@Article{信息:doi 10.2196 / / jmir。5413，作者=“光武，Seigo和Shibata, Ai和Ishii, Kaori和Oka, Koichiro”，标题=“成人互联网用户的电子健康素养与健康行为的关系”，期刊=“J医学互联网研究”，年=“2016”，月=“7月”，日=“18”，卷=“18”，数=“7”，页=“e192”，关键词=“健康素养;电子健康素养;epatients;互联网;健康行为;背景:在互联网飞速发展的社会中，电子健康素养——掌握利用互联网上健康信息的技能——已成为促进健康行为的重要前提。然而，在成年互联网用户的代表性样本中，电子健康素养是否与健康行为相关尚不清楚。目的:本研究旨在调查日本成年互联网用户的电子健康素养与一般健康行为(吸烟、体育锻炼、饮酒、睡眠时间、吃早餐、餐间进食和均衡营养)之间的关系。方法:参与者是从一家日本互联网研究服务公司的注册者中招募的，并被要求在2012年回答一项基于互联网的横断面调查。 The potential respondents (N=10,178) were randomly and blindly invited via email from the registrants in accordance with the set sample size and other attributes. eHealth literacy was assessed using the Japanese version of the eHealth Literacy Scale. The self-reported health behaviors investigated included never smoking cigarettes, physical exercise, alcohol consumption, sleeping hours, eating breakfast, not eating between meals, and balanced nutrition. We obtained details of sociodemographic attributes (sex, age, marital status, educational attainment, and household income level) and frequency of conducting Internet searches. To determine the association of each health behavior with eHealth literacy, we performed a logistic regression analysis; we adjusted for sociodemographic attributes and frequency of Internet searching as well as for other health behaviors that were statistically significant with respect to eHealth literacy in univariate analyses. Results: We analyzed the data of 2115 adults (response rate: 24.04{\%}, 2142/10,178; male: 49.74{\%}, 1052/2115; age: mean 39.7, SD 10.9 years) who responded to the survey. Logistic regression analysis showed that individuals with high eHealth literacy were significantly more likely to exhibit the good health behaviors of physical exercise (adjusted odds ratio [AOR] 1.377, 95{\%} CI 1.131-1.678) and eating a balanced diet (AOR 1.572, 95{\%} CI 1.274-1.940) than individuals with low eHealth literacy. Conclusions: We found that some health behaviors, including exercise and balanced nutrition, were independently associated with eHealth literacy among Japanese adult Internet users. ", issn="1438-8871", doi="10.2196/jmir.5413", url="//www.mybigtv.com/2016/7/e192/", url="https://doi.org/10.2196/jmir.5413", url="http://www.ncbi.nlm.nih.gov/pubmed/27432783" }