Unravelling self-regulation in early childhood: protocol for the longitudinal SPROUTS study.
Development
Early childhood
Executive function
Longitudinal
Preschool
Primary school
Self-control
Self-regulation
Transition to school
Journal
BMC psychology
ISSN: 2050-7283
Titre abrégé: BMC Psychol
Pays: England
ID NLM: 101627676
Informations de publication
Date de publication:
31 Oct 2024
31 Oct 2024
Historique:
received:
26
09
2024
accepted:
11
10
2024
medline:
1
11
2024
pubmed:
1
11
2024
entrez:
1
11
2024
Statut:
epublish
Résumé
Enough is known about self-regulation to establish it as a priority target for education and intervention efforts beginning in early childhood, yet not enough to meaningfully and reliably alter developmental trajectories. Rather than resigning our aspirations, we need more nuanced and integrative understanding of self-regulation abilities and change. Launching in 2024, SPROUTS is a 3-year longitudinal study of early self-regulation, beginning in the pre-school period (3-5 years old at Wave 1) with retrospective data back to birth and annual data collection across the transition to school period (ages 5-7 years at Wave 3). Data will be collected on children's self-regulation, related abilities, outcomes, as well as prior and current contexts. One nested study within each Wave-that contributes complementary insights via supplementary and in-depth methods and data-will enable further exploration of contemporary issues related to self-regulation. Insights generated can potentiate more effective intervention and education efforts by: improving intervention cost-benefit ratios; identifying likely mechanisms of change; easing burdens of unhealthy and antisocial behaviours associated with low self-regulation; and, most importantly, contributing to giving children the best early start to life. These benefits are timely in the context of intense policy and educational interest in fostering children's self-regulation. Open Science Framework: osf.io/maqdg. Date of registration: 26 Sep 2024.
Sections du résumé
BACKGROUND
BACKGROUND
Enough is known about self-regulation to establish it as a priority target for education and intervention efforts beginning in early childhood, yet not enough to meaningfully and reliably alter developmental trajectories. Rather than resigning our aspirations, we need more nuanced and integrative understanding of self-regulation abilities and change.
METHODS
METHODS
Launching in 2024, SPROUTS is a 3-year longitudinal study of early self-regulation, beginning in the pre-school period (3-5 years old at Wave 1) with retrospective data back to birth and annual data collection across the transition to school period (ages 5-7 years at Wave 3). Data will be collected on children's self-regulation, related abilities, outcomes, as well as prior and current contexts. One nested study within each Wave-that contributes complementary insights via supplementary and in-depth methods and data-will enable further exploration of contemporary issues related to self-regulation.
DISCUSSION
CONCLUSIONS
Insights generated can potentiate more effective intervention and education efforts by: improving intervention cost-benefit ratios; identifying likely mechanisms of change; easing burdens of unhealthy and antisocial behaviours associated with low self-regulation; and, most importantly, contributing to giving children the best early start to life. These benefits are timely in the context of intense policy and educational interest in fostering children's self-regulation.
TRIAL REGISTRATION
BACKGROUND
Open Science Framework: osf.io/maqdg. Date of registration: 26 Sep 2024.
Identifiants
pubmed: 39482751
doi: 10.1186/s40359-024-02077-x
pii: 10.1186/s40359-024-02077-x
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
609Subventions
Organisme : Australian Research Council
ID : FT230100629
Organisme : Australian Research Council
ID : FT230100629
Informations de copyright
© 2024. The Author(s).
Références
Montroy JJ, Bowles RP, Skibbe LE, McClelland MM, Morrison FJ. The development of self-regulation across early childhood. Dev Psychol. 2016;2016. https://doi.org/10.1037/dev0000159 .
Robson DA, Allen MS, Howard SJ. Self-regulation in childhood as a predictor of future outcomes: a meta-analytic review. Psychol Bull. 2020. https://doi.org/10.1037/bul0000227 .
doi: 10.1037/bul0000227
pubmed: 31904248
Howard SJ, Williams K. Early self-regulation, early self-regulatory change, and their longitudinal relations to adolescents’ academic, health, and mental wellbeing outcomes. J Dev Behav Pediatr. 2018. https://doi.org/10.1097/DBP.0000000000000578 .
doi: 10.1097/DBP.0000000000000578
pubmed: 29781830
Moffitt TE, Arseneault L, Belsky D, Dickson N, Hancox RJ, Harrington H, et al. A gradient of childhood self-control predicts health, wealth, and public safety. Proc Natl Acad Sci. 2011. https://doi.org/10.1073/pnas.1010076108 .
Day N, Paas F, Kervin L, Howard SJ. A systematic scoping review of Pre-school Self-Regulation interventions from a self-determination theory perspective. Int J Environ Res Public Health. 2022. https://doi.org/10.3390/ijerph19042454 .
doi: 10.3390/ijerph19042454
pubmed: 35564358
Muir R, Howard SJ, Kervin L. A systematic review of experimental interventions targeting the enhancement of self-regulation and/or executive functioning in a preschool setting. Educational Psychol Rev. 2022. https://doi.org/10.1007/s10648-023-09740-6 .
doi: 10.1007/s10648-023-09740-6
Rothbart MK. Temperament in childhood: a Framework. In: Kohnstamm GA, Bates JE, Rothbart MK, editors. Temperament in childhood. Chichester: Wiley; 1989. pp. 59–72.
