Development of an individualized WeChat mini program-based intervention to increase adherence to dietary recommendations applying the behaviour change wheel among individuals with metabolic syndrome

References

• Alberti KG, Eckel RH, Grundy SM, et al. Harmonizing the metabolic syndrome: a joint interim statement of the international diabetes federation task force on epidemiology and prevention; national heart, lung, and blood institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the study of obesity. Circulation. 2009;120(16):1–20. doi: 10.1161/CIRCULATIONAHA.109.192644.
   PubMed Web of Science ®Google Scholar
• Saklayen MG. The global epidemic of the metabolic syndrome. Curr Hypertens Rep. 2018;20(2):12. doi: 10.1007/s11906-018-0812-z.
   PubMed Web of Science ®Google Scholar
• Nolan PB, Carrick-Ranson G, Stinear JW, et al. Prevalence of metabolic syndrome and metabolic syndrome components in young adults: a pooled analysis. Prev Med Rep. 2017;7:211–215. doi: 10.1016/j.pmedr.2017.07.004.
   PubMedGoogle Scholar
• Yao F, Bo Y, Zhao L, et al. Prevalence and influencing factors of metabolic syndrome among adults in China from 2015 to 2017. Nutrients. 2021;13(12):4475. doi: 10.3390/nu13124475.
   PubMed Web of Science ®Google Scholar
• Engin A. The definition and prevalence of obesity and metabolic syndrome. Adv Exp Med Biol. 2017;960:1–17.
   PubMed Web of Science ®Google Scholar
• Gallardo-Alfaro L, Bibiloni M, Mascaró CM, et al. Leisure-Time physical activity, sedentary behaviour and diet quality are associated with metabolic syndrome severity: the PREDIMED-Plus study. Nutrients. 2020;12(4):1013. doi: 10.3390/nu12041013.
   PubMed Web of Science ®Google Scholar
• WHO. Global status on noncommunicable diseases. Geneva: World Health Organization; 2010.
   Google Scholar
• Association CPM, Branch of Heart Disease Prevention and Control CPMA, Society CD, Branch of Stroke Prevention and Control CPMA, Society CHM, Branch of Non-communicable Chronic Disease Prevention and Control CPMA, Branch of Hypertension CIEA, China CHAO. Chinese guideline on healthy lifestyle to prevent cardiometabolic diseases. Chin J Prev Med. 2020;54(3):256–277.
   Google Scholar
• Pérez-Martínez P, Mikhailidis DP, Athyros VG, et al. Lifestyle recommendations for the prevention and management of metabolic syndrome: an international panel recommendation. Nutr Rev. 2017;75(5):307–326. doi: 10.1093/nutrit/nux014.
   PubMed Web of Science ®Google Scholar
• Chen D, Zhang H, Shao J, et al. Determinants of adherence to diet and exercise behaviours among individuals with metabolic syndrome based on the capability, opportunity, motivation, and behaviour model: a cross-sectional study. Eur J Cardiovasc Nur. 2022;22(2):193–200.
   Web of Science ®Google Scholar
• Zheng X, Yu H, Qiu X, et al. The effects of a nurse-led lifestyle intervention program on cardiovascular risk, self-efficacy and health promoting behaviours among patients with metabolic syndrome: randomized controlled trial. Int J Nurs Stud. 2020;109:103638. doi: 10.1016/j.ijnurstu.2020.103638.
   PubMed Web of Science ®Google Scholar
• George ES, Gavrili S, Itsiopoulos C, et al. Poor adherence to the mediterranean diet is associated with increased likelihood of metabolic syndrome components in children: the healthy growth study. Public Health Nutr. 2021;24(10):2823–2833. doi: 10.1017/S1368980021001701.
   PubMed Web of Science ®Google Scholar
• Montemayor S, Mascaró CM, Ugarriza L, et al. Adherence to mediterranean diet and NAFLD in patients with metabolic syndrome: the FLIPAN study. Nutrients. 2022;14(15):3186. doi: 10.3390/nu14153186.
   PubMed Web of Science ®Google Scholar
• Tran VD, Lee AH, Jancey J, et al. Physical activity and nutrition behaviour outcomes of a cluster-randomized controlled trial for adults with metabolic syndrome in vietnam. Trials. 2017;18(1):18. doi: 10.1186/s13063-016-1771-9.
