The impact of different electronic health technologies on weight loss outcomes in overweight and simple obesity populations: a systematic review_Chinese Journal of Evidence-Based Medicine

Authors：

LI Xiaofei ¹ , SHEN Yufei ² , CHEN Tianxiang ³ , WANG Huan ⁴ , BAI Yinchuan ⁴ , SONG Yuting ⁵ ,  GONG Bo ¹

1. Shanghai University of Sport, Shanghai 200082, P. R. China;
2. National Sports Intelligent Sports Technology Innovation Centre (Beijing), Beijing 100000, P. R. China;
3. Nanjing Sport Institute, Nanjing 210000, P. R. China;
4. China Institute of Sport Science, Beijing 100000, P. R. China;
5. Qingdao University, Qingdao 266000, P. R. China;

Corresponding author：

GONG Bo, Email: gbok2001@sina.com

Keywords：

Overweight; Simple obesity; E-health technology; Primary outcome of weight loss

DOI：

10.7507/1672-2531.202410015

Video：

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Objective To systematically assess the impact of different electronic health technologies on weight loss outcomes in overweight and simple obesity populations. Methods The Cochrane Library, Embase, PubMed and WOS databases were electronically searched to collect randomized controlled trials (RCTs) related to the objects from inception to May 2024. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. Meta-analysis was then performed by using RevMan 5.4 and Stata 18 software. Results A total of 9 RCTs involving 2 416 patients with overweight or simple obesity were included. The meta-analysis results showed that, body weight (MD=−0.81, 95%CI −1.1 to −0.52, P<0.001), BMI (MD=−0.63, 95%CI −0.89 to −0.37, P<0.001), waist circumference (MD=−1.06, 95%CI −1.70 to −0.42, P<0.001) and energy intake (SMD=−0.44, 95%CI −0.75 to −0.13, P=0.005) in the e-health technology group were significantly improved compared with the control group. But there was no statistically significant difference in physical activity between two groups. Conclusion The available evidence suggests that e-health technology is an effective tool for weight loss. Due to the limited quality and quantity of the included studies, more high quality studies are needed to verify the above conclusion.

