Sotos-Prieto M, Bhupathiraju S.N., Mattei J, Fung T.T., Li Y, Pan A, Willett W.C., Rimm E.B., Hu F.B. Association of changes in diet quality with total and cause-specific mortality. N Engl J Med. 2017;377(2):143–53.
Article
Google Scholar
WHO. (2013). Global Action Plan for the Prevention and Control of NCDs 2013–2020. https://www.who.int/publications/i/item/9789241506236stylefix
Sommer I, Griebler U, Mahlknecht P, Thaler K, Bouskill K, Gartlehner G, Mendis S. Socioeconomic inequalities in non-communicable diseases and their risk factors: an overview of systematic reviews. BMC Public Health. 2015;15:914. https://doi.org/10.1186/s12889-015-2227-y.
Article
CAS
Google Scholar
Ball K. Traversing myths and mountains: addressing socioeconomic inequities in the promotion of nutrition and physical activity behaviours. Int J Behav Nutr Phys Act. 2015;12(1):142. https://doi.org/10.1186/s12966-015-0303-4.
Article
Google Scholar
Psaltopoulou T, Hatzis G, Papageorgiou N, Androulakis E, Briasoulis A, Tousoulis D. Socioeconomic status and risk factors for cardiovascular disease: Impact of dietary mediators. Hellenic J Cardiol. 2017;58(1):32–42. https://doi.org/10.1016/j.hjc.2017.01.022.
Article
Google Scholar
van Rossum, C., Buurma-Rethans, E., Dinnissen, C. S., Beukers, M., Brants, H., & Ocké, M. (2020). The diet of the Dutch : Results of the Dutch National Food Consumption Survey 2012–2016. https://doi.org/10.21945/RIVM-2020-0083
Darmon N, Drewnowski A. Contribution of food prices and diet cost to socioeconomic disparities in diet quality and health: a systematic review and analysis. Nutr Rev. 2015;73(10):643–60. https://doi.org/10.1093/nutrit/nuv027[doi].
Article
Google Scholar
Bukman AJ, Teuscher D, Feskens EJM, van Baak MA, Meershoek A, Renes RJ. Perceptions on healthy eating, physical activity and lifestyle advice: opportunities for adapting lifestyle interventions to individuals with low socioeconomic status. BMC Public Health. 2014;14:1036. https://doi.org/10.1186/1471-2458-14-1036.
Article
Google Scholar
Coupe N, Cotterill S, Peters S. Tailoring lifestyle interventions to low socio-economic populations: a qualitative study. BMC Public Health. 2018;18(1):967. https://doi.org/10.1186/s12889-018-5877-8.
Article
Google Scholar
van der Heijden A, te Molder H, Jager G, Mulder BC. Healthy eating beliefs and the meaning of food in populations with a low socioeconomic position: a scoping review. Appetite. 2021;161: 105135. https://doi.org/10.1016/j.appet.2021.105135.
Article
Google Scholar
Everson-Hock, E. S., Johnson, M., Jones, R., Woods, H. B., Goyder, E., Payne, N., & Chilcott, J. (2013). Community-based dietary and physical activity interventions in low socioeconomic groups in the UK: a mixed methods systematic review. Preventive Medicine, 56(5), 265–272. S0091–7435(13)00068–6.
Bayley A, Stahl D, Ashworth M, Cook DG, Whincup PH, Treasure J, Greenough A, Ridge K, Winkley K, Ismail K. Response bias to a randomised controlled trial of a lifestyle intervention in people at high risk of cardiovascular disease: a cross-sectional analysis. BMC Public Health. 2018;18(1):1092. https://doi.org/10.1186/s12889-018-5939-y.
Article
Google Scholar
Lakerveld J, Ijzelenberg W, van Tulder MW, Hellemans IM, Rauwerda JA, van Rossum AC, Seidell JC. Motives for (not) participating in a lifestyle intervention trial. BMC Med Res Methodol. 2008;8:17. https://doi.org/10.1186/1471-2288-8-17.
Article
Google Scholar
Schneider F, Schulz DN, Pouwels LHL, de Vries H, van Osch L, A.D.M. The use of a proactive dissemination strategy to optimize reach of an internet-delivered computer tailored lifestyle intervention. BMC Public Health. 2013;13(1):721. https://doi.org/10.1186/1471-2458-13-721.
Article
Google Scholar
Hadžiabdić MO, Mucalo I, Hrabač P, Matić T, Rahelić D, Božikov V. Factors predictive of drop-out and weight loss success in weight management of obese patients. J Hum Nutr Diet. 2015;28(Suppl 2):24–32. https://doi.org/10.1111/jhn.12270.
