研究生: |
鍾沿諭 Chung, Yen-Yu |
---|---|
論文名稱: |
高齡者網路使用與客觀身體活動之關聯性探討 The Association Between Internet Use and Objective Physical Activity in Older Adults |
指導教授: |
廖邕
Liao, Yung |
口試委員: |
廖邕
Liao, Yung 顏心彥 Yen, Hsin-Yen 林倩宇 Lin, Chien-Yu |
口試日期: | 2024/05/03 |
學位類別: |
碩士 Master |
系所名稱: |
運動休閒與餐旅管理研究所 Graduate Institute of Sport, Leisure and Hospitality Management |
論文出版年: | 2024 |
畢業學年度: | 112 |
語文別: | 中文 |
論文頁數: | 88 |
中文關鍵詞: | 高齡者 、網路使用 、身體活動 、健康促進 、網路使用頻率 |
英文關鍵詞: | physical activity, Internet use, older adults, accelerometer, digital use |
研究方法: | 調查研究 |
DOI URL: | http://doi.org/10.6345/NTNU202401742 |
論文種類: | 學術論文 |
相關次數: | 點閱:101 下載:5 |
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 |
隨著人口迅速老化,促進高齡者的健康日益受到重視,有研究指出透過網路可能是有效的可行方式。網路提供豐富資訊和服務,越來越多高齡者透過網路獲取各種健康資訊,此外,許多研究已證實身體活動能為高齡者帶來許多健康效益,因此本研究欲探討探討高齡者網路使用與身體活動間的關聯性。研究目的如下:(1) 了解高齡者的社會人口學特性與網路使用、身體活動間之關聯性。(2) 探討高齡者網路使用與身體活動間之關聯性。本研究招募199名65歲以上、具備獨立行走能力且有清楚口語表達能力的高齡者,研究使用客觀測量工具ActiGraph三軸加速規 (GT3X+, Pensacola, Florida) 記錄身體活動量,進行連續7天的配戴,每日10小時以上,至少配戴4日並包含1日假日。網路使用則透過數位發展部之數位調查問卷以了解使用狀況,並蒐集社會人口學變項,研究資料經問卷編碼和身體活動數據轉換後,剔除數據不全之資料,共納入172名有效樣本,以SPSS 23進行描述性統計、卡方檢定、獨立樣本t檢定、單因子變異數分析以及多元邏輯斯迴歸進行分析。所得結果如下:一、「網路使用頻率中等」的高齡者較「不使用或網路使用頻率低」者有較高的可能性達到WHO所建議的每週150分鐘身體活動,且有較多的每日平均步數。二、網路使用目的為「資訊取得」的高齡者較「不使用/不知道或其他」者有較高的可能性達到WHO所建議的每週150分鐘身體活動,且有較多的每日平均客觀中強度、中高強度身體活動及平均步數。本研究提供健康傳播支持性的實證結果,可供高齡者身體活動之政策參考,或數位產品開發、健康促進規劃等高齡者服務產業評估依據,達到提升臺灣高齡者健康發展之目的。
The aging population is thriving worldwide, and it is critical to improve the health of older adults through physical activity (PA). Researches have indicated that the Internet may be an effective method to achieve the goal. The Internet provides a wealth of information and services, and more and more older adults are accessing various health information online. Moreover, numerous studies have confirmed that PA brings many health benefits to the elderly. Therefore, this study aimed to explore the association between Internet use and PA in older adults.
The objectives of this study were as the following: (1) To understand the association between the sociodemographic characteristics of the older adults and their use of the Internet and PA. (2) To investigate the association between Internet use and PA among the older adults. This study recruited 199 individuals aged 65 and above, who were capable to walk independently and had no cognitive impairments. PA was measured using the ActiGraph triaxial accelerometer (GT3X+, Pensacola, Florida), worn constantly for 7 days, at least 10 hours per day, at least 4 days which one weekend day included. Internet use was assessed through a digital survey questionnaire developed by the Digital Development Department to understand usage patterns, and sociodemographic variables were collected. After coding the questionnaires and converting the PA data, incomplete data were excluded, resulting in 172 valid samples. Data analysis was performed using SPSS 23, including descriptive statistics, chi-square tests, independent samples t-tests, one-way ANOVA, and multiple logistic regression.
The results were as follows: (1) Older adults with a “moderate frequency of Internet use” were more likely than those with “low or no Internet use” to meet the WHO-recommended 150 minutes of PA per week, and also had a higher average daily step count. Older adults who use the Internet for “Goods-and-Information Acquisition “are more likely than those who use it “no use/ no purpose or others” to meet the WHO-recommended 150 minutes of PA per week, and also engage in more moderate or moderate to vigorous intensity PA and have a higher average daily step count.
This study provided empirical evidence for health communication support and could be used to be a reference for policies promoting PA among older adults, or as a basis for evaluating digital product development and health arouse plan in the service industry of older adults, with the aim of improving the health development of the older population in Taiwan.
