IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v60y2005i7p1499-1513.html
   My bibliography  Save this article

Association of sociodemographic characteristics of children with intellectual disability in Western Australia

Author

Listed:
  • Leonard, Helen
  • Petterson, Beverly
  • De Klerk, Nicholas
  • Zubrick, Stephen R.
  • Glasson, Emma
  • Sanders, Richard
  • Bower, Carol

Abstract

The social determinants of intellectual disability (ID) are poorly understood, particularly in Australia. This study has investigated sociodemographic correlates of ID of unknown cause in Western Australian born children. Using record linkage to the Western Australian Maternal & Child Health Research Database, maternal sociodemographic characteristics of children with ID (of unknown cause) born between 1983 and 1992 (n=2871) were compared with those of children without ID (n=236,964). Socioeconomic indices for areas based on the census district of mother's residence were also included in the analysis. Aboriginal mothers (OR=2.83 [CI: 2.52, 3.18]), teenagers (OR=2.09 [CI: 1.82, 2.40]) and single mothers (OR=2.18 [CI: 1.97, 2.42]) were all at increased risk of having a child with mild or moderate ID. Children of mothers in the most socioeconomically disadvantaged 10% had more than five times the risk of mild and moderate ID compared with those in the least disadvantaged 10% (OR=5.61 [CI: 4.42, 7.12]). Fourth or later born children were also at increased risk (OR=1.82 [CI: 1.63, 2.02]). The results of the study have implications both for further aetiological investigation as well as service provision for children with ID. Furthermore, many of the sociodemographic correlates identified in this study, particularly in the mild/moderate category of ID, are potentially modifiable, opening up opportunities for primary prevention.

Suggested Citation

  • Leonard, Helen & Petterson, Beverly & De Klerk, Nicholas & Zubrick, Stephen R. & Glasson, Emma & Sanders, Richard & Bower, Carol, 2005. "Association of sociodemographic characteristics of children with intellectual disability in Western Australia," Social Science & Medicine, Elsevier, vol. 60(7), pages 1499-1513, April.
  • Handle: RePEc:eee:socmed:v:60:y:2005:i:7:p:1499-1513
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277-9536(04)00399-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Drews, C.D. & Yeargin-Allsopp, M. & Decoufle, P. & Murphy, C.C., 1995. "Variation in the influence of selected sociodemographic risk factors for mental retardation," American Journal of Public Health, American Public Health Association, vol. 85(3), pages 329-334.
    2. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2002. "Reliable estimation of generalized linear mixed models using adaptive quadrature," Stata Journal, StataCorp LP, vol. 2(1), pages 1-21, February.
    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. Jin Young Nam & Young Choi & Mo Kyung Jung & Jaeyong Shin & Kyoung Hee Cho & Woorim Kim & Eun-Cheol Park, 2018. "The effect of neonatal hypothyroidism and low family income on intellectual disability: A population-based cohort study," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-13, November.
    2. Igor Burstyn & Stefan Kuhle & Alexander C. Allen & Paul Veugelers, 2012. "The Role of Maternal Smoking in Effect of Fetal Growth Restriction on Poor Scholastic Achievement in Elementary School," IJERPH, MDPI, vol. 9(2), pages 1-13, January.
    3. Julie Vinck, 2020. "Income poverty among children with a disability in Belgium: the interplay between parental employment, social background and targeted cash support," Working Papers 2009, Herman Deleeck Centre for Social Policy, University of Antwerp.

