簡易檢索 / 詳目顯示

研究生: 楊心慈
Yang, Hsin-Tzu
論文名稱: 桃園市幼兒園家長對孩童使用3C產品的視力保健行為及其相關因素研究—健康信念模式之應用
Study on the Parents’ Vision Care Behavior and Its Related Factors Regarding the Usage of 3C Products Among the Kindergarden Children in Taoyuan City, Taiwan—The Application of the Health Belief Model
指導教授: 陳政友
Chen, Cheng-Yu
學位類別: 碩士
Master
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: 2015
畢業學年度: 103
語文別: 中文
論文頁數: 148
中文關鍵詞: 幼兒園家長3C產品視力保健行為健康信念模式
英文關鍵詞: parents’ of kindergarden, 3C products, vision care behavior, Health Belief Model
論文種類: 學術論文
相關次數: 點閱:292下載:30
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 本研究以橫斷性調查研究法,探討桃園市幼兒園家長對孩童使用3C產品的視力保健行為及其相關因素。以立意取樣的方式,選擇三所103學年度就讀桃園市幼兒園之孩童家長為研究對象,共644人。利用自編結構式問卷進行資料蒐集,獲得有效問卷524份。研究結果如下:
    一、研究對象對孩童使用3C產品的視力保健知識、對孩童使用3C產品而患眼疾之自覺罹患性、自覺嚴重性、視力保健自覺有效性、視力保健行動線索、視力保健自我效能及視力保健行為整體來說都不錯,屬中上程度;而且視力保健自覺障礙性亦不高,屬中下程度。
    二、研究對象的背景變項中,以「對孩童使用3C產品的視力保健知識」與視力保健健康信念、視力保健行動線索及視力保健自我效能皆呈顯著正相關;而「孩童平均每日使用3C產品時間」,除了與視力保健自覺有效性及視力保健行動線索無關外,與其自覺罹患性、自覺嚴重性、視力保健自覺障礙性及視力保健自我效能呈顯著負相關。另外,「家長身分別」或「家長是否視力不良」與其自覺罹患性有關;「家長身分別」或「家長年齡」與其自覺嚴重性有關;「家長社經地位」與其視力保健自覺障礙性有關;「家長社經地位」或「家長是否視力不良」或「家長年齡」或「孩童是否視力不良」與其視力保健行動線索有關。
    三、研究對象中以高社經地位者對孩童使用3C產品的視力保健行為較佳;孩童平均每日使用3C產品時間與其視力保健行為呈負相關,對孩童使用3C產品的視力保健知識、視力保健健康信念、視力保健行動線索、視力保健自我效能與其視力保健行為呈正相關。
    四、研究對象背景變項、對孩童使用3C產品的視力保健健康信念、視力保健行動線索及視力保健自我效能能有效預測其視力保健行為,
    並可解釋其總變異量之43.9%。在各預測變項互相控制後,孩童平均每日使用3C產品時間越短者、對孩童使用3C產品而患眼疾之自覺障礙性越低者、對孩童使用3C產品的視力保健行動線索越多者及視力保健自我效能越高者,對孩童使用3C產品的視力保健行為執行度越佳。
    本研究依結論提出對未來教育及政府單位之建議及改進方針,以提升研究對象對孩童使用3C產品的視力保健行為。

    The main prupose of this study was to explore the parents’ vision care behavior and its related factors regarding the usage of 3C products among the kindergarden children in Taoyuan City with cross-sectional survey design. By using purposive sampling method, a sample of 644 parents of three kindergardens in Taoyuan City in 2014 academic year as the subjects of the study. Data collection with self-administered structured questionnaires, 524 valid questionnaires were obtained. The major findings of the study are as follows:
    1.Generally speaking, the findings were not bad that showed above the average scores in vision care knowledge, perceived susceptibility, perceived severity, perceived benefits of taking action, vision care cues to action, vision care self-efficacy, and vision care behavior among the subjects. Besides, the scores of perceived barriers of taking action were not high which below the average.
    2.There was a significant positive correlation between vision care knowledge and health beliefs, cues to action, and self-efficacy, respectively. Apart from perceived benefits of taking action and cues to action, perceived susceptibility, perceived severity, perceived barriers of taking action, and self-efficacy showed significant negative correlation with average minutes of the children’s usage of 3C products in one day, respectively. In addition, it was found that there was somewhat correlation between or among the following variables, respectively: parents’ identity or parents’ vision health status and the perceived susceptibility, parents’ identity or parents’ age and the perceived severity, parents’ social economic status (SES) and the perceived barriers of taking action, parents’ SES or parents’ vision health status or parents’ age or children’s vision health status and the vision care cues to action.