內政部 (2023)。內政統計通報。擷取於8月15日2024年,https://www.moi.gov.tw/cl.aspx?n=4412
王順民 (2023,9月27日)。關於『戰後嬰兒潮』議題現象的社會學想像思索。財團法人國家政策研究基金會。https://www.npf.org.tw/2/25989
行政院主計總處 (2021,12月6日)。109年65歲以上高齡者健保醫療費用占39.8%。行政院主計總處新聞稿。https://www.dgbas.gov.tw/News.aspx?n=3608&sms=11020&_CSN=593
財團法人台灣網路資訊中心 (2023)。2023年台灣網路報告。擷取於11月9日2023年,https://report.twnic.tw/2023/index.html
國家發展委員會 (2022)。人口推估。擷取於8月17日2023年,https://www.ndc.gov.tw/Content_List.aspx?n=81ECE65E0F82773F
教育部體育署 (2022)。111年運動現況調查。i運動資訊平台擷取於8月15日2023年,https://isports.sa.gov.tw/Apps/Download.aspx?SYS=TIS&MENU_CD=M07&ITEM_CD=T01&MENU_PRG_CD=4&ITEM_PRG_CD=2
教育部體育署 (2023)。112年運動現況調查。i運動資訊平台。擷取於1月5日2024年,https://isports.sa.gov.tw/Apps/Download.aspx?SYS=TIS&MENU_CD=M07&ITEM_CD=T01&MENU_PRG_CD=4&ITEM_PRG_CD=2
數位發展部 (2023a)。112年數位發展調查報告。數位發展部。擷取於8月23日2023年,https://moda.gov.tw/digital-affairs/digital-service/dv-survey/6635
數位發展部 (2023b)。112年國家數位發展研究報告。數位發展部。擷取於8月25日2023年,https://moda.gov.tw/digital-affairs/digital-service/dv-survey/8557
數位發展部 (2023c)。111年資深公民數位發展調查報告及摘要。數位發展部。擷取於8月25日2023年,https://moda.gov.tw/digital-affairs/digital-service/dv-survey/6629
衛生福利部國民健康署 (2021)。國民營養健康狀況變遷調查成果報告2017-2020年。衛生福利部國民健康署。擷取於9月1日2023年,https://www.hpa.gov.tw/Pages/List.aspx?nodeid=3998
衛生福利部 (2022)。110年國人死因統計結果。衛生福利部。擷取於9月1日2023年,https://www.mohw.gov.tw/cp-16-70314-1.html
衛生福利部國民健康署 (2014)。健康促進統計年報。衛生福利部國民健康署。擷取於9月10日2023年,https://www.hpa.gov.tw/Pages/Detail.aspx?nodeid=268&pid=7529
衛生福利部國民健康署 (2018)。全民身體活動指引。衛生福利部國民健康署。擷取於9月11日2023年,https://www.hpa.gov.tw/Pages/EBook.aspx?nodeid=1411
衛生福利部國民健康署 (2021)。110年健康促進統計年報。衛生福利部國民健康署。擷取於8月25日2023年,https://www.hpa.gov.tw/Pages/List.aspx?nodeid=118
Abe, T., Okuyama, K., Hamano, T., Takeda, M., Isomura, M., & Nabika, T. (2020). Hilly environment and physical activity among community-dwelling older adults in Japan: a cross-sectional study. BMJ Open, 10(3), e033338. https://doi.org/10.1136/bmjopen-2019-033338
Aggarwal, B., Xiong, Q., & Schroeder-Butterfill, E. (2020). Impact of the use of the internet on quality of life in older adults: review of literature. Primary Health Care Research & Development, 21, e55. https://doi.org/10.1017/s1463423620000584
Amagasa, S., Machida, M., Fukushima, N., Kikuchi, H., Takamiya, T., Odagiri, Y., & Inoue, S. (2018). Is objectively measured light-intensity physical activity associated with health outcomes after adjustment for moderate-to-vigorous physical activity in adults? A systematic review. International Journal of Behavioral Nutrition and Physical Activity, 15(1), 65. https://doi.org/10.1186/s12966-018-0695-z
Anderson, E., & Durstine, J. L. (2019). Physical activity, exercise, and chronic diseases: A brief review. Sports Medicine and Health Science, 1(1), 3-10. https://doi.org/10.1016/j.smhs.2019.08.006
Antonio, A., & Tuffley, D. (2014). The Gender Digital Divide in Developing Countries. Future Internet, 6(4), 673-687. https://www.mdpi.com/1999-5903/6/4/673
Arcury, T. A., Sandberg, J. C., Melius, K. P., Quandt, S. A., Leng, X., Latulipe, C., Miller, D. P., Smith, D. A., & Bertoni, A. G. (2018). Older Adult Internet Use and eHealth Literacy. Journal of Applied Gerontology, 39(2), 141-150. https://doi.org/10.1177/0733464818807468
Baceviciene, M., Jankauskiene, R., & Emeljanovas, A. (2019). Self-perception of physical activity and fitness is related to lower psychosomatic health symptoms in adolescents with unhealthy lifestyles. BMC Public Health, 19(1), 980. https://doi.org/10.1186/s12889-019-7311-2
Balogun, S. A., Aitken, D., Wu, F., Scott, D., Jones, G., & Winzenberg, T. (2021). Linear and Nonlinear Associations Between Physical Activity, Body Composition, and Multimorbidity Over 10 Years Among Community-Dwelling Older Adults. The Journals of Gerontology: Series A, 76(11), 2015-2020. https://doi.org/10.1093/gerona/glab086
Bauman, A., Merom, D., Bull, F. C., Buchner, D. M., & Fiatarone Singh, M. A. (2016). Updating the Evidence for Physical Activity: Summative Reviews of the Epidemiological Evidence, Prevalence, and Interventions to Promote “Active Aging”. The Gerontologist, 56(Suppl_2), S268-S280. https://doi.org/10.1093/geront/gnw031
Belojevic, G., Sokolova Djokic, L., Gligorova, B., Banjari, I., Stojanovic, M., & Stojanovic, D. (2018). Body Mass Index and the Literacy on Obesity in Relation to Media Following. Iranian Journal of Public Health, 47(8), 1166-1171. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123578/pdf/IJPH-47-1166.pdf
