CSF3R和行动控制对应激与健康饮食关系的调节作用：应激影响健康行为的个体化模型的初步证据

doi:10.3724/SP.J.1041.2023.01489

摘要/Abstract

摘要：

应激在饮食方面的反应因人而异; 有些人在应激下喜欢多吃甜食和其他高热量食物, 而另一些人则没有这样的倾向。这可能与两种类型的迷走神经系统功能优势性有关：向营养型或兴奋型。本研究以14675位中国成年人为样本, 结合健康行动过程模型和迷走神经支配性理论, 发现应激显著预测了健康饮食意向的减少, 以及随后健康饮食行为的减少。CSF3R基因rs4076431及其连锁位点rs4498771, rs10752589, rs9660229调节了应激与健康饮食意向之间的关系, 而行动控制调节了健康饮食意向与健康饮食行为之间的关系。以rs4076431为例, 应激与健康饮食意向之间的负向关系在AA基因型(向营养型)中比在G等位基因携带者(兴奋型)中更强。行动控制分数越高, 健康饮食行为越多, 而且该行为越少受到应激和健康饮食意向的影响。基于这些结果我们提出了应激影响健康行为的个体化模型, 应激下的健康管理应考虑生理、行为、情境等多个层面的影响因素。

关键词: 健康饮食, 感知应激, 基因, 迷走神经支配性

Abstract:

A healthy diet is essential to maintaining a healthy lifestyle, yet many factors may hinder a healthy eating plan. Some studies have found that people tend to consume more unhealthy foods to cope with stress. But the opposite findings also exist. Some people under stress may still maintain a healthy diet. The mechanisms by which people make different dietary choices under stress are not yet clear.

This study combined health behavior theories and vagal tone theory and proposed a gene stress interaction model of dietary choice, arguing that different dietary choices under stress may be related to two types of vagal tone: trophotropic or ergotrophic, representing the tendency to regenerate and recover or the tendency to prepare for fight or flight. CSF3R is a granulocyte colony-stimulating factor receptor that is closely associated with chronic psychological stress responses, and its different genotypes may lead to different stress responses, exhibiting the aforementioned tendency toward or away from nutrition. In addition, action control suggested by HAPA (Health Action Process Approach) may also play a critical role in the implementation of healthy eating intentions into healthy eating behaviors.

A sample of 14675 Chinese adults completed genotyping of their saliva samples, as well as questionnaires on perceived stress, action control, and healthy dietary intentions and behaviors. CSF3R was used as a candidate gene reflecting vagal tone due to its proven impact on stress response. Regression analysis was used to test the effect of stress on healthy dietary intentions and behaviors, and the moderating effect of the CSF3R gene and action control.

Results found that stress predicted a significant reduction in healthy dietary intentions and a subsequent reduction in healthy dietary behaviors. The CSF3R gene rs4076431 and its linked loci rs4498771, rs10752589, rs9660229 moderated the relationship between stress and healthy eating intentions, while action control moderated the relationship between healthy eating intentions and behaviors. In rs4076431, for example, the negative relationship between stress and healthy eating intentions was stronger in AA genotype (trophotropic) than the G carriers (ergotrophic). And higher levels of action control were associated with more healthy eating behaviors and less indirect impact of stress on behavior.

These results supported the individual health action against stress model, which may be applied to healthy diet education and stress management. Individual's stress levels reflecting environmental influence, dominance of vagal tone (or genotype) and action control reflecting individual physiological and psychological factors may all have an impact on dietary choices.

Key words: healthy eating, perceived stress, gene, vagal tone

中图分类号:

B845

胡月琴, 王理中, 陈钢, 甘怡群. (2023). CSF3R和行动控制对应激与健康饮食关系的调节作用：应激影响健康行为的个体化模型的初步证据. 心理学报, 55(9), 1489-1500.

HU Yueqin, WANG Lizhong, CHEN Gang, GAN Yiqun. (2023). Moderating effects of CSF3R and action control between stress and healthy eating: Preliminary evidence for an individual health action against stress model. Acta Psychologica Sinica, 55(9), 1489-1500.

