Effects of a mobile healthcare service provided by public health centers on practicing of health behaviors and health risk factors |
Kim, Tae-Yon
(Korea Health Promotion Institute)
Lee, Yun-Su (Korea Health Promotion Institute) Yu, Eun-Jung (Korea Health Promotion Institute) Kim, Min-Su (Korea Health Promotion Institute) Yang, Sun-Young (Korea Health Promotion Institute) Hur, Yang-Im (Department of Family Medicine, Seoul Paik Hospital, Inje University College of Medicine) Kang, Jae-Heon (Department of Family Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University College of Medicine) |
1 | Murdock A, Rodgers C, Lindsay H, Tham TC. Why do patients not keep their appointments? Prospective study in a gastroenterology outpatient clinic. J R Soc Med 2002;95:284-6. DOI |
2 | Paterson BL, Charlton P, Richard S. Non-attendance in chronic disease clinics: a matter of non-compliance? J Nurs Healthc Chronic Illn 2010;2:63-74. DOI |
3 | Glynn LG, Hayes PS, Casey M, Glynn F, Alvarez-Iglesias A, Newell J, OLaighin G, Heaney D, O'Donnell M, Murphy AW. Effectiveness of a smartphone application to promote physical activity in primary care: the SMART MOVE randomised controlled trial. Br J Gen Pract 2014;64:e384-91. DOI |
4 | Spring B, Gotsis M, Paiva A, Spruijt-Metz D. Healthy apps: mobile devices for continuous monitoring and intervention. IEEE Pulse 2013;4:34-40. DOI |
5 | Davies CA, Spence JC, Vandelanotte C, Caperchione CM, Mummery WK. Meta-analysis of internet-delivered interventions to increase physical activity levels. Int J Behav Nutr Phys Act 2012;9:52. DOI |
6 | Dennison L, Morrison L, Conway G, Yardley L. Opportunities and challenges for smartphone applications in supporting health behavior change: qualitative study. J Med Internet Res 2013;15:e86. DOI |
7 | World Health Organization. mHealth: new horizons for health through mobile technologies [Internet]. Geneva: World Health Organization; 2011 [cited 2017 December 5]. Available from: http://www.who.int/goe/publications/goe_mhealth_web.pdf. |
8 | Oh B, Cho B, Han MK, Choi H, Lee MN, Kang HC, Lee CH, Yun H, Kim Y. The effectiveness of mobile phone-based care for weight control in metabolic syndrome patients: randomized controlled trial. JMIR Mhealth Uhealth 2015;3:e83. DOI |
9 | Riley WT, Rivera DE, Atienza AA, Nilsen W, Allison SM, Mermelstein R. Health behavior models in the age of mobile interventions: are our theories up to the task? Transl Behav Med 2011;1:53-71. DOI |
10 | Payne HE, Lister C, West JH, Bernhardt JM. Behavioral functionality of mobile apps in health interventions: a systematic review of the literature. JMIR Mhealth Uhealth 2015;3:e20. DOI |
11 | Patrick K, Griswold WG, Raab F, Intille SS. Health and the mobile phone. Am J Prev Med 2008;35:177-81. DOI |
12 | Schoeppe S, Alley S, Van Lippevelde W, Bray NA, Williams SL, Duncan MJ, Vandelanotte C. Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review. Int J Behav Nutr Phys Act 2016;13:127. DOI |
13 | Piette JD, List J, Rana GK, Townsend W, Striplin D, Heisler M. Mobile health devices as tools for worldwide cardiovascular risk reduction and disease management. Circulation 2015;132:2012-27. DOI |
14 | Zhang D, Liu X, Liu Y, Sun X, Wang B, Ren Y, Zhao Y, Zhou J, Han C, Yin L, Zhao J, Shi Y, Zhang M, Hu D. Leisure-time physical activity and incident metabolic syndrome: a systematic review and doseresponse meta-analysis of cohort studies. Metabolism 2017;75:36-44. DOI |
15 | Guertler D, Vandelanotte C, Kirwan M, Duncan MJ. Engagement and nonusage attrition with a free physical activity promotion program: the case of 10,000 steps Australia. J Med Internet Res 2015;17:e176. DOI |
16 | Sandholzer M, Deutsch T, Frese T, Winter A. Predictors of students' self-reported adoption of a smartphone application for medical education in general practice. BMC Med Educ 2015;15:91. DOI |
