Warner Echo L, Wilson Andrew, Ellington Lee, Sun Ye, Cloyes Kristin G, Waters Austin R, Nelson Taylor, Kirchhoff Anne C
Cancer Control and Population Sciences Research Program, Huntsman Cancer Institute, Salt Lake City, Utah, USA.
College of Nursing, University of Utah, Salt Lake City, Utah, USA.
J Psychosoc Oncol. 2022;40(6):808-815. doi: 10.1080/07347332.2021.1968987. Epub 2021 Aug 31.
To determine how social media platform and cancer content is associated with the presence of social support in responses to young adult cancer caregivers' (YACC) posts.
We retrospectively collected YACC's Facebook and/or Instagram posts and all responses from the first six months of caregiving.
Eligible YACC were 18-39, caring for a cancer patient diagnosed 6 months-5 years prior, spoke English, and used social media weekly.
Social media posts and responses were manually coded for five social support types, then transformed to depict the proportion of responses per post representing each type of support. Using mixed-effects models, we compared the distributions of responses with social support types by platform (Facebook vs. Instagram) and cancer content (no vs. yes).
More responses contained emotional support on Instagram than Facebook (B = 0.25, Standard Error (SE)=0.09, p = 0.007). More responses with cancer content contained -validation support (B = 0.20, SE = 0.07, p = 0.002), but fewer contained emotional (B=-0.17, SE = 0.07, p = 0.02) and instrumental support (B=-0.06, SE = 0.02, p = 0.001) than posts without cancer content.
Studying the responsiveness of social media followers by platform and cancer content provides a foundation for intervention development.
Emphasizing the suitability of different social media platforms for particular support seeking behaviors is essential.
确定社交媒体平台及癌症相关内容与年轻成年癌症护理者（YACC）帖子回应中社会支持的存在如何相关。
我们回顾性收集了YACC在脸书和/或照片墙的帖子以及护理最初六个月内的所有回应。
符合条件的YACC年龄在18 - 39岁之间，照顾6个月至5年前被诊断出癌症的患者，说英语，且每周使用社交媒体。
对社交媒体帖子及回应进行人工编码，分为五种社会支持类型，然后转化以描述每个帖子中代表每种支持类型的回应比例。使用混合效应模型，我们比较了不同平台（脸书与照片墙）和癌症相关内容（无与有）的回应与社会支持类型的分布情况。
照片墙上包含情感支持的回应比脸书上更多（B = 0.25，标准误（SE）= 0.09，p = 0.007）。有癌症相关内容的回应中包含确认支持的更多（B = 0.20，SE = 0.07，p = 0.002），但与无癌症相关内容的帖子相比，包含情感支持（B = -0.17，SE = 0.07，p = 0.02）和工具性支持（B = -0.06，SE = 0.02，p = 0.001）的更少。
按平台和癌症相关内容研究社交媒体关注者的反应性为干预发展提供了基础。
强调不同社交媒体平台对特定求助行为的适用性至关重要。
