Telemedical coaching for weight loss in overweight employees: a three-armed randomised controlled trial

Kerstin Kempf, Martin Röhling, Stephan Martin, Michael Schneider, Kerstin Kempf, Martin Röhling, Stephan Martin, Michael Schneider

Abstract

Objectives: We examined the effect of a telemedical coaching (TMC) programme accompanied with or without telemonitoring on weight loss in an occupational healthcare setting with a three-armed randomised controlled trial (NCT01837134 'Pre-results').

Methods: Overweight employees (n=104, body mass index [BMI] ≥25 kg/m2) were invited by their medical corporate department and randomised into either a TMC group (n=34) or in one of the two control groups (C1, n=34; C2, n=36). TMC and C1 were equipped with telemonitoring devices (scales and pedometers) at baseline, and C2 after 6 months. Telemonitoring devices automatically transferred data into a personalised online portal. TMC was coached with weekly care calls in months 3-6 and monthly calls from months 7 to 12. C2 had a short coaching phase in months 6-9. C1 received no further support. After the 12-month intervention phase, participants could take advantage of further company health promotion offers. Follow-up data were determined after 12 months of intervention and per-protocol (PP) and intention-to-treat (ITT) analyses were performed. Weight change was followed up after 36 months. Estimated treatment difference (ETD) was calculated for weight reduction.

Results: ETD from TMC to C1 (-3.6 kg 95% CI -7.40 to -0.1, p=0.047) and to C2 (-4.2 kg [-7.90 to -0.5], p=0.026) was significantly different at the 12 months follow-up in the PP-analysis, but lost significance in the ITT analysis. All groups reduced weight after 12 months (-3.3 to -8.4 kg [5.5-10.3 kg], all p<0.01) and sustained it during the 36 months follow-up (-4.8 to -7.8 kg [5.6-12.8 kg], all p<0.01). ETD analyses revealed no difference between all groups neither in the PP nor in the ITT analysis at the 3 years follow-up. All groups reduced BMI, systolic and diastolic blood pressure and improved eating behaviour in the PP or ITT analyses.

Conclusions: TMC and/or telemonitoring support long-term weight reduction in overweight employees. The combination of both interventions points towards an additional effect.

Trial registration number: NCT01837134.

Keywords: preventive medicine; public health; telemedicine.

Conflict of interest statement

Competing interests: KK and SM received research support from Boehringer Ingelheim International GmbH & Co. KG. MS is an employee of Boehringer Ingelheim Pharma GmbH & Co. KG. SM is a member of the Boehringer Ingelheim Pharma GmbH & Co. KG advisory board. No other potential conflicts of interest relevant to this article are existent. The funders had no role in study design, data collection, data analysis, data interpretation, or writing of the manuscript.

© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Figures

Figure 1
Figure 1
Flow diagram. TMC, telemedical coaching.
Figure 2
Figure 2
Flowchart for the design of the study. At baseline, the TMC-group and C1-group were equipped with telemonitoring devices (scales and pedometers), and the C2-group 6 months later as well. TMC-group was coached with weekly care calls in months 3–6 and monthly calls from month 7 to 12. C2-group had only a short coaching phase with care calls in months 6–9. TMC, telemedical coaching.
Figure 3
Figure 3
Reduction of body weight. (A) Differences in weight changes between groups were analysed using χ2 test (*p<0.05). (B) Differences of weight loss between all groups were analysed using Kruskal-Wallis test with Dunn’s multiple comparisons test (*p<0.05; **p<0.01; ****p<0.0001). TM, telemedical; TMC, telemedical coaching.

