Kent de Grey Robert G, Uchino Bert N, Baucom Brian Rw, Smith Timothy W, Holton Avery E, Diener Edward F
Department of Psychology, Consortium for Families & Health Research, The University of Utah, Salt Lake City, UT, USA.
Department of Communication, The University of Utah, Salt Lake City, UT, USA.
Digit Health. 2019 Sep 23;5:2055207619878351. doi: 10.1177/2055207619878351. eCollection 2019 Jan-Dec.
Interpersonal positivity and negativity are separable dimensions both recognized as having important effects on health. Though online social interactions and research examining them are increasingly common, no validated instrument has heretofore been developed to examine social support and social negativity specifically in online contexts. The present studies describe the development and validation of the Online Social Experiences Measure (OSEM) to allow for assessment of online social positivity and negativity simultaneously.
In Study I, responses to a potential item pool were collected from participants ( = 557), who were then subdivided into two groups for the purposes of cross-validation via exploratory and confirmatory factor analyses. Results suggested the emergence of two factors: online social support (OSEM+ subscale) and online social negativity (OSEM- subscale). Across Studies I and II ( = 139), the OSEM showed good convergent and discriminant validity, and both subscales had high internal consistency. Study II included an ambulatory cardiovascular assessment and found the OSEM- subscale to be predictive of elevated diastolic blood pressure and heart rate. The OSEM+ subscale was predictive of more favorable cardiovascular readings for some types of participants (e.g. those with a greater number of online-only social ties).
Overall, results suggest online social positivity and negativity may have implications for physical health, and that the OSEM may be a useful tool in understanding online social processes.
人际间的积极和消极是可分离的维度,二者均被认为对健康有重要影响。尽管在线社交互动以及对其进行研究的情况越来越普遍,但此前尚未开发出经过验证的工具来专门考察在线环境中的社会支持和社会消极方面。本研究描述了在线社交体验量表(OSEM)的开发与验证过程,以便能够同时评估在线社交的积极和消极方面。
在研究I中,从参与者(n = 557)那里收集了对潜在项目池的反应,然后将他们分为两组,通过探索性和验证性因素分析进行交叉验证。结果表明出现了两个因素:在线社会支持(OSEM+子量表)和在线社会消极(OSEM-子量表)。在研究I和研究II(n = 139)中,OSEM显示出良好的收敛效度和区分效度,且两个子量表都具有较高的内部一致性。研究II包括一项动态心血管评估,发现OSEM-子量表可预测舒张压和心率升高。OSEM+子量表对于某些类型的参与者(例如那些仅拥有较多在线社交关系的人)可预测更有利的心血管读数。
总体而言,结果表明在线社交的积极和消极方面可能对身体健康有影响,并且OSEM可能是理解在线社交过程的有用工具。