Objective To systematically review the efficacy of mobile healthcare in overweight or obese patients with type 2 diabetes mellitus (T2DM).
Methods PubMed, Web of Science, The Cochrane Library, Embase, SinoMed, CNKI, VIP, and WanFang Data databases were electronically searched to identify randomized controlled trials (RCTs) evaluating the effectiveness of mobile healthcare in overweight or obese T2DM patients. The search period was from January 1, 2015 to February 1, 2026. Two researchers independently screened the literature, extracted data, and assessed the risk of bias. Meta-analysis was performed using RevMan 5.4 and Stata 18.0 software.
Results A total of 10 RCTs involving 1,209 participants were included. Meta-analysis showed that, compared with the control group, the mobile healthcare intervention group exhibited significant improvements in glycated hemoglobin (HbA1c) [MD=-0.56,95%CI (-0.90, -0.23)], body mass index (BMI) [MD=-2.00,95%CI (-3.13, -0.86)], body weight [MD=-4.90,95%CI (-9.17, -0.62)], and diastolic blood pressure (DBP) [MD=-2.54,95%CI (-4.71,-0.37)] in overweight or obese patients with T2DM (P < 0.05). No statistically significant differences were found in systolic blood pressure (SBP) [MD=-7.34, 95%CI (-15.42, 0.74), P=0.07], total cholesterol (TC) [MD=-0.18, 95%CI (-0.41, 0.05), P=0.12], low-density lipoprotein (LDL) [MD=-0.20, 95%CI (-0.41, 0.01), P=0.06] and high-density lipoprotein (HDL) [MD=0.09, 95%CI (-0.05, 0.23), P=0.22].
Conclusion Mobile healthcare has demonstrated efficacy in reducing HbA1c, BMI, body weight and DBP in T2DM patients with overweight or obesity. However, the impact on SBP, TC, LDL and HDL in these patients remains to be elucidated. Further high-quality, large-sample RCTs are necessary to substantiate these findings.
1. AbelED, GloynAL, Evans-MolinaC, et al. Diabetes mellitus-progress and opportunities in the evolving epidemic[J]. Cell, 2024, 187(15): 3789-3820. doi:10.1016/j.cell.2024.06.029
2. DuncanBB, MaglianoDJ, BoykoEJ. IDF diabetes atlas 11th edition 2025: global prevalence and projections for 2050[J]. Nephrol Dial Transplant, 2025, 41(1): 7-9. doi:10.1093/ndt/gfaf177
3. XuY, LuJ, LiM, et al. Diabetes in China part 1: epidemiology and risk factors[J]. Lancet Public Health, 2024, 9(12): e1089-e1097. doi:10.1016/s2468-2667(24)00250-0
4. MichaelidouM, PappachanJM, JeeyavudeenMS. Management of diabesity: current concepts[J]. World J Diabetes, 2023, 14(4): 396-411. doi:10.4239/wjd.v14.i4.396
5. 中国营养学会肥胖防控分会, 西安交通大学全球健康研究院, 国际肥胖与代谢性疾病研究中心, 等. 2025年世界肥胖报告[J]. 西安交通大学学报(医学版), 2025, 46(2): 363-379.Obesity Prevention and Control Society of Chinese Nutrition Society, Global Health Institute of Xi'an Jiaotong University, International Center for Obesity and Metabolic Diseases Research of Xi'an Jiaotong University, et al. World Obesity Atlas 2025[J]. Journal of Xi'an Jiaotong University (Medical Sciences), 2025, 46(2): 363-379.
