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Predictors of Low Birth Weight Infants in the North West Province of Iran: A Case-Control Study Publisher



Karamzad N1 ; Safiri S2, 3 ; Amiri S4 ; Syedi N5 ; Ebrahimimameghani M6 ; Moosazadeh M7 ; Qorbani M8 ; Abbasighahramanloo A9
Authors
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Authors Affiliations
  1. 1. Vice-Chancellery for Food and Drug, Maragheh University of Medical Sciences, Maragheh, Iran
  2. 2. Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Road Traffic Injury Research Center, Department of Statistics and Epidemiology, Tabriz University of Medical Sciences, Tabriz, Iran
  4. 4. Student Research Committee, School of Nutrition, Tabriz University of Medical Sciences, Tabriz, Iran
  5. 5. School of Pharmacy and Medical Sciences, Sansom Institute for Health Research, University of South Australia, SA, Australia
  6. 6. Nutrition Research Center, School of Nutrition, Tabriz University of Medical Sciences, Tabriz, Iran
  7. 7. Health Sciences Research Center, Faculty of Health, Mazandaran University of Medical Sciences, Sari, Iran
  8. 8. Department of Community Medicine, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran
  9. 9. Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran

Source: International Journal of Pediatrics Published:2016


Abstract

Background: Ninety-five percent of low birth weight infants are born in developing countries. This study was aimed to assess the predictors of low birth in East Azerbaijan, North-west province of Iran. Materials and Methods: The study was conducted through a hospital based case-control design involving 49 women delivering low birth weight infants and 98 delivering normal weight infants. The data analysis was using SPSS-13 software with bivariate and multivariate methods. Results: There was a significant positive association between maternal chronological and marriage ages with low birth weight infants (P < 0.05). Additionally, there was negative association between maternal weight prior to pregnancy and low birth weight (P < 0.05). Interestingly, larger families of more than four members had higher probability for low birth weight infants in comparison to the families with less than four members (OR = 2.86, 95% CI: 1.09-7.47; P-value: 0.032). According to the multivariate logistic regression independent factors associated with low birth weight include higher maternal chronological age (OR = 1.88, 95% CI: 1.29 - 2.75; P-value: 0.001) and marriage age (OR = 4.97, 95% CI: 1.97 - 12.50; P-value: 0.001) and increase in maternal weight prior to pregnancy (OR = 0.60, 95% CI: 0.42 - 0.86; P-value: 0.006). Conclusion: Major risk predictors of low birth weight in the Iranian female population were maternal age other than 25-30 at delivery, young maternal marriage age and lower maternal weight before pregnancy.
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