17 | He D, Xi B, Xue J, Huai P, Zhang M, Li J. Association between leisure time physical activity and metabolic syndrome: a meta-analysis of prospective cohort studies. Endocrine 2014;46:231-40. DOI |
18 | Park MJ, Kim HS. Evaluation of mobile phone and Internet intervention on waist circumference and blood pressure in post-menopausal women with abdominal obesity. Int J Med Inform 2012;81:388-94. DOI |
19 | Pietersma S, Dijkstra A. Do behavioural health intentions engender health behaviour change? A study on the moderating role of self-affirmation on actual fruit intake versus vegetable intake. Br J Health Psychol 2011;16:815-27. DOI |
20 | Norman GJ, Kolodziejczyk JK, Adams MA, Patrick K, Marshall SJ. Fruit and vegetable intake and eating behaviors mediate the effect of a randomized text-message based weight loss program. Prev Med 2013;56:3-7. DOI |
21 | Liang X, Wang Q, Yang X, Cao J, Chen J, Mo X, Huang J, Wang L, Gu D. Effect of mobile phone intervention for diabetes on glycaemic control: a meta-analysis. Diabet Med 2011;28:455-63. DOI |
22 | Logan AG, Irvine MJ, McIsaac WJ, Tisler A, Rossos PG, Easty A, Feig DS, Cafazzo JA. Effect of home blood pressure telemonitoring with self-care support on uncontrolled systolic hypertension in diabetics. Hypertension 2012;60:51-7. DOI |
23 | Park LG, Howie-Esquivel J, Chung ML, Dracup K. A text messaging intervention to promote medication adherence for patients with coronary heart disease: a randomized controlled trial. Patient Educ Couns 2014;94:261-8. DOI |
24 | Cowdery J, Majeske P, Frank R, Brown D. Exergame apps and physical activity: the results of the ZOMBIE trial. Am J Health Educ 2015;46:216-22. DOI |
25 | Gasser R, Brodbeck D, Degen M, Luthiger J, Wyss R, Reichlinal S. Persuasiveness of a mobile lifestyle coaching application using social facilitation. In: IJsselsteijn WA, de Kort YAW, Midden C, Eggen B, van den Hoven E, editors. Persuasive Technology. PERSUASIVE 2006. Lecture Notes in Computer Science, vol 3962. Berlin/Heidelberg: Springer; 2006. p.27-38. |
26 | Department of Health, Social Services and Public Safety; The Scottish Governmnet; Llywodraeth Cymru Welsh Government; Department of Health (GB). Start active, stay active: a report on physical activity for health from the four home countries' Chief Medical Officers [Internet]. London: Department of Health; 2011 [cited 2017 December 5]. Available from: www.gov.uk/government/uploads/system/uploads/attachment_data/file/216370/dh_128210.pdf. |
27 | McTiernan A, Sorensen B, Irwin ML, Morgan A, Yasui Y, Rudolph RE, Surawicz C, Lampe JW, Lampe PD, Ayub K, Potter JD. Exercise effect on weight and body fat in men and women. Obesity (Silver Spring) 2007;15:1496-512. DOI |
28 | Trapp EG, Chisholm DJ, Freund J, Boutcher SH. The effects of high-intensity intermittent exercise training on fat loss and fasting insulin levels of young women. Int J Obes 2008;32:684-91. DOI |
29 | Wharton CM, Johnston CS, Cunningham BK, Sterner D. Dietary self-monitoring, but not dietary quality, improves with use of smartphone app technology in an 8-week weight loss trial. J Nutr Educ Behav 2014;46:440-4. DOI |
30 | Garber CE, Blissmer B, Deschenes MR, Franklin BA, Lamonte MJ, Lee IM, Nieman DC, Swain DP; American College of Sports Medicine. American College of Sports Medicine position stand. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: guidance for prescribing exercise. Med Sci Sports Exerc 2011;43:1334-59. DOI |
31 | Boeing H, Bechthold A, Bub A, Ellinger S, Haller D, Kroke A, Leschik-Bonnet E, Muller MJ, Oberritter H, Schulze M, Stehle P, Watzl B. Critical review: vegetables and fruit in the prevention of chronic diseases. Eur J Nutr 2012;51:637-63. DOI |
