IDEAS home Printed from https://ideas.repec.org/p/ucn/wpaper/202405.html

The Trajectory of Obesity in a Cohort of Irish Children and their Mothers: An Application of Sequence Analysis

Author

Listed:
  • David (David Patrick) Madden

Abstract

Sequence and cluster analysis is applied to measures of body mass index for mothers and children for four waves of the Growing up in Ireland longitudinal data set. Optimal matching analysis is used to construct a dissimilarity matrix to which cluster analysis is then applied. Distinct clusterings are found for both mothers and children and multinomial logit models are then used to investigate statistical association of covariates with membership of each group. Associations are found for maternal education and diet, and child exercise. There is no correlation between membership of groups for mothers and children.

Suggested Citation

  • David (David Patrick) Madden, 2024. "The Trajectory of Obesity in a Cohort of Irish Children and their Mothers: An Application of Sequence Analysis," Working Papers 202405, School of Economics, University College Dublin.
    • Handle: RePEc:ucn:wpaper:202405
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10197/26194
    File Function: First version, 2024
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

    Statistics

    Access and download statistics

    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:ucn:wpaper:202405. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: UCD School of Economics (email available below). General contact details of provider: https://edirc.repec.org/data/educdie.html .

    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.