Long-term Effectiveness of a Smartphone App Combined With a Smart Band on Weight Loss, Physical Activity, and Caloric Intake in a Population With Overweight and Obesity (Evident 3 Study): Randomized Controlled Trial

Cristina Lugones-Sanchez, Jose I Recio-Rodriguez, Cristina Agudo-Conde, Irene Repiso-Gento, Esther G Adalia, José Ignacio Ramirez-Manent, Maria Antonia Sanchez-Calavera, Emiliano Rodriguez-Sanchez, Manuel A Gomez-Marcos, Luis Garcia-Ortiz, EVIDENT 3 Investigators, Cristina Lugones-Sanchez, Jose I Recio-Rodriguez, Cristina Agudo-Conde, Irene Repiso-Gento, Esther G Adalia, José Ignacio Ramirez-Manent, Maria Antonia Sanchez-Calavera, Emiliano Rodriguez-Sanchez, Manuel A Gomez-Marcos, Luis Garcia-Ortiz, EVIDENT 3 Investigators

Abstract

Background: Multicomponent mobile health approaches can improve lifestyle intervention results, although little is known about their long-term effectiveness.

Objective: This study aims to evaluate the long-term effectiveness (12 months) of a multicomponent mobile health intervention-combining a smartphone app, an activity tracker wristband, and brief counseling, compared with a brief counseling group only-on weight loss and improving body composition, physical activity, and caloric intake in Spanish sedentary adults with overweight or obesity.

Methods: We conducted a randomized controlled, multicenter clinical trial (Evident 3). A total of 650 participants were recruited from 5 primary care centers, with 318 participants in the intervention group (IG) and 332 in the control group (CG). All participants were briefly counseled about a healthy diet and physical activity at the baseline visit. For the 3-month intervention period, the IG received training to use the app to promote healthy lifestyles and the smart band (Mi Band 2, Xiaomi). All measurements were performed at baseline and at 3 and 12 months. Physical activity was measured using the International Physical Activity Questionnaire-Short Form. Nutritional habits were assessed using the Food Frequency Questionnaire and Adherence to Mediterranean diet questionnaire.

Results: Of the 650 participants included, 563 (86.6%) completed the 3-month visit and 443 (68.2%) completed the 12-month visit. After 12 months, the IG showed net differences in weight (-0.26, 95% CI -1.21 to 0.70 kg; P=.02), BMI (-0.06, 95% CI -0.41 to 0.28 points; P=.01), waist-height ratio (-0.25, 95% CI -0.94 to 0.44; P=.03), body adiposity index (-0.33, 95% CI -0.77 to 0.11; P=.03), waist circumference (-0.48, 95% CI -1.62 to 0.66 cm, P=.04) and hip circumference (-0.69, 95% CI -1.62 to 0.25 cm; P=.03). Both groups lowered daily caloric intake and increased adherence to the Mediterranean diet, with no differences between the groups. The IG increased light physical activity time (32.6, 95% CI -30.3 to 95.04 min/week; P=.02) compared with the CG. Analyses by subgroup showed changes in body composition variables in women, people aged >50 years, and married people.

Conclusions: The low-intensity intervention of the Evident 3 study showed, in the IG, benefits in weight loss, some body composition variables, and time spent in light physical activity compared with the CG at 3 months, but once the devices were collected, the downward trend was not maintained at the 12-month follow-up. No differences in nutritional outcomes were observed between the groups.

Trial registration: ClinicalTrials.gov NCT03175614; https://ichgcp.net/clinical-trials-registry/NCT03175614.

International registered report identifier (irrid): RR2-10.1097/MD.0000000000009633.

Keywords: eHealth; exercise; mobile app; mobile phone; obesity; telemedicine; weight control.

Conflict of interest statement

Conflicts of Interest: None declared.

©Cristina Lugones-Sanchez, Jose I Recio-Rodriguez, Cristina Agudo-Conde, Irene Repiso-Gento, Esther G Adalia, José Ignacio Ramirez-Manent, Maria Antonia Sanchez-Calavera, Emiliano Rodriguez-Sanchez, Manuel A Gomez-Marcos, Luis Garcia-Ortiz, EVIDENT 3 Investigators. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 01.02.2022.

