Optimizing an mHealth Intervention to Change Food Purchasing Behaviors for Cancer Prevention: Protocol for a Pilot Randomized Controlled Trial

Olivia Z Horgan, Nicole T Crane, Evan M Forman, Brandy-Joe Milliron, Nicole L Simone, Fengqing Zhang, Meghan L Butryn, Olivia Z Horgan, Nicole T Crane, Evan M Forman, Brandy-Joe Milliron, Nicole L Simone, Fengqing Zhang, Meghan L Butryn

Abstract

Background: Dietary intake is a powerful modifiable factor that influences cancer risk; however, most US adults do not adhere to dietary guidelines for cancer prevention. One promising pathway for improving dietary adherence is targeting grocery shopping habits. Interventions might facilitate healthy grocery choices, with a combination of mHealth and traditional methods, by promoting the salience of dietary goals while shopping, enhancing motivation to make dietary changes, and increasing household support for healthy food purchasing.

Objective: This pilot study will assess feasibility and acceptability of intervention components designed to improve adherence to dietary guidelines for cancer prevention (preliminary aim). The primary aim of the study is to quantify the effect of each intervention component, individually and in combination, on dietary intake (primary aim) and grocery store food purchases (exploratory aim). Mediation analyses will be conducted to understand the mechanisms of action (goal salience, motivation, and household support-secondary aims). The overarching goal is to optimize an mHealth intervention to be tested in a future fully powered clinical trial.

Methods: The study enrolled adults (N=62) with low adherence to dietary recommendations for cancer prevention. In a 20-week program, all participants attend a nutrition education workshop and receive weekly educational messages through an app. A factorial design is used to test 4 intervention components: (1) location-triggered messages: educational messages are delivered when arriving at grocery stores; (2) reflections on the benefits of change: content is added to messages to encourage reflection on anticipated benefits of healthy eating, and participants attend an additional workshop session and 3 coach calls on this topic; (3) coach monitoring: food purchases are monitored digitally by a coach who sends personalized weekly app messages and conducts 3 coaching calls that focus on feedback about purchases; and (4) household support: another adult in the household receives messages designed to elicit support for healthy food purchasing, and support is addressed in 3 coach calls and an extra workshop session attended by the index participant and household member. Assessments are completed at weeks 0, 10, and 20 using self-report measures, as well as objective capture of grocery data from the point of purchase using store loyalty accounts.

Results: The National Cancer Institute funded this study (R21CA252933) on July 7, 2020. Participant recruitment began in the spring of 2021 and concluded with the successful enrollment of 62 participants. Data collection is expected to be completed in the summer of 2022, and results are expected to be disseminated in the summer of 2023.

Conclusions: The results of this study will inform the development of scalable interventions to lower cancer risk via changes in dietary intake.

Trial registration: ClinicalTrials.gov NCT04947150; https://ichgcp.net/clinical-trials-registry/NCT04947150.

International registered report identifier (irrid): DERR1-10.2196/39669.

Keywords: cancer prevention; diet; eating; grocery shopping; mHealth; mobile phone.

Conflict of interest statement

Conflicts of Interest: None declared.

©Olivia Z Horgan, Nicole T Crane, Evan M Forman, Brandy-Joe Milliron, Nicole L Simone, Fengqing Zhang, Meghan L Butryn. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 24.06.2022.

Figures

Figure 1
Figure 1
Project EatWell conceptual model.
Figure 2
Figure 2
Project EatWell consort diagram.