    3.In terms of the parents’ SES, the superior background participants had better vision care behavior than the others. The average minutes of the children’s usage of 3C products in one day showed a significant negative correlation with vision care behavior. Vision care knowledge, vision care health beliefs, vision care cues to action, and vision care self-efficacy showed significant positive correlation with vision care behavior, respectively.
    4.The background variables, vision care health beliefs, vision care cues to action, and vision care self-efficacy could explain 43.9% of the total variance of vision care behavior. After controlling predict variables, it was found that the shorter the average minutes of the children’s usage of 3C products in one day, the lower the perceived barriers of taking action, the more the cues to action, and the more the self-efficacy, which could lead to the more positive vision care behavior.
    Based on the findings of the study, recommendations for educational policies, governmental agencies, and future studies were drawn in order to upgrade parents’ vision care behavior regarding their children’s usage of 3C products.

    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…………………………3 第三節 研究問題…………………………4 第四節 研究假設…………………………5 第五節 名詞操作型定義…………………………6 第六節 研究限制…………………………10 第二章 文獻探討…………………………11 第一節 3C產品之相關探討…………………………11 第二節 3C產品對健康的影響…………………………16 第三節 視力保健行為…………………………20 第四節 使用3C產品的視力保健行為相關因素…………………………25 第五節 健康信念模式及自我效能在健康行為上之應用…………………………28 第三章 研究方法…………………………37 第一節 研究架構…………………………37 第二節 研究對象…………………………38 第三節 研究工具…………………………39 第四節 研究步驟…………………………48 第五節 資料處理與分析…………………………49 第四章 結果與討論…………………………53 第一節 研究對象背景變項之分佈情形…………………………53 第二節 研究對象對孩童使用3C產品的視力保健健康信念、視力保健行動線索、視力保健自我效能及視力保健行為之分佈情形…………………………59 第三節 研究對象背景變項與對孩童使用3C產品的視力保健健康信念、視力保健行動線索、視力保健自我效能及視力保健行為間之關係…………………………72 第四節 研究對象對孩童使用3C產品的視力保健健康信念、視力保健行動線索及視力保健自我效能與視力保健行為間之關係…………………………83 第五節 研究對象對孩童使用3C產品的視力保健行為之預測……85 第六節 討論……………………………………………………………………………………………………89 第五章 結論與建議 ……………………………………………………………………………………105 第一節 結論……………………………………………………………………………………………………105 第二節 建議……………………………………………………………………………………………………107 參考文獻……………………………………………………………………………………………………………111 一、中文部分…………………………………………………………………………………………………111 二、英文部分…………………………………………………………………………………………………114 附錄……………………………………………………………………………………………………………………121 附錄一 問卷效度考驗專家名單……………………………………………………………121 附錄二 「家長對孩童使用3C產品的視力保健行為」調查問卷(預試用)……………………………………………………………………………………………………………………………122 