Startseite A socio-ecological approach to understanding self-regulation among adolescents with developmental challenges and delays
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A socio-ecological approach to understanding self-regulation among adolescents with developmental challenges and delays

  • Yok-Fong Paat ORCID logo EMAIL logo , Satish Mahadevan Srinivasan und Mei-Ling Lin
Veröffentlicht/Copyright: 3. Dezember 2024
International Journal of Adolescent Medicine and Health
Aus der Zeitschrift International Journal of Adolescent Medicine and Health Band 36 Heft 6

Abstract

Drawing from the socio-ecological model, this study examined the relationships between child, family, and neighborhood/community factors and self-regulation among five subgroups of adolescents aged 12–17 years with developmental challenges and delays (Attention Deficit Disorder/Attention-Deficit/Hyperactivity Disorder, Autism/Autism Spectrum Disorder, developmental delay, learning disability, and intellectual disability). Data for this study came from the 2019 National Survey of Children’s Health, a nationally representative dataset (n=3,181). Using multiple regression analyses, we found that not all five subgroups of adolescents shared similar experiences. In sum, having good health and health insurance was positively associated with self-regulation, while adverse childhood experiences and being bullied were negatively linked to self-regulation. Family and neighborhood/community-related variables that were positively related to adolescents’ self-regulation consisted of parent-child closeness, having college-educated parents, household food security, and parents’ knowledge of where to obtain help in their neighborhood. Family variables negatively associated with adolescents’ self-regulation included living in two-parent households and receiving public assistance, but only for adolescents with intellectual disabilities. Socio-demographic variables significantly linked to adolescents’ self-regulation were biological sex, age, Hispanic ethnicity, and race. Future research and practice should focus on identifying and addressing the diverse ecological factors influencing adolescents’ social-emotional development to improve behavioral outcomes and support their transition to adulthood.

Keywords: socio-ecological model; self-regulation; developmental disabilities and delays; adolescence
Corresponding author: Yok-Fong Paat, PhD, Department of Social Work, The University of Texas at El Paso, 500 W. University Ave., El Paso, TX 79968, USA, E-mail:

  1. Research ethics: This study qualifies as exempt from review from the Institutional Review Board of The University of Texas at El Paso (IRB#: 1763958).

  2. Informed consent: This study utilized secondary data. Informed consent was previously obtained by the original principal investigators.

  3. Author contributions: Paat conceptualized the study, conducted the data analyses, wrote the first draft of the manuscript, and contributed to the revision process. Srinivasan and Lin assisted with editing and finalizing the manuscript. The authors accepted responsibility for the entire content of this manuscript and approved the submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors declared no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

References

1. Sawyer, SM, Azzopardi, PS, Wickremarathne, D, Patton, GC. The age of adolescence. Lancet Child Adolesc Health 2018;2:223–8. https://doi.org/10.1016/s2352-4642(18)30022-1.Suche in Google Scholar

2. World Health Organization. Adolescent health. [cited 2024 Mar 26]. Available from: https://www.who.int/health-topics/adolescent-health.Suche in Google Scholar

3. Posner, MI, Rothbart, MK. Developing mechanisms of self-regulation. Dev Psychopathol 2000;12:427–41. https://doi.org/10.1017/S0954579400003096.Suche in Google Scholar PubMed

4. Heatherton, TF. Neuroscience of self and self-regulation. Annu Rev Psychol 2011;62:363–90. https://doi.org/10.1146/annurev.psych.121208.131616.Suche in Google Scholar PubMed PubMed Central

5. Duckworth, AL, Grant, H, Loew, B, Oettingen, G, Gollwitzer, PM. Self‐regulation strategies improve self‐discipline in adolescents: benefits of mental contrasting and implementation intentions. Educ Psychol 2011;31:17–26. https://doi.org/10.1080/01443410.2010.506003.Suche in Google Scholar