References

    1. Knowler WC, Fowler SE, Hamman RF, et al. . 10-year follow-up of diabetes incidence and weight loss in the diabetes prevention program outcomes study. Lancet 2009;374:1677–86. 10.1016/S0140-6736(09)61457-4
    1. Lehnert T, Stuhldreher N, Streltchenia P, et al. . Sick leave days and costs associated with overweight and obesity in Germany. J Occup Environ Med 2014;56:20–7. 10.1097/JOM.0000000000000065
    1. American Diabetes Association. Executive summary: Standards of medical care in diabetes--2014. Diabetes Care 2014;37 Suppl 1(Suppl 1):S5–13. 10.2337/dc14-S005
    1. Diabetes Prevention Program Research Group. Long-term effects of lifestyle intervention or metformin on diabetes development and microvascular complications over 15-year follow-up: the Diabetes Prevention Program Outcomes Study. Lancet Diabetes Endocrinol 2015;3:866–75. 10.1016/S2213-8587(15)00291-0
    1. Lindström J, Peltonen M, Eriksson JG, et al. . Improved lifestyle and decreased diabetes risk over 13 years: long-term follow-up of the randomised Finnish Diabetes Prevention Study (DPS). Diabetologia 2013;56:284–93. 10.1007/s00125-012-2752-5
    1. Kramer MK, Molenaar DM, Arena VC, et al. . Improving employee health: evaluation of a worksite lifestyle change program to decrease risk factors for diabetes and cardiovascular disease. J Occup Environ Med 2015;57:284–91. 10.1097/JOM.0000000000000350
    1. Dallam GM, Foust CP. A comparative approach to using the diabetes prevention program to reduce diabetes risk in a worksite setting. Health Promot Pract 2013;14:199–204. 10.1177/1524839912437786
    1. Giese KK, Cook PF. Reducing obesity among employees of a manufacturing plant: translating the Diabetes Prevention Program to the workplace. Workplace Health Saf 2014;62:136–41. 10.1177/216507991406200402
    1. Webb VL, Wadden TA. Intensive Lifestyle Intervention for Obesity: Principles, Practices, and Results. Gastroenterology 2017;152:1752–64. 10.1053/j.gastro.2017.01.045
    1. O’Connor PJ, Schmittdiel JA, Pathak RD, et al. . Randomized trial of telephone outreach to improve medication adherence and metabolic control in adults with diabetes. Diabetes Care 2014;37:3317–24. 10.2337/dc14-0596
    1. Stuart KL, Wyld B, Bastiaans K, et al. . A telephone-supported cardiovascular lifestyle programme (CLIP) for lipid reduction and weight loss in general practice patients: a randomised controlled pilot trial. Public Health Nutr 2014;17:640–7. 10.1017/S1368980013000220
    1. Yardley L, Ware LJ, Smith ER, et al. . Randomised controlled feasibility trial of a web-based weight management intervention with nurse support for obese patients in primary care. Int J Behav Nutr Phys Act 2014;11:67 10.1186/1479-5868-11-67
    1. Kempf K, Altpeter B, Berger J, et al. . A Randomized Controlled Trial. Diabetes Care 2017.
    1. Kempf K, Martin S, Döhring C, et al. . The Boehringer Ingelheim employee study (Part 2): 10-year cardiovascular diseases risk estimation. Occup Med 2016;66:543–50. 10.1093/occmed/kqw084
    1. Kempf K, Martin S, Döhring C, et al. . The epidemiological Boehringer Ingelheim Employee study--part I: impact of overweight and obesity on cardiometabolic risk. J Obes 2013;2013:1–10. 10.1155/2013/159123
    1. Gandek B, Ware JE, Aaronson NK, et al. . Cross-validation of item selection and scoring for the SF-12 Health Survey in nine countries: results from the IQOLA Project. International Quality of Life Assessment. J Clin Epidemiol 1998;51:1171–8.
    1. Eckert K. Impact of physical activity and bodyweight on health-related quality of life in people with type 2 diabetes. Diabetes Metab Syndr Obes 2012;5:303–11. 10.2147/DMSO.S34835
    1. Stunkard AJ, Messick S. The three-factor eating questionnaire to measure dietary restraint, disinhibition and hunger. J Psychosom Res 1985;29:71–83. 10.1016/0022-3999(85)90010-8
    1. Kempf K, Dirk M, Kolb H, et al. . [The Da Vinci Medical-mental motivation program for supporting lifestyle changes in patients with type 2 diabetes]. Dtsch Med Wochenschr 2012;137:362–7. 10.1055/s-0031-1298888
    1. Martin S, Kempf K, Dirk M, et al. . Kognitive Verhaltenstherapie bei Typ-2-Diabetes: Ergebnisse einer Pilotstudie mit dem strukturierten Programm Da Vinci Diabetes®. Diabetologie und Stoffwechsel 2009;4:370–3. 10.1055/s-0029-1224686
    1. Temmingh H, Claassen A, van Zyl S, et al. . The evaluation of a telephonic wellness coaching intervention for weight reduction and wellness improvement in a community-based cohort of persons with serious mental illness. J Nerv Ment Dis 2013;201:977–86. 10.1097/NMD.0000000000000036
    1. Appel LJ, Clark JM, Yeh H-C, et al. . Comparative Effectiveness of Weight-Loss Interventions in Clinical Practice. N Engl J Med Overseas Ed 2011;365:1959–68. 10.1056/NEJMoa1108660
    1. Luley C, Blaik A, Götz A, et al. . Weight loss by telemonitoring of nutrition and physical activity in patients with metabolic syndrome for 1 year. J Am Coll Nutr 2014;33:363–74. 10.1080/07315724.2013.875437
    1. Venditti EM, Wylie-Rosett J, Delahanty LM, et al. . Short and long-term lifestyle coaching approaches used to address diverse participant barriers to weight loss and physical activity adherence. Int J Behav Nutr Phys Act 2014;11:16 10.1186/1479-5868-11-16
    1. American Diabetes Association. Economic costs of diabetes in the U.S. in 2012. Diabetes Care 2013;36:1033–46. 10.2337/dc12-2625
    1. Sangster J, Furber S, Allman-Farinelli M, et al. . Effectiveness of a pedometer-based telephone coaching program on weight and physical activity for people referred to a cardiac rehabilitation program: a randomized controlled trial. J Cardiopulm Rehabil Prev 2015;35:124–9. 10.1097/HCR.0000000000000082
    1. Michaelides A, Raby C, Wood M, et al. . Weight loss efficacy of a novel mobile Diabetes Prevention Program delivery platform with human coaching. BMJ Open Diabetes Res Care 2016;4:e000264 10.1136/bmjdrc-2016-000264
    1. Terschüren C, Mensing M, Mekel OC. Is telemonitoring an option against shortage of physicians in rural regions? Attitude towards telemedical devices in the North Rhine-Westphalian health survey, Germany. BMC Health Serv Res 2012;12:95 10.1186/1472-6963-12-95

Source: PubMed

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