Dietary Patterns / Dietary Quality and Risk of RA in Women
女性饮食模式/饮食质量和 RA 风险
基本信息
- 批准号:8712121
- 负责人:
- 金额:$ 41.2万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-08-17 至 2016-11-30
- 项目状态:已结题
- 来源:
- 关键词:AccountingAddressAdultAffectAll-Trans-RetinolAntioxidantsArthritisAutoimmune DiseasesBiochemicalCaroteneCerealsChronicCluster AnalysisCoffeeCohort StudiesConsumptionDataDevelopmentDietDietary PracticesDiseaseEatingEnvironmentEnvironmental EpidemiologyEnvironmental Risk FactorEpidemiologic StudiesEtiologyExogenous Hormone TherapyFactor AnalysisFatty acid glycerol estersFemaleFishesFoodFrequenciesGenesGeneticGoalsIndividualIntakeInterleukin-6InvestigationLuteinMeasurementMeatMediterranean DietModificationNursesNurses&apos Health StudyNutrientOlive oil preparationPathway interactionsPlasmaPopulationPredispositionPrevalencePreventionProspective StudiesPublic HealthPublishingQuestionnairesRecommendationReproductive HistoryRheumatismRheumatoid ArthritisRheumatoid FactorRiskRisk FactorsSample SizeSerologicalStatistical ModelsTNFR-Fc fusion proteinTimeTocopherolsUnited StatesVegetablesVitamin DWomanbasecase controlcigarette smokingcohortcookingcostcryptoxanthincyclic citrullinated peptidedesigndisorder riskepidemiology studyfollow-upfood consumptiongenetic epidemiologygenetic risk factorgood dietindexinginflammatory markerlycopenemennovelnovel strategiesnutritional epidemiologyprospectiveprotective effectpublic health relevancerisk variantzeaxanthin
项目摘要
DESCRIPTION (provided by applicant): The etiology of rheumatoid arthritis (RA), remains incompletely understood. It is considered to be a multifactorial disease, resulting from the interaction of both genetic and environmental factors. Epidemiologic research has produced convincing data for associations between environmental risk factors, including cigarette smoking, exogenous hormone use and female reproductive factors and RA susceptibility. Dietary studies suggest that high intake of certain antioxidants, fish, olive oil and cooked vegetables confer a protective effect against the development of RA, whereas red meat, fat, dairy and cereals may increase the risk of RA, although evidence for dietary etiology is inconclusive. However, the effect of individual food groups and nutrients may be too small to detect with limited sample sizes in previous studies. Overall dietary pattern and dietary quality analysis examines the cumulative effects of multiple nutrients, and may thus be more predictive of disease risk than individual foods or nutrients. To date, no studies have assessed the association between overall dietary patterns / dietary quality and RA risk, especially in the setting of a well-controlled large prospective cohort study. The goal of the proposed investigation is to address whether overall dietary patterns / dietary quality are associated with risk of RA in women using data from the largest rheumatic disease environmental epidemiology study in the world, the two Nurses' Health Study Cohorts (NHS I and NHS II). We will also examine the causal pathways between dietary patterns / dietary quality, biochemical measurements including plasma antioxidants and markers of inflammation, and risk of developing RA in a matched case-control subsample nested in NHS I and II cohorts. In addition, we will investigate possible interactions between dietary patterns / dietary quality and genetic factors in RA susceptibility. With recent advances in genetic epidemiology and high throughput genotying, the study of gene-diet interactions has become an exciting direction in the field of nutritional epidemiology. Overall, the large size of these cohorts, the prospective design, the repeated and detailed measurements of diet and covariates, the high follow-up rates, and the availability of biochemical measurements provide a unique opportunity to study the relationship between overall dietary patterns /dietary quality and risk of RA in an extremely cost-efficient manner. We believe that this project presents a novel approach to study diet-RA relationships and will have important public health implications.