   PubMedGoogle Scholar
• Kay M, Santos J, Takane M. mHealth: new horizons for health through mobile technologies. Vol. 64. Geneva: World Health Organization; 2011. p. 66–71.
   Google Scholar
• Müller AM, Alley S, Schoeppe S, et al. The effectiveness of e-& mHealth interventions to promote physical activity and healthy diets in developing countries: a systematic review. Int J Behav Nutr Phy. 2016;13(1):109.
   PubMedGoogle Scholar
• Schoeppe S, Alley S, Van Lippevelde W, et al. Vandelanotte C: efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review. Int J Behav Nutr Phy. 2016;13(1):127.
   PubMed Web of Science ®Google Scholar
• Sequi-Dominguez I, Alvarez-Bueno C, Martinez-Vizcaino V, et al. Effectiveness of mobile health interventions promoting physical activity and lifestyle interventions to reduce cardiovascular risk among individuals with metabolic syndrome: systematic review and Meta-Analysis. J Med Internet Res. 2020;22(8):e17790. doi: 10.2196/17790.
   PubMed Web of Science ®Google Scholar
• Chen D, Ye Z, Shao J, et al. Effect of electronic health interventions on metabolic syndrome: a systematic review and meta-analysis. Bmj Open. 2020;10(10):e36927. doi: 10.1136/bmjopen-2020-036927.
   Web of Science ®Google Scholar
• Ordovas JM, Ferguson LR, Tai ES, et al. Personalised nutrition and health. BMJ. 2018;361:bmj.k2173. doi: 10.1136/bmj.k2173.
   PubMedGoogle Scholar
• Wang Q, Chair SY, Wong E, et al. Actively incorporating lifestyle modifications into daily life: the key to adherence in a lifestyle intervention programme for metabolic syndrome. Front Public Health. 2022;10:929043. doi: 10.3389/fpubh.2022.929043.
   PubMed Web of Science ®Google Scholar
• Lau Y, Chee D, Chow XP, et al. Personalised eHealth interventions in adults with overweight and obesity: a systematic review and meta-analysis of randomised controlled trials. Prev Med. 2020;132:106001. doi: 10.1016/j.ypmed.2020.106001.
   PubMed Web of Science ®Google Scholar
• Azar KM, Koliwad S, Poon T, et al. The electronic CardioMetabolic program (eCMP) for patients with cardiometabolic risk: a randomized controlled trial. J Med Internet Res. 2016;18(5):e134. doi: 10.2196/jmir.5143.
   PubMed Web of Science ®Google Scholar
• Oh B, Cho B, Han MK, et al. The effectiveness of mobile Phone-Based care for weight control in metabolic syndrome patients: randomized controlled trial. JMIR Mhealth Uhealth. 2015;3(3):e83. doi: 10.2196/mhealth.4222.
   PubMed Web of Science ®Google Scholar
• Craig P, Dieppe P, Macintyre S, et al. Developing and evaluating complex interventions: the new medical research council guidance. BMJ. 2008;337:a1655. doi: 10.1136/bmj.a1655.
   PubMed Web of Science ®Google Scholar
• Michie S, Johnston M, Francis J, et al. From theory to intervention: mapping theoretically derived behavioural determinants to behaviour change techniques. Appl Psychol. 2008;57(4):660–680. doi: 10.1111/j.1464-0597.2008.00341.x.
   Web of Science ®Google Scholar
• Michie S, West R, Campbell R. ABC of behaviour change theories. London: Silverback; 2014.
   Google Scholar
• Michie S, van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. 2011;6(1):42. doi: 10.1186/1748-5908-6-42.
   PubMed Web of Science ®Google Scholar
• Michie S, Atkins L, West R. The behaviour change wheel—a guide to designing interventions. Great Britain: Silverback; 2014.
   Google Scholar
• Cane J, O’Connor D, Michie S. Validation of the theoretical domains framework for use in behaviour change and implementation research. Implement Sci. 2012;7:37.
   PubMed Web of Science ®Google Scholar
• Michie S, Richardson M, Johnston M, et al. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013;46(1):81–95. doi: 10.1007/s12160-013-9486-6.
   PubMed Web of Science ®Google Scholar
• Cao W, Guo Y, Ping W. Development and psychometric tests of a chinese version of the HPLP-II scales. Chin J Dis Control Prev. 2016;3(20):286–289.
