Determination of risk factors for pre-eclampsia and eclampsia in a tertiary hospital of India: A case control study
Background: Preeclampsia and eclampsia (PE) are pregnancy specific syndromes that contribute to maternal and fetal morbidity and mortality. The identification of its predisposing factors in the pre-pregnancy and initial stage of pregnancy will help in reducing the morbidity and mortality. Aim: The a...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wolters Kluwer Medknow Publications
2013-01-01
|
Series: | Journal of Family Medicine and Primary Care |
Subjects: | |
Online Access: | http://www.jfmpc.com/article.asp?issn=2249-4863;year=2013;volume=2;issue=4;spage=371;epage=375;aulast=Bej |
_version_ | 1818050141297311744 |
---|---|
author | Punyatoya Bej Pragti Chhabra Arun Kumar Sharma Kiran Guleria |
author_facet | Punyatoya Bej Pragti Chhabra Arun Kumar Sharma Kiran Guleria |
author_sort | Punyatoya Bej |
collection | DOAJ |
description | Background: Preeclampsia and eclampsia (PE) are pregnancy specific syndromes that contribute to maternal and fetal morbidity and mortality. The identification of its predisposing factors in the pre-pregnancy and initial stage of pregnancy will help in reducing the morbidity and mortality. Aim: The aim of this study is to determine the risk factors for PE among pregnant women in a tertiary level hospital. Materials and Methods: In this study, 122 women who delivered beyond 22 weeks of gestation and diagnosed as preeclampsia or eclampsia were selected. Simultaneously, 122 controls with no diagnosis of preeclampsia or eclampsia were selected from the post natal ward. Cases and controls were administered the same pre-tested questionnaire containing different risk factors. Results and Conclusion: Logistic regression was applied in the statistical analysis. The factors that were found to be significant predictors of risk for development of PE were family history of preeclampsia (adjusted odds ratio [OR] 18.57 [1.93-178.16], P = 0.011), higher calorie intake (adjusted OR 14.12 [6.41-43.23] body mass index (adjusted P < 0.001), employment (adjusted OR 6.35 [1.56-25.82] P = 0.010], less protein intake (adjusted OR 3.87 [1.97-8.01] P < 0.001), increased OR 5.86 [02.48-13.8] P < 0.001), mild physical activities (adjusted OR 3.46 [1.06-11.24] P = 0.039). Past history of hypertension and diabetes mellitus were also associated with development of PE. |
first_indexed | 2024-12-10T10:48:45Z |
format | Article |
id | doaj.art-0b521ac0e7484005a05f3194bf72c79b |
institution | Directory Open Access Journal |
issn | 2249-4863 |
language | English |
last_indexed | 2024-12-10T10:48:45Z |
publishDate | 2013-01-01 |
publisher | Wolters Kluwer Medknow Publications |
record_format | Article |
series | Journal of Family Medicine and Primary Care |
spelling | doaj.art-0b521ac0e7484005a05f3194bf72c79b2022-12-22T01:52:05ZengWolters Kluwer Medknow PublicationsJournal of Family Medicine and Primary Care2249-48632013-01-012437137510.4103/2249-4863.123924Determination of risk factors for pre-eclampsia and eclampsia in a tertiary hospital of India: A case control studyPunyatoya BejPragti ChhabraArun Kumar SharmaKiran GuleriaBackground: Preeclampsia and eclampsia (PE) are pregnancy specific syndromes that contribute to maternal and fetal morbidity and mortality. The identification of its predisposing factors in the pre-pregnancy and initial stage of pregnancy will help in reducing the morbidity and mortality. Aim: The aim of this study is to determine the risk factors for PE among pregnant women in a tertiary level hospital. Materials and Methods: In this study, 122 women who delivered beyond 22 weeks of gestation and diagnosed as preeclampsia or eclampsia were selected. Simultaneously, 122 controls with no diagnosis of preeclampsia or eclampsia were selected from the post natal ward. Cases and controls were administered the same pre-tested questionnaire containing different risk factors. Results and Conclusion: Logistic regression was applied in the statistical analysis. The factors that were found to be significant predictors of risk for development of PE were family history of preeclampsia (adjusted odds ratio [OR] 18.57 [1.93-178.16], P = 0.011), higher calorie intake (adjusted OR 14.12 [6.41-43.23] body mass index (adjusted P < 0.001), employment (adjusted OR 6.35 [1.56-25.82] P = 0.010], less protein intake (adjusted OR 3.87 [1.97-8.01] P < 0.001), increased OR 5.86 [02.48-13.8] P < 0.001), mild physical activities (adjusted OR 3.46 [1.06-11.24] P = 0.039). Past history of hypertension and diabetes mellitus were also associated with development of PE.http://www.jfmpc.com/article.asp?issn=2249-4863;year=2013;volume=2;issue=4;spage=371;epage=375;aulast=BejCase control studyeclampsiamultiple logistic regressionpreeclampsiarisk factors |
spellingShingle | Punyatoya Bej Pragti Chhabra Arun Kumar Sharma Kiran Guleria Determination of risk factors for pre-eclampsia and eclampsia in a tertiary hospital of India: A case control study Journal of Family Medicine and Primary Care Case control study eclampsia multiple logistic regression preeclampsia risk factors |
title | Determination of risk factors for pre-eclampsia and eclampsia in a tertiary hospital of India: A case control study |
title_full | Determination of risk factors for pre-eclampsia and eclampsia in a tertiary hospital of India: A case control study |
title_fullStr | Determination of risk factors for pre-eclampsia and eclampsia in a tertiary hospital of India: A case control study |
title_full_unstemmed | Determination of risk factors for pre-eclampsia and eclampsia in a tertiary hospital of India: A case control study |
title_short | Determination of risk factors for pre-eclampsia and eclampsia in a tertiary hospital of India: A case control study |
title_sort | determination of risk factors for pre eclampsia and eclampsia in a tertiary hospital of india a case control study |
topic | Case control study eclampsia multiple logistic regression preeclampsia risk factors |
url | http://www.jfmpc.com/article.asp?issn=2249-4863;year=2013;volume=2;issue=4;spage=371;epage=375;aulast=Bej |
work_keys_str_mv | AT punyatoyabej determinationofriskfactorsforpreeclampsiaandeclampsiainatertiaryhospitalofindiaacasecontrolstudy AT pragtichhabra determinationofriskfactorsforpreeclampsiaandeclampsiainatertiaryhospitalofindiaacasecontrolstudy AT arunkumarsharma determinationofriskfactorsforpreeclampsiaandeclampsiainatertiaryhospitalofindiaacasecontrolstudy AT kiranguleria determinationofriskfactorsforpreeclampsiaandeclampsiainatertiaryhospitalofindiaacasecontrolstudy |