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Modelling Predictors of Weight Gain of Children Under-Five

Received: 15 February 2021     Accepted: 1 March 2021     Published: 17 March 2021
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Abstract

This study examined the determinants of weight gain by children less than five years in the Kintampo municipality of the Bono East Region of Ghana using multivariate analysis of variance (MANOVA) procedure and profile analysis. The study revealed that the minimum weight gain at the first month for males and females are 1.8kg and 1.6kg respectively and that mean weights gain by children under five years was not the same across feeding type. Profile plots of main effect revealed that baby’s age group 0-6, Exclusive Breast Feeding (EBF), parity levels 6, 7 and mothers who were formally employed are associated with lower mean effects since they fall below the average mean weight. However, child age group 13-18, breast milk substitute and parity 7 are above the average mean weight line of 7.5, indicating significant effect. Interaction plots indicated that the relationship between parity, mother’s age group, employment type and weight depend on other predictor variables. Parity depends on mother’s age but mother’s age does not depend on the child age group with respect to weight gain. Also, employment type neither depend on religion nor child age group but it depends on educational level with respect to weight gain. The MANOVA results showed that feeding type, parity and child age are the influential factors in determining the weight gain of children less than five years. Further, the study revealed that there exists some relationship between feeding type and mother’s education, parity and mother’s age group and between occupation and mother’s age group with respect to weight gain confirming the profile results. It is therefore recommended that nursing mothers should be encouraged to feed their children themselves since feeding practice has a great influence in the growth of the child at the infant stage.

Published in American Journal of Theoretical and Applied Statistics (Volume 10, Issue 2)
DOI 10.11648/j.ajtas.20211002.12
Page(s) 99-110
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

MANOVA, Feeding Type, Weight Gain, Interaction, Profile Plot

References
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[2] Isiugo-Abanihe, U. C. and Oke, O. A. (2011) Maternal and environmental factors influencing infant birth weight in Ibadan, Nigeria. African Popul Stu, 25 (2): 250–66.
[3] Leppert, P. C., Namerow, P. B. and Barker, (1986) D. Pregnancy outcomes among adolescent and older women receiving comprehensive prenatal care. J Adolesc Health Care 7 (2): 112-133.
[4] Abel, E. L., Kruger, M. and Burd, L. (2002) Effects of maternal and paternal age on Caucasian and Native American preterm births and birth weights. Am J Perinatol, 19 (1), 49–54.
[5] Dhall, K., & Bagga. R. (1995). Maternal determinants of birth weight of North Indian babies. The Journal of Pediatrics volume, 62 (3), 333-344.
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[8] Tuntiseranee, P., Olsen, J., Chongsuvivatwong, V. and Limbutara, S. (1999) Socio-economic and work-related determinants of pregnancy outcome in southern Thailand. J. Epidemiol Community Health. 53 (10): 624-9.
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[10] Mavalankar, D. V., Trivedi, C. C. and Gray, R. H. (1994) Maternal weight, height and risk of poor pregnancy outcome in Ahmedabad, India. Indian Pediatrics, 31 (10), 1205–1212.
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[15] Bocca G, Corpeleijn E, van den Heuvel ER, Stolk RP, Sauer PJ (2014). Three-year follow-up of 3-year-old to 5-year-old children after participation in a multidisciplinary or a usual-care obesity treatment program. PMID. 33: 1095–1100.
[16] Danielsson P, Kowalski J, Ekblom O, Marcus C. (2012). Response of severely obese children and adolescents to behavioral treatment. 166: 1103–8.
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[18] Dinesh K, Goel N. K., Poonam C. (2006). Influence of Infant-Feeding Practice on Nutritional Status of Under-Five Children. Department of Community Medicine, GMCH, Sector 32a, Chandigarh, India. Indian Journal of Pediatrics 73 (5), 417-421.
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Cite This Article
  • APA Style

    Hussein Salifu, Nyemekye Gabriel, Isaac Zingure. (2021). Modelling Predictors of Weight Gain of Children Under-Five. American Journal of Theoretical and Applied Statistics, 10(2), 99-110. https://doi.org/10.11648/j.ajtas.20211002.12

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    ACS Style

    Hussein Salifu; Nyemekye Gabriel; Isaac Zingure. Modelling Predictors of Weight Gain of Children Under-Five. Am. J. Theor. Appl. Stat. 2021, 10(2), 99-110. doi: 10.11648/j.ajtas.20211002.12