Bujnowska-Fedak, M. M. (2015). Trends in the use of the Internet for health purposes in Poland. BMC Public Health, 15(1), 194. https://doi.org/10.1186/s12889-015-1473-3
Bull, F. C., Al-Ansari, S. S., Biddle, S., Borodulin, K., Buman, M. P., Cardon, G., Carty, C., Chaput, J. P., Chastin, S., Chou, R., Dempsey, P. C., DiPietro, L., Ekelund, U., Firth, J., Friedenreich, C. M., Garcia, L., Gichu, M., Jago, R., Katzmarzyk, P. T., . . . Willumsen, J. F. (2020). World Health Organization 2020 guidelines on physical activity and sedentary behaviour. British Journal of Sports Medicine, 54(24), 1451-1462. https://doi.org/10.1136/bjsports-2020-102955
Buman, M. P., Winkler, E. A., Kurka, J. M., Hekler, E. B., Baldwin, C. M., Owen, N., Ainsworth, B. E., Healy, G. N., & Gardiner, P. A. (2014). Reallocating time to sleep, sedentary behaviors, or active behaviors: associations with cardiovascular disease risk biomarkers, NHANES 2005-2006. American Journal of Epidemiology, 179(3), 323-334. https://doi.org/10.1093/aje/kwt292
Campens, J., Vercruyssen, A., Schirmer, W., Verté, E., & De Witte, N. The association between internet non-use and multidimensional frailty in older adults: a three-wave cross-sectional study from 2004 to 2021. Behaviour & Information Technology, 43(10), 1957–1971. https://doi.org/10.1080/0144929X.2023.2235028
Caspersen, C. J., Powell, K. E., & Christenson, G. M. (1985). Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. Public Health Reports, 100(2), 126-131. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1424733/?page=1
Chang, J., McAllister, C., & McCaslin, R. (2015). Correlates of, and Barriers to, Internet Use Among Older Adults. Journal of Gerontological Social Work, 58(1), 66-85. https://doi.org/10.1080/01634372.2014.913754
Choi, N. G., & Dinitto, D. M. (2013). Internet use among older adults: association with health needs, psychological capital, and social capital. Journal of Medical Internet Research, 15(5), e97. https://doi.org/10.2196/jmir.2333
Costello, E., Kafchinski, M., Vrazel, J., & Sullivan, P. (2011). Motivators, Barriers, and Beliefs Regarding Physical Activity in an Older Adult Population. Journal of Geriatric Physical Therapy, 34(3), 138-147. https://doi.org/10.1519/JPT.0b013e31820e0e71
Cruz-Jesus, F., Vicente, María R., Bacao, F., & Oliveira, T. (2016). The education-related digital divide: An analysis for the EU-28. Computers in Human Behavior, 56, 72-82. https://doi.org/https://doi.org/10.1016/j.chb.2015.11.027
de Maio Nascimento, M., Araújo, J. V. S., da Cruz Neto, P. C., Rios, P. M. B., Silva, C. N., & Ihle, A. (2023). Internet-Based Video Program to Promote Physical Activity, Health, and Well-Being of Brazilian Older Adults during the COVID-19 Pandemic. Applied Sciences, 13(7), 4326. https://www.mdpi.com/2076-3417/13/7/4326
Dennis, M. A., & Kahn, R. (n.d.). Internet. Encyclopedia Britannica. Retrieved April 25, 2024 from https://www.britannica.com/technology/Internet
Dequanter, S., Gorus, E., Van Laere, S., De Witte, N., Verté, D., Steenhout, I., Fobelets, M., & Buyl, R. (2022). Internet use and cognitive frailty in older adults: a large-scale multidimensional approach. European Journal of Ageing, 19(4), 1135-1144. https://doi.org/10.1007/s10433-022-00686-2
Duplaga, M. (2021). The association between Internet use and health-related outcomes in older adults and the elderly: a cross-sectional study. BMC Medical Informatics and Decision Making, 21(1), 150. https://doi.org/10.1186/s12911-021-01500-2
E, Y., Yang, J., Niu, L., & Lu, C. (2023). The impact of internet use on health status among older adults in China: The mediating role of social support [Original Research]. Frontiers in Public Health, 11, 1108096. https://doi.org/10.3389/fpubh.2023.1108096
Ekelund, U., Tarp, J., Fagerland, M. W., Johannessen, J. S., Hansen, B. H., Jefferis, B. J., Whincup, P. H., Diaz, K. M., Hooker, S., Howard, V. J., Chernofsky, A., Larson, M. G., Spartano, N., Vasan, R. S., Dohrn, I.-M., Hagströmer, M., Edwardson, C., Yates, T., Shiroma, E. J., . . . Lee, I.-M. (2020). Joint associations of accelerometer-measured physical activity and sedentary time with all-cause mortality: a harmonised meta-analysis in more than 44 000 middle-aged and older individuals. British Journal of Sports Medicine, 54(24), 1499-1506. https://doi.org/10.1136/bjsports-2020-103270