6. Howard, SJ, Williams, KE. Early self-regulation, early self-regulatory change, and their longitudinal relations to adolescents’ academic, health, and mental well-being outcomes. J Dev Behav Pediatr 2018;39:489–96. https://doi.org/10.1097/dbp.0000000000000578.Suche in Google Scholar PubMed

7. Pandey, A, Hale, D, Das, S, Goddings, A, Blakemore, S, Viner, RM. Effectiveness of universal self-regulation–based interventions in children and adolescents: a systematic review and meta-analysis. JAMA Pediatr 2018;172:566–75. https://doi.org/10.1001/jamapediatrics.2018.0232.Suche in Google Scholar PubMed PubMed Central

8. Rural Health Information Hub. Ecological models. [cited 2024 Mar 26]. Available from: https://www.ruralhealthinfo.org/toolkits/health-promotion/2/theories-and-models/ecological.Suche in Google Scholar

9. Office of Disease Prevention and Health Promotion. Social determinants of health. [cited 2024 Mar 26]. Available from: https://health.gov/healthypeople/objectives-and-data/social-determinants-health.Suche in Google Scholar

10. Evans, GW, Li, D, Whipple, SS. Cumulative risk and child development. Psychol Bull 2013;139:1342–96. https://doi.org/10.1037/a0031808.Suche in Google Scholar PubMed

11. Liu, J, Lewis, G, Evans, L. Understanding aggressive behaviour across the lifespan. J Psychiatr Ment Health Nurs 2013;20:156–68. https://doi.org/10.1111/j.1365-2850.2012.01902.x.Suche in Google Scholar PubMed PubMed Central

12. Centers for Disease Control and Prevention. Facts about developmental disabilities. 2022. [cited 2024 Mar 26]. Available from: https://www.cdc.gov/ncbddd/developmentaldisabilities/facts.html.Suche in Google Scholar

13. Zablotsky, B, Black, LI, Maenner, MJ, Schieve, LA, Danielson, ML, Bitsko, RH, et al.. Prevalence and trends of developmental disabilities among children in the United States: 2009–2017. Pediatrics 2019;144:e20190811. https://doi.org/10.1542/peds.2019-0811.Suche in Google Scholar PubMed PubMed Central

14. Choo, YY, Agarwal, P, How, CH, Yeleswarapu, SP. Developmental delay: identification and management at primary care level. Singap Med J 2019;60:119–23. https://doi.org/10.11622/smedj.2019025.Suche in Google Scholar PubMed PubMed Central

15. Hogan, AJ. Social and medical models of disability and mental health: evolution and renewal. Can Med Assoc J 2019;191:E16–18. https://doi.org/10.1503/cmaj.181008.Suche in Google Scholar PubMed PubMed Central

16. Fisher, MH, Corr, C, Morin, L. Chapter seven – victimization of individuals with intellectual and developmental disabilities across the lifespan. Int Rev Res Dev Disabil 2016;51:233–80.10.1016/bs.irrdd.2016.08.001Suche in Google Scholar

17. Campbell, JA, Walker, RJ, Egede, LE. Associations between adverse childhood experiences, high-risk behaviors, and morbidity in adulthood. Am J Prev Med 2016;50:344–52. https://doi.org/10.1016/j.amepre.2015.07.022.Suche in Google Scholar PubMed PubMed Central

18. Gini, G, Pozzoli, T. Association between bullying and psychosomatic problems: a meta-analysis. Pediatrics 2009;123:1059–65. https://doi.org/10.1542/peds.2008-1215.Suche in Google Scholar PubMed

19. Holt, MK, Vivolo-Kantor, AM, Polanin, JR, Holland, KM, DeGue, S, Matjasko, JL, et al.. Bullying and suicidal ideation and behaviors: a meta-analysis. Pediatrics 2015;135:e496–509. https://doi.org/10.1542/peds.2014-1864.Suche in Google Scholar PubMed PubMed Central

20. Aarons, GA, Monn, AR, Leslie, LK, Garland, AF, Lugo, L, Hough, RL, et al.. Association between mental and physical health problems in high-risk adolescents: a longitudinal study. J Adolesc Health 2008;43:260–7. https://doi.org/10.1016/j.jadohealth.2008.01.013.Suche in Google Scholar PubMed PubMed Central