Article
Google Scholar
Roumen C, Feskens EJ, Corpeleijn E, Mensink M, Saris WH, Blaak EE. Predictors of lifestyle intervention outcome and dropout: the SLIM study. Eur J Clin Nutr. 2011;65(10):1141–7. https://doi.org/10.1038/ejcn.2011.74[doi].
Article
CAS
Google Scholar
Bull ER, McCleary N, Li X, Dombrowski SU, Dusseldorp E, Johnston M. Interventions to promote healthy eating, physical activity and smoking in low-income groups: a systematic review with meta-analysis of behavior change techniques and delivery/context. Int J Behav Med. 2018;25(6):605–16. https://doi.org/10.1007/s12529-018-9734-z.
Article
Google Scholar
Michie S, Jochelson K, Markham WA, Bridle C. Low-income groups and behaviour change interventions: a review of intervention content, effectiveness and theoretical frameworks. J Epidemiol Community Health. 2009;63(8):610–22. https://doi.org/10.1136/jech.2008.078725.
Article
CAS
Google Scholar
White, M., Adams, J., & Heywood, P. (2009). How and why do interventions that increase health overall widen inequalities within populations. Social Inequality and Public Health, 65(82)
Mackenbach JD, Nelissen KGM, Dijkstra SC, Poelman MP, Daams JG, Leijssen JB, Nicolaou M. A systematic review on socioeconomic differences in the association between the food environment and dietary behaviors. Nutrients. 2019;11(9):2215. https://doi.org/10.3390/nu11092215.DOI:10.3390/nu11092215[doi].
Article
Google Scholar
Marcone MF, Madan P, Grodzinski B. An Overview of the sociological and environmental factors influencing eating food behavior in Canada. Front Nutr. 2020;7:77. https://doi.org/10.3389/fnut.2020.00077.
Article
Google Scholar
Stanczyk NE, Bolman C, Smit ES, Candel MJJM, Muris JWM, de Vries H. How to encourage smokers to participate in web-based computer-tailored smoking cessation programs: a comparison of different recruitment strategies. Health Educ Res. 2014;29(1):23–40. https://doi.org/10.1093/her/cyt104.
Article
CAS
Google Scholar
Springvloet L, Lechner L, de Vries H, Oenema A. Long-term efficacy of a Web-based computer-tailored nutrition education intervention for adults including cognitive and environmental feedback: a randomized controlled trial. BMC Public Health. 2015;15:372. https://doi.org/10.1186/s12889-015-1707-4.
Article
Google Scholar
Kim H, Xie B. Health literacy in the eHealth era: A systematic review of the literature. Patient Educ Couns. 2017;100(6):1073–82. https://doi.org/10.1016/j.pec.2017.01.015.
Article
Google Scholar
datareportal.com/global-digital-overview. Accessed August 27, 2022.
https://longreads.cbs.nl/ict-kennis-en-economie-2021/internetgebruik-van-huishoudens-en-personen/. Accessed September 8, 2022.
Latulippe K, Hamel C, Giroux D. Social Health inequalities and ehealth: a literature review with qualitative synthesis of theoretical and empirical studies. J Med Internet Res. 2017;19(4): e136. https://doi.org/10.2196/jmir.6731.
Article
Google Scholar
F Reiners J Sturm LJW Bouw EJM Wouters 2019 Sociodemographic Factors Influencing the Use of eHealth in People with Chronic Diseases https://doi.org/10.3390/ijerph16040645
Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, Eccles MP, Cane J, Wood CE. 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. https://doi.org/10.1007/s12160-013-9486-6.
Article
Google Scholar
Armstrong, R., Hall, B. J., Doyle, J., & Waters, E. (2011). Cochrane Update. 'Scoping the scope' of a cochrane review. J Public Health (Oxford, England), 33(1), 147–150. https://doi.org/10.1093/pubmed/fdr015
Moher D, Stewart L, Shekelle P. All in the Family: systematic reviews, rapid reviews, scoping reviews, realist reviews, and more. Syst Rev. 2015;4:183. https://doi.org/10.1186/s13643-015-0163-7.
Article
Google Scholar
Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Null. 2005;8(1):19–32. https://doi.org/10.1080/1364557032000119616.
Article
Google Scholar
Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, Moher D, Peters MDJ, Horsley T, Weeks L, Hempel S, Akl EA, Chang C, McGowan J, Stewart L, Hartling L, Aldcroft A, Wilson MG, Garritty C, Straus SE. PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. Ann Intern Med. 2018;169(7):467–73. https://doi.org/10.7326/M18-0850.
