On Analyzing Factors Affecting Severe Pregnancy Complications in Urban Areas of Bangladesh

Nishat Tasnim Toosty

doi:doi:10.11648/j.ajbes.20180404.11

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On Analyzing Factors Affecting Severe Pregnancy Complications in Urban Areas of Bangladesh

Nishat Tasnim Toosty

Published in American Journal of Biological and Environmental Statistics (Volume 4, Issue 4)

Received: 18 November 2018 Accepted: 4 December 2018 Published: 14 January 2019

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Abstract

Pregnancy is a period of increased vulnerability of a woman’s life and this study is designed to identify potential determinants of complications that women in urban areas of Bangladesh face during pregnancy, delivery or after delivery. For the purpose of analysis, data extracted from Urban Health Survey (UHS), 2013 has been used. Bivariate analysis has been performed using Chi-square test and multiple logistic regression model is used to assess the adjusted effect of potential determinants on the pregnancy complications. Migration status, mothers’ education level, wealth index, working status of mothers, NGO (non-governmental organization) membership, received ANC (antenatal care), place of delivery and wanted pregnancy are found to have significant association with severe pregnancy complications. To reduce severe pregnancy, delivery or after delivery complications, the migrant women should be more health conscious during this period; women’s decision regarding pregnancy should be valued considerably and their perception towards health care seeking behavior should be changed.

Published in	American Journal of Biological and Environmental Statistics (Volume 4, Issue 4)
DOI	10.11648/j.ajbes.20180404.11
Page(s)	98-104
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

Chi-square Test, Migration, Multiple Logistic Regression, Severe Pregnancy Complications, UHS

References

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[2]	Bangladesh Maternal Mortality and Health Care Survey (BMMS), 2016. NIPORT, Dhaka, Bangladesh; icddr, b, Dhaka, Bangladesh.
[3]	5,200 women die annually due to pregnancy, childbirth related problems (2016, October 28), Dhaka Tribune. Retrieved from https://www.dhakatribune.com/bangladesh/2016/10/28/5200-women-die-annually-due-pregnancy-childbirth-related-problems
[4]	Ferdos, J., Rahman, M. M., Jesmin, S. S., Rahman, M. A. and Sasagawa, T. (2017). Association between Intimate Partner Violence during Pregnancy and Maternal Pregnancy Complications among Recently Delivered Women in Bangladesh. Aggressive Behavior. 44 (3).
[5]	Mullah, M. A. S., Parveen, N. and Hossain, M. Z. (2010). Generalized Linear Mixed Models for Longitudinal Data Analysis: An Application to Maternal Morbidity Data. Dhaka University Journal of Science. 58 (2), 219-223.
[6]	Islam, M. A., Chowdhury, R. I., Chakraborty, N., Bari, W. and Akhter, H. H. (2004). Factors Associated with Delivery Complications in Rural Bangladesh. The European Journal of Contraception & Reproductive Health Care. 9 (4), 203-213.
[7]	Rahman, R., Hossain, M. A. and Hossain, M. Z. (2011). Extended Mallow’s Cp in GEE: An Application to Maternal Morbidity Data. Dhaka University Journal of Science. 59 (1), 65-70.
[8]	Huda, F. A., Ahmed, A., Dasgupta, S. K., Jahan, M., Ferdous, J., Koblinsky, M., Ronsmans, C. and Chowdhury, M. E. (2012). Profile of Maternal and Foetal Complications during Labour and Deliverry among Women Giving Birth in Hospitals in Matlab and Chandpur, Bangladesh. Journal of Health, Population and Nutrition. 30 (2), 131-142.
[9]	Chakraborty, N., Islam, M. A., Chowdhury, R. I. and Bari, W. (2003). Analysis of Ante-partum Maternal Morbidity in Rural Bangladesh. Australian Journal of Rural Health. 11 (1), 22-27.
[10]	Backos, M., Rai, R., Baxter, N., Chilcott, I. T., Cohen, H. and Regan, L. (1999). Pregnancy Complications in Women with Recurrent Miscarriage Associated with Antiphospholipid Antibodies Treated with Low Dose Aspirin and Heparin. British Journal of Obstetrics and Gynaecology. 106, 102-107.
[11]	Kilpatric, S. K., Ecker, J. L. and Callaghan, W. M. (2016). Severe Maternal Morbidity: Screening and Review. Obstetric Care Consensus Series. 5.
[12]	Callaghan, W. M., Andreea, A. C. and Kuklina, E. V. (2012). Severe Maternal Morbidity Among Delivery and Postpartum Hospitalizations in the United States. Obstetrics and Gynecology. 120 (5), 1029-1036.
[13]	Kilpatric, S. J., Abreo, A., Gould, J., Grrene, N. and Main, E. K. (2016). Confirmed Maternal Morbidity is Associated with High Rate of Preterm Delivery. American Journal of Obstetrics and Gynecology. 215 (2).
[14]	Bhatia, J. C. (1995). Levels and Determinants of Maternal Morbidity: Results from A Community-based Study in Southern India. International Journal of Gynecology and Obstetrics. 50 (2), 153-163.
[15]	Almeida, L. M., Caldas, J., Campos, D. A., Barrientos, D. S. and Dias, S. (2013). Maternal Healthcare in Migrants: A Systematic Review. Maternal and Child Health Journal. 17, 1346-1354.
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APA Style

