대사증후군 예방을 위한 모바일 헬스 애플리케이션의 개인맞춤형 콘텐츠 개발
Development of tailored contents of a mobile health application to prevent the metabolic syndrome
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초록
Objectives: This study aimed to develop and pilot a mobile health application, ‘NICE Health Ten’, for a tailored health behavior intervention based on intervention mapping approach and transtheoretical model to prevent metabolic syndrome for Korean adults. Methods: We applied intervention mapping approach to design development of a mobile health application. Also, transtheoretical model's concepts such as stages of change, decisional balance, and self-efficacy were applied to develop contents of mobile health application. Pilot preintervention-postintervention analysis was conducted and total 68 subjects were recruited and used ‘NICE Health Ten’ once a week for 8 weeks. Results: Health status and recommendations were provided for each physiological and behavioral factor associated with metabolic syndrome by developed ‘NICE Health Ten’. According to the pilot testing, the significant changes of knowledge, decisional balance, self-efficacy, and stages of change distribution related to healthy physical activity, healthy diet, and moderate drinking were in 20s adults who used ‘NICE Health Ten’ except for decisional balance of moderate drinking. Conclusions: Metabolic syndrome can be prevented by implementing mobile health application intervention for health behavioral change. Also, Intervention Mapping is effective to design an intervention for metabolic syndrome.
Abstract
Objectives: This study aimed to develop and pilot a mobile health application, ‘NICE Health Ten’, for a tailored health behavior intervention based on intervention mapping approach and transtheoretical model to prevent metabolic syndrome for Korean adults. Methods: We applied intervention mapping approach to design development of a mobile health application. Also, transtheoretical model's concepts such as stages of change, decisional balance, and self-efficacy were applied to develop contents of mobile health application. Pilot preintervention-postintervention analysis was conducted and total 68 subjects were recruited and used ‘NICE Health Ten’ once a week for 8 weeks. Results: Health status and recommendations were provided for each physiological and behavioral factor associated with metabolic syndrome by developed ‘NICE Health Ten’. According to the pilot testing, the significant changes of knowledge, decisional balance, self-efficacy, and stages of change distribution related to healthy physical activity, healthy diet, and moderate drinking were in 20s adults who used ‘NICE Health Ten’ except for decisional balance of moderate drinking. Conclusions: Metabolic syndrome can be prevented by implementing mobile health application intervention for health behavioral change. Also, Intervention Mapping is effective to design an intervention for metabolic syndrome.
참고문헌 (51)
- Bartholomew, L. K., "Planning health promotion programs: Intervention Mapping" (2006), Jossey-Bass
- Brendryen, H., "Constructing a theory-and evidence-based treatment rationale for complex eHealth interventions: Development of an online alcohol intervention using an intervention mapping approach", JMIR research protocols, 2(1), pp.e6~ (2013)[DOI]
- Chen, Y. C., "An Internet-based health management platform may effectively reduce the risk factors of metabolic syndrome among career women", Taiwanese Journal of Obstetrics and Gynecology, 52(2), pp.215~221 (2013)[DOI]
- Clark, M. M., "Self-efficacy in weight management", Journal of consulting and clinical psychology, 59(5), pp.739~744 (1991)[DOI]
- DiClemente, C. C., "The process of smoking cessation: An analysis of precontemplation, contemplation, and preparation stages of change", Journal of Consulting and Clinical Psychology, 59(2), pp.295~304 (1991)[DOI]
- Di Noia, J., "Application of the transtheoretical model to fruit and vegetable consumption among economically disadvantaged African-American adolescents: Preliminary findings", American Journal of Health Promotion, 20(5), pp.342~348 (2006)[DOI]
- Feldeisen, S. E., "Nutritional strategies in the prevention and treatment of metabolic syndrome", Applied Physiology, Nutrition, and Metabolism, 32(1), pp.46~60 (2007)[DOI]
- 한아름, "신체활동 중재로써 모바일헬스케어 어플리케이션과 SMS", MMS가 신체활동량에 미치는 영향, 2017, pp.15(2), 39~59[DOI]
- He, D., "Association between leisure time physical activity and metabolic syndrome: A meta-analysis of prospective cohort studies", Endocrine, 46(2), pp.231~240 (2014)[DOI]
- Huh, J. H., "Metabolic syndrome epidemic among Korean adults: Korean survey of Cardiometabolic Syndrome (2018)", Atherosclerosis, 227, pp.47~52 (2018)
- 정찬희, "한국 성인에서 흡연, 음주, 운동, 교육정도 및 가족력이 대사증후군에 미치는 영향", 대한내과학회지, 63(6), pp.5~667 (2002), 대한내과학회
- Mobile apps in APAC: 2016 report, "Kakihara, M.", Think with Google APAC, ~ (2016)
- Kaur, J., "A comprehensive review on metabolic syndrome", Cardiology research and practice, 2014 (2014)
- 김동일, "한국 대학생들의 체력과 체질량지수 및 대사증후군 위험요인과의 관계: 심폐체력과 근지구력을 중심으로", Journal of Obesity & Metabolic Syndrome, 21(2), pp.99~107 (2012), 대한비만학회[DOI]
