7-11.1). Surveys, interviews, standardized examinations, laboratory analyses, and medical record abstraction are used to obtain information in 5 main outcome areas: pre-, peri-, and postnatal outcomes; neurodevelopment; obesity; airways; and positive health. Exposures include factors at the level of place (e.g., air pollution, neighborhood socioeconomic status), family (e.g., parental mental health), and individuals (e.g., diet, genomics).
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Affiliation(s)
- Emily A Knapp
- Correspondence to Dr. Emily Knapp, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 700 E. Pratt Street, Suite 1000, Baltimore, Maryland 21202 (e-mail: )
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Kaat AJ, Croen LA, Constantino J, Newshaffer CJ, Lyall K. Modifying the social responsiveness scale for adaptive administration. Qual Life Res 2023; 32:2353-2360. [PMID: 36943606 PMCID: PMC11034771 DOI: 10.1007/s11136-023-03397-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/10/2023] [Indexed: 03/23/2023]
Abstract
PURPOSE The social responsiveness scale (SRS) is frequently used to quantify the autism-related phenotype and is gaining use in health outcomes research. However, it has a high respondent burden (65 items) for large-scale studies. Further, most evaluations of it have focused on the school-age form, not the preschool form. More validity evidence of shortened forms is necessary in the general population to support the broader health outcomes context of use. METHODS We evaluated the psychometrics of the SRS in 7030 individuals from multiple predominantly neurotypical samples in order to shorten it based on non-autistic sample metrics. Analyses included item factor analysis, differential item functioning (DIF), and multiple-group item response theory (IRT) to place the SRS items on a comparable scale, which was then simulated via computer adaptive testing (CAT) administration. RESULTS The SRS was broadly unidimensional with few methodological residual dependencies. On average, males had more autistic characteristics than females, and preschoolers had fewer characteristics than school-age children. The final IRT calibration included 45 items equated across forms, and each form had 11 with significant wording discrepancies and 9 items with near-identical wording that exhibited form-related DIF. The CAT simulation suggested a median of 14 items was sufficient to reach a reliable score, demonstrating its feasibility across the range of impairments. CONCLUSION IRT allows practitioners the ability to get highly reliable scores with fewer items than the full-length SRS. This supports the future application of the SRS in a computer adaptive testing mode in both neurotypical and ASD samples.
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Affiliation(s)
- Aaron J Kaat
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, 625 N. Michigan Avenue, Chicago, IL, 60611, USA.
| | - Lisa A Croen
- Kaiser Permanente Northern California, Oakland, USA
| | - John Constantino
- Division of Child Psychology, Washington University School of Medicine in St. Louis, St. Louis, USA
| | - Craig J Newshaffer
- Department of Biobehavioral Health, Penn State University, State College, USA
| | - Kristen Lyall
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, USA
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Patti MA, Ning X, Hosseini M, Croen LA, Joseph RM, Karagas MR, Ladd-Acosta C, Landa R, Messinger DS, Newschaffer CJ, Nguyen R, Ozonoff S, O'Shea TM, Schmidt RJ, Trevino CO, Lyall K. A Comparative Analysis of the Full and Short Versions of the Social Responsiveness Scale in Estimating an Established Autism Risk Factor Association in ECHO: Do we Get the Same Estimates? J Autism Dev Disord 2023:10.1007/s10803-023-06020-8. [PMID: 37480437 DOI: 10.1007/s10803-023-06020-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/18/2023] [Indexed: 07/24/2023]
Abstract
PURPOSE Prior work developed a shortened 16-item version of the Social Responsiveness Scale (SRS), a quantitative measure of social communication and autism spectrum disorder (ASD)-related traits. However, its properties for use in risk factor estimation have not been fully tested compared to the full SRS. We compared the associations between gestational age (previously established risk factor for ASD) and the 65-item "full" and 16-item "short" versions of the SRS to test the shortened version's ability to capture associations in epidemiologic analyses of ASD risk factors. METHODS We used data from participants in the Environmental influences on Child Health Outcomes (ECHO) Program (n = 2,760). SRS scores were collected via maternal/caregiver report when children were aged 2.5-18 years. We compared estimates of associations between gestational age and preterm birth between the full and short SRS using multivariable linear regression, quantile regression, and prediction methods. RESULTS Overall, associations based on full and short SRS scores were highly comparable. For example, we observed positive associations between preterm birth with both full ([Formula: see text]=2.8; 95% CI [1.7, 4.0]) and short ([Formula: see text]=2.9; 95% CI [1.6, 4.3]) SRS scores. Quantile regression analyses indicated similar direction and magnitude of associations across the distribution of SRS scores between gestational age with both short and full SRS scores. CONCLUSION The comparability in estimates obtained for full and short SRS scores with an "established" ASD risk factor suggests ability of the shortened SRS in assessing associations with potential ASD-related risk factors and has implications for large-scale research studies seeking to reduce participant burden.
