Phenotyping obesity using behavioral, psychological, physiological, familial, and genetic data
使用行为、心理、生理、家族和遗传数据对肥胖进行表型分析
基本信息
- 批准号:10379362
- 负责人:
- 金额:$ 62.52万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-04-01 至 2025-01-31
- 项目状态:未结题
- 来源:
- 关键词:AdolescenceAdolescentAdolescent and Young AdultAdultAgeAppetitive BehaviorBehavioralBinge EatingBody Weight ChangesBody fatBody mass indexChildChildhoodClassificationClinical TrialsDataDesire for foodDevelopmentDiabetes MellitusDiseaseEatingEating BehaviorEating DisordersEnvironmental Risk FactorEpidemiologyFamilyFamily history ofFatty acid glycerol estersGenesGeneticGrowthHealthHeterogeneityHigh Density LipoproteinsHungerHypertensionMeasuresMorbid ObesityNational Institute of Child Health and Human DevelopmentNon-Insulin-Dependent Diabetes MellitusObesityObservational StudyOverweightPatternPhenotypePhysiologicalPredictive FactorPrevalencePreventionProspective StudiesRaceResearchRisk FactorsSubgroupUnited StatesWeightWeight GainYouthbariatric surgerybasebiological sexearly onsetemotional eatinggenetic epidemiologygenomic locusgirlshigh riskloss of control over eatingobesity in childrenobesity preventionperson centeredpolygenic risk scorepsychologicracial disparitysexwaist circumferenceyoung adult
项目摘要
ABSTRACT
Obesity remains highly prevalent among adolescents and young adults in the United States and
relatively few youth with overweight or obesity are able to lose weight and maintain the loss, thus
making prevention of paramount importance. Although a range of genetic loci and behavioral and
environmental factors predictive of weight change and obesity have been identified in prospective
studies, their associations with weight gain and obesity have been modest in magnitude. Moreover,
the numerous clinical trials aimed at prevention of obesity in children and adolescents have yielded
modest effects. One possible reason for the lack of observing large effects in observational studies or
clinical trials is that all types of overweight and obesity are often grouped together. One potential
consequence of overlooking the heterogeneity in obesity is missing or underestimating risk factors for
specific subtypes of obesity. An alternative strategy is to identify subtypes and examine subtype-
specific associations. More careful phenotyping of obesity could potentially be used to advance the
field of obesity epidemiology and treatment. Research is needed to identify the range of obesity
phenotypes and whether there are differences in obesity subtypes by biological sex and race. We
propose using appetitive behaviors, psychological, behavioral, anthropometric, physiological, genetic,
and familial data, in a person-centered approach to empirically identify subtypes of obesity and to
investigate whether the subtypes vary by biological sex or race. We will use data collected from the
2379 girls in National Growth and Health Study, 1421 children (48% with obesity and 17% with
overweight) studied in the Section on Growth and Obesity at the Eunice Shriver Kennedy National
Institute of Child Health and Human Development (NICHD), and the 16,850 youth in the Growing Up
Today Study (14.9% with obesity and 29% with overweight). We will use latent class analysis to
identify subgroups of obesity and then examine whether the empirically-derived phenotypes are
predictive of weight change in adolescence and young adulthood, the development of hypertension
before age 35, or have a differential pattern of association with the obesity loci. In addition, we will
examine whether the phenotypes vary by biological sex or race and whether the associations of
phenotypes with weight change in adolescence and young adulthood and the development of
hypertension before age 35, vary by biological sex or race. The results of our proposed study could
have a major impact on the field. The first step towards decreasing disparities by race and sex is to
examine if there are differences in presentation and course of a disorder. Our study will provide that
much needed information, which could result in tailored and more effective prevention and treatments.
