Agarwal Khushbu, Manza Peter, Tejeda Hugo A, Courville Amber B, Volkow Nora D, Joseph Paule V
Section of Sensory Science and Metabolism, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland; National Institute of Nursing Research, Bethesda, Maryland.
Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland.
J Adolesc Health. 2025 Apr;76(4):690-701. doi: 10.1016/j.jadohealth.2023.08.033. Epub 2023 Oct 8.
We aimed to identify significant contributing factors to the risk of maladaptive behaviors, such as alcohol use disorder or obesity, in children. To achieve this, we utilized the extensive adolescent brain cognitive development data set, which encompasses a wide range of environmental, social, and nutritional factors.
We divided our sample into equal sets (test, validation; n = 3,415 each). On exploratory factor analysis, six factor domains were identified as most significant (fat/sugar intake, screen time, and prenatal alcohol exposure, parental aggressiveness, hyperactivity, family violence, parental education, and family income) and used to stratify the children into low- (n = 975), medium- (n = 967), high- (n = 977) risk groups. Regression models were used to analyze the relationship between identified risk groups, and differences in reward sensitivity, and behavioral problems at 2-year follow-up.
The functional magnetic resonance imaging analyses showed reduced activation in several brain regions during reward or loss anticipation in high/medium-risk (vs. low-risk) children on a monetary incentive delay task. High-risk children exhibited heightened middle frontal cortex activity when receiving large rewards. They also displayed increased impulsive and motivated reward-seeking behaviors, along with behavioral problems. These findings replicated in our validation set, and a negative correlation between middle frontal cortexthickness and impulsivity behavior was observed in high-risk children.
Our findings show altered reward function and increased impulsiveness in high-risk adolescents. This study has implications for early risk identification and the development of prevention strategies for maladaptive behaviors in children, particularly those at high risk.
我们旨在确定导致儿童出现适应不良行为风险的重要因素,如酒精使用障碍或肥胖。为实现这一目标,我们利用了广泛的青少年大脑认知发展数据集,该数据集涵盖了广泛的环境、社会和营养因素。
我们将样本分成相等的两组(测试组、验证组;每组n = 3415)。通过探索性因素分析,确定了六个最显著的因素领域(脂肪/糖摄入量、屏幕使用时间、产前酒精暴露、父母攻击性、多动、家庭暴力、父母教育程度和家庭收入),并据此将儿童分为低风险组(n = 975)、中风险组(n = 967)、高风险组(n = 977)。使用回归模型分析已确定的风险组之间的关系,以及在两年随访时奖励敏感性和行为问题的差异。
功能磁共振成像分析显示,在金钱激励延迟任务中,高/中风险(与低风险)儿童在预期奖励或损失时,几个脑区的激活减少。高风险儿童在获得大额奖励时,额中回活动增强。他们还表现出更多冲动性和主动寻求奖励的行为,以及行为问题。这些发现在我们的验证组中得到了重复,并且在高风险儿童中观察到额中回厚度与冲动行为之间存在负相关。
我们的研究结果表明,高风险青少年的奖励功能发生改变,冲动性增加。本研究对于儿童适应不良行为,尤其是高风险儿童的早期风险识别和预防策略的制定具有启示意义。