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Affiliation(s)
- Marisa A Patti
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, USA.
| | - Xuejuan Ning
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Mina Hosseini
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Lisa A Croen
- Division of Research, Kaiser Permanente, Oakland, CA, USA
| | - Robert M Joseph
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Rebecca Landa
- Center for Autism and Related Disorders, Department of Psychiatry and Behavioral Sciences, Kennedy Krieger Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel S Messinger
- Departments of Psychology and Pediatrics, University of Miami, Coral Gables, FL, USA
| | - Craig J Newschaffer
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, USA
- College of Health and Human Development, Pennsylvania State University, University Park, New York City, PA, USA
| | - Ruby Nguyen
- Department of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Sally Ozonoff
- Department of Psychiatry and Behavioral Sciences, MIND Institute, University of California Davis, Sacramento, CA, USA
| | - T Michael O'Shea
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Rebecca J Schmidt
- Department of Public Health Sciences, UC Davis, UC Davis MIND Institute, Davis, Sacramento, CA, CA, USA
| | - Cindy O Trevino
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle Children's Research Institute, Seattle, WA, USA
| | - Kristen Lyall
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, USA
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Lyall K. What are quantitative traits and how can they be used in autism research? Autism Res 2023; 16:1289-1298. [PMID: 37212172 PMCID: PMC10524676 DOI: 10.1002/aur.2937] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 04/28/2023] [Indexed: 05/23/2023]
Abstract
Quantitative traits are measurable characteristics distributed along a continuous scale thought to relate to underlying biology. There is growing interest in the use of quantitative traits in behavioral and psychiatric research, particularly in research on conditions diagnosed based on reports of behaviors, including autism. This brief commentary describes quantitative traits, including defining what they are, how we can measure them, and key considerations for their use in autism research. Examples of measures include behavioral report scales like the Social Responsiveness Scale and Broader Autism Phenotype Questionnaire, as well as biological measurements, like certain neuroimaging metrics; such measures can capture quantitative traits or constructs like the broader autism phenotype, social communication, and social cognition. Quantitative trait measures align with the Research Domain Criteria (RDoC) approach and can be used in autism research to help gain a better understanding of causal pathways and biological processes. They can also be used to aid identification of genetic and environmental factors involved in such pathways, and thereby lead to an understanding of influences on traits across the entire population. Finally, in some cases, they may be used to gauge treatment response, and assist screening and clinical characterization of phenotype. In addition, practical benefits of quantitative trait measures include improved statistical power relative to categorical classifications and (for some measures) efficiency. Ultimately, research across autism fields may benefit from incorporating quantitative trait measures as a complement to categorical diagnosis to advance understanding of autism and neurodevelopment.