Falck, R. S., McDonald, S. M., Beets, M. W., Brazendale, K., & Liu-Ambrose, T. (2016). Measurement of physical activity in older adult interventions: a systematic review. British Journal of Sports Medicine, 50(8), 464-470. https://doi.org/10.1136/bjsports-2014-094413
Fang, M. L., Canham, S. L., Battersby, L., Sixsmith, J., Wada, M., & Sixsmith, A. (2018). Exploring Privilege in the Digital Divide: Implications for Theory, Policy, and Practice. The Gerontologist, 59(1), e1-e15. https://doi.org/10.1093/geront/gny037
Fang, M. L., Canham, S. L., Battersby, L., Sixsmith, J., Wada, M., & Sixsmith, A. (2019). Exploring Privilege in the Digital Divide: Implications for Theory, Policy, and Practice. The Gerontologist, 59(1), e1-e15. https://doi.org/10.1093/geront/gny037
Fanning, J., Brinkley, T. E., Campbell, L. M., Colon-Semenza, C., Czaja, S. J., Moore, R. C., Pajewski, N. M., & Kritchevsky, S. (2024). Research Centers Collaborative Network Workshop on Digital Health Approaches to Research in Aging. Innovation in Aging, 8(2), igae012. https://doi.org/10.1093/geroni/igae012
Forsman, A. K., & Nordmyr, J. (2015). Psychosocial Links Between Internet Use and Mental Health in Later Life: A Systematic Review of Quantitative and Qualitative Evidence. Journal of Applied Gerontology, 36(12), 1471-1518. https://doi.org/10.1177/0733464815595509
Fox, S. (2011, May 12). The social life of health information, 2011. Pew Research Center. https://www.pewresearch.org/2011/05/12/the-social-life-of-health-information-2011/
Franklin, B. A., Eijsvogels, T. M. H., Pandey, A., Quindry, J., & Toth, P. P. (2022). Physical activity, cardiorespiratory fitness, and cardiovascular health: A clinical practice statement of the American Society for Preventive Cardiology Part II: Physical activity, cardiorespiratory fitness, minimum and goal intensities for exercise training, prescriptive methods, and special patient populations. American Journal of Preventive Cardiology, 12, 100425. https://doi.org/https://doi.org/10.1016/j.ajpc.2022.100425
Füzéki, E., Engeroff, T., & Banzer, W. (2017). Health Benefits of Light-Intensity Physical Activity: A Systematic Review of Accelerometer Data of the National Health and Nutrition Examination Survey (NHANES). Sports Medicine, 47(9), 1769-1793. https://doi.org/10.1007/s40279-017-0724-0
Guo, B., Zhang, X., Zhang, R., & Chen, G. (2022). The Association between Internet Use and Physical Exercise among Middle-Aged and Older Adults-Evidence from China. International Journal of Environmental Research and Public Health, 19(24). https://doi.org/10.3390/ijerph192416401
Guo, E., Li, J., Luo, L., Gao, Y., & Wang, Z. (2022). The effect and mechanism of Internet use on the physical health of the older people-Empirical analysis based on CFPS. Front Public Health, 10, 952858. https://doi.org/10.3389/fpubh.2022.952858
Haase, K. R., Cosco, T., Kervin, L., Riadi, I., & O'Connell, M. E. (2021). Older Adults' Experiences With Using Technology for Socialization During the COVID-19 Pandemic: Cross-sectional Survey Study. Journal of Medical Internet Research Aging, 4(2), e28010. https://doi.org/10.2196/28010
Hale, T. M. (2013). IS THERE SUCH A THING AS AN ONLINE HEALTH LIFESTYLE? Information, Communication & Society, 16(4), 501-518. https://doi.org/10.1080/1369118X.2013.777759
Haluza, D., & Jungwirth, D. (2015). ICT and the future of health care: aspects of health promotion. International Journal of Medical Informatics, 84(1), 48-57. https://doi.org/https://doi.org/10.1016/j.ijmedinf.2014.09.005
Hamer, M., & Stamatakis, E. (2013). Screen-based sedentary behavior, physical activity, and muscle strength in the English longitudinal study of ageing. PLoS One, 8(6), e66222. https://doi.org/10.1371/journal.pone.0066222
Heesch, K. C., Hill, R. L., Aguilar-Farias, N., van Uffelen, J. G. Z., & Pavey, T. (2018). Validity of objective methods for measuring sedentary behaviour in older adults: a systematic review. International Journal of Behavioral Nutrition and Physical Activity, 15(1), 119. https://doi.org/10.1186/s12966-018-0749-2
Hernández-Encuentra, E., Pousada, M., & Gómez-Zúñiga, B. (2009). ICT and Older People: Beyond Usability. Educational Gerontology, 35(3), 226-245. https://doi.org/10.1080/03601270802466934
Hootman, J. M. (2009). 2008 Physical Activity Guidelines for Americans: an opportunity for athletic trainers. Journal of Athletic Training, 44(1), 5-6. https://doi.org/10.4085/1062-6050-44.1.5