References

    1. American Cancer Society. 2016. [2021-10-01]. .
    1. Kushi LH, Doyle C, McCullough M, Rock CL, Demark-Wahnefried W, Bandera EV, Gapstur S, Patel AV, Andrews K, Gansler T, American Cancer Society 2010 Nutrition and Physical Activity Guidelines Advisory Committee American Cancer Society Guidelines on nutrition and physical activity for cancer prevention: reducing the risk of cancer with healthy food choices and physical activity. CA Cancer J Clin. 2012;62(1):30–67. doi: 10.3322/caac.20140. doi: 10.3322/caac.20140.
    1. Continuous Update Project Expert Report Diet, nutrition, physical activity and cancer: a global perspective – a summary of the third expert report. World Cancer Research Fund/American Institute for Cancer Research. 2018. [2021-10-01]. .
    1. Hastert TA, Beresford SA, Sheppard L, White E. Adherence to the WCRF/AICR cancer prevention recommendations and cancer-specific mortality: results from the Vitamins and Lifestyle (VITAL) Study. Cancer Causes Control. 2014 May;25(5):541–52. doi: 10.1007/s10552-014-0358-6.
    1. Kohler LN, Garcia DO, Harris RB, Oren E, Roe DJ, Jacobs ET. Adherence to diet and physical activity cancer prevention guidelines and cancer outcomes: a systematic review. Cancer Epidemiol Biomarkers Prev. 2016 Jul;25(7):1018–28. doi: 10.1158/1055-9965.EPI-16-0121. 1055-9965.EPI-16-0121
    1. Romaguera D, Vergnaud AC, Peeters PH, van Gils CH, Chan DS, Ferrari P, Romieu I, Jenab M, Slimani N, Clavel-Chapelon F, Fagherazzi G, Perquier F, Kaaks R, Teucher B, Boeing H, von Rüsten A, Tjønneland A, Olsen A, Dahm CC, Overvad K, Quirós JR, Gonzalez CA, Sánchez MJ, Navarro C, Barricarte A, Dorronsoro M, Khaw KT, Wareham NJ, Crowe FL, Key TJ, Trichopoulou A, Lagiou P, Bamia C, Masala G, Vineis P, Tumino R, Sieri S, Panico S, May AM, Bueno-de-Mesquita HB, Büchner FL, Wirfält E, Manjer J, Johansson I, Hallmans G, Skeie G, Benjaminsen Borch K, Parr CL, Riboli E, Norat T. Is concordance with World Cancer Research Fund/American Institute for Cancer Research guidelines for cancer prevention related to subsequent risk of cancer? Results from the EPIC study. Am J Clin Nutr. 2012 Jul;96(1):150–63. doi: 10.3945/ajcn.111.031674.ajcn.111.031674
    1. Romaguera D, Ward H, Wark PA, Vergnaud AC, Peeters PH, van Gils CH, Ferrari P, Fedirko V, Jenab M, Boutron-Ruault MC, Dossus L, Dartois L, Hansen CP, Dahm CC, Buckland G, Sánchez MJ, Dorronsoro M, Navarro C, Barricarte A, Key TJ, Trichopoulou A, Tsironis C, Lagiou P, Masala G, Pala V, Tumino R, Vineis P, Panico S, Bueno-de-Mesquita HB, Siersema PD, Ohlsson B, Jirström K, Wennberg M, Nilsson LM, Weiderpass E, Kühn T, Katzke V, Khaw KT, Wareham NJ, Tjønneland A, Boeing H, Quirós JR, Gunter MJ, Riboli E, Norat T. Pre-diagnostic concordance with the WCRF/AICR guidelines and survival in European colorectal cancer patients: a cohort study. BMC Med. 2015 May 07;13:107. doi: 10.1186/s12916-015-0332-5. 10.1186/s12916-015-0332-5
    1. Vergnaud AC, Romaguera D, Peeters PH, van Gils CH, Chan DS, Romieu I, Freisling H, Ferrari P, Clavel-Chapelon F, Fagherazzi G, Dartois L, Li K, Tikk K, Bergmann MM, Boeing H, Tjønneland A, Olsen A, Overvad K, Dahm CC, Redondo ML, Agudo A, Sánchez MJ, Amiano P, Chirlaque MD, Ardanaz E, Khaw KT, Wareham NJ, Crowe F, Trichopoulou A, Orfanos P, Trichopoulos D, Masala G, Sieri S, Tumino R, Vineis P, Panico S, Bueno-de-Mesquita HB, Ros MM, May A, Wirfält E, Sonestedt E, Johansson I, Hallmans G, Lund E, Weiderpass E, Parr CL, Riboli E, Norat T. Adherence to the World Cancer Research Fund/American Institute for Cancer Research guidelines and risk of death in Europe: results from the European Prospective Investigation into Nutrition and Cancer cohort study1,4. Am J Clin Nutr. 2013 May;97(5):1107–20. doi: 10.3945/ajcn.112.049569.ajcn.112.049569