32 | Aburto NJ, Hanson S, Gutierrez H, Hooper L, Elliott P, Cappuccio FP. Effect of increased potassium intake on cardiovascular risk factors and disease: systematic review and meta-analyses. BMJ 2013;346:f1378. DOI |
33 | Streppel MT, Arends LR, van 't Veer P, Grobbee DE, Geleijnse JM. Dietary fiber and blood pressure: a meta-analysis of randomized placebo-controlled trials. Arch Intern Med 2005;165:150-6. DOI |
34 | Alberti KG, Zimmet P, Shaw J; IDF Epidemiology Task Force Consensus Group. The metabolic syndrome--a new worldwide definition. Lancet 2005;366:1059-62. DOI |
35 | Wigginton C, Curran M, Brodeur C. Global Mobile Consumer Trends. 2nd ed. New York (NY): Deloitte Touche Tohmatsu Ltd.; 2017. |
36 | Song TM, Ryu S, Lee SH. U-health service for managing chronic disease: a case study on managing metabolic syndrome in a health center in South Korea. Healthc Inform Res 2011;17:260-6. DOI |
37 | Joo NS, Kim BT. Mobile phone short message service messaging for behaviour modification in a community-based weight control programme in Korea. J Telemed Telecare 2007;13:416-20. DOI |
38 | Lee SY, Park HS, Kim DJ, Han JH, Kim SM, Cho GJ, Kim DY, Kwon HS, Kim SR, Lee CB, Oh SJ, Park CY, Yoo HJ. Appropriate waist circumference cutoff points for central obesity in Korean adults. Diabetes Res Clin Pract 2007;75:72-80. DOI |
39 | Ministry of Health and Welfare, Korea Health Promotion Institute. One-Stop Health service Consultation Manual. Seoul: Korea Health Promotion Institute; 2011. |
40 | Ministry of Health and Welfare, Korea Health Promotion Institute. Health Exam Result Consultation Manual - Nutritional Consultation. Seoul: Korea Health Promotion Institute; 2012. |
41 | McKay FH, Cheng C, Wright A, Shill J, Stephens H, Uccellini M. Evaluating mobile phone applications for health behaviour change: a systematic review. J Telemed Telecare 2018;24:22-30. DOI |
42 | Kelly JT, Reidlinger DP, Hoffmann TC, Campbell KL. Telehealth methods to deliver dietary interventions in adults with chronic disease: a systematic review and meta-analysis. Am J Clin Nutr 2016;104:1693-702. DOI |
43 | Ezzati M, Riboli E. Behavioral and dietary risk factors for noncommunicable diseases. N Engl J Med 2013;369:954-64. DOI |
44 | Stuckey M, Russell-Minda E, Read E, Munoz C, Shoemaker K, Kleinstiver P, Petrella R. Diabetes and Technology for Increased Activity (DaTA) study: results of a remote monitoring intervention for prevention of metabolic syndrome. J Diabetes Sci Technol 2011;5:928-35. DOI |
45 | Logan AG. Transforming hypertension management using mobile health technology for telemonitoring and self-care support. Can J Cardiol 2013;29:579-85. DOI |
46 | Weinstein RS, Lopez AM, Joseph BA, Erps KA, Holcomb M, Barker GP, Krupinski EA. Telemedicine, telehealth, and mobile health applications that work: opportunities and barriers. Am J Med 2014;127:183-7. DOI |
47 | Safran Naimark J, Madar Z, Shahar DR. The impact of a web-based app (eBalance) in promoting healthy lifestyles: randomized controlled trial. J Med Internet Res 2015;17:e56. DOI |
48 | Partridge SR, McGeechan K, Hebden L, Balestracci K, Wong AT, Denney-Wilson E, Harris MF, Phongsavan P, Bauman A, Allman-Farinelli M. Effectiveness of a mHealth lifestyle program with telephone support (TXT2BFiT) to prevent unhealthy weight gain in young adults: Randomized controlled trial. JMIR Mhealth Uhealth 2015;3:e66. DOI |
49 | Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, Nathan DM; Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 2002;346:393-403. DOI |
50 | National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III) final report. Circulation 2002;106:3143-421. DOI |
