Precursors of self-regulation in infants at elevated likelihood for autism spectrum disorder.


Journal

Developmental science
ISSN: 1467-7687
Titre abrégé: Dev Sci
Pays: England
ID NLM: 9814574

Informations de publication

Date de publication:
09 2022
Historique:
revised: 19 11 2021
received: 28 06 2021
accepted: 04 02 2022
pubmed: 18 2 2022
medline: 27 8 2022
entrez: 17 2 2022
Statut: ppublish

Résumé

Research concerning temperament in children and adults with autism spectrum disorder (ASD) has suggested a consistent profile of low positive affect, high negative affect, and low regulation (Visser et al., 2016). One area receiving less attention is individual differences among children diagnosed with ASD. The primary objective of this study was to use a person-centered approach to explore heterogeneity of early temperament precursors of regulation in a large sample of infants with elevated familial likelihood of ASD. Early precursors of regulation included temperament assessed at 6, 12, and 24 months whereas outcome measures were diagnosis of ASD, cognitive ability and adaptive behavior at 36 months. Participants included 176 low-likelihood and 473 elevated-likelihood infants, 129 of whom were diagnosed with ASD at 3 years. Results supported a three-profile solution: a well-regulated profile (high positive affect and high attentional focus and shifting), a low attention focus profile (higher attentional shifting compared to attentional focus), and a low attention shifting profile (higher attentional focus compared to attentional shifting). A higher proportion of children diagnosed with ASD were classified into the low attention shifting profile. Furthermore, children with the well-regulated profile were differentiated from the other profiles by a pattern of higher social competence and lower dysregulation whereas children with the low attention focus profile were distinguished from the other profiles by higher cognitive ability at 3 years. The findings indicate that the combination of early positive affect with attention measures may provide an enhanced tool for prediction of self-regulation and later outcomes.

Identifiants

pubmed: 35174584
doi: 10.1111/desc.13247
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e13247

Subventions

Organisme : CIHR
Pays : Canada

Informations de copyright

© 2022 John Wiley & Sons Ltd.