    1. Aune D, Giovannucci E, Boffetta P, Fadnes LT, Keum N, Norat T, Greenwood DC, Riboli E, Vatten LJ, Tonstad S. Fruit and vegetable intake and the risk of cardiovascular disease, total cancer and all-cause mortality-a systematic review and dose-response meta-analysis of prospective studies. Int J Epidemiol. 2017 Jun 01;46(3):1029–56. doi: 10.1093/ije/dyw319. 3039477
    1. Wargovich MJ. Anticancer properties of fruits and vegetables. Am Soc Hort Sci. 2000 Jul;35(4):573–5. doi: 10.21273/hortsci.35.4.573.
    1. Bouvard V, Loomis D, Guyton KZ, Grosse Y, Ghissassi FE, Benbrahim-Tallaa L, Guha N, Mattock H, Straif K, International Agency for Research on Cancer Monograph Working Group Carcinogenicity of consumption of red and processed meat. Lancet Oncol. 2015 Dec;16(16):1599–600. doi: 10.1016/S1470-2045(15)00444-1.S1470-2045(15)00444-1
    1. Cascella M, Bimonte S, Barbieri A, Del Vecchio V, Caliendo D, Schiavone V, Fusco R, Granata V, Arra C, Cuomo A. Dissecting the mechanisms and molecules underlying the potential carcinogenicity of red and processed meat in colorectal cancer (CRC): an overview on the current state of knowledge. Infect Agent Cancer. 2018 Jan 15;13:3. doi: 10.1186/s13027-018-0174-9. 174
    1. Domingo JL, Nadal M. Carcinogenicity of consumption of red meat and processed meat: a review of scientific news since the IARC decision. Food Chem Toxicol. 2017 Jul;105:256–61. doi: 10.1016/j.fct.2017.04.028.S0278-6915(17)30205-3
    1. Bianchini F, Kaaks R, Vainio H. Overweight, obesity, and cancer risk. Lancet Oncol. 2002 Sep;3(9):565–74. doi: 10.1016/s1470-2045(02)00849-5.S1470204502008495
    1. Vucenik I, Stains JP. Obesity and cancer risk: evidence, mechanisms, and recommendations. Ann N Y Acad Sci. 2012 Oct;1271(1):37–43. doi: 10.1111/j.1749-6632.2012.06750.x. doi: 10.1111/j.1749-6632.2012.06750.x.
    1. Aune D, Chan DS, Vieira AR, Navarro Rosenblatt DA, Vieira R, Greenwood DC, Cade JE, Burley VJ, Norat T. Dietary fructose, carbohydrates, glycemic indices and pancreatic cancer risk: a systematic review and meta-analysis of cohort studies. Ann Oncol. 2012 Oct;23(10):2536–46. doi: 10.1093/annonc/mds076. S0923-7534(19)37962-1
    1. Fiolet T, Srour B, Sellem L, Kesse-Guyot E, Allès B, Méjean C, Deschasaux M, Fassier P, Latino-Martel P, Beslay M, Hercberg S, Lavalette C, Monteiro CA, Julia C, Touvier M. Consumption of ultra-processed foods and cancer risk: results from NutriNet-Santé prospective cohort. BMJ. 2018 Feb 14;360:k322. doi: 10.1136/bmj.k322.
    1. Turati F, Rossi M, Pelucchi C, Levi F, La Vecchia C. Fruit and vegetables and cancer risk: a review of southern European studies. Br J Nutr. 2015 Apr;113 Suppl 2:S102–10. doi: 10.1017/S0007114515000148.S0007114515000148
    1. Haack SA, Byker CJ. Recent population adherence to and knowledge of United States federal nutrition guides, 1992-2013: a systematic review. Nutr Rev. 2014 Oct;72(10):613–26. doi: 10.1111/nure.12140.
    1. Krebs-Smith SM, Guenther PM, Subar AF, Kirkpatrick SI, Dodd KW. Americans do not meet federal dietary recommendations. J Nutr. 2010 Oct;140(10):1832–8. doi: 10.3945/jn.110.124826. jn.110.124826
    1. Guenther PM, Dodd KW, Reedy J, Krebs-Smith SM. Most Americans eat much less than recommended amounts of fruits and vegetables. J Am Diet Assoc. 2006 Sep;106(9):1371–9. doi: 10.1016/j.jada.2006.06.002.S0002-8223(06)01379-4
    1. Rehm CD, Peñalvo JL, Afshin A, Mozaffarian D. Dietary intake among US adults, 1999-2012. JAMA. 2016 Jun 21;315(23):2542–53. doi: 10.1001/jama.2016.7491. 2529628
    1. Zheng H, Lenard NR, Shin AC, Berthoud HR. Appetite control and energy balance regulation in the modern world: reward-driven brain overrides repletion signals. Int J Obes (Lond) 2009 Jun;33 Suppl 2:S8–13. doi: 10.1038/ijo.2009.65. ijo200965
