Principal Component Analysis of Birth Weight of Child, Maternal Pregnancy Weight and Maternal Pregnancy Body Mass Index: A Multivariate Analysis

Kindu Kebede Gebre

doi:doi:10.11648/j.ajtas.20211001.17

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Principal Component Analysis of Birth Weight of Child, Maternal Pregnancy Weight and Maternal Pregnancy Body Mass Index: A Multivariate Analysis

Kindu Kebede Gebre

Published in American Journal of Theoretical and Applied Statistics (Volume 10, Issue 1)

Received: 19 October 2020 Accepted: 28 October 2020 Published: 23 February 2021

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Abstract

Background: Birth weight, maternal body mass index and maternal weight is perhaps the most important and reliable indicator for neonatal and infant survival as well as their physical growth and mental development. The main objective of this study was identifying the determinants of birth weight, maternal body mass index and maternal weight simultaneously based on Ethiopia demographic health survey 2016 which implemented in statistical package R. Methods: Cross sectional study design was used from Ethiopia demographic health survey 2016. From principal component model shows the total population variance of first two components were 97% of the variation then the two components replace the original three responses variables birth weight, maternal body mass index and maternal weight without much loss of information. Therefore bi-variate linear regression model was used to identify factors that affect the first two principal components of birth weight, maternal body mass index and maternal weight simultaneously. Results: This study shows family size, region, frequency of read newspaper, frequency of watch television and preferred waiting time for birth were statistically significant at 5% level of significance for first principal component. In addition, size of child, region and maternal age group are statistically significant for second principal components of birth weight of child, maternal pregnancy weight and maternal pregnancy body mass index in Ethiopia. Conclusion: From this finding family size, region, frequency of read newspaper, and frequency of watch television, size of child, maternal age group and preferred waiting time were significant predictors of the first two principal components simultaneously. Hence,-intervention should be given to the pregnant during antenatal care for minimizing the risk.

Published in	American Journal of Theoretical and Applied Statistics (Volume 10, Issue 1)
DOI	10.11648/j.ajtas.20211001.17
Page(s)	63-71
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

Birth Weight, Maternal Weight, Maternal Body Mass Index, Bi-variate Model, Principal Component, Ethiopia Demographic Health Survey

References

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APA Style

Kindu Kebede Gebre. (2021). Principal Component Analysis of Birth Weight of Child, Maternal Pregnancy Weight and Maternal Pregnancy Body Mass Index: A Multivariate Analysis. American Journal of Theoretical and Applied Statistics, 10(1), 63-71. https://doi.org/10.11648/j.ajtas.20211001.17

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ACS Style

Kindu Kebede Gebre. Principal Component Analysis of Birth Weight of Child, Maternal Pregnancy Weight and Maternal Pregnancy Body Mass Index: A Multivariate Analysis. Am. J. Theor. Appl. Stat. 2021, 10(1), 63-71. doi: 10.11648/j.ajtas.20211001.17

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AMA Style

Kindu Kebede Gebre. Principal Component Analysis of Birth Weight of Child, Maternal Pregnancy Weight and Maternal Pregnancy Body Mass Index: A Multivariate Analysis. Am J Theor Appl Stat. 2021;10(1):63-71. doi: 10.11648/j.ajtas.20211001.17

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@article{10.11648/j.ajtas.20211001.17,
  author = {Kindu Kebede Gebre},
  title = {Principal Component Analysis of Birth Weight of Child, Maternal Pregnancy Weight and Maternal Pregnancy Body Mass Index: A Multivariate Analysis},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {10},
  number = {1},
  pages = {63-71},
  doi = {10.11648/j.ajtas.20211001.17},
  url = {https://doi.org/10.11648/j.ajtas.20211001.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20211001.17},
  abstract = {Background: Birth weight, maternal body mass index and maternal weight is perhaps the most important and reliable indicator for neonatal and infant survival as well as their physical growth and mental development. The main objective of this study was identifying the determinants of birth weight, maternal body mass index and maternal weight simultaneously based on Ethiopia demographic health survey 2016 which implemented in statistical package R. Methods: Cross sectional study design was used from Ethiopia demographic health survey 2016. From principal component model shows the total population variance of first two components were 97% of the variation then the two components replace the original three responses variables birth weight, maternal body mass index and maternal weight without much loss of information. Therefore bi-variate linear regression model was used to identify factors that affect the first two principal components of birth weight, maternal body mass index and maternal weight simultaneously. Results: This study shows family size, region, frequency of read newspaper, frequency of watch television and preferred waiting time for birth were statistically significant at 5% level of significance for first principal component. In addition, size of child, region and maternal age group are statistically significant for second principal components of birth weight of child, maternal pregnancy weight and maternal pregnancy body mass index in Ethiopia. Conclusion: From this finding family size, region, frequency of read newspaper, and frequency of watch television, size of child, maternal age group and preferred waiting time were significant predictors of the first two principal components simultaneously. Hence,-intervention should be given to the pregnant during antenatal care for minimizing the risk.},
 year = {2021}
}