附錄三 預試分析…………………………………………………………………………………………133 附錄四 「家長對孩童使用3C產品的視力保健行為」調查問卷(正式調查用)……………………………………………………………………………………………………………………138 表目次 表3-3-1 知識測驗及各量表內部一致性信度分析…………………………48 表3-5-1 資料處理及統計分析…………………………51 表4-1-1 研究對象背景變項(屬類別資料者)之分佈情形…………………………57 表4-1-2 研究對象背景變項(屬等距資料者)之分佈情形…………………………58 表4-1-3 研究對象對孩童使用3C產品的視力保健知識測驗之各題答對對…………………………58 表4-2-1 研究對象對孩童使用3C產品的視力保健健康信念、視力保健行動線索、視力保健自我效能及視力保健行為之分佈情形…………………………64 表4-2-2 研究對象對孩童使用3C產品而患眼疾之自覺罹患性的分佈情形…………………………65 表4-2-3 研究對象對孩童使用3C產品而患眼疾之自覺嚴重性的分佈情形…………………………66 表4-2-4 研究對象對孩童使用3C產品的視力保健自覺有效性之分佈情形…………………………67 表4-2-5 研究對象對孩童使用3C產品的視力保健自覺障礙性之分佈情形…………………………68 表4-2-6 研究對象對孩童使用3C產品的視力保健行動線索之分佈情形…………………………69 表4-2-7 研究對象對孩童使用3C產品的視力保健自我效能之分佈情形…………………………70 表4-2-8 研究對象對孩童使用3C產品的視力保健行為之分佈情形…71 表4-3-1 研究對象背景變項(屬類別資料者)與對孩童使用3C產品而患眼疾之自覺罹患性的單因子變異數分析…………………………76 表4-3-2 研究對象背景變項(屬類別資料者)與對孩童使用3C產品而患眼疾之自覺嚴重性的單因子變異數分析…………………………77 表4-3-3 研究對象背景變項(屬類別資料者)與對孩童使用3C產品的視力保健自覺有效性之單因子變異數分析…………………………78 表4-3-4 研究對象背景變項(屬類別資料者)與對孩童使用3C產品的視力保健自覺障礙性之單因子變異數分析…………………………79 表4-3-5 研究對象背景變項(屬類別資料者)與對孩童使用3C產品的視力保健行動線索之單因子變異數分析…………………………80 表4-3-6 研究對象背景變項(屬類別資料者)與對孩童使用3C產品的視力保健自我效能之單因子變異數分析…………………………81 表4-3-7 研究對象背景變項(屬類別資料者)與對孩童使用3C產品的視力保健行為之單因子變異數分析…………………………82 表4-3-8 研究對象背景變項(屬等距資料者)與對孩童使用3C產品的視力保健健康信念、視力保健行動線索、視力保健自 我效能及視力保健行為之斯皮爾曼等級相關分析…………………………83 表4-4-1 研究對象對孩童使用3C產品的視力保健健康信念、視力保健行動線索及視力保健自我效能與視力保健行為之斯皮爾曼等級相關分析…………………………85 表4-5-1 研究對象對孩童使用3C產品的視力保健行為預測因素之複迴歸分析…………………………88 圖目次 圖2-5-1健康信念模式之概念架構…………………………33 圖2-5-2健康信念模式加入自我效能之概念架構…………………………34 圖3-1-1研究架構…………………………37

    一、中文部分
    于健、邱孟緘(2014)。以計畫行為理論探討國小學童網路成癮行為及相關因素。管理資訊計算,3(2),357-374。
    王瑞霞(1995)。國小學童健康行為及其相關因素探討。臺北市:中華民國行政院國家科學委員會。
    吳仁宇(1996)。國民中小學課桌椅設計取向。師友月刊,343,7。
    吳翠珍(2009)。2009年全國兒童媒體使用行為調查報告。臺北市:富邦文教基金會。
    沈希哲、陳政友、劉婉柔、黃世欣、盧玉玫、蔡宛珊、謝雅萍(2008)。臺北縣家長對學童採取近視預防行爲及其相關因素研究。健康促進暨衛生教育雜誌,28,83-110。
    吳明隆(2009)。SPSS操作與應用-問卷統計分析實務。臺北市:五南。
    林生傳(2005)。教育社會學。臺北市:巨流。
    邱惠絹(2014)。幼兒的視力保健知識與3C產品使用行為之研究~以新北市六所幼兒園為例(未出版之碩士論文)。亞洲大學生物與醫學資訊學系,臺中市。
    金車教育基金會(2013)。2013年青少年使用行動電話調查。取自http://www.smartkid.org.tw/dblog/blog.asp?qbid=1037
    國家通訊傳播委員會(2014)。102年行動通信業務營運概況。取自http://www.ncc.gov.tw/chinese/news.aspx?site_content_sn=2016
    郭佳容(2013)。「3C螢幕藍光」超傷眼!自保5招。康健雜誌,176。
    陳政友(2013)。我國學幼童近視問題與對策。學校衛生,63,103-110。
    陳雅文(2009)。健康信念模式應用於大學生隱形眼鏡保健行為及相關因素研究-以國立臺灣師範大學為例(未出版之碩士論文)。國立臺灣師範大學健康促進與衛生教育學系,臺北市。
    陳瑩山(2006)。現階段營養品補充預防黃斑部病變及延緩視力喪失的角色-抗氧化維生素及酵素帶來新希望。健康世界,241,16-22。
