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研究生: 何志鴻
Ho, Chinh-Hung
論文名稱: 中高齡者使用網際網路搜尋健康資訊行為之探討-網路社會資本、網路自我效能及網路健康素養的角色
Exploring Internet health information-seeking behavior of middle-aged and elderly population: The role of online social capital, Internet self-efficacy and eHEALS
指導教授: 胡益進
Hu, Yih-Jin
口試委員: 陳政友
Chen, Cheng-Yu
李世代
Lee, Shydye
劉潔心
Liu, Chieh-Hsing
張鳳琴
Chang, Fong-Ching
胡益進
Hu, Yih-Jin
口試日期: 2021/07/26
學位類別: 博士
Doctor
系所名稱: 健康促進與衛生教育學系
Department of Health Promotion and Health Education
論文出版年: 2021
畢業學年度: 109
語文別: 中文
論文頁數: 145
中文關鍵詞: 網路健康素養網路社會資本網路自我效能網路健康資訊搜尋行為中高齡者
英文關鍵詞: eHEALS, online social capital, Internet self-efficacy, online health information seeking behavior, middle aged and elderly
研究方法: 調查研究
DOI URL: http://doi.org/10.6345/NTNU202101401
論文種類: 學術論文
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  • 本論文在探討中高齡者使用網路搜尋健康行為的影響因素。本研究為橫斷式相關研究設計,於台灣地區採以隨機分布比例分區抽樣,以結構式問卷透過訪視進行資料收集。本研究時間為2018年7月至12月,共完成600份問卷調查,有效問卷為558份,資料分析以SSPS 22.0統計軟體分析。研究結果發現:
    一、本研究對象在年齡越低,且其網路社會資本、網路自我效能及網路健康素養得分愈高,其網路健康資訊搜尋行為得分有顯著愈高。
    二、本研究對象的社會人口特性變項在教育程度、上網經驗、有網路社群使用、有網路即時通使用、有網路即時通加入等變項及網路社會資本、網路自我效能與網路健康素養等變項皆為影響其網路健康資訊搜尋行為的顯著因素。
    根據研究結果,衛生教育者對中高齡者提供網路相關健康促進活動時,應著重其網路健康素養與網路自我效能以強化對網路使用及網路健康資訊辨識能力,並藉由網路社群作為健康資訊討論與資訊交換平台,提升網路健康資訊搜尋能力。

    A procedure is to explore the influencing factors of middle-aged and elderly people’s use of the Internet to search for health information behaviors. This research is a cross-sectional related research design. Random distribution proportions are used for sampling in Taiwan, and data is collected through interviews with structured questionnaires. The study time was from July to December 2018. A total of 600 questionnaires were completed, and 558 valid questionnaires were completed. The data was analyzed by SSPS 22.0 statical software. The results demonstrated:
    1. The lower the age of this research objects, and the higher the scores of online social capital, Internet self-efficacy and eHEALS, the higher their online health information seeking behavior scores were significantly higher.
    2. The socio-demographic variables of this research objects are in term of education level, online experience, use of the Internet community, use of Internet instant messaging, Internet instant messaging access, and other variables, as well as online social capital, Internet self-efficacy, and eHEALS are all significant factors affecting their online health information seeking behavior.
    According to the research results, when health educators provide Internet-related health promotion activites to middle-aged and elderly people, they should focus on their eHEALS and Internet self-efficacy to strengthen their ability to recognize Internet use and Internet health information. The community serves as a health information discussion and information exchange platform to enhance the ability of online health information search.

