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老年人电子健康素养及影响因素
引用本文:李少杰, 徐慧兰, 崔光辉. 老年人电子健康素养及影响因素[J]. 中华疾病控制杂志, 2019, 23(11): 1318-1322. doi: 10.16462/j.cnki.zhjbkz.2019.11.004
作者姓名:李少杰  徐慧兰  崔光辉
作者单位:1.410078 长沙, 中南大学湘雅公共卫生学院社会医学与卫生事业管理学系;;2.250355 济南, 山东中医药大学针灸推拿学院
基金项目:国家重点研发计划2017YFC1601605
摘    要: 目的  调查老年人电子健康素养及影响因素。 方法  从济南市随机抽取24个社区,采用电子健康素养量表调查1 201名老年人。采用χ2检验进行单因素分析,使用Logistic回归分析模型进行多因素分析。 结果  1 201名老年人电子健康素养合格率11.1%。多因素分析显示,小学及以下受教育程度(OR=4.50,95% CI:1.924~10.530,P=0.001)、家庭养老(OR=3.08,95% CI:1.326~7.165,P=0.009)、自评健康较差(OR=2.12,95% CI:1.022~4.406,P=0.044)、自评生活压力较大(OR=4.09,95% CI:1.686~9.938,P=0.002)是老年人电子健康素养的危险因素;城镇户籍(OR=0.52,95% CI:0.337~0.815,P=0.004)、照顾孙子女以本人为主(OR=0.43,95% CI:0.273~0.682,P < 0.001)、城市基本医保/新农合医保(OR=0.22,95% CI:0.047~0.998,P=0.05)、商业性医保(OR=0.10,95% CI:0.019~0.552,P=0.008)、父母健在(OR=0.44,95% CI:0.264~0.719,P=0.001)是老年人电子健康素养的保护因素。 结论  户籍类型、受教育程度、医疗保险类型、照顾孙子女方式、养老方式、自评健康状况、父母健在情况、自评生活压力是老年人电子健康素养的影响因素。

关 键 词:老年人   电子健康素养   健康教育   影响因素
收稿时间:2019-07-08
修稿时间:2019-10-02

Analysis of eHealth literacy and its influencing factors among the elderly
LI Shao-jie, XU Hui-lan, CUI Guang-hui. Analysis of eHealth literacy and its influencing factors among the elderly[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(11): 1318-1322. doi: 10.16462/j.cnki.zhjbkz.2019.11.004
Authors:LI Shao-jie  XU Hui-lan  CUI Guang-hui
Affiliation:1. Department of Social Medicine and Health Service Management, Xiangya School of Public Health, Central South University, Changsha 410078, China;;2. School of Acupuncture and Tuina, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
Abstract:  Objective  To investigate the current status and influencing factors associated with the health literacy of the elderly.  Methods  24 communities were randomly selected from Jinan City, and 1 201 elderly people were surveyed by the eHealth literacy scale. Univariate analysis was performed using the Chi-square test and multivariate analysis was performed using binary Logistic regression.  Results  The qualification rate of eHealth literacy among 1 201 older adults was 11.1%. Multivariate analysis showed that primary school education and below (OR=4.50, 95% CI: 1.924-10.530, P=0.001), family pension (OR=3.08, 95% CI: 1.326-7.165, P=0.009), poor self-rated health (OR=2.12, 95% CI: 1.022-4.406, P=0.044), great self-rated life pressure (OR=4.09, 95% CI: 1.686-9.938, P=0.002) were risk factors for eHealth literacy in the elderly; urban household registration (OR=0.52, 95% CI: 0.337-0.815, P=0.004), the main person to taking care of grandchildren (OR=0.43, 95% CI: 0.273-0.682, P < 0.001), urban basic medical insurance or NCMS medical insurance (OR=0.22, 95% CI: 0.047-0.998, P=0.05), commercial medical insurance (OR=0.10, 95% CI: 0.019-0.552, P=0.008) and the parents being alive (OR=0.44, 95% CI: 0.264-0.719, P=0.001) were protective factors for the elderly eHealth literacy.  Conclusion  The type of household registration, the level of education, the type of medical insurance, the way of caring for grandchildren, the way of providing for the elderly, the self-rated of health status, with the parents being alive, and the self-rated life pressure are the influencing factors of the eHealth literacy of the elderly.
Keywords:Elderly  eHealth literacy  Health education  Influencing factors
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