IDEAS home Printed from https://ideas.repec.org/a/eee/intell/v94y2022ics0160289622000654.html
   My bibliography  Save this article

Fluid intelligence in refugee children. A cross-sectional study of potential risk and resilience factors among Syrian refugee children and their parents

Author

Listed:
  • Gredebäck, Gustaf
  • Hall, Jonathan
  • Lindskog, Marcus

Abstract

We assess fluid intelligence of 6–18 year-old children growing up in families that have fled from Syria and reside in Turkish communities (100 families, 394 individuals). We demonstrate that fluid intelligence of refugee children is related to maternal fluid intelligence and to the amount of time mothers spend reading to their child. These factors stood out in the analysis even when controlling for a large range of other factors such as demographics, parental mental health, parental fluid intelligence, home environment, and a large array of potential enrichment factors.

Suggested Citation

  • Gredebäck, Gustaf & Hall, Jonathan & Lindskog, Marcus, 2022. "Fluid intelligence in refugee children. A cross-sectional study of potential risk and resilience factors among Syrian refugee children and their parents," Intelligence, Elsevier, vol. 94(C).
    • Handle: RePEc:eee:intell:v:94:y:2022:i:c:s0160289622000654
    DOI: 10.1016/j.intell.2022.101684
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160289622000654
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.intell.2022.101684?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    2. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Laborda, Leopoldo & Mejalenko, Juan & Gómez-Veiga, Isabel, 2023. "Bilingualism and intelligence in children exposed to poverty environments: A Raven's error pattern analysis using a generalized propensity score method," Intelligence, Elsevier, vol. 98(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tsai, Tsung-Han, 2016. "A Bayesian Approach to Dynamic Panel Models with Endogenous Rarely Changing Variables," Political Science Research and Methods, Cambridge University Press, vol. 4(3), pages 595-620, September.
    2. Lara Lopez & Fernando L. Vázquez & Ángela J. Torres & Patricia Otero & Vanessa Blanco & Olga Díaz & Mario Páramo, 2020. "Long-Term Effects of a Cognitive Behavioral Conference Call Intervention on Depression in Non-Professional Caregivers," IJERPH, MDPI, vol. 17(22), pages 1-24, November.
    3. Hammon, Angelina & Zinn, Sabine, 2020. "Multiple imputation of binary multilevel missing not at random data," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 69(3), pages 547-564.
    4. Zamboanga, Byron L. & Merrill, Jennifer E. & Olthuis, Janine V. & Milroy, Jeffrey J. & Sokolovsky, Alexander W. & Wyrick, David L., 2019. "Secondary effects of myPlaybook on college athletes’ avoidance of drinking games or pregaming as a protective behavior strategy: A multisite randomized controlled study," Social Science & Medicine, Elsevier, vol. 228(C), pages 135-141.
    5. Stephen J. Lepore & Bradley N. Collins & Donna L. Coffman & Jonathan P. Winickoff & Uma S. Nair & Beth Moughan & Tyra Bryant-Stephens & Daniel Taylor & David Fleece & Melissa Godfrey, 2018. "Kids Safe and Smokefree (KiSS) Multilevel Intervention to Reduce Child Tobacco Smoke Exposure: Long-Term Results of a Randomized Controlled Trial," IJERPH, MDPI, vol. 15(6), pages 1-16, June.
    6. Miranda R. Chilver & Justine M. Gatt, 2022. "Six-Week Online Multi-component Positive Psychology Intervention Improves Subjective Wellbeing in Young Adults," Journal of Happiness Studies, Springer, vol. 23(3), pages 1267-1288, March.
    7. Joel Hülquist & Nicole Fangerau & Rainer Thomasius & Kerstin Paschke, 2022. "Resource-Strengthening Training for Parents of Adolescents with Problematic Gaming (Res@t-P): A Clinical Pilot Study," IJERPH, MDPI, vol. 19(15), pages 1-16, August.
