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Iranian Journal of Health Sciences، جلد ۹، شماره ۲، صفحات ۹-۱۷
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
Application of Survival Tree Model in Determining Affecting Factors in Breastfeeding Duration |
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| چکیده انگلیسی مقاله |
Background and Purpose: Survival tree model is a nonparametric method which can be used to identify the affecting factors from a specific time to the onset of an event. In this method, the categories are selected according to the most important factors. The purpose of this study was to determine the factors affecting the duration of breastfeeding in mothers and introduce the homogeneous subgroups using a survival tree model. Methods: It was a historical cohort study analyzing the survival data of mothers with healthy single childbirths referring to the rural and urban health centers of Agh-Ghala County since 2011 until 2014. Data analyses and groupings of breastfeeding survival were performed using survival tree model with conditional inference algorithm in R Software. A separation criterion (SEP) confirmed the relevance of the model. Results: Survival tree model results revealed that the type of consumed milk with the complementary nutrition, ethnicity and the time interval between current childbirth and the previous delivery were the most important factors affecting the duration of breastfeeding. The SEP's criterion was 2.082. Thus, due to the significant difference between the subgroups and the value of more than 1 for SEP criterion, the efficiency of the model was confirmed. Conclusions: Survival tree model could be introduced as a suitable and powerful method for ranking the duration of breastfeeding rate which presents four homogeneous subgroups for analysis in addition to identifying the predictive variables. |
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| کلیدواژه‌های انگلیسی مقاله |
Survival Tree, Conditional Inference Algorithm, Homogeneous Subgroups, Duration of Breastfeeding |
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| نویسندگان مقاله |
آمنه سادات شیخ الاسلامی | Amene Sadat Sheykholeslami
Department of Biostatistics, Faculty of Health
دانشگاه علوم پزشکی مازندران
ناصر بهنام پور | Nasser Behnampour
Department of Biostatistics, Faculty of Health
دانشگاه علوم پزشکی مازندران
رضاعلی محمدپور | Reza Ali Mohammadpour
Department of Biostatistics, Faculty of Health
دانشگاه علوم پزشکی مازندران
فاطمه عبدالهی | Fateme Abdollahi
Department of Public Health, Faculty of Health
دانشگاه علوم پزشکی مازندران
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| نشانی اینترنتی |
http://jhs.mazums.ac.ir/browse.php?a_code=A-10-62-1&slc_lang=en&sid=1 |
| فایل مقاله |
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| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
آمار زیستی |
| نوع مقاله منتشر شده |
پژوهشی |
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