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    AMA Style

    Hussein Salifu, Nyemekye Gabriel, Isaac Zingure. Modelling Predictors of Weight Gain of Children Under-Five. Am J Theor Appl Stat. 2021;10(2):99-110. doi: 10.11648/j.ajtas.20211002.12

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  • @article{10.11648/j.ajtas.20211002.12,
      author = {Hussein Salifu and Nyemekye Gabriel and Isaac Zingure},
      title = {Modelling Predictors of Weight Gain of Children Under-Five},
      journal = {American Journal of Theoretical and Applied Statistics},
      volume = {10},
      number = {2},
      pages = {99-110},
      doi = {10.11648/j.ajtas.20211002.12},
      url = {https://doi.org/10.11648/j.ajtas.20211002.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20211002.12},
      abstract = {This study examined the determinants of weight gain by children less than five years in the Kintampo municipality of the Bono East Region of Ghana using multivariate analysis of variance (MANOVA) procedure and profile analysis. The study revealed that the minimum weight gain at the first month for males and females are 1.8kg and 1.6kg respectively and that mean weights gain by children under five years was not the same across feeding type. Profile plots of main effect revealed that baby’s age group 0-6, Exclusive Breast Feeding (EBF), parity levels 6, 7 and mothers who were formally employed are associated with lower mean effects since they fall below the average mean weight. However, child age group 13-18, breast milk substitute and parity 7 are above the average mean weight line of 7.5, indicating significant effect. Interaction plots indicated that the relationship between parity, mother’s age group, employment type and weight depend on other predictor variables. Parity depends on mother’s age but mother’s age does not depend on the child age group with respect to weight gain. Also, employment type neither depend on religion nor child age group but it depends on educational level with respect to weight gain. The MANOVA results showed that feeding type, parity and child age are the influential factors in determining the weight gain of children less than five years. Further, the study revealed that there exists some relationship between feeding type and mother’s education, parity and mother’s age group and between occupation and mother’s age group with respect to weight gain confirming the profile results. It is therefore recommended that nursing mothers should be encouraged to feed their children themselves since feeding practice has a great influence in the growth of the child at the infant stage.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Modelling Predictors of Weight Gain of Children Under-Five
    AU  - Hussein Salifu
    AU  - Nyemekye Gabriel
    AU  - Isaac Zingure
    Y1  - 2021/03/17
    PY  - 2021
    N1  - https://doi.org/10.11648/j.ajtas.20211002.12
    DO  - 10.11648/j.ajtas.20211002.12
    T2  - American Journal of Theoretical and Applied Statistics
    JF  - American Journal of Theoretical and Applied Statistics
    JO  - American Journal of Theoretical and Applied Statistics
    SP  - 99
    EP  - 110
    PB  - Science Publishing Group
    SN  - 2326-9006
    UR  - https://doi.org/10.11648/j.ajtas.20211002.12
    AB  - This study examined the determinants of weight gain by children less than five years in the Kintampo municipality of the Bono East Region of Ghana using multivariate analysis of variance (MANOVA) procedure and profile analysis. The study revealed that the minimum weight gain at the first month for males and females are 1.8kg and 1.6kg respectively and that mean weights gain by children under five years was not the same across feeding type. Profile plots of main effect revealed that baby’s age group 0-6, Exclusive Breast Feeding (EBF), parity levels 6, 7 and mothers who were formally employed are associated with lower mean effects since they fall below the average mean weight. However, child age group 13-18, breast milk substitute and parity 7 are above the average mean weight line of 7.5, indicating significant effect. Interaction plots indicated that the relationship between parity, mother’s age group, employment type and weight depend on other predictor variables. Parity depends on mother’s age but mother’s age does not depend on the child age group with respect to weight gain. Also, employment type neither depend on religion nor child age group but it depends on educational level with respect to weight gain. The MANOVA results showed that feeding type, parity and child age are the influential factors in determining the weight gain of children less than five years. Further, the study revealed that there exists some relationship between feeding type and mother’s education, parity and mother’s age group and between occupation and mother’s age group with respect to weight gain confirming the profile results. It is therefore recommended that nursing mothers should be encouraged to feed their children themselves since feeding practice has a great influence in the growth of the child at the infant stage.
    VL  - 10
    IS  - 2
    ER  - 

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Author Information
  • Ghana Senior High School, Department of Mathematics, Tamale, Ghana

  • Tamale Technical University, School of Applied Sciences, Department of Statistical Science, Tamale, Ghana

  • Jema Senior High School, Department of Mathematics, Jema, Ghana

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