    第一章 緒論1 第一節 研究動機與重要性1 第二節 研究目的4 第三節 研究問題5 第四節 研究假設5 第五節 操作型定義6 第六節 研究限制9 第二章 文獻探討10 第一節 網路健康資訊搜尋行為10 第二節 影響網路健康資訊搜尋行為的網路社群19 第三節 影響網路健康資訊搜尋行為的內在因素27 第四節 網路健康資訊搜尋行為相關影響的實證研究33 第三章 研究方法41 第一節 研究架構41 第二節 研究對象43 第三節 研究工具45 第四節 研究步驟51 第五節 資料分析與處理53 第四章 研究結果56 第一節 研究對象的社會人口學特性56 第二節 研究對象社會人口學特性與網路社會資本關係63 第三節 研究對象社會人口學特性與網路自我效能關係70 第四節 研究對象社會人口學特性與網路健康素養關係77 第五節 研究對象社會人口學特性與網路健康資訊搜尋行為關係83 第六節 研究對象網路健康資訊搜尋行為相關因素探討90 第七節 研究對象網路健康資訊搜尋行為的影響因子91 第五章 討論 100 第一節 研究對象的人口學特性100 第二節 研究對象社會人口學特性與線上社會資本關係103 第三節 研究對象社會人口學特性與網路自我效能關係106 第四節 研究對象社會人口學特性與網路健康素養關係109 第五節 網路健康資訊搜尋行為相關因素分析 113 第六章 結論與建議119 第一節 結論119 第二節 建議120 參考書目122 附錄 施測問卷142

    一、中文部分
    內政部戶政司(2021)。人口統計資料。http://ris.gov.tw/app/portal/346
    吳淑鶯、陳瑞和(2005)。網路涉入影響因素、涉入程度與上網態度及行為之研究¬¬—以台灣大專學生為例。中華管理評論國際學報,8(4), 1-37。
    吳明隆、涂金堂(2005)。SPSS與統計應用分析(二版)。台北市:五南。
    林奇秀、陳一帆(2011)。淺析網路社群知識分享實證研究如何構思社會資本概念。圖書資訊學刊,9(2), 55-89。
    林明璇(1998)。電腦態度之性別差異:以資訊化的元智校園為例(未出版碩士論文)。元智大學資訊社會學研究所,桃園市。
    林珊如(2002)。網路使用者特性與資訊行為研究趨勢之探討。圖書資訊學刊,17,35-47。
    邱弘毅、王英偉、熊昭(2021)。2017「國民健康訪問調查」結果報告。竹南鎮:國家衛生研究院。http://www.hpa.gov.tw/Pages/Detail.aspx?nodeid=364&pid=13636
    洪榮昌(2019)。善用e化學習—高齡者終身學習的利器。臺灣教育評論月刊,8(11),77-80。
    紀玫如(2003)。中老年人健康素養調查研究與介入模式探討。行政院國家科學委員會補助專題研究計畫(NSC 102-2410-H-038-002-SSS)。臺北市,台北醫學大學高齡健康管理系。
    唐睿誼(2017)。社區活耀中老年人健康是能與中醫識能之探討(未出版碩士論文)。義守大學醫務管理學系,臺中市。
    孫碧鮫(2013)。社區成人健康素養及其相關因素探討—以台中市南屯區為例(未出版碩士論文)。中臺科技大學護理研究所,臺中市。
    國立政治大學統計系(2017)。2017年台灣寬頻網路使用調查報告。財團法人台灣網路資訊中心。https://www.twnic.net.tw/doc/twrp/20170721e.pdf
    陳怡穎、邱銘心(2018)。未婚中年婦女健康知多少?網路健康資訊行為與健康促進生活型態之研究。圖書資訊學研究,12(2),111-159。
    麥孟生(2000)。個人心理類型、自我效能及態度對電腦學習成效之影響(未出版碩士論文)。國立中央大學資訊管理研究所,桃園市。
    傅仰止(2005)。社會資本的概念化與運作:論家人重疊網絡中的「時間投資」機制。台灣社會學,9,165-203。
    黃誌坤(2012)。「不要叫我數位文盲!」¬—老人上網經驗之優勢觀點分析。高雄師大學報,32,135-158。
    黃誌坤、王明鳳(2009)。高齡者上網環境友善情形之調查研究。社區發展季刊,125,485-504。
    黃誌坤、陳啓勳、王明鳳(2010)。老人教育入口網站之建構。屏東教育大學學報,135,91-124。
    劉依亭、黃如薏、林友菁、洪暐傑、林季緯(2017)。健康識能與初診斷糖尿病病人照護成效初探。台灣家庭醫學雜誌,27,201-212。
    樊台聖、李一靜、蔡翌潔(2011)。資訊教育領域的性別差異。商管科技季刊,12(3),315-341。
    鄭惠玲、江東亮(2002)。臺灣的社會資本與自評健康。台灣公共衛生雜誌,21(4),289-295。
    魏世華(2000)。教育學程對電腦態度及電腦素養之研究(未出版碩士論文)。國立中央大學資訊管理研究所,桃園市。
    魏米秀、洪文綺(2010)。都市與偏遠社區成人的健康資訊尋求經驗:焦點團體訪談結果。健康促進與衛生教育學報,34,93-114。 
    二、英文部分
    Adler, P. S., Kwon, S. (2002). Social capital: prospects for a new concept. The Academy of Management Review, 27(1), 17-40.
    Agarwal, G., Habing, K., Pirrie, M., Angeles, R., Marzanek, F., & Parascandalo, J. (2108). Assessing health literacy among older adults living in subsidized housing: a cross-section study. Canadian Journal of Public Health, 109(3): 401-409. doi:10.17269/s41997-018-0048-3
    Amoah, P. A. (2018). Social participation, health literacy, and health and well-being: A cross-sectional study in Ghana. SSM-Population Health, 4, 263-270.
