Socio-Economic Determinants of Low Birth Weight in Kenya: An Application of Logistic Regression Model

Edwine Benson Atitwa

doi:doi:10.11648/j.ajtas.20150406.14

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Socio-Economic Determinants of Low Birth Weight in Kenya: An Application of Logistic Regression Model

Edwine Benson Atitwa

Published in American Journal of Theoretical and Applied Statistics (Volume 4, Issue 6)

Received: 10 September 2015 Accepted: 21 September 2015 Published: 12 October 2015

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Abstract

Babies born with Low-birth weight are at increased risk for serious health problems which are accompanied by disabilities and even death. The purpose of this study was to determine socio-economic factors that lead to low birth weight of children in Kenya. Data used was from Kdhs 2003 and the significant effect of socio-economic determinants on low birth weight was examined using logistic regression analysis data is categorical and continuous in nature, where predictor variables being socio-economic determinants and birth weight being dependent variable. Results indicate that out of six socio-economic factors involved in the study, four (Religion, Time Wanted Pregnancy, Marital Status and Economic Status) revealed some significant effects on the children with low birth weight. Therefore Socio-economic determinants have a significant effect on Low birth weight which suggests a strong negative associated with infant survival in Kenya independent of other risk factors. The logistic function revealed a statistically significant association between the birth weight, Religion, Time Wanted Pregnancy, Marital Status and Economic Status. Predicted probability is 11.4% low birth weight. Researcher recommends that respondents should avoid conceiving unexpectedly since it was associated with high low birth weight. Also to effectively enhance normal birth weight in Kenya, then expectant mothers should keenly focus on the socio-economic determinants by avoiding marital problems like divorce.

Published in	American Journal of Theoretical and Applied Statistics (Volume 4, Issue 6)
DOI	10.11648/j.ajtas.20150406.14
Page(s)	438-445
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), 2024. Published by Science Publishing Group

Keywords

Socio-Economics, Birth Weight, Predictor Variables, Logistic Regression Model

References

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Edwine Benson Atitwa. (2015). Socio-Economic Determinants of Low Birth Weight in Kenya: An Application of Logistic Regression Model. American Journal of Theoretical and Applied Statistics, 4(6), 438-445. https://doi.org/10.11648/j.ajtas.20150406.14

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ACS Style

Edwine Benson Atitwa. Socio-Economic Determinants of Low Birth Weight in Kenya: An Application of Logistic Regression Model. Am. J. Theor. Appl. Stat. 2015, 4(6), 438-445. doi: 10.11648/j.ajtas.20150406.14

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AMA Style

Edwine Benson Atitwa. Socio-Economic Determinants of Low Birth Weight in Kenya: An Application of Logistic Regression Model. Am J Theor Appl Stat. 2015;4(6):438-445. doi: 10.11648/j.ajtas.20150406.14

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@article{10.11648/j.ajtas.20150406.14,
  author = {Edwine Benson Atitwa},
  title = {Socio-Economic Determinants of Low Birth Weight in Kenya: An Application of Logistic Regression Model},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {4},
  number = {6},
  pages = {438-445},
  doi = {10.11648/j.ajtas.20150406.14},
  url = {https://doi.org/10.11648/j.ajtas.20150406.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20150406.14},
  abstract = {Babies born with Low-birth weight are at increased risk for serious health problems which are accompanied by disabilities and even death. The purpose of this study was to determine socio-economic factors that lead to low birth weight of children in Kenya. Data used was from Kdhs 2003 and the significant effect of socio-economic determinants on low birth weight was examined using logistic regression analysis data is categorical and continuous in nature, where predictor variables being socio-economic determinants and birth weight being dependent variable. Results indicate that out of six socio-economic factors involved in the study, four (Religion, Time Wanted Pregnancy, Marital Status and Economic Status) revealed some significant effects on the children with low birth weight. Therefore Socio-economic determinants have a significant effect on Low birth weight which suggests a strong negative associated with infant survival in Kenya independent of other risk factors. The logistic function revealed a statistically significant association between the birth weight, Religion, Time Wanted Pregnancy, Marital Status and Economic Status. Predicted probability is 11.4% low birth weight. Researcher recommends that respondents should avoid conceiving unexpectedly since it was associated with high low birth weight. Also to effectively enhance normal birth weight in Kenya, then expectant mothers should keenly focus on the socio-economic determinants by avoiding marital problems like divorce.},
 year = {2015}
}

