Rothenberg W Andrew, Lansford Jennifer E, Skinner Ann T, Chang Lei, Deater-Deckard Kirby, Di Giunta Laura, Dodge Kenneth A, Gurdal Sevtap, Junla Daranee, Liu Qin, Long Qian, Oburu Paul, Pastorelli Concetta, Sorbring Emma, Steinberg Laurence, Tirado Liliana Maria Uribe, Yotanyamaneewong Saengduean, Alampay Liane Peña, Al-Hassan Suha M, Bacchini Dario, Bornstein Marc H
Duke University, Durham, NC, USA.
University of Macau, MacaoDa Xue Da Ma Lu, Macau, China.
Prev Sci. 2024 Oct 2. doi: 10.1007/s11121-024-01726-2.
Relatively few studies have longitudinally investigated how COVID-19 has disrupted the lives and health of youth beyond the first year of the pandemic. This may be because longitudinal researchers face complex challenges in figuring out how to code time, account for changes in COVID-19 spread, and model longitudinal COVID-19-related trajectories across environmental contexts. This manuscript considers each of these three methodological issues by modeling trajectories of COVID-19 disruption in 1080 youth from 12 cultural groups in nine nations between March 2020-July 2022 using multilevel modeling. Our findings suggest that for studies that attempt to examine cross-cultural longitudinal trajectories during COVID-19, starting such trajectories on March 11, 2020, measuring disruption along 6-month time intervals, capturing COVID-19 spread using death rates and the COVID-19 Health and Containment Index scores, and using modeling methods that combine etic and emic approaches are each especially useful. In offering these suggestions, we hope to start methodological dialogues among longitudinal researchers that ultimately result in the proliferation of research on the longitudinal impacts of COVID-19 that the world so badly needs.
相对较少的研究纵向调查了新冠疫情爆发一年之后，新冠病毒病（COVID-19）如何扰乱了年轻人的生活和健康。这可能是因为纵向研究人员在确定如何对时间进行编码、考虑COVID-19传播的变化以及对不同环境背景下与COVID-19相关的纵向轨迹进行建模时面临复杂的挑战。本手稿通过使用多层次建模对2020年3月至2022年7月期间来自九个国家12个文化群体的1080名年轻人的COVID-19干扰轨迹进行建模，来考虑这三个方法学问题中的每一个。我们的研究结果表明，对于试图在COVID-19期间研究跨文化纵向轨迹的研究，在2020年3月11日开始此类轨迹，以6个月的时间间隔测量干扰，使用死亡率和COVID-19健康与遏制指数得分来捕捉COVID-19的传播，以及使用结合客位和主位方法的建模方法，每一项都特别有用。在提出这些建议时，我们希望在纵向研究人员之间展开方法学对话，最终促成对COVID-19纵向影响的研究大量涌现，而这正是当今世界迫切需要的。
