从童年到青年时期的焦虑症状轨迹受智商和性别的影响,但不受多基因风险评分的影响

JCPP advances Pub Date : 2024-07-17 DOI:10.1002/jcv2.12268
Ana Beatriz Ravagnani Salto, G. A. Salum, M. Hoffmann, Marcos L. Santoro, A. Zugman, Pedro M. Pan, S. Belangero, Lucas Toshio Ito, V. Doretto, M. S. Croci, Marcelo J A A Brañas, Carina de Giusti, Francisco Da Silva‐Jr, Sahâmia Martins Ribeiro, E. Miguel, J. Leckman
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摘要

了解决定焦虑症状在整个成长过程中的不同表现的因素,可以更好地指导干预措施。2033名青少年(6-14岁[基线时平均年龄=10.4 ± 1.94])参加了巴西精神状况高风险队列纵向研究,并在2010年至2019年期间的三个时间点接受了儿童焦虑相关障碍筛查评估。确证因子分析为成长混合模型提供了输入,以确定最合适的轨迹模型。多项式逻辑回归分析测试了智商(IQ)、环境因素和多基因风险评分对轨迹类别成员内化症状的影响。最佳模型解决方案确定了三个类别:随时间推移症状高度减轻、中度/低度稳定和低度加重。在第二个时间点(平均年龄 = 13.8 ± 1.93),高递减等级的焦虑症状发生率较高;而在第三个时间点(平均年龄 = 18.35 ± 2.03),低递增等级的焦虑症状发生率最高。此外,较低的智商预示着属于高递减轨迹等级(OR = 0.68,95% CI [0.55,0.85]),而较高的智商预示着属于低递增轨迹等级(OR = 1.95,95% CI [1.42,2.67])。最后,女性比男性更有可能属于低递增轨迹类。认识到焦虑症状随着时间的推移会呈现出不同的发展轨迹,将有助于制定更有效的干预策略。认识到焦虑症状随着时间的推移会出现不同的发展轨迹,就可以采取更有效的干预策略。具体来说,干预措施可以使儿童在幼儿期(即智商较低)和青春期后期(即智商较高)时面临更大的焦虑风险。也就是说,无论女孩的认知能力或成就如何,都应关注青春期后期女孩的情感需求。
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The trajectory of anxiety symptoms during the transition from childhood to young adulthood is predicted by IQ and sex, but not polygenic risk scores
Understanding the factors that determine distinct courses of anxiety symptoms throughout development will better guide interventions. There are scarce data‐driven longitudinal studies, using multi‐modal predictors, investigating the chronicity of anxiety symptoms from childhood to young adulthood, particularly in a middle‐income country.2033 youths (ages 6–14 years [Mean age = 10.4 ± 1.94) at Baseline] were enrolled in the Brazilian High‐Risk Cohort for Mental Conditions longitudinal study, and assessed at three timepoints, between 2010 and 2019, using the Screen for Child Anxiety Related Disorders. Confirmatory Factor Analysis provided input to Growth Mixture Models to identify the best fitting trajectory model. Multinomial logistic regression analyses tested the effects of intelligence quotient (IQ), environmental factors and polygenic risk scores on internalizing symptomatology within trajectory class membership.The best model solution identified three classes: high‐decreasing, moderate/low‐stable and low‐increasing symptoms over time. The high‐decreasing class showed a higher incidence of anxiety symptoms at the second time point (Mean age = 13.8 ± 1.93); while anxiety symptoms were highest in the low‐increasing class at the third timepoint (Mean age = 18.35 ± 2.03). Further, lower IQ predicted membership in the high‐decreasing trajectory class (OR = 0.68, 95% CI [0.55, 0.85]), while higher IQ predicted membership in the low‐increasing trajectory class (OR = 1.95, 95% CI [1.42, 2.67]). Finally, females were more likely than males to be in the low‐increasing trajectory class. Polygenic risk scores were not associated with anxiety trajectory class membership.Recognizing that anxiety symptoms follow diverse paths over time will allow for more effective intervention strategies. Specifically, interventions could accommodate children for greater anxiety risk in early childhood (i.e., lower IQ) versus late adolescence (i.e., higher IQ). That said, the emotional needs of girls in late adolescence should be monitored, regardless of their cognitive abilities or high achievements.
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Issue Information Implementing open science and reproducible research practices in mental health research through registered reports Special educational needs provision and academic outcomes for children with teacher reported language difficulties at school entry Examining the association of neighborhood conditions on attention‐deficit/hyperactivity disorder symptoms in autistic youth using the child opportunity index 2.0 The trajectory of anxiety symptoms during the transition from childhood to young adulthood is predicted by IQ and sex, but not polygenic risk scores
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