    教育部(2003)。幼兒視力保健教師手冊。視力保健的習慣。取自http://210.240.115.2/eyes/e-learning/%E5%AE%A3%E5%B0%8E%E6%95%99%E6%9D%90/%E5%AE%A3%E5%B0%8E%E6%89%8B%E5%86%8A/%E5%B9%BC%E5%85%92%E8%A6%96%E5%8A%9B%E4%BF%9D%E5%81%A5%E6%95%99%E5%B8%AB%E6%89%8B%E5%86%8A/%E7%AC%AC%E5%8F%83%E5%96%AE%E5%85%83%EF%BC%9A%E8%A6%96%E5%8A%9B%E4%BF%9D%E5%81%A5%E7%9A%84%E7%BF%92%E6%85%A3.pdf
    教育部(2014a)。視力保健實務工作手冊。教學資源-視力保健。取自http://hpshome.giee.ntnu.edu.tw/Document/Document.aspx?mtype=4&type=67
    教育部(2014b)。健康促進學校七大議題問卷--視力保健。臺灣健促學校文件。取自http://hpshome.giee.ntnu.edu.tw/Document/Document.aspx?mtype=1&type=174
    教育部統計處(2015)。性別統計指標彙總性資料-學生-幼兒園幼生數-按性別與學校所在縣市別分。取自https://stats.moe.gov.tw/files/gender/101-2.xls
    勞動部勞動及職業安全衛生研究所(1999)。電腦作業人員健康危害預防手冊。取自http://www.iosh.gov.tw/wSite/ct?xItem=7016&ctNode=492&m11
    彭秀英(2011)。學齡前兒童家長實施幼童近視防治行爲與其相關因素研究。學校衛生,58,83-102。
    黃松元、林武雄、黃琪璘、陳政友、劉貴雲、王幼金、賴香如(1990)。影響臺北市國小學童健康生活危險因子研究。臺北市衛生局與國立臺灣師範大學衛生教育學系之研究報告。
    黃美溶(2003)。兒童近視與父母的知識態度行為相關因素探討(未出版之碩士論文)。中國醫藥學院醫學研究所,臺中市。
    黃淑貞、姜逸群、賴香如、洪文綺、陳曉玟、邱雅莉、袁寶珠(2003)。臺灣地區國小學童健康行為現況及其與社會人口學變項之相關研究。衛生教育學報,19,23。
    劉乃昀、陳政友(2008)。臺北市家長對學童採取近視防治行為及其相關因素研究-健康信念模式之應用。學校衛生,52,13-35。
    衛生福利部(2015)。立法院三讀通過,通過「兒童及少年福利與權益保障法」修正草案。取自http://www.mohw.gov.tw/CHT/Ministry/DM2_P.aspx?f_list_no=7&fod_list_no=5308&doc_no=48294
    衛生福利部中央健康保險署(2008)。遠離近視非難事,正確保護您的靈魂之窗。取自http://www.nhi.gov.tw/webdata/webdata.aspx?menu=6&menu_id=168&webdata_id=2154
    衛生福利部國民健康署(2014a)。近視歷年流行病學調查結果。取自http://www.hpa.gov.tw/BHPNet/Web/HealthTopic/TopicArticle.aspx?No=200712250418&parentid=200712250086
    衛生福利部國民健康署(2014b)。FUN暑假,護眼2祕訣,不要長時間近距離用眼,多戶外活動。取自http://www.hpa.gov.tw/BHPNet/Web/News/News.aspx?No=201407030001
    戴孟宗、鄭伃珊、洪佩玲、黃子郁(2012)。平板電腦的視覺疲勞評估-以iPad為例。圖文傳播藝術學報,2012,146-153。
    蘇巧雲(2010)。臺中縣主要照顧者視力保健態度與幼兒視力保健行為之相關研究(未出版之碩士論文)。國立臺中教育大學幼兒教育學系,臺中市。
    蘇雅慧(2009)。臺中縣市幼兒使用電腦現況及家長對幼稚園電腦融入教學態度之調查研究(未出版之碩士論文)。國立臺中教育大學幼兒教育學系,臺中市。

    二、英文部分
    Algvere, P. V., Marshall, J., & Seregard, S. (2006). Age-related maculopathy and the impact of blue light hazard. Acta Ophthalmologica Scandinavica, 84(1), 4-15.
    American Academy of Pediatrics. (1999). Media Education Pediatrics, 104, 3.
    American Academy of Pediatrics. (2011a). Children, adolescents, obesity, and the media. Pediatrics, 128(1), 8.
    American Academy of Pediatrics. (2011b). Media use by children younger than 2 years. Pediatrics, 128(5), 6.
    American Academy of Pediatrics. (2013). Children, adolescents, and the media. Pediatrics, 132(5), 4.
