限制性饮食的理论基础和神经机制
The Theoretical Basis and Neural Mechanism of Restrained Eating
DOI: 10.12677/AP.2018.83048, PDF,  被引量   
作者: 张一箫 :西南大学心理学部,重庆
关键词: 限制性饮食理论基础神经机制Restrained Eating Theoretical Basis Neural Mechanism
摘要: 限制性饮食是指个体以维持或降低体重为目标,长期进行进食控制的倾向。然而,众多研究指出限制性饮食并非维持体重的有效手段,绝大多数的人都以节食失败告终,研究结果表明失败的限制性饮食者与大脑奖赏和抑制控制相关脑区的功能、结构变化有关。本文在回顾以往研究的基础上,系统梳理了限制性饮食的主要理论基础和认知神经机制。同时,总结了以往研究的局限性并阐述了未来研究的方向,指出其可以从成功抑制食物诱惑角度出发,尝试为限制性饮食者建立正常饮食行为提供可行方案,并采取纵向追踪的方式,将限制性饮食者的肥胖发展看成一个动态的模式进行研究。
Abstract: Restrained Eating refers to the sustained restriction of food intake for the purposes of weight-loss or weight-maintenance. However, restrained eating does not seem an effective way of maintaining weight, and most people end in failure. The results showed that unsuccessful restrained eaters can be reflected in the brain structure and function referring to reward and inhibition control. On the basis of reviewing previous studies, this paper systematically reviews the main theoretical basis and cognitive neural mechanism of restrained eating. At the same time, the limitations of previous studies are summarized, and the future research direction is expounded. From the point of successful inhibition of food temptation, future research may provide feasible solutions for establishing normal dietary behaviors for restrained eaters, and take a longitudinal approach to study obesity development as a dynamic model.
文章引用:张一箫 (2018). 限制性饮食的理论基础和神经机制. 心理学进展, 8(3), 386-392. https://doi.org/10.12677/AP.2018.83048

参考文献

[1] 陈红, Todd, Jackson, 高笑(2015). 中国人身体自我及饮食行为研究: 十年回顾. 心理与行为研究, 13(5), 706-712.
[2] 孔繁昌, 张妍, 陈红, 石明丽, Jackson, Todd, 高笑(2011). 限制性饮食者对食物线索的认知偏向: 行为和脑机制的证据. 心理科学进展, 19(9), 1355-1362.
[3] 孔繁昌(2012). 限制性饮食者对食物线索注意偏向的神经机制. 博士论文, 重庆市: 西南大学.
[4] 周一舟, 陈红, 高笑(2012). 限制性饮食的神经机制. 中国临床心理学杂志, 20(5), 642-645.
[5] Burger, K. S., & Stice, E. (2011). Relation of Dietary Restraint Scores to Activation of Reward-Related Brain Regions in Response to Food Intake, Anticipated Intake, and Food Pictures. Neuroimage, 55, 233-239.[CrossRef] [PubMed]
[6] Chen, S. Y., Dong, D., Jackson, T., Su, Y. H., & Chen, H. (2016). Altered Frontal Inter-Hemispheric Resting State Functional Connectivity Is Associated with Bulimic Symptoms among Restrained Eaters. Neuropsychologia, 81, 22-30.[CrossRef] [PubMed]
[7] Coletta, M., Platek, S., Mohamed, F. B., Van Steenburgh, J. J., Green, D., & Lowe, M. R. (2009). Brain Activation in Restrained and Unrestrained Eaters: An fMRI Study. Journal of Abnormal Psychology, 118, 598.[CrossRef] [PubMed]
[8] Dong, D., Lei, X., Jackson, T, Wang, Y., Su, Y., & Chen, H. (2014). Altered Regional Homogeneity and Efficient Response Inhibition in Restrained Eaters. Neuroscience, 266, 116-126.[CrossRef] [PubMed]
[9] Dong, D., Wang, Y. L., Jackson, T., Chen, S. Y., Wang, Y., Zhou, F., & Chen, H. (2016). Impulse Control and Restrained Eating among Young Women: Evidence for Compensatory Cortical Activation during a Chocolate-Specific Delayed Discounting Task. Appetite, 105, 477-486.[CrossRef] [PubMed]
[10] Gusnard, D. A., Raichle, M. E., & Raichle, M. E. (2001). Searching for a Baseline: Functional Imaging and the Resting Human Brain. Nature Reviews Neuroscience, 2, 685.[CrossRef] [PubMed]
[11] Heatherton, T. F., Herman, C. P., Polivy, J., King, G. A., & Mcgree, S. T. (1988). The (mis)Measurement of Restraint: An Analysis of Conceptual and Psychometric Issues. Journal of Abnormal Psychology, 97, 19.[CrossRef
[12] Herman, C. P., & Mack, D. (1975). Restrained and Unrestrained Eating. Journal of Personality, 43, 647-660.[CrossRef] [PubMed]