    Anker, A. E., Reinhart, A. M., & Feeley, T. H. (2011). Health information seeking: A review of measures and methods. Patient Education and Counseling, 82(3), 346-354. doi:10.1016/j.pec.2010.12.008
    Arcury, T. A., Sandberg, J. C., Melius, K. P., Quandt, S. A., Leng, X., Latulipe, C., Miller Jr., D. P., Smith, D. A.,& Bertoni, A. G. (2018). Older adult Internet use and eHealth literacy. Journal of Applied Gerontology,1-20.
    Arthur, J. R. (1983). Robust trend tests derived and simulated: Analogs of the Welch and Brown-Forsythe tests. Journal of the American Statistical Association, 78(384), 972-980. doi:10.1080/01621459.1983.10477048
    Bandalos, D. L. & Finney, S. J. (2010). Factor analysis: Exploratory and confirmatory. In: Hancock, G. R. & Mueller, R. O., editors. Quantitative methods in the social and behavioral sciences: A guide for researchers and reviewers. New York: Routledge.
    Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84, 191-215.
    Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122-147.
    Bandura, A. (1986). Social foundations of thought and action: a social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.
    Bandura, A. (1996). Multifaceted impact of self-efficacy beliefs on academic functioning. Child Development, 67(3), 387-400.
    Bandura, A. (1997). Self-efficacy: The exercise of control. Freeman. New York, NY.
    Beck, F., Richard, J. B., Nguyen-Thanh, V., Montagni, I., Parizot, I., & Renahy, E. (2014). Use of the Internet as a health information resource among French young adults: Results from a nationally representative survey. Journal of Medical Internet Research, 16(5), e128. doi:10.2196/jmir.2934
    Best, S. J. & Krueger, B. S. (2006). Online interaction and social capital : Distinguishing between new and existing ties. Social Science Computer Review, 24(4), 395-410.
    Bong, M., & Skaalvik, E. M. (2003). Academic self-concept and self-efficacy: How different are they really? Educational Psychology Review, 15, 1-40.
    Bostock, S., & Steptoe, A. (2012). Association between low functional health literacy and mortality in older adults: longitudinal cohort study. BMJ, 344. doi:10.1136/bmj.e1602
    Bourdieu, P. (1986). The forms of capital. In J. G. Richardson (Ed.), Handbook of theory and research for the sociology of education (pp. 241-258). New York, NY: Greenwood Press.
    Broom, A. & Tovey, P. (2008). The role of the Internet in cancer patients’ engagement with complementary and alternative treatments. Health: An Interdisciplinary Journal for the Social Study of Health Illness and Medicine, 12(2), 139-155.
    Brundidge, J. & Rice, R. (2009). Political engagement online: Do information rich get richer and the like-minded more similar. In A. Chadwick & P. N. Howard (Eds.), Routledge handbook of internet politics (pp. 144-156). New York, NY: Taylor & Francis.
    Bryman, A. & Cramer, D. (1997). Quantitative data analysis with SPSS for Windows: A guide for social scientists. Routledge, London.
    Burt, R. S. (1992). Structural holes: The social structure of competition. New York, NY: Cambridge University Press.
    Chan, C. V. & Kaufman, D. R. (2011). A framework for characterizing eHealth literacy demands and barriers. Journal of Medical Internet Research, 13(4), e94. Doi:10.2196/jmir.1750.
    Chiu, C.-M., Hsu, M.-H., & Wang, E. T. G. (2006). Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories. Decision Support Systems, 42, 1872-1888.
    Choi, N., & DiNitto, D. (2013). The digital divide among lowincome homebound older adults: Internet use patterns, eHealth literacy, and attitudes toward computer/Internet use. Journal of Medical Internet Research, 15, e93. doi:10.2196/jmir.2645.
    Chuang, S. C., Lin, F. M., & Tsai, C. C. (2015). An exploration of the relationship between Internet self-efficacy and sources of Internet self-efficacy among Taiwanese university students. Computers in Human Behavior, 48, 147-155. doi:10.1016/j.chb.2015.01.044
    Chung, S.-Y. & Nahm, E.-S. (2015). Testing reliability and validity of the eHealth literacy scale (eHEALS) for older adults recruited online. Computers Informatics Nursing, 33(4), 150-156. doi:10.1097/CIN.0000000000000146
    Cline, R. J. W., & Haynes, K. M. (2001). Consumer health information seeking on the Internet: the state of the art. Health Education Research, 16(6), 671-692. doi:10.1093/her/16.6.671
    Coleman, J. S. (1988). Social capital in the creation of human capital. The American Journal of Sociology, 94, s95-s120.