51 | Allman-Farinelli M, Partridge SR, McGeechan K, Balestracci K, Hebden L, Wong A, Phongsavan P, Denney-Wilson E, Harris MF, Bauman A. A mobile health lifestyle program for prevention of weight gain in young adults (TXT2BFiT): Nine-month outcomes of a randomized controlled trial. JMIR Mhealth Uhealth 2016;4:e78. DOI |
52 | Hebden L, Cook A, van der Ploeg HP, King L, Bauman A, Allman-Farinelli M. A mobile health intervention for weight management among young adults: a pilot randomised controlled trial. J Hum Nutr Diet 2014;27:322-32. DOI |
53 | World Health Organization. Adherence to long-term therapies: evidence for action 2013 [Internet]. Geneva: World Health Organization; 2003 [cited 2017 December 5]. Available from: http://www.who.int/chp/knowledge/publications/adherence_report/en/. |
54 | Wanders AJ, van den Borne JJ, de Graaf C, Hulshof T, Jonathan MC, Kristensen M, Mars M, Schols HA, Feskens EJ. Effects of dietary fibre on subjective appetite, energy intake and body weight: a systematic review of randomized controlled trials. Obes Rev 2011;12:724-39. DOI |
55 | Weickert MO, Pfeiffer AF. Metabolic effects of dietary fiber consumption and prevention of diabetes. J Nutr 2008;138:439-42. DOI |
56 | Cobiac LJ, Vos T, Veerman JL. Cost-effectiveness of interventions to promote fruit and vegetable consumption. PLoS One 2010;5:e14148. DOI |
57 | Cardiometabolic Risk Working Group: Executive Committee, Leiter LA, Fitchett DH, Gilbert RE, Gupta M, Mancini GB, McFarlane PA, Ross R, Teoh H, Verma S, Anand S, Camelon K, Chow CM, Cox JL, Despres JP, Genest J, Harris SB, Lau DC, Lewanczuk R, Liu PP, Lonn EM, McPherson R, Poirier P, Qaadri S, Rabasa-Lhoret R, Rabkin SW, Sharma AM, Steele AW, Stone JA, Tardif JC, Tobe S, Ur E. Cardiometabolic risk in Canada: a detailed analysis and position paper by the cardiometabolic risk working group. Can J Cardiol 2011;27:e1-33. DOI |
58 | Huffman KM, Sun JL, Thomas L, Bales CW, Califf RM, Yates T, Davies MJ, Holman RR, McMurray JJ, Bethel MA, Tuomilehto J, Haffner SM, Kraus WE. Impact of baseline physical activity and diet behavior on metabolic syndrome in a pharmaceutical trial: results from NAVIGATOR. Metabolism 2014;63:554-61. DOI |
59 | World Health Organization. Global status report on noncommunicable diseases 2014 [Internet]. Geneva: World Health Organization; 2014 [cited 2017 December 5]. Available from: http://www.who.int/nmh/publications/ncd-status-report-2014/en/. |
60 | Oh H, Lee HY, Jun DW, Lee SM. Low salt diet and insulin resistance. Clin Nutr Res 2016;5:1-6. DOI |
61 | Zock PL, Blom WA, Nettleton JA, Hornstra G. Progressing insights into the role of dietary fats in the prevention of cardiovascular disease. Curr Cardiol Rep 2016;18:111. DOI |
62 | Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. National Health Survey 1998; 2001 National Health and Nutrition Survey; The Third Korea National Health and Nutrition Examination Survey (KNHANES III), 2005; Korea Health Statistics 2007: Korea National Health and Nutrition Examination Survey (KNHANES IV-1); Korea Health Statistics 2008: Korea National Health and Nutrition Examination Survey (KNHANES IV-2); Korea Health Statistics 2009: Korea National Health and Nutrition Examination Survey (KNHANES IV-3); Korea Health Statistics 2010: Korea National Health and Nutrition Examination Survey (KNHANES V-1); Korea Health Statistics 2011: Korea National Health and Nutrition Examination Survey (KNHANES V-2); Korea Health Statistics 2012: Korea National Health and Nutrition Examination Survey (KNHANES V-3). Cheongwon: Korea Centers for Disease Control and Prevention; c1999-2013. |
63 | Lichtman SW, Pisarska K, Berman ER, Pestone M, Dowling H, Offenbacher E, Weisel H, Heshka S, Matthews DE, Heymsfield SB. Discrepancy between self-reported and actual caloric intake and exercise in obese subjects. N Engl J Med 1992;327:1893-8. DOI |
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