Figures

Figure 1
Figure 1
Flowchart of the Evident 3 study.
Figure 2
Figure 2
Evident 3 app screenshots.
Figure 3
Figure 3
Evolution of weight, BMI, and other anthropometrics parameters from baseline to 3 and 12 months comparing the intervention and control group. P value between groups was adjusted by age and sex: weight, P=.02; waist circumference, P=.04; hip circumference, P=.03; BMI, P=.01; waist–height ratio, P=.03; and body adiposity index, P=.03.

References

    1. Xu H, Cupples LA, Stokes A, Liu C. Association of obesity with mortality over 24 years of weight history: findings from the Framingham heart study. JAMA Netw Open. 2018 Nov 02;1(7):e184587. doi: 10.1001/jamanetworkopen.2018.4587. 2714501
    1. Martinson BC, O'Connor PJ, Pronk NP. Physical inactivity and short-term all-cause mortality in adults with chronic disease. Arch Intern Med. 2001 May 14;161(9):1173–80. doi: 10.1001/archinte.161.9.1173.ioi00408
    1. Stenholm S, Head J, Kivimäki M, Kawachi I, Aalto V, Zins M, Goldberg M, Zaninotto P, Magnuson Hanson L, Westerlund H, Vahtera J. Smoking, physical inactivity and obesity as predictors of healthy and disease-free life expectancy between ages 50 and 75: a multicohort study. Int J Epidemiol. 2016 Aug;45(4):1260–70. doi: 10.1093/ije/dyw126. dyw126
    1. Lavie CJ, McAuley PA, Church TS, Milani RV, Blair SN. Obesity and cardiovascular diseases: implications regarding fitness, fatness, and severity in the obesity paradox. J Am Coll Cardiol. 2014 Apr 15;63(14):1345–54. doi: 10.1016/j.jacc.2014.01.022. S0735-1097(14)00334-9
    1. Withrow D, Alter D. The economic burden of obesity worldwide: a systematic review of the direct costs of obesity. Obes Rev. 2011 Feb;12(2):131–41. doi: 10.1111/j.1467-789X.2009.00712.x.OBR712
    1. Acosta A, Streett S, Kroh MD, Cheskin LJ, Saunders KH, Kurian M, Schofield M, Barlow SE, Aronne L. White Paper AGA: POWER - Practice guide on obesity and weight management, education, and resources. Clin Gastroenterol Hepatol. 2017 May;15(5):631–649. doi: 10.1016/j.cgh.2016.10.023.S1542-3565(16)30988-0
    1. Baillot A, Romain A, Boisvert-Vigneault K, Audet M, Baillargeon J, Dionne I, Valiquette L, Chakra C, Avignon A, Langlois M-F. Effects of lifestyle interventions that include a physical activity component in class II and III obese individuals: a systematic review and meta-analysis. PLoS One. 2015 Apr 1;10(4):e0119017. doi: 10.1371/journal.pone.0119017. PONE-D-14-44600
    1. Hassan Y, Head V, Jacob D, Bachmann M, Diu S, Ford J. Lifestyle interventions for weight loss in adults with severe obesity: a systematic review. Clin Obes. 2016 Dec;6(6):395–403. doi: 10.1111/cob.12161.
    1. WHO Guideline: Recommendations on Digital Interventions for Health System Strengthening. Geneva: World Health Organization; 2018.
    1. Agnihothri S, Cui L, Delasay M, Rajan B. The value of mHealth for managing chronic conditions. Health Care Manag Sci. 2020 Jun;23(2):185–202. doi: 10.1007/s10729-018-9458-2.10.1007/s10729-018-9458-2
    1. Whitehead L, Seaton P. The effectiveness of self-management mobile phone and tablet apps in long-term condition management: a systematic review. J Med Internet Res. 2016 May 16;18(5):e97. doi: 10.2196/jmir.4883. v18i5e97
    1. Bhardwaj NN, Wodajo B, Gochipathala K, Paul DP, Coustasse A. Can mHealth revolutionize the way we manage adult obesity? Perspect Health Inf Manag. 2017;14(Spring):1a.
