Risk Factors Predicting Infectious Lactational Mastitis: Decision Tree Approach versus Logistic Regression Analysis.
Objectives Lactational mastitis frequently leads to a premature abandonment of breastfeeding; its development has been associated with several risk factors. This study aims to use a decision tree (DT) approach to establish the main risk factors involved in mastitis and to compare its performance for...
| Publicado en: | Maternal & Child Health Journal Vol. 20; no. 9; pp. 1895 - 1904 |
|---|---|
| Autores principales: | , , , , |
| Formato: | algorithm research tables/charts Journal Article |
| Publicado: |
Springer Nature
Sep2016
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=117761503&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 117761503 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10927875 N9J jtl: Maternal & Child Health Journal issn: 10927875 maglogo: N pubinfo: dt: Sep2016 vid: 20 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 117761503 117761503 117761503 10.1007/s10995-016-2000-6 117761503 ppf: 1895 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Risk Factors Predicting Infectious Lactational Mastitis: Decision Tree Approach versus Logistic Regression Analysis. aug: au: Fernández, Leónides Mediano, Pilar García, Ricardo Rodríguez, Juan Marín, María affil: Departamento de Nutrición, Bromatología y Tecnología de los Alimentos , Universidad Complutense de Madrid , Ciudad Universitaria, Avda. Puerta de Hierro, s/n 28040 Madrid Spain sug: subj: Mastitis Risk Factors Decision Trees Utilization Lactation Human Logistic Regression Female Pregnancy Step-Wise Multiple Regression Breast Feeding Questionnaires ROC Curve Sensitivity and Specificity Bivariate Statistics Multivariate Analysis Spain Chi Square Test Odds Ratio Confidence Intervals Data Analysis Software Case Control Studies Retrospective Design Bias (Research) Funding Source Female ab: Objectives Lactational mastitis frequently leads to a premature abandonment of breastfeeding; its development has been associated with several risk factors. This study aims to use a decision tree (DT) approach to establish the main risk factors involved in mastitis and to compare its performance for predicting this condition with a stepwise logistic regression (LR) model. Methods Data from 368 cases (breastfeeding women with mastitis) and 148 controls were collected by a questionnaire about risk factors related to medical history of mother and infant, pregnancy, delivery, postpartum, and breastfeeding practices. The performance of the DT and LR analyses was compared using the area under the receiver operating characteristic (ROC) curve. Sensitivity, specificity and accuracy of both models were calculated. Results Cracked nipples, antibiotics and antifungal drugs during breastfeeding, infant age, breast pumps, familial history of mastitis and throat infection were significant risk factors associated with mastitis in both analyses. Bottle-feeding and milk supply were related to mastitis for certain subgroups in the DT model. The areas under the ROC curves were similar for LR and DT models (0.870 and 0.835, respectively). The LR model had better classification accuracy and sensitivity than the DT model, but the last one presented better specificity at the optimal threshold of each curve. Conclusions The DT and LR models constitute useful and complementary analytical tools to assess the risk of lactational infectious mastitis. The DT approach identifies high-risk subpopulations that need specific mastitis prevention programs and, therefore, it could be used to make the most of public health resources. pubtype: Academic Journal doctype: algorithm research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|