努力支出与大麻使用:动机假设检验

Samuel F. Acuff, N. Simon, James Murphy
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Further, other studies suggest greater effort expenditure among the substance using groups compared to controls. The current study extends these findings by examining the relation between cannabis use and effort-related decision making in a sample of college students. Cannabis using (n = 25) and non-cannabis using (n = 22) students completed the Effort Expenditure for Rewards Task (EEfRT), in which participants choose between a ‘hard’ task that requires pressing a button 100 times with the nondominant little finger for a large sum of money (high effort/high reward) or an ‘easy’ task that requires pressing a button 30 times with the dominant index finger for a smaller sum of money (low effort/low reward). Results were then compared between the cannabis and non-cannabis using groups. On average, participants selected the hard trials 46% of the time (SD = 19%). Participants successfully completed the hard trials 74% of the time (SD 29%), while they completed the easy trials 97% of the time (SD = 6%). No participant selected only hard or easy trials during the duration of the task. Cannabis users (M=41.40, SD=3.55) completed significantly fewer trials compared to nonusers (M=43.64, SD=3.74). Further, Nonusers (M=26.82, SD=10.01) selected easy trials significantly more often compared to cannabis users (M=21.40, SD=8.34), and nonusers (M=99%, SD=2%) also successfully completed easy trials more often compared to cannabis users (M=95%, SD=7%). However, cannabis users and nonusers did not differ in the number of hard trials selected (Cannabis users M=16.82, SD=5.67; Nonusers M=16.82, SD=7.68) or the percentage of successfully completed hard trials out of the total number of hard trials (Cannabis users M=72%, SD=27%; Nonusers M=76%, SD =32%). Both the reward magnitude and probability of reward receipt predicted greater likelihood of selecting a hard trial. In generalized estimating equation models, past month cannabis days and cannabis use disorder symptoms predicted the likelihood of selecting a hard trial, such that greater levels of both cannabis use days and symptoms were associated with an increased likelihood after controlling for reward value, probability, and expected value. 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引用次数: 0

摘要

大麻是美国最常用的非法药物,似乎对中脑边缘投射的多巴胺(DA)输出有间接影响,中脑边缘投射是一个涉及奖励处理和努力支出的回路。因此,一些人认为大麻的使用可能与异常的基于努力的决策有关。最流行的假设大麻使用导致动机改变的理论是动机综合症假说,该假说认为,长期使用大麻会导致执行功能、觉醒和情感反应受损,导致目标导向行为(而不是寻求药物)的能力下降。然而,只有一项研究对大麻使用者进行了调查,结果表明大麻使用者和非大麻使用者之间没有差异。此外,其他研究表明,与对照组相比,药物使用组的精力消耗更大。目前的研究通过在大学生样本中检查大麻使用与努力相关决策之间的关系来扩展这些发现。吸食大麻的学生(n = 25)和不吸食大麻的学生(n = 22)完成了“努力支出奖励任务”(EEfRT),在这项任务中,参与者可以选择一项“困难”任务,即需要用非主导的小指按按钮100次以获得大笔金钱(高努力/高奖励),或者一项“容易”任务,即需要用主导的食指按按钮30次以获得较少的金钱(低努力/低奖励)。然后将结果在大麻和非大麻使用组之间进行比较。平均而言,46%的参与者选择了困难的试验(SD = 19%)。参与者成功完成困难试验的比例为74% (SD = 29%),而完成简单试验的比例为97% (SD = 6%)。在任务期间,没有参与者只选择困难或简单的试验。大麻使用者(M=41.40, SD=3.55)完成的试验明显少于非使用者(M=43.64, SD=3.74)。此外,非使用者(M=26.82, SD=10.01)比大麻使用者(M=21.40, SD=8.34)更频繁地选择简单试验,非使用者(M=99%, SD=2%)也比大麻使用者更频繁地成功完成简单试验(M=95%, SD=7%)。然而,大麻使用者和非使用者在选择的硬试验数量上没有差异(大麻使用者M=16.82, SD=5.67;非使用者M=16.82, SD=7.68)或成功完成硬试验的百分比占硬试验总数(大麻使用者M=72%, SD=27%;非用户M=76%, SD =32%)。奖励大小和获得奖励的概率都预示着选择困难试验的可能性更大。在广义估计方程模型中,上个月吸食大麻天数和大麻使用障碍症状预测了选择硬试验的可能性,因此,在控制了奖励值、概率和期望值之后,吸食大麻天数和症状的增加与可能性的增加有关。结果表明,即使在控制了奖励的大小和获得奖励的概率之后,使用大麻的大学生也更有可能付出努力,这表明可能存在异常的奖励加工,尽管与动机综合症假设的方向相反。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effort Expenditure and Cannabis Use: Testing the Amotivational Hypothesis
Cannabis is the most commonly used illicit drug in the US and appears to have an indirect effect on dopamine (DA) output in the mesolimbic projection, a circuit implicated in reward processing and effort expenditure. Thus, some have suggested that cannabis use might be associated with aberrant effort-based decision making. The most popular theory positing changes in motivation due to cannabis use is the amotivation syndrome hypothesis, which suggests that chronic cannabis use results in impaired executive functioning, arousal, and affective reactivity leading to reduced capacity for goal-directed behavior other than drug seeking. However, only one study has examined this among cannabis users, and the results suggested no difference between cannabis and non-cannabis users. Further, other studies suggest greater effort expenditure among the substance using groups compared to controls. The current study extends these findings by examining the relation between cannabis use and effort-related decision making in a sample of college students. Cannabis using (n = 25) and non-cannabis using (n = 22) students completed the Effort Expenditure for Rewards Task (EEfRT), in which participants choose between a ‘hard’ task that requires pressing a button 100 times with the nondominant little finger for a large sum of money (high effort/high reward) or an ‘easy’ task that requires pressing a button 30 times with the dominant index finger for a smaller sum of money (low effort/low reward). Results were then compared between the cannabis and non-cannabis using groups. On average, participants selected the hard trials 46% of the time (SD = 19%). Participants successfully completed the hard trials 74% of the time (SD 29%), while they completed the easy trials 97% of the time (SD = 6%). No participant selected only hard or easy trials during the duration of the task. Cannabis users (M=41.40, SD=3.55) completed significantly fewer trials compared to nonusers (M=43.64, SD=3.74). Further, Nonusers (M=26.82, SD=10.01) selected easy trials significantly more often compared to cannabis users (M=21.40, SD=8.34), and nonusers (M=99%, SD=2%) also successfully completed easy trials more often compared to cannabis users (M=95%, SD=7%). However, cannabis users and nonusers did not differ in the number of hard trials selected (Cannabis users M=16.82, SD=5.67; Nonusers M=16.82, SD=7.68) or the percentage of successfully completed hard trials out of the total number of hard trials (Cannabis users M=72%, SD=27%; Nonusers M=76%, SD =32%). Both the reward magnitude and probability of reward receipt predicted greater likelihood of selecting a hard trial. In generalized estimating equation models, past month cannabis days and cannabis use disorder symptoms predicted the likelihood of selecting a hard trial, such that greater levels of both cannabis use days and symptoms were associated with an increased likelihood after controlling for reward value, probability, and expected value. The results suggest that college students who use cannabis are more likely to expend effort, even after controlling for the magnitude of the reward and the probability of reward receipt, suggesting the possibility for aberrant reward processing, albeit in the opposite direction of the amotivational syndrome hypothesis.
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