Références

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). American Psychiatric Association.
Asparouhov, T., & Muthén, B. (2014). Auxiliary variables in mixture modeling: Using the BCH method in Mplus to estimate a distal outcome model and an arbitrary secondary model. Mplus Web Notes, 21(2), 1-22.
Benjamini, Y., Heller, R., & Yekutieli, D. (2009). Selective inference in complex research. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 367(1906), 4255-4271. https://doi.org/10.1098/rsta.2009.0127
Bornstein, M. H., & Colombo, J. (2012). Infant cognitive functioning and mental development. In S. M. Pauen (Ed.), The Jacobs foundation series on adolescence. Early childhood development and later outcome (pp. 118-147). Cambridge University Press.
Bryson, S., Garon, N., McMullen, T., Brian, J., Zwaigenbaum, L., Armstrong, V., Roberts, W., Smith, I., & Szatmari, P. (2018). Impaired disengagement of attention and its relationship to emotional distress in infants at high-risk for autism spectrum disorder. Journal of Clinical and Experimental Neuropsychology, 40(5), 487-501. https://doi.org/10.1080/13803395.2017.1372368
Bryson, S. E., Zwaigenbaum, L., Brian, J., & Roberts, W. (2006). Autism Parent Screen for Infants (questionnaire).
Bryson, S. E., Zwaigenbaum, L., McDermott, C., Rombough, V., & Brian, J. (2008). The autism observation scale for infants: Scale development and reliability data. Journal of Autism and Developmental Disorders, 38(4), 731-738. https://doi.org/10.1007/s10803-007-0440-y
Bussu, G., Jones, E. J., Charman, T., Johnson, M. H., & Buitelaar, J. K. (2019). Latent trajectories of adaptive behaviour in infants at high and low familial risk for autism spectrum disorder. Molecular Autism, 10(1), 1-12. https://doi.org/10.1186/s13229-019-0264-6
Carter, A. S., & Briggs-Gowan, M. J. (2006). Infant-toddler social and emotional assessment examiners manual. PsychCorp.
Carter, A. S., Briggs-Gowan, M. J., Jones, S. M., & Little, T. D. (2003). The infant-toddler social and emotional assessment (itsea): Factor structure, reliability, and validity. Journal of Abnormal Child Psychology, 31(5), 495-514. https://doi.org/10.1023/A:1025449031360
Chetcuti, L., Uljarević, M., Varcin, K. J., Boutrus, M., Wan, M. W., Green, J., Iacono, T., Dissanayake, C., Whitehouse, A. J. O., & Hudry, K. (2020). Subgroups of temperament associated with social-emotional difficulties in infants with early signs of autism. Autism Research, 13(12), 2094-2101. https://doi.org/10.1002/aur.2381
Ellenbogen, M. A., Linnen, A. M., Grumet, R., Cardoso, C., & Joober, R. (2012). The acute effects of intranasal oxytocin on automatic and effortful attentional shifting to emotional faces. Psychophysiology, 49(1), 128-137. https://doi.org/10.1111/j.1469-8986.2011.01278.x
Farmer, C., Golden, C., & Thurm, A. (2016). Concurrent validity of the differential ability scales, second edition with the Mullen Scales of Early Learning in young children with and without neurodevelopmental disorders. Child Neuropsychology, 22(5), 556-569. https://doi.org/10.1080/09297049.2015.1020775
Feldman, R. (2016). The neurobiology of mammalian parenting and the biosocial context of human caregiving. Hormones and Behavior, 77, 3-17. https://doi.org/10.1016/j.yhbeh.2015.10.001
Ferguson, S. L., Moore, E. W. G., & Hull, D. M. (2020). Finding latent groups in observed data: A primer on latent profile analysis in Mplus for applied researchers. International Journal of Behavioral Development, 44(5), 458-468. https://doi.org/10.1177/0165025419881721
Garon, N., Bryson, S. E., Zwaigenbaum, L., Smith, I. M., Brian, J., Roberts, W., & Szatmari, P. (2009). Temperament and its relationship to autistic symptoms in a high-risk infant sib cohort. Journal of Abnormal Child Psychology, 37(1), 59-78. https://doi.org/10.1007/s10802-008-9258-0
Garon, N., Zwaigenbaum, L., Bryson, S., Smith, I. M., Brian, J., Roncadin, C., Vaillancourt, T., Armstrong, V., Sacrey, L.-A. R., & Roberts, W. (2016). Temperament and its association with autism symptoms in a high-risk population. Journal of Abnormal Child Psychology, 44(4), 757-769. https://doi.org/10.1007/s10802-015-0064-1
Gartstein, M. A., & Rothbart, M. K. (2003). Studying infant temperament via the revised infant behavior questionnaire. Infant Behavior and Development, 26(1), 64-86. https://doi.org/10.1016/S0163-6383(02)00169-8
Geva, R., & Feldman, R. (2008). A neurobiological model for the effects of early brainstem functioning on the development of behavior and emotion regulation in infants: Implications for prenatal and perinatal risk. Journal of Child Psychology and Psychiatry, 49(10), 1031-1041. https://doi.org/10.1111/j.1469-7610.2008.01918.x
Gilliam, W. S., & Mayes, L. C. (2004). Integrating clinical and psychometric approaches: developmental assessment and the infant mental health evaluation. In R. DelCarmen-Wiggins & A. Carter (Eds.), 1 (pp. 185-203). Oxford University Press.
Goldsmith, H. H. (1996). Toddler behavior assessment questionnaire. University of Oregon, Department of Psychiatry.
Hendry, A., Johnson, M. H., & Holmboe, K. (2019). Early development of visual attention: Change, stability, and longitudinal associations. Annual Review of Developmental Psychology, 1, 251-275. https://doi.org/10.1146/annurev-devpsych-121318-085114
Hendry, A., Jones, E. J. H., Bedford, R., Andersson Konke, L., Begum Ali, J., Bölte, S., Brocki, K. C., Demurie, E., Johnson, M., Pijl, M. K. J., Roeyers, H., & Charman, T. (2020). Atypical development of attentional control associates with later adaptive functioning, autism and ADHD traits. Journal of Autism and Developmental Disorders, 50(11), 4085-4105. https://doi.org/10.1007/s10803-020-04465-9
Johnson, M. H., Gliga, T., Jones, E., & Charman, T. (2015). Annual research review: Infant development, autism, and ADHD-early pathways to emerging disorders. Journal of Child Psychology and Psychiatry, 56(3), 228-247. https://doi.org/10.1111/jcpp.12328
Kannass, K. N., & Oakes, L. M. (2008). The development of attention and its relations to language in infancy and toddlerhood. Journal of Cognition and Development, 9(2), 222-246. https://doi.org/10.1080/15248370802022696
Kostyrka-Allchorne, K., Wass, S. V., & Sonuga-Barke, E. J. S. (2020). Research review: Do parent ratings of infant negative emotionality and self-regulation predict psychopathology in childhood and adolescence? A systematic review and meta-analysis of prospective longitudinal studies. Journal of Child Psychology and Psychiatry, 61(4), 401-416. https://doi.org/10.1111/jcpp.13144
Lo, Y., Mendell, N. R., & Rubin, D. B. (2001). Testing the number of components in a normal mixture. Biometrika, 88(3), 767-778. https://doi.org/10.1093/biomet/88.3.767
Lord, C., Rutter, M., & Le Couteur, A. (1994). Autism diagnostic interview-revised: A revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders. Journal of Autism and Developmental Disorders, 24, 659-685. https://doi.org/10.1007/BF02172145
