COVID-19大流行期间儿童和青少年的健康与经历:长期COVID研究中儿童和青少年的自由文本响应分析

IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of Medical Internet Research Pub Date : 2025-01-28 DOI:10.2196/63634
Natalia K Rojas, Sam Martin, Mario Cortina-Borja, Roz Shafran, Lana Fox-Smith, Terence Stephenson, Brian C F Ching, Anaïs d'Oelsnitz, Tom Norris, Yue Xu, Kelsey McOwat, Emma Dalrymple, Isobel Heyman, Tamsin Ford, Trudie Chalder, Ruth Simmons, Snehal M Pinto Pereira
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引用次数: 0

摘要

背景:关于COVID-19大流行预测的负面心理健康影响是否成为现实,文献是模棱两可的。一些定量研究报告称情绪问题和抑郁有所增加;其他人报告说,他们的心理健康和幸福感得到了改善。定性探索揭示了异质性,主题从失去的感觉到成长和发展。目的:本研究旨在分析参与儿童和年轻人长COVID研究的儿童和年轻人的自由文本回复,以更清楚地了解年轻人在大流行期间的感受。方法:使用人工智能文本网络分析工具InfraNodus对来自儿童和青少年的8224份自由文本回复进行分析,以确定最流行的话题。从8224份回复中随机抽取411份(5%)进行人工情绪分析;这被重新加权,以代表英格兰的儿童和年轻人。结果:体验可分为6个主要重叠的主题类:学校、考试压力、心理健康、疫情对情绪的影响、社会和家庭支持以及身体健康(包括COVID-19症状)。情绪分析结果显示,大部分人的陈述是负面的(314/411,76.4%),少部分人的陈述是正面的(57/411,13.9%)。持消极情绪者多为女性(227/314,72.3%),持积极情绪者多为老年人(170/314,54.1%)。观察到情绪与COVID-19状态以及性别之间存在显著相关性(P=。结论:我们使用InfraNodus分析了大量儿童和年轻人的自由文本回复。大多数回答(314/411,76.4%)是否定的,许多儿童和年轻人报告说,他们在与学校、社会环境和心理健康有关的一系列领域中感到痛苦。我们的研究结果补充了文献,强调了在应对国家紧急情况时对儿童和年轻人进行具体考虑的重要性。
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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Health and Experiences During the COVID-19 Pandemic Among Children and Young People: Analysis of Free-Text Responses From the Children and Young People With Long COVID Study.

Background: The literature is equivocal as to whether the predicted negative mental health impact of the COVID-19 pandemic came to fruition. Some quantitative studies report increased emotional problems and depression; others report improved mental health and well-being. Qualitative explorations reveal heterogeneity, with themes ranging from feelings of loss to growth and development.

Objective: This study aims to analyze free-text responses from children and young people participating in the Children and Young People With Long COVID study to get a clearer understanding of how young people were feeling during the pandemic.

Methods: A total of 8224 free-text responses from children and young people were analyzed using InfraNodus, an artificial intelligence-powered text network analysis tool, to determine the most prevalent topics. A random subsample of 411 (5%) of the 8224 responses underwent a manual sentiment analysis; this was reweighted to represent the general population of children and young people in England.

Results: Experiences fell into 6 main overlapping topical clusters: school, examination stress, mental health, emotional impact of the pandemic, social and family support, and physical health (including COVID-19 symptoms). Sentiment analysis showed that statements were largely negative (314/411, 76.4%), with a small proportion being positive (57/411, 13.9%). Those reporting negative sentiment were mostly female (227/314, 72.3%), while those reporting positive sentiment were mostly older (170/314, 54.1%). There were significant observed associations between sentiment and COVID-19 status as well as sex (P=.001 and P<.001, respectively) such that the majority of the responses, regardless of COVID-19 status or sex, were negative; for example, 84.1% (227/270) of the responses from female individuals and 61.7% (87/141) of those from male individuals were negative. There were no observed associations between sentiment and all other examined demographics. The results were broadly similar when reweighted to the general population of children and young people in England: 78.52% (negative), 13.23% (positive), and 8.24% (neutral).

Conclusions: We used InfraNodus to analyze free-text responses from a large sample of children and young people. The majority of responses (314/411, 76.4%) were negative, and many of the children and young people reported experiencing distress across a range of domains related to school, social situations, and mental health. Our findings add to the literature, highlighting the importance of specific considerations for children and young people when responding to national emergencies.

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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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