Howell, B. M. (2020). Interactions Between Diet, Physical Activity, and the Sociocultural Environment for Older Adult Health in the Urban Subarctic. Journal of Community Health, 45(2), 252-263. https://doi.org/10.1007/s10900-019-00737-3
Huang, P.-C., Chen, J.-S., Potenza, M. N., Griffiths, M. D., Pakpour, A. H., Chen, J.-K., Lin, Y.-C., Hung, C.-H., O'Brien, K. S., & Lin, C.-Y. (2022). Temporal associations between physical activity and three types of problematic use of the internet: A six-month longitudinal study. Journal of Behavioral Addictions, 11(4), 1055-1067. https://doi.org/https://doi.org/10.1556/2006.2022.00084
Hunsaker, A., & Hargittai, E. (2018). A review of Internet use among older adults. New Media & Society, 20(10), 3937-3954. https://doi.org/10.1177/1461444818787348
Huxhold, O., Hees, E., & Webster, N. J. (2020). Towards bridging the grey digital divide: changes in internet access and its predictors from 2002 to 2014 in Germany. European Journal of Ageing, 17(3), 271-280. https://doi.org/10.1007/s10433-020-00552-z
International Telecommunication Union. (n.d.). Statistics. ITU: Committed to connecting the world. Retrieved November 19, 2023 from https://www.itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx
Jefferis, B. J., Parsons, T. J., Sartini, C., Ash, S., Lennon, L. T., Papacosta, O., Morris, R. W., Wannamethee, S. G., Lee, I. M., & Whincup, P. H. (2019). Objectively measured physical activity, sedentary behaviour and all-cause mortality in older men: does volume of activity matter more than pattern of accumulation? British Journal of Sports Medicine, 53(16), 1013-1020. https://doi.org/10.1136/bjsports-2017-098733
Jones, G. R., Stathokostas, L., Young, B. W., Wister, A. V., Chau, S., Clark, P., Duggan, M., Mitchell, D., & Nordland, P. (2018). Development of a physical literacy model for older adults – a consensus process by the collaborative working group on physical literacy for older Canadians. BMC Geriatrics, 18(1), 13. https://doi.org/10.1186/s12877-017-0687-x
Karahasanovic, A., Brandtzaeg, P., Heim, J., Lüders, M., Vermeir, L., Pierson, J., Lievens, B., Vanattenhoven, J., & Jans, G. (2009). Co-creation and user-generated content–elderly people’s user requirements. Computers in Human Behavior, 25, 655-678. https://doi.org/10.1016/j.chb.2008.08.012
Karavidas, M., Lim, N. K., & Katsikas, S. L. (2005). The effects of computers on older adult users. Computers in Human Behavior, 21(5), 697-711. https://doi.org/https://doi.org/10.1016/j.chb.2004.03.012
Kelly, L. A., McMillan, D. G., Anderson, A., Fippinger, M., Fillerup, G., & Rider, J. (2013). Validity of actigraphs uniaxial and triaxial accelerometers for assessment of physical activity in adults in laboratory conditions. BMC Medical Physics, 13(1), 5. https://doi.org/10.1186/1756-6649-13-5
Kim, J., Lee, H. Y., Won, C. R., Barr, T., & Merighi, J. R. (2020). Older adults' technology use and its association with health and depressive symptoms: Findings from the 2011 National Health and Aging Trends Study. Nurs Outlook, 68(5), 560-572. https://doi.org/10.1016/j.outlook.2020.05.001
Kim, Y. S. (2008). Reviewing and Critiquing Computer Learning and Usage Among Older Adults. Educational Gerontology, 34(8), 709-735. https://doi.org/10.1080/03601270802000576
Koopman-Boyden, P. G., & Reid, S. L. (2009). Internet/E-mail Usage and Well-Being Among 65–84 Year Olds in New Zealand: Policy Implications. Educational Gerontology, 35(11), 990-1007. https://doi.org/10.1080/03601270902917745
Kudo, N., Nishide, R., Mizutani, M., Ogawa, S., & Tanimura, S. (2021). Association between the type of physical activity and metabolic syndrome in middle-aged and older adult residents of a semi-mountainous area in Japan. Environmental Health and Preventive Medicine, 26(1), 46. https://doi.org/10.1186/s12199-021-00949-x
Lai, T. F., Liao, Y., Hsueh, M. C., Yen, H. Y., Park, J. H., & Chang, J. H. (2022). Substituting sedentary time with physical activity in youngest-old to oldest-old community-dwelling older adults: Associations with body composition. Front Public Health, 10, 837213. https://doi.org/10.3389/fpubh.2022.837213
Lee, H.-J., Lee, Y., & Yun, J. (2020). Factors Associated with Physical Activity in Older Adults by Region: Based on the 2017 Community Health Survey. Journal of Korean Academy of Community Health Nursing. 31. 563. 10.12799/jkachn.2020.31.S.563.
