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Predictors of unintended pregnancy among married women in Hamada, Western Iran: a case-control study
Iranian Journal of Public Health. 2013; 42 (8): 854-859
en Inglés | IMEMR | ID: emr-140831
ABSTRACT
Literatures that focus on the risk factors of unintended pregnancy among married women are limited especially in developing countries. The aim of this study was to determine the predictors of unintended pregnancy in a west region of Iran. This case-control study was conducted from September to November 2011 in Hamadan City, western Iran. A stratified cluster random sampling method was used for data collection. All participants were enrolled voluntarily into the study including 181 cases and 391 controls. Cases were married women with unintended pregnancy. Controls were married women with planned pregnancy. Of 572 participants, 31 [5.4%] women had not used any methods of contraception prior to the recent pregnancy. The proportion of using ineffective contraceptive methods such as withdrawal was higher in cases than in controls. The most effective predictor of unintended pregnancy was the number of previous alive children so that the risk of unplanned pregnancy increased 3.68 per one child [P<0.001]. This study introduced several effective predictors for unintended pregnancy among married women which may be useful for family planning programs. The high-risk population should be strongly advised to use highly effective contraceptive methods such as tubal ligation, vasectomy or OCP provided that being used correctly
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Índice: IMEMR (Mediterraneo Oriental) Asunto principal: Matrimonio / Estudios de Casos y Controles / Encuestas y Cuestionarios / Anticoncepción / Servicios de Planificación Familiar Límite: Femenino / Humanos Idioma: Inglés Revista: Iran. J. Public Health Año: 2013

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Índice: IMEMR (Mediterraneo Oriental) Asunto principal: Matrimonio / Estudios de Casos y Controles / Encuestas y Cuestionarios / Anticoncepción / Servicios de Planificación Familiar Límite: Femenino / Humanos Idioma: Inglés Revista: Iran. J. Public Health Año: 2013