[13] Hofmann, W., Friese, M., & Strack, F. (2009). Impulse and Self-Control from a Dual-Systems Perspective. Perspectives on Psychological Science A Journal of the Association for Psychological Science, 4, 162-176.[CrossRef] [PubMed]
[14] Hollitt, S., Kemps, E., Tiggemann, M., Smeets, E., & Mills, J. S. (2010). Components of Attentional Bias for Food Cues among Restrained Eaters. Appetite, 54, 309-313.[CrossRef] [PubMed]
[15] Nederkoorn, C., Van Eijs, Y., & Jansen, A. (2004). Restrained Eaters Act on Impulse. Personality & Individual Differences, 37, 1651-1658.[CrossRef
[16] Neumark-Sztainer, D., Wall, M., Guo, J., Story, M., Haines, J., & Eisenberg, M. (2006). Obesity, Disordered Eating, and Eating Disorders in a Longitudinal Study of Adolescents: How Do Dieters Fare 5 Years Later? Journal of the American Dietetic Association, 106, 559-568.[CrossRef] [PubMed]
[17] Schur, E. A., Kleinhans, N. M., Goldberg, J., Buchwald, D. S., Polivy, J., Angelo Del, P., & Maravilla, K. R. (2012). Acquired Differences in Brain Responses among Monozygotic Twins Discordant for Restrained Eating. Physiology & Behavior, 105, 560-567.[CrossRef] [PubMed]
[18] Snoek, H. M., Van Strien, T., Janssens, J. M. A. M., & Engels, R. C. M. E. (2008). Restrained Eating and BMI: A Longitudinal Study among Adolescents. Health Psychology, 27, 753-759.[CrossRef] [PubMed]
[19] Stice, E., Cooper, J. A., Schoeller, D. A., Tappe, K., & Lowe, M. R. (2007). Are Dietary Restraint Scales Valid Measures of Moderate- to Long-Term Dietary Restriction? Objective Biological and Behavioral Data Suggest Not. Psychological Assessment, 19, 449-458.[CrossRef] [PubMed]
[20] Strack, F., & Deutsch, R. (2004). Reflective and Impulsive Determinants of Social Behavior. Personality and Social Psychology Review, 8, 220-247.[CrossRef] [PubMed]
[21] Stroebe, W., Van Koningsbruggen, G. M., Papies, E. K., & Aarts, H. (2013). Why Most Dieters Fail but Some Succeed: A Goal Conflict Model of Eating Behavior. Psychological Review, 120, 110-138.[CrossRef] [PubMed]
[22] Su, Y., Jackson, T., Wei, D., Qiu, J., & Chen, H. (2017). Regional Gray Matter Volume Is Associated with Restrained Eating in Healthy Chinese Young Adults: Evidence from Voxel-Based Morphometry. Frontiers in Psychology, 8, 443.[CrossRef] [PubMed]
[23] van der Laan, L. N., Charbonnier, L., Griffioen-Roose, S., Kroese, F. M., van Rijn, I., & Smeets, P. A. M. (2016). Supersize My Brain: A Cross-Sectional Voxel-Based Morphometry Study on the Association between Self-Reported Dietary Restraint and Regional Grey Matter Volumes. Biological Psychology, 117, 108-116.[CrossRef] [PubMed]
[24] van der Laan, L. N., de Ridder, D. T., Viergever, M. A., & Smeets, P. A. (2014). Activation in Inhibitory Brain Regions during Food Choice Correlates with Temptation Strength and Self-Regulatory Success in Weight-Concerned Women. Frontiers in Neuroscience, 8, 308.[CrossRef] [PubMed]
[25] van Strien, T., Herman, C. P., & Verheijden, M. W. (2014). Dietary Restraint and Body Mass Change. A 3-Year Follow Up Study in a Representative Dutch Sample. Appetite, 76, 44-49.[CrossRef] [PubMed]
[26] Wang, Y., Dong, D., Todd, J, Du, J., Yang, Z., Lu, H., & Chen, H. (2016). Neural Correlates of Restrained Eaters’ High Susceptibility to Food Cues: An fMRI Study. Neuroscience Letters, 631, 56-62.[CrossRef] [PubMed]
[27] Zhao, J., Li, M., Zhang, Y., Song, H., von Deneen, K. M., Shi, Y. et al. (2016). Intrinsic Brain Subsystem Associated with Dietary Restraint, Disinhibition and Hunger: An fMRI Study. Brain Imaging & Behavior, 11, 264-277.