6. KanbourS, AgeebRA, MalikRA, et al. Impact of body weight loss on type 2 diabetes remission: a systematic review and Meta-regression analysis of randomised controlled trials[J]. Lancet Diabetes Endocrinol, 2025, 13(4): 294-306. doi:10.1016/s2213-8587(24)00346-2
7. American Diabetes Association Professional Practice Committee. 8. obesity and weight management for the prevention and treatment of type 2 diabetes: standards of care in diabetes-2025[J]. Diabetes Care, 2025, 48(1 Suppl 1): S167-S180. doi:10.1136/bmjdrc-2025-005729
8. CipressoP, SerinoS, VillaniD, et al. Is your phone so smart to affect your state? An exploratory study based on psychophysiological measures[J]. Neurocomputing, 2012, 84: 23-30. doi:10.1016/j.neucom.2011.12.027
9. 中华医学会糖尿病学分会. 中国2型糖尿病防治指南(2020年版)(上)[J]. 中国实用内科杂志, 2021, 41(8): 668-695.Chinese Diabetes Society. Guidelines for the prevention and treatment of type 2 diabetes mellitus in China (2020 Edition) (Part 1)[J]. Chinese Journal of Practical Internal Medicine, 2021, 41(8): 668-695.
10. 李彩宏, 沈犁. 基于移动医疗的个案管理模式对2型糖尿病患者自我管理及血糖控制的干预效果评价[J]. 中国糖尿病杂志, 2018, 26(11): 914-918.LiCH, ShenL. Evaluation of the intervention effect of a mobile health-based case management model on self-management and blood glucose control in patients with type 2 diabetes mellitus[J]. Chinese Journal of Diabetes, 2018, 26(11): 914-918.
11. KumarR, NandhiniLP, KamalanathanS, et al. Evidence for current diagnostic criteria of diabetes mellitus[J]. World J Diabetes, 2016, 7(17): 396-405. doi:10.4239/wjd.v7.i17.396
12. CumpstonM,LiTJ,PageMJ,et al. Updated guidance for trusted systematic reviews:a new edition of the Cochrane Handbook for Systematic Reviews of Interventions[J]. Cochrane Database Syst Rev,2019, 10(10): ED000142.
13. CuiJ, LiuQ, HuangL, et al. Digital outdoor exercise program for obese patients with type 2 diabetes mellitus: a non-inferiority randomized controlled trial[J]. Front Endocrinol(Lausanne), 2025, 16:1654129. doi:10.3389/fendo.2025.1654129
14. YinW, LiuY, HuH, et al. Telemedicine management of type 2 diabetes mellitus in obese and overweight young and middle-aged patients during COVID-19 outbreak: a single-center, prospective, randomized control study[J]. PLoS One, 2022, 17(9): e0275251. doi:10.1371/journal.pone.0275251
15. HöchsmannC, MüllerO, AmbühlM, et al.Novel smartphone game improves physical activity behavior in type 2 diabetes[J]. Am J Prev Med, 2019, 57(1): 41-50. doi:10.1016/j.amepre.2019.02.017
16. BenderMS, CooperBA, ParkLG, et al.A feasible and efficacious mobile-phone based lifestyle intervention for Filipino Americans with type 2 diabetes: randomized controlled trial[J]. JMIR Diabetes, 2017, 2(2): e30. doi:10.2196/diabetes.8156
17. HanselB, GiralP, GambottiL,et al. A fully automated web-based program improves lifestyle habits and HbA1c in patients with type 2 diabetes and abdominal obesity: randomized trial of patient e-coaching nutritional support (The ANODE Study)[J]. J MedInternet Res, 2017, 19(11): e360. doi:10.2196/jmir.7947
18. SaslowLR, MasonAE, KimS, et al. An online intervention comparing a very low-carbohydrate ketogenic diet and lifestyle recommendations versus a plate method diet in overweight individuals with type 2 diabetes: a randomized controlled trial[J]. J MedInternet Res, 2017, 19(2): e36. doi:10.2196/jmir.5806
19. KimG, KimS, LeeYB, et al. A randomized controlled trial of an app-based intervention on physical activity and glycemic control in people with type 2 diabetes[J]. BMC Med, 2024, 22(1): 185. doi:10.1186/s12916-024-03408-w
20. HanY, YeX, LiX, et al. Comparison of an online versus conventional multidisciplinary collaborative weight loss programme in type 2 diabetes mellitus: a randomized controlled trial[J]. Int J Nurs Pract, 2023, 29(1): e13126. doi:10.1111/ijn.13126
21. LimSL, OngKW, JohalJ, et al. Effect of a smartphone app on weight change and metabolic outcomes in Asian adults with type 2 diabetes: a randomized clinical trial[J]. JAMA Netw Open, 2021, 4(6): e2112417. doi:10.1001/jamanetworkopen.2021.12417
22. KempfK, AltpeterB, BergerJ, et al. Efficacy of the telemedical lifestyle intervention program telipro in advanced stages of type 2 diabetes: a randomized controlled trial[J]. Diabetes Care, 2017, 40(7): 863-871. doi:10.2337/dc17-0303
23. 袁昌芬, 赵蕾, 许颖, 等. 空腹血糖和糖化血红蛋白早期诊断糖尿病价值的研究进展[J]. 中国糖尿病杂志, 2025, 33(7): 557-560.YuanCF, ZhaoL, XuY, et al. Research progress on the value of fasting blood glucose and glycated hemoglobin in the early diagnosis of diabetes mellitus[J]. Chinese Journal of Diabetes, 2025, 33(7): 557-560.