Lee, I. M., Shiroma, E. J., Lobelo, F., Puska, P., Blair, S. N., Katzmarzyk, P. T., & Lancet Physical Activity Series Working Group (2012). Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet (London, England), 380(9838), 219–229. https://doi.org/10.1016/S0140-6736(12)61031-9
Lee, L. Y.-k., Pang, R. C.-k., & Tiu, M. M.-h. (2023). Physical Activity Level of Physically Independent Older Adults in a Densely Populated City. Journal of Aging and Physical Activity, 31(3), 371-382. https://doi.org/10.1123/japa.2021-0344
Li, P., Zhang, C., Gao, S., Zhang, Y., Liang, X., Wang, C., Zhu, T., & Li, W. (2023). Association Between Daily Internet Use and Incidence of Chronic Diseases Among Older Adults: Prospective Cohort Study. Journal of Medical Internet Research, 25, e46298. https://doi.org/10.2196/46298
Lin, Y. H., Chen, Y. C., Tseng, Y. C., Tsai, S. T., & Tseng, Y. H. (2020). Physical activity and successful aging among middle-aged and older adults: a systematic review and meta-analysis of cohort studies. Aging (Albany NY), 12(9), 7704-7716. https://doi.org/10.18632/aging.103057
Lythreatis, S., Singh, S. K., & El-Kassar, A.-N. (2022). The digital divide: A review and future research agenda. Technological Forecasting and Social Change, 175, 121359. https://doi.org/10.1016/j.techfore.2021.121359
Mardikyan, S., Yildiz, E. A., Ordu, M. D., & Simsek, B. (2015). Examining the Global Digital Divide: A Cross-Country Analysis. Communications of the IBIMA, 2015, h1-11. https://doi.org/10.5171/2015.592253
Marques, L. P., Schneider, I. J. C., & d'Orsi, E. (2016). Quality of life and its association with work, the Internet, participation in groups and physical activity among the elderly from the EpiFloripa survey, Florianópolis, Santa Catarina State, Brazil. Cadernos de saude publica, 32, e00143615. https://doi.org/10.1590/0102-311X00143615
Matthews, C. E., Keadle, S. K., Troiano, R. P., Kahle, L., Koster, A., Brychta, R., Van Domelen, D., Caserotti, P., Chen, K. Y., Harris, T. B., & Berrigan, D. (2016). Accelerometer-measured dose-response for physical activity, sedentary time, and mortality in US adults. American Journal of Clinical Nutritionr, 104(5), 1424-1432. https://doi.org/10.3945/ajcn.116.135129
McGarrigle, L., & Todd, C. (2020). Promotion of Physical Activity in Older People Using mHealth and eHealth Technologies: Rapid Review of Reviews. Journal of Medical Internet Research, 22(12), e22201. https://doi.org/10.2196/22201
McPhee, J. S., French, D. P., Jackson, D., Nazroo, J., Pendleton, N., & Degens, H. (2016). Physical activity in older age: perspectives for healthy ageing and frailty. Biogerontology, 17(3), 567-580. https://doi.org/10.1007/s10522-016-9641-0
Migueles, J. H., Cadenas-Sanchez, C., Ekelund, U., Delisle Nyström, C., Mora-Gonzalez, J., Löf, M., Labayen, I., Ruiz, J. R., & Ortega, F. B. (2017). Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations. Sports Medicine, 47(9), 1821-1845. https://doi.org/10.1007/s40279-017-0716-0
Nam, S., Han, S. H., & Gilligan, M. (2019). Internet Use and Preventive Health Behaviors Among Couples in Later Life: Evidence from the Health and Retirement Study. The Gerontologist, 59(1), 69-77. https://doi.org/10.1093/geront/gny044
Obi, T., Ishmatova, D., & Iwasaki, N. (2013). Promoting ICT innovations for the ageing population in Japan. International Journal of Medical Informatics, 82(4), e47-e62. https://doi.org/https://doi.org/10.1016/j.ijmedinf.2012.05.004
Peng, Y.-I., & Chan, Y.-S. (2018). Do Internet Users Lead a Healthier Lifestyle? Journal of Applied Gerontology, 39(3), 277-284. https://doi.org/10.1177/0733464818785797
Piercy, K. L., Troiano, R. P., Ballard, R. M., Carlson, S. A., Fulton, J. E., Galuska, D. A., George, S. M., & Olson, R. D. (2018). The Physical Activity Guidelines for Americans. Journal of the American Medical Association, 320(19), 2020-2028. https://doi.org/10.1001/jama.2018.14854
Pourrazavi, S., Kouzekanani, K., Asghari Jafarabadi, M., Bazargan-Hejazi, S., Hashemiparast, M., & Allahverdipour, H. (2022). Correlates of Older Adults' E-Health Information-Seeking Behaviors. Gerontology, 68(8), 935-942. https://doi.org/10.1159/000521251