    1. Wang Y, Min J, Khuri J, Xue H, Xie B, A Kaminsky L, J Cheskin L. Effectiveness of mobile health interventions on diabetes and obesity treatment and management: systematic review of systematic reviews. JMIR Mhealth Uhealth. 2020 Apr 28;8(4):e15400. doi: 10.2196/15400. v8i4e15400
    1. Cavero-Redondo I, Martinez-Vizcaino V, Fernandez-Rodriguez R, Saz-Lara A, Pascual-Morena C, Álvarez-Bueno C. Effect of behavioral weight management interventions using lifestyle mHealth self-monitoring on weight loss: a systematic review and meta-analysis. Nutrients. 2020 Jul 03;12(7):1977. doi: 10.3390/nu12071977. nu12071977
    1. Hutchesson MJ, Rollo ME, Krukowski R, Ells L, Harvey J, Morgan PJ, Callister R, Plotnikoff R, Collins CE. eHealth interventions for the prevention and treatment of overweight and obesity in adults: a systematic review with meta-analysis. Obes Rev. 2015 May;16(5):376–92. doi: 10.1111/obr.12268.
    1. Romeo A, Edney S, Plotnikoff R, Curtis R, Ryan J, Sanders I, Crozier A, Maher C. Can smartphone apps increase physical activity? Systematic review and meta-analysis. J Med Internet Res. 2019 Mar 19;21(3):e12053. doi: 10.2196/12053. v21i3e12053
    1. Richardson CR, Newton TL, Abraham JJ, Sen A, Jimbo M, Swartz AM. A meta-analysis of pedometer-based walking interventions and weight loss. Ann Fam Med. 2008;6(1):69–77. doi: 10.1370/afm.761. 6/1/69
    1. Chiauzzi E, Rodarte C, DasMahapatra P. Patient-centered activity monitoring in the self-management of chronic health conditions. BMC Med. 2015 Apr 09;13:77. doi: 10.1186/s12916-015-0319-2. 10.1186/s12916-015-0319-2
    1. Fuller D, Colwell E, Low J, Orychock K, Tobin MA, Simango B, Buote R, Van Heerden D, Luan H, Cullen K, Slade L, Taylor NG. Reliability and validity of commercially available wearable devices for measuring steps, energy expenditure, and heart rate: systematic review. JMIR Mhealth Uhealth. 2020 Sep 08;8(9):e18694. doi: 10.2196/18694. v8i9e18694
    1. Kirk MA, Amiri M, Pirbaglou M, Ritvo P. Wearable technology and physical activity behavior change in adults with chronic cardiometabolic disease: a systematic review and meta-analysis. Am J Health Promot. 2019 Jun;33(5):778–91. doi: 10.1177/0890117118816278.
    1. Brickwood K, Watson G, O'Brien J, Williams AD. Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis. JMIR Mhealth Uhealth. 2019 Apr 12;7(4):e11819. doi: 10.2196/11819. v7i4e11819
    1. Wang JB, Cadmus-Bertram LA, Natarajan L, White MM, Madanat H, Nichols JF, Ayala GX, Pierce JP. Wearable sensor/device (Fitbit One) and SMS text-messaging prompts to increase physical activity in overweight and obese adults: a randomized controlled trial. Telemed J E Health. 2015 Oct;21(10):782–92. doi: 10.1089/tmj.2014.0176.
    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. Spring B, Pellegrini C, McFadden HG, Pfammatter AF, Stump TK, Siddique J, King AC, Hedeker D. Multicomponent mHealth intervention for large, sustained change in multiple diet and activity risk behaviors: the make better choices 2 randomized controlled trial. J Med Internet Res. 2018 Jun 19;20(6):e10528. doi: 10.2196/10528. v20i6e10528
    1. Duncan M, Fenton S, Brown W, Collins C, Glozier N, Kolt G, Holliday E, Morgan P, Murawski B, Plotnikoff R, Rayward A, Stamatakis E, Vandelanotte C, Burrows T. Efficacy of a multi-component m-health weight-loss intervention in overweight and obese adults: a randomised controlled trial. Int J Environ Res Public Health. 2020 Aug 26;17(17):6200. doi: 10.3390/ijerph17176200. ijerph17176200
