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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Evidence Based Care Journal
- نوع مقاله: Journal Article
- کلمات کلیدی: Infant,Breast,Engorgement,Oketani-massage,Weight gains
- چکیده:
- چکیده انگلیسی: Background: The most important factor affecting weight gain after birth is the type and mode of neonatal feeding. The most suitable nutrition is exclusive breastfeeding. However, breastfeeding can be accompanied with some difficulties, such as breast engorgement, which results in neonatal feeding complications. Breast Oketani-massage therapy is proposed as a treatment for breast engorgement.
Aim: This study aimed to determine the effect of breast Oketani-massage therapy on neonatal weight gain among lactating women with breast engorgement.
Method: This randomized controlled clinical trial was conducted on 100 postpartum (i.e., on the first five days of childbirth) women admitted to the Midwifery Clinic and Gynecology and Obstetric Department of Imam Reza Hospital, Mashhad, Iran, due to breast engorgement from August to November 2016. The subjects were divided into two groups, namely Oketani massage and routine care training, through random block allocation. The data were collected regarding neonatal weight gain before and after the intervention and analyzed in SPSS (version 20) using repeated measures ANOVA.
Results: The results revealed no significant difference between the two groups in terms of neonatal weight gain on within days 1-5 day before the intervention (P=0.17). However, a statically significant difference was observed between the two groups in this regard 14 and 28 days post-intervention (P<0.001).
Implications for Practice: This study showed that breast Oketani-massage in comparison to the routine care increased the neonatal weight gain among lactating women with breast engorgement.- انتشار مقاله: 02-04-1397
- نویسندگان: Mahsa Dehghani,Raheleh Babazadeh,Talat Khadivzadeh,Seyeheh Azam Pourhoseini,Habibollah Esmaeili
- مشاهده
- جایگاه : پژوهشی
- مجله: Evidence Based Care Journal
- نوع مقاله: Journal Article
- کلمات کلیدی: Infant,Breast,Engorgement,Oketani-massage,Weight gains
- چکیده:
- چکیده انگلیسی: Background: The most important factor affecting weight gain after birth is the type and mode of neonatal feeding. The most suitable nutrition is exclusive breastfeeding. However, breastfeeding can be accompanied with some difficulties, such as breast engorgement, which results in neonatal feeding complications. Breast Oketani-massage therapy is proposed as a treatment for breast engorgement.
Aim: This study aimed to determine the effect of breast Oketani-massage therapy on neonatal weight gain among lactating women with breast engorgement.
Method: This randomized controlled clinical trial was conducted on 100 postpartum (i.e., on the first five days of childbirth) women admitted to the Midwifery Clinic and Gynecology and Obstetric Department of Imam Reza Hospital, Mashhad, Iran, due to breast engorgement from August to November 2016. The subjects were divided into two groups, namely Oketani massage and routine care training, through random block allocation. The data were collected regarding neonatal weight gain before and after the intervention and analyzed in SPSS (version 20) using repeated measures ANOVA.
Results: The results revealed no significant difference between the two groups in terms of neonatal weight gain on within days 1-5 day before the intervention (P=0.17). However, a statically significant difference was observed between the two groups in this regard 14 and 28 days post-intervention (P<0.001).
Implications for Practice: This study showed that breast Oketani-massage in comparison to the routine care increased the neonatal weight gain among lactating women with breast engorgement.- انتشار مقاله: 02-04-1397
- نویسندگان: Mahsa Dehghani,Raheleh Babazadeh,Talat Khadivzadeh,Seyeheh Azam Pourhoseini,Habibollah Esmaeili
- مشاهده
- جایگاه : پژوهشی
- مجله: Asian Pacific Journal of Cancer Prevention
- نوع مقاله: Journal Article
- کلمات کلیدی: cancer,Data mining,Knowledge,lung neoplasms,Informatics
- چکیده:
- چکیده انگلیسی:
Background: Data mining, a new concept introduced in the mid-1990s, can help researchers to gain new, profound insights and facilitate access to unanticipated knowledge sources in biomedical datasets. Many issues in the medical field are concerned with the diagnosis of diseases based on tests conducted on individuals at risk. Early diagnosis and treatment can provide a better outcome regarding the survival of lung cancer patients. Researchers can use data mining techniques to create effective diagnostic models. The aim of this study was to evaluate patterns existing in risk factor data of for mortality one year after thoracic surgery for lung cancer. Methods: The dataset used in this study contained 470 records and 17 features. First, the most important variables involved in the incidence of lung cancer were extracted using knowledge discovery and datamining algorithms such as naive Bayes, maximum expectation and then, using a regression analysis algorithm, a questionnaire was developed to predict the risk of death one year after lung surgery. Outliers in the data were excluded and reported using the clustering algorithm. Finally, a calculator was designed to estimate the risk for one-year post-operative mortality based on a scorecard algorithm. Results: The results revealed the most important factor involved in increased mortality to be large tumor size. Roles for type II diabetes and preoperative dyspnea in lower survival were also identified. The greatest commonality in classification of patients was Forced expiratory volume in first second (FEV1), based on levels of which patients could be classified into different categories. Conclusion: Development of a questionnaire based on calculations to diagnose disease can be used to identify and fill knowledge gaps in clinical practice guidelines.- انتشار مقاله: 19-11-1395
- نویسندگان: Peyman Rezaei Hachesu,Nazila Moftian,Mahsa Dehghani,Taha Samad-Soltani
- مشاهده