图/表 4

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变量	n	M	SD	应激	健康意向	健康行为	行动控制	基因
应激	14675	28.13	6.72	1
健康意向	14675	6.30	1.80	-0.14^***	1
健康行为	14675	5.64	2.09	-0.15^***	0.78^***	1
行动控制	14675	4.51	1.31	-0.16^***	0.43^***	0.46^***	1
基因	14180	-	-	-0.01	0.01	0.01	0.02	1
性别	14630	-	-	0.04^***	0.14^***	0.12^***	0.08^***	0.02^*
年龄	14668	28.17	7.08	-0.20^***	0.08^***	0.09^***	0.12^***	0.00
教育程度	14675	4.02	0.78	-0.11^***	0.07^***	0.08^***	0.09^***	-0.01

变量	n	M	SD	应激	健康意向	健康行为	行动控制	基因
应激	14675	28.13	6.72	1
健康意向	14675	6.30	1.80	-0.14^***	1
健康行为	14675	5.64	2.09	-0.15^***	0.78^***	1
行动控制	14675	4.51	1.31	-0.16^***	0.43^***	0.46^***	1
基因	14180	-	-	-0.01	0.01	0.01	0.02	1
性别	14630	-	-	0.04^***	0.14^***	0.12^***	0.08^***	0.02^*
年龄	14668	28.17	7.08	-0.20^***	0.08^***	0.09^***	0.12^***	0.00
教育程度	14675	4.02	0.78	-0.11^***	0.07^***	0.08^***	0.09^***	-0.01

模型	因变量	自变量	B	SE	β	p	95% CI
1	意向	应激	-0.034^***	0.002	-0.128	<0.001	-0.038	-0.030
2	行为	应激	-0.008^***	0.001	-0.035	<0.001	-0.010	-0.006
		意向	0.645^***	0.005	0.768	<0.001	0.636	0.654
3	意向	应激	-0.041^***	0.003	-0.131	<0.001	-0.047	-0.035
		基因	-0.354^**	0.127	0.001	0.005	-0.603	-0.105
		应激×基因	0.013^**	0.004	0.024	0.004	0.004	0.021
4	行为	应激	-0.042^***	0.006	-0.137	<0.001	-0.054	-0.031
		基因	-0.215^*	0.107	0.002	0.045	-0.424	-0.005
		应激×基因	0.008^*	0.004	0.017	0.034	0.001	0.015
5	行为	应激	-0.008^*	0.004	-0.036	0.043	-0.036	-0.0002
		基因	0.014	0.068	0.000	0.840	0.001	0.148
		意向	0.646^***	0.005	0.768	<0.001	0.768	0.654
		应激×基因	-0.0004	0.002	-0.001	0.867	-0.001	0.004
6	行为	应激	-0.005^***	0.002	-0.023	<0.001	-0.008	-0.003
		意向	0.869^***	0.014	0.676	<0.001	0.842	0.897
		控制	0.595^***	0.022	0.151	<0.001	0.552	0.637
		意向×控制	-0.067^***	0.003	-0.104	<0.001	-0.073	-0.060

模型	因变量	自变量	B	SE	β	p	95% CI
1	意向	应激	-0.034^***	0.002	-0.128	<0.001	-0.038	-0.030
2	行为	应激	-0.008^***	0.001	-0.035	<0.001	-0.010	-0.006
		意向	0.645^***	0.005	0.768	<0.001	0.636	0.654
3	意向	应激	-0.041^***	0.003	-0.131	<0.001	-0.047	-0.035
		基因	-0.354^**	0.127	0.001	0.005	-0.603	-0.105
		应激×基因	0.013^**	0.004	0.024	0.004	0.004	0.021
4	行为	应激	-0.042^***	0.006	-0.137	<0.001	-0.054	-0.031
		基因	-0.215^*	0.107	0.002	0.045	-0.424	-0.005
		应激×基因	0.008^*	0.004	0.017	0.034	0.001	0.015
5	行为	应激	-0.008^*	0.004	-0.036	0.043	-0.036	-0.0002
		基因	0.014	0.068	0.000	0.840	0.001	0.148
		意向	0.646^***	0.005	0.768	<0.001	0.768	0.654
		应激×基因	-0.0004	0.002	-0.001	0.867	-0.001	0.004
6	行为	应激	-0.005^***	0.002	-0.023	<0.001	-0.008	-0.003
		意向	0.869^***	0.014	0.676	<0.001	0.842	0.897
		控制	0.595^***	0.022	0.151	<0.001	0.552	0.637
		意向×控制	-0.067^***	0.003	-0.104	<0.001	-0.073	-0.060