    1. Patel ML, Wakayama LN, Bennett GG. Self-monitoring via digital health in weight loss interventions: a systematic review among adults with overweight or obesity. Obesity (Silver Spring) 2021 Mar;29(3):478–99. doi: 10.1002/oby.23088.
    1. Wang Y, Xue H, Huang Y, Huang L, Zhang D. A systematic review of application and effectiveness of mHealth interventions for obesity and diabetes treatment and self-management. Adv Nutr. 2017 May;8(3):449–62. doi: 10.3945/an.116.014100. 8/3/449
    1. Fawcett E, Van Velthoven MH, Meinert E. Long-term weight management using wearable technology in overweight and obese adults: systematic review. JMIR Mhealth Uhealth. 2020 Mar 10;8(3):e13461. doi: 10.2196/13461. v8i3e13461
    1. Jakicic JM, Davis KK, Rogers RJ, King WC, Marcus MD, Helsel D, Rickman AD, Wahed AS, Belle SH. Effect of wearable technology combined with a lifestyle intervention on long-term weight loss: the IDEA randomized clinical trial. JAMA. 2016 Sep 20;316(11):1161–71. doi: 10.1001/jama.2016.12858. 2553448
    1. Recio-Rodríguez JI, Martín-Cantera C, González-Viejo N, Gómez-Arranz A, Arietaleanizbeascoa MS, Schmolling-Guinovart Y, Maderuelo-Fernandez JA, Pérez-Arechaederra D, Rodriguez-Sanchez E, Gómez-Marcos MA, García-Ortiz L, EVIDENT Group Effectiveness of a smartphone application for improving healthy lifestyles, a randomized clinical trial (EVIDENT II): study protocol. BMC Public Health. 2014 Mar 15;14:254. doi: 10.1186/1471-2458-14-254. 1471-2458-14-254
    1. Lugones-Sanchez C, Sanchez-Calavera MA, Repiso-Gento I, Adalia EG, Ramirez-Manent JI, Agudo-Conde C, Rodriguez-Sanchez E, Gomez-Marcos MA, Recio-Rodriguez JI, Garcia-Ortiz L, EVIDENT 3 Investigators Effectiveness of an mHealth intervention combining a smartphone app and smart band on body composition in an overweight and obese population: randomized controlled trial (EVIDENT 3 study) JMIR Mhealth Uhealth. 2020 Nov 26;8(11):e21771. doi: 10.2196/21771. v8i11e21771
    1. Recio-Rodriguez JI, Gómez-Marcos MA, Agudo-Conde C, Ramirez I, Gonzalez-Viejo N, Gomez-Arranz A, Salcedo-Aguilar F, Rodriguez-Sanchez E, Alonso-Domínguez R, Sánchez-Aguadero N, Gonzalez-Sanchez J, Garcia-Ortiz L, EVIDENT 3 investigators EVIDENT 3 Study: a randomized, controlled clinical trial to reduce inactivity and caloric intake in sedentary and overweight or obese people using a smartphone application: study protocol. Medicine (Baltimore) 2018 Jan;97(2):e9633. doi: 10.1097/MD.0000000000009633. doi: 10.1097/MD.0000000000009633.00005792-201801120-00054
    1. Puig-Ribera A, Martín-Cantera C, Puigdomenech E, Real J, Romaguera M, Magdalena-Belio J, Recio-Rodríguez JI, Rodriguez-Martin B, Arietaleanizbeaskoa M, Repiso-Gento I, Garcia-Ortiz L, EVIDENT Group Screening physical activity in family practice: validity of the Spanish version of a brief physical activity questionnaire. PLoS One. 2015;10(9):e0136870. doi: 10.1371/journal.pone.0136870. PONE-D-15-04103
    1. Voils CI, Olsen MK, Gierisch JM, McVay MA, Grubber JM, Gaillard L, Bolton J, Maciejewski ML, Strawbridge E, Yancy WS. Maintenance of weight loss after initiation of nutrition training: a randomized trial. Ann Intern Med. 2017 Apr 04;166(7):463–71. doi: 10.7326/M16-2160. 2605026
