Objective: This study aims to estimate the prevalence and risk factors of macrosomia and LGA (large for gestational age) in non-GDM (gestational diabetes mellitus) pregnant women in Fuyang, Anhui Province of China. Methods: A large population-based cohort study was conducted among non-GDM pregnant women aged 18-45 years. Maternal sociodemographic data prior to pregnancy were collected using interviewer-administered standardized questionnaire. Maternal obstetrical delivery records and newborn hospital records were extracted from antenatal care booklets and hospital discharge abstracts. Logistic regression analysis was used to identify the predictors of macrosomia and LGA. Results: The incidence of macrosomia and LGA was 9.2 and 15.9%, respectively. Mothers ≥35 years of age (aOR 2.75, 95% CI 1.98, 3.80), male neonates (aOR 1.68, 95% CI 1.51, 1.89), overweight and obese (aOR 1.61, 95% CI 1.34, 1.92 and aOR 3.05, 95% CI 2.05, 4.56, respectively) were associated with increased risk of macrosomia. Compared with the less educated mothers, the educated mothers were more likely to have increased risk of macrosomia. IFA (iron and folic acid) supplements intake during pregnancy was more likely to deliver macrosomia or LGA (aOR1.32, 95% CI 1.08, 1.49 and aOR1.42, 95% CI 1.24, 1.61, respectively) as compared with no IFA supplements intake. SCr (serum creatinine concentration) >80 µmol/L was related to decreased risk of macrosomia (aOR 0.73, 95% CI 0.61, 0.86) and LGA (aOR 0.67, 95% CI 0.59, 0.77) as compared with normal range (44-80 µmol/L).Conclusions: There was a high prevalence of macrosomia and LGA in non-GDM pregnant women in China. Healthcare educations and reasonable body weight are necessary for pregnant women to prevent macrosomia and LGA. Pregnant women should be checked regularly and have the first prenatal visit as soon as possible.
Objective: This study aims to estimate the prevalence and risk factors of macrosomia and LGA (large for gestational age) in non-GDM (gestational diabetes mellitus) pregnant women in Fuyang, Anhui Province of China. Methods: A large population-based cohort study was conducted among non-GDM pregnant women aged 18-45 years. Maternal sociodemographic data prior to pregnancy were collected using interviewer-administered standardized questionnaire. Maternal obstetrical delivery records and newborn hospital records were extracted from antenatal care booklets and hospital discharge abstracts. Logistic regression analysis was used to identify the predictors of macrosomia and LGA. Results: The incidence of macrosomia and LGA was 9.2 and 15.9%, respectively. Mothers ≥35 years of age (aOR 2.75, 95% CI 1.98, 3.80), male neonates (aOR 1.68, 95% CI 1.51, 1.89), overweight and obese (aOR 1.61, 95% CI 1.34, 1.92 and aOR 3.05, 95% CI 2.05, 4.56, respectively) were associated with increased risk of macrosomia. Compared with the less educated mothers, the educated mothers were more likely to have increased risk of macrosomia. IFA (iron and folic acid) supplements intake during pregnancy was more likely to deliver macrosomia or LGA (aOR1.32, 95% CI 1.08, 1.49 and aOR1.42, 95% CI 1.24, 1.61, respectively) as compared with no IFA supplements intake. SCr (serum creatinine concentration) >80 µmol/L was related to decreased risk of macrosomia (aOR 0.73, 95% CI 0.61, 0.86) and LGA (aOR 0.67, 95% CI 0.59, 0.77) as compared with normal range (44-80 µmol/L).Conclusions: There was a high prevalence of macrosomia and LGA in non-GDM pregnant women in China. Healthcare educations and reasonable body weight are necessary for pregnant women to prevent macrosomia and LGA. Pregnant women should be checked regularly and have the first prenatal visit as soon as possible.
Entities:
Keywords:
LGA; Large for gestational age; macrosomia; prevalence; risk factor
Authors: Reyna Sámano; Gabriela Chico-Barba; María Eugenia Flores-Quijano; Estela Godínez-Martínez; Hugo Martínez-Rojano; Luis Ortiz-Hernandez; Oralia Nájera-Medina; María Hernández-Trejo; Cristopher Hurtado-Solache Journal: Int J Environ Res Public Health Date: 2021-12-28 Impact factor: 3.390