Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14356/919
Title: Factors Associated with Acute Malnutrition among Pregnant Women in Flood Affected Region
Authors: Aryal, Binod Kumar
Sapkota, Suman
Lama, Nishant
Paudel, Rajan
Citation: AryalB. K., SapkotaS., LamaN., & PaudelR. (2022). Factors Associated with Acute Malnutrition among Pregnant Women in Flood Affected Region. Journal of Nepal Health Research Council, 20(02), 539-545. https://doi.org/10.33314/jnhrc.v20i02.4076
Issue Date: 2022
Publisher: Nepal Health Research Council
Keywords: Acute malnutrition
Flash Flood
Malnutrition during pregnancy
MUAC
Series/Report no.: April-June, 2022;4076
Abstract: Abstract Background: Adequate nutrition before and during pregnancy is necessary to maintain women’s reproductive health and to ensure healthy foetal outcome. Pregnant women are at high risk of acute malnutrition specifically during humanitarian crisis leading to adverse effects in foetal outcomes and women’s health. This study aimed to assess the factors associated with acute malnutrition among pregnant women visiting Antenatal Clinics in two hospitals and a Primary Health Care Centre of Siraha district in the south-eastern plains of Nepal immediately after 2017 flash flood. Methods: A health-institution based cross-sectional study was conducted among 444 pregnant women of reproductive age (15-49 years) in second and third trimester in three health institutions. Data collection was done in the aftermath of 2017 flash floods through face to face interview. Multiple logistic regression analysis was used to identify the factors associated with acute malnutrition defined as Mid Upper Arm Circumference less than or equals to 21 centimetres. Results: Out of 444 participants, 9.9% were found to be acutely malnourished. Participant’s education (AOR[Adjusted Odds Ratio]: 3.09, 95% CI[Confidence Interval]: 1.43-6.70), occupation (AOR: 3.16, 95% CI: 1.08-9.22), husband’s occupation (AOR: 6.61, 95% CI: 2.17-20.12), household food security (AOR: 3.39, 95% CI: 1.36-8.49) and participant’s dietary diversity (AOR:10.06, 95% CI: 3.35-30.27) were found to be statistically significant factors associated with acute malnutrition among pregnant women. Conclusions: Participants’ silliteracy, unemployment, husband not employed for cash, household food insecurity and low dietary diversity were found to be statistically significant predictors of acute malnutrition among pregnant women during flash floods. Keywords: Acute malnutrition; flash flood; malnutrition during pregnancy; MUAC
Description: Original Article
URI: http://103.69.126.140:8080/handle/20.500.14356/919
ISSN: Print ISSN: 1727-5482; Online ISSN: 1999-6217
Appears in Collections:Vol 20 No 02 Issue 55 April-June, 2022

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