Wei WS, McCoy DC, Hanno EC. Classroom-level peer self-regulation as a predictor of individual self-regulatory and social-emotional development in Brazil. J Appl Dev Psychol. 2021. https://doi.org/10.1016/j.appdev.2021.101347 .
doi: 10.1016/j.appdev.2021.101347
McClelland MM, Geldhof GJ, Cameron CE, Wanless SB. Development and self-regulation. In: Lerner RM, editor. Handbook of child psychology and developmental science. Wiley; 2015. pp. 1–34. https://doi.org/10.1002/9781118963418.childpsy114 .
Shanker S. Report of the 2012 thinker in residence: Self-regulation. Commissioner for Children and Young People Western Australia. 2012. https://www.ccyp.wa.gov.au/media/1769/report-2012-thinker-in-residence-stuart-shanker-june-2012.pdf . Accessed 24 Sep 2024.
Baumeister RF, Heatherton TF. Self-regulation failure: an overview. Psychol Inq. 1996. https://doi.org/10.1207/s15327965pli0701_1 .
doi: 10.1207/s15327965pli0701_1
Burman JT, Green CD, Shanker S. On the meanings of Self-Regulation: Digital Humanities in Service of conceptual clarity. Child Dev. 2015. https://doi.org/10.1111/cdev.12395 .
doi: 10.1111/cdev.12395
pubmed: 26234744
Greene JA. Self-regulation in education. New York: Routledge; 2017. https://doi.org/10.4324/9781315537450 .
doi: 10.4324/9781315537450
Blair C, Raver CC. School Readiness and Self-Regulation: a Developmental Psychobiological Approach. Ann Rev Psychol. 2015. https://doi.org/10.1146/annurev-psych-010814-015221 .
doi: 10.1146/annurev-psych-010814-015221
Carver CS, Scheier MF. The self-attention-induced feedback loop and social facilitation. J Exp Soc Psychol. 1981. https://doi.org/10.1007/978-1-4612-5887-2_15 .
doi: 10.1007/978-1-4612-5887-2_15
Lengua LJ. The contribution of emotionality and self-regulation to the understanding of children’s response to multiple risk. Child Dev. 2002. https://doi.org/10.1111/1467-8624.00397 .
doi: 10.1111/1467-8624.00397
pubmed: 14717249
Wass SV, Scerif G, Johnson MH. Training attentional control and working memory – is younger. Better? Dev Rev. 2012. https://doi.org/10.1016/j.dr.2012.07.001 .
doi: 10.1016/j.dr.2012.07.001
Heckman JJ. Skill formation and the Economics of investing in Disadvantaged Children. Science. 2006. https://doi.org/10.1126/science.1128898 .
doi: 10.1126/science.1128898
pubmed: 16809525
Howard SJ, Vasseleu E, Neilsen-Hewett C, de Rosnay M, Williams KE. Predicting Academic School readiness and risk status from different Assessment approaches and constructs of early self-regulation. Child Youth Care Forum. 2022. https://doi.org/10.1007/s10566-021-09636-y .
doi: 10.1007/s10566-021-09636-y
McClelland MM, Cameron CE, Duncan R, Bowles RP, Acock AC, Miao A, et al. Predictors of early growth in academic achievement: the head-toes-knees-shoulders task. Front Psychol. 2014. https://doi.org/10.3389/fpsyg.2014.00599 .
doi: 10.3389/fpsyg.2014.00599
pubmed: 25071619
Howard SJ, Neilsen-Hewett C, de Rosnay M, Vasseleu E, Melhuish E. Evaluating the viability of a structured observational approach to assessing early self-regulation. Early Child Res Q. 2019. https://doi.org/10.1016/j.ecresq.2019.03.003 .
doi: 10.1016/j.ecresq.2019.03.003
Howard SJ, Melhuish EC. An early years Toolbox (EYT) for assessing early executive function, language, self-regulation, and social development: validity, reliability, and preliminary norms. J Psychoeducational Assess. 2017. https://doi.org/10.1177/0734282916633009 .
doi: 10.1177/0734282916633009
Obradovic J, Sulik MJ, Finch JE, Tirado-Strayer N. Assessing students’ executive functions in the classroom: validating a scalable group-based procedure. J Appl Dev Psychol. 2018. https://doi.org/10.1016/j.appdev.2017.03.003 .
doi: 10.1016/j.appdev.2017.03.003
Howard SJ, Neilsen-Hewett C, de Rosnay M, Melhuish EC, Buckley-Walker K. Validity, reliability, and viability of pre-school educators’ use of early years toolbox (EYT) early numeracy. Australasian J Early Child. 2022. https://doi.org/10.1177/18369391211061188 .
doi: 10.1177/18369391211061188
Australian Bureau of Statistics. Census: Variables index. 2021. https://www.abs.gov.au/census/guide-census-data/census-dictionary/2021/variables-index . Accessed 25 Sep 2024.
