Study of Some Determinants of Birth weight in Qazvin
Background and aim: Birth weight is related to many factors and specific medical conditions that have been existed or developed in during pregnancy. The aim of this study was to investigate and evaluate some determinants of birth weight in Qazvin. Methods: In this cross- sectional descriptive-analyt...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | fas |
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Shahrekord University of Medical Sciences
2015-01-01
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| Series: | Majallah-i Bālīnī-i Parastārī va Māmāyī |
| Subjects: | |
| Online Access: | http://jcnm.skums.ac.ir/article-1-27-en.html |
| _version_ | 1819005281601847296 |
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| author | Nasim Bahrami Mohammad Ali Soleimani Yong Hoan Chan Reza Masoudi Leyla Rabiei |
| author_facet | Nasim Bahrami Mohammad Ali Soleimani Yong Hoan Chan Reza Masoudi Leyla Rabiei |
| author_sort | Nasim Bahrami |
| collection | DOAJ |
| description | Background and aim: Birth weight is related to many factors and specific medical conditions that have been existed or developed in during pregnancy. The aim of this study was to investigate and evaluate some determinants of birth weight in Qazvin. Methods: In this cross- sectional descriptive-analytic study in 2010, 3076 women with the normal vaginal delivery (NVD) entered into the study. The univariate and multivariate predictors for birth weight were analyzed using General Linear Model (GLM). Results: Average neonatal birth weight was 3248.18 ± 458.36 gr and maternal age was 25.33 ± 5.70 years. The prevalence rate of low birth weight and macrosomia were 6.67% (205 newborns) and 3.15% (97 newborns), respectively. Univariate predictors for heavier birth weights are multi-parity, male neonates, term & post term neonates, neonates of non-preeclampsia mothers and mothers above 18 years old. Upon multivariate, most of the univariate predictors remain except mother’s age lost its influence on birth weight Season of Birth became statistically significant with spring (P= 0.01) and winter (P= 0.01) having bigger babies compared to summer period. Conclusion: Some of determinants of birth weight are non- modifiable and interventions on them are not possible, but by adjusting some factors such as selection of the appropriate age for pregnancy, it is possible to have optimal birth weight. |
| first_indexed | 2024-12-20T23:50:18Z |
| format | Article |
| id | doaj.art-1943141dd2c04169bfae1f08299ff400 |
| institution | Directory Open Access Journal |
| issn | 2322-4703 2345-6884 |
| language | fas |
| last_indexed | 2024-12-20T23:50:18Z |
| publishDate | 2015-01-01 |
| publisher | Shahrekord University of Medical Sciences |
| record_format | Article |
| series | Majallah-i Bālīnī-i Parastārī va Māmāyī |
| spelling | doaj.art-1943141dd2c04169bfae1f08299ff4002022-12-21T19:22:51ZfasShahrekord University of Medical SciencesMajallah-i Bālīnī-i Parastārī va Māmāyī2322-47032345-68842015-01-01345664Study of Some Determinants of Birth weight in QazvinNasim Bahrami0Mohammad Ali Soleimani1Yong Hoan Chan2Reza Masoudi3Leyla Rabiei4 Qazvin University of Medical Sciences, Qazvin, Iran Qazvin University of Medical Sciences, Qazvin, Iran Biostatistics Unit, Yong Loo Lin School of Medicine, National University Health System, Singapore Shahrekord University of Medical Sciences, Shahrekord, Iran Student, Isfahan University of Medical Sciences, Isfahan, Iran Background and aim: Birth weight is related to many factors and specific medical conditions that have been existed or developed in during pregnancy. The aim of this study was to investigate and evaluate some determinants of birth weight in Qazvin. Methods: In this cross- sectional descriptive-analytic study in 2010, 3076 women with the normal vaginal delivery (NVD) entered into the study. The univariate and multivariate predictors for birth weight were analyzed using General Linear Model (GLM). Results: Average neonatal birth weight was 3248.18 ± 458.36 gr and maternal age was 25.33 ± 5.70 years. The prevalence rate of low birth weight and macrosomia were 6.67% (205 newborns) and 3.15% (97 newborns), respectively. Univariate predictors for heavier birth weights are multi-parity, male neonates, term & post term neonates, neonates of non-preeclampsia mothers and mothers above 18 years old. Upon multivariate, most of the univariate predictors remain except mother’s age lost its influence on birth weight Season of Birth became statistically significant with spring (P= 0.01) and winter (P= 0.01) having bigger babies compared to summer period. Conclusion: Some of determinants of birth weight are non- modifiable and interventions on them are not possible, but by adjusting some factors such as selection of the appropriate age for pregnancy, it is possible to have optimal birth weight.http://jcnm.skums.ac.ir/article-1-27-en.htmlbirth weightlow birth weightnewbornunivariate predictorsmulti predictors |
| spellingShingle | Nasim Bahrami Mohammad Ali Soleimani Yong Hoan Chan Reza Masoudi Leyla Rabiei Study of Some Determinants of Birth weight in Qazvin Majallah-i Bālīnī-i Parastārī va Māmāyī birth weight low birth weight newborn univariate predictors multi predictors |
| title | Study of Some Determinants of Birth weight in Qazvin |
| title_full | Study of Some Determinants of Birth weight in Qazvin |
| title_fullStr | Study of Some Determinants of Birth weight in Qazvin |
| title_full_unstemmed | Study of Some Determinants of Birth weight in Qazvin |
| title_short | Study of Some Determinants of Birth weight in Qazvin |
| title_sort | study of some determinants of birth weight in qazvin |
| topic | birth weight low birth weight newborn univariate predictors multi predictors |
| url | http://jcnm.skums.ac.ir/article-1-27-en.html |
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