Obesity and Longevity Across Generations
肥胖与几代人的长寿
基本信息
- 批准号:10177831
- 负责人:
- 金额:$ 27.65万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-09-01 至 2023-05-31
- 项目状态:已结题
- 来源:
- 关键词:AdultAffectAgingAnimal ModelBehavioralBiologyBirth WeightBody mass indexCharacteristicsCollectionComplexData SetDevelopmentDiabetes MellitusElderlyEnvironmentEnvironmental Risk FactorEpidemiologyExperimental ModelsFamilyFutureFuture GenerationsGenerationsGenetic Predisposition to DiseaseGenomeHealthHeart DiseasesHumanIndividualInterventionLeadLifeLife ExpectancyLongevityLow Birth Weight InfantModelingMultiple Birth OffspringObesityOutcomePersonsPhenotypePhysiologicalPopulationPopulation trendsPositioning AttributePredispositionPrevalencePrevention strategyPublic HealthPublic PolicyResearch PersonnelRiskSocietiesSociologyStigmatizationTestingTimeWeightWorkcohortcritical perioddevelopmental plasticitydeviantintergenerationallife historymortalitymultiple datasetsobesity riskoffspringoffspring obesitypopulation healthpreventive interventionreproductiverisk variantsocialsocial stigmasociodemographicssociologiststemtheories
项目摘要
Are changing distributions of parental and early life factors altering the relation between obesity and longevity?
Will the increasing prevalence of obesity in the US reverse recent gains in US life expectancy? What makes
some individuals more susceptible to the life-shortening effects of obesity than others? Answering these
questions requires a better understanding of the complex relations between obesity and longevity; in particular,
the potential for the early environment and related developmental factors to exert powerful modifying effects on
the association between obesity and longevity.
We test four interrelated hypotheses about how demographic changes in the distribution of body mass index
(BMI) may affect the current generation's lifespan and modify obesity's effect on lifespan in subsequent
generations. These hypotheses are built on findings from experimental model organisms and human
epidemiology, theories of life histories and developmental plasticity from evolutionary biology, and sociologic
frameworks for understanding both intergenerational change and the health consequences of obesity's stigma.
Relying on a large, rich, and complementary collection of secondary datasets, we will complete the following
aims: Aim 1 - Test the hypothesis that relative BMI position in one's generational or cohort BMI distribution
predicts longevity above and beyond one's absolute BMI. Aim 2 - Test the hypotheses that each of several
factors related to offspring development and BMI—parental BMI, offspring genome risk score for obesity
(BMIGP), and family common environment risk for obesity, exert transgenerational effects and predict (and
hence plausibly influence) offspring mortality rate independent of offspring BMI. Aim 3 - Test the hypotheses
that a “mismatch” between an offspring's physiological predisposition for a given level of obesity and actual
offspring obesity will be, all else being equal, associated with decreased longevity. This hypothesis draws on
the idea of adaptive developmental plasticity, in which individuals may be physiologically `calibrated' during
early development to achieve best function and longevity for a phenotype in later life that would be predicted
by their environmental and genetic predisposition during early development. Aim 4 - Estimate the extent to
which adjusting for changes in the distributions of parental BMI, offspring birth weight, and offspring BMIGP
accounts for secular changes in the BMI-longevity relation that have occurred in the last half century.
An interdisciplinary team of statisticians, aging researchers, obesity researchers, sociologists, geneticists, and
evolutionary and reproductive biologists has been carefully assembled for this work. Understanding how and
why obesity is associated with reduced longevity and who is most vulnerable to its health risks is vital to
informing public policies and anticipating population health needs. Further, identifying early life characteristics
and environmental conditions which exacerbate obesity's effects on health and longevity is vital to identifying
critical periods and populations where biomedical or behavioral preventive interventions can be most effective.
父母和早期生活因素分布的变化是否会改变肥胖与长寿之间的关系?