    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. repec:ebl:ecbull:v:3:y:2008:i:42:p:1-13 is not listed on IDEAS
    2. Jan Brenner, 2007. "Parental Impact on Attitude Formation - A Siblings Study on Worries about Immigration," Ruhr Economic Papers 0022, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    3. Wenjia Zhang & Ming Zhang, 2018. "Incorporating land use and pricing policies for reducing car dependence: Analytical framework and empirical evidence," Urban Studies, Urban Studies Journal Limited, vol. 55(13), pages 3012-3033, October.
    4. Peter Sivey, 2012. "The effect of waiting time and distance on hospital choice for English cataract patients," Health Economics, John Wiley & Sons, Ltd., vol. 21(4), pages 444-456, April.
    5. Marino, Maria Francesca & Alfó, Marco, 2016. "Gaussian quadrature approximations in mixed hidden Markov models for longitudinal data: A simulation study," Computational Statistics & Data Analysis, Elsevier, vol. 94(C), pages 193-209.
    6. Andrea Bizzego & Mengyu Lim & Greta Schiavon & Gianluca Esposito, 2020. "Children with Developmental Disabilities in Low- and Middle-Income Countries: More Neglected and Physically Punished," IJERPH, MDPI, vol. 17(19), pages 1-16, September.
    7. Bambio, Yiriyibin & Bouayad Agha, Salima, 2018. "Land tenure security and investment: Does strength of land right really matter in rural Burkina Faso?," World Development, Elsevier, vol. 111(C), pages 130-147.
    8. Xia, Ye-Mao & Tang, Nian-Sheng & Gou, Jian-Wei, 2016. "Generalized linear latent models for multivariate longitudinal measurements mixed with hidden Markov models," Journal of Multivariate Analysis, Elsevier, vol. 152(C), pages 259-275.
    9. Massimiliano Bratti & Alfonso Miranda, 2010. "Non‐pecuniary returns to higher education: the effect on smoking intensity in the UK," Health Economics, John Wiley & Sons, Ltd., vol. 19(8), pages 906-920, August.
    10. Björn Andersson & Tao Xin, 2021. "Estimation of Latent Regression Item Response Theory Models Using a Second-Order Laplace Approximation," Journal of Educational and Behavioral Statistics, , vol. 46(2), pages 244-265, April.
    11. Stephen Schilling & R. Bock, 2005. "High-dimensional maximum marginal likelihood item factor analysis by adaptive quadrature," Psychometrika, Springer;The Psychometric Society, vol. 70(3), pages 533-555, September.
    12. Nicolette D. Manglos-Weber, 2017. "Religious Transformations and Generalized Trust in Sub-Saharan Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(2), pages 579-599, September.
    13. Aksoy, Ozan, 2019. "Social identity and social value orientations," SocArXiv 83rzv, Center for Open Science.
    14. Stanislav Kolenikov, 2009. "Confirmatory factor analysis using confa," Stata Journal, StataCorp LP, vol. 9(3), pages 329-373, September.
    15. Emran, M. Shahe & Shilpi, Forhad, 2015. "Gender, Geography, and Generations: Intergenerational Educational Mobility in Post-Reform India," World Development, Elsevier, vol. 72(C), pages 362-380.
    16. Jokela, Markus & Kivimäki, Mika & Elovainio, Marko & Viikari, Jorma & Raitakari, Olli T. & Keltikangas-Järvinen, Liisa, 2009. "Urban/rural differences in body weight: Evidence for social selection and causation hypotheses in Finland," Social Science & Medicine, Elsevier, vol. 68(5), pages 867-875, March.
    17. Lee, Yongwoong & Rösch, Daniel & Scheule, Harald, 2016. "Accuracy of mortgage portfolio risk forecasts during financial crises," European Journal of Operational Research, Elsevier, vol. 249(2), pages 440-456.
    18. Choo, Lawrence, 2016. "Market competition for decision rights: An experiment based on the “Hat Puzzle Problem”," MPRA Paper 73408, University Library of Munich, Germany.
    19. Bishai, D. & Sindelar, J. & Ricketts, E.P. & Huettner, S. & Cornelius, L. & Lloyd, J.J. & Havens, J.R. & Latkin, C.A. & Strathdee, S.A., 2008. "Willingness to pay for drug rehabilitation: Implications for cost recovery," Journal of Health Economics, Elsevier, vol. 27(4), pages 959-972, July.
    20. Peter Haan & Arne Uhlendorff, 2006. "Estimation of multinomial logit models with unobserved heterogeneity using maximum simulated likelihood," Stata Journal, StataCorp LP, vol. 6(2), pages 229-245, June.
    21. Michael J. Crowther & Keith R. Abrams & Paul C. Lambert, 2013. "Joint modeling of longitudinal and survival data," Stata Journal, StataCorp LP, vol. 13(1), pages 165-184, March.

    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:socmed:v:60:y:2005:i:7:p:1499-1513. 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: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.