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Affiliation(s)
- Kristen Lyall
- AJ Drexel Autism Institute, Drexel University, 3020 Market St, Suite 560, Philadelphia PA 19104
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9
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Yang J, Shen Y, Tian Y, Peng J, Fu X, Li Y, Ou J. Investigating and comparing the psychometric properties of the Chinese Mandarin version of social responsiveness scale-2 and its shortened version in preschool-age children with autism spectrum disorder. Asian J Psychiatr 2023; 79:103395. [PMID: 36495828 DOI: 10.1016/j.ajp.2022.103395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 10/11/2022] [Accepted: 10/14/2022] [Indexed: 12/12/2022]
Abstract
We aimed to investigate and compare the psychometric properties of the Chinese Mandarin Social Responsiveness Scale-2 (SRS-2) and its shortened version. The study assessed 670 children with autism spectrum disorder (ASD) aged 30-54 months and 138 typical developmental (TD) children of the same age in mainland China. Our item reliability test revealed that only 36 items of the 65 items in the Chinese Mandarin SRS-2 (Preschool) met the reliability criteria. Moreover, the shortened version of SRS-2 (Preschool) with four subscales and 30 items maintained strong correlations (r = 0.961) with the Chinese Mandarin SRS-2 (Preschool), and demonstrated improved psychometric performance on the 4-week test-retest reliability (intraclass correlations was 0.70), internal consistency (Cronbach's alpha 0.71-0.91), construct validity, and convergent validity with the Autism Diagnostic Observation Schedule, Autism Diagnostic Interview-Revised, and Child Behavior Checklist. Receiver operating characteristics (ROC) analyses showed excellent and comparable discriminant validity of the shortened version with an area under the curve of 0.992. Our data suggested a cutoff ≥ 22.5 for the shortened version, with good accuracy in screening autism symptoms (sensitivity=96.9 %, specificity=94.2 %). Our findings demonstrated that the shortened version of SRS-2 (Preschool) was a reliable and valid instrument for identifying preschoolers with ASD in mainland China.
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Affiliation(s)
- Jiaxin Yang
- Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Department of Emergency Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Yidong Shen
- National Clinical Research Center for Mental Disorders, Department of Psychiatry and Hunan Medical Center for Mental Health, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Yusheng Tian
- Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; National Clinical Research Center for Mental Disorders, Department of Psychiatry and Hunan Medical Center for Mental Health, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Juan Peng
- Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Department of Emergency Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Xi Fu
- Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Yamin Li
- Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.
| | - Jianjun Ou
- National Clinical Research Center for Mental Disorders, Department of Psychiatry and Hunan Medical Center for Mental Health, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China.
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10
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Romano ME, Buckley JP, Elliott AJ, Johnson CC, Paneth N. SPR Perspectives: scientific opportunities in the Environmental influences on Child Health Outcomes Program. Pediatr Res 2022; 92:1255-1261. [PMID: 34035428 PMCID: PMC8145190 DOI: 10.1038/s41390-021-01577-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 02/11/2021] [Indexed: 12/16/2022]
Abstract
Drawing upon extant data from existing pediatric cohorts and new follow-up of a diverse set of pediatric cohorts from across the United States, the Environmental influences on Child Health Outcomes (ECHO) Program creates the opportunity for novel and innovative investigations of many previously inaccessible scientific questions in the area of child health. We describe how the large sample size, diversity of participants, emphasis on team science, and infrastructure for improving research methodology make the ECHO Program a major research resource for improving our understanding of early life determinants of childhood health and well-being. Pediatric researchers leverage the unique features of the ECHO Program to address research questions with the potential to yield far-reaching and long-term impacts on child health. IMPACT: The ECHO Program unites pediatric cohorts from across the United States, allowing for investigations of compelling research questions that were previously infeasible due to limited sample sizes or lack of participant diversity. The focus of the ECHO Program on team science, solution-oriented research, and methodological innovation propels novel scientific investigations that are responsive to the needs of a wide range of stakeholders. Features of the ECHO program's infrastructure poise its investigators to rapidly launch research endeavors that are responsive to time-sensitive and critical needs within the realm of pediatric research.
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Affiliation(s)
- Megan E Romano
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA.