    Coll-Planas, L., Blancafort, S., Rojano, X., Roqué, M.,& Monteserín, R. (2018). Promoting self-management, health literacy and social capital to reduce health inequalities in older adults living in urban disadvantaged areas: protocol of the randomized controlled trial AEQUALIS. BMC Public Health, 18,345.
    Compeau, D. R. & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-211.
    Cotten, S. R., & Gupta, S. S. (2004). Characteristics of online and offlinehealth information seekers and factors that discriminate between them. Social Science & Medicine, 59, 1795-1806.
    Cutilli, C. C., Simko, L. C., Collert, A. M., & Bennett, I. M. (2018). Health literacy, health disparities, and sources of health information in U.S. older adults. Orthopaedic Nursing, 37(1), 54-65.
    Dawkins-Moultin, L., McDonald, A., & Mckyer, L. (2016). Integrating the principle of socioecology and critical pedagogy for health promotion health literacy intervention. Journal of Health Communication, 21, 30-35.
    DeSalvo, K. B., Bloser, N., Reynolds, K., He, J., & Muntner, P. (2006). Mortality prediction with a single general self-rated health question. A meta-analysis. Journal of General Internal Medicine, 21(3), 267-275. doi:10.1111/j.1525-1497.2005.00291x
    Diener, E. (1984). Subjective well-being. Psychological Bulletin, 95(3), 542-575.
    DiMaggio, P., Hargittai, E., Neuman, W. R., & Robinson, J. P. (2001). Social implications of the Internet. Annual Review of Sociology, 27, 307-337.
    Ellison, N., Lampe, C., Steinfield, C., & Vitak, J. (2010). With a little help from my friends: How social network sites affect social capital processes. In Papacharissi, Z. (Ed.) The networked self: Identity, community, and culture on social network site (in press). New York: Routledge.
    Eysenbach, G. & Köhler, C. (2002). How do consumers search for and appraise health information on the World Wide Web? Qualitative study using focus groups, usability test, and in-depth interviews. British Medical Journal, 324(7337), 573-577.
    Falk, I. (2001). Literacy by design, not by default: Social capital’s role in literacy learning. Journal of Research in Reading, 24(3), 313-323.
    Fan, T. S. & Li, Y. C. (2005). Gender issues and computers: College compter science education in Taiwan, Computers & Education, 44(3), 285-300.
    Farr, J. (2004). Social capital: a conceptual history. Political Theory, 32(1), 6-33.
    Feng, Y., & Xie, W. (2015). Digital divide 2.0: The role of social networking sites in seeking health information online from a longitudinal perspective. Journal of Health Communication, 20, 60-68.
    Fox, J. & Gershman (2000). The World Bank and social capital: Lessons from ten rural development projects in the Philippines and Mexico. Policy Sciences, 33, 399-419.
    Geboers, B., Reijneveld, S. A., Jansen, C. J. M., & deWinter, A. F. (2016). Health literacy is associated with health behaviors and social factors among older adults: Results from the lifelines cohort study. Journal of Health Communication, 21, 45-53.
    Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis. 6th ed. NJ: Prentice Hall.
    Hall, A. K., Bernhardt, J. M., & Dodd, V. (2015). Older adults’ use of online and offline sources of health information and construsts of reliance and self-efficacy for medical decision making. Journal of Health Communication, 20, 751-758.
    Hargittai, E., Piper, A. M., & Morris, M. R. (2018). From internet access to internet skills: digital inequality among older adults. Universal Access in the Information Society. 1-10.
    Heidemann, J., Klier, M., & Probst, F. (2012). Online social networks: a survey of a global phenomenon. Computer Networks, 56, 3866-3878.
    Hill, J. R. & Hannafin, M. J. (1997). Cognitive strategies and learning from the World Wide Web. Educational Technology Research and Development, 45, 37-64.
    Hofer, M. & Aubert, V. (2013). Perceived bridging and bonding social capital on Twitter: differentiating between followers and followees. Computers in Human Behavior, 29, 2134-2142.
    Hong, Y. A., & Cho, J. (2017). Has the digital health divide widened? Trends of health-related internet use among older adults from 2003 to 2011. Journals of Gerontology: Social Sciences, 72(5), 856-863.
    Howard, P. E., Rainie, L., & Jones, S. (2001). Days and nights on the Internet: The impact of a diffusing technology. American Behavioral Scientist, 45(3), 383-404.
    Kadushin, C. (2004). Too much investment in social capital? Social Networks, 26, 75-90.