Lord, C., Risi, S., Lambrecht, L., Cook Jr., E. H., Leventhal, B. L., DiLavore, P. C., Pickles, A., & Rutter, M. (2000). The Autism Diagnostic Observation Schedule-Generic: A standard measure of social and communication deficits associated with the spectrum of autism. Journal of Autism and Developmental Disorders, 30, 205-223. https://doi.org/10.1023/A:1005592401947
Lucht, M. J., Barnow, S., Sonnenfeld, C., Rosenberger, A., Grabe, H. J., Schroeder, W., Völzke, H., Freyberger, H. J., Herrmann, F. H., Kroemer, H., & Rosskopf, D. (2009). Associations between the oxytocin receptor gene (OXTR) and affect, loneliness and intelligence in normal subjects. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 33(5), 860-866. https://doi.org/10.1016/j.pnpbp.2009.04.004
Mallise, C. A., Lane, A. E., Woolard, A. J., Whalen, O. M., Murphy, V. E., Karayanidis, F., & Campbell, L. E. (2020). The temperament features associated with autism spectrum disorder in childhood: A systematic review. Research in Developmental Disabilities, 104, 103711. https://doi.org/10.1016/j.ridd.2020.103711
Masyn, K. E. (2013). Latent class analysis and finite mixture modeling. In T. Little (Ed.), Oxford handbook of quantitative methods: Statistical analysis,Vol. 2 (pp. 551-611). Oxford University Press.
Mundy, P., & Newell, L. (2007). Attention, joint attention, and social cognition. Current Directions in Psychological Science, 16(5), 269-274. https://doi.org/10.1111/j.1467-8721.2007.00518.x
Mullen, E. M. (1995). Mullen scales of early learning - AGS edition. AGS Publishing.
Muthén, L. K., & Muthén, B. O. (1998-2015). Mplus user's guide. Seventh edition. Muthén & Muthén.
Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling: A Multidisciplinary Journal, 14(4), 535-569. https://doi.org/10.1080/10705510701575396
Osborne, J. (2010). Improving your data transformations: Applying the Box-Cox transformation. Practical Assessment, Research, and Evaluation, 15(1), 12.
Paterson, S. J., Wolff, J. J., Elison, J. T., Winder-Patel, B., Zwaigenbaum, L., Estes, A., Pandey, J., Schultz, R. T., Botteron, K., Dager, S. R., Hazlett, H. C., & Piven, J. (2019). The importance of temperament for understanding early manifestations of autism spectrum disorder in high-risk infants. Journal of Autism and Developmental Disorders, 49(7), 2849-2863. https://doi.org/10.1007/s10803-019-04003-2
Pijl, M. K. J., Bussu, G., Charman, T., Johnson, M. H., Jones, E. J. H., Pasco, G., Oosterling, I. J., Rommelse, N. N. J., & Buitelaar, J. K. (2019). Temperament as an early risk marker for Autism Spectrum Disorders? A longitudinal study of high-risk and low-risk infants. Journal of Autism and Developmental Disorders, 49(5), 1825-1836. https://doi.org/10.1007/s10803-018-3855-8
Posner, M. I., Rothbart, M. K., & Ghassemzadeh, H. (2020). Developing attention in typical children related to disabilities. In Handbook of clinical neurology (Vol. 173, pp. 215-223). Elsevier. https://doi.org/10.1016/B978-0-444-64150-2.00019-8
Posner, M. I., Rothbart, M. K., Sheese, B. E., & Voelker, P. (2012). Control networks and neuromodulators of early development. Developmental Psychology, 48(3), 827. https://doi.org/10.1037/a0025530
Putnam, S. P. (2012). Positive emotionality. In M. Zentner & R.L. Shiner (Eds.), Handbook of temperament (pp. 105-123). The Guilford Press.
Putnam, S. P., Rothbart, M. K., & Gartstein, M. A. (2008). Homotypic and heterotypic continuity of fine-grained temperament during infancy, toddlerhood, and early childhood. Infant and Child Development, 17(4), 387-405. https://doi.org/10.1002/icd.582
Riley, E., Paynter, J., & Gilmore, L. (2019). Comparing the mullen scales of early learning and the preschool language scale-Fifth edition for young children with autism spectrum disorder. Advances in Neurodevelopmental Disorders, 3(1), 29-37. https://doi.org/10.1007/s41252-018-0084-2
Ros, R., & Graziano, P. A. (2020). A transdiagnostic examination of self-regulation: Comparisons across preschoolers with ASD, ADHD, and typically developing children. Journal of Clinical Child & Adolescent Psychology, 49(4), 493-508. https://doi.org/10.1080/15374416.2019.1591280
Rothbart, M. K. (1981). Measurement of temperament in infancy. Child Development, 52, 569-578. https://doi.org/10.2307/1129176
Rothbart, M. K. (2012). Advances in temperament: History, concepts, and measures. In M. Zentner & R. L. Shiner (Eds.), Handbook of temperament (pp. 3-20). The Guilford Press.
Rothbart, M. K., & Bates, J. E. (1998). Temperament. In W. Damon & N. Eisenberg (Ed.), Handbook of child psychology: Social, emotional, and personality development (pp. 105-176). John Wiley & Sons, Inc.
Rothbart, M. K., Ellis, L. K., Rueda, M., & Posner, M. I. (2003). Developing mechanisms of temperamental effortful control. Journal of Personality, 71, 1113-1143. https://doi.org/10.1111/1467-6494.7106009
Rothbart, M. K., Sheese, B. E., Rueda, M. R., & Posner, M. I. (2011). Developing mechanisms of self-regulation in early life. Emotion Review: Journal of the International Society for Research on Emotion, 3(2), 207-213. https://doi.org/10.1177/1754073910387943
Sacrey, L. A. R., Armstrong, V. L., Bryson, S. E., & Zwaigenbaum, L. (2014). Impairments to visual disengagement in autism spectrum disorder: A review of experimental studies from infancy to adulthood. Neuroscience & Biobehavioral Reviews, 47, 559-577. https://doi.org/10.1016/j.neubiorev.2014.10.011
Schwarz, G. (1978). Estimating the dimension of a model. Annals of Statistics, 6(2), 461-464. https://doi.org/10.1214/aos/1176344136
Sclove, S. L. (1987). Application of model-selection criteria to some problems in multivariate analysis. Psychometrika, 52(3), 333-343. https://doi.org/10.1007/BF02294360
Sparrow, S. S., Balla, D. A., Cicchetti, D. V., & Harrison, P. L. (1984). Vineland adaptive behavior scales. Pearson.
Sparrow, S. S., Cichetti, D. V., & Balla, D. A. (2005). Vineland adaptive behavior scales (2nd ed.). Pearson.
Tost, H., Kolachana, B., Hakimi, S., Lemaitre, H., Verchinski, B. A., Mattay, V. S., Weinberger, D. R., & Meyer-Lindenberg, A. (2010). A common allele in the oxytocin receptor gene (OXTR) impacts prosocial temperament and human hypothalamic-limbic structure and function. Proceedings of the National Academy of Sciences, 107(31), 13936-13941. https://doi.org/10.1073/pnas.1003296107
Visser, J. C., Rommelse, N. N., Greven, C. U., & Buitelaar, J. K. (2016). Autism spectrum disorder and attention-deficit/hyperactivity disorder in early childhood: A review of unique and shared characteristics and developmental antecedents. Neuroscience & Biobehavioral Reviews, 65, 229-263. https://doi.org/10.1016/j.neubiorev.2016.03.019
Wermter, A. K., Kamp-Becker, I., Hesse, P., Schulte-Körne, G., Strauch, K., & Remschmidt, H. (2010). Evidence for the involvement of genetic variation in the oxytocin receptor gene (OXTR) in the etiology of autistic disorders on high-functioning level. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 153(2), 629-639. https://doi.org/10.1002/ajmg.b.31032

