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Determinants of caesarean risk factor in Northern region of Bangladesh: A multivariate analysis
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نویسنده
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rahman m. ,shariff a.a. ,shafie a. ,saaid r. ,md tahir r.
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منبع
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iranian journal of public health - 2014 - دوره : 43 - شماره : 1 - صفحه:16 -27
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چکیده
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Background: caesarean section (c-section) rates have been increasing dramatically in the past decades around the world. this increase has been attributed to multiple factors such as maternal,socio-demographic and institutional fac-tors. therefore,this study examines the impact of maternal,socio-demographic and relevant characteristics on caesar-ean delivery in the northern region of bangladesh. methods: this study is based on a total of 1142 delivery cases from four private hospitals and four public hospitals during the period of january to march 2010. the study was carried out using a cross-sectional design where data were collected by simple random sampling. in order to data analysis,first,an initial bivariate analysis was performed by the chi-square and fisher exact test. secondly,the risk factors which are associated with c-section identify by logistic re-gression model. finally,a stepwise regression analysis was carried out to isolate the most influential risk factors. results: among the 17 risk factors,nine were found significantly associated with type of delivery. eight of the risk factors i.e. previous c-section,pregnancy-induced swollen of leg,prolonged labour,maternal education status,mater-nal age more than 25 years,low birth order,length of baby more than 45cm and irregular intake of a balanced diet remained independently significant for caesarean delivery. the value of p<0.05 was considered statistically significant. maternal complications were found to be more significant in public hospitals than in private ones and conversely for the demographic characteristics. conclusion: the findings of this study suggested that the above factors may influence the health-seeking behaviour of women in the northern region of bangladesh.
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کلیدواژه
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Caesarean delivery; Multiple logistic regression; Risk factors; Stepwise regression analysis
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آدرس
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institute of graduate studies, Malaysia, centre for foundation studies in science, Malaysia, dept. of geography, Malaysia, dept. of obstetrics and gynecology, Malaysia, centre for foundation studies in science, Malaysia
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Authors
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