    1. Jensen MD, Ryan DH, Apovian CM, Ard JD, Comuzzie AG, Donato KA, Hu FB, Hubbard VS, Jakicic JM, Kushner RF, Loria CM, Millen BE, Nonas CA, Pi-Sunyer FX, Stevens J, Stevens VJ, Wadden TA, Wolfe BM, Yanovski SZ, Jordan HS, Kendall KA, Lux LJ, Mentor-Marcel R, Morgan LC, Trisolini MG, Wnek J, Anderson JL, Halperin JL, Albert NM, Bozkurt B, Brindis RG, Curtis LH, DeMets D, Hochman JS, Kovacs RJ, Ohman EM, Pressler SJ, Sellke FW, Shen W, Smith SC, Tomaselli GF, American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Obesity Society 2013 AHA/ACC/TOS guideline for the management of overweight and obesity in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and The Obesity Society. Circulation. 2014 Jun 24;129(25 Suppl 2):S102–38. doi: 10.1161/.
    1. Santiago Pérez M, Hervada Vidal X, Naveira Barbeito G, Silva Lc, Fariñas H, Vázquez E, Bacallao J, Mújica O. El programa epidat: usos y perspectivas. Rev Panam Salud Publica. 2010 Jan;27(1):80–2. doi: 10.1590/S1020-49892010000100012.
    1. Salas-Salvadó J, Rubio MA, Barbany M, Moreno B, Grupo Colaborativo de la SEEDO [SEEDO 2007 Consensus for the evaluation of overweight and obesity and the establishment of therapeutic intervention criteria] Med Clin (Barc) 2007 Feb 10;128(5):184–96. doi: 10.1016/s0025-7753(07)72531-9.S0025-7753(07)72531-9
    1. Krakauer NY, Krakauer JC. A new body shape index predicts mortality hazard independently of body mass index. PLoS One. 2012;7(7):e39504. doi: 10.1371/journal.pone.0039504. PONE-D-12-02324
    1. Thomas D, Bredlau C, Bosy-Westphal A, Mueller M, Shen W, Gallagher D, Maeda Y, McDougall A, Peterson C, Ravussin E, Heymsfield S. Relationships between body roundness with body fat and visceral adipose tissue emerging from a new geometrical model. Obesity (Silver Spring) 2013 Nov;21(11):2264–71. doi: 10.1002/oby.20408. doi: 10.1002/oby.20408.
    1. Román Viñas B, Ribas Barba L, Ngo J, Serra Majem L. [Validity of the international physical activity questionnaire in the Catalan population (Spain)] Gac Sanit. 2013;27(3):254–7. doi: 10.1016/j.gaceta.2012.05.013. S0213-9111(12)00265-8
    1. Jetté M, Sidney K, Blümchen G. Metabolic equivalents (METS) in exercise testing, exercise prescription, and evaluation of functional capacity. Clin Cardiol. 1990 Aug;13(8):555–65. doi: 10.1002/clc.4960130809.
    1. Fernández-Ballart JD, Piñol JL, Zazpe I, Corella D, Carrasco P, Toledo E, Perez-Bauer M, Martínez-González MA, Salas-Salvadó J, Martín-Moreno JM. Relative validity of a semi-quantitative food-frequency questionnaire in an elderly Mediterranean population of Spain. Br J Nutr. 2010 Jun;103(12):1808–16. doi: 10.1017/S0007114509993837.S0007114509993837
    1. Schröder H, Fitó M, Estruch R, Martínez-González MA, Corella D, Salas-Salvadó J, Lamuela-Raventós R, Ros E, Salaverría I, Fiol M, Lapetra J, Vinyoles E, Gómez-Gracia E, Lahoz C, Serra-Majem L, Pintó X, Ruiz-Gutierrez V, Covas M. A short screener is valid for assessing Mediterranean diet adherence among older Spanish men and women. J Nutr. 2011 Jun;141(6):1140–5. doi: 10.3945/jn.110.135566.jn.110.135566
    1. ESH/ESC Task Force for the Management of Arterial Hypertension 2013 Practice guidelines for the management of arterial hypertension of the European Society of Hypertension (ESH) and the European Society of Cardiology (ESC): ESH/ESC task force for the management of arterial hypertension. J Hypertens. 2013 Oct;31(10):1925–38. doi: 10.1097/HJH.0b013e328364ca4c.00004872-201310000-00002
