{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T23:37:31Z","timestamp":1769816251012,"version":"3.49.0"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"1","funder":[{"DOI":"10.13039\/100008982","name":"Qatar National Research Fund","doi-asserted-by":"publisher","award":["#NPRP X- 036- 3- 013"],"award-info":[{"award-number":["#NPRP X- 036- 3- 013"]}],"id":[{"id":"10.13039\/100008982","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Inform Decis Mak"],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1186\/s12911-017-0432-6","type":"journal-article","created":{"date-parts":[[2017,4,12]],"date-time":"2017-04-12T22:20:26Z","timestamp":1492035626000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Implementing 360\u00b0 Quantified Self for childhood obesity: feasibility study and experiences from a weight loss camp in Qatar"],"prefix":"10.1186","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8165-9904","authenticated-orcid":false,"given":"Luis","family":"Fernandez-Luque","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meghna","family":"Singh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ferda","family":"Ofli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yelena A","family":"Mejova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ingmar","family":"Weber","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Aupetit","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sahar Karim","family":"Jreige","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmed","family":"Elmagarmid","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jaideep","family":"Srivastava","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed","family":"Ahmedna","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,4,13]]},"reference":[{"issue":"5","key":"432_CR1","doi-asserted-by":"crossref","first-page":"1257","DOI":"10.3945\/ajcn.2010.29786","volume":"92","author":"M Onis de","year":"2010","unstructured":"de Onis M, Blossner M, Borghi E. Global prevalence and trends of overweight and obesity among preschool children. Am J Clin Nutr. 2010;92(5):1257\u201364.","journal-title":"Am J Clin Nutr"},{"issue":"8","key":"432_CR2","doi-asserted-by":"crossref","first-page":"806","DOI":"10.1001\/jama.2014.732","volume":"311","author":"CL Ogden","year":"2014","unstructured":"Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the united states, 2011\u20132012. JAMA. 2014;311(8):806\u201314.","journal-title":"JAMA"},{"key":"432_CR3","doi-asserted-by":"publisher","unstructured":"Haddadi H, Ofli F, Mejova Y, Weber I, Srivastava J. 360\u00b0 Quantified Self. IEEE International Conference on Health Informatics (ICHI). 2015;587\u201392. doi: 10.1109\/ICHI.2015.95 .","DOI":"10.1109\/ICHI.2015.95"},{"key":"432_CR4","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/S0140-6736(15)00910-1","volume":"386","author":"MJ Taylor","year":"2015","unstructured":"Taylor MJ, Vlaev I, Taylor D, Gately P, Ahmedna M, Kerkadi A, Lothian J, Alsaadi A, Al-Kuwari M, Gholoum S, Al-Kuwari H, Darzi A. A weight-management camp followed by weekly after-school lifestyle education sessions as an obesity intervention for Qatari children: a prospective cohort study. Lancet. 2015;386:72.","journal-title":"Lancet"},{"key":"432_CR5","doi-asserted-by":"crossref","unstructured":"Zhang X, Han X, Dang Y, Meng F, Guo X, Lin J. User acceptance of mobile health services from users\u2019 perspectives: The role of self-efficacy and response-efficacy in technology acceptance. Informatics for Health and Social Care. 2017;42(2):194\u2013206.","DOI":"10.1080\/17538157.2016.1200053"},{"issue":"15","key":"432_CR6","doi-asserted-by":"crossref","first-page":"1999","DOI":"10.1161\/01.CIR.0000161369.71722.10","volume":"111","author":"SR Daniels","year":"2005","unstructured":"Daniels SR, Arnett DK, Eckel RH, Gidding SS, Hayman LL, Kumanyika S, Robinson TN, Scott BJ, StJeor S, Williams CL. Overweight in children and adolescents. Circulation. 