    Kao, C.-P. & Tsai, C.-C. (2009). Teachers’ attitudes toward web-based professional development, with relation to Internet self-efficacy and beliefs about web-based learning. Computer & Education, 53, 66-73.
    Kao, C.-P., Wu, Y.-T., & Tsai, C.-C. (2011). Elementary school teachers’ motivation toward web-based professional development, and the relationship with Internet self-efficacy and belief about web-based learning. Teaching and Teacher Education, 27, 406-415.
    Karnoe, A., & Kayser, L. (2015). How is eHealth literacy measured and what do the measurement tell us? A system review. Knowledge Management & E-learning, 7(4), 576-600.
    Kestnbaum, M., Robinson, J. P., Neustadtl, A., & Alvarez, A. (2002). Information technology and social time displacement. IT & Social, 1(1), 21-37.
    Khorrami-Arani, O. (2001). Researching computer self-efficacy. Internet Education Journal, 2, 17-25.
    Kiesler, S., Kraut, R., Cummings, J., Boneva, B., Helgeson, V., & Crawford, A. (2002). Internet evolution and social impact. IT & Society, 1(1), 120-134.
    Kim, Y. & Glassman, M. (2013). Beyond search and communication: Development and validation of the Internet Self-efficacy Scale (ISS). Computers in Human Behavior, 29(4), 1421-1429.
    Kim, Y.-C., Lim, J. Y., & Park, K. (2015). Effects of health literacy and social capital on health information behavior. Journal of Health Communication, 0, 1-11. doi:10.1080/10810730.2015.1018636
    Kline, R. B. (1988). Methodological considerations in the evaluation of the convergence of psychiatric diagnoses and parent-informant checklist. Joural of Abnormal Child Psychology, 16(3), 289-298.
    Kraut, R., Kiesler, S., Boneva, B., Cummings, J., Helgegson, V., & Crawford, A. (2002). Internet paradox revisited. Journal of Social Issues, 58(1), 49-74.
    Lambert, S. D., & Loiselle, C. G. (2007). Health information—seeking behavior. Qualitative health research, 17(8), 1006-1019. https://journals.sagepub.com/doi/pdf/10.1177/1049732307305199
    LaRose, R., & Eastin, M. S. (2004). A social cognitive explanation of Internet usage: Toward a new theory of media attendance. Journal of Broadcasting and Electronic Media, 48(3), 358-377.
    Lee, S. Y., & Tsai, T. I., Tsai, Y. W., & Kuo, K. N. (2010). Health literacy, health status, and healthcare utilization of Taiwanese adults: results from a national survey. BMC Public Health, 10, 614. doi:10.1186/1471-2458-10-614
    Levin, J. & Chatters, L. M. (1998). Religion. Health, and psychological well-being in older adults: Finding from three national surveys. Journal of Aging Health, 10(4), 504-531. https://doi.org/10.1177/089826439801000406
    Li, G., Yang, X., & Huang, S. (2014). Effects of social capital and community support on online community members’ intention to create use-generated content. Journal of Electronic Commerce Research, 15(3), 190-199.
    Lifshitz, R., Nimrod, G., & Bachner, Y. G. (2018). Internet use and well-being in later life: a functional approach. Aging & Mental Health, 22(1), 85-91.
    Lin, C., Atkin, D. J., Cappotto, C., Davis, C., Dean, C., Eisenbaum, J, … Vidican, S. (2015). Ethnicity, digital divides and uses of the Internet for health information. Computers in Human Behavior, 51, 216-223.
    Lin, H.-C. & Chang, C.-M. (2018).What motivates health information exchange in social media? The roles of the social cognitive theory and perceived interactivity. Information & Management, 56(6), 771-780. https://doi.org/10.1016/j.im.2018.03.006
    Lin, N. (1999). Buildings a network theory of social capital. Connections, 22, 28-51.
    Lin, N. (2001). Social capital: a theory of social structure and social action. Cambridge: Cambridge University Press.
    Lin, Y.-C., Liang, J.-C., Yang, C.-J., & Tsai, C.-C. (2013). Exploring middle-aged and older adults’ sources of Internet self-efficacy: A case study. Computers in Human Behavior, 29, 2733-2743.
    Longo, D. R., Schubert, S. L., Wright, B. A., LeMaster, J., Williams, C. D., & Clore, J. N. (2010). Health information seeking, receipt, and use in Diabetes self-management. Annuals of Family Medicine, 8(4), 334-340.
    Lorsbach, A., & Jinks, J. (1999). Self-efficacy theory and learning environment research. Learning Environments Research, 2, 157-167.