    1. Smith LP, Ng SW, Popkin BM. Trends in US home food preparation and consumption: analysis of national nutrition surveys and time use studies from 1965-1966 to 2007-2008. Nutr J. 2013 Apr 11;12:45. doi: 10.1186/1475-2891-12-45. 1475-2891-12-45
    1. Drewnowski A, Rehm CD. Energy intakes of US children and adults by food purchase location and by specific food source. Nutr J. 2013 May 08;12:59. doi: 10.1186/1475-2891-12-59. 1475-2891-12-59
    1. In-store grocery shopping frequency of U.S. households in 2017. Statista. 2017. [2021-10-01].
    1. Consumers' weekly grocery shopping trips in the United States from 2006 to 2019 (average weekly trips per household) Statista. 2019. [2021-10-01].
    1. Hamrick KS, Andrews M, Guthrie J, Hopkins D, McClelland K. How much time do Americans spend on food? United States Department of Agriculture, Economic Research Service. 2011. [2021-10-01]. .
    1. Liese AD, Ma X, Hutto B, Sharpe PA, Bell BA, Wilcox S. Food shopping and acquisition behaviors in relation to BMI among residents of low-income communities in South Carolina. Int J Environ Res Public Health. 2017 Sep 16;14(9):1075. doi: 10.3390/ijerph14091075. ijerph14091075
    1. Jiao J, Vernez Moudon A, Drewnowski A. Does urban form influence grocery shopping frequency? A study from Seattle, Washington, USA. Int J Retail Distrib Manag. 2016 Sep 12;44(9):903–22. doi: 10.1108/ijrdm-06-2015-0091.
    1. Ferriday D, Brunstrom JM. How does food-cue exposure lead to larger meal sizes? Br J Nutr. 2008 Dec;100(6):1325–32. doi: 10.1017/S0007114508978296.S0007114508978296
    1. Cohen DA, Babey SH. Contextual influences on eating behaviours: heuristic processing and dietary choices. Obes Rev. 2012 Sep;13(9):766–79. doi: 10.1111/j.1467-789X.2012.01001.x.
    1. Boswell RG, Kober H. Food cue reactivity and craving predict eating and weight gain: a meta-analytic review. Obes Rev. 2016 Feb;17(2):159–77. doi: 10.1111/obr.12354.
    1. Cohen DA. Neurophysiological pathways to obesity: below awareness and beyond individual control. Diabetes. 2008 Jul;57(7):1768–73. doi: 10.2337/db08-0163. db08-0163
    1. Fulkerson JA, Nelson MC, Lytle L, Moe S, Heitzler C, Pasch KE. The validation of a home food inventory. Int J Behav Nutr Phys Act. 2008 Nov 04;5:55. doi: 10.1186/1479-5868-5-55. 1479-5868-5-55
    1. Haardörfer R, Alcantara I, Addison A, Glanz K, Kegler MC. The impact of home, work, and church environments on fat intake over time among rural residents: a longitudinal observational study. BMC Public Health. 2016 Jan 29;16:90. doi: 10.1186/s12889-016-2764-z. 10.1186/s12889-016-2764-z
    1. Hermstad AK, Swan DW, Kegler MC, Barnette JK, Glanz K. Individual and environmental correlates of dietary fat intake in rural communities: a structural equation model analysis. Soc Sci Med. 2010 Jul;71(1):93–101. doi: 10.1016/j.socscimed.2010.03.028.S0277-9536(10)00277-7
    1. Patterson RE, Kristal AR, Shannon J, Hunt JR, White E. Using a brief household food inventory as an environmental indicator of individual dietary practices. Am J Public Health. 1997 Feb;87(2):272–5. doi: 10.2105/ajph.87.2.272.
    1. Raynor HA, Polley BA, Wing RR, Jeffery RW. Is dietary fat intake related to liking or household availability of high- and low-fat foods? Obes Res. 2004 May;12(5):816–23. doi: 10.1038/oby.2004.98. doi: 10.1038/oby.2004.98.12/5/816
    1. Kegler MC, Alcantara I, Haardörfer R, Gazmararian JA, Ballard D, Sabbs D. The influence of home food environments on eating behaviors of overweight and obese women. J Nutr Educ Behav. 2014;46(3):188–96. doi: 10.1016/j.jneb.2014.01.001.S1499-4046(14)00003-7
    1. Milosavljevic M, Koch C, Rangel A. Consumers can make decisions in as little as a third of a second. Judgm Decis Mak. 2011 Aug;6(6):520–30.
    1. Dayan E, Bar-Hillel M. Nudge to nobesity II: menu positions influence food orders. Judgm Decis Mak. 2011 Jun;6(4):333–42.
