Varzaghan Earthquake Affected Mothers' and Their Newborns' Health More Severely, in Socioeconomically Vulnerable Area

Disaster Med Public Health Prep. 2019 Jun;13(3):511-518. doi: 10.1017/dmp.2018.96. Epub 2018 Oct 8.

Abstract

Objective: We aimed to compare the pregnancy status of the pregnant women and birth status of their newborns, socioeconomic status, and access to health services, between high- and low-damage areas in Heris, affected by the Varzaghan Earthquake, 2012.

Methods: The study was conducted on pregnant women at any trimester of pregnancy (with complete medical profiles in local health centers) in August 2012 (time of the earthquake) who lived in Heris and delivered up to March 2013. Data were obtained on pregnancy- and infant-related variables, housing, socioeconomic status, and access to health services, including food supplies, before and after the earthquake.

Results: Family income and mothers' education were lower in highly damaged areas. Among these women, underweight at first trimester of pregnancy was higher, and weight gain during the last trimester was lower, compared with low-damage regions. Preterm delivery was higher in low-damage areas. Birth indices of the infants were not significantly different between the 2 areas; however, in highly damaged areas, moderate malnutrition was more prevalent among children under 1 year (weight-for-age) and under 2 years (height-for-age).

Conclusions: Socioeconomic status of mothers was lower in highly damaged areas and might have played a role in their own and newborns' health status. (Disaster Med Public Health Preparedness. 2019;13: 511-518).

Keywords: child; earthquake; infant; malnutrition; pregnant women.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Chi-Square Distribution
  • Earthquakes / statistics & numerical data*
  • Female
  • Health Status*
  • Humans
  • Infant, Newborn
  • Male
  • Mothers / statistics & numerical data*
  • Pregnancy
  • Retrospective Studies
  • Social Class*
  • Statistics, Nonparametric
  • Surveys and Questionnaires
  • Vulnerable Populations / statistics & numerical data*