    Austin, L. T., Ahmad, F., McNally, M. J., & Stewart, D. E. (2002). Breast and cervical cancer screening in Hispanic women: a literature review using the health belief model. Women's Health Issues, 12(3), 7.
    Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84, 25.
    Barron, B., Martin, C., Takeuchi, L., & Fithian, R. (2009). Parents as learning partners in the development of technological fluency. International Journal of Learning and Media, 1(12), 23.
    Buckleitner, W. (2012, November 21). Toy tablets for children, or the real thing? . The New York Times.
    Burke, A., & Peper, E. (2002). Cumulative trauma disorder risk for children using computer products: results of a pilot investigation with a student convenience sample. Public Health Reports, 117, 8.
    Butraporn, P., Pach, A., Pack, R. P., Masngarmmeung, R., Maton, T., & Sri-aroon, P. (2004). The health belief model and factors relating to potential use of a vaccine or shigellosis in Kaeng Koi district, Saraburi province, Thailand. Journal of Health, Population and Nutrition, 22(2), 12.
    Champion, V. L., & Skinner, C. S. (2008). The health belief model. In Glanz, K., Rimer, B. K., & Viswanath, K. Health behavior and health education: theory, research, and practice. 4th Ed. San Francisco, CA: Jossey-Bass Publisher, 2008, 45-66.
    Chiong, C., & Shuler, C. (2010). Learning: Is There an App for That? Investigations of Young Children’s Usage and Learning with Mobile Devices and Apps. Paper presented at the The Joan Ganz Cooney Center at Sesame Workshop, New York.
    Ciccarelli, M., Straker, L., Mathiassen, S., & Pollock, C. (2011). IT-Kids Part II: Variation of postures and muscle activity in children using different information and communication technologies. Work, 38, 15.
    Cohen, Y., Belkin, M., Yehezkel, O., Solomon, A. S., & Polat, U. (2011). Dependency between light intensity and refractive development under light-dark cycles. experimental eye research, 92, 7.
    Common Sense Media. (2013). Zero to Eight :Children's Media Use in America 2013. San Francisco: Common Sense Media.
    Dirani, M., Tong, L., & Gazzard, G. (2009). Outdoor activity and myopia in Singapore teenage children. British Journal of Ophthalmology, 93, 4.
    Edwards, M. H. (1998). Effect of parental myopia on the development of myopia in Hong Kong Chinese. Ophthalmic and Physiological Optics, 18, 7.
    Eisen, M., Zellman, G. L., & McAlister, A. L. (1992). A Health belief model-social learning theory approach to adolescent' fertility control: findings from a controlled field trial. Health education quarterly, 19(2), 14.
    Fisch, S. M., Akerman, A., Morgenlander, M., McCann-Brown, S. K., Fisch, S., Schwartz, B., & Tobin, P. (2008). Coviewing preschool television in the US: Eliciting parent-‐child interaction via onscreen prompts. Journal of Children and Media, 2(2), 11.
    Fisch, S. M., Shulman, J. S., Akerman, A., & Levin, G. (2002). Reading between the pixels: Parent-‐child interaction while reading online storybooks. Early Education and Development, 13, 17.
    Gerr, F., Marcus, M., & Monteilh, C. (2004). Epidemiology of musculoskeletal disorders among computer users: lesson learned from the role of posture and keyboard use. Journal of Electromyography and Kinesiology, 14, 7.
    Gillespie, R. M., Nordin, M., Halpern, M., Koenig, K., Warren, N., & Kim, M. (2006). CAKE (Computers and Kids' Ergonomics): The musculoskeletal impact of computer and electronic game use on children and adolescents. (Dissertation), New York University.
    Gregory, R. L. (1996). Psychological Testing: History, Principles and Application. Boston: Allyn & Bacon.
    Harris, C., & Straker, L. (2000). Survey of physical ergonomics issues associated with school children’s use of laptop computers. International Journal of Industrial Ergonomics, 26, 10.
    Hazaveher, S. M., Taghdisi, M. H., & Saidi, M. (2007). Application of the health belief model for osteoporosis prevention among middle school girl students, Garmsar, Iran. Education for health (Abingdon, England), 20(1).
    Hinduja, S., & Patchin, J. (2007). Offline consequences of online victimization: school violence and delinquency. Journal of School Violence, 6(3), 24.
    Hounton, S. H., Carabin, H., & Henderson, N. J. (2005). Towards and understanding of barriers to condom use in rural Benin using the health belief model: a cross sectional survey. BMC Public Health, 5, 1.