    1. Ariely D. Predictably Irrational, Revised and Expanded Edition: The Hidden Forces That Shape Our Decisions. New York, NY, USA: Harper Collins; 2010.
    1. Volkow ND, Wang GJ, Maynard L, Jayne M, Fowler JS, Zhu W, Logan J, Gatley SJ, Ding YS, Wong C, Pappas N. Brain dopamine is associated with eating behaviors in humans. Int J Eat Disord. 2003 Mar;33(2):136–42. doi: 10.1002/eat.10118.
    1. Waterlander WE, de Boer MR, Schuit AJ, Seidell JC, Steenhuis IH. Price discounts significantly enhance fruit and vegetable purchases when combined with nutrition education: a randomized controlled supermarket trial. Am J Clin Nutr. 2013 Apr;97(4):886–95. doi: 10.3945/ajcn.112.041632.ajcn.112.041632
    1. Hartmann-Boyce J, Bianchi F, Piernas C, Payne Riches S, Frie K, Nourse R, Jebb SA. Grocery store interventions to change food purchasing behaviors: a systematic review of randomized controlled trials. Am J Clin Nutr. 2018 Jun 01;107(6):1004–16. doi: 10.1093/ajcn/nqy045. 5032657
    1. Bangia D, Palmer-Keenan DM. Grocery store podcast about omega-3 fatty acids influences shopping behaviors: a pilot study. J Nutr Educ Behav. 2014;46(6):616–20. doi: 10.1016/j.jneb.2014.06.007.S1499-4046(14)00583-1
    1. Bangia D, Shaffner DW, Palmer-Keenan DM. A point-of-purchase intervention using grocery store tour podcasts about omega-3s increases long-term purchases of omega-3-rich food items. J Nutr Educ Behav. 2017 Jun;49(6):475–80.e1. doi: 10.1016/j.jneb.2017.02.008.S1499-4046(17)30130-6
    1. Papies EK, Potjes I, Keesman M, Schwinghammer S, van Koningsbruggen GM. Using health primes to reduce unhealthy snack purchases among overweight consumers in a grocery store. Int J Obes (Lond) 2014 Apr;38(4):597–602. doi: 10.1038/ijo.2013.136. ijo2013136
    1. Saarela AM. Change of behaviour when selecting food products in a supermarket environment after reminding consumers about weight management. Public Health Nutr. 2014 May;17(5):1147–55. doi: 10.1017/S136898001300044X.S136898001300044X
    1. Stöckli S, Stämpfli AE, Messner C, Brunner TA. An (un)healthy poster: when environmental cues affect consumers' food choices at vending machines. Appetite. 2016 Jan 01;96:368–74. doi: 10.1016/j.appet.2015.09.034. S0195-6663(15)30045-3
    1. van Herpen E, van Trijp HC. Front-of-pack nutrition labels. Their effect on attention and choices when consumers have varying goals and time constraints. Appetite. 2011 Aug;57(1):148–60. doi: 10.1016/j.appet.2011.04.011.S0195-6663(11)00132-2
    1. Botelho AM, de Camargo AM, Dean M, Fiates GM. Effect of a health reminder on consumers’ selection of ultra-processed foods in a supermarket. Food Qual Prefer. 2019 Jan;71:431–7. doi: 10.1016/j.foodqual.2018.08.017.
    1. Atoloye AT, Durward C. Being motivated by nutrition is associated with healthy home food environment of Supplemental Nutrition Assistance Program (SNAP) recipients. J Nutr Educ Behav. 2019 Jan;51(1):101–6. doi: 10.1016/j.jneb.2018.07.013.S1499-4046(18)30680-8
    1. Visschers VH, Hess R, Siegrist M. Health motivation and product design determine consumers' visual attention to nutrition information on food products. Public Health Nutr. 2010 Jul;13(7):1099–106. doi: 10.1017/S1368980009993235.S1368980009993235
    1. Dassen FC, Jansen A, Nederkoorn C, Houben K. Focus on the future: episodic future thinking reduces discount rate and snacking. Appetite. 2016 Jan 01;96:327–32. doi: 10.1016/j.appet.2015.09.032.S0195-6663(15)30043-X
    1. Forman EM, Hoffman KL, Juarascio AS, Butryn ML, Herbert JD. Comparison of acceptance-based and standard cognitive-based coping strategies for craving sweets in overweight and obese women. Eat Behav. 2013 Jan;14(1):64–8. doi: 10.1016/j.eatbeh.2012.10.016.S1471-0153(12)00124-9
