Hernández Graciela Trujillo, Menendez David, Yoo Seung Heon, Klapper Rebecca E, Schapfel Maria H, Sowers Kailee A, Welch Victoria E, Rosengren Karl S
Department of Psychology and Department of Brain and Cognitive Science, University of Rochester, Rochester, New York, United States of America.
Department of Psychology, University of California-Santa Cruz, Santa Cruz, California, United States of America.
PLoS One. 2025 Aug 18;20(8):e0330506. doi: 10.1371/journal.pone.0330506. eCollection 2025.
Information discussed between parents and children provide a foundation for children's developing understanding of health and illness. Parents of 3-to-7-year-old children (N = 516, 62% female, 78% White) residing in the United States were recruited using Amazon's Mechanical Turk during July 29th- August 10th, 2020. We asked parents to report three questions that their children had asked about the COVID-19 pandemic and asked them to report how they responded to those questions. Children's questions focused on lifestyle changes (22%), while parental responses were often about the virus (23%). We examined the stability of content of children's questions and parental responses between the first peak and second peak of infection and death rates due to COVID-19 in the United States. The topic of children's questions and the types of parental responses shifted between the two peaks, such that parents during the second peak of the pandemic reported their children asking more frequently about the virus and preventive measures than children in the first peak. Meanwhile, parents during the second peak of infection and death rates were more focused on responding to their children's questions with information about the virus. We used Latent Class Analysis to explore overall patterns in children's questions and parents' responses. For children's questions, three latent classes were obtained: (1) the virus [39%], (2) the virus/lifestyle changes [21%], and (3) lifestyle changes/preventive measures [40%]. For parents' responses three latent classes were found: (1) the virus/self-protection [54%], (2) reassurance/the virus [28%], and (3) simple yes/no answers without further explanation [17%]. These results suggest that children's questions and parental responses can be captured in terms of a discrete number of latent classes.
父母与孩子之间讨论的信息为孩子对健康和疾病的理解发展奠定了基础。2020年7月29日至8月10日期间,通过亚马逊的Mechanical Turk招募了居住在美国的3至7岁儿童的父母(N = 516,62%为女性,78%为白人)。我们要求父母报告他们的孩子提出的关于新冠疫情的三个问题,并询问他们是如何回答这些问题的。孩子的问题集中在生活方式的改变(22%),而父母的回答通常是关于病毒(23%)。我们研究了在美国因新冠疫情导致的感染率和死亡率的第一个高峰和第二个高峰之间,孩子问题内容和父母回答的稳定性。孩子问题的主题和父母回答的类型在两个高峰之间发生了变化,以至于在疫情第二个高峰期间,父母报告说他们的孩子比第一个高峰期间的孩子更频繁地询问关于病毒和预防措施的问题。同时,在感染率和死亡率的第二个高峰期间,父母更专注于用关于病毒的信息来回答孩子的问题。我们使用潜在类别分析来探索孩子问题和父母回答的总体模式。对于孩子的问题,得到了三个潜在类别:(1)病毒[39%],(2)病毒/生活方式改变[21%],以及(3)生活方式改变/预防措施[40%]。对于父母的回答,发现了三个潜在类别:(1)病毒/自我保护[54%],(2)安慰/病毒[28%],以及(3)没有进一步解释的简单是/否回答[17%]。这些结果表明,孩子的问题和父母的回答可以用离散数量的潜在类别来描述。