中国人限制性饮食和食物渴求的认知神经机制

doi:10.3724/SP.J.1042.2021.00951

摘要/Abstract

摘要：

物质丰富的时代, 如何抵御美味食物线索带来的食物渴求, 并限制饮食从而保持健康成为人们关注的重要话题之一。近年来, 国内学者为了探讨节食成功的原因, 创建中国食物图片库, 考察限制性饮食的认知神经机制, 以及成功和失败限制性饮食者的脑机制差异; 开展了特质食物渴求及中国特色的辣食渴求的认知神经研究。对推进饮食行为研究的理论发展, 也为肥胖、饮食失调等健康干预工作提供重要支持。

关键词: 限制性饮食, 成功限制性饮食者, 失败限制性饮食者, 食物渴求, 辣食渴求

Abstract:

In modern affluent societies, where palatable foods are readily available, resisting the food craving brought by tempting food clues and keeping restrained eating to maintain a healthy body weight has become one of the challenging propositions. In recent years, in order to identify the reasons for the success of dieting, domestic scholars have created a Chinese Food Image Database to investigate the neuro-cognitive mechanism of restrained eating, and examine the differences of brain mechanism between successful and unsuccessful restrained eaters. In particular, based on the neural correlates of food craving, researches on general food craving and spicy food craving with Chinese characteristics has been carried out. Exploring the neuro-cognitive mechanisms of restrained eating and food craving can not only promote the theoretical developments of eating behavior research, but also provide important support for health interventions such as obesity and eating disorders.

Key words: restrained eating (RE), successful restrained eaters (SREs), unsuccessful restrained eaters (UREs), food craving, spicy craving

中图分类号:

B845

陈红, 刘馨元. (2021). 中国人限制性饮食和食物渴求的认知神经机制. 心理科学进展 , 29(6), 951-958.

CHEN Hong, LIU Xinyuan. (2021). Neuro-cognitive mechanism of food craving and restrained eating in Chinese. Advances in Psychological Science, 29(6), 951-958.