Article
Google Scholar
Tonkin E, Brimblecombe J, Wycherley TP. Characteristics of smartphone applications for nutrition improvement in community settings: a scoping review. Adv Nutr. 2017;8(2):308–22. https://doi.org/10.3945/an.116.013748.
Article
Google Scholar
O Aromatario A Hoye Van A Vuillemin A Foucaut Crozet, C., Pommier, J., & Cambon, L. 2019 How do mobile health applications support behaviour changes? A scoping review of mobile health applications relating to physical activity and eating behaviours Public Health 175 8 18 https://doi.org/10.1016/j.puhe.2019.06.011
Hou S, Charlery SR, Roberson K. Systematic literature review of Internet interventions across health behaviors. Health Psychol Behav Med. 2014;2(1):455–81. https://doi.org/10.1080/21642850.2014.895368.
Article
Google Scholar
Jacobs RJ, Lou JQ, Ownby RL, Caballero J. A systematic review of eHealth interventions to improve health literacy. Health Informatics J. 2016;22(2):81–98. https://doi.org/10.1177/1460458214534092.
Article
Google Scholar
Marx, W., Kelly, J., Crichton, M., Craven, D., Collins, J., Mackay, H., Isenring, E., & Marshall, S. (2018). Is telehealth effective in managing malnutrition in community-dwelling older adults? A systematic review and meta-analysis. Maturitas, 11110.1016/j.maturitas.2018.02.012
Müller AM, Alley S, Schoeppe S, Vandelanotte C. The effectiveness of e-& mHealth interventions to promote physical activity and healthy diets in developing countries: a systematic review. Int J Behav Nutr Phys Act. 2016;13(1):109. https://doi.org/10.1186/s12966-016-0434-2.
Article
Google Scholar
Oosterveen E, Tzelepis F, Ashton L, Hutchesson MJ. A systematic review of eHealth behavioral interventions targeting smoking, nutrition, alcohol, physical activity and/or obesity for young adults. Prev Med. 2017;99:197–206. https://doi.org/10.1016/j.ypmed.2017.01.009.
Article
Google Scholar
Saronga NJ, Burrows T, Collins CE, Ashman AM, Rollo ME. mHealth interventions targeting pregnancy intakes in low and lower-middle income countries: Systematic review. Matern Child Nutr. 2019;15(2): e12777. https://doi.org/10.1111/mcn.12777.
Article
Google Scholar
health.harvard.eu/nutrition. Accessed March 10, 2020.
Looman M, Feskens EJ, de Rijk M, Meijboom S, Biesbroek S, Temme EH, de Vries J, Geelen A. Development and evaluation of the Dutch Healthy Diet index 2015. Public Health Nutr. 2017;20(13):2289–99. https://doi.org/10.1017/S136898001700091X.
Article
Google Scholar
Hoffmann TC, Glasziou PP, Boutron I, Milne R, Perera R, Moher D, Altman DG, Barbour V, Macdonald H, Johnston M, Lamb SE, Dixon-Woods M, McCulloch P, Wyatt JC, Chan A, Michie S. Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. BMJ (Clinical Research Ed). 2014;348: g1687. https://doi.org/10.1136/bmj.g1687.
Article
Google Scholar
Hong, Q. N., Pluye, P., Fàbregues, S., Bartlett, G., Boardman, F., Cargo, M., Dagenais, P., Gagnon, M., Griffiths, F., Nicolau, B., O'Cathain, A., Rousseau, M., & Vedel, I. (2018). Mixed Methods Appraisal Tool (MMAT), version 2018.
Neuenschwander LM, Abbott A, Mobley AR. Comparison of a web-based vs in-person nutrition education program for low-income adults. J Acad Nutr Diet. 2013;113(1):120–6. https://doi.org/10.1016/j.jand.2012.07.034.
Article
Google Scholar
Au LE, Whaley SE, Gurzo K, Meza M, Rosen NJ, Ritchie LD. Evaluation of online and in-person nutrition education related to salt knowledge and behaviors among special supplemental nutrition program for women, infants, and children participants. J Acad Nutr Diet. 2017;117(9):1384–95. https://doi.org/10.1016/j.jand.2016.12.013.
Article
Google Scholar
Riper H, Kramer J, Keuken M, Smit F, Schippers G, Cuijpers P. Predicting successful treatment outcome of web-based self-help for problem drinkers: secondary analysis from a randomized controlled trial. J Med Internet Res. 2008;10(4): e46. https://doi.org/10.2196/jmir.1102.