    1. WHO MONICA Project Principal Investigators The World Health Organization MONICA Project (monitoring trends and determinants in cardiovascular disease): a major international collaboration. J Clin Epidemiol. 1988;41(2):105–14. doi: 10.1016/0895-4356(88)90084-4.0895-4356(88)90084-4
    1. Raidl M, Rich M, Lanting R, Safaii S. The healthy diabetes plate. J Am Dietetic Assoc. 2010 Sep;110(9):A15. doi: 10.1016/j.jada.2010.06.050.
    1. BEDCA. Base de datos Española de composición de alimentos. [2022-01-11].
    1. World Medical Association World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA. 2013 Nov 27;310(20):2191–4. doi: 10.1001/jama.2013.281053.1760318
    1. Greaves CJ, Sheppard KE, Abraham C, Hardeman W, Roden M, Evans PH, Schwarz P, IMAGE Study Group Systematic review of reviews of intervention components associated with increased effectiveness in dietary and physical activity interventions. BMC Public Health. 2011 Feb 18;11:119. doi: 10.1186/1471-2458-11-119. 1471-2458-11-119
    1. Thomas J, Raynor H, Bond D, Luke A, Cardoso C, Foster G, Wing R. Weight loss in Weight Watchers Online with and without an activity tracking device compared to control: a randomized trial. Obesity (Silver Spring) 2017 Jun;25(6):1014–21. doi: 10.1002/oby.21846.
    1. Kurscheid T, Redaélli M, Heinen A, Hahmann P, Behle K, Froböse I. [App-controlled feedback devices can support sustainability of weight loss. Multicentre QUANT-study shows additional weight loss and gain of QoL via multiple feedback-devices in OPTIFAST®52-program] Z Psychosom Med Psychother. 2019 Sep;65(3):224–38. doi: 10.13109/zptm.2019.65.3.224.
    1. Painter SL, Ahmed R, Hill JO, Kushner RF, Lindquist R, Brunning S, Margulies A. What matters in weight loss? An in-depth analysis of self-monitoring. J Med Internet Res. 2017 May 12;19(5):e160. doi: 10.2196/jmir.7457. v19i5e160
    1. Harvey J, Krukowski R, Priest J, West D. Log often, lose more: electronic dietary self-monitoring for weight loss. Obesity (Silver Spring) 2019 Mar;27(3):380–4. doi: 10.1002/oby.22382.
    1. Waters L, George AS, Chey T, Bauman A. Weight change in control group participants in behavioural weight loss interventions: a systematic review and meta-regression study. BMC Med Res Methodol. 2012 Aug 08;12(1):120. doi: 10.1186/1471-2288-12-120. 1471-2288-12-120
    1. Füzéki E, Engeroff T, Banzer W. Health benefits of light-intensity physical activity: a systematic review of accelerometer data of the national health and nutrition examination survey (NHANES) Sports Med. 2017 Sep;47(9):1769–93. doi: 10.1007/s40279-017-0724-0.10.1007/s40279-017-0724-0
    1. Swindell N, Rees P, Fogelholm M, Drummen M, MacDonald I, Martinez JA, Navas-Carretero S, Handjieva-Darlenska T, Boyadjieva N, Bogdanov G, Poppitt SD, Gant N, Silvestre MP, Brand-Miller J, Schlicht W, Muirhead R, Brodie S, Tikkanen H, Jalo E, Westerterp-Plantenga M, Adam T, Vestentoft PS, Larsen TM, Raben A, Stratton G. Compositional analysis of the associations between 24-h movement behaviours and cardio-metabolic risk factors in overweight and obese adults with pre-diabetes from the PREVIEW study: cross-sectional baseline analysis. Int J Behav Nutr Phys Act. 2020 Mar 04;17(1):29. doi: 10.1186/s12966-020-00936-5. 10.1186/s12966-020-00936-5