2005;111(15):1999\u20132012.","journal-title":"Circulation"},{"issue":"1","key":"432_CR7","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.jpeds.2006.08.042","volume":"150","author":"DS Freedman","year":"2007","unstructured":"Freedman DS, Mei Z, Srinivasan SR, Berenson GS, Dietz WH. Cardiovascular risk factors and excess adiposity among overweight children and adolescents: the Bogalusa Heart Study. J Pediatr. 2007;150(1):12\u2013172.","journal-title":"J Pediatr"},{"issue":"2","key":"432_CR8","doi-asserted-by":"crossref","first-page":"342","DOI":"10.2337\/dc08-1128","volume":"32","author":"C Li","year":"2009","unstructured":"Li C, Ford ES, Zhao G, Mokdad AH. Prevalence of pre-diabetes and its association with clustering of cardiometabolic risk factors and hyperinsulinemia among U.S. adolescents: National Health and Nutrition Examination Survey 2005\u20132006. Diabetes Care. 2009;32(2):342\u20137.","journal-title":"Diabetes Care"},{"issue":"20","key":"432_CR9","doi-asserted-by":"crossref","first-page":"2100","DOI":"10.1056\/NEJMcp043052","volume":"352","author":"WH Dietz","year":"2005","unstructured":"Dietz WH, Robinson TN. Overweight Children and Adolescents. N Engl J Med. 2005;352(20):2100\u20139.","journal-title":"N Engl J Med"},{"key":"432_CR10","doi-asserted-by":"crossref","unstructured":"Arora, T., Broglia, E., Pushpakumar, e.a.: An Investigation into the Strength of the Association and Agreement Levels between Subjective and Objective Sleep Duration in Adolescents. PLoS ONE 8(8), 72406 (2013)","DOI":"10.1371\/journal.pone.0072406"},{"issue":"6","key":"432_CR11","doi-asserted-by":"crossref","first-page":"1647","DOI":"10.1542\/peds.2012-1176","volume":"130","author":"M Ho","year":"2012","unstructured":"Ho M, Garnett SP, Baur L, Burrows T, Stewart L, Neve M, Collins C. Effectiveness of lifestyle interventions in child obesity: systematic review with meta-analysis. Pediatrics. 2012;130(6):1647\u201371.","journal-title":"Pediatrics"},{"issue":"4","key":"432_CR12","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1056\/NEJMsa066082","volume":"357","author":"NA Christakis","year":"2007","unstructured":"Christakis NA, Fowler JH. The spread of obesity in a large social network over 32 year. N Engl J Med. 2007;357(4):370\u20139.","journal-title":"N Engl J Med"},{"issue":"Pt 1","key":"432_CR13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1348\/135910709X466063","volume":"15","author":"KE Heron","year":"2010","unstructured":"Heron KE, Smyth JM. Ecological momentary interventions: incorporating mobile technology into psychosocial and health behavior treatments. Br J Health Psychol. 2010;15(Pt 1):1\u201339.","journal-title":"Br J Health Psychol"},{"key":"432_CR14","unstructured":"Fox S, Duggan M. Tracking for Health. Technical report, Pew Research Center (2013). http:\/\/pewinternet.org\/Reports\/2013\/Tracking-for-Health.aspx . Accessed 2 Apr 2017."},{"issue":"2","key":"432_CR15","doi-asserted-by":"crossref","first-page":"492","DOI":"10.3390\/ijerph6020492","volume":"6","author":"M Swan","year":"2009","unstructured":"Swan M. Melanie: emerging patient-driven health care models: an examination of health social networks, consumer personalized medicine and quantified self-tracking. Int J Environ Res Public Health. 2009;6(2):492\u2013525.","journal-title":"Int J Environ Res Public Health"},{"key":"432_CR16","doi-asserted-by":"crossref","unstructured":"Wang, Y., Weber, I., Mitra, P.: Quantified Self Meets Social Media: Sharing of Weight Updates on Twitter (2016)","DOI":"10.1145\/2896338.2896363"},{"key":"432_CR17","doi-asserted-by":"publisher","unstructured":"Fatema Akbar IW. #sleep as android: Feasibility of using sleep logs on twitter for sleep studies. International Conference on Health Informatics (ICHI). 2016. p. 227\u2013233. doi: 10.1109\/ICHI.2016.32 .","DOI":"10.1109\/ICHI.2016.32"},{"key":"432_CR18","doi-asserted-by":"crossref","first-page":"62","DOI":"10.5888\/pcd12.140402","volume":"12","author":"JK Harris","year":"2015","unstructured":"Harris JK, Mart A, Moreland-Russell S, Caburnay CA. Diabetes topics associated with engagement on twitter. Prev Chronic Dis. 2015;12:62.","journal-title":"Prev Chronic Dis"},{"key":"432_CR19","doi-asserted-by":"crossref","unstructured":"Abbar, S., Mejova, Y., Weber, I.: You Tweet What You Eat: Studying Food Consumption Through Twitter. Conference on Human Factors in Computing Systems (ACM CHI) (2015)","DOI":"10.1145\/2702123.2702153"},{"key":"432_CR20","unstructured":"Gimpel H, Ni\u00dfen M, Gorlitz RA. Quantifying the quantified self: A study on the motivation of patients to track their own health. In: ICIS 2013. 