Adeoye Ikeola A, Fakorede Joshua I, Salawu Mobolaji M, Adediran Kofoworola I
Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Consortium for Advanced Research Training in Africa (CARTA), Nairobi, Kenya.
BMC Pediatr. 2025 Jan 24;25(1):61. doi: 10.1186/s12887-025-05397-y.
Currently, macrosomia contributes to maternal and neonatal morbidity and mortality in low-and middle-income countries because of changes in maternal lifestyle. Reliable data are needed for its prevention, early detection, and management. This study assessed the associations between sociodemographic, anthropometric, maternal lifestyle, perinatal outcomes, and macrosomia in Southwest Nigeria.
We used the Ibadan Pregnancy Cohort Study (IbPCS) data, which investigated maternal obesity, lifestyle factors and the associated pregnancy outcomes among 1745 antenatal care attendees in Southwest Nigeria. This study examined the 1200 women who were not lost to follow-up, had health facility deliveries and the infants' birthweight records. Outcome variables were macrosomia (birthweight ≥ 4 kg) and perinatal outcomes. Explanatory variables were sociodemographic, anthropometric, and maternal lifestyle factors. Maternal blood glucose and lipids were assessed between 24 and 28 weeks' gestation. Bivariate and multiple logistic and Poisson regression analyses examined the associations at a 5% level of statistical significance.
The prevalence of macrosomia was 72 (6%) [95% CI: 4.66-7.35]. On bivariate analysis parity (p = 0.009), maternal age (p = 0.012), history of macrosomia (0.021), consumption of protein-rich diets with non-alcoholic beverages (p = 0.021), sex of infants (p = 0.018), and engagement in physical activity (p = 0.036) were significantly associated with macrosomia. The mean maternal glucose levels were significantly higher among mothers with macrosomic babies compared with those without macrosomia: FPG: 4.72 ± 2.32 vs. 4.32 ± 0.9 mmol/l (p = 0.035), 1-hour plasma glucose: 8.80 ± 3.77 vs. 6.97 ± 1.93 mmol/l (p < 0.001), 2-hour plasma glucose: 7.16 ± 3.20 vs. 6.25 ± 1.73 mmol/l (p = 0.008). The predictors of macrosomia include a history of macrosomia [AOR = 2.057, 95% CI: 1.009-4.191), maternal obesity [AOR = 1.883, 95% CI: 1.027-3.451], and male infants [AOR = 1.847, 95% CI: 1.016-3.357) were more likely to have macrosomia compared to female infants. Furthermore, Emergency Cesarean section was a significant outcome of macrosomia [RR = 1.675, 95% CI: 1.068-2.627].
Macrosomia was common among our study population. This study identified common modifiable risk factors for foetal macrosomia, its mechanistic pathways and suggested prevention and control strategies for macrosomia among pregnant women.
目前,由于孕产妇生活方式的改变,巨大儿在低收入和中等收入国家导致孕产妇和新生儿发病及死亡。其预防、早期检测和管理需要可靠的数据。本研究评估了尼日利亚西南部社会人口统计学、人体测量学、孕产妇生活方式、围产期结局与巨大儿之间的关联。
我们使用了伊巴丹妊娠队列研究(IbPCS)的数据,该研究调查了尼日利亚西南部1745名产前检查参与者中的孕产妇肥胖、生活方式因素及相关妊娠结局。本研究考察了1200名未失访、在医疗机构分娩且有婴儿出生体重记录的妇女。结局变量为巨大儿(出生体重≥4千克)和围产期结局。解释变量为社会人口统计学、人体测量学和孕产妇生活方式因素。在妊娠24至28周期间评估孕产妇血糖和血脂。双变量及多因素逻辑回归和泊松回归分析在5%的统计学显著性水平上检验关联。
巨大儿的患病率为72例(6%)[95%置信区间:4.66 - 7.35]。双变量分析显示,产次(p = 0.009)、孕产妇年龄(p = 0.012)、巨大儿病史(0.021)、富含蛋白质饮食与非酒精饮料的摄入(p = 0.021)、婴儿性别(p = 0.018)以及体育活动参与情况(p = 0.036)与巨大儿显著相关。与无巨大儿的母亲相比,有巨大儿婴儿的母亲的平均血糖水平显著更高:空腹血糖:4.72±2.32 vs. 4.32±0.9毫摩尔/升(p = 0.035),1小时血糖:8.80±3.77 vs. 6.97±1.93毫摩尔/升(p < 0.001),2小时血糖:7.16±