Volume 15, Issue 3 (Vol.15, No.3 2019)
irje 2019, 15(3): 269-278 |
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Nikbakht H, Ghaem H, Tabatabaee H, Mirahmadizadeh A, Hassanipour S, Zahmatkesh S, et al . Evaluation of Anthropometric Indices at Birth and their Related Factors among Newborn Infants in Fars Province, South of Iran. irje 2019; 15 (3) :269-278
URL: http://irje.tums.ac.ir/article-1-6386-en.html
URL: http://irje.tums.ac.ir/article-1-6386-en.html
HA Nikbakht1 
, H Ghaem * 2, HR Tabatabaee3 , A Mirahmadizadeh4 , S Hassanipour5 , S Zahmatkesh6 , A Hemmati7 , F Moradi7 , A Abbasi8
, H Ghaem * 2, HR Tabatabaee3 , A Mirahmadizadeh4 , S Hassanipour5 , S Zahmatkesh6 , A Hemmati7 , F Moradi7 , A Abbasi8
1- 1- PhD Candidate in Epidemiology, Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran; 2- PhD Candidate in Epidemiology, Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
2- 3- Associate Professor of Epidemiology, Research Center for Health Sciences, Institute of Health, Non-communicable Diseases Research Center, Epidemiology Department, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran ,ghaemh@sums.ac.ir
3- 4- Assistant Professor of Epidemiology Research Center for Health Sciences, Institute of Health, Non-communicable Diseases Research Center, Epidemiology Department, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran
4- 5- Assistant Professor of Epidemiology, Non-communicable Diseases Research Center, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran
5- 6- Assistant Professor of Epidemiology, Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
6- 7- Doctor of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
7- 9- Specialist in Community Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
8- Bsc of Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran
2- 3- Associate Professor of Epidemiology, Research Center for Health Sciences, Institute of Health, Non-communicable Diseases Research Center, Epidemiology Department, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran ,
3- 4- Assistant Professor of Epidemiology Research Center for Health Sciences, Institute of Health, Non-communicable Diseases Research Center, Epidemiology Department, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran
4- 5- Assistant Professor of Epidemiology, Non-communicable Diseases Research Center, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran
5- 6- Assistant Professor of Epidemiology, Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
6- 7- Doctor of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
7- 9- Specialist in Community Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
8- Bsc of Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran
Abstract: (4278 Views)
Background and Objectives: Anthropometric indices, especially weight, provide useful information for the care and treatment of newborn infants and can be used to identify infants at risk. Therefore, this study was conducted to examine the mean weight, height and head circumference measurements of infants and some related factors.
Methods: This cross-sectional study was performed to investigate the anthropometric indices (weight, height and head circumference), demographic characteristics, and delivery data of 1484 newborns in 2016 using multi-stage sampling. Moreover, the predictors of these indices were analyzed using a linear regression model.
Results: The mean weight, height and head circumference of the newborn infants was 3185 ± 465 g, 49.92 ± 2.92 cm, and 34.58 ± 2.29 cm respectively, and 7% of newborns were low birth weight. The male newborns weighed 57.29 g more than females on average at birth (p <0.05). Besides, the height and head circumference of the male newborns were 0.15 and 0.10 cm larger than the female newborns respectively but the difference was not statistically significant. In addition to gender, gestational age at birth (week) and type of delivery correlated with all three anthropometric indices in multivariate analysis.
Conclusion: Identifying and controlling largely adjustable risk factors can make it possible to prevent low anthropometric parameters, particularly low birth weight.
Methods: This cross-sectional study was performed to investigate the anthropometric indices (weight, height and head circumference), demographic characteristics, and delivery data of 1484 newborns in 2016 using multi-stage sampling. Moreover, the predictors of these indices were analyzed using a linear regression model.
Results: The mean weight, height and head circumference of the newborn infants was 3185 ± 465 g, 49.92 ± 2.92 cm, and 34.58 ± 2.29 cm respectively, and 7% of newborns were low birth weight. The male newborns weighed 57.29 g more than females on average at birth (p <0.05). Besides, the height and head circumference of the male newborns were 0.15 and 0.10 cm larger than the female newborns respectively but the difference was not statistically significant. In addition to gender, gestational age at birth (week) and type of delivery correlated with all three anthropometric indices in multivariate analysis.
Conclusion: Identifying and controlling largely adjustable risk factors can make it possible to prevent low anthropometric parameters, particularly low birth weight.
Type of Study: Research |
Subject:
Epidemiology
Received: 2019/12/14 | Accepted: 2019/12/14 | Published: 2019/12/14
Received: 2019/12/14 | Accepted: 2019/12/14 | Published: 2019/12/14
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