美国日益增长的肥胖率是否会逆转美国预期寿命的近期增长?
有些人比其他人更容易受到肥胖缩短寿命的影响?
问题需要更好地理解肥胖与长寿之间的复杂关系;
早期环境和相关发展因素对孩子发挥强大改变作用的潜力
肥胖与长寿之间的关系。
我们测试了关于体重指数分布的人口变化如何的四个相互关联的假设
(BMI)可能会影响当前一代人的寿命,并改变肥胖对后代寿命的影响
这些假设建立在实验模型生物和人类的发现之上
流行病学、进化生物学的生命史理论和发育可塑性以及社会学
理解代际变化和肥胖耻辱对健康影响的框架。
依托大量、丰富、互补的二级数据集,我们将完成以下工作
目标: 目标 1 - 检验以下假设:BMI 在一代人或队列 BMI 分布中的相对位置
预测寿命高于或超过绝对体重指数 目标 2 - 检验几个假设。
与后代发育和BMI相关的因素——父母BMI、后代肥胖基因组风险评分
(BMIGP)和家庭常见的肥胖环境风险,发挥跨代效应并预测(和
因此可能影响)后代死亡率,与后代 BMI 无关 目标 3 - 检验假设。
后代对给定肥胖水平的生理倾向与实际情况之间存在“不匹配”
在其他条件相同的情况下,后代肥胖与寿命缩短有关。
适应性发展可塑性的想法,其中个体可以在生理上“校准”
早期发育以实现预期的晚年表型的最佳功能和寿命
目标 4 - 估计其在早期发育过程中的环境和遗传倾向。
根据父母 BMI、后代出生体重和后代 BMIGP 分布的变化进行调整
解释了过去半个世纪发生的体重指数与寿命关系的长期变化。
由统计学家、老龄化研究人员、肥胖研究人员、社会学家、遗传学家和
进化生物学家和生殖生物学家已经为这项工作精心召集起来,了解如何以及如何进行。
为什么肥胖与寿命缩短以及谁最容易受到肥胖的健康风险至关重要
为公共政策提供信息并预测人口健康需求。此外,确定早期生命特征。
加剧肥胖对健康和寿命影响的环境条件对于识别肥胖至关重要
生物医学或行为预防干预措施最有效的关键时期和人群。
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)
The associations between relative and absolute body mass index with mortality rate based on predictions from stigma theory.
基于耻辱理论的预测,相对和绝对体重指数与死亡率之间的关联。
- DOI:
- 发表时间:2022-09
- 期刊:
- 影响因子:0
- 作者:Pavela, Gregory;Yi, Nengjun;Mestre, Luis;Lartey, Stella;Xun, Pengcheng;Allison, David B
- 通讯作者:Allison, David B
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DAVID B ALLISON其他文献
DAVID B ALLISON的其他文献
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{{ truncateString('DAVID B ALLISON', 18)}}的其他基金
Strengthening Causal Inference in Behavioral Obesity Research
加强行为肥胖研究中的因果推断
- 批准号:
9651880 - 财政年份:2018
- 资助金额:
$ 27.65万 - 项目类别:
Strengthening Causal Inference in Behavioral Obesity Research
加强行为肥胖研究中的因果推断
- 批准号:
9764709 - 财政年份:2018
- 资助金额:
$ 27.65万 - 项目类别:
Beyond textbook, yet simple, statistical tools for reproducible animal research
超越教科书的简单统计工具,用于可重复的动物研究
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9142329 - 财政年份:2015
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$ 27.65万 - 项目类别:
Strengthening Causal Inference in Behavioral Obesity Research
加强行为肥胖研究中的因果推断
- 批准号:
8769557 - 财政年份:2014
- 资助金额:
$ 27.65万 - 项目类别:
Strengthening Causal Inference in Behavioral Obesity Research
加强行为肥胖研究中的因果推断
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10653986 - 财政年份:2014
- 资助金额:
$ 27.65万 - 项目类别:
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