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TY  - JOUR
T1  - Principal Component Analysis of Birth Weight of Child, Maternal Pregnancy Weight and Maternal Pregnancy Body Mass Index: A Multivariate Analysis
AU  - Kindu Kebede Gebre
Y1  - 2021/02/23
PY  - 2021
N1  - https://doi.org/10.11648/j.ajtas.20211001.17
DO  - 10.11648/j.ajtas.20211001.17
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  - 63
EP  - 71
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20211001.17
AB  - Background: Birth weight, maternal body mass index and maternal weight is perhaps the most important and reliable indicator for neonatal and infant survival as well as their physical growth and mental development. The main objective of this study was identifying the determinants of birth weight, maternal body mass index and maternal weight simultaneously based on Ethiopia demographic health survey 2016 which implemented in statistical package R. Methods: Cross sectional study design was used from Ethiopia demographic health survey 2016. From principal component model shows the total population variance of first two components were 97% of the variation then the two components replace the original three responses variables birth weight, maternal body mass index and maternal weight without much loss of information. Therefore bi-variate linear regression model was used to identify factors that affect the first two principal components of birth weight, maternal body mass index and maternal weight simultaneously. Results: This study shows family size, region, frequency of read newspaper, frequency of watch television and preferred waiting time for birth were statistically significant at 5% level of significance for first principal component. In addition, size of child, region and maternal age group are statistically significant for second principal components of birth weight of child, maternal pregnancy weight and maternal pregnancy body mass index in Ethiopia. Conclusion: From this finding family size, region, frequency of read newspaper, and frequency of watch television, size of child, maternal age group and preferred waiting time were significant predictors of the first two principal components simultaneously. Hence,-intervention should be given to the pregnant during antenatal care for minimizing the risk.
VL  - 10
IS  - 1
ER  -

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Author Information

Kindu Kebede Gebre

Department of Statistics, College of Computing and Informatics, Haramaya University, Harar, Ethiopia

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APA Style

Kindu Kebede Gebre. (2021). Principal Component Analysis of Birth Weight of Child, Maternal Pregnancy Weight and Maternal Pregnancy Body Mass Index: A Multivariate Analysis. American Journal of Theoretical and Applied Statistics, 10(1), 63-71. https://doi.org/10.11648/j.ajtas.20211001.17

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ACS Style

Kindu Kebede Gebre. Principal Component Analysis of Birth Weight of Child, Maternal Pregnancy Weight and Maternal Pregnancy Body Mass Index: A Multivariate Analysis. Am. J. Theor. Appl. Stat. 2021, 10(1), 63-71. doi: 10.11648/j.ajtas.20211001.17

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AMA Style

Kindu Kebede Gebre. Principal Component Analysis of Birth Weight of Child, Maternal Pregnancy Weight and Maternal Pregnancy Body Mass Index: A Multivariate Analysis. Am J Theor Appl Stat. 2021;10(1):63-71. doi: 10.11648/j.ajtas.20211001.17

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@article{10.11648/j.ajtas.20211001.17,
  author = {Kindu Kebede Gebre},
  title = {Principal Component Analysis of Birth Weight of Child, Maternal Pregnancy Weight and Maternal Pregnancy Body Mass Index: A Multivariate Analysis},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {10},
  number = {1},
  pages = {63-71},
  doi = {10.11648/j.ajtas.20211001.17},
  url = {https://doi.org/10.11648/j.ajtas.20211001.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20211001.17},
  abstract = {Background: Birth weight, maternal body mass index and maternal weight is perhaps the most important and reliable indicator for neonatal and infant survival as well as their physical growth and mental development. The main objective of this study was identifying the determinants of birth weight, maternal body mass index and maternal weight simultaneously based on Ethiopia demographic health survey 2016 which implemented in statistical package R. Methods: Cross sectional study design was used from Ethiopia demographic health survey 2016. From principal component model shows the total population variance of first two components were 97% of the variation then the two components replace the original three responses variables birth weight, maternal body mass index and maternal weight without much loss of information. Therefore bi-variate linear regression model was used to identify factors that affect the first two principal components of birth weight, maternal body mass index and maternal weight simultaneously. Results: This study shows family size, region, frequency of read newspaper, frequency of watch television and preferred waiting time for birth were statistically significant at 5% level of significance for first principal component. In addition, size of child, region and maternal age group are statistically significant for second principal components of birth weight of child, maternal pregnancy weight and maternal pregnancy body mass index in Ethiopia. Conclusion: From this finding family size, region, frequency of read newspaper, and frequency of watch television, size of child, maternal age group and preferred waiting time were significant predictors of the first two principal components simultaneously. Hence,-intervention should be given to the pregnant during antenatal care for minimizing the risk.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Principal Component Analysis of Birth Weight of Child, Maternal Pregnancy Weight and Maternal Pregnancy Body Mass Index: A Multivariate Analysis
AU  - Kindu Kebede Gebre
Y1  - 2021/02/23
PY  - 2021
N1  - https://doi.org/10.11648/j.ajtas.20211001.17
DO  - 10.11648/j.ajtas.20211001.17
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  - 63
EP  - 71
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20211001.17
AB  - Background: Birth weight, maternal body mass index and maternal weight is perhaps the most important and reliable indicator for neonatal and infant survival as well as their physical growth and mental development. The main objective of this study was identifying the determinants of birth weight, maternal body mass index and maternal weight simultaneously based on Ethiopia demographic health survey 2016 which implemented in statistical package R. Methods: Cross sectional study design was used from Ethiopia demographic health survey 2016. From principal component model shows the total population variance of first two components were 97% of the variation then the two components replace the original three responses variables birth weight, maternal body mass index and maternal weight without much loss of information. Therefore bi-variate linear regression model was used to identify factors that affect the first two principal components of birth weight, maternal body mass index and maternal weight simultaneously. Results: This study shows family size, region, frequency of read newspaper, frequency of watch television and preferred waiting time for birth were statistically significant at 5% level of significance for first principal component. In addition, size of child, region and maternal age group are statistically significant for second principal components of birth weight of child, maternal pregnancy weight and maternal pregnancy body mass index in Ethiopia. Conclusion: From this finding family size, region, frequency of read newspaper, and frequency of watch television, size of child, maternal age group and preferred waiting time were significant predictors of the first two principal components simultaneously. Hence,-intervention should be given to the pregnant during antenatal care for minimizing the risk.
VL  - 10
IS  - 1
ER  -

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