    1. Forman EM, Hoffman KL, McGrath KB, Herbert JD, Brandsma LL, Lowe MR. A comparison of acceptance- and control-based strategies for coping with food cravings: an analog study. Behav Res Ther. 2007 Oct;45(10):2372–86. doi: 10.1016/j.brat.2007.04.004.S0005-7967(07)00081-2
    1. Goodwin CL, Forman EM, Herbert JD, Butryn ML, Ledley GS. A pilot study examining the initial effectiveness of a brief acceptance-based behavior therapy for modifying diet and physical activity among cardiac patients. Behav Modif. 2012 Mar;36(2):199–217. doi: 10.1177/0145445511427770.0145445511427770
    1. Kang J, Jun J, Arendt SW. Understanding customers’ healthy food choices at casual dining restaurants: using the Value–Attitude–Behavior model. Int J Hosp Manag. 2015 Jul;48:12–21. doi: 10.1016/j.ijhm.2015.04.005.
    1. O'Neill J, Daniel TO, Epstein LH. Episodic future thinking reduces eating in a food court. Eat Behav. 2016 Jan;20:9–13. doi: 10.1016/j.eatbeh.2015.10.002.S1471-0153(15)30014-3
    1. Vansteenkiste M, Sheldon KM. There's nothing more practical than a good theory: integrating motivational interviewing and self-determination theory. Br J Clin Psychol. 2006 Mar;45(Pt 1):63–82. doi: 10.1348/014466505X34192.
    1. Hollis-Hansen K, Seidman J, O'Donnell S, Epstein LH. Episodic future thinking and grocery shopping online. Appetite. 2019 Feb 01;133:1–9. doi: 10.1016/j.appet.2018.10.019. S0195-6663(18)31022-5
    1. Nyer PU, Dellande S. Public commitment as a motivator for weight loss. Psychol Mark. 2010;27(1):1–12. doi: 10.1002/mar.20316.
    1. Leake R, Friend R, Wadhwa N. Improving adjustment to chronic illness through strategic self-presentation: an experimental study on a renal dialysis unit. Health Psychol. 1999 Jan;18(1):54–62. doi: 10.1037//0278-6133.18.1.54.
    1. Carver CS, Scheier MF. On the Self-Regulation of Behavior. Cambridge, UK: Cambridge University Press; 1998.
    1. Wicklund RA. Objective self-awareness. Adv Exp Soc Psychol. 1975;8:233–75. doi: 10.1016/s0065-2601(08)60252-x.
    1. Wicklund RA, Duval S. A Theory of Objective Self-Awareness. Oxford, UK: Academic Press; 1972.
    1. Deci EL, Koestner R, Ryan RM. A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychol Bull. 1999 Nov;125(6):627–700. doi: 10.1037/0033-2909.125.6.627.
    1. Cameron J, Pierce WD. Reinforcement, reward, and intrinsic motivation: a meta-analysis. Rev Educ Res. 1994 Sep 1;64(3):363–423. doi: 10.3102/00346543064003363.
    1. Mohr DC, Cuijpers P, Lehman K. Supportive accountability: a model for providing human support to enhance adherence to eHealth interventions. J Med Internet Res. 2011 Mar 10;13(1):e30. doi: 10.2196/jmir.1602. v13i1e30
    1. Fry JP, Neff RA. Periodic prompts and reminders in health promotion and health behavior interventions: systematic review. J Med Internet Res. 2009 May 14;11(2):e16. doi: 10.2196/jmir.1138. v11i2e16
    1. Hollywood LE, Cuskelly GJ, O'Brien M, McConnon A, Barnett J, Raats MM, Dean M. Healthful grocery shopping. Perceptions and barriers. Appetite. 2013 Nov;70:119–26. doi: 10.1016/j.appet.2013.06.090.S0195-6663(13)00316-4
    1. Laran J. Goal management in sequential choices: consumer choices for others are more indulgent than personal choices. J Consum Res. 2010 Aug 01;37(2):304–14. doi: 10.1086/652193.
    1. Raskind IG, Woodruff RC, Ballard D, Cherry ST, Daniel S, Haardörfer R, Kegler MC. Decision-making processes shaping the home food environments of young adult women with and without children. Appetite. 2017 Jun 01;113:124–33. doi: 10.1016/j.appet.2017.02.027.S0195-6663(17)30264-7
    1. Salmon SJ, De Vet E, Adriaanse MA, Fennis BM, Veltkamp M, De Ridder DT. Social proof in the supermarket: promoting healthy choices under low self-control conditions. Food Qual Prefer. 2015 Oct;45:113–20. doi: 10.1016/j.foodqual.2015.06.004.