21. Murphey, D. Health insurance coverage improves child well-being. Child Trends; 2017. [cited 2024 Mar 26]. Available from: https://www.childtrends.org/publications/health-insurance-coverage-improves-child-well.Suche in Google Scholar

22. Teubert, D, Pinquart, M. The association between coparenting and child adjustment: a meta-analysis. Parenting Sci Pract 2010;10:286–307. https://doi.org/10.1080/15295192.2010.492040.Suche in Google Scholar

23. Lareau, A. Invisible inequality: social class and childrearing in black families and white families. Am Socio Rev 2002;67:747–76. https://doi.org/10.2307/3088916.Suche in Google Scholar

24. Thomas, PA, Liu, H, Umberson, D. Family relationships and well-being. Innov Aging 2017;1:igx025. https://doi.org/10.1093/geroni/igx025.Suche in Google Scholar PubMed PubMed Central

25. Becker, G, Tomes, N. Human capital and the rise and fall of families. J Labor Econ 1986;4:S1–39. https://doi.org/10.1086/298118.Suche in Google Scholar PubMed

26. Lut, I, Woodman, J, Armitage, A, Ingram, E, Harron, K, Hardelid, P. Health outcomes, healthcare use and development in children born into or growing up in single-parent households: a systematic review study protocol. BMJ Open 2021;11:e043361. https://doi.org/10.1136/bmjopen-2020-043361.Suche in Google Scholar PubMed PubMed Central

27. McLanahan, S. Fragile families and the reproduction of poverty. Ann Am Acad Polit Soc Sci 2009;621:111–31. https://doi.org/10.1177/0002716208324862.Suche in Google Scholar PubMed PubMed Central

28. Hilton, JM, Desrochers, S. Children’s behavior problems in single-parent and married-parent families. J Divorce & Remarriage 2002;37:13–36. https://doi.org/10.1300/j087v37n01_02.Suche in Google Scholar

29. Samadi, SA, McConkey, R, Abdollahi Boghrabadi, G. Parental satisfaction with caregiving across the life span to their children with developmental disabilities: a cross-sectional study in Iran. Int J Environ Res Publ Health 2020;17:1576. https://doi.org/10.3390/ijerph17051576.Suche in Google Scholar PubMed PubMed Central

30. Heinrich, CJ. Parents’ employment and children’s well-being. Future Child 2014;24:121–46. https://doi.org/10.1353/foc.2014.0000.Suche in Google Scholar PubMed

31. Davis-Kean, PE, Tang, S, Waters, NE. Parent education attainment and parenting. In: Bornstein, MH, editor. Handbook of Parenting. Routledge; 2019. Available from: https://www.routledgehandbooks.com/doi/10.4324/9780429401459-12.10.4324/9780429401459-12Suche in Google Scholar

32. Prickett, KC, Augustine, JM. Maternal education and investments in children’s health. J Marriage Fam 2016;78:7–25. https://doi.org/10.1111/jomf.12253.Suche in Google Scholar PubMed PubMed Central

33. Edelstein, S, Pergamit, MR, Ratcliffe, C. Characteristics of families receiving multiple public benefits. Urban Institute; 2014. [cited 2024 Mar 26]. Available from: https://www.urban.org/sites/default/files/publication/22366/413044-Characteristics-of-Families-Receiving-Multiple-Public-Benefits.PDF.Suche in Google Scholar

34. Duncan, GJ, Brooks-Gunn, J. Family poverty, welfare reform, and child development. Child Dev 2000;71:188–96. https://doi.org/10.1111/1467-8624.00133.Suche in Google Scholar PubMed

35. Perez-Escamilla, R, Pinheiro de Toledo Vianna, R. Food insecurity and the behavioral and intellectual development of children: a review of the evidence. J Appl Res Child 2012;3: Article 9. https://doi.org/10.58464/2155-5834.1071.Suche in Google Scholar

