Pregnancy related complications and its association with socio-demographic factors in Central India: A logistic regression hypothesis


Original Article

Author Details : Dinesh Kumar*, T B. Singh, Pawan Ghanghoria, Vineeta Ghanghoria

Volume : 6, Issue : 3, Year : 2019

Article Page : 72-76

https://doi.org/10.18231/j.jchm.2019.017



Suggest article by email

Get Permission

Abstract

Maternal health research is vitally important required to find out the obstetric complications for effective treatment and strategy in support to enhanced women & child health. It is much essential in vulnerable tribal population which have less opportunity to avail health care facility due to illiteracy and poor socioeconomic condition. The complications during pregnancy and childbirth cause had more deaths and disability than any other reproductive health problems. A cross sectional study was carried out among the Baiga women in Dindori district of Madhya Pradesh during 2013 to 2016. A sample of 367 currently married who had experienced maternity during last three years were identified for pregnancy related complications. The information was collected by interview method after obtaining informed written consent. Out of 367 women, the multiple complications were found anemia (35.7%), night blindness (28.6%), blurred vision (10.9%), convulsion (21.3%), swelling (26.7%), excessive fatigue (4.6%) and vaginal bleeding (4.9%). The logistic regression analysis were done to estimate the level of correlation between socio-demographic factors and obstetric complications. The findings revealed that the night blindness, anemia and blurred vision complications were found significantly (p<0>

Keywords: Pregnancy, Complication, Logistic regression analysis, Vulnerable population, Central India.


How to cite : Kumar D , Singh T B, Ghanghoria P, Ghanghoria V, Pregnancy related complications and its association with socio-demographic factors in Central India: A logistic regression hypothesis. J Community Health Manag 2019;6(3):72-76


This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.







View Article

PDF File  


Copyright permission

Get article permission for commercial use

Downlaod

PDF File    


Digital Object Identifier (DOI)

Article DOI

https://doi.org/10.18231/j.jchm.2019.017


Article Metrics






Article Access statistics

Viewed: 1439

PDF Downloaded: 770



Medical Abbreviation List