    1. Robinson E, Thomas J, Aveyard P, Higgs S. What everyone else is eating: a systematic review and meta-analysis of the effect of informational eating norms on eating behavior. J Acad Nutr Diet. 2014 Mar;114(3):414–29. doi: 10.1016/j.jand.2013.11.009.S2212-2672(13)01680-8
    1. Bevelander KE, Anschütz DJ, Engels RC. Social modeling of food purchases at supermarkets in teenage girls. Appetite. 2011 Aug;57(1):99–104. doi: 10.1016/j.appet.2011.04.005.S0195-6663(11)00126-7
    1. Vandelanotte C, Müller AM, Short CE, Hingle M, Nathan N, Williams SL, Lopez ML, Parekh S, Maher CA. Past, present, and future of eHealth and mHealth research to improve physical activity and dietary behaviors. J Nutr Educ Behav. 2016 Mar;48(3):219–28. doi: 10.1016/j.jneb.2015.12.006.S1499-4046(15)00806-4
    1. 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 Dec 07;13(1):127. doi: 10.1186/s12966-016-0454-y. 10.1186/s12966-016-0454-y
    1. Changizi M, Kaveh MH. Effectiveness of the mHealth technology in improvement of healthy behaviors in an elderly population-a systematic review. Mhealth. 2017 Nov 27;3:51. doi: 10.21037/mhealth.2017.08.06. doi: 10.21037/-03-2017.08.06
    1. mHealth: new horizons for health through mobile technologies: second global survey on eHealth. World Health Organization. 2011. [2021-10-01]. .
    1. Mobile fact sheet. Pew Research Center. 2021. [2022-01-01].
    1. Ericsson mobility report: on the pulse of the Networked Society. Ericsson. 2021. [2022-01-01]. .
    1. Hunsley J. Treatment acceptability of symptom prescription techniques. J Counsel Psychol. 1993;40(2):139–43. doi: 10.1037/0022-0167.40.2.139.
    1. Automated Self-Administered 24-Hour (ASA24®) Dietary Assessment Tool. Division of Cancer Control & Population Sciences, National Cancer Institute. [2021-12-01].
    1. Division of Cancer Control & Population Sciences, National Cancer Institute. 2017. [2021-12-01]. .
    1. Moshfegh AJ, Rhodes DG, Baer DJ, Murayi T, Clemens JC, Rumpler WV, Paul DR, Sebastian RS, Kuczynski KJ, Ingwersen LA, Staples RC, Cleveland LE. The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes. Am J Clin Nutr. 2008 Aug;88(2):324–32. doi: 10.1093/ajcn/88.2.324.88/2/324
    1. Diet History Questionnaire III (DHQ III) Epidemiology and Genomics Research Program, National Cancer Institute, National Institutes of Health. 2021. [2021-12-01].
    1. Monteiro CA, Levy RB, Claro RM, Castro IR, Cannon G. A new classification of foods based on the extent and purpose of their processing. Cad Saude Publica. 2010 Nov;26(11):2039–49. doi: 10.1590/s0102-311x2010001100005. S0102-311X2010001100005
    1. Food and Nutrient Database for Dietary Studies (FNDDS) U.S. Department of Agriculture, Agricultural Research Service. 2014. [2021-10-01]. .
    1. Epidemiology and Genomics Research Program, National Cancer Institute, National Institutes of Health. [2021-12-01].
    1. Turati F, Dalmartello M, Bravi F, Serraino D, Augustin L, Giacosa A, Negri E, Levi F, La Vecchia C. Adherence to the World Cancer Research Fund/American Institute for Cancer Research recommendations and the risk of breast cancer. Nutrients. 2020 Feb 26;12(3):607. doi: 10.3390/nu12030607. nu12030607
    1. Rifas-Shiman SL, Willett WC, Lobb R, Kotch J, Dart C, Gillman MW. PrimeScreen, a brief dietary screening tool: reproducibility and comparability with both a longer food frequency questionnaire and biomarkers. Public Health Nutr. 2001 Apr;4(2):249–54. doi: 10.1079/phn200061.S1368980001001343a
    1. Segal-Isaacson CJ, Wylie-Rosett J, Gans KM. Validation of a short dietary assessment questionnaire: the Rapid Eating and Activity Assessment for Participants short version (REAP-S) Diabetes Educ. 2004;30(5):774–81. doi: 10.1177/014572170403000512.
