Bombardelli Ricardo Kaciava, Bado Patricia Pinheiro, Pacheco João Pedro Gonçalves, Jobim Gabriele Dos Santos, Neto Ary Gadelha de Alencar Araripe, Miguel Euripedes Constantino, Bressan Rodrigo Affonseca, Pan Pedro Mario, Rohde Luis Augusto, Salum Giovanni Abrahão, Hoffmann Mauricio Scopel
Mental Health Epidemiology Group (MHEG), Universidade Federal de Santa Maria, Santa Maria, Brazil.
School of Medicine, Universidade Federal de Santa Maria, Santa Maria, Brazil.
medRxiv. 2025 Jul 27:2025.07.26.25332224. doi: 10.1101/2025.07.26.25332224.
Screen time has been linked with inattention/hyperactivity symptoms, but studies often do not distinguish within- from between-person associations over long developmental periods.
Data were drawn from the Brazilian High-Risk Cohort for Mental Health Conditions, a school-based cohort with assessments at baseline (2010) and follow-ups in 2013-2014 and 2018-2019, 76% retention. The sample included 2,511 children (mean age = 10.2 years at baseline, 54.7% males). Daily screen time (hours spent exposed to computer, television or video games) was obtained by asking the parent or the primary caregiver (94.9% mothers). Inattention/hyperactivity symptoms were assessed with the Strengths and Difficulties Questionnaire (SDQ). Analysis was carried out using random intercept cross-lagged panel models, adjusting for sample representativeness, attrition, and demographic covariates. Sensitivity analysis was carried out using the Attention Scale of the Child and Behavior Checklist (CBCL), harmonized with the Adult Behavior Checklist (ABCL).
We found no within-person relationship between screen time and inattention/hyperactivity symptoms from childhood to early adulthood. Significant between-person associations were found in the SDQ but not in the adjusted SDQ models (respectively: β = 0.25; 95%CI = 0.02, 0.45; p = 0.029, and β = 0.22; 95%CI = -0.00, 0.45; p = 0.052). For instance, the history of primary caregiver's psychiatric diagnoses was associated with higher average screen time (β = 0.16; 95% CI, 0.07, 0.25; p < 0.001) and inattention/hyperactivity symptoms (β = 0.27; 95% CI, 0.21, 0.34; p < 0.001). Findings were replicated in the CBCL-ABCL model.
We found no longitudinal association between increasing screen time exposure beyond an individual's average and inattention/hyperactivity symptomatology. Furthermore, between-person associations were absent after covariate adjustment and results weren't sensitive to the questionnaire.
屏幕使用时间已与注意力不集中/多动症状相关联,但在长期的发育阶段,研究往往未区分个体内和个体间关联。
数据取自巴西心理健康状况高风险队列,这是一个基于学校的队列,在基线(2010年)进行评估,并在2013 - 2014年和2018 - 2019年进行随访,保留率为76%。样本包括2511名儿童(基线时平均年龄 = 10.2岁,54.7%为男性)。通过询问家长或主要照顾者(94.9%为母亲)获取每日屏幕使用时间(接触电脑、电视或电子游戏的时长)。使用优势与困难问卷(SDQ)评估注意力不集中/多动症状。采用随机截距交叉滞后面板模型进行分析,并对样本代表性、损耗和人口统计学协变量进行调整。使用与成人行为检查表(ABCL)协调的儿童行为检查表(CBCL)注意力量表进行敏感性分析。
我们发现从童年到成年早期,屏幕使用时间与注意力不集中/多动症状之间不存在个体内关系。在SDQ中发现了显著的个体间关联,但在调整后的SDQ模型中未发现(分别为:β = 0.25;95%置信区间 = 0.02,0.45;p = 0.029,以及β = 0.22;95%置信区间 = -0.00,0.45;p = 0.052)。例如,主要照顾者的精神科诊断史与较高的平均屏幕使用时间相关(β = 0.16;95%置信区间,0.07,0.25;p < 0.001)以及注意力不集中/多动症状相关(β = 0.27;95%置信区间,0.21,0.34;p < 0.001)。在CBCL - ABCL模型中重复了这些发现。
我们发现个体平均屏幕使用时间增加与注意力不集中/多动症状之间不存在纵向关联。此外,在协变量调整后不存在个体间关联,且结果对问卷不敏感。