摘要
肥胖症在美国的青少年和年轻人中仍然非常普遍,
相对而言,很少有超重或肥胖的年轻人能够减肥并保持减肥效果,
把预防放在首位。虽然一系列的遗传位点和行为,
预测体重变化和肥胖的环境因素已经在前瞻性研究中确定,
研究表明,它们与体重增加和肥胖的关系在数量上是适度的。此外,委员会认为,
许多旨在预防儿童和青少年肥胖的临床试验已经产生了
适度的影响。在观察性研究中缺乏观察到大效应的一个可能原因,
临床试验表明,所有类型的超重和肥胖通常被归为一类。一个潜在
忽视肥胖异质性的后果是遗漏或低估了肥胖的风险因素。
肥胖症的特殊亚型。另一种策略是识别亚型并检查亚型-
特定的关联。更仔细的肥胖表型分析可能会被用来促进肥胖的发生。
肥胖流行病学和治疗领域。需要研究来确定肥胖的范围
表型以及肥胖亚型是否存在生物性别和种族差异。我们
建议使用食欲行为,心理的,行为的,人体测量的,生理的,遗传的,
和家族数据,以人为中心的方法,以经验确定肥胖亚型,
调查亚型是否因生物性别或种族而异。我们将使用从
2379名女孩参加了国家生长与健康研究,1421名儿童(48%患有肥胖症,17%患有
Eunice Shriver Kennedy National的生长和肥胖部分研究了超重)
儿童健康和人类发展研究所(NICHD)和16,850名青少年在成长过程中
今天的研究(14.9%肥胖和29%超重)。我们将使用潜在类分析,
确定肥胖的亚组,然后检查是否有来自生殖器的表型,
预测青春期和青年期的体重变化,高血压的发展
在35岁之前,或者与肥胖基因座具有不同的关联模式。此外,我们会
检查表型是否因生物性别或种族而异,以及
表型与青春期和青年期的体重变化以及
35岁之前高血压,因生物性别或种族而异。我们提出的研究结果可以
对这个领域有重大影响。减少种族和性别差异的第一步是
检查是否有不同的表现和过程中的障碍。我们的研究将提供,
这些信息可以导致有针对性的和更有效的预防和治疗。
项目成果
期刊论文数量(0)
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Alison E Field其他文献
Alison E Field的其他文献
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{{ truncateString('Alison E Field', 18)}}的其他基金
Food and Beverage Patterns that Predict Weight Gain Among Adolescents
预测青少年体重增加的饮食模式
- 批准号:
7881112 - 财政年份:2010
- 资助金额:
$ 62.52万 - 项目类别:
Food and Beverage Patterns that Predict Weight Gain Among Adolescents
预测青少年体重增加的饮食模式
- 批准号:
8465873 - 财政年份:2010
- 资助金额:
$ 62.52万 - 项目类别:
Food and Beverage Patterns that Predict Weight Gain Among Adolescents
预测青少年体重增加的饮食模式
- 批准号:
8061952 - 财政年份:2010
- 资助金额:
$ 62.52万 - 项目类别:
Food and Beverage Patterns that Predict Weight Gain Among Adolescents
预测青少年体重增加的饮食模式
- 批准号:
8272638 - 财政年份:2010
- 资助金额:
$ 62.52万 - 项目类别:
Empirical eating disorder classification and validation using prospective studies
使用前瞻性研究进行经验性饮食失调分类和验证
- 批准号:
8601631 - 财政年份:2009
- 资助金额:
$ 62.52万 - 项目类别:
Empirical eating disorder classification and validation using prospective studies
使用前瞻性研究进行经验性饮食失调分类和验证
- 批准号:
7764418 - 财政年份:2009
- 资助金额:
$ 62.52万 - 项目类别:
Empirical eating disorder classification and validation using prospective studies
使用前瞻性研究进行经验性饮食失调分类和验证
- 批准号:
7999250 - 财政年份:2009
- 资助金额:
$ 62.52万 - 项目类别:
Empirical eating disorder classification and validation using prospective studies
使用前瞻性研究进行经验性饮食失调分类和验证
- 批准号:
8197541 - 财政年份:2009
- 资助金额:
$ 62.52万 - 项目类别:
Empirical eating disorder classification and validation using prospective studies
使用前瞻性研究进行经验性饮食失调分类和验证
- 批准号:
8368073 - 财政年份:2009
- 资助金额:
$ 62.52万 - 项目类别:
Empirical eating disorder classification and validation using prospective studies
使用前瞻性研究进行经验性饮食失调分类和验证
- 批准号:
9231730 - 财政年份:2009
- 资助金额:
$ 62.52万 - 项目类别:
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