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1.
Chinese Journal of Epidemiology ; (12): 1082-1085, 2018.
Artigo em Chinês | WPRIM | ID: wpr-738101

RESUMO

Objective: To investigate the risks of pre-pregnancy overweight, excessive gestational weight gain on macrosomia. Methods: We conducted one hospital-based cohort study, focusing on pregnant women from January 2015. All pregnant women attending to this hospital for maternal check-ups, were included in our cohort and followed to the time of delivery. Data related to general demographic characteristics, pregnancy and health status of those pregnant women, was collected and maternal pre-pregnant BMI and maternal weight gain were calculated. Logistic regression was used to explore the risk difference of pre-pregnancy BMI, excessive gestational weight gain on macrosomia. Results: The overall incidence of macrosomia in our cohort appeared as 6.6% (149/2 243). After adjusting the confounding factors including age and histories on pregnancy, pre-pregnancy overweight/obesity was associated with higher risks of macrosomia (OR=3.12, 95%CI: 1.35-7.22, P=0.008; OR=2.99, 95%CI: 1.17-7.63, P=0.022) when comparing to those with normal pre-pregnancy weight. Cesarean delivery and sex of the offspring were associated with higher risk of macrosomia, while excessive gestational weight gain showed no significant difference (OR=1.41, 95%CI: 0.96-2.09, P=0.084). Our data showed that Macrosomia was statistically associated with gestational weight gain (P=0.002). After controlling parameters as age, history of pregnancy and related complications of the pregnant women, results from the logistic regression showed that women with gestational inadequate weight gain having reduced risks to deliver macrosomia, when compared to those pregnant women with adequate weight gain (OR=0.52, 95%CI: 0.30-0.90, P=0.019). Conclusion: Pre-pregnancy overweight and obesity were on higher risks to macrosomia.


Assuntos
Feminino , Humanos , Gravidez , Índice de Massa Corporal , Cesárea/estatística & dados numéricos , China/epidemiologia , Macrossomia Fetal/epidemiologia , Incidência , Modelos Logísticos , Obesidade/epidemiologia , Sobrepeso/epidemiologia , Complicações na Gravidez/epidemiologia , Estudos Prospectivos , Aumento de Peso
2.
Chinese Journal of Epidemiology ; (12): 1082-1085, 2018.
Artigo em Chinês | WPRIM | ID: wpr-736633

RESUMO

Objective To investigate the risks of pre-pregnancy overweight,excessive gestational weight gain on macrosomia.Methods We conducted one hospital-based cohort study,focusing on pregnant women from January 2015.All pregnant women attending to this hospital for maternal check-ups,were included in our cohort and followed to the time of delivery.Data related to general demographic characteristics,pregnancy and health status of those pregnant women,was collected and maternal pre-pregnant BMI and maternal weight gain were calculated.Logistic regression was used to explore the risk difference of pre-pregnancy BMI,excessive gestational weight gain on macrosomia.Results The overall incidence of macrosomia in our cohort appeared as 6.6% (149/2 243).After adjusting the confounding factors including age and histories on pregnancy,prepregnancy overweight/obesity was associated with higher risks of macrosomia (OR=3.12,95% CI:1.35-7.22,P=0.008;OR=2.99,95%CI:1.17-7.63,P=0.022) when comparing to those with normal pre-pregnancy weight.Cesarean delivery and sex of the offspring were associated with higher risk of macrosomia,while excessive gestational weight gain showed no significant difference (OR=1.41,95%CI:0.96-2.09,P=0.084).Our data showed that Macrosomia was statistically associated with gestational weight gain (P=0.002).After controlling parameters as age,history of pregnancy and related complications of the pregnant women,results from the logistic regression showed that women with gestational inadequate weight gain having reduced risks to deliver macrosomia,when compared to those pregnant women with adequate weight gain (OR=0.52,95% CI:0.30-0.90,P=0.019).Conclusion Pre-pregnancy overweight and obesity were on higher risks to macrosomia.

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