   Google Scholar
• Sullivan-Bolyai S, Bova C, Harper D. Developing and refining interventions in persons with health disparities: the use of qualitative description. Nurs Outlook. 2005;53(3):127–133. doi: 10.1016/j.outlook.2005.03.005.
   PubMed Web of Science ®Google Scholar
• O’Brien BC, Harris IB, Beckman TJ, et al. Standards for reporting qualitative research: a synthesis of recommendations. Acad Med. 2014;89(9):1245–1251. doi: 10.1097/ACM.0000000000000388.
   PubMed Web of Science ®Google Scholar
• Quinn PM. Qualitative research and evaluation methods. 3rd ed. California: Sage; 2002.
   Google Scholar
• Francis JJ, Johnston M, Robertson C, et al. What is an adequate sample size? Operationalising data saturation for theory-based interview studies. Psychol Health. 2010;25(10):1229–1245. doi: 10.1080/08870440903194015.
   PubMed Web of Science ®Google Scholar
• Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2006;3(2):77–101. doi: 10.1191/1478088706qp063oa.
   Google Scholar
• Milne J, Oberle K. Enhancing rigor in qualitative description: a case study. J Wound Ostomy Continence Nurs. 2005;32(6):413–420. doi: 10.1097/00152192-200511000-00014.
   PubMed Web of Science ®Google Scholar
• Cane J, Richardson M, Johnston M, et al. From lists of behaviour change techniques (BCTs) to structured hierarchies: comparison of two methods of developing a hierarchy of BCTs. Br J Health Psychol. 2015;20(1):130–150. doi: 10.1111/bjhp.12102.
   PubMed Web of Science ®Google Scholar
• Davidson KW, Goldstein M, Kaplan RM, et al. Evidence-based behavioral medicine: what is it and how do we achieve it? Ann Behav Med. 2003;26(3):161–171. doi: 10.1207/S15324796ABM2603_01.
   PubMed Web of Science ®Google Scholar
• Fappa E, Yannakoulia M, Pitsavos C, et al. Lifestyle intervention in the management of metabolic syndrome: could we improve adherence issues? Nutrition. 2008;24(3):286–291. doi: 10.1016/j.nut.2007.11.008.
   PubMed Web of Science ®Google Scholar
• Fappa E, Yannakoulia M, Ioannidou M, et al. Telephone counseling intervention improves dietary habits and metabolic parameters of patients with the metabolic syndrome: a randomized controlled trial. Rev Diabet Stud. 2012;9(1):36–45. doi: 10.1900/RDS.2012.9.36.
   PubMedGoogle Scholar
• Magkos F, Yannakoulia M, Chan JL, et al. Management of the metabolic syndrome and type 2 diabetes through lifestyle modification. Annu Rev Nutr. 2009;29(1):223–256. doi: 10.1146/annurev-nutr-080508-141200.
   PubMedGoogle Scholar
• Grundy SM, Brewer HJ, Cleeman JI, et al. Definition of metabolic syndrome: report of the National Heart, Lung, and Blood Institute/American Heart Association conference on scientific issues related to definition. Circulation. 2004;109(3):433–438. doi: 10.1161/01.CIR.0000111245.75752.C6.
   PubMed Web of Science ®Google Scholar
• Grundy SM, Cleeman JI, Daniels SR, et al. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute scientific statement. Circulation. 2005;112(17):2735–2752. doi: 10.1161/CIRCULATIONAHA.105.169404.
   PubMed Web of Science ®Google Scholar
• Bach-Faig A, Berry EM, Lairon D, et al. Mediterranean diet pyramid today. Science and cultural updates. Public Health Nutr. 2011;14(12A):2274–2284. doi: 10.1017/S1368980011002515.
   PubMed Web of Science ®Google Scholar
• Fabiani R, Naldini G, Chiavarini M. Dietary patterns and metabolic syndrome in adult subjects: a systematic review and meta-analysis. Nutrients. 2019;11(9):2056. doi: 10.3390/nu11092056.
   PubMed Web of Science ®Google Scholar
• Zhang X, Li Y, Wang J, et al. Effectiveness of digital guided self-help mindfulness training during pregnancy on maternal psychological distress and infant neuropsychological development: randomized controlled trial. J Med Internet Res. 2023;25:e41298. doi: 10.2196/41298.
