Prevalence and Determinants of Preterm Birth in Tehran, Iran: A Comparison between Logistic Regression and Decision Tree Methods
Osong Public Health and Research Perspectives
;
(6): 195-200, 2017.
Artigo
em Inglês
| WPRIM
| ID: wpr-656368
ABSTRACT
OBJECTIVES:
Preterm birth (PTB) is a leading cause of neonatal death and the second biggest cause of death in children under five years of age. The objective of this study was to determine the prevalence of PTB and its associated factors using logistic regression and decision tree classification methods.METHODS:
This cross-sectional study was conducted on 4,415 pregnant women in Tehran, Iran, from July 6–21, 2015. Data were collected by a researcher-developed questionnaire through interviews with mothers and review of their medical records. To evaluate the accuracy of the logistic regression and decision tree methods, several indices such as sensitivity, specificity, and the area under the curve were used.RESULTS:
The PTB rate was 5.5% in this study. The logistic regression outperformed the decision tree for the classification of PTB based on risk factors. Logistic regression showed that multiple pregnancies, mothers with preeclampsia, and those who conceived with assisted reproductive technology had an increased risk for PTB (p < 0.05).CONCLUSION:
Identifying and training mothers at risk as well as improving prenatal care may reduce the PTB rate. We also recommend that statisticians utilize the logistic regression model for the classification of risk groups for PTB.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Pré-Eclâmpsia
/
Gravidez Múltipla
/
Cuidado Pré-Natal
/
Árvores de Decisões
/
Modelos Logísticos
/
Prontuários Médicos
/
Prevalência
/
Estudos Transversais
/
Fatores de Risco
/
Causas de Morte
Tipo de estudo:
Estudo diagnóstico
/
Estudo de etiologia
/
Avaliação Econômica em Saúde
/
Estudo observacional
/
Estudo de prevalência
/
Estudo prognóstico
/
Fatores de risco
Limite:
Criança
/
Feminino
/
Humanos
/
Lactente
/
Gravidez
País/Região como assunto:
Ásia
Idioma:
Inglês
Revista:
Osong Public Health and Research Perspectives
Ano de publicação:
2017
Tipo de documento:
Artigo
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