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感受到空虚:通过 Twitter 数据分析揭示 COVID-19 大流行期间孕妇对隔离和睡眠困难的支持缺失。

Feeling the Void: Lack of Support for Isolation and Sleep Difficulties in Pregnant Women during the COVID-19 Pandemic Revealed by Twitter Data Analysis.

机构信息

Interdisciplinary School of Health Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada.

School of Psychology, University of Ottawa, Ottawa, ON K1N 6N5, Canada.

出版信息

Int J Environ Res Public Health. 2021 Jan 6;18(2):393. doi: 10.3390/ijerph18020393.

Abstract

Pregnant women face many physical and psychological changes during their pregnancy. It is known that stress, caused by many factors and life events such as the COVID-19 pandemic, can negatively impact the health of mothers and offspring. It is the first time social media, such as Twitter, are available and commonly used during a global pandemic; this allows access to a rich set of data. The objective of this study was to characterize the content of an international sample of tweets related to pregnancy and mental health during the first wave of COVID-19, from March to June 2020. Tweets were collected using GetOldTweets3. Sentiment analysis was performed using the VADER sentiment analysis tool, and a thematic analysis was performed. In total, 192 tweets were analyzed: 51 were from individuals, 37 from companies, 56 from non-profit organizations, and 48 from health professionals/researchers. Findings showed discrepancies between individual and non-individual tweets. Women expressed anxiety, depressive symptoms, sleeping problems, and distress related to isolation. Alarmingly, there was a discrepancy between distress expressed by women with isolation and sleep difficulties compared to support offered by non-individuals. Concrete efforts should be made to acknowledge these issues on Twitter while maintaining the current support offered.

摘要

孕妇在怀孕期间会面临许多生理和心理变化。众所周知,压力会对母亲和后代的健康产生负面影响,而压力是由许多因素和生活事件引起的,如 COVID-19 大流行。社交媒体(如 Twitter)在全球大流行期间首次被广泛使用,这使得人们可以获取到丰富的数据。本研究的目的是描述 2020 年 3 月至 6 月 COVID-19 第一波期间国际样本中与怀孕和心理健康相关的 Twitter 内容的特征。使用 GetOldTweets3 收集推文。使用 VADER 情感分析工具进行情感分析,并进行主题分析。共分析了 192 条推文:51 条来自个人,37 条来自公司,56 条来自非营利组织,48 条来自医疗专业人员/研究人员。研究结果显示,个人和非个人推文之间存在差异。女性表达了焦虑、抑郁症状、睡眠问题和与隔离相关的困扰。令人担忧的是,与隔离相关的女性的困扰与非个人提供的支持之间存在差异,而睡眠困难。应在 Twitter 上做出具体努力来承认这些问题,同时保持当前提供的支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a902/7825552/11bff81d4b15/ijerph-18-00393-g001.jpg

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