Pratt, M., Sarmiento, O. L., Montes, F., Ogilvie, D., Marcus, B. H., Perez, L. G., & Brownson, R. C. (2012). The implications of megatrends in information and communication technology and transportation for changes in global physical activity. Lancet (London, England), 380(9838), 282-293. https://doi.org/10.1016/s0140-6736(12)60736-3
Ramakrishnan, R., Doherty, A., Smith-Byrne, K., Rahimi, K., Bennett, D., Woodward, M., Walmsley, R., & Dwyer, T. (2021). Accelerometer measured physical activity and the incidence of cardiovascular disease: Evidence from the UK Biobank cohort study. PLOS Medicine, 18(1), e1003487. https://doi.org/10.1371/journal.pmed.1003487
Sasaki, S., Sato, A., Tanabe, Y., Matsuoka, S., Adachi, A., Kayano, T., Yamazaki, H., Matsuno, Y., Nakano, A., & Watanabe, T. (2022). Internet use and physical activity of older adults during the COVID-19 pandemic: a cross-sectional study in a northern Japanese City. BMC Geriatrics, 22(1), 688. https://doi.org/10.1186/s12877-022-03360-5
Satake, S., Kinoshita, K., & Arai, H. (2021). More Active Participation in Voluntary Exercise of Older Users of Information and Communicative Technology even during the COVID-19 Pandemic, Independent of Frailty Status. The Journal of Nutrition, Health and Aging, 25(4), 516-519. https://doi.org/10.1007/s12603-021-1598-2
Savikangas, T., Tirkkonen, A., Alen, M., Rantanen, T., Fielding, R. A., Rantalainen, T., & Sipilä, S. (2020). Associations of physical activity in detailed intensity ranges with body composition and physical function. a cross-sectional study among sedentary older adults. European Review of Aging and Physical Activity, 17, 4. https://doi.org/10.1186/s11556-020-0237-y
Scantlebury, A., Booth, A., & Hanley, B. (2017). Experiences, practices and barriers to accessing health information: A qualitative study. International Journal of Medical Informatics, 103, 103-108. https://doi.org/https://doi.org/10.1016/j.ijmedinf.2017.04.018
Schmidt, L. L., Johnson, S., Rebecca Genoe, M., Jeffery, B., & Crawford, J. (2022). Social Interaction and Physical Activity Among Rural Older Adults: A Scoping Review. Journal of Aging and Physical Activity, 30(3), 495-509. https://doi.org/10.1123/japa.2021-0046
Schrack, J. A., Cooper, R., Koster, A., Shiroma, E. J., Murabito, J. M., Rejeski, W. J., Ferrucci, L., & Harris, T. B. (2016). Assessing Daily Physical Activity in Older Adults: Unraveling the Complexity of Monitors, Measures, and Methods. Journals of Gerontology Series A-Biological Sciences and Medical Sciences, 71(8), 1039-1048. https://doi.org/10.1093/gerona/glw026
Shapira, N., Barak, A., & Gal, I. (2007). Promoting older adults' well-being through Internet training and use. Aging & Mental Health, 11(5), 477-484. https://doi.org/10.1080/13607860601086546
Sin, F., Berger, S., Kim, I.-J., & Yoon, D. (2021). Digital Social Interaction in Older Adults During the COVID-19 Pandemic. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW2), 1-20. https://doi.org/10.1145/3479524
Singla, D., Desai, O. P., Basista, R., & Khan, S. A. (2023). Association Between Internet Use, Sleep, Cognition and Physical Activity Levels During COVID-19 Lockdown. Sleep and Vigilance, 7(1), 87-96. https://doi.org/10.1007/s41782-023-00232-9
Sum, S., Mathews, R. M., Hughes, I., & Campbell, A. (2008). Internet use and loneliness in older adults. Cyberpsychology & behavior: the impact of the Internet, multimedia and virtual reality on behavior and society, 11(2), 208-211. https://doi.org/10.1089/cpb.2007.0010
Szabo, A., Allen, J., Stephens, C., & Alpass, F. (2018). Longitudinal Analysis of the Relationship Between Purposes of Internet Use and Well-being Among Older Adults. The Gerontologist, 59(1), 58-68. https://doi.org/10.1093/geront/gny036
Takamura, M., Sone, T., Kawamura, T., Suzuki, R., Moriyama, N., & Yasumura, S. (2021). A Cross-Sectional Study on the Characteristics of Physical Activity in Pre-Frail Older Adults. International Journal of Environmental Research and Public Health, 18(23), 12328. https://www.mdpi.com/1660-4601/18/23/12328
Tang, D., Jin, Y., Zhang, K., & Wang, D. (2022). Internet Use, Social Networks, and Loneliness Among the Older Population in China. Frontiers in Psychology, 13, 895141. https://doi.org/10.3389/fpsyg.2022.895141
Tian, Y., & Robinson, J. D. (2008). Incidental health information use and media complementarity: a comparison of senior and non-senior cancer patients. Patient Education and Counseling, 71(3), 340-344. https://doi.org/10.1016/j.pec.2008.02.006