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8.	Wing RR, Phelan S. Long-term weight loss maintenance. Am J Clin Nutr, 2005, 82(1 Suppl): 222S-225S.
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12.	van Heerden A, Tomlinson M, Swartz L. Point of care in your pocket: a research agenda for the field of m-health. Bull World Health Organ, 2012, 90(5): 393-394.
13.	Cebrick-Grossman JA, Fetherman DL. A workplace physical activity intervention and a smartphone app for overweight and obese sedentary women. Workplace Health Saf, 2024, 72(10): 431-438.
14.	Li SJ, Zhou Y, Ma HM, et al. Effects of mobile applications on weight-related, behavior and metabolic outcomes for adults with overweight and obesity: a systematic review and meta-analysis. Stud Health Technol Inform, 2024, 315: 386-391.
15.	Metzendorf MI, Wieland LS, Richter B. Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity. Cochrane Database Syst Rev, 2024, 2(2): CD013591.
16.	Kodama S, Saito K, Tanaka S, et al. Effect of web-based lifestyle modification on weight control: a meta-analysis. Int J Obes (Lond), 2012, 36(5): 675-685.
17.	Eng TR. The e-health landscape: a terrain map of emerging information and communication technologies in health and health care. 2001.
18.	Jakicic JM, Davis KK, Rogers RJ, et al. Effect of wearable technology combined with a lifestyle intervention on long-term weight loss: the IDEA randomized clinical trial. JAMA, 2016, 316(11): 1161-1171.
19.	Pradal-Cano L, Lozano-Ruiz C, Pereyra-Rodríguez JJ, et al. Using mobile applications to increase physical activity: a systematic review. Int J Environ Res Public Health, 2020, 17(21): 8238.
20.	Woodley S, Chapple CM, Baldwin JN, et a1. Persuasive technology and behaviour change in parent-focused ehealth interventions supporting child health: a scoping review protocol. 2019.
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24.	翁鸿, 李胜, 曾宪涛, 等. 试验序贯分析软件在Meta分析中的应用. 中国循证医学杂志, 2016, 16(5): 604-611.
25.	Shuger SL, Barry VW, Sui X, et al. Electronic feedback in a diet- and physical activity-based lifestyle intervention for weight loss: a randomized controlled trial. Int J Behav Nutr Phys Act, 2011, 8: 41.
26.	Duncan MJ, Fenton S, Brown WJ, et al. 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, 17(17): 6200.
27.	Lugones-Sanchez C, Sanchez-Calavera MA, Repiso-Gento I, et al. 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, 8(11): e21771.
28.	Monroe CM, Geraci M, Larsen CA, et al. Feasibility and efficacy of a novel technology-based approach to harness social networks for weight loss: the NETworks pilot randomized controlled trial. Obes Sci Pract, 2019, 5(4): 354-365.
29.	Beleigoli A, Andrade AQ, Diniz MF, et al. Personalized web-based weight loss behavior change program with and without dietitian online coaching for adults with overweight and obesity: randomized controlled trial. J Med Internet Res, 2020, 22(11): e17494.
30.	Carter MC, Burley VJ, Nykjaer C, et al. Adherence to a smartphone application for weight loss compared to website and paper diary: pilot randomized controlled trial. J Med Internet Res, 2013, 15(4): e32.
31.	Huber JM, Shapiro JS, Wieland ML, et al. Telecoaching plus a portion control plate for weight care management: a randomized trial. Trials, 2015, 16: 323.
32.	Beatty JA, Greene GW, Blissmer BJ, et al. Effects of a novel bites, steps and eating rate-focused weight loss randomised controlled trial intervention on body weight and eating behaviours. J Hum Nutr Diet, 2020, 33(3): 330-341.
33.	Rogers RJ, Lang W, Barone Gibbs B, et al. Applying a technology-based system for weight loss in adults with obesity. Obes Sci Pract, 2016, 2(1): 3-12.
34.	邵明, 陈雨婷, 许伟, 等. 试验序贯分析原理及其在Meta分析中的应用. 中国卫生统计, 2022, 39(1): 47-51.
35.	Khaylis A, Yiaslas T, Bergstrom J, et al. A review of efficacious technology-based weight-loss interventions: five key components. Telemed J E Health, 2010, 16(9): 931-938.

