Association of eHealth literacy with colorectal cancer knowledge and screening practice among internet users in Japan.
Association of eHealth literacy with colorectal cancer knowledge and screening practice among internet users in Japan.
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DOI：
10.2196/jmir.1927
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发表时间：
2012-11-13
影响因子：
7.4
通讯作者：
Oka K
中科院分区：
文献类型：
--
作者：
Mitsutake S;Shibata A;Ishii K;Oka K
在快速发展的互联网用户社会中，电子健康素养对于促进健康变得重要。尽管之前的研究发现，健康素养较差与结直肠癌 (CRC) 知识和筛查实践较少有关，但人们对电子健康素养是否与这些变量相关尚知之甚少。本研究探讨了电子健康素养、CRC 知识和 CRC 筛查实践之间的关联。对 2970 名日本成年人（男性，49.9%；平均年龄 ± SD，39.7 ± 10.9 岁）的数据进行了分析，他们对一项基于互联网的横断面调查做出了回应。了解 CRC 的定义、其危险因素和筛查实践、之前的 CRC 筛查经验、日本版 eHEALS (J-eHEALS) 得分、社会人口特征（性别、年龄、婚姻状况、教育程度和家庭收入水平）以及互联网使用频率。社会人口特征和互联网使用频率被用作多元回归和逻辑回归模型中的控制变量。当电子医疗素养和 CRC 知识的协变量均用于多元回归模型时，电子医疗素养与 CRC 知识呈正相关（β = .116，< .001）。此外，在控制了与电子健康素养和结直肠癌筛查实践显着相关的社会人口统计学因素后，eHEALS 评分增加 1 分意味着参与者接受结直肠癌筛查的可能性增加了 1.03 倍 (95% CI = 1.01–1.05)。与电子健康素养较低的互联网用户相比，电子健康素养较高的互联网用户更有可能拥有与结直肠癌相关的知识和先前的筛查实践。
In rapidly developing Internet-user societies, eHealth literacy has become important in promoting wellness. Although previous studies have observed that poor health literacy is associated with less knowledge and screening practice of colorectal cancer (CRC), little is known about whether eHealth literacy is associated with these variables. The present study examined associations between eHealth literacy, knowledge of CRC, and CRC screening practices. Data were analyzed for 2970 Japanese adults (men, 49.9%; mean age ± SD, 39.7 ± 10.9 years) who responded to an Internet-based cross-sectional survey. Knowledge of the definition of CRC, its risk factors and screening practice, previous experience of CRC screening, score on the Japanese version of the eHEALS (J-eHEALS), sociodemographic attributes (sex, age, marital status, educational attainment, and household income level), and frequency of Internet usage were obtained. Sociodemographic attributes and frequency of Internet usage were used as control variables in the multiple regression and logistic regression models. eHealth literacy was positively associated with CRC knowledge (β = .116, < .001), when the covariables of both eHealth literacy and CRC knowledge were used in the multiple regression model. Moreover, after controlling for sociodemographic factors, which were significantly associated with eHealth literacy and CRC screening practice, an increase of 1 point in the eHEALS score signified that participants were 1.03 times (95% CI = 1.01–1.05) more likely to undergo CRC screening. Internet users with high eHealth literacy are more likely to have knowledge and previous screening practice related to CRC compared to those with low eHealth literacy.