    Mårtensson, L., & Hensing, G. (2012). Health literacy – a heterogeneous phenomenon: A literature review. Scandinavian Journal of Caring Sciences, 26(1), 151-160. https;//doi.org/10.1111/j.1471-6712.2011.00900.x
    Marton, C., & Choo, C. W. (2012). A review of theoretical models of health information seeking on the web. Journal of Documentation, 68(3), 330-352.
    McNeil, L. H., Kreuter, M. W., & Subramanian, S. V. (2006). Social environment and physical activity: A review of concepts and evidence. Social Science & Medicine, 63, 1011-1022.
    Mitsutake, S., Shibata, A., Ishii, K., & Oka, K. (2016). Associations of eHealth literacy with health behavior with health behavior among adult Internet users. Journal of Medical Internet Research, 18(7), e192. doi:10.2196/jmir.5413
    Molinas, J. (1998). The impact of inequality, gender, external assistance and social capital on local-level cooperation. World Development, 26 (3), 413-431. http://doi.org/10.1016/S0305-750X(97)10066-3
    Nahapiest, J. & Ghoshal, S. (1998). Social capital, intellectual capital, and the organizational advantage. The Academy of Management Review, 23(2), 242-266.
    Neter, E., & Brainin, E. (2012). eHealth literacy: Extending the digital divide to the ream of health information. Journal of Medical Internet Research, 14(1).e19.
    Neustadtl, A. & Robinson, J. P. (2002). Social contact differences between Internet users and nonusers in the General Social Survet. IT & Society, 1(1), 73-102.
    Nie, N. H. (2001). Sociability, interpersonal relations, and the Internet. American Behavioral Scientist, 45, 420-435.
    Niederdeppe, J., Hornik, R. C., Kelly, B. J., Frosch, D. L., Romantan, A., Stevens, R. S., . . . Schwartz, J. S. (2007). Examining the dimensions of cancer-related information seeking and scanning Behavior. Health Communication, 22(2), 153-167. doi:10.1080/10410230701454189
    Niu, Z., Willoughby, J., & Zhou, R. (2021). Associations of health literacy, social media use, and self-efficacy with health information-seeking intention among social media users in China: Cross-section suryey. Journal of Medical Internet Research, 23(2), e19134. doi:10.2196/19134
    Norman, C. D. & Skinner, H. A. (2006b). eHEALS: The ehealth literacy scale. Journal of Medical Internet Research, 8(4), e27. Doi: 10.2196/jmir. 8.4.e27
    Norman, C. D., & Skinner, H. A. (2006a). eHealth literacy: Essential skills for consumer health in a networked world. Journal of Medical Internet Research, 8(2), e9. Doi: 10.2196/jmir.8.2.e9
    Nutbeam D (2000). Health literacy as a public health goal: a challenge for contemporary health education and communication strategies into the 21st century. Health promotion international, 15(3): 259-67
    Paige, S. R., Stellefson, M., Chaney, B. H., Chaney, D. J., Alber, J. M., Chappell, C., Barry, A. E. (2017). Examining the relationship between online social capital and eHealth literacy: Implications for Instagram use for chronic disease prevention among college students. American Journal of Health Education, 48(4), 264-277. http://doi.org/10.1080/19325037.2017.1316693.
    Phular, S. S., Khamitkar, S. D., Deshmukh, N. K., Bhalchandra, P. U., Lockhande, S. N., & Shinde, A. R. (2010). Understanding formulation of social capital in online social network sites (SNS). International Journal of Computer Science Issue, 7(1), 92-96.
    Probst, J. C., Moore, C. G., Glover, S. H., Samuels, M. E. (2004). Person and place: The compounding effects of race/ethnicity and rurality on health. American Journal of Public Health, 94(10), 1695-1703.
    Provonost, G. (2002). The Internet and time displacement: A Canadian perspective. IT & Society, 1(1), 44-53.
    Putnam, R. D. (1993). Making democracy work: civic traditions in modern Italy. N. J.: Princeton Univ. Press.
    Putnam, R. D. (1995). Tuning in, tuning out: the strange disappearance of social capital in America. Ps: Political Science & Politics, 28, 664-683.
    Putnam, R. D. (2000). Bowling alone: The collapse and revival of American community. New York, NY: Simon & Schuster.
    Qiu, Y., Pudrovska, T., & Bianchi, S. (2002). Social activity and Internet use in dual-earner families: A weekly time diary approach. IT & Society, 1(1), 38-43.
    Quan-Haase, A. & Wellman, B. (2004). How dose the Internet affect social capital? In M. Huysman & V. Wulf (Eds.), Social capital and information technology (pp. 113-135). Cambridge, MA: MIT Press.