36. Moradi, S, Mirzababaei, A, Mohammadi, H, Moosavian, SP, Arab, A, Jannat, B, et al.. Food insecurity and the risk of undernutrition complications among children and adolescents: a systematic review and meta-analysis. Nutrition 2019;62:52–60. https://doi.org/10.1016/j.nut.2018.11.029.Suche in Google Scholar PubMed

37. Thomas, MMC, Miller, DP, Morrissey, TW. Food insecurity and child health. Pediatrics 2019;144:e20190397. https://doi.org/10.1542/peds.2019-0397.Suche in Google Scholar PubMed

38. Li, M, Johnson, SB, Musci, RJ, Riley, AW. Perceived neighborhood quality, family processes, and trajectories of child and adolescent externalizing behaviors in the United States. Soc Sci Med 2017;192:152–61. https://doi.org/10.1016/j.socscimed.2017.07.027.Suche in Google Scholar PubMed

39. Blair, LM, Ford, JL. Neighborhood context and the risk for developmental disabilities in early childhood. Matern Child Health J 2019;23:1213–19. https://doi.org/10.1007/s10995-019-02757-w.Suche in Google Scholar PubMed PubMed Central

40. Sampson, RJ, Byron Groves, W. Community structure and crime: testing social-disorganization theory. Am J Sociol 1989;94:774–802. https://doi.org/10.1086/229068.Suche in Google Scholar

41. Sampson, RJ, Raudenbush, SW, Earls, F. Neighborhoods and violent crime: a multilevel study of collective efficacy. Science 1997;277:918–24. https://doi.org/10.1126/science.277.5328.918.Suche in Google Scholar PubMed

42. Shaw, CR, McKay, HD. Juvenile delinquency and urban areas. Chicago, IL: University of Chicago Press; 1942.10.2307/1334446Suche in Google Scholar

43. Manturuk, KR. Urban homeownership and mental health: mediating effect of perceived sense of control. City Commun 2012;11:409–30. https://doi.org/10.1111/j.1540-6040.2012.01415.x.Suche in Google Scholar

44. Riina, EM, Lippert, A, Brooks-Gunn, J. Residential instability, family support, and parent-child relationships among ethnically diverse urban families. J Marriage Fam 2016;78:855–70. https://doi.org/10.1111/jomf.12317.Suche in Google Scholar PubMed PubMed Central

45. Sampson, RJ, Raudenbush, SW. Systematic social observation of public spaces: a new look at disorder in urban neighborhoods. Am J Sociol 1999;105:603–51. https://doi.org/10.1086/210356.Suche in Google Scholar

46. Sampson, R, Morenoff, J, Earls, F. Beyond social capital: spatial dynamics of collective efficacy for children. Am Socio Rev 1999;64:633–60. https://doi.org/10.2307/2657367.Suche in Google Scholar

47. Baker, E, Pham, N, Daniel, L, Bentley, R. How does household residential instability influence child health outcomes? A quantile analysis. Int J Environ Res Publ Health 2019;16:4189. https://doi.org/10.3390/ijerph16214189.Suche in Google Scholar PubMed PubMed Central

48. Cutrona, CE, Russell, DW, Brown, PA, Clark, LA, Hessling, RM, Gardner, KA. Neighborhood context, personality, and stressful life events as predictors of depression among African American women. J Abnorm Psychol 2005;114:3–15. https://doi.org/10.1037/0021-843x.114.1.3.Suche in Google Scholar

49. Stockdale, SE, Wells, KB, Tang, L, Belin, TR, Zhang, L, Sherbourne, CD. The importance of social context: neighborhood stressors, stress-buffering mechanisms, and alcohol, drug, and mental health disorders. Soc Sci Med 2007;65:1867–81. https://doi.org/10.1016/j.socscimed.2007.05.045.Suche in Google Scholar PubMed PubMed Central