2013. pp. 128\u2013133."},{"issue":"3","key":"432_CR21","doi-asserted-by":"crossref","first-page":"217","DOI":"10.3390\/jsan1030217","volume":"1","author":"M Swan","year":"2012","unstructured":"Swan M. Sensor mania! the internet of things, wearable computing, objective metrics, and the quantified self 2.0. J Sensor Actuator Netw. 2012;1(3):217\u201353.","journal-title":"J Sensor Actuator Netw"},{"issue":"6","key":"432_CR22","doi-asserted-by":"crossref","first-page":"3119","DOI":"10.1109\/JSEN.2014.2357257","volume":"15","author":"MM Rodgers","year":"2015","unstructured":"Rodgers MM, Pai VM, Conroy RS. Recent advances in wearable sensors for health monitoring. IEEE Sensors J. 2015;15(6):3119\u201326.","journal-title":"IEEE Sensors J"},{"issue":"3","key":"432_CR23","doi-asserted-by":"crossref","first-page":"93","DOI":"10.3390\/jpm2030093","volume":"2","author":"M Swan","year":"2012","unstructured":"Swan M. Health 2050: the realization of personalized medicine through crowdsourcing, the quantified self, and the participatory biocitizen. J Personalized Med. 2012;2(3):93\u2013118.","journal-title":"J Personalized Med"},{"issue":"3","key":"432_CR24","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1089\/big.2015.0012","volume":"3","author":"O Azmak","year":"2015","unstructured":"Azmak O, Bayer H, Caplin A, Chun M, Glimcher P, Koonin S, Patrinos A. Using Big data to understand the human condition: the kavli HUMAN project. Big data. 2015;3(3):173\u201388.","journal-title":"Big data"},{"issue":"1","key":"432_CR25","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1186\/s12984-016-0136-7","volume":"13","author":"C Godinho","year":"2016","unstructured":"Godinho C, Domingos J, Cunha G, Santos AT, Fernandes RM, Abreu D, Goncalves N, Matthews H, Isaacs T, Duffen J, Al-Jawad A, Larsen F, Serrano A, Weber P, Thoms A, Sollinger S, Graessner H, Maetzler W, Ferreira JJ. A systematic review of the characteristics and validity of monitoring technologies to assess Parkinson\u2019s disease. J Neuroeng Rehabil. 2016;13(1):24.","journal-title":"J. Neuroeng. Rehabil."},{"issue":"Apr","key":"432_CR26","first-page":"1097","volume":"13","author":"I Tsamardinos","year":"2012","unstructured":"Tsamardinos I, Triantafillou S, Lagani V. Towards integrative causal analysis of heterogeneous data sets and studies. J Mach Learn Res. 2012;13(Apr):1097\u2013157.","journal-title":"J Mach Learn Res"},{"issue":"4","key":"432_CR27","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1089\/big.2014.0068","volume":"2","author":"J Hendler","year":"2014","unstructured":"Hendler J. Data integration for heterogenous datasets. Big data. 2014;2(4):205\u201315.","journal-title":"Big data"},{"key":"432_CR28","doi-asserted-by":"crossref","unstructured":"Shneiderman, B.: The eyes have it: A task by data type taxonomy for information visualizations. In: VL \u201996: Proceedings of the 1996 IEEE Symposium on Visual Languages, p. 336. IEEE Computer Society (1996)","DOI":"10.1109\/VL.1996.545307"},{"key":"432_CR29","first-page":"29","volume":"2014","author":"MM Alotaibi","year":"2014","unstructured":"Alotaibi MM, Istepanian RSH, Sungoor A, Philip N. An intelligent mobile diabetes management and educational system for Saudi Arabia: System architecture. In: 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics. BHI. 2014;2014:29\u201332.","journal-title":"BHI"},{"key":"432_CR30","unstructured":"Alhazbi, S., Alkhateeb, M.: Mobile application for diabetes control in Qatar. Computing Technology and Information Management (ICCM), 2012 8th International Conference on, Volume: 2 (1), 763\u2013766 (2012)"},{"key":"432_CR31","doi-asserted-by":"crossref","unstructured":"Mansar, S.L., Kekre, S.: A founding framework for addressing obesity in Qatar using mobile technologies. In: Communications in Computer and Information Science, vol. 221 CCIS, pp. 402\u2013412 (2011)","DOI":"10.1007\/978-3-642-24352-3_42"},{"issue":"4","key":"432_CR32","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1109\/MCG.2015.51","volume":"35","author":"EK Choe","year":"2015","unstructured":"Choe EK, Lee B, Schraefel MC. Characterizing visualization insights from quantified Selfers\u2019 personal data presentations. IEEE Comput Graph Appl. 2015;35(4):28\u201337.","journal-title":"IEEE Comput Graph Appl"},{"key":"432_CR33","unstructured":"Larsen, J.E., Cuttone, A., Lehmann, S.: QS Spiral : Visualizing Periodic Quantified Self Data. Personal Informatics in the Wild: Hacking Habits for Health & Happiness \u2014 CHI 2013 Workshop, 5\u20138 (2013)"},{"key":"432_CR34","doi-asserted-by":"crossref","unstructured":"West, V.L., Borland, D., Hammond, W.E.: Innovative information visualization of electronic health record data: a systematic review. Journal of the American Medical Informatics Association : JAMIA, 1\u20137 (2014)","DOI":"10.1136\/amiajnl-2014-002955"},{"issue":"3","key":"432_CR35","doi-asserted-by":"crossref","first-page":"010579","DOI":"10.1136\/bmjopen-2015-010579","volume":"6","author":"MA Badgeley","year":"2016","unstructured":"Badgeley MA, Shameer K, Glicksberg BS, Tomlinson MS, Levin MA, McCormick PJ, Kasarskis A, Reich DL, Dudley JT. EHDViz: clinical dashboard development using open-source technologies. BMJ Open. 2016;6(3):010579.","journal-title":"BMJ Open"},{"key":"432_CR36","doi-asserted-by":"crossref","unstructured":"de Folter, J., Gokalp, H., Fursse, J., Sharma, U., Clarke, M., Crepeau, e.a.: Designing effective visualizations of habits data to aid clinical decision making. BMC Medical Informatics and Decision Making 2014 14:1 14(1), 942\u2013945 (2014)","DOI":"10.1186\/s12911-014-0102-x"},{"issue":"1","key":"432_CR37","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1186\/s12911-016-0275-6","volume":"16","author":"A Ledesma","year":"2016","unstructured":"Ledesma A, Al-Musawi M, Nieminen H, Hood L, Flores C, Shneiderman B. Health figures: an open source JavaScript library for health data visualization. BMC Med Inform Decis Mak. 2016;16(1):38.","journal-title":"BMC Med Inform Decis Mak"},{"key":"432_CR38","unstructured":"Peters DH, Tran NT, Adam T. Implementation Research in Health: A Practical Guide. WHO; 2013. p. 1\u201369."},{"issue":"6","key":"432_CR39","doi-asserted-by":"crossref","first-page":"889","DOI":"10.1197\/jamia.M3085","volume":"16","author":"S Bakken","year":"2009","unstructured":"Bakken S, Ruland CM. Translating clinical informatics interventions into routine clinical care: How Can the RE-AIM framework help? J Am Med Inform Assoc. 2009;16(6):889\u201397.","journal-title":"J Am Med Inform Assoc"},{"key":"432_CR40","doi-asserted-by":"crossref","unstructured":"Abbott, P.A., Foster, J., Marin, H.d.F., Dykes, P.C.: Complexity and the science of implementation in health IT\u2013knowledge gaps and future visions. International journal of medical informatics 83(7), 12\u201322 (2014)","DOI":"10.1016\/j.ijmedinf.2013.10.009"}],"updated-by":[{"DOI":"10.1186\/s12911-017-0457-x","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2017,5,12]],"date-time":"2017-05-12T00:00:00Z","timestamp":1494547200000}}],"container-title":["BMC Medical Informatics and Decision Making"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12911-017-0432-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,20]],"date-time":"2019-09-20T20:57:11Z","timestamp":1569013031000},"score":1,"resource":{"primary":{"URL":"http:\/\/bmcmedinformdecismak.biomedcentral.com\/articles\/10.1186\/s12911-017-0432-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,4,13]]},"references-count":40,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017,12]]}},"alternative-id":["432"],"URL":"https:\/\/doi.org\/10.1186\/s12911-017-0432-6","relation":{"correction":[{"id-type":"doi","id":"10.1186\/s12911-017-0457-x","asserted-by":"object"}]},"ISSN":["1472-6947"],"issn-type":[{"value":"1472-6947","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,4,13]]},"article-number":"37"}}