A novel model of obesity prediction: Neurobehaviors as targets for treatment.
A novel model of obesity prediction: Neurobehaviors as targets for treatment.
复制标题
肥胖预测的新模型：神经行为作为治疗目标
DOI：
10.1037/bne0000385
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发表时间：
2021-06
影响因子：
1.9
通讯作者：
Bickel, Warren K.
中科院分区：
文献类型：
--
作者：
Satyal, Medha K.;Basso, Julia C.;Tegge, Allison N.;Metpally, Anvitha R.;Bickel, Warren K.
关键词：
肥胖是一种正在上升的世界性流行病，世界人口的大约30%被归类为超重或肥胖。美国是肥胖率最高的国家之一，在世界上大多数国家，肥胖现在比营养不良更严重的健康问题。肥胖是一种慢性、复发性疾病，既可预防又可治疗;然而，以少吃多运动为目标的传统干预措施的成功率很低，特别是从长期来看。因此，确定预测肥胖的神经行为对于帮助确定降低BMI和改善肥胖结果的目标非常重要。使用竞争性神经行为决策系统（CNDS）理论，我们假设肥胖个体与非肥胖个体相比，将显示以过度活跃的冲动系统和低活性的执行系统为标志的神经行为。为了验证这一假设，我们通过Amazon Mechanical Turk从一系列自我报告的测量和神经认知评估中收集了n = 178名肥胖（BMI ≥ 30）和n = 198名非肥胖对照组的数据，这些对照组在过去3个月内体重稳定。我们发现，与非肥胖对照组相比，肥胖个体表现出延迟折扣（CNDS失衡的标志），动机受损，自我形象差，情感状态下降，执行功能受损。使用贝叶斯网络方法，我们建立了一个神经行为模型，预测肥胖的准确率为64.4%，并表明冲动和执行神经系统之间的不平衡。我们的研究结果表明，针对神经行为的干预措施可能是帮助改善肥胖结果的不可或缺的因素。
Obesity is a worldwide epidemic that is on the rise, with approximately 30% of the world population classified as either overweight or obese. The United States has some of the highest rates of obesity, and in most countries in the world, obesity now poses more of a serious health concern than malnutrition. Obesity is a chronic, relapsing disorder that is both preventable and treatable; however, traditional interventions that target eating less and exercising more have low success rates, especially in the long term. Therefore, identifying the neurobehaviors that predict obesity is important to help identify targets to decrease BMI and improve obesity outcomes. Using the Competing Neurobehavioral Decisions System (CNDS) Theory, we hypothesized that individuals with obesity compared to individuals without obesity would display neurobehaviors marked by a hyperactive impulsive system and a hypoactive executive system. To test this hypothesis, we collected data from a battery of self-reported measures and neurocognitive assessments through Amazon Mechanical Turk from n = 178 obese (BMI ≥ 30) and n = 198 non-obese controls who were weight stable for the past 3 months. We found that compared to the non-obese control group, individuals with obesity showed heightened delay discounting (a marker of CNDS imbalance), impaired motivation, poor self-image, decreased affective state, and impaired executive function. Using a Bayesian network approach, we established a neurobehavioral model that predicts obesity with 64.4% accuracy and indicates an imbalance between impulsive and executive neural systems. Results from our study suggest that interventions targeting neurobehaviors may be integral to help improve obesity outcomes.
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影响因子：
13.5
作者：
Bickel, Warren K.;Jarmolowicz, David P.;Mueller, E. Terry;Koffarnus, Mikhail N.;Gatchalian, Kirstin M.
通讯作者：
Gatchalian, Kirstin M.
影响因子：
3.2
作者：
Bielza C;Larrañaga P
通讯作者：
Larrañaga P
DOI：
10.1016/j.pbb.2017.09.009
发表时间：
2018-01
期刊：
Pharmacology, biochemistry, and behavior
影响因子：
--
作者：
Bickel WK;Mellis AM;Snider SE;Athamneh LN;Stein JS;Pope DA
通讯作者：
Pope DA
影响因子：
3
作者：
Alosco, Michael L.;Galioto, Rachel;Spitznagel, Mary Beth;Strain, Gladys;Devlin, Michael;Cohen, Ronald;Crosby, Ross D.;Mitchell, James E.;Gunstad, John
通讯作者：
Gunstad, John
影响因子：
4.9
作者：
Cappelleri, J. C.;Bushmakin, A. G.;Lowe, M. R.
通讯作者：
Lowe, M. R.