1. Bravo-Saquicela DM, Sabag A, Rezende LFM, et al. Has the prevalence of childhood obesity in spain plateaued. A systematic review and meta-analysis. Int J Environ Res Public Health, 2022, 19(9): 5240.
2. World_Obesity_Atlas_2023_RePort.
3. Hawkins LK, Burns L, Swancutt D, et al. Which components of behavioral weight management programs are essential for weight loss in people living with obesity. A rapid review of systematic reviews. Obes Rev, 2024, 25(10): e13798.
4. Irvin L, Madden LA, Marshall P, et al. Digital health solutions for weight loss and obesity: a narrative review. Nutrients, 2023, 15(8): 1858.
5. Pearson ES. Goal setting as a health behavior change strategy in overweight and obese adults: a systematic literature review examining intervention components. Patient Educ Couns, 2012, 87(1): 32-42.
6. Jensen MD, Ryan DH, Apovian CM, et al. 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, 129(25 Suppl 2): S102-S138.
7. Brownell KD, Rodin J. Medical, metabolic, and psychological effects of weight cycling. JAMA Intern Med, 1994, 154(12): 1325-1330.
8. Wing RR, Phelan S. Long-term weight loss maintenance. Am J Clin Nutr, 2005, 82(1 Suppl): 222S-225S.
9. McGuire MT, Wing RR, Klem ML, et al. What predicts weight regain in a group of successful weight losers. J Consult Clin Psychol, 1999, 67(2): 177-185.
10. Patel ML, Wakayama LN, Bass MB, et al. Motivational interviewing in eHealth and telehealth interventions for weight loss: a systematic review. Prev Med, 2019, 126: 105738.
11. 姚自强, 秦宁, 石双姣, 等. 数字健康技术在高血压患者药物管理中的应用进展. 中华护理杂志, 2023, 58(11): 1403-1409.
12. van Heerden A, Tomlinson M, Swartz L. Point of care in your pocket: a research agenda for the field of m-health. Bull World Health Organ, 2012, 90(5): 393-394.
13. Cebrick-Grossman JA, Fetherman DL. A workplace physical activity intervention and a smartphone app for overweight and obese sedentary women. Workplace Health Saf, 2024, 72(10): 431-438.
14. Li SJ, Zhou Y, Ma HM, et al. Effects of mobile applications on weight-related, behavior and metabolic outcomes for adults with overweight and obesity: a systematic review and meta-analysis. Stud Health Technol Inform, 2024, 315: 386-391.
15. Metzendorf MI, Wieland LS, Richter B. Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity. Cochrane Database Syst Rev, 2024, 2(2): CD013591.
16. Kodama S, Saito K, Tanaka S, et al. Effect of web-based lifestyle modification on weight control: a meta-analysis. Int J Obes (Lond), 2012, 36(5): 675-685.
17. Eng TR. The e-health landscape: a terrain map of emerging information and communication technologies in health and health care. 2001.
18. Jakicic JM, Davis KK, Rogers RJ, et al. Effect of wearable technology combined with a lifestyle intervention on long-term weight loss: the IDEA randomized clinical trial. JAMA, 2016, 316(11): 1161-1171.
19. Pradal-Cano L, Lozano-Ruiz C, Pereyra-Rodríguez JJ, et al. Using mobile applications to increase physical activity: a systematic review. Int J Environ Res Public Health, 2020, 17(21): 8238.
20. Woodley S, Chapple CM, Baldwin JN, et a1. Persuasive technology and behaviour change in parent-focused ehealth interventions supporting child health: a scoping review protocol. 2019.
21. Luo D, Wan X, Liu J, et al. Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range. Stat Methods Med Res, 2018, 27(6): 1785-1805.
22. Wan X, Wang W, Liu J, et al. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res Methodol, 2014, 14: 135.
23. Higgins JPT, Green S. Cochrane handbook for systematic reviews of interventions. Int, Coach, Psychol, Rev, 2010.
24. 翁鸿, 李胜, 曾宪涛, 等. 试验序贯分析软件在Meta分析中的应用. 中国循证医学杂志, 2016, 16(5): 604-611.
25. Shuger SL, Barry VW, Sui X, et al. Electronic feedback in a diet- and physical activity-based lifestyle intervention for weight loss: a randomized controlled trial. Int J Behav Nutr Phys Act, 2011, 8: 41.
26. Duncan MJ, Fenton S, Brown WJ, et al. 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, 17(17): 6200.
27. Lugones-Sanchez C, Sanchez-Calavera MA, Repiso-Gento I, et al. 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, 8(11): e21771.
28. Monroe CM, Geraci M, Larsen CA, et al. Feasibility and efficacy of a novel technology-based approach to harness social networks for weight loss: the NETworks pilot randomized controlled trial. Obes Sci Pract, 2019, 5(4): 354-365.
29. Beleigoli A, Andrade AQ, Diniz MF, et al. Personalized web-based weight loss behavior change program with and without dietitian online coaching for adults with overweight and obesity: randomized controlled trial. J Med Internet Res, 2020, 22(11): e17494.
30. Carter MC, Burley VJ, Nykjaer C, et al. Adherence to a smartphone application for weight loss compared to website and paper diary: pilot randomized controlled trial. J Med Internet Res, 2013, 15(4): e32.
31. Huber JM, Shapiro JS, Wieland ML, et al. Telecoaching plus a portion control plate for weight care management: a randomized trial. Trials, 2015, 16: 323.
32. Beatty JA, Greene GW, Blissmer BJ, et al. Effects of a novel bites, steps and eating rate-focused weight loss randomised controlled trial intervention on body weight and eating behaviours. J Hum Nutr Diet, 2020, 33(3): 330-341.
33. Rogers RJ, Lang W, Barone Gibbs B, et al. Applying a technology-based system for weight loss in adults with obesity. Obes Sci Pract, 2016, 2(1): 3-12.
34. 邵明, 陈雨婷, 许伟, 等. 试验序贯分析原理及其在Meta分析中的应用. 中国卫生统计, 2022, 39(1): 47-51.
35. Khaylis A, Yiaslas T, Bergstrom J, et al. A review of efficacious technology-based weight-loss interventions: five key components. Telemed J E Health, 2010, 16(9): 931-938.

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