Nishat Tasnim Toosty. (2019). On Analyzing Factors Affecting Severe Pregnancy Complications in Urban Areas of Bangladesh. American Journal of Biological and Environmental Statistics, 4(4), 98-104. https://doi.org/10.11648/j.ajbes.20180404.11

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ACS Style

Nishat Tasnim Toosty. On Analyzing Factors Affecting Severe Pregnancy Complications in Urban Areas of Bangladesh. Am. J. Biol. Environ. Stat. 2019, 4(4), 98-104. doi: 10.11648/j.ajbes.20180404.11

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AMA Style

Nishat Tasnim Toosty. On Analyzing Factors Affecting Severe Pregnancy Complications in Urban Areas of Bangladesh. Am J Biol Environ Stat. 2019;4(4):98-104. doi: 10.11648/j.ajbes.20180404.11

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@article{10.11648/j.ajbes.20180404.11,
  author = {Nishat Tasnim Toosty},
  title = {On Analyzing Factors Affecting Severe Pregnancy Complications in Urban Areas of Bangladesh},
  journal = {American Journal of Biological and Environmental Statistics},
  volume = {4},
  number = {4},
  pages = {98-104},
  doi = {10.11648/j.ajbes.20180404.11},
  url = {https://doi.org/10.11648/j.ajbes.20180404.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajbes.20180404.11},
  abstract = {Pregnancy is a period of increased vulnerability of a woman’s life and this study is designed to identify potential determinants of complications that women in urban areas of Bangladesh face during pregnancy, delivery or after delivery. For the purpose of analysis, data extracted from Urban Health Survey (UHS), 2013 has been used. Bivariate analysis has been performed using Chi-square test and multiple logistic regression model is used to assess the adjusted effect of potential determinants on the pregnancy complications. Migration status, mothers’ education level, wealth index, working status of mothers, NGO (non-governmental organization) membership, received ANC (antenatal care), place of delivery and wanted pregnancy are found to have significant association with severe pregnancy complications. To reduce severe pregnancy, delivery or after delivery complications, the migrant women should be more health conscious during this period; women’s decision regarding pregnancy should be valued considerably and their perception towards health care seeking behavior should be changed.},
 year = {2019}
}

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TY  - JOUR
T1  - On Analyzing Factors Affecting Severe Pregnancy Complications in Urban Areas of Bangladesh
AU  - Nishat Tasnim Toosty
Y1  - 2019/01/14
PY  - 2019
N1  - https://doi.org/10.11648/j.ajbes.20180404.11
DO  - 10.11648/j.ajbes.20180404.11
T2  - American Journal of Biological and Environmental Statistics
JF  - American Journal of Biological and Environmental Statistics
JO  - American Journal of Biological and Environmental Statistics
SP  - 98
EP  - 104
PB  - Science Publishing Group
SN  - 2471-979X
UR  - https://doi.org/10.11648/j.ajbes.20180404.11
AB  - Pregnancy is a period of increased vulnerability of a woman’s life and this study is designed to identify potential determinants of complications that women in urban areas of Bangladesh face during pregnancy, delivery or after delivery. For the purpose of analysis, data extracted from Urban Health Survey (UHS), 2013 has been used. Bivariate analysis has been performed using Chi-square test and multiple logistic regression model is used to assess the adjusted effect of potential determinants on the pregnancy complications. Migration status, mothers’ education level, wealth index, working status of mothers, NGO (non-governmental organization) membership, received ANC (antenatal care), place of delivery and wanted pregnancy are found to have significant association with severe pregnancy complications. To reduce severe pregnancy, delivery or after delivery complications, the migrant women should be more health conscious during this period; women’s decision regarding pregnancy should be valued considerably and their perception towards health care seeking behavior should be changed.
VL  - 4
IS  - 4
ER  -