- Kim, H., "Factors associated with the stages of changes in drinking behavior among industrial workers, an application of the transtheoretical model", Journal of Korean Academy of Community Health Nursing, 15(1), pp.110~121 (2004)
- 김희선, "지역사회 대상의 대사증후군 자가관리 프로그램 중재 효과- 서울특별시 대사증후군 관리 시범사업 -", 보건교육건강증진학회지, 28(2), pp.51~62 (2011), 한국보건교육건강증진학회
- 김영란, "대사증후군 구성요인의 군집별 변화 양상", 한국산학기술학회논문지, 17(1), pp.526~537 (2016), 한국산학기술학회[DOI]
- Konturek, P. C., "Neuro-hormonal control of food intake: Basic mechanisms and clinical implications", Journal of Physiology and Pharmacology: An Official Journal of the Polish Physiological Society, 56, pp.5~25 (2005)
- "Ordening in de wereld van eHealth"[URL]
- Laforge, R. G., "Stage distributions for five health behaviors in the United States and Australia", Preventive Medicine, 28(1), pp.61~74 (1999)[DOI]
- Lakka, T. A., "Physical activity in prevention and treatment of the metabolic syndrome", Applied Physiology, Nutrition, and Metabolism, 32(1), pp.76~88 (2007)[DOI]
- Lamort-Bouche, M., "Interventions developed with the intervention mapping protocol in the field of cancer: A systematic review", Psycho-oncology, 27(4), pp.1138~1149 (2018)[DOI]
- 이예지, "성인의 만성질환 관련 건강위험행태요인 군집현상 분석", 보건교육건강증진학회지, 34(3), pp.21~31 (2017), 한국보건교육건강증진학회[DOI]
- LeBlanc, E. S., "Effectiveness of primary care-relevant treatments for obesity in adults: A systematic evidence review for the US Preventive Services Task Force", Annals of Internal Medicine, 155(7), pp.434~447 (2011)[DOI]
- Leenen, L. A., "Are people with epilepsy using eHealth-tools?", Epilepsy & Behavior, 64, pp.268~272 (2016)[DOI]
- Maddock, J. E., "Development and validation of decisional balance and processes of change inventories for heavy, episodic drinking", pp.1997
- Malik, V. S., "Sugar sweetened beverages and risk of metabolic syndrome and type 2 diabetes: A meta-analysis", Diabetes Care, 33(11), pp.2477~2483 (2010)[DOI]
- Marcus, B. H., "Self-efficacy and the stages of exercise behavior change", Research Quarterly for Exercise and Sport, 63(1), pp.60~66 (1992)[DOI]
- Miller, C. K., "Development and pilot testing of a novel behavioral intervention for adults with type 2 diabetes using intervention mapping", Health Psychology and Behavioral Medicine, 5(1), pp.317~336 (2017)[DOI]
- 문성미, "우리나라 성인의 건강행태군집 유형과 관련요인", 디지털융복합연구, 12(8), pp.397~410 (2014), 한국디지털정책학회[DOI]
- Nigg, C. R., "Structure of decisional balance for exercise adoption", Annals of Behavioral Medicine, 20, pp.S211~ (1998)
- Noar, S. M., "eHealth applications: Promising strategies for behavior change" (2012), Routledge
- Noble, N., "Which modifiable health risk behaviours are related? A systematic review of the clustering of smoking, nutrition, alcohol and physical activity ('SNAP') health risk factors", Preventive Medicine, 81, pp.16~41 (2015)[DOI]
- Park, H. S., "Manual of Metabolic Syndrome" (2007), The Korean Academy of Family Medicine
- Payne, H. E., "Behavioral functionality of mobile apps in health interventions: A systematic review of the literature", JMIR mHealth and uHealth, 3(1), pp.e20~ (2015)[DOI]
- Prochaska, J. O., "Stage of processes of self change of smoking: Toward an integrative model", The Journal of Consulting and Clinical Psychology, 56, pp.520~528 (1983)
- Prochaska, J. J., "A review of multiple health behavior change interventions for primary prevention", American journal of lifestyle medicine, 5(3), pp.208~221 (2011)[DOI]
- Prochaska, J. O., "The transtheoretical model of change and HIV prevention: A review", Health Education Quarterly, 21(4), pp.471~486 (1994)[DOI]
- Prochaska, J. O., "The Transtheoretical model of health behavior change", American Journal of Health Promotion, 12(1), pp.38~48 (1997)[DOI]
- Riley, W. T., "Health behavior models in the age of mobile interventions: Are our theories up to the task?", Translational Behavioral Medicine, 1(1), pp.53~71 (2011)[DOI]
- "Samsung Health: Your health in your hands"[URL]
- Seo, G., "The patterns and related factors of exercise behavior changes of workers", pp.2006
- Shin, H., "The investigational study on health-related mobile application software and its improvement", Regulatory Research on Food, Drug and Cosmetic, 10(1), pp.1~9 (2015)
- Sullivan, V. K., "Prevention and treatment of the metabolic syndrome with lifestyle intervention: Where do we start?", Journal of the American Dietetic Association, 106(5), pp.668~671 (2006)[DOI]
- Sun, K., "Alcohol consumption and risk of metabolic syndrome: A meta-analysis of prospective studies", Clinical Nutrition, 33(4), pp.596~602 (2014)[DOI]
- Sutton, K., "Assessing dietary and exercise stages of change to optimize weight loss intervention", Obesity Research, 11(5), pp.641~652 (2003)[DOI]
- "Office of Biostatistics, Northeast Ohio Universities College of Medicine", ~
- "2016 November monthly report health/fitness" (2017)[URL]
- 이용정, "모바일 개인건강기록(Personal Health Records: PHR) 어플리케이션의 이용이 소비자 건강행태에 미치는 영향", 정보관리학회지, 33(4), pp.7~26 (2016), 한국정보관리학회[DOI]
- 유채영, "문제성 음주의 의사결정균형이 변화단계에 미치는 영향", 정신건강과 사회복지, (25), pp.99~130 (2007), 한국정신건강사회복지학회
- 유승현, "대사증후군 상태 개선을 위한 생활습관 중재프로그램의 프로그램 이론 평가", 보건교육건강증진학회지, 27(4), pp.165~175 (2010), 한국보건교육건강증진학회