    1. Forman EM, Chwyl C, Berry MP, Taylor LC, Butryn ML, Coffman DL, Juarascio A, Manasse SM. Evaluating the efficacy of mindfulness and acceptance-based treatment components for weight loss: protocol for a multiphase optimization strategy trial. Contemp Clin Trials. 2021 Nov;110:106573. doi: 10.1016/j.cct.2021.106573. S1551-7144(21)00309-8
    1. El Dahr H, Fort F. Effect of goals salience and goals conflict on typicality: the case of "Health Food". Association for Consumer Research. 2008. [2022-01-01]. .
    1. Levesque CS, Williams GC, Elliot D, Pickering MA, Bodenhamer B, Finley PJ. Validating the theoretical structure of the Treatment Self-Regulation Questionnaire (TSRQ) across three different health behaviors. Health Educ Res. 2007 Oct;22(5):691–702. doi: 10.1093/her/cyl148.cyl148
    1. Sallis JF, Grossman RM, Pinski RB, Patterson TL, Nader PR. The development of scales to measure social support for diet and exercise behaviors. Prev Med. 1987 Nov;16(6):825–36. doi: 10.1016/0091-7435(87)90022-3.
    1. Ball K, Crawford D. An investigation of psychological, social and environmental correlates of obesity and weight gain in young women. Int J Obes (Lond) 2006 Aug;30(8):1240–9. doi: 10.1038/sj.ijo.0803267.0803267
    1. Kiernan M, Moore SD, Schoffman DE, Lee K, King AC, Taylor CB, Kiernan NE, Perri MG. Social support for healthy behaviors: scale psychometrics and prediction of weight loss among women in a behavioral program. Obesity (Silver Spring) 2012 Apr;20(4):756–64. doi: 10.1038/oby.2011.293. doi: 10.1038/oby.2011.293.oby2011293
    1. Hendrick SS. A generic measure of relationship satisfaction. J Marriage Fam. 1988 Feb;50(1):93–8. doi: 10.2307/352430.
    1. Cappelleri JC, Bushmakin AG, Gerber RA, Leidy NK, Sexton CC, Lowe MR, Karlsson J. Psychometric analysis of the Three-Factor Eating Questionnaire-R21: results from a large diverse sample of obese and non-obese participants. Int J Obes (Lond) 2009 Jun;33(6):611–20. doi: 10.1038/ijo.2009.74.ijo200974
    1. Makarem N, Bandera EV, Nicholson JM, Parekh N. Consumption of sugars, sugary foods, and sugary beverages in relation to cancer risk: a systematic review of longitudinal studies. Annu Rev Nutr. 2018 Aug 21;38:17–39. doi: 10.1146/annurev-nutr-082117-051805.
    1. Collins LM, Murphy SA, Strecher V. The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART): new methods for more potent eHealth interventions. Am J Prev Med. 2007 May;32(5 Suppl):S112–8. doi: 10.1016/j.amepre.2007.01.022. S0749-3797(07)00051-7
    1. Wang Y, Xu R, Schwartz M, Ghosh D, Chen X. COVID-19 and retail grocery management: insights from a broad-based consumer survey. IEEE Eng Manag Rev. 2020 Sep 1;48(3):202–11. doi: 10.1109/emr.2020.3011054.
    1. Chenarides L, Grebitus C, Lusk JL, Printezis I. Food consumption behavior during the COVID-19 pandemic. Agribusiness (N Y N Y) 2020 Dec 15; doi: 10.1002/agr.21679. AGR21679
    1. Ellison B, McFadden B, Rickard BJ, Wilson NL. Examining food purchase behavior and food values during the COVID-19 pandemic. Appl Econ Perspect Policy. 2020 Nov 04;43(1):58–72. doi: 10.1002/aepp.13118.
    1. Subar AF, Kirkpatrick SI, Mittl B, Zimmerman TP, Thompson FE, Bingley C, Willis G, Islam NG, Baranowski T, McNutt S, Potischman N. The automated self-administered 24-hour dietary recall (ASA24): a resource for researchers, clinicians, and educators from the National Cancer Institute. J Acad Nutr Diet. 2012 Aug;112(8):1134–7. doi: 10.1016/j.jand.2012.04.016. S2212-2672(12)00589-8
    1. Park Y, Dodd KW, Kipnis V, Thompson FE, Potischman N, Schoeller DA, Baer DJ, Midthune D, Troiano RP, Bowles H, Subar AF. Comparison of self-reported dietary intakes from the Automated Self-Administered 24-h recall, 4-d food records, and food-frequency questionnaires against recovery biomarkers. Am J Clin Nutr. 2018 Jan 01;107(1):80–93. doi: 10.1093/ajcn/nqx002. 4825200

Source: PubMed

Sponzoři a spolupracovníci

Zdravotní podmínky

Drogové intervence

3
Předplatit