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Author Information

Nishat Tasnim Toosty

Department of Statistics, University of Dhaka, Dhaka, Bangladesh

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APA Style

Nishat Tasnim Toosty. (2019). On Analyzing Factors Affecting Severe Pregnancy Complications in Urban Areas of Bangladesh. American Journal of Biological and Environmental Statistics, 4(4), 98-104. https://doi.org/10.11648/j.ajbes.20180404.11

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ACS Style

Nishat Tasnim Toosty. On Analyzing Factors Affecting Severe Pregnancy Complications in Urban Areas of Bangladesh. Am. J. Biol. Environ. Stat. 2019, 4(4), 98-104. doi: 10.11648/j.ajbes.20180404.11

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AMA Style

Nishat Tasnim Toosty. On Analyzing Factors Affecting Severe Pregnancy Complications in Urban Areas of Bangladesh. Am J Biol Environ Stat. 2019;4(4):98-104. doi: 10.11648/j.ajbes.20180404.11

Copy | Download

@article{10.11648/j.ajbes.20180404.11,
  author = {Nishat Tasnim Toosty},
  title = {On Analyzing Factors Affecting Severe Pregnancy Complications in Urban Areas of Bangladesh},
  journal = {American Journal of Biological and Environmental Statistics},
  volume = {4},
  number = {4},
  pages = {98-104},
  doi = {10.11648/j.ajbes.20180404.11},
  url = {https://doi.org/10.11648/j.ajbes.20180404.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajbes.20180404.11},
  abstract = {Pregnancy is a period of increased vulnerability of a woman’s life and this study is designed to identify potential determinants of complications that women in urban areas of Bangladesh face during pregnancy, delivery or after delivery. For the purpose of analysis, data extracted from Urban Health Survey (UHS), 2013 has been used. Bivariate analysis has been performed using Chi-square test and multiple logistic regression model is used to assess the adjusted effect of potential determinants on the pregnancy complications. Migration status, mothers’ education level, wealth index, working status of mothers, NGO (non-governmental organization) membership, received ANC (antenatal care), place of delivery and wanted pregnancy are found to have significant association with severe pregnancy complications. To reduce severe pregnancy, delivery or after delivery complications, the migrant women should be more health conscious during this period; women’s decision regarding pregnancy should be valued considerably and their perception towards health care seeking behavior should be changed.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - On Analyzing Factors Affecting Severe Pregnancy Complications in Urban Areas of Bangladesh
AU  - Nishat Tasnim Toosty
Y1  - 2019/01/14
PY  - 2019
N1  - https://doi.org/10.11648/j.ajbes.20180404.11
DO  - 10.11648/j.ajbes.20180404.11
T2  - American Journal of Biological and Environmental Statistics
JF  - American Journal of Biological and Environmental Statistics
JO  - American Journal of Biological and Environmental Statistics
SP  - 98
EP  - 104
PB  - Science Publishing Group
SN  - 2471-979X
UR  - https://doi.org/10.11648/j.ajbes.20180404.11
AB  - Pregnancy is a period of increased vulnerability of a woman’s life and this study is designed to identify potential determinants of complications that women in urban areas of Bangladesh face during pregnancy, delivery or after delivery. For the purpose of analysis, data extracted from Urban Health Survey (UHS), 2013 has been used. Bivariate analysis has been performed using Chi-square test and multiple logistic regression model is used to assess the adjusted effect of potential determinants on the pregnancy complications. Migration status, mothers’ education level, wealth index, working status of mothers, NGO (non-governmental organization) membership, received ANC (antenatal care), place of delivery and wanted pregnancy are found to have significant association with severe pregnancy complications. To reduce severe pregnancy, delivery or after delivery complications, the migrant women should be more health conscious during this period; women’s decision regarding pregnancy should be valued considerably and their perception towards health care seeking behavior should be changed.
VL  - 4
IS  - 4
ER  -

Copy | Download