Women's Health Research Unit, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Multidisciplinary Evidence Synthesis Hub, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Health Technol Assess. 2017 Aug;21(41):1-158. doi: 10.3310/hta21410.
Diet- and physical activity-based interventions in pregnancy have the potential to alter maternal and child outcomes.
To assess whether or not the effects of diet and lifestyle interventions vary in subgroups of women, based on maternal body mass index (BMI), age, parity, Caucasian ethnicity and underlying medical condition(s), by undertaking an individual patient data (IPD) meta-analysis. We also evaluated the association of gestational weight gain (GWG) with adverse pregnancy outcomes and assessed the cost-effectiveness of the interventions.
MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, Database of Abstracts of Reviews of Effects and Health Technology Assessment database were searched from October 2013 to March 2015 (to update a previous search).
Researchers from the International Weight Management in Pregnancy Collaborative Network shared the primary data. For each intervention type and outcome, we performed a two-step IPD random-effects meta-analysis, for all women (except underweight) combined and for each subgroup of interest, to obtain summary estimates of effects and 95% confidence intervals (CIs), and synthesised the differences in effects between subgroups. In the first stage, we fitted a linear regression adjusted for baseline (for continuous outcomes) or a logistic regression model (for binary outcomes) in each study separately; estimates were combined across studies using random-effects meta-analysis models. We quantified the relationship between weight gain and complications, and undertook a decision-analytic model-based economic evaluation to assess the cost-effectiveness of the interventions.
Diet and lifestyle interventions reduced GWG by an average of 0.70 kg (95% CI -0.92 to -0.48 kg; 33 studies, 9320 women). The effects on composite maternal outcome [summary odds ratio (OR) 0.90, 95% CI 0.79 to 1.03; 24 studies, 8852 women] and composite fetal/neonatal outcome (summary OR 0.94, 95% CI 0.83 to 1.08; 18 studies, 7981 women) were not significant. The effect did not vary with baseline BMI, age, ethnicity, parity or underlying medical conditions for GWG, and composite maternal and fetal outcomes. Lifestyle interventions reduce Caesarean sections (OR 0.91, 95% CI 0.83 to 0.99), but not other individual maternal outcomes such as gestational diabetes mellitus (OR 0.89, 95% CI 0.72 to 1.10), pre-eclampsia or pregnancy-induced hypertension (OR 0.95, 95% CI 0.78 to 1.16) and preterm birth (OR 0.94, 95% CI 0.78 to 1.13). There was no significant effect on fetal outcomes. The interventions were not cost-effective. GWG, including adherence to the Institute of Medicine-recommended targets, was not associated with a reduction in complications. Predictors of GWG were maternal age (summary estimate -0.10 kg, 95% CI -0.14 to -0.06 kg) and multiparity (summary estimate -0.73 kg, 95% CI -1.24 to -0.23 kg).
The findings were limited by the lack of standardisation in the components of intervention, residual heterogeneity in effects across studies for most analyses and the unavailability of IPD in some studies.
Diet and lifestyle interventions in pregnancy are clinically effective in reducing GWG irrespective of risk factors, with no effects on composite maternal and fetal outcomes.
The differential effects of lifestyle interventions on individual pregnancy outcomes need evaluation.
This study is registered as PROSPERO CRD42013003804.
The National Institute for Health Research Health Technology Assessment programme.
基于饮食和运动的干预措施有可能改变母婴结局。
通过个体患者数据(IPD)荟萃分析,评估饮食和生活方式干预对不同亚组妇女的效果是否存在差异,这些亚组基于母体体重指数(BMI)、年龄、产次、白种人种族和潜在疾病状况等因素。我们还评估了妊娠体重增加(GWG)与不良妊娠结局的关系,并评估了干预措施的成本效益。
从 2013 年 10 月至 2015 年 3 月(更新之前的搜索),检索 MEDLINE、EMBASE、Cochrane 对照试验中心注册库、文摘数据库中的评论和效果以及卫生技术评估数据库。
国际体重管理妊娠协作网络的研究人员共享了主要数据。对于每种干预类型和结局,我们对所有女性(除了体重过轻的女性)进行了两步 IPD 随机效应荟萃分析,并对每个感兴趣的亚组进行了分析,以获得效应的汇总估计值和 95%置信区间(CI),并综合了亚组之间效应的差异。在第一阶段,我们在每个研究中分别针对连续结局进行线性回归调整,或针对二项结局进行逻辑回归模型调整;使用随机效应荟萃分析模型对研究进行综合。我们量化了体重增加与并发症之间的关系,并进行了基于决策分析模型的经济评估,以评估干预措施的成本效益。
饮食和生活方式干预使 GWG 平均减少了 0.70 公斤(95%CI -0.92 至 -0.48 公斤;33 项研究,9320 名女性)。对复合母体结局[综合优势比(OR)0.90,95%CI 0.79 至 1.03;24 项研究,8852 名女性]和复合胎儿/新生儿结局(综合 OR 0.94,95%CI 0.83 至 1.08;18 项研究,7981 名女性)的影响不显著。GWG 和复合母体及胎儿结局的效果与基线 BMI、年龄、种族、产次或潜在疾病状况无关。生活方式干预减少了剖宫产(OR 0.91,95%CI 0.83 至 0.99),但不能降低其他个体母体结局,如妊娠期糖尿病(OR 0.89,95%CI 0.72 至 1.10)、子痫前期或妊娠高血压(OR 0.95,95%CI 0.78 至 1.16)和早产(OR 0.94,95%CI 0.78 至 1.13)。对胎儿结局没有显著影响。这些干预措施在成本效益方面不可行。GWG,包括对医学研究所推荐目标的依从性,与并发症的减少无关。GWG 的预测因素是母亲年龄(综合估计值-0.10 公斤,95%CI -0.14 至 -0.06 公斤)和多胎产次(综合估计值-0.73 公斤,95%CI -1.24 至 -0.23 公斤)。
研究结果受到干预措施成分缺乏标准化、大多数分析中研究间效应存在残余异质性以及一些研究中无法获得 IPD 的限制。
在妊娠期间,饮食和生活方式干预在减少 GWG 方面具有临床效果,与危险因素无关,对复合母体和胎儿结局没有影响。
需要评估生活方式干预对个别妊娠结局的差异影响。
本研究注册为 PROSPERO CRD42013003804。
英国国家卫生研究院卫生技术评估计划。