    Hoyos Cillero, I., & Jago, R. (2010). Systematic review of correlates of screen-viewing among young children. Preventive Medicine, 51(1), 3-10. doi: http://dx.doi.org/10.1016/j.ypmed.2010.04.012
    Ip, J. M., Huynh, S. C., & Robaei, D. (2007). Ethnic differences in the impact of parental myopia: findings from a population-based study of 12-year-old Australian children. Investigative Ophthalmology & Visual Science, 48, 9.
    Ip, J. M., Saw, S. M., & Rose, K. A. (2008). Role of near work in myopia: findings in a sample of Australian school children. Investigative Ophthalmology & Visual Science, 49, 8.
    Jacobs, K., & Baker, N. (2002). The association between children's computer use and musculoskeletal discomfort. Work, 18, 6.
    Jacobs, K., Hudak, S., & McGiffert, J. (2009). Computer-related posture and musculoskeletal discomfort in middle school students. Work, 32, 9.
    Jones, L. A., Sinnott, L. T., Mutti, D. O., Mitchell, G. L., Moeschberger, M. L., & Zadnik, K. (2007). Parental history of myopia, sports and outdoor activities, and future myopia. Investigative Ophthalmology & Visual Science, 48, 9.
    Krejcie, R., & Morgan, D. (1970). Determining Sample Size for Research Activities. Educational and psychological measurement, 30(3), 607.
    Liebeskind, K. M. (2013). Parental mediation from Looney Tunes to Angry Birds: Examining how parents are dealing with the content-specific issues of old media and the unique challenges of new media. (3564595 Ph.D.), University of Pennsylvania, Ann Arbor.
    Maiman, L. A., & Becker, M. H. (1974). The health belief model and personal health behavior. Thorofare, NJ: Charles B Slack.
    Mutti, D. O., Mitchell, G. L., Moeschberger, M. L., Jones, L. A., & Zadnik, K. (2002). Parental myopia, near work, school achievement, and children’s refractive error. Investigative Ophthalmology & Visual Science, 43, 8.
    Napier, C. (2014). How use of screen media affects the emotional development of infants. Primary Health Care, 24(2), 8.
    Neff, J. A., & Crawford, S. L. (1998). The health belief model and HIV risk behaviours: a causal model analysis among Anglos, African-Americans and Mexican-Americans. Ethnicity and Health, 3(4), 17.
    Nunnally, J. C. (1978). Psychometric Theory (2nd ed.). New York: McGraw-Hill.
    Papert, S. (1993). The Children's Machine: Rethinking School in the Age of the Computer. New York: Basic Books.
    Rose, K., Harper, R., Tromans, C., Waterman, C., Goldberg, D., Haggerty, C., & Tullo, A. (2000). Quality of life in myopia. British Journal of Ophthalmology, 84, 4.
    Rose, K., Morgan, I., Ip, J., Kifley, A., Huynh, S., Smith, W., & Mitchell, P. (2008). Outdoor activity reduces the prevalence of myopia in children. Ophthalmology, 115, 7.
    Rosenstock, I. M. (1974). The Health Belief Model and Preventive Health Behavior. Health Education Monographs, 2(4), 354-386.
    Rosenstock, I. M., Strecher, V. J., & Becker, M. H. (1988). Social learning theory and the Health Belief Model. Health education quarterly, 15(2), 175-183.
    Royster, B. (2002). A healthy approach to classroom computers: Preventing a generation of students from developing repetitive strain injuries. North Carolina Law Review, 80, 40.
    Saw, S. M., Carkeet, A., Chia, K. S., Stone, R. A., & Tan, D. T. (2002). Component dependent risk factors for ocular parameters in Singapore Chinese children. Ophthalmology, 109, 7.
    Schmidt, M. E., & Vandewater, E. A. (2008). Media and attention, cognition, and school achievement. Children and Electronic Media, 18(1), 23.
    Tran, T. (2010). Factors influencing school children’s unhealthy computing behaviours. (dissertation), Curtin University.
    Veldhuis, L., van Grieken, A., Renders, C. M., HiraSing, R. A., & Raat, H. (2014). Parenting Style, the Home Environment, and Screen Time of 5-Year-Old Children; The ‘Be Active, Eat Right’ Study. Plos ONE, 9(2), 9.
    Zadnik, K., Satariano, W., Mutti, D. O., Sholtz, R. I., & Adams, A. J. (1994). The effect of parental history of myopia on children’s eye size. JAMA, 271, 5.

    下載圖示
    QR CODE