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TY  - JOUR
T1  - Socio-Economic Determinants of Low Birth Weight in Kenya: An Application of Logistic Regression Model
AU  - Edwine Benson Atitwa
Y1  - 2015/10/12
PY  - 2015
N1  - https://doi.org/10.11648/j.ajtas.20150406.14
DO  - 10.11648/j.ajtas.20150406.14
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  - 438
EP  - 445
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20150406.14
AB  - Babies born with Low-birth weight are at increased risk for serious health problems which are accompanied by disabilities and even death. The purpose of this study was to determine socio-economic factors that lead to low birth weight of children in Kenya. Data used was from Kdhs 2003 and the significant effect of socio-economic determinants on low birth weight was examined using logistic regression analysis data is categorical and continuous in nature, where predictor variables being socio-economic determinants and birth weight being dependent variable. Results indicate that out of six socio-economic factors involved in the study, four (Religion, Time Wanted Pregnancy, Marital Status and Economic Status) revealed some significant effects on the children with low birth weight. Therefore Socio-economic determinants have a significant effect on Low birth weight which suggests a strong negative associated with infant survival in Kenya independent of other risk factors. The logistic function revealed a statistically significant association between the birth weight, Religion, Time Wanted Pregnancy, Marital Status and Economic Status. Predicted probability is 11.4% low birth weight. Researcher recommends that respondents should avoid conceiving unexpectedly since it was associated with high low birth weight. Also to effectively enhance normal birth weight in Kenya, then expectant mothers should keenly focus on the socio-economic determinants by avoiding marital problems like divorce.
VL  - 4
IS  - 6
ER  -

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Author Information

Edwine Benson Atitwa

Department of Computer and Statistics, Moi University, Eldoret, Kenya

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APA Style

Edwine Benson Atitwa. (2015). Socio-Economic Determinants of Low Birth Weight in Kenya: An Application of Logistic Regression Model. American Journal of Theoretical and Applied Statistics, 4(6), 438-445. https://doi.org/10.11648/j.ajtas.20150406.14

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ACS Style

Edwine Benson Atitwa. Socio-Economic Determinants of Low Birth Weight in Kenya: An Application of Logistic Regression Model. Am. J. Theor. Appl. Stat. 2015, 4(6), 438-445. doi: 10.11648/j.ajtas.20150406.14

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AMA Style

Edwine Benson Atitwa. Socio-Economic Determinants of Low Birth Weight in Kenya: An Application of Logistic Regression Model. Am J Theor Appl Stat. 2015;4(6):438-445. doi: 10.11648/j.ajtas.20150406.14

Copy | Download

@article{10.11648/j.ajtas.20150406.14,
  author = {Edwine Benson Atitwa},
  title = {Socio-Economic Determinants of Low Birth Weight in Kenya: An Application of Logistic Regression Model},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {4},
  number = {6},
  pages = {438-445},
  doi = {10.11648/j.ajtas.20150406.14},
  url = {https://doi.org/10.11648/j.ajtas.20150406.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20150406.14},
  abstract = {Babies born with Low-birth weight are at increased risk for serious health problems which are accompanied by disabilities and even death. The purpose of this study was to determine socio-economic factors that lead to low birth weight of children in Kenya. Data used was from Kdhs 2003 and the significant effect of socio-economic determinants on low birth weight was examined using logistic regression analysis data is categorical and continuous in nature, where predictor variables being socio-economic determinants and birth weight being dependent variable. Results indicate that out of six socio-economic factors involved in the study, four (Religion, Time Wanted Pregnancy, Marital Status and Economic Status) revealed some significant effects on the children with low birth weight. Therefore Socio-economic determinants have a significant effect on Low birth weight which suggests a strong negative associated with infant survival in Kenya independent of other risk factors. The logistic function revealed a statistically significant association between the birth weight, Religion, Time Wanted Pregnancy, Marital Status and Economic Status. Predicted probability is 11.4% low birth weight. Researcher recommends that respondents should avoid conceiving unexpectedly since it was associated with high low birth weight. Also to effectively enhance normal birth weight in Kenya, then expectant mothers should keenly focus on the socio-economic determinants by avoiding marital problems like divorce.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Socio-Economic Determinants of Low Birth Weight in Kenya: An Application of Logistic Regression Model
AU  - Edwine Benson Atitwa
Y1  - 2015/10/12
PY  - 2015
N1  - https://doi.org/10.11648/j.ajtas.20150406.14
DO  - 10.11648/j.ajtas.20150406.14
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  - 438
EP  - 445
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20150406.14
AB  - Babies born with Low-birth weight are at increased risk for serious health problems which are accompanied by disabilities and even death. The purpose of this study was to determine socio-economic factors that lead to low birth weight of children in Kenya. Data used was from Kdhs 2003 and the significant effect of socio-economic determinants on low birth weight was examined using logistic regression analysis data is categorical and continuous in nature, where predictor variables being socio-economic determinants and birth weight being dependent variable. Results indicate that out of six socio-economic factors involved in the study, four (Religion, Time Wanted Pregnancy, Marital Status and Economic Status) revealed some significant effects on the children with low birth weight. Therefore Socio-economic determinants have a significant effect on Low birth weight which suggests a strong negative associated with infant survival in Kenya independent of other risk factors. The logistic function revealed a statistically significant association between the birth weight, Religion, Time Wanted Pregnancy, Marital Status and Economic Status. Predicted probability is 11.4% low birth weight. Researcher recommends that respondents should avoid conceiving unexpectedly since it was associated with high low birth weight. Also to effectively enhance normal birth weight in Kenya, then expectant mothers should keenly focus on the socio-economic determinants by avoiding marital problems like divorce.
VL  - 4
IS  - 6
ER  -

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