Australian Institute for Family Studies. Longitudinal Study of Australian Children: Data user guide. 2023. https://growingupinaustralia.gov.au/data-and-documentation/data-user-guide . Accessed 25 Sep 2024.
Centre of Excellence for the Digital Child. Australian Children of the Digital Age (ACODA). 2024. https://acoda.org.au . Accessed 25 September 2024.
Matheny AP, Wachs TD, Ludwig JL, Phillips K. Bring order out of chaos: psychometric characteristics of the comfusion, hubbub, and order scale. J Appl Dev Psychol. 1995. https://doi.org/10.1037/t10159-000 .
doi: 10.1037/t10159-000
Gelfand MJ, Raver J, Nishii L, Leslie LM, Lun J, Lim BC, et al. Differences between tight and loose cultures: a 33-nation study. Science. 2011. https://doi.org/10.1126/science.1197754 .
doi: 10.1126/science.1197754
pubmed: 21617077
Dunn L, Magalhaes LC, Mancini MC. Internal structure of the children helping out: responsibilities, expectations, and supports (CHORES) measure. Am J Occup Ther. 2014. https://doi.org/10.5014/ajot.2014.010454 .
doi: 10.5014/ajot.2014.010454
pubmed: 24797192
Domoff SE, Harrison K, Gearhardt AN, Gentile DA, Lumeng JC, Miller AL. Development and validation of the problematic media use measure: a parent report measure of screen media addiction in children. Psychol Popular Media Cult. 2019. https://doi.org/10.1037/t70874-000 .
doi: 10.1037/t70874-000
Goodman R. The strengths & difficulties Questionnaire: a research note. J Child Psychol Psychiatry. 1997. https://doi.org/10.1037/t00540-000 .
doi: 10.1037/t00540-000
pubmed: 9255702
Hager ER, Quigg AM, Black MM, Coleman SM, Heeren T, Rose-Jacobs R, et al. Development and validity of a 2-item screen to identify families at risk for food insecurity. Pediatrics. 2010. https://doi.org/10.1542/peds.2009-3146 .
doi: 10.1542/peds.2009-3146
pubmed: 20660556
Blake JA, Farugia TL, Brooke A, Malacova E, Lawrence D, Thomas HJ, et al. The Kessler Psychological Distress Scale in Australian adolescents: analysis of the second Australian child and Adolescent Survey of Mental Health and Wellbeing. Australian New Z J Psychiatry. 2024. https://doi.org/10.1177/00048674231216601 .
doi: 10.1177/00048674231216601
Julian LJ. Measures of anxiety: state-trait anxiety inventory (STAI), Beck anxiety inventory (BAI), and hospital anxiety and depression scale-anxiety (HADS-A). Arthritis Care Res. 2011. https://doi.org/10.1002/acr.20561 .
doi: 10.1002/acr.20561
Kaufman EA, Xia M, Fosco G, Yaptangco M, Skidmore CR, Crowell SE. The difficulties in emotion regulation Scale Short Form (DERS-SF): validation and replication in adolescents and adult samples. J Psychopathol Behav Assess. 2016. https://doi.org/10.1037/t89267-000 .
doi: 10.1037/t89267-000
Simkiss DE, McCallum F, Fan EEY, Oates JM, Kimani PK, Stewart-Brown S. Validation of the mothers object relations scales in 2–4 year old children and comparison with the child-parent relationship scale. Health Qual Life Outcomes. 2013. https://doi.org/10.1186/1477-7525-11-49 .
doi: 10.1186/1477-7525-11-49
pubmed: 23518176
Howard SJ, Vasseleu E, Batterham M, Neilsen-Hewett C. Everyday practices and activities to improve pre-school self-regulation: Cluster RCT evaluation of the PRSIST program. Front Psychol. 2022. https://doi.org/10.3389/fpsyg.2020.00137 .
doi: 10.3389/fpsyg.2020.00137
pubmed: 36687934
Pianta RC. Student-Teacher Relationship Scale (STRS): Professional manual. Lutz: Psychological Assessment Resources; 2001.
Peterson CC, Slaughter VP, Paynter J. Social maturity and theory of mind in typically developing children and those on the autism spectrum. J Child Psychol Psychiatry. 2007. https://doi.org/10.1111/j.1469-7610.2007.01810.x .
doi: 10.1111/j.1469-7610.2007.01810.x
pubmed: 18093030
Oates T, Jensen D. The effects of training set size on decision tree complexity. Proceedings of Machine Learning Research. 1997.
Knell M. Keeping pace and future proofing with predictive technology – how data and new technology trends will shape the future of business [panel discussion]. CDAO Brisbane; 2022.