青少年早期社交媒体使用与抑郁症状

IF 10.5 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Jason M Nagata, Christopher D Otmar, Joan Shim, Priyadharshini Balasubramanian, Chloe M Cheng, Elizabeth J Li, Abubakr A A Al-Shoaibi, Iris Y Shao, Kyle T Ganson, Alexander Testa, Orsolya Kiss, Jinbo He, Fiona C Baker
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引用次数: 0

摘要

重要性:2023年,美国卫生局局长发布了《社交媒体和青少年心理健康咨询》,指出了排除循证指导的关键研究差距,因为大多数关于社交媒体和心理健康的研究都是横断面的,而不是纵向的,并且关注的是年轻人或年龄较大的青少年,而不是更年轻的青少年。目的:评估社交媒体使用(在社交媒体上花费的时间)与抑郁症状之间的纵向关联,这些关联跨越了从童年晚期到青春期早期的3年随访期,每年4次。设计、环境和参与者:在这项前瞻性队列研究中,使用了2016年10月至2018年10月21个研究地点的青少年大脑认知发展研究数据,对基线时9至10岁的儿童进行了4个阶段(基线、1年、2年和3年)的评估,并进行了3年至2022年的随访。由于磨损和数据缺失,不同波浪和测量的样本量不同。分析保留了每一波的所有可用数据。数据分析时间为2024年1月至2025年3月。接触:自我报告在社交媒体上花费的时间,从基线到3年随访。主要结果和测量方法:使用纵向交叉滞后结构方程面板模型评估基线和随访1、2和3年时社交媒体使用与抑郁症状(儿童行为检查表)之间的相互关联。协变量包括性别、种族和民族、家庭收入和父母教育水平。结果:在基线时,样本包括11 876名参与者(平均[SD]年龄,9.9[0.6]岁),其中6196名(52.2%)为男性。在对稳定的人间差异和协变量进行调整后,高于个人水平平均值的社交媒体使用的个人内部增加与第1年至第2年抑郁症状的升高相关(β, 0.07;95% ci, 0.01-0.12;P = 0.01),第2年至第3年(β, 0.09;95% ci, 0.04-0.14;结论和相关性:在这项对1 876名儿童和青少年的队列研究中,基线后1年和2年高于个人水平的平均社交媒体使用与随后一年更严重的抑郁症状相关。研究结果表明,临床医生应该为青少年及其父母提供有关社交媒体使用的预期指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social Media Use and Depressive Symptoms During Early Adolescence.

Importance: In 2023, the US Surgeon General issued the Advisory on Social Media and Youth Mental Health, identifying critical research gaps that preclude evidence-based guidance given that most studies of social media and mental health have been cross-sectional rather than longitudinal and have focused on young adults or older adolescents rather than on younger adolescents.

Objective: To evaluate longitudinal associations between social media use (time spent on social media) and depressive symptoms across 4 annual waves spanning a 3-year follow-up period from late childhood to early adolescence.

Design, setting, and participants: In this prospective cohort study using data from the Adolescent Brain Cognitive Development Study across 21 study sites from October 2016 to October 2018, children aged 9 to 10 years at baseline were assessed across 4 waves (baseline, year 1, year 2, and year 3), with year-3 follow-up through 2022. Sample sizes varied across waves and measures due to attrition and missing data. Analyses retained all available data at each wave. Data were analyzed from January 2024 to March 2025.

Exposures: Self-reported time spent on social media at baseline to 3-year follow-up.

Main outcomes and measures: Reciprocal associations between social media use and depressive symptoms (Child Behavior Checklist) at baseline and at 1, 2, and 3 years of follow-up were assessed using longitudinal, cross-lagged structural equation panel models. Covariates included sex, race and ethnicity, household income, and parental educational level.

Results: At baseline, the sample included 11 876 participants (mean [SD] age, 9.9 [0.6] years), of whom 6196 (52.2%) were male. After adjusting for stable between-person differences and covariates, within-person increases in social media use above the person-level mean were associated with elevated depressive symptoms from year 1 to year 2 (β, 0.07; 95% CI, 0.01-0.12; P = .01) and from year 2 to year 3 (β, 0.09; 95% CI, 0.04-0.14; P < .001), whereas depressive symptoms were not associated with subsequent social media use at any interval. The final random-intercept cross-lagged panel model demonstrated a good fit (comparative fit index, 0.977; Tucker-Lewis index, 0.968; root mean square error of approximation, 0.031 [90% CI, 0.029-0.033]). Between-person differences in social media use were not associated with depressive symptoms (β, -0.01; 95% CI, -0.04 to 0.02; P = .46) after accounting for demographic and family-level factors.

Conclusions and relevance: In this cohort study of 11 876 children and adolescents, reporting higher than person-level mean social media use in years 1 and 2 after baseline was associated with greater depressive symptoms in the subsequent year. The findings suggest that clinicians should provide anticipatory guidance regarding social media use for young adolescents and their parents.

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来源期刊
JAMA Network Open
JAMA Network Open Medicine-General Medicine
CiteScore
16.00
自引率
2.90%
发文量
2126
审稿时长
16 weeks
期刊介绍: JAMA Network Open, a member of the esteemed JAMA Network, stands as an international, peer-reviewed, open-access general medical journal.The publication is dedicated to disseminating research across various health disciplines and countries, encompassing clinical care, innovation in health care, health policy, and global health. JAMA Network Open caters to clinicians, investigators, and policymakers, providing a platform for valuable insights and advancements in the medical field. As part of the JAMA Network, a consortium of peer-reviewed general medical and specialty publications, JAMA Network Open contributes to the collective knowledge and understanding within the medical community.
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