Article
Google Scholar
Block G, Wakimoto P, Metz D, Fujii ML, Feldman N, Mandel R, Sutherland B. A randomized trial of the Little by Little CD-ROM: demonstrated effectiveness in increasing fruit and vegetable intake in a low-income population. Prev Chronic Dis. 2004;1(3):A08.
Google Scholar
Springvloet L, Lechner L, de Vries H, Candel MJJM, Oenema A. Short- and medium-term efficacy of a Web-based computer-tailored nutrition education intervention for adults including cognitive and environmental feedback: randomized controlled trial. J Med Internet Res. 2015;17(1): e23. https://doi.org/10.2196/jmir.3837.
Article
Google Scholar
Delrahim-Howlett K, Chambers CD, Clapp JD, Xu R, Duke K, Moyer RJ, Van Sickle D. Web-based assessment and brief intervention for alcohol use in women of childbearing potential: a report of the primary findings. Alcohol Clin Exp Res. 2011;35(7):1331–8. https://doi.org/10.1111/j.1530-0277.2011.01469.x.
Article
Google Scholar
Power, J. M., & Bersamin, A. (2018). A Text Messaging Intervention (Txt4HappyKids) to Promote Fruit and Vegetable Intake Among Families With Young Children: Pilot Study. JMIR Formative Research, 2(2)https://doi.org/10.2196/formative.8544
Crombie IK, Irvine L, Williams B, Sniehotta FF, Petrie D, Jones C, Norrie J, Evans JMM, Emslie C, Rice PM, Slane PW, Humphris G, Ricketts IW, Melson AJ, Donnan PT, Hapca SM, McKenzie A, Achison M. Texting to Reduce Alcohol Misuse (TRAM): main findings from a randomized controlled trial of a text message intervention to reduce binge drinking among disadvantaged men. Addiction. 2018. https://doi.org/10.1111/add.14229.
Article
Google Scholar
Voogt CV, Kleinjan M, Poelen E, Lemmers L, Engels R. The effectiveness of a web-based brief alcohol intervention in reducing heavy drinking among adolescents aged 15–20 years with a low educational background: a two-arm parallel group cluster randomized controlled trial. BMC Public Health. 2013;13:694. https://doi.org/10.1186/1471-2458-13-694.
Article
Google Scholar
Gootjes DV, van Dijk MR, Koster MP, Willemsen SP, Steegers EA, Steegers-Theunissen RP. Neighborhood deprivation and the effectiveness of mobile health coaching to improve periconceptional nutrition and lifestyle in women: survey in a Large Urban Municipality in the Netherlands. JMIR Mhealth Uhealth. 2019;7(4): e11664. https://doi.org/10.2196/11664.
Article
Google Scholar
Nakamura S, Inayama T, Harada K, Arao T. Reduction in vegetable intake disparities with a web-based nutrition education intervention among lower-income adults in Japan: randomized controlled trial. J Med Internet Res. 2017;19(11): e377. https://doi.org/10.2196/jmir.8031.
Article
Google Scholar
Kaur J, Kaur M, Chakrapani V, Webster J, Santos JA, Kumar R. Effectiveness of information technology-enabled “SMART Eating” health promotion intervention: A cluster randomized controlled trial. PLoS ONE. 2020;15(1): e0225892. https://doi.org/10.1371/journal.pone.0225892.
Article
CAS
Google Scholar
Shukri M, Zin Z, Zainol K, Said S, Rajali A. The effectiveness of a computer-based method to support eating intervention among economically disadvantaged children in Malaysia. Health Educ J. 2019;78(5):497–509. https://doi.org/10.1177/0017896918823325.
Article
Google Scholar
Bensley RJ, Anderson JV, Brusk JJ, Mercer N, Rivas J. Impact of internet vs traditional Special Supplemental Nutrition Program for Women, Infants, and Children nutrition education on fruit and vegetable intake. J Am Diet Assoc. 2011;111(5):749–55. https://doi.org/10.1016/j.jada.2011.02.010.
Article
Google Scholar
Fielden AL, Sillence E, Little L, Harris PR. Online Self-Affirmation Increases Fruit and Vegetable Consumption in Groups at High Risk of Low Intake. Appl Psychol Health Well Being. 2016;8(1):3–18. https://doi.org/10.1111/aphw.12059.
Article
Google Scholar
Olson CM. Behavioral nutrition interventions using e- and m-health communication technologies: a narrative review. Annu Rev Nutr. 2016;36:647–64. https://doi.org/10.1146/annurev-nutr-071715-050815.
Article
CAS
Google Scholar
Robert C, Erdt M, Lee J, Cao Y, Naharudin NB, Theng Y. Effectiveness of eHealth Nutritional Interventions for middle-aged and older adults: systematic review and meta-analysis. J Med Internet Res. 2021;23(5): e15649. https://doi.org/10.2196/15649.