    1. Cadmus-Bertram LA, Marcus BH, Patterson RE, Parker BA, Morey BL. Randomized trial of a Fitbit-based physical activity intervention for women. Am J Prev Med. 2015 Sep;49(3):414–8. doi: 10.1016/j.amepre.2015.01.020. S0749-3797(15)00044-6
    1. Solbrig L, Jones R, Kavanagh D, May J, Parkin T, Andrade J. People trying to lose weight dislike calorie counting apps and want motivational support to help them achieve their goals. Internet Interv. 2017 Mar;7:23–31. doi: 10.1016/j.invent.2016.12.003. S2214-7829(16)30039-2
    1. Hu EA, Nguyen V, Langheier J, Shurney D. Weight reduction through a digital nutrition and food purchasing platform among users with obesity: longitudinal study. J Med Internet Res. 2020 Sep 02;22(9):e19634. doi: 10.2196/19634. v22i9e19634
    1. Pagoto S, Schneider K, Oleski J, Luciani J, Bodenlos J, Whited M. Male inclusion in randomized controlled trials of lifestyle weight loss interventions. Obesity (Silver Spring) 2012 Jun;20(6):1234–9. doi: 10.1038/oby.2011.140. doi: 10.1038/oby.2011.140.oby2011140
    1. French SA, Jeffery RW, Wing RR. Sex differences among participants in a weight-control program. Addict Behav. 1994;19(2):147–58. doi: 10.1016/0306-4603(94)90039-6.0306-4603(94)90039-6
    1. Guertler D, Vandelanotte C, Kirwan M, Duncan MJ. Engagement and nonusage attrition with a free physical activity promotion program: the case of 10,000 steps Australia. J Med Internet Res. 2015 Jul 15;17(7):e176. doi: 10.2196/jmir.4339. v17i7e176
    1. Cheatham SW, Stull KR, Fantigrassi M, Motel I. The efficacy of wearable activity tracking technology as part of a weight loss program: a systematic review. J Sports Med Phys Fitness. 2018 Apr;58(4):534–48. doi: 10.23736/S0022-4707.17.07437-0.S0022-4707.17.07437-0
    1. Elavsky S, Smahel D, Machackova H. Who are mobile app users from healthy lifestyle websites? Analysis of patterns of app use and user characteristics. Transl Behav Med. 2017 Dec;7(4):891–901. doi: 10.1007/s13142-017-0525-x. 10.1007/s13142-017-0525-x
    1. Moroshko I, Brennan L, O'Brien P. Predictors of dropout in weight loss interventions: a systematic review of the literature. Obes Rev. 2011 Nov;12(11):912–34. doi: 10.1111/j.1467-789X.2011.00915.x.
    1. Kozak AT, Buscemi J, Hawkins MA, Wang ML, Breland JY, Ross KM, Kommu A. Technology-based interventions for weight management: current randomized controlled trial evidence and future directions. J Behav Med. 2017 Feb;40(1):99–111. doi: 10.1007/s10865-016-9805-z. 10.1007/s10865-016-9805-z
    1. Laing BY, Mangione CM, Tseng C, Leng M, Vaisberg E, Mahida M, Bholat M, Glazier E, Morisky DE, Bell DS. Effectiveness of a smartphone application for weight loss compared with usual care in overweight primary care patients: a randomized, controlled trial. Ann Intern Med. 2014 Nov 18;161(10 Suppl):S5–12. doi: 10.7326/M13-3005. 1935738
    1. Moustgaard H, Clayton GL, Jones HE, Boutron I, Jørgensen L, Laursen DR, Olsen MF, Paludan-Müller A, Ravaud P, Savović J, Sterne JA, Higgins JP, Hróbjartsson A. Impact of blinding on estimated treatment effects in randomised clinical trials: meta-epidemiological study. BMJ. 2020 Jan 21;368:l6802. doi: 10.1136/bmj.l6802.
    1. Dumville JC, Torgerson DJ, Hewitt CE. Reporting attrition in randomised controlled trials. BMJ. 2006 Apr 22;332(7547):969–71. doi: 10.1136/bmj.332.7547.969. 332/7547/969

Source: PubMed

3
Abonnieren