Abstract Introduction. 15 to 25% of women smoke during pregnancy. Scientific evidence suggests that exposure to smoking causes decreased birth weight. The aim of this study was to assess the correlation between smoking during pregnancy, maternal sociodemographic characteristics, and low birth weight. Methods. Data were derived from 1572 questionnaires administered to each woman that gave birth at the Gynecology Teaching Hospital "S. Anna" in Turin (Italy) during the period from 2008 to 2010. Multiple logistic analysis was used to evaluate the association between socio-demographic characteristics and birth weight; the stepwise approach with a "backward elimination" procedure was followed, and the goodness of fit of the model was estimated using the Hosmer-Lemeshow test. Results. The univariate analysis revealed that smoking cigarettes (17%), having a lower educational level (13%), and female sex of the infant (13%) seem to be risk factors, as they increase the risk of having a low birth weight child. Logistic regression analysis showed that gestational age and maternal smoking are the statistically associated variables. Conclusions. The results confirmed that birth weight increases proportionally with the length of the gestational age and that maternal smoking and the child's sex (female) increase the risk of having a lower birth weight. Logistic regression demonstrated that the association between maternal smoking and low birth weight shows an increased risk for the whole population (OR=2.85), for male (OR=3.45) and for female newborns (OR=2.44).
Abstract Introduction. 15 to 25% of women smoke during pregnancy. Scientific evidence suggests that exposure to smoking causes decreased birth weight. The aim of this study was to assess the correlation between smoking during pregnancy, maternal sociodemographic characteristics, and low birth weight. Methods. Data were derived from 1572 questionnaires administered to each woman that gave birth at the Gynecology Teaching Hospital "S. Anna" in Turin (Italy) during the period from 2008 to 2010. Multiple logistic analysis was used to evaluate the association between socio-demographic characteristics and birth weight; the stepwise approach with a "backward elimination" procedure was followed, and the goodness of fit of the model was estimated using the Hosmer-Lemeshow test. Results. The univariate analysis revealed that smoking cigarettes (17%), having a lower educational level (13%), and female sex of the infant (13%) seem to be risk factors, as they increase the risk of having a low birth weight child. Logistic regression analysis showed that gestational age and maternal smoking are the statistically associated variables. Conclusions. The results confirmed that birth weight increases proportionally with the length of the gestational age and that maternal smoking and the child's sex (female) increase the risk of having a lower birth weight. Logistic regression demonstrated that the association between maternal smoking and low birth weight shows an increased risk for the whole population (OR=2.85), for male (OR=3.45) and for female newborns (OR=2.44).
Maternal smoking and socio-demographic characteristics in correlation with low birth weight: A Turin (piedmont) study / Mannocci, Alice; Vaschetto, Claudia; Semyonov, Leda; Poppa, Giuseppina; Massimi, Azzurra; Rabacchi, Grace; Boccia, Antonio; LA TORRE, Giuseppe. - In: SLOVENIAN JOURNAL OF PUBLIC HEALTH. - ISSN 1854-2476. - 53:3(2014), pp. 221-225. [10.2478/sjph-2014-0022]
Maternal smoking and socio-demographic characteristics in correlation with low birth weight: A Turin (piedmont) study
MANNOCCI, ALICE;MASSIMI, AZZURRA;LA TORRE, Giuseppe
2014
Abstract
Abstract Introduction. 15 to 25% of women smoke during pregnancy. Scientific evidence suggests that exposure to smoking causes decreased birth weight. The aim of this study was to assess the correlation between smoking during pregnancy, maternal sociodemographic characteristics, and low birth weight. Methods. Data were derived from 1572 questionnaires administered to each woman that gave birth at the Gynecology Teaching Hospital "S. Anna" in Turin (Italy) during the period from 2008 to 2010. Multiple logistic analysis was used to evaluate the association between socio-demographic characteristics and birth weight; the stepwise approach with a "backward elimination" procedure was followed, and the goodness of fit of the model was estimated using the Hosmer-Lemeshow test. Results. The univariate analysis revealed that smoking cigarettes (17%), having a lower educational level (13%), and female sex of the infant (13%) seem to be risk factors, as they increase the risk of having a low birth weight child. Logistic regression analysis showed that gestational age and maternal smoking are the statistically associated variables. Conclusions. The results confirmed that birth weight increases proportionally with the length of the gestational age and that maternal smoking and the child's sex (female) increase the risk of having a lower birth weight. Logistic regression demonstrated that the association between maternal smoking and low birth weight shows an increased risk for the whole population (OR=2.85), for male (OR=3.45) and for female newborns (OR=2.44).File | Dimensione | Formato | |
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