Article
Google Scholar
Rodriguez Rocha NP, Kim H. eHealth interventions for fruit and vegetable intake: a meta-analysis of effectiveness. Health Educ Behav. 2019;46(6):947–59. https://doi.org/10.1177/1090198119859396.
Article
Google Scholar
SS Shagiwal E Groenestein A Schop-Etman J Jongerling J Waal v. d., Noordzij, G., & Denktas, S. 2020 Effectiveness of behavioral interventions and behavior change techniques for reducing soft drink intake in disadvantaged adolescents: A systematic review and meta-analysis Obes Sci Pract 6 6 708 734 https://doi.org/10.1002/osp4.452
Renes R, Ronteltap A, Bukman A. Leefstijladvies voor mensen met een lage SES. Bijblijven. 2018;34:1–10. https://doi.org/10.1007/s12414-018-0311-9.
Article
Google Scholar
Dusseldorp E, van Genugten L, van Buuren S, Verheijden MW, van Empelen P. Combinations of techniques that effectively change health behavior: evidence from Meta-CART analysis. Health Psychol. 2014;33(12):1530–40. https://doi.org/10.1037/hea0000018.
Article
Google Scholar
Kok G, Gottlieb NH, Peters GY, Mullen PD, Parcel GS, Ruiter RAC, Fernández ME, Markham C, Bartholomew LK. A taxonomy of behaviour change methods: an Intervention Mapping approach. Health Psychol Rev. 2016;10(3):297–312. https://doi.org/10.1080/17437199.2015.1077155.
Article
Google Scholar
de Bruin M, Black N, Javornik N, Viechtbauer W, Eisma MC, Hartman-Boyce J, Williams AJ, West R, Michie S, Johnston M. Underreporting of the active content of behavioural interventions: a systematic review and meta-analysis of randomised trials of smoking cessation interventions. Health Psychol Rev. 2021;15(2):195–213. https://doi.org/10.1080/17437199.2019.1709098.
Article
Google Scholar
Peters GY, de Bruin M, Crutzen R. Everything should be as simple as possible, but no simpler: towards a protocol for accumulating evidence regarding the active content of health behaviour change interventions. Health Psychol Rev. 2015;9(1):1–14. https://doi.org/10.1080/17437199.2013.848409.
Article
Google Scholar
Morrison LG, Yardley L, Powell J, Michie S. What design features are used in effective e-health interventions? a review using techniques from critical interpretive synthesis. Telemed J E Health. 2012;18(2):137–44. https://doi.org/10.1089/tmj.2011.0062.
Article
Google Scholar
Sheridan SL, Halpern DJ, Viera AJ, Berkman ND, Donahue KE, Crotty K. Interventions for individuals with low health literacy: a systematic review. J Health Commun. 2011;16(Suppl 3):30–54. https://doi.org/10.1080/10810730.2011.604391.
Article
Google Scholar
Plantinga, S., & Kaal, M. (2018). Hoe mediawijs is Nederland? Onderzoek mediawijsheid. (). https://netwerkmediawijsheid.nl/wp-content/uploads/sites/6/2018/09/Rapport-Mediawijsheid-volwassenen-2018.pdf
van Beuningen, J. (2019). Ehealth: mogelijkheden, gebruik en opvattingen. https://www.cbs.nl/nl-nl/achtergrond/2019/16/ehealth-mogelijkheden-gebruik-en-opvattingen#:~:text=vragen%20over%20medische%20klachten%20willen,Landelijk%20Schakelpunt%20(LSP)%20gehoord.
Sieverink F, Kelders SM, van Gemert-Pijnen JE. Clarifying the concept of adherence to eHealth technology: systematic review on when usage becomes adherence. J Med Internet Res. 2017;19(12).
Google Scholar
Donkin L, Christensen H, Naismith SL, Neal B, Hickie IB, Glozier N. A systematic review of the impact of adherence on the effectiveness of e-therapies. J Med Internet Res. 2011;13(3): e52. https://doi.org/10.2196/jmir.1772.
Article
Google Scholar
Bartholomew Eldredge, L. K., Markham, C. M., Ruiter, R., Fernandez, M. E., Kok, G., & Parcel, G. S. (2016). Planning Health Promotion Programs: An Intervention Mapping Approach (4th ed.). Jossey-Bass.
WHO. (2016). Monitoring and evaluating digital health interventions: a practical guide to conducting research and assessment. https://apps.who.int/iris/handle/10665/252183.