参考文献 46

[1]	王健美, 刘永, 周一舟, 张露露, 尹明, 杨润澜, 陈红. (2020). 辣食渴求者抑制控制能力的行为和ERP研究. 心理科学, 43(1), 150-157.
[2]	王劭睿, 陈红. (2019). 为何越减越肥?——限制性饮食者过度进食的心理机制及影响因素. 心理科学进展, 27(2), 322-328.
[3]	张雪萌, 陈红, 高笑, 江沂芯, 周一舟. (2016). 成功与失败限制性饮食者对食物加工的能量效应:注意偏向的眼动追踪. 心理科学, 39(4), 956-963.
[4]	周一舟. (2018). “辣食渴求者”线索反应的生理及神经机制 (博士学位论文). 西南大学, 重庆.
[5]	Brockmeyer, T., Hahn, C., Reetz, C., Schmidt, U., & Friederich, H.-C. (2015). Approach bias and cue reactivity towards food in people with high versus low levels of food craving. Appetite, 95, 197-202. doi: 10.1016/j.appet.2015.07.013 pmid: 26184338
[6]	Chen, S., Dong, D., Jackson, T., Su, Y., & Chen, H. (2016). Altered frontal inter-hemispheric resting state functional connectivity is associated with bulimic symptoms among restrained eaters. Neuropsychologia, 81, 22-30. doi: 10.1016/j.neuropsychologia.2015.06.036 URL
[7]	Chen, S., Dong, D., Jackson, T., Zhuang, Q., & Chen, H. (2017). Trait-based food-cravings are encoded by regional homogeneity in the parahippocampal gyrus. Appetite, 114, 155-160. doi: 10.1016/j.appet.2017.03.033 URL
[8]	Chen, S., Jackson, T., Dong, D., Zhuang, Q., & Chen, H. (2019). Effects of palatable food versus thin figure conflicts on responses of young dieting women. Frontiers in Psychology, 10..
[9]	Chen, S., Jia, Y., & Woltering, S. (2018). Neural differences of inhibitory control between adolescents with obesity and their peers. International Journal of Obesity, 42(10), 1753-1761. doi: 10.1038/s41366-018-0142-x URL
[10]	Claus, E. D., Blaine, S. K., Filbey, F. M., Mayer, A. R., & Hutchison, K. E. (2013). Association between nicotine dependence severity, BOLD response to smoking cues, and functional connectivity. Neuropsychopharmacology, 38(12), 2363-2372. doi: 10.1038/npp.2013.134 pmid: 23708507
[11]	Dong, D., Jackson, T., Wang, Y., & Chen, H. (2015). Spontaneous regional brain activity links restrained eating to later weight gain among young women. Biological Psychology, 109, 176-183. doi: 10.1016/j.biopsycho.2015.05.003 URL
[12]	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. doi: 10.1016/j.neuroscience.2014.01.062 pmid: 24513387
[13]	Geliebter, A., Benson, L., Pantazatos, S. P., Hirsch, J., & Carnell, S. (2016). Greater anterior cingulate activation and connectivity in response to visual and auditory high-calorie food cues in binge eating: Preliminary findings. Appetite, 96, 195-202. doi: S0195-6663(15)00375-X pmid: 26275334
[14]	Goldstein, R. (2018). 9. Cue-induced incubation of craving in human cocaine addiction: Modulation by reappraisal? Biological Psychiatry, 83(9), S3-S4.
[15]	Hormes, J. M., & Meule, A. (2016). Psychometric properties of the English Food Cravings Questionnaire-Trait-reduced (FCQ-T-r). Eating Behaviors, 20, 34-38. doi: 10.1016/j.eatbeh.2015.11.011 pmid: 26609669
[16]	Jones, A., Robinson, E., Duckworth, J., Kersbergen, I., Clarke, N., & Field, M. (2018). The effects of exposure to appetitive cues on inhibitory control: A meta-analytic investigation. Appetite, 128, 271-282. doi: 10.1016/j.appet.2018.06.024 URL
[17]	Keller, C., & Siegrist, M. (2014). Successful and unsuccessful restrained eating. Does dispositional self-control matter? Appetite, 74, 101-106. doi: 10.1016/j.appet.2013.11.019 URL
[18]	Kober, H., & Boswell, R. G. (2018). Potential psychological & neural mechanisms in binge eating disorder: Implications for treatment. Clinical Psychology Review, 60, 32-44. doi: S0272-7358(17)30190-3 pmid: 29329692
[19]	Kober, H., & Mell, M. M. (2015). Neural mechanisms underlying craving and the regulation of craving. The Wiley Handbook on the Cognitive Neuroscience of Addiction, 195-218.
[20]	Kong, F., Zhang, Y., & Chen, H. (2015). Inhibition ability of food cues between successful and unsuccessful restrained eaters: A two-choice oddball task. PLos ONE, 10(4), 741-752.
[21]	Liu, Y., Zhang, L., Jackson, T., Wang, J., Yang, R., & Chen, H. (2020). Effects of negative mood state on event-related potentials of restrained eating subgroups during an inhibitory control task. Behavioural Brain Research, 377, 112249. doi: 10.1016/j.bbr.2019.112249 URL
[22]	Ludy, M.-J., & Mattes, R. D. (2011). The effects of hedonically acceptable red pepper doses on thermogenesis and appetite. Physiology & Behavior, 102(3-4),251-258.
[23]	Lv, J., Qi, L., Yu, C., Yang, L., Guo, Y., Chen, Y., ... Li, L. (2015). Consumption of spicy foods and total and cause specific mortality: Population based cohort study. The British Medical Journal, 351, h3942.
[24]	Ma, Y., Ratnasabapathy, R., & Gardiner, J. (2017). Carbohydrate craving: Not everything is sweet. Current Opinion in Clinical Nutrition and Metabolic Care, 20(4), 261-265. doi: 10.1097/MCO.0000000000000374 URL
