References
- GBD 2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1736-1788. Erratum in: Lancet. 2019;393(10190):e44. Erratum in: Lancet. 2018;392(10160):2170. https://doi.org/10.1016/S0140-6736(18)32203-7
- Korea Occupational Safety and Health Agency (KOSHA). Industrial accident analysis 2017 [Internet]. Korea Occupational Safety and Health Agency; c2018 [cited 2019 Sep 11]. Available from: http://kosri.co.kr/board/index.html?id=board7&-no=9.
- Korea National Health and Nutrition Examination Survey (KNHANES). Korea health statistics 2022 [Internet]. Korea Centers for Disease Control & Prevention; c2019 [cited 2023 Dec 29]. Available from: https://knhanes.kdca.go.kr/knhanes/sub04/sub04_04_01.do.
- Ministry of Employment and Labor (MoEL). Results of worker health examination in 2019 [Internet]. Ministry of Employment and Labor; c2020 [cited 2020 Dec 31]. Available from: https://www.moel.go.kr/info/publicdata/majorpublish/majorPublishView.do?bbs_seq=20201202141.
- Jeong Y. Status and policy tasks on workers' health inequality by employment type and business size. Health and Welfare: Issue & Focus. 2021;414:1-11. https://doi.org/10.23064/2021.12.414
- Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, et al. 2019 ACC/AHA guideline on the primary prevention of cardiovascular disease: Executive summary: A report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. 2019;140(11):e563-e595. Erratum in: Circulation. 2019;140(11):e647-e648. Erratum in: Circulation. 2020;141(4):e59. Erratum in: Circulation. 2020;141(16):e773. https://doi.org/10.1161/CIR.0000000000000677
- Ministry of SMEs and Startups (MSS). Status of Korean SMEs in 2021 [Internet]. Ministry of SMEs and Startups; c2020 [cited 2022 Dec 31]. Available from: https://www.mss.go.kr/site/smba/foffice/ex/statDB/MainSubStat.do.
- Kang SH, Hwang SY. Influence of occupational type and lifestyle risk factors on prevalence of metabolic syndrome among male workers: A retrospective cohort study. Korean Journal of Adult Nursing. 2016;28(2):180-190. https://doi.org/10.7475/kjan.2016.28.2.180
- World Health Organization (WHO). Prevention and control of noncommunicable diseases in the European Region: A progress report [Internet]. WHO Regional Office for Europe; c2014 [cited 2014 Nov 18]. Available from: https://apps.who.int/iris/handle/10665/345525.
- Silva BM, Rodrigues JJ, de la Torre Diez I, Lopez-Coronado M, Saleem K. Mobile-health: A review of current state in 2015. Journal of Biomedical Informatics. 2015;56:265-272. https://doi.org/10.1016/j.jbi.2015.06.003
- Thilarajah S, Clark RA, Williams G. Wearable sensors and Mobile Health (mHealth) technologies to assess and promote physical activity in stroke: A narrative review. Brain Impairment. 2016;17(1):34-42. https://doi.org/10.1017/BrImp.2016.1
- Pfaeffli Dale L, Whittaker R, Jiang Y, Stewart R, Rolleston A, Maddison R. Text message and internet support for coronary heart disease self-management: Results from the Text4Heart randomized controlled trial. Journal of Medical Internet Research. 2015;17(10):e237. https://doi.org/10.2196/jmir.4944
- Korea Health Promotion Institute. 2017 First year pilot project report for public health center mobile healthcare [Internet]. Korea Health Promotion Institute; c2017 [cited 2017 Jul 18]. Available from: https://www.khepi.or.kr/kps/publish/view?menuId=MENU00888&page_no=B2017001&pageNum=2&siteId=&srch_text=+&srch_cate=&srch_type=&str_clft_cd_list=&str_clft_cd_type_list=&board_idx=9851.
