Meadowbrooke Chrysta C, Veinot Tiffany C, Loveluck Jimena, Hickok Andrew, Bauermeister José A
School of Information, University of Michigan, 4429 North Quad, 105 South State Street, Ann Arbor, MI 48109-1285.
HIV/AIDS Resource Center, 3075 Clark Road, Suite 203, Ypsilanti, MI 48197.
J Assoc Inf Sci Technol. 2014 Mar;65(3):609-620. doi: 10.1002/asi.23001.
Health research shows that knowing about health risks may not translate into behavior change. However, such research typically operationalizes health information acquisition with knowledge tests. Information scientists who investigate socially embedded information behaviors could help improve understanding of potential associations between information behavior-as opposed to knowledge-and health behavior formation, thus providing new opportunities to investigate the effects of health information. We examine the associations between information behavior and HIV testing intentions among young men who have sex with men (YMSM), a group with high rates of unrecognized HIV infection. We used the theory of planned behavior (TPB) to predict intentions to seek HIV testing in an online sample of 163 YMSM. Multiple regression and recursive path analysis were used to test two models: (a) the basic TPB model and (b) an adapted model that added the direct effects of three information behaviors (information exposure, use of information to make HIV-testing decisions, prior experience obtaining an HIV test) plus self-rated HIV knowledge. As hypothesized, our adapted model improved predictions, explaining more than twice as much variance as the original TPB model. The results suggest that information behaviors may be more important predictors of health behavior intentions than previously acknowledged.
健康研究表明,了解健康风险可能并不会转化为行为改变。然而,此类研究通常通过知识测试来对健康信息获取进行操作化。研究社会嵌入信息行为的信息科学家有助于增进对信息行为(而非知识)与健康行为形成之间潜在关联的理解,从而为研究健康信息的影响提供新机会。我们研究了男男性行为者(YMSM)中信息行为与HIV检测意愿之间的关联,这一群体中未被识别的HIV感染率很高。我们运用计划行为理论(TPB)来预测163名YMSM在线样本中寻求HIV检测的意愿。采用多元回归和递归路径分析来检验两个模型:(a)基本的TPB模型和(b)一个改进模型,该模型增加了三种信息行为(信息接触、利用信息做出HIV检测决定、之前的HIV检测经历)以及自我评估的HIV知识的直接影响。正如所假设的那样,我们的改进模型提高了预测能力,解释的方差比原始TPB模型多出两倍多。结果表明,信息行为可能是比之前所认识到的更重要的健康行为意愿预测因素。