24. 左红, 王述进, 冯佳, 等. 血清总胆红素、糖化白蛋白、糖化血红蛋白与糖尿病血管并发症的关系[J]. 中国动脉硬化杂志, 2019, 27(9): 787-790. doi:10.3969/j.issn.1007-3949.2019.09.011ZuoH, WangSJ, FengJ, et al. Relationship between serum total bilirubin, glycated albumin, glycated hemoglobin and diabetic vascular complications[J]. Chinese Journal of Arteriosclerosis, 2019, 27(9): 787-790. doi:10.3969/j.issn.1007-3949.2019.09.011
25. LeeJY, ChanCKY, ChuaSS, et al. Telemonitoring and team-based management of glycemic control on people with type2 diabetes: a cluster-randomized controlled trial[J]. J Gen Intern Med, 2020, 35(1): 87-94. doi:10.1007/s11606-019-05316-9
26. NkhomaDE, SokoCJ, BowrinP, et al. Digital interventions self-management education for type 1 and 2 diabetes: a systematic review and Meta-analysis[J]. Comput Methods Programs Biomed, 2021, 210:106370. doi:10.1016/j.cmpb.2021.106370
27. WagnerAL, KeuschF, YanT, et al. The impact of weather on summer and winter exercise behaviors[J]. J Sport Health Sci. 2019, 8(1): 39-45. doi:10.1016/j.jshs.2016.07.007
28. 《2型糖尿病患者体重管理专家共识》专家组. 2型糖尿病患者体重管理专家共识(2024年版)[J]. 国际内分泌代谢杂志, 2024, 44(5): 359-370. doi:10.3760/cma.j.cn121383-20240514-00022Expert Group on Weight Management in Patients with Type 2 Diabetes. Expert consensus on weight management in patients with type 2 diabetes (2024 edition)[J]. International Journal of Endocrinology and Metabolism, 2024, 44(5): 359-370. doi:10.3760/cma.j.cn121383-20240514-00022
29. DuBoisKE, Delgado-DíazDC, McGrievyM, et al. The mobile lifestyle intervention for food and exercise(mLife) study: protocol of a remote behavioral weight loss randomized clinical trial for type 2 diabetes prevention[J]. Contemp Clin Trials, 2025, 148: 107735. doi:10.1016/j.cct.2024.107735
30. HallKD, KahanS. Maintenance of lost weight and long-term management of obesity[J]. Med Clin North Am, 2018, 102(1): 183-197. doi:10.1016/j.mcna.2017.08.012
31. MartinCK, GilmoreLA, ApolzanJW, et al. Smartloss: a personalized mobile health intervention for weight management and health promotion[J]. JMIR Mhealth Uhealth, 2016, 4(1): e18. doi:10.2196/mhealth.5027
32. ChakrabortyS, VermaA, GargR, et al. Cardiometabolic risk factors associated with type 2 diabetes mellitus: a mechanistic insight[J]. Clin Med Insights Endocrinol Diabetes, 2023, 16: 11795514231220780. doi:10.1177/11795514231220780
33. de OliveiraPBF, DornellesTM, GosmannNP, et al. Efficacy of telemedicine interventions for depression and anxiety in older people: a systematic review and Meta-analysis[J]. Int J Geriatr Psychiatry, 2023, 38(5): e5920. doi:10.1002/gps.5920