Troiano, R., Berrigan, D., Dodd, K., Masse, L., Tilert, T., & McDowell, M. (2008). Physical Activity in the United States Measured by Accelerometer. Medicine & Science in Sports & Exercise, 40, 181-188. https://doi.org/10.1249/mss.0b013e31815a51b3
Uemura, K., Yamada, M., & Okamoto, H. (2020). The Effectiveness of an Active Learning Program in Promoting a Healthy Lifestyle among Older Adults with Low Health Literacy: A Randomized Controlled Trial. Gerontology, 67(1), 25-35. https://doi.org/10.1159/000511357
United Nations. (2023). Aging. Retrieved November 19,2023 from https://www.un.org/en/global-issues/ageing
van Deursen, A. J., & van Dijk, J. A. (2019). The first-level digital divide shifts from inequalities in physical access to inequalities in material access. New Media & Society, 21(2), 354-375. https://doi.org/10.1177/1461444818797082
Walker, D. M., Hefner, J. L., Fareed, N., Huerta, T. R., & McAlearney, A. S. (2020). Exploring the Digital Divide: Age and Race Disparities in Use of an Inpatient Portal. Telemedicine Journal and e-Health, 26(5), 603-613. https://doi.org/10.1089/tmj.2019.0065
Wang, L., Rau, P.-L. P., & Salvendy, G. (2011). Older Adults' Acceptance of Information Technology. Educational Gerontology, 37(12), 1081-1099. https://doi.org/10.1080/03601277.2010.500588
Wang, Y., Xu, J., & Xie, T. (2022). The Association of Internet Use Intensity and Lifestyle Behaviors During the COVID-19 Pandemic: A Cross-Sectional Study in Chinese Adults [Original Research]. Frontiers in Public Health, 10, 934306. https://doi.org/10.3389/fpubh.2022.934306
We Are Social, & Meltwater. (2023, January 26). Digital 2023 Global Overview Report. https://datareportal.com/reports/digital-2023-global-overview-report
Weiser, E. B. (2001). The functions of internet use and their social and psychological consequences. Cyberpsychology, Behavior, and Social Networking, 4(6), 723-743. https://doi.org/10.1089/109493101753376678
Wen, W., Zhang, Y., Shi, W., & Li, J. (2023). Association Between Internet Use and Physical Health, Mental Health, and Subjective Health in Middle-aged and Older Adults: Nationally Representative Cross-sectional Survey in China. Journal of Medical Internet Research, 25, e40956. https://doi.org/10.2196/40956
White, H., McConnell, E., Clipp, E., Branch, L. G., Sloane, R., Pieper, C., & Box, T. L. (2002). A randomized controlled trial of the psychosocial impact of providing internet training and access to older adults. Aging & Mental Health, 6(3), 213-221. https://doi.org/10.1080/13607860220142422
World Health Organization. (2020). WHO guidelines on physical activity and sedentary behaviour. Retrieved August 24,2023 from https://www.who.int/publications/i/item/9789240015128
World Health Organization. (2022a). Global status report on physical activity 2022: country profiles. World Health Organization Retrieved October 12, 2023 from https://www.who.int/publications/i/item/9789240064119
World Health Organization. (2022b). Physical activity. World Health Organization Retrieved October 12, 2023 from https://www.who.int/news-room/fact-sheets/detail/physical-activity
Xavier, A. J., d'Orsi, E., Wardle, J., Demakakos, P., Smith, S. G., & von Wagner, C. (2013). Internet use and cancer-preventive behaviors in older adults: findings from a longitudinal cohort study. Cancer Epidemiology, Biomarkers & Prevention, 22(11), 2066-2074. https://doi.org/10.1158/1055-9965.Epi-13-0542
Zhang, S., & Zhang, Y. (2021). The Relationship Between Internet Use and Mental Health Among Older Adults in China: The Mediating Role of Physical Exercise. Risk Management and Healthcare Policy, 14(null), 4697-4708. https://doi.org/10.2147/RMHP.S338183
Zhang, Y., Chen, G., & Qi, S. (2023). Digital media use and the Chinese elderly’s physical activity: Evidence from a national aging social survey. In: Research Square. https://doi.org/10.21203/rs.3.rs-2534041/v1
Zheng, Y., Wei, D., Li, J., Zhu, T., & Ning, H. (2016). Internet Use and Its Impact on Individual Physical Health. IEEE Access, 4, 5135-5142. https://doi.org/10.1109/ACCESS.2016.2602301
Zhou, Y., Bai, Y., & Wang, J. (2024). The impact of internet use on health among older adults in China: a nationally representative study. BMC Public Health, 24(1), 1065. https://doi.org/10.1186/s12889-024-18269-4