- Brew-Sam N, Chib A. How do smart device apps for diabetes self-management correspond with theoretical indicators of empowerment? An analysis of app features. International Journal of Technology Assessment in Health Care. 2019;35(2):150-159. Erratum in: International Journal of Technology Assessment in Health Care. 2019;35(3):252. https://doi.org/10.1017/S0266462319000163
- Peiris D, Praveen D, Mogulluru K, Ameer MA, Raghu A, Li Q, et al. SMARThealth India: A stepped-wedge, cluster randomised controlled trial of a community health worker managed mobile health intervention for people assessed at high cardiovascular disease risk in rural India. PLoS One. 2019;14(3):e0213708. https://doi.org/10.1371/journal.pone.0213708
- Dounavi K, Tsoumani O. Mobile health applications in weight management: A systematic literature review. American Journal of Preventive Medicine. 2019;56(6):894-903. https://doi.org/10.1016/j.amepre.2018.12.005
- Piette JD, Striplin D, Marinec N, Chen J, Trivedi RB, Aron DC, et al. A mobile health intervention supporting heart failure patients and their informal caregivers: A randomized comparative effectiveness trial. Journal of Medical Internet Research. 2015;17(6):e142. https://doi.org/10.2196/jmir.4550
- Vaghefi I, Tulu B. The continued use of mobile health apps: Insights from a longitudinal study. JMIR mHealth and uHealth. 2019;7(8):e12983. https://doi.org/10.2196/12983
- Baek K, Ha E. Mobile-based digital healthcare platforms: Smart wellness. Archives of Design Research. 2021;34(1): 101-113. https://doi.org/10.15187/adr.2021.02.34.1.101
- Amico KR, Barta W, Konkle-Parker DJ, Fisher JD, Cornman DH, Shuper PA, et al. The information-motivation-behavioral skills model of ART adherence in a Deep South HIV+clinic sample. AIDS and Behavior. 2009;13(1):66-75. https://doi.org/10.1007/s10461-007-9311-y
- Larson S, Cho MC, Tsioufis K, Yang E. 2018 Korean Society of Hypertension guideline for the management of hypertension: A comparison of American, European, and Korean blood pressure guidelines. European Heart Journal. 2020;41(14):1384-1386. https://doi.org/10.1093/eurheartj/ehaa114
- Kim MK, Ko SH, Kim BY, Kang ES, Noh J, Kim SK, et al. 2019 clinical practice guidelines for type 2 diabetes mellitus in Korea. Diabetes & Metabolism Journal. 2019;43(4):398-406. https://doi.org/10.4093/dmj.2019.0137
- Rhee EJ, Kim HC, Kim JH, Lee EY, Kim BJ, Kim EM, et al. 2018 guidelines for the management of dyslipidemia in Korea. Journal of Lipid and Atherosclerosis. 2019;8(2):78-131. https://doi.org/10.12997/jla.2019.8.2.78
- Anderson ET, McFarlane JM. Community as partner: Theory and practice in nursing. 6th ed. Lippincott Williams & Wilkins; 2010. p. 16-118.
- Plotnikoff RC, Wilczynska M, Cohen KE, Smith JJ, Lubans DR. Integrating smartphone technology, social support and the outdoor physical environment to improve fitness among adults at risk of, or diagnosed with, Type 2 Diabetes: Findings from the 'eCoFit' randomized controlled trial. Preventive Medicine. 2017;105:404-411. https://doi.org/10.1016/j.ypmed.2017.08.027
- Lee SY, Park HS, Kim DJ, Han JH, Kim SM, Cho GJ, et al. Appropriate waist circumference cutoff points for central obesity in Korean adults. Diabetes Research and Clinical Practice. 2007;75(1):72-80. https://doi.org/10.1016/j.diabres.2006.04.013
- Gotto AM. NCEP ATP III guidelines incorporate global risk assessment. American Journal of Managed Care. 2003;Suppl:1, 3.
- Mohammadi E, Khoshab H, Kazemnejad A. Activities of daily living for patients with chronic heart failure: A partnership care model evaluation. Applied Nursing Research. 2016;30:261-267. https://doi.org/10.1016/j.apnr.2015.01.008
- Davis FD. A technology acceptance model for empirically testing new end-user information systems: Theory and results [dissertation]. Cambridge (MA): Massachusetts Institute of Technology; 1985. p. 1-291.
- Lee KH. Factors affecting women's perceptions on text message: Based mHealth in Dar es Salaam, Tanzania [master's thesis]. Seoul: Seoul National University; 2018. p. 1-70.