| | - Jessie P Buckley
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Amy J Elliott
- Avera Research Institute Center for Pediatric and Community Research, Sioux Falls, SD, USA
| | - Christine C Johnson
- Department of Public Health Sciences, Henry Ford Health System, Detroit, MI, USA
| | - Nigel Paneth
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, USA
- Department of Pediatrics and Human Development, College of Human Medicine, Michigan State University, East Lansing, MI, USA
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11
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Sari NP, Jansen PW, Blanken LME, Ruigrok ANV, Prinzie P, Tiemeier H, Baron-Cohen S, van IJzendoorn MH, White T. Maternal age, autistic-like traits and mentalizing as predictors of child autistic-like traits in a population-based cohort. Mol Autism 2022; 13:26. [PMID: 35705965 PMCID: PMC9199218 DOI: 10.1186/s13229-022-00507-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 06/03/2022] [Indexed: 11/10/2022] Open
Abstract
Background Many empirical studies suggest that higher maternal age increases the likelihood of having an autistic child. However, little is known about factors that may explain this relationship or if higher maternal age is related to the number of autistic-like traits in offspring. One possibility is that mothers who have a higher number of autistic-like traits, including greater challenges performing mentalizing skills, are delayed in finding a partner. The goal of our study is to assess the relationship between maternal age, mentalizing skills and autistic-like traits as independent predictors of the number of autistic-like traits in offspring. Methods In a population-based study in the Netherlands, information on maternal age was collected during pre- and perinatal enrolment. Maternal mentalizing skills and autistic-like traits were assessed using the Reading the Mind in the Eyes Test and the Autism Spectrum Quotient, respectively. Autistic-like traits in children were assessed with the Social Responsiveness Scale. A total of 5718 mother/child dyads had complete data (Magechild = 13.5 years; 50.2% girls). Results The relationship between maternal age and autistic-like traits in offspring best fits a U-shaped curve. Furthermore, higher levels of autistic features in mothers are linked to higher levels of autistic-like traits in their children. Lower mentalizing performance in mothers is linked to higher levels of autistic-like traits in their children. Limitations We were able to collect data on both autistic-like traits and the mentalizing skills test in a large population of mothers, but we did not collect these data in a large number of the fathers. Conclusions The relationships between older and younger mothers may have comparable underlying mechanisms, but it is also possible that the tails of the U-shaped curve are influenced by disparate mechanisms. Supplementary Information The online version contains supplementary material available at 10.1186/s13229-022-00507-4.
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Affiliation(s)
- Novika Purnama Sari
- Department Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands. .,Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre, Rotterdam, The Netherlands. .,Generation R Study Group, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.
| | - Pauline W Jansen
- Department Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands.,Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Laura M E Blanken
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre, Rotterdam, The Netherlands.,Generation R Study Group, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Psychiatry, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Amber N V Ruigrok
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Peter Prinzie
- Department Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre, Rotterdam, The Netherlands.,Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Simon Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Marinus H van IJzendoorn
- Department Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands.,Research Department of Clinical Educational and Health Psychology, UCL, University of London, London, UK
| | - Tonya White
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre, Rotterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus University Medical Centre, Rotterdam, The Netherlands
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12
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Chun J, Bong G, Han JH, Oh M, Yoo HJ. Validation of Social Responsiveness Scale for Korean Preschool Children With Autism. Psychiatry Investig 2021; 18:831-840. [PMID: 34500507 PMCID: PMC8473854 DOI: 10.30773/pi.2021.0182] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 07/05/2021] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE This cross-cultural study aims to examine the psychometric properties of the Social Responsiveness Scale (SRS) and to determine the best-estimate-cut-off scores for the diagnosis of autism spectrum disorder (ASD) in Korean preschool children. METHODS A total of 563 children was recruited from multiple sources, including Seoul National University Bundang Hospital. Participants were assessed by a multidisciplinary research team using multiple diagnostic tools based on DSM-5 diagnostic criteria. Discriminative validity was tested by comparing the difference in SRS scores between ASD and non-ASD groups. Convergent validity was tested by examining correlations between SRS scores with other diagnostic instruments. A receiver operation characteristic curve analysis was conducted to test the sensitivity and specificity of SRS and to determine the best-estimate-cut-off scores for screening ASD in Korean preschool children. RESULTS There were significant differences in the total SRS scores between the ASD (n=242) and non-ASD group (n=321) (p<0.01, 95% confidence interval [CI]: 14.08-17.24). The differences were significant even after adjusting for age. SRS scores were significantly correlated with other prescreening diagnostic tools for ASD. The best-estimate cut-off score to screen ASD was 55 (area under curve=0.88, sensitivity 78.1%, specificity 86.6%). CONCLUSION The SRS is a valid and reliable instrument to screen and aid in the diagnosis of ASD in Korean preschool children. The adjusted cut-off scores, notably lower than in the original U.S. version, may yield a more accurate diagnosis by reflecting transcultural differences.
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Affiliation(s)
- Jeeyoung Chun
- Department of Psychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Guiyoung Bong
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Jae Hyun Han
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Miae Oh
- Department of Psychiatry, Kyung Hee University Hospital, Seoul, Republic of Korea
| | - Hee Jeong Yoo
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.,Seoul National University College of Medicine, Seoul, Republic of Korea
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