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An investigation of effective factors on children’s growth failure in Iran using multilevel models

Author

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  • A. Azarbar

    (AmirKabir University of Technology)

  • Y. Zhang

    (University of Manchester)

  • S. Nadarajah

    (University of Manchester)

Abstract

Delay or stop in children’s growth is referred to as failure to thrive (abbreviated as FTT) which leads to adverse effects such as increased mortality, reduced learning, cognitive, physical, and emotional disability, and other related illnesses. To date, different studies have been carried out in this field and factors affecting growth failure have been identified. Stopping breast feeding, teething, urinary and respiratory tract infection, fever, diarrhea, and malnutrition are identified as the most important factors affecting failure to thrive. Most of these studies apply common regression models; however, multilevel regression models involve the random effects model which allows taking genetic and individual factors into account. In the present study, given that the data were longitudinal, multilevel regression models were used for data analysis, the individual characteristics of children were identified as being among the factors affecting failure to thrive. Accordingly, it can be argued that, in identical conditions, children develop different levels of growth disorder.

Suggested Citation

  • A. Azarbar & Y. Zhang & S. Nadarajah, 2019. "An investigation of effective factors on children’s growth failure in Iran using multilevel models," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 553-560, March.
  • Handle: RePEc:spr:qualqt:v:53:y:2019:i:2:d:10.1007_s11135-018-0774-x
    DOI: 10.1007/s11135-018-0774-x
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    References listed on IDEAS

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    1. Steele, Fiona, 2008. "Multilevel models for longitudinal data," LSE Research Online Documents on Economics 52203, London School of Economics and Political Science, LSE Library.
    2. Fiona Steele, 2008. "Multilevel models for longitudinal data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(1), pages 5-19, January.
    3. Lindsey, J. K., 1999. "Models for Repeated Measurements," OUP Catalogue, Oxford University Press, edition 2, number 9780198505594.
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