- Bandura A. Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes. 1991;50(2):248-287. https://doi.org/10.1016/0749-5978(91)90022-L
- Shin Y, Jang H, Pender NJ. Psychometric evaluation of the exercise self-efficacy scale among Korean adults with chronic diseases. Research in Nursing & Health. 2001;24(1):68-76. https://doi.org/10.1002/1098-240X(200102)24:1<68::AID-NUR1008>3.0.CO;2-C
- Hickey ML, Owen SV, Froman RD. Instrument development: Cardiac diet and exercise self-efficacy. Nursing Research. 1992;41(6):347-351. https://doi.org/10.1097/00006199-199211000-00006
- Han SS, Lee JI, Kim YJ. Predicting factors on eating behavior in coronary artery disease patients. Journal of Korean Academy of Nursing. 2007;37(7):1193-1201. https://doi.org/10.4040/jkan.2007.37.7.1193
- Smith D, Harvey P, Lawn S, Harris M, Battersby M. Measuring chronic condition self-management in an Australian community: Factor structure of the revised Partners in Health (PIH) scale. Quality of Life Research. 2017;26(1):149-159. https://doi.org/10.1007/s11136-016-1368-5
- Jeon MK, Ahn JW, Park YH, Lee MK. Validity and reliability of the Korean version of the Partners In Health scale (PIH-K). Journal of Korean Critical Care Nursing. 2019;12(2):1-12. https://doi.org/10.34250/jkccn.2019.12.2.1
- Park HJ. The effects of lifestyle modification education program on the workers' knowledge, attitude and behavior to prevent cerebrocardiovascular diseases in middle and smallsized industries [master's thesis]. Seoul: Dongguk University; 2008. p. 1-110.
- Kim EY, Hwang SY. Development and evaluation of a small group-based cardiocerebrovascular disease prevention education program for male bus drivers. Journal of Korean Academy of Nursing. 2012;42(3):322-332. https://doi.org/10.4040/jkan.2012.42.3.322
- Briz-Ponce L, Garcia-Penalvo FJ. An empirical assessment of a technology acceptance model for apps in medical education. Journal of Medical Systems. 2015;39(11):176. https://doi.org/10.1007/s10916-015-0352-x
- Young HM, Miyamoto S, Dharmar M, Tang-Feldman Y. Nurse coaching and mobile health compared with usual care to improve diabetes self-efficacy for persons with type 2 diabetes: Randomized controlled trial. JMIR mHealth and uHealth. 2020;8(3):e16665. https://doi.org/10.2196/16665
- Litman L, Rosen Z, Spierer D, Weinberger-Litman S, Goldschein A, Robinson J. Mobile exercise apps and increased leisure time exercise activity: A moderated mediation analysis of the role of self-efficacy and barriers. Journal of Medical Internet Research. 2015;17(8):e195. https://doi.org/10.2196/jmir.4142
- Lawson KL, Jonk Y, O'Connor H, Riise KS, Eisenberg DM, Kreitzer MJ. The impact of telephonic health coaching on health outcomes in a high-risk population. Global Advances in Health and Medicine. 2013;2(3):40-47. https://doi.org/10.7453/gahmj.2013.039
- Geiker NRW, Astrup A, Hjorth MF, Sjodin A, Pijls L, Markus CR. Does stress influence sleep patterns, food intake, weight gain, abdominal obesity and weight loss interventions and vice versa? Obesity Reviews. 2018;19(1):81-97. https://doi.org/10.1111/obr.12603
- Kang SH, Hwang SY. Effects of spouse-participated health coaching for male office workers with cardiocerebrovascular risk factors. Journal of Korean Academy of Nursing. 2019;49(6):748-759. https://doi.org/10.4040/jkan.2019.49.6.748
- Dekkers JC, van Wier MF, Ariens GA, Hendriksen IJ, Pronk NP, Smid T, et al. Comparative effectiveness of lifestyle interventions on cardiovascular risk factors among a Dutch overweight working population: A randomized controlled trial. BMC Public Health. 2011;11(1):49. https://doi.org/10.1186/1471-2458-11-49
- Park MJ, Kim HS. Evaluation of mobile phone and Internet intervention on waist circumference and blood pressure in post-menopausal women with abdominal obesity. International Journal of Medical Informatics. 2012;81(6):388-394. https://doi.org/10.1016/j.ijmedinf.2011.12.011