50. Bedell, G, Coster, W, Law, M, Liljenquist, K, Kao, Y, Teplicky, R, et al.. Community participation, supports, and barriers of school-age children with and without disabilities. Arch Phys Med Rehabil 2013;94:315–23. https://doi.org/10.1016/j.apmr.2012.09.024.Suche in Google Scholar PubMed

51. Şahin, S, Kaya, KÖ, Köse, B, Kara, K. Investigation on participation, supports and barriers of children with specific learning disabilities. Res Dev Disabil 2020;101:103639. https://doi.org/10.1016/j.ridd.2020.103639.Suche in Google Scholar PubMed

52. Colver, AF, Dickinson, HO, Parkinson, K, Arnaud, C, Beckung, E, Fauconnier, J, et al.. Access of children with cerebral palsy to the physical, social and attitudinal environment they need: a cross-sectional European study. Disabil Rehabil 2011;33:28–35. https://doi.org/10.3109/09638288.2010.485669.Suche in Google Scholar PubMed

53. Child and Adolescent Health Measurement Initiative. National survey of children’s health, sampling and survey administration. 2019. [cited 2024 Mar 26]. Available from: https://www.childhealthdata.org.Suche in Google Scholar

54. U.S. Census Bureau. 2019 national survey of children’s health. 2020. [cited 2024 Mar 26]. Available from: https://www2.census.gov/programs-surveys/nsch/technical-documentation/methodology/2019-NSCH-Methodology-Report.pdf.Suche in Google Scholar

55. Tabachnick, BG, Fidell, LS. Using multivariate statistics, 7th ed. New York, NY: Pearson Education, Inc.; 2001.Suche in Google Scholar

56. Enders, CK. Applied missing data analysis. New York, NY: Guilford Press; 2010.Suche in Google Scholar

57. Meldrum, RC, Stults, BJ, Hay, C, Kernsmith, PD, Smith-Darden, JP. Adverse childhood experiences, developmental differences in impulse control and sensation seeking, and delinquency: a prospective multi-cohort study. J Crim Justice 2022;82:101993. https://doi.org/10.1016/j.jcrimjus.2022.101993.Suche in Google Scholar

58. Jackson, DB, Jones, MS, Semenza, DC, Testa, A. Adverse childhood experiences and adolescent delinquency: a theoretically informed investigation of mediators during middle childhood. Int J Environ Res Publ Health 2023;20:3202. https://doi.org/10.3390/ijerph20043202.Suche in Google Scholar PubMed PubMed Central

59. Centers for Disease Control and Prevention. Adverse childhood experiences (ACEs). 2023. [cited 2024 Mar 26]. Available from: https://www.cdc.gov/violenceprevention/aces/index.html.Suche in Google Scholar

60. Wolke, D, Lereya, ST. Long-term effects of bullying. Arch Dis Child 2015;100:879–85. https://doi.org/10.1136/archdischild-2014-306667.Suche in Google Scholar PubMed PubMed Central

61. Campbell, SB, Denham, SA, Howarth, GZ, Jones, SM, Whittaker, JV, Williford, AP, et al.. Commentary on the review of measures of early childhood social and emotional development: conceptualization, critique, and recommendations. J Appl Dev Psychol 2016;45:19–41. https://doi.org/10.1016/j.appdev.2016.01.008.Suche in Google Scholar

62. Williams, E, Musumeci, MB. Children with special health care needs: coverage, affordability, and HCBS access. 2021. [cited 2024 July 27]. Available from: https://www.kff.org/medicaid/issue-brief/children-with-special-health-care-needs-coverage-affordability-and-hcbs-access/.Suche in Google Scholar

63. Tetering, MAJV, Laan, AMVD, Kogel, CHD, Groot, RHMD, Jolles, J. Sex differences in self-regulation in early, middle and late adolescence: a large-scale cross-sectional study. PLoS One 2020;15:e0227607. https://doi.org/10.1371/journal.pone.0227607.Suche in Google Scholar PubMed PubMed Central

64. Lee, D, McLanahan, S. Family structure transitions and child development: instability, selection, and population heterogeneity. Am Socio Rev 2015;80:738–63. https://doi.org/10.1177/0003122415592129.Suche in Google Scholar PubMed PubMed Central

