背景:COVID-19大流行促使人们对整个人的健康和情绪健康产生了兴趣。信息学解决方案通过用户友好的工具,如移动健康应用程序提供了巨大的价值。之前的研究开发了一个面向消费者的应用程序MyStrengths+MyHealth,使用简化的奥马哈系统术语(SOST)来评估整个人的健康状况。MyStrengths+MyHealth应用程序评估优势,挑战,并需要(SCN)跨越四个领域的42个概念(我的生活,我的思想和网络,我的身体,我的自我照顾;例如,Income,情感,疼痛,营养,分别)。鉴于在COVID-19大流行期间,情绪健康是一个主要问题,我们试图了解有/没有情绪挑战的参与者的整个人的健康状况.
目的:本研究旨在使用可视化技术和来自中西部州博览会的与会者的数据来检查SCN整体和有/没有情绪挑战的群体,并探索参与者的韧性。
方法:这项横断面和描述性相关研究调查了2021年中西部州博览会的成年参与者。数据使用Excel可视化,并使用SPSS使用描述性和推理性统计进行分析。
结果:研究参与者(N=182)主要是女性(n=123,67.6%),年龄≥45岁(n=112,61.5%),白色(n=154,84.6%),非西班牙裔(n=177,97.3%)。与那些没有情感挑战的人相比,有情绪挑战的人年龄在18-44岁(P<.001)之间,更常见的是女性(P=0.02),没有结婚(P=0.01)。总的来说,参与者的优势(平均28.6,SD10.5)大于挑战(平均12,SD7.5)和需求(平均4.2,SD7.5).最常见的需求是情绪,营养,Income,睡觉,和锻炼。与那些没有情感挑战的人相比,那些有情绪挑战的人的优势较少(P<.001),更多挑战(P<.001),和更多的需求(P<.001),随着情绪(P<.001)和健康相关行为领域概念集群的优势减少,睡眠(P=0.002),营养(P<.001),和锻炼(P<.001)。弹性被操作为SOST概念的优势之间的相关性,并为有/没有情绪挑战的参与者可视化。那些没有情绪挑战的人在多个概念/领域具有更多的正强度相关性。
结论:这项调查研究探索了一个由社区生成的大型数据集,以了解整个人的健康状况,并显示了有/没有情绪挑战的参与者在SCN和弹性方面的组间差异。它有助于有关应用辅助和数据驱动的方法来实现整个人的健康和韧性的文献。这项研究展示了健康信息学的力量,并为研究人员提供了一种数据驱动的方法,用于其他研究,以建立关于整个人的健康和弹性的证据。
BACKGROUND: The COVID-19 pandemic has prompted an interest in whole-person health and emotional well-being. Informatics solutions through user-friendly tools such as mobile health apps offer immense value. Prior research developed a consumer-facing app MyStrengths + MyHealth using Simplified Omaha System Terms (SOST) to assess whole-person health. The MyStrengths + MyHealth app assesses strengths, challenges, and needs (SCN) for 42 concepts across four domains (My Living, My Mind and Networks, My Body, My Self-care; eg, Income, Emotions, Pain, and Nutrition, respectively). Given that emotional well-being was a predominant concern during the COVID-19 pandemic, we sought to understand whole-person health for participants with/without Emotions challenges.
OBJECTIVE: This study aims to use visualization techniques and data from attendees at a Midwest state fair to examine SCN overall and by groups with/without Emotions challenges, and to explore the resilience of participants.
METHODS: This cross-sectional and descriptive correlational study surveyed adult attendees at a 2021 Midwest state fair. Data were visualized using Excel and analyzed using descriptive and inferential statistics using SPSS.
RESULTS: The study participants (N=182) were primarily female (n=123, 67.6%), aged ≥45 years (n=112, 61.5%), White (n=154, 84.6%), and non-Hispanic (n=177, 97.3%). Compared to those without Emotions challenges, those with Emotions challenges were aged 18-44 (P<.001) years, more often female (P=.02), and not married (P=.01). Overall, participants had more strengths (mean 28.6, SD 10.5) than challenges (mean 12, SD 7.5) and needs (mean 4.2, SD 7.5). The most frequent needs were in Emotions, Nutrition, Income, Sleeping, and Exercising. Compared to those without Emotions challenges, those with Emotions challenges had fewer strengths (P<.001), more challenges (P<.001), and more needs (P<.001), along with fewer strengths for Emotions (P<.001) and for the cluster of health-related behaviors domain concepts, Sleeping (P=.002), Nutrition (P<.001), and Exercising (P<.001). Resilience was operationalized as correlations among strengths for SOST concepts and visualized for participants with/without an Emotions challenge. Those without Emotions challenges had more positive strengths correlations across multiple concepts/domains.
CONCLUSIONS: This survey study explored a large community-generated data set to understand whole-person health and showed between-group differences in SCN and resilience for participants with/without Emotions challenges. It contributes to the literature regarding an app-aided and data-driven approach to whole-person health and resilience. This research demonstrates the power of health informatics and provides researchers with a data-driven methodology for additional studies to build evidence on whole-person health and resilience.