    Quinn, S., Bond, R., & Nugent, C. (2017). Quantifying health and eHealth literacy using existing instruments and browser-based software for tracking online health information seeking behavior. Computers in Human Behavior, 69, 256-267.
    Resnick, P. (2001). Beyond bowling together: Socio-technical capital. In J. Carroll (Ed.), HCI in the new millennium (pp. 647-672). New York: Addison-Wesley.
    Renahy, E., & Chauvin, P. (2006). Internet uses for health information seeking: a literature review. Revue d’Epidemiologie et de Sante Publique, 54(3), 263-275.
    Rice R. E. (2006). Influes, usage, and outcomes of internet health onformation searching: multivariate results from Pew surveys, International Journal of Medical Informatics, 75(1), 8-28.
    Sajuria, J., van Heerde-Hudson, J., Hudson, D., Dasandi, N., & Theocharis, Y. (2014). Tweeting alone? An analysis of bridging and bonding social capital in online networks. American Politics Research, 28, 1-31.
    Savolainen, R. (2001). Network competence and information seeking on the Internet: From definitions towards a social cognitive model. Journal of Documentation, 58(2), 211-226.
    Scheufele, D. A. & Shah, D. V. (2000). Personality strength and social capital: the role of dispositional and informational variables in the production of civic participation. Communication Research, 27, 107-131.
    Selwyn, N. (2004). The information aged: A qualitative study of older adults’ use of information and communications technology. Journal of Aging Studies, 18, 369-384.
    Shah, D. V., McLeod, J. M., & Yoon, S. H. (2001). Communication, context, and context, and community – an exploration of print, broadcast, and Internet influences. Communication Research, 28, 464-506.
    Sillence, E., Briggs, P., Harris, P. R., & Fishwick, L. (2007). How do patients evaluate and make use of online health information? Social Science & Medicine, 64, 1853-1862.
    Skoric, M. M. (2011). Introduction to the special issue: online social capital and participation in Asia-Pacific. Asian Journal of Communication, 21(5), 427-429.
    Skoric, M. M., Ying, D., & Ng, Y. (2009). Bowling online, not alone: online social capital and political participation in Singapore. Journal of Computer-Mediated Communication, 14, 414-433.
    Squiers, L., Peinado, S., Berkman, N., Boudewyns, V., & McCormack, L. (2012). The health literacy skills framework. Journal of Health Communication, 17, 30-54.
    Stefanone, M. A., Kwon, K. H., & Lackaff, D. (2012). Exploring the relationship between perceptions of social capital and enacted support online. Journal of Computer-Mediated Communication, 17, 451-466.
    Subrahmanyam, K., Reich, S. M., Waechter, N., & Espinoza, G. (2008). Online and offline social networks: Use of social networking sites by emerging adults. Journal of Applied Developmental Psychology, 29(6), 420-433. doi:10.1016/j.appdev.2008.07.003
    Sun, S., Mathews, R. M., Hughes, I., & Campbell, A. (2008). Internet use and loneliness in older adult. Cyber Psychology & Behavior, 11(2), 208-211. doi:10.1089/cpb.2007.0010
    Sun, V. R., Majid, S., Chang, Y.-K., & Foo, S. (2016). Assessing the influence of health literacy on health information behaviors: A multi-domain skills-based approach. Patient Education and Counseling, 99, 1038-1045.
    Suri, V. R., Chang, Y-K., Majid, S., & Foo, S. (2014). Health information literacy of senior citizens- A review. European Conference on Information Literacy, 128-137.
    Tabachnick, B. G., Fidell, L. S., & Osterlind, S. J. (2001). Using multivariate statistics. New Your: Pearsons.
    Tardy, R. W., & Hale, C. L. (1998). Getting "plugged in": A network analysis of health-information seeking among "stay-at-home moms". Communication Monographs, 65(4), 336-357. doi:10.1080/03637759809376457
    Tennant, B., Stellefson, M., Dood, V., Chaney, B., Chaney, D., Paige, S., & Alber, J. (2015). eHealth literacy and web 2.0 health information seeking behaviors among baby boomers and older adults. Journal of Medical Internet Research, 17(3), e70. doi: 10.2196/jmir.3992
    Topp, C. W., Østergaard, S. D., Søndergaard, S., & Bech, P. (2015). The WHO-5 Well-Being Index: A systematic review of the literature. Psychotherapy and Psychosomatics, 84(3). doi:10.1159/000376585
    Torkzadeh, G., & Van Dyke, T. P. (2002). Effects of training on internet self-efficacy and computer user attitudes. Computers in Human Behavior, 18, 479-494.