    8. Monica E. Ellwood-Lowe & Susan Whitfield-Gabrieli & Silvia A. Bunge, 2021. "Brain network coupling associated with cognitive performance varies as a function of a child’s environment in the ABCD study," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    9. Youmi Suk & Hyunseung Kang, 2022. "Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 310-343, March.
    10. Severin Haug & Nikolaos Boumparis & Andreas Wenger & Michael Patrick Schaub & Raquel Paz Castro, 2022. "Efficacy of a Mobile App-Based Coaching Program for Addiction Prevention among Apprentices: A Cluster-Randomized Controlled Trial," IJERPH, MDPI, vol. 19(23), pages 1-12, November.
    11. Sanne P. A. Rasing & Yvonne A. J. Stikkelbroek & Wouter den Hollander & Ana Okorn & Denise H. M. Bodden, 2021. "Long Term Outcomes of Blended CBT Compared to Face-to-Face CBT and Treatment as Usual for Adolescents with Depressive Disorders: Analyses at 12 Months Post-Treatment," Social Sciences, MDPI, vol. 10(10), pages 1-13, October.
    12. Sanne P.A. Rasing & Yvonne A.J. Stikkelbroek & Wouter den Hollander & Heleen Riper & Maja Deković & Maaike H. Nauta & Daan H.M. Creemers & Marianne C.P. Immink & Mariken Spuij & Denise H.M. Bodden, 2021. "Pragmatic Quasi-Experimental Controlled Trial Evaluating the Outcomes of Blended CBT Compared to Face-to-Face CBT and Treatment as Usual for Adolescents with Depressive Disorders," IJERPH, MDPI, vol. 18(6), pages 1-17, March.
    13. Maël Leroux & Anne M. Schel & Claudia Wilke & Bosco Chandia & Klaus Zuberbühler & Katie E. Slocombe & Simon W. Townsend, 2023. "Call combinations and compositional processing in wild chimpanzees," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    14. Noémi Kreif & Richard Grieve & Iván Díaz & David Harrison, 2015. "Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1213-1228, September.
    15. JANSSENS, Jochen & DE CORTE, Annelies & SÖRENSEN, Kenneth, 2016. "Water distribution network design optimisation with respect to reliability," Working Papers 2016007, University of Antwerp, Faculty of Business and Economics.
    16. Abhilash Bandam & Eedris Busari & Chloi Syranidou & Jochen Linssen & Detlef Stolten, 2022. "Classification of Building Types in Germany: A Data-Driven Modeling Approach," Data, MDPI, vol. 7(4), pages 1-23, April.
    17. Raymond Hernandez & Elizabeth A. Pyatak & Cheryl L. P. Vigen & Haomiao Jin & Stefan Schneider & Donna Spruijt-Metz & Shawn C. Roll, 2021. "Understanding Worker Well-Being Relative to High-Workload and Recovery Activities across a Whole Day: Pilot Testing an Ecological Momentary Assessment Technique," IJERPH, MDPI, vol. 18(19), pages 1-17, October.
    18. Christopher Hassall & Michael Nisbet & Evan Norcliffe & He Wang, 2024. "The Potential Health Benefits of Urban Tree Planting Suggested through Immersive Environments," Land, MDPI, vol. 13(3), pages 1-12, February.
    19. Jie Zhao & Ji Chen & Damien Beillouin & Hans Lambers & Yadong Yang & Pete Smith & Zhaohai Zeng & Jørgen E. Olesen & Huadong Zang, 2022. "Global systematic review with meta-analysis reveals yield advantage of legume-based rotations and its drivers," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    20. Boonstra Philip S. & Little Roderick J.A. & West Brady T. & Andridge Rebecca R. & Alvarado-Leiton Fernanda, 2021. "A Simulation Study of Diagnostics for Selection Bias," Journal of Official Statistics, Sciendo, vol. 37(3), pages 751-769, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:intell:v:94:y:2022:i:c:s0160289622000654. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/intelligence .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.