   PubMed Web of Science ®Google Scholar
• Wang Q, Chair SY, Wong EM, et al. Metabolic syndrome knowledge among adults with cardiometabolic risk factors: a cross-sectional study. Int J Environ Res Public Health. 2019;16(1):159.
   PubMed Web of Science ®Google Scholar
• Nicklas TA, Jahns L, Bogle ML, et al. Barriers and facilitators for consumer adherence to the dietary guidelines for americans: the HEALTH study. J Acad Nutr Diet. 2013;113(10):1317–1331. doi: 10.1016/j.jand.2013.05.004.
   PubMed Web of Science ®Google Scholar
• Maas J, Hietbrink L, Rinck M, et al. Changing automatic behavior through self-monitoring: does overt change also imply implicit change? J Behav Ther Exp Psychiatry. 2013;44(3):279–284. doi: 10.1016/j.jbtep.2012.12.002.
   PubMed Web of Science ®Google Scholar
• Laiou E, Rapti I, Markozannes G, et al. Social support, adherence to mediterranean diet and physical activity in adults: results from a community-based cross-sectional study. J Nutr Sci. 2020;9:e53. doi: 10.1017/jns.2020.46.
   PubMed Web of Science ®Google Scholar
• Beck AL, Iturralde E, Haya-Fisher J, et al. Barriers and facilitators to healthy eating among low-income latino adolescents. Appetite. 2019;138:215–222. doi: 10.1016/j.appet.2019.04.004.
   PubMed Web of Science ®Google Scholar
• Timlin D, McCormack JM, Simpson EE. Using the COM-B model to identify barriers and facilitators towards adoption of a diet associated with cognitive function (MIND diet). Public Health Nutr. 2021;24(7):1657–1670. doi: 10.1017/S1368980020001445.
   PubMed Web of Science ®Google Scholar
• Muñoz TM, Cruz RS, Takahashi T. Self-control in intertemporal choice and mediterranean dietary pattern. Front Public Health. 2018;6:176. doi: 10.3389/fpubh.2018.00176.
   PubMed Web of Science ®Google Scholar
• Howatt BC, Muñoz TM, Cruz RS, et al. A new analysis on self-control in intertemporal choice and mediterranean dietary pattern. Front Public Health. 2019;7:165. doi: 10.3389/fpubh.2019.00165.
   PubMed Web of Science ®Google Scholar
• Curtis K, Lebedev A, Aguirre E, et al. A medication adherence app for children with sickle cell disease: qualitative study. JMIR Mhealth Uhealth. 2019;7(6):e8130. doi: 10.2196/mhealth.8130.
   PubMed Web of Science ®Google Scholar
• Curtis KE, Lahiri S, Brown KE. Targeting parents for childhood weight management: development of a theory-driven and user-centered healthy eating app. JMIR Mhealth Uhealth. 2015;3(2):e69. doi: 10.2196/mhealth.3857.
   PubMed Web of Science ®Google Scholar
• Rohde A, Duensing A, Dawczynski C, et al. An app to improve eating habits of adolescents and young adults (challenge to go): systematic development of a theory-based and target group-adapted mobile app intervention. JMIR Mhealth Uhealth. 2019;7(8):e11575. doi: 10.2196/11575.
   PubMed Web of Science ®Google Scholar
• Mummah SA, King AC, Gardner CD, et al. Iterative development of vegethon: a theory-based mobile app intervention to increase vegetable consumption. Int J Behav Nutr Phy. 2016;13:90.
   PubMed Web of Science ®Google Scholar
• Celis-Morales C, Livingstone KM, Marsaux CF, et al. Effect of personalized nutrition on health-related behaviour change: evidence from the Food4Me european randomized controlled trial. Int J Epidemiol. 2017;46(2):578–588. doi: 10.1093/ije/dyw186.
   PubMed Web of Science ®Google Scholar
• Patton DE, Hughes CM, Cadogan CA, et al. Theory-Based interventions to improve medication adherence in older adults prescribed polypharmacy: a systematic review. Drugs Aging. 2017;34(2):97–113. doi: 10.1007/s40266-016-0426-6.
   PubMed Web of Science ®Google Scholar
• Webb TL, Joseph J, Yardley L, et al. Using the internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. J Med Internet Res. 2010;12(1):e4. doi: 10.2196/jmir.1376.
   PubMed Web of Science ®Google Scholar