    Tsai, M. J., & Tsai, C. C. (2003). Information searching strategies in Web-based science learning: The role of Internet self-efficacy. Innovations in Education and Teaching International, 40(1), 43-50. doi:10.1080/1355800032000038822
    Usher, E. L., & Pajares, F. (2008). Sources of self-efficacy in school: Critical review of the literature and future directions. Review of Enducational Research, 78, 751-796.
    Uslaner, E. M. (2000). Social capital and the Net. Communications of ACM, 43, 60-64.
    Valenzuela, S., Park, N., & Kee, K. F. (2009). Is there social capital in a social network site?: Facebook use and college students’ life satisfaction, trust, and participation. Journal of Computer-Mediated Communication, 14, 875-901.
    Valkenburg, P. M. & Peter, J. (2009). Social consequences of the Internet for adolescents: A decade of research. Current Directions in Psychological Science, 18(1), 1-5. http://doi.org/10.1111/j.1467-8721.2009.01595.x
    Van Boekel, L., Peek, S. TM., & Luijkx, K. G. (2017). Diversity in older adults’ use of the Internet: Identifying subgroups through latent class analysis. Journal of Medical Internet Research,19(5): e180. Doi:10.2196/jmir.6853.
    Vergeer, M. & Pelzer, B. (2009). Consequences of media and Internet use for offline and online network capital and well-being. A causal model approach. Journal of Computer-Mediated Communication, 15(1), 189-210. http://doi.org/10.1111/j.1083-6101.2009.01499.x
    Vergeer, M., Lim, Y. S., & Park, H. W. (2011). Mediated relation: new methods to study online social capital. Asian Journal of Communication, 21(5), 430-449.Wellman, B., Boase, J., & Chen, W. (2002). The networked nature of community: Online and offline. IT & Society, 1(1), 151-165.
    Wellman, B., Quan-Haase, A., Witte, J., & Hampton, K. (2001). Dose the Internet increase, decrease, or supplement social capital? Social networks, participation, and community commitment. American Behavioral Scientist, 45, 436-455.
    WHO (1998). Wellbeing measures in primary health care: The DepCare project: report on a WHO meeting Stockholm, Sweden 12-13 Februuary 1998. WHO regional office for Europe: Copenhagen.
    William, D. (2006). On and off the ‘Net: scales for social capital in an online era. Journal of Computer Mediated Communication, 11(2), 593-628.
    Wong, D. K.-K. & Cheung, M. K. (2019). Online health information seeking and eHealth literacy among patients a primary care clinic in Hong Kong: A cross-sectional survey. Journal of Medical Internet Research, 21(3), e10831. doi:10.2196/10831
    Woolcock, M. (1998). Social capital and economic development: toward a theoretical synthesis and policy framework. Theory and Society, 27(2), 151-208.
    Wu, S-Y., Wang, S.-T., Liu, E., Z.-F., Hu, D.-C., & Hwang, W.-Y. (2012). The influences of social self-efficacy on social trust and social capital – A case study of facebook. The Turkish Online Journal of Educational Technology, 11(2), 246-254. Retrieved from <Go to ISI>://WOS:000308976800026
    Wu, Y.-T. & Tsai, C.-C. (2006). University students’ Internet attitudes and Internet self-efficacy: A study at three universities in Taiwan. Cyber Psychology & Behavior, 9(4), 441-450.
    Xie (2011). Effects of an ehealth literacy intervention for older adults. Journal of Medical Internet Research, 13(4): e90. Doi:10.2196/jmir.1880.
    http://doi.org/10.1111/jonm.13221
    Yang, H.-H., Kuo, S.-C., Yang, H.-J., & Yu, J.-C. (2013). Social capital and health literacy in Taiwan. Health, 5(5), 898-902.
    Yang, S. C., Lou, Y. F., & Chiang, C. H. (2017). The association among individual factors, eHealth literacy, and health-promoting lifestyles among college students. Journal of Medical Internet Research, 19(1), e15. doi:10.2196/jmir.5964
    Yardi, S. & Boyd, D. (2010). Dynamic debates: An analysis of group polarization over time on Twitter. Bulletin of Science, Technology & Society, 30, 316-327.
    Ybarra, M. L. & Suman, M. (2006). Help seeking behavior and the Internet: A national survey. International Journal of Medical Informatics, 75(1), 29-41. doi:10.1016/j.ijmedinf.2005.07.029
    Zarcadoolas, C., Pleasant, A., & Greer, D. S. (2005). Understanding health literacy: An expanded model. Health Promotion International,20, 195-203.
    Zhang, L. & Jung, E. H. (2021). How dose WeChat’s active engagement with health information contribute to psychological well-being through social capital? Universal Access in the Information Society. 1-17. http://doi.org/10.1007/s10209-021-00795-2

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