Delay discounting violations vary by adolescent sociodemographics: Excluding nonsystematic data may bias conclusions.

IF 1.6 3区 医学 Q3 PHARMACOLOGY & PHARMACY
Experimental and clinical psychopharmacology Pub Date : 2026-02-01 Epub Date: 2025-12-04 DOI:10.1037/pha0000809
Brett W Gelino, Julia W Felton, I-Tzu Hung, Justin C Strickland, Geoffrey D Kahn, Nathaniel S Thomas, Joshua L Gowin, Matthew E Sloan, Abraham A Palmer, Sandra Sanchez-Roige, Marcos R Sanches, Sarah W Yip, Brion S Maher, Jill A Rabinowitz
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引用次数: 0

Abstract

Delay discounting tasks are increasingly used across psychology to examine self-regulation and value-based decision making. These tasks assess how individuals devalue rewards as delays to receipt increase, with responses expected to follow a decreasing pattern. When participants report higher valuation at longer delays-a violation of this expected trend-such responses are often flagged as nonsystematic and, in many cases, excluded from analysis. Although intended to optimize data quality, such exclusions may systematically bias samples and distort downstream inferences. Using data from the Adolescent Brain Cognitive Development study (N = 11,307), we examined whether nonsystematic responding covaried with demographic, cognitive/behavioral, and environmental characteristics. Nearly half of participants exhibited at least one nonsystematic responding violation, with greater likelihood among youth from low-income households, low-resource neighborhoods, and racially minoritized backgrounds. Nonsystematic responding was also associated with lower abstract reasoning and higher positive urgency. Violations disproportionately occurred at the earliest presented task delays, suggesting a possible learning effect. These findings raise concerns that data exclusion criteria may bias behavioral samples and alter conclusions in translational research domains such as addiction science, behavioral pharmacology, and public health. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

延迟折扣违规行为因青少年社会人口统计学而异:排除非系统数据可能会使结论产生偏差。
延迟折扣任务越来越多地在心理学中用于检查自我调节和基于价值的决策。这些任务评估个体如何随着收到延迟的增加而降低奖励的价值,预期反应会遵循递减的模式。当参与者在较长时间内报告更高的估值时——违反了这一预期趋势——这种反应通常被标记为非系统性的,在许多情况下,被排除在分析之外。虽然是为了优化数据质量,但这样的排除可能会系统性地使样本产生偏差,并扭曲下游推论。使用来自青少年大脑认知发展研究(N = 11,307)的数据,我们检查了非系统反应是否与人口统计学、认知/行为和环境特征共变。近一半的参与者表现出至少一种非系统的反应违规,来自低收入家庭、低资源社区和少数种族背景的年轻人的可能性更大。非系统反应也与较低的抽象推理和较高的积极紧迫性相关。违规行为不成比例地发生在最早出现的任务延迟中,这表明可能存在学习效应。这些发现引起了人们的关注,即数据排除标准可能会使行为样本产生偏差,并改变成瘾科学、行为药理学和公共卫生等转化研究领域的结论。(PsycInfo Database Record (c) 2025 APA,版权所有)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.20
自引率
8.70%
发文量
164
审稿时长
6-12 weeks
期刊介绍: Experimental and Clinical Psychopharmacology publishes advances in translational and interdisciplinary research on psychopharmacology, broadly defined, and/or substance abuse.
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