描述(由申请人提供):类风湿性关节炎(RA)的病因仍不完全清楚。它被认为是一种多因素疾病,由遗传和环境因素的相互作用引起。流行病学研究已经产生了令人信服的数据,包括吸烟,外源性激素的使用和女性生殖因素和RA易感性之间的关联。饮食研究表明,高摄入某些抗氧化剂,鱼,橄榄油和煮熟的蔬菜对RA的发展具有保护作用,而红肉,脂肪,乳制品和谷物可能会增加RA的风险,尽管饮食病因的证据尚不确定。然而,个别食物类别和营养素的影响可能太小,无法在以前的研究中以有限的样本量进行检测。整体饮食模式和饮食质量分析检查多种营养素的累积效应,因此可能比个别食物或营养素更能预测疾病风险。到目前为止,还没有研究评估整体饮食模式/饮食质量与RA风险之间的关系,特别是在对照良好的大型前瞻性队列研究中。拟议调查的目标是使用世界上最大的风湿性疾病环境流行病学研究(两个护士健康研究队列(NHS I和NHS II))的数据,解决总体饮食模式/饮食质量是否与女性RA风险相关。我们还将在NHS I和II队列嵌套的匹配病例对照子样本中研究饮食模式/饮食质量、生化测量(包括血浆抗氧化剂和炎症标志物)与发生RA的风险之间的因果关系。此外,我们还将研究饮食模式/饮食质量与RA易感性遗传因素之间可能的相互作用。随着遗传流行病学和高通量基因组学的最新进展,基因-饮食相互作用的研究已成为营养流行病学领域的一个令人兴奋的方向。总体而言,这些队列的大规模,前瞻性设计,饮食和协变量的重复和详细测量,高随访率以及生化测量的可用性,为以极具成本效益的方式研究整体饮食模式/饮食质量与RA风险之间的关系提供了独特的机会。我们相信,该项目提出了一种新的方法来研究饮食与RA的关系,并将有重要的公共卫生意义。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Bing Lu其他文献
Bing Lu的其他文献
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{{ truncateString('Bing Lu', 18)}}的其他基金
Metabolites of Dietary Intake and Risk of Knee Osteoarthritis
膳食摄入代谢物与膝骨关节炎的风险
- 批准号:
10671254 - 财政年份:2019
- 资助金额:
$ 41.2万 - 项目类别:
Metabolites of Dietary Intake and Risk of Knee Osteoarthritis
膳食摄入代谢物与膝骨关节炎的风险
- 批准号:
10180902 - 财政年份:2019
- 资助金额:
$ 41.2万 - 项目类别:
Metabolites of Dietary Intake and Risk of Knee Osteoarthritis
膳食摄入代谢物与膝骨关节炎的风险
- 批准号:
9815151 - 财政年份:2019
- 资助金额:
$ 41.2万 - 项目类别:
Metabolites of Dietary Intake and Risk of Knee Osteoarthritis
膳食摄入代谢物与膝骨关节炎的风险
- 批准号:
9973152 - 财政年份:2019
- 资助金额:
$ 41.2万 - 项目类别:
Dietary Quality, Body Adiposity, and Risk of Rheumatoid Arthritis in Women
女性的饮食质量、身体肥胖和类风湿关节炎的风险
- 批准号:
9893820 - 财政年份:2018
- 资助金额:
$ 41.2万 - 项目类别:
Dietary Patterns / Dietary Quality and Risk of RA in Women
女性饮食模式/饮食质量和 RA 风险
- 批准号:
8531860 - 财政年份:2012
- 资助金额:
$ 41.2万 - 项目类别:
Dietary Patterns / Dietary Quality and Risk of RA in Women
女性饮食模式/饮食质量和 RA 风险
- 批准号:
8244617 - 财政年份:2012
- 资助金额:
$ 41.2万 - 项目类别:
Alcohol Consumption and Risk of Rheumatoid Arthritis in Women
女性饮酒与类风湿关节炎的风险
- 批准号:
8151067 - 财政年份:2010
- 资助金额:
$ 41.2万 - 项目类别:
Alcohol Consumption and Risk of Rheumatoid Arthritis in Women
女性饮酒与类风湿关节炎的风险
- 批准号:
8028747 - 财政年份:2010
- 资助金额:
$ 41.2万 - 项目类别:
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