[25]	Meule, A., & Hormes, J. M. (2015). Chocolate versions of the Food Cravings Questionnaires. Associations with chocolate exposure-induced salivary flow and ad libitum chocolate consumption. Appetite, 91, 256-265. doi: 10.1016/j.appet.2015.04.054 URL
[26]	Meule, A., & Kubler, A. (2014). Double trouble. Trait food craving and impulsivity interactively predict food-cue affected behavioral inhibition. Appetite, 79, 174-182. doi: 10.1016/j.appet.2014.04.014 URL
[27]	Noori, H. R., Linan, A. C., & Spanagel, R. (2016). Largely overlapping neuronal substrates of reactivity to drug, gambling, food and sexual cues: A comprehensive meta-analysis. European Neuropsychopharmacology, 26(9), 1419-1430. doi: 10.1016/j.euroneuro.2016.06.013 URL
[28]	Pires, L., Leitão, J., Guerrini, C., & Simões, M. R. (2014). Event-related brain potentials in the study of inhibition: Cognitive control, source localization and age-related modulations. Neuropsychological Review, 24(4), 461-490. doi: 10.1007/s11065-014-9275-4 URL
[29]	Polivy, J., Herman, C. P., & Mills, J. S. (2020). What is restrained eating and how do we identify it? Appetite, 155, 104802.
[30]	Qin, N., Yang, F., Li, A., Prifti, E., Chen, Y., Shao, L., ... Li, L. (2014). Alterations of the human gut microbiome in liver cirrhosis. Nature, 513(7516), 59-64. doi: 10.1038/nature13568 URL
[31]	Rolls, E. T., & McCabe, C. (2007). Enhanced affective brain representations of chocolate in cravers vs. non-cravers. European Journal of Neuroscience, 26(4), 1067-1076. doi: 10.1111/j.1460-9568.2007.05724.x URL
[32]	Schaumberg, K., Anderson1, D. A., Anderson, L. M., Reilly, E. E., & Gorrell, S. (2016). Dietary restraint: What's the harm? A review of the relationship between dietary restraint, weight trajectory and the development of eating pathology. Clinical Obesity, 6, 89-100. doi: 10.1111/cob.12134 URL
[33]	Song, S., Zhang, Y., Qiu, J., Li, X., Ma, K., Chen, S., & Chen, H. (2019). Brain structures associated with eating behaviors in normal-weight young females. Neuropsychologia, 133, 107171. doi: 10.1016/j.neuropsychologia.2019.107171 URL
[34]	Stopyra, M. A., Simon, J. J., Skunde, M., Walther, S., Bendszus, M., Herzog, W., & Friederich, H. C. (2019). Altered functional connectivity in binge eating disorder and bulimia nervosa: A resting-state fmri study. Brain and Behavior, 9(2), e01207. doi: 10.1002/brb3.2019.9.issue-2 URL
[35]	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(1), 110-138. doi: 10.1037/a0030849 URL
[36]	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.
[37]	Sun, D., Lv, J., Chen, W., Li, S., Guo, Y., Bian, Z., ... Li, L. (2014). Spicy food consumption is associated with adiposity measures among half a million Chinese people: The China kadoorie biobank study. BMC Public Health, 14(1), 1293. doi: 10.1186/1471-2458-14-1293 URL
[38]	Sutherland, M. T., McHugh, M. J., Pariyadath, V., & Stein, E. A. (2012). Resting state functional connectivity in addiction: Lessons learned and a road ahead. NeuroImage, 62(4), 2281-2295. doi: 10.1016/j.neuroimage.2012.01.117 pmid: 22326834
[39]	Tepper, B. J., Keller, K. L., & Ullrich, N. V. (2004). Genetic variation in taste and preferences for bitter and pungent foods: Implications for chronic disease risk(pp.60-74). Challenges in Taste Chemistry and Biology.
[40]	Wang, Y., Dong, D., Jackson, T., Jie, D., Zhou, Y., Hui, L., & Chen, H. (2016). Neural correlates of restrained eaters' high susceptibility to food cues: An fMRI study. Neuroscience Letters, 631, 56-62. doi: S0304-3940(16)30588-2 pmid: 27524674
[41]	Weygandt, M., Mai, K., Dommes, E., Ritter, K., Leupelt, V., Spranger, J., & Haynes, J.-D. (2015). Impulse control in the dorsolateral prefrontal cortex counteracts post-diet weight regain in obesity. NeuroImage, 109, 318-327. doi: 10.1016/j.neuroimage.2014.12.073 pmid: 25576647
[42]	Yao, L., Li, W., Dai, Z., & Dong, C. (2016). Eating behavior associated with gray matter volume alternations: A voxel based morphometry study. Appetite, 96, 572-579. doi: 10.1016/j.appet.2015.10.017 URL
[43]	Zhang, X., Luo, Y., Liu, Y., Yang, C., & Chen, H. (2019). Lack of conflict during food choice is associated with the failure of restrained eating. Eating Behaviors, 34, 101309. doi: 10.1016/j.eatbeh.2019.101309 URL
[44]	Zhang, Y., Wang, S., Wei, L., Jackson, T., Gao, X., Xiao, M. Y., ... Chen, H. (2020). Resting state differences between successful and unsuccessful restrained eaters. Brain Imaging and Behavior, 6.
[45]	Zhou, Y., Gao, X., Small, D. M., & Chen, H. (2019). Extreme spicy food cravers displayed increased brain activity in response to pictures of foods containing chili peppers: An fMRI study. Appetite, 142, 104379. doi: 10.1016/j.appet.2019.104379 URL
[46]	Zhou, Y., Liu, Y., Du, J., & Chen, H. (2018). Effects of food exposure on food-related inhibitory control in restrained eaters: An ERP study. Neuroscience Letters, 672, 130-135. doi: 10.1016/j.neulet.2018.02.048 URL