Innovative Approaches to Inform Evidence-Based Pregnancy Weight Gain Guidelines
Innovative Approaches to Inform Evidence-Based Pregnancy Weight Gain Guidelines
批准号:
8735174
负责人:
Lisa M Bodnar
金额:
$60.49万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-17 至 2017-05-31
关键词:
AccelerationAddressAdultAgeBirthBody Weight ChangesBody mass indexCaliforniaCategoriesCessation of lifeChildCognitive deficitsDataDatabasesElectronicsEnsureEquationEquilibriumFetal Growth RetardationFundingFutureGestational AgeGestational DiabetesGoalsGrowthGuidelinesHealthHealth PolicyHospitalsInfantInfant HealthInfant MortalityInstitute of Medicine (U.S.)KnowledgeLengthLifeLinkMaternal HealthMaternal and Child HealthMeasurementMeasuresMedicalMedical EconomicsMedical RecordsMedical centerMethodologyMethodsModelingMothersNeurocognitiveNeurocognitive DeficitObesityOutcomePatternPennsylvaniaPerinatalPostpartum PeriodPre-EclampsiaPregnancyPregnancy OutcomePremature BirthPremature InfantProspective StudiesPublic HealthPublishingRecommendationRecordsResearchResearch DesignResearch PersonnelRiskRisk FactorsSamplingTimeUnited States National Institutes of HealthWeightWeight GainWomanabstractingadverse outcomeage relatedbasechild bearingcohortdesignevidence baseevidence based guidelinesinfant deathinfant outcomeinnovationmodifiable riskneonatal deathnoveloffspringprenatalprospectivepublic health relevancestillbirth
中文摘要
描述(由研究者提供):对于许多重要的孕产妇和婴儿健康结局,孕激素体重增加(GWG)是一个潜在的可改变的风险因素。2009年,医学研究所(IOM)委员会重新评估了Geekly体重增加指南,发布了重新提交的体重增加建议。然而,重新提交的指南是在没有明确了解其对一些重要结局的影响的情况下制定的,这些结局包括死胎、婴儿死亡、儿童神经认知状态、先兆子痫和长期母体和后代肥胖。此外,IOM委员会还强调了评估GWG模式和时间以及GWG总体的重要性。该应用程序直接响应这些研究需求,通过检查GWG和GWG模式对广泛的短期和长期母体和后代结局的影响。我们的研究设计将采用来自两个回顾性队列的现有电子记录(宾夕法尼亚州匹兹堡的Magee-Women's Hospital的124,590例单胎分娩和加州伯克利的阿尔塔贝茨峰会医疗中心的36,384例单胎分娩),以及来自Magee-Women's Hospital出生的471对母子的前瞻性队列的数据,并随访22年。该项目旨在确定总GWG与母亲(妊娠期糖尿病,先兆子痫和产后22年的产妇产后体重指数变化)和后代(死产,婴儿死亡率,自发性早产,小于和大于胎龄儿,神经认知缺陷,6岁儿童肥胖,22岁成人肥胖)的12种不良结局之间的关联。为了研究这种关联,将开发一种评估总GWG的创新方法,该方法消除了现有测量与妊娠长度相关性的偏倚。该项目还将研究产妇GWG轨迹和不良围产期结局之间的关系。一种新的生长曲线分析方法将用于确定GWG的时间,数量和速度对不良妊娠和分娩结局的独立贡献。这些目标的成功实现将填补与最佳孕产妇和儿童健康相关的体重增加范围和模式知识方面的重大空白。使用创新的方法,结合同时研究多种不良结局的能力,将促进我们对GWG的理解,为未来的循证指南提供信息。我们使用两个不同的队列将增加我们研究的普遍性和影响医疗实践和公共卫生政策的潜力。
英文摘要
DESCRIPTION (provided by investigator): Gestational weight gain (GWG) is a potentially modifiable risk factor for a number of important maternal and infant health outcomes. In 2009, the Institute of Medicine (IOM) Committee to Reevaluate Gestational Weight Gain Guidelines published resubmitted weight-gain recommendations. However, the resubmitted guidelines were established without a clear understanding of their impact on a number of important outcomes such as stillbirth, infant death, child neurocognitive status, preeclampsia, and long-term maternal and offspring obesity. Further, the IOM committee highlighted the importance of assessing pattern and timing of GWG in addition to total GWG. This application directly responds to those research needs by examining the influence of total GWG and pattern of GWG on a broad range of short- and long-term maternal and offspring outcomes. Our study design will employ existing electronic records from two retrospective cohorts (124,590 singleton births at Magee-Women's Hospital in Pittsburgh, Pennsylvania and 36,384 singleton births at Alta Bates Summit Medical Center in Berkeley, California), as well as data from a prospective cohort of 471 mother-child dyads born at Magee-Women's Hospital and followed for 22 years. This project seeks to determine the association between total GWG and 12 adverse outcomes for mothers (gestational diabetes, preeclampsia, and maternal postpartum body mass index change at 22 years postpartum) and offspring (stillbirth, infant mortality, spontaneous preterm birth, small- and large-for-gestational-age births, neurocognitive deficits, child obesity at age 6 adult obesity at age 22). To study this association, an innovative method to assess total GWG will be developed that removes the bias in the existing measures' correlation with gestational length. This project will also examine the relationship between maternal GWG trajectory and adverse perinatal outcomes. A novel growth curve analysis method will be used to determine the independent contribution of timing, amount, and velocity of GWG to poor pregnancy and birth outcomes. The successful completion of these aims will fill major gaps in knowledge about the weight gain ranges and patterns associated with optimal maternal and child health. The use of innovative methodology combined with the ability to study multiple adverse outcomes simultaneously will advance our understanding of GWG in an effort to inform future evidence-based guidelines. Our use of two diverse cohorts will increase our study's generalizability and potential to impact medical practice and public health policy.
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海外基金