Appetitive traits from infancy to adolescence: using behavioral and neural measures to investigate obesity risk.

Appetitive traits from infancy to adolescence: using behavioral and neural measures to investigate obesity risk.
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DOI:
10.1016/j.physbeh.2013.02.015
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发表时间:
2013-09-10
影响因子:
2.9
通讯作者:
Driggin E
Driggin E
中科院分区:
医学3区
文献类型:
--
作者:
Carnell S;Benson L;Pryor K;Driggin E

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我们带着对食物的持久倾向来到这个世界,这些倾向与环境因素相互作用,影响我们的饮食行为和体重轨迹。但我们的命运并不是注定的--通过更多地了解这一过程,我们可以找到干预的方法。为了推进这一目标,我们需要能够评估不同发育阶段的食欲特征,如食物提示反应和饱腹感敏感性。评估方法可能包括行为测量(例如饮食行为测试、心理测量问卷),还包括生物标志物,例如使用fMRI测量的大脑对食物线索的反应。来自婴儿、儿童和青少年的证据表明,这些食欲指数不仅与体重不同,而且与由父母体重评估的家族性肥胖风险不同,这反映了遗传和环境的影响,并可能提供肥胖发展的有用预测因子。行为和神经方法有很大的潜力相互告知:检查饮食行为可以帮助我们识别有意义的食欲内表型,其神经基础可以探索,而增加对食欲,肥胖和相关行为和疾病的共同神经生物学的了解可能最终导致创新的普遍干预。另一个挑战将是在长期前瞻性研究中将食欲特征的综合行为和神经评估与相关遗传和环境因素的测量相结合。这种方法可能有助于识别肥胖的生物行为前兆,并为有针对性的神经行为干预奠定基础,这些干预可以中断超重的途径。
We come into the world with enduring predispositions towards food, which interact with environmental factors to influence our eating behaviors and weight trajectories. But our fates are not sealed – by learning more about this process we can identify ways to intervene. To advance this goal this we need to be able to assess appetitive traits such as food cue responsiveness and satiety sensitivity at different developmental stages. Assessment methods might include behavioral measures (e.g. eating behavior tests, psychometric questionnaires), but also biomarkers such as brain responses to food cues measured using fMRI. Evidence from infants, children and adolescents suggests that these indices of appetite differ not only with body weight, but also with familial obesity risk as assessed by parent weight, which reflects both genetic and environmental influences, and may provide a useful predictor of obesity development. Behavioral and neural approaches have great potential to inform each other: examining eating behavior can help us identify meaningful appetitive endophenotypes whose neural bases can be probed, while increasing knowledge of the shared neurobiology underlying appetite, obesity, and related behaviors and disorders may ultimately lead to innovative generalized interventions. Another challenge will be to combine comprehensive behavioral and neural assessments of appetitive traits with measures of relevant genetic and environmental factors within long-term prospective studies. This approach may help to identify the biobehavioral precursors of obesity, and lay the foundations for targeted neurobehavioral interventions that can interrupt the pathway to excess weight.
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