65. Daley, D, Birchwood, J. ADHD and academic performance: why does ADHD impact on academic performance and what can be done to support ADHD children in the classroom? Child Care Health Dev 2010;36:455–64. https://doi.org/10.1111/j.1365-2214.2009.01046.x.Suche in Google Scholar PubMed

66. McLaughlin, KA, Green, JG, Alegría, M, Jane Costello, E, Gruber, MJ, Sampson, NA, et al.. Food insecurity and mental disorders in a national sample of U.S. adolescents. J Am Acad Child Adolesc Psychiatry 2012;51:1293–303. https://doi.org/10.1016/j.jaac.2012.09.009.Suche in Google Scholar PubMed PubMed Central

67. Lu, S, Perez, L, Leslein, A, Hatsu, I. The relationship between food insecurity and symptoms of Attention-Deficit Hyperactivity Disorder in children: a summary of the literature. Nutrients 2019;11:659. https://doi.org/10.3390/nu11030659.Suche in Google Scholar PubMed PubMed Central

68. Kim, J. Neighborhood disadvantage and mental health: the role of neighborhood disorder and social relationships. Soc Sci Res 2010;39:260–71. https://doi.org/10.1016/j.ssresearch.2009.08.007.Suche in Google Scholar

69. Masefield, SC, Prady, SL, Sheldon, TA, Small, N, Jarvis, S, Pickett, KE. The caregiver health effects of caring for young children with developmental disabilities: a meta-analysis. Matern Child Health J 2020;24:561–74. https://doi.org/10.1007/s10995-020-02896-5.Suche in Google Scholar PubMed PubMed Central

Received: 2024-03-26
Accepted: 2024-10-22
Published Online: 2024-12-03

© 2024 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Frontmatter
  2. Editorial
  3. Editorial
  4. Review
  5. Investigating various interventions to improve the quality of life of children and adolescents suffering from chronic diseases – a systematic review
  6. Original Articles
  7. A socio-ecological approach to understanding self-regulation among adolescents with developmental challenges and delays
  8. Social, academic, and emotional self-efficacies in adolescent girls and their determinants: a cross sectional study
  9. Psychiatric hospitalizations among adolescents during the pandemic in Italy: a retrospective study
  10. Reliability and validity of the Game Addiction Scale in Malaysian Adolescents
  11. Waist-height ratio highlights detrimental risk for olanzapine associated weight gain earlier than body mass index
  12. A cross-sectional study of satisfaction with life among 1st year students and doctors of a teaching hospital of the national capital region
  13. Menstrual disorder and its treatment seeking among adolescent girls in India: evidence from nationwide survey
  14. Reviewer Acknowledgment
  15. Reviewer acknowledgment
https://doi.org/10.1515/ijamh-2024-0050
Schlagwörter für diesen Artikel
socio-ecological model; self-regulation; developmental disabilities and delays; adolescence

Artikel in diesem Heft

  1. Frontmatter
  2. Editorial
  3. Editorial
  4. Review
  5. Investigating various interventions to improve the quality of life of children and adolescents suffering from chronic diseases – a systematic review
  6. Original Articles
  7. A socio-ecological approach to understanding self-regulation among adolescents with developmental challenges and delays
  8. Social, academic, and emotional self-efficacies in adolescent girls and their determinants: a cross sectional study
  9. Psychiatric hospitalizations among adolescents during the pandemic in Italy: a retrospective study
  10. Reliability and validity of the Game Addiction Scale in Malaysian Adolescents
  11. Waist-height ratio highlights detrimental risk for olanzapine associated weight gain earlier than body mass index
  12. A cross-sectional study of satisfaction with life among 1st year students and doctors of a teaching hospital of the national capital region
  13. Menstrual disorder and its treatment seeking among adolescent girls in India: evidence from nationwide survey
  14. Reviewer Acknowledgment
  15. Reviewer acknowledgment
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