Institute of Nutritional Medicine, School of Medicine, Else Kröner-Fresenius-Centre for Nutritional Medicine, Technical University of Munich, Georg-Brauchle-Ring 62, 80992, Munich, Germany.
European Foundation for the Care of Newborn Infants, Hofmannstrasse 7a, 81379, Munich, Germany.
BMC Pregnancy Childbirth. 2022 Mar 21;22(1):230. doi: 10.1186/s12884-022-04513-5.
Maternal lifestyle is discussed as a modifiable determinant in the prevention of preterm birth. However, previous research on associations between individual lifestyle factors and preterm birth risk is inconclusive. In this secondary analysis, we investigated the associations between several modifiable antenatal lifestyle factors and the odds of preterm birth.
This secondary cohort analysis used data from the cluster-randomised controlled "healthy living in pregnancy" (GeliS) trial. Data were collected from early pregnancy to birth with maternity records, validated questionnaires and birth protocols. Women with complete datasets for all covariates were eligible for analysis. Multivariate logistic regression models, adjusted for recognised risk factors, were fitted to determine whether dietary quality, assessed with a healthy eating index (HEI), physical activity (PA) levels and antenatal anxiety/distress influenced the odds of preterm birth. Moreover, the combined association between pre-pregnancy body mass index (BMI) and HEI on the odds of preterm birth was explored. The independent associations of individual dietary components and types of PA on prematurity were assessed by adjusted logistic regression models.
Overall, 1738 women were included in the analysis. A low HEI significantly increased the odds of preterm birth (OR 1.54 (CI 1.04 - 2.30), p = 0.033), while no associations with either low PA levels or antenatal anxiety/distress were observed. BMI significantly interacted with HEI on the association with prematurity (p = 0.036). Energy % from protein and the intake of average portions of vegetables and cereals were significantly negatively associated with the odds of preterm birth. There was no significant evidence of an association between different types of PA and prematurity.
This cohort analysis revealed that low dietary quality in early pregnancy may increase the chance of giving birth prematurely, while healthier dietary choices may help to prevent preterm birth. More research on pre- and early pregnancy modifiable lifestyle factors is warranted.
This trial is registered with the Clinical Trial Registry ClinicalTrials.gov ( NCT01958307 ). Registration date 09 October 2013, retrospectively registered.
生活方式被认为是预防早产的可改变决定因素。然而,以前关于个别生活方式因素与早产风险之间关联的研究结果并不一致。在这项二次分析中,我们调查了几种可改变的产前生活方式因素与早产风险之间的关联。
这项二次队列分析使用了来自集群随机对照“怀孕健康生活”(GeliS)试验的数据。数据通过产妇记录、经过验证的问卷和出生协议从早孕到分娩进行收集。符合所有协变量完整数据集的女性有资格进行分析。为了确定饮食质量、体力活动水平和产前焦虑/压力是否影响早产的几率,我们使用经过认可的风险因素进行了调整的多变量逻辑回归模型进行拟合。此外,还探讨了孕前体重指数(BMI)和健康饮食指数(HEI)联合对早产几率的影响。通过调整后的逻辑回归模型评估了个别饮食成分和体力活动类型与早产之间的独立关联。
总体而言,共有 1738 名女性纳入分析。低 HEI 显著增加早产的几率(OR 1.54(95%CI 1.04-2.30),p=0.033),而低 PA 水平或产前焦虑/压力与早产无关。BMI 与 HEI 之间的交互作用对早产的关联具有显著性(p=0.036)。蛋白质的能量百分比和蔬菜和谷物的平均份量摄入量与早产的几率呈显著负相关。不同类型的 PA 与早产之间没有显著关联。
这项队列分析表明,早孕时饮食质量低可能会增加早产的机会,而更健康的饮食选择可能有助于预防早产。需要对孕前和早孕的可改变生活方式因素进行更多的研究。
这项试验在临床试验注册中心 ClinicalTrials.gov(NCT01958307)注册。注册日期为 2013 年 10 月 9 日,回顾性注册。