Auteurs

Nancy Garon (N)

Mount Allison University, Sackville, New Brunswick, Canada.

Lonnie Zwaigenbaum (L)

Departments of Pediatrics, University of Alberta, Edmonton, Alberta, Canada.
Department of Pediatrics, Autism Research Centre, Edmonton, Alberta, Canada.

Susan E Bryson (SE)

Dalhousie University/IWK Health Centre, Halifax, Nova Scotia, Canada.

Isabel M Smith (IM)

Dalhousie University/IWK Health Centre, Halifax, Nova Scotia, Canada.

Jessica Brian (J)

Bloorview Research Department of Pediatrics, Toronto, Ontario, Canada.
University of Toronto, Toronto, Ontario, Canada.

Caroline Roncadin (C)

McMaster Children's Hospital, Hamilton Health Sciences, Hamilton, Ontario, Canada.

Tracy Vaillancourt (T)

University of Ottawa, Ottawa, Ontario, Canada.

Vickie L Armstrong (VL)

Dalhousie University/IWK Health Centre, Halifax, Nova Scotia, Canada.

Lori-Ann R Sacrey (LR)

Departments of Pediatrics, University of Alberta, Edmonton, Alberta, Canada.
Department of Pediatrics, Autism Research Centre, Edmonton, Alberta, Canada.

Wendy Roberts (W)

ISAND, Toronto, Ontario, Canada.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH