Effect of a Nine-Month Web- and App-Based Workplace Intervention to Promote Healthy Lifestyle and Weight Loss for Employees in the Social Welfare and Health Care Sector: A Randomized Controlled Trial

Nina Charlotte Balk-Møller, Sanne Kellebjerg Poulsen, Thomas Meinert Larsen, Nina Charlotte Balk-Møller, Sanne Kellebjerg Poulsen, Thomas Meinert Larsen

Abstract

Background: General health promoting campaigns are often not targeted at the people who need them the most. Web- and app-based tools are a new way to reach, motivate, and help people with poor health status.

Objective: The aim of our study was to test a Web- and mobile app-based tool ("SoSu-life") on employees in the social welfare and health care sector in Denmark.

Methods: A randomized controlled trial was carried out as a workplace intervention. The tool was designed to help users make healthy lifestyle changes such as losing weight, exercise more, and quit smoking. A team competition between the participating workplaces took place during the first 16 weeks of the intervention. Twenty nursing homes for elderly people in 6 municipalities in Denmark participated in the study. The employees at the nursing homes were randomized either 1:1 or 2:1 on a municipality level to use the SoSu-life tool or to serve as a control group with no intervention. All participants underwent baseline measurements including body weight, waist circumference, body fat percentage, blood pressure, and blood cholesterol level and they filled in a questionnaire covering various aspects of health. The participants were measured again after 16 and 38 weeks.

Results: A total of 566 (SoSu-life: n=355, control: n=211) participants were included in the study. At 16 weeks there were 369 participants still in the study (SoSu-life: n=227, control: n=142) and 269 participants completed the 38 week intervention (SoSu-life: n=152, control: n=117). At 38 weeks, the SoSu-life group had a larger decrease in body weight (-1.01 kg, P=.03), body fat percentage (-0.8%, P=.03), and waist circumference (-1.8 cm, P=.007) compared with the control group.

Conclusions: The SoSu-life Web- and app-based tool had a modest yet beneficial effect on body weight and body fat percentage in the health care sector staff.

Trial registration: Clinicaltrials.gov NCT02438059; https://ichgcp.net/clinical-trials-registry/NCT02438059 (Archived by WebCite at http://www.webcitation.org/6i6y4p2AS).

Keywords: Internet; eHealth; health promotion; randomized controlled trial; smartphone; weight reduction programs; workplace.

Conflict of interest statement

Conflicts of Interest: PenSam Livsforsikringsselskab manages occupational pension schemes for approximately 340,000 wage-earners employed in Danish municipalities and regions, and in private organizations. Arne Astrup is cofounder and coowner of the University of Copenhagen spin-out company Mobile Fitness A/S, Denmark. The University of Copenhagen takes full responsibility for the study design, the data collection, the analysis, the interpretation of data, and the decision to submit the article for publication.

©Nina Charlotte Balk-Møller, Sanne Kellebjerg Poulsen, Thomas Meinert Larsen. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 10.04.2017.

Figures

Figure 1
Figure 1
Overview of the SoSu-life study.
Figure 2
Figure 2
Screenshot of the SoSu-life app menu.
Figure 3
Figure 3
Screenshot of the SoSu-life website.
Figure 4
Figure 4
Flow diagram of the participants.

References

    1. Bonevski B, Randell M, Paul C, Chapman K, Twyman L, Bryant J, Brozek I, Hughes C. Reaching the hard-to-reach: a systematic review of strategies for improving health and medical research with socially disadvantaged groups. BMC Med Res Methodol. 2014;14(1):42. doi: 10.1186/1471-2288-14-42. doi: 10.1186/1471-2288-14-42.
    1. Bennett G, Glasgow R. The delivery of public health interventions via the Internet: actualizing their potential. Annu Rev Public Health. 2009 Apr;30(1):273–292. doi: 10.1146/annurev.publhealth.031308.100235.
    1. World Health Organization . Obesity: Preventing and Managing the Global Epidemic. Geneva, Switzerland: World Health Organization; 2000.
    1. Christensen A, Davidsen M, Ekholm O, Hansen S, Holst M, Juel K. In: Den nationale sundhedsprofil 2010 – Hvordan har du det? 1.0 edition. Størup M, Hajlsted B, Raahauge Hvass L, editors. Copenhagen: Sundhedsstyrelsen; 2011.
    1. Holst M, Ekholm O, Juel K. Sundhedstilstanden blandt FOA medlemmer 2010 og udviklingen siden 2000. Copenhagen: Statens Institut for Folkesundhed; 2010.
    1. Wyatt SB, Winters KP, Dubbert PM. Overweight and obesity: prevalence, consequences, and causes of a growing public health problem. Am J Med Sci. 2006 Apr;331(4):166–74.
    1. Handbook of Obesity Treatment. New York: The Guilford Press; 2002. pp. 144–169.
    1. van Duijvenbode DC, Hoozemans MJ, van Poppel MN, Proper K. The relationship between overweight and obesity, and sick leave: a systematic review. Int J Obes (Lond) 2009 Aug;33(8):807–16. doi: 10.1038/ijo.2009.121.
    1. Gjesdal S, Ringdal PR, Haug K, Maeland JG. Predictors of disability pension in long-term sickness absence: results from a population-based and prospective study in Norway 1994-1999. Eur J Public Health. 2004 Dec;14(4):398–405. doi: 10.1093/eurpub/14.4.398.
    1. Burton J, World Health Organization . WHO healthy workplace framework and model: background and supporting literature and practices. Geneva: World Health Organization; 2010.
    1. Neve M, Morgan PJ, Jones PR, Collins CE. Effectiveness of web-based interventions in achieving weight loss and weight loss maintenance in overweight and obese adults: a systematic review with meta-analysis. Obes Rev. 2010 Apr;11(4):306–21. doi: 10.1111/j.1467-789X.2009.00646.x.
    1. Kodama S, Saito K, Tanaka S, Horikawa C, Fujiwara K, Hirasawa R, Yachi Y, Iida K, Shimano H, Ohashi Y, Yamada N, Sone H. Effect of Web-based lifestyle modification on weight control: a meta-analysis. Int J Obes (Lond) 2012 May;36(5):675–85. doi: 10.1038/ijo.2011.121.
    1. Wieland LS, Falzon L, Sciamanna CN, Trudeau KJ, Brodney S, Schwartz JE, Davidson KW. Interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people. Cochrane Database Syst Rev. 2012 Aug 15;(8):CD007675. doi: 10.1002/14651858.CD007675.pub2.
    1. Rongen A, Robroek SJ, van Lenthe FJ, Burdorf A. Workplace health promotion: a meta-analysis of effectiveness. Am J Prev Med. 2013 Apr;44(4):406–15. doi: 10.1016/j.amepre.2012.12.007.
    1. Petersen R, Sill S, Lu C, Young J, Edington DW. Effectiveness of employee internet-based weight management program. J Occup Environ Med. 2008 Feb;50(2):163–71. doi: 10.1097/JOM.0b013e31815c6cf6.
    1. van Wier MF, Ariëns GA, Dekkers J, Hendriksen IJ, Smid T, van Mechelen W. Phone and e-mail counselling are effective for weight management in an overweight working population: a randomized controlled trial. BMC Public Health. 2009 Jan 09;9:6. doi: 10.1186/1471-2458-9-6.
    1. Cook RF, Billings DW, Hersch RK, Back AS, Hendrickson A. A field test of a web-based workplace health promotion program to improve dietary practices, reduce stress, and increase physical activity: randomized controlled trial. J Med Internet Res. 2007 Jun 19;9(2):e17. doi: 10.2196/jmir.9.2.e17.
    1. Lyzwinski LN. A systematic review and meta-analysis of mobile devices and weight loss with an intervention content analysis. J Pers Med. 2014 Jun 30;4(3):311–85. doi: 10.3390/jpm4030311.
    1. Safran N, Madar Z, Shahar D. The impact of a Web-based app (eBalance) in promoting healthy lifestyles: randomized controlled trial. J Med Internet Res. 2015 Mar 02;17(3):e56. doi: 10.2196/jmir.3682.
    1. Mosa AS, Yoo I, Sheets L. A systematic review of healthcare applications for smartphones. BMC Med Inform Decis Mak. 2012 Jul 10;12:67. doi: 10.1186/1472-6947-12-67.
    1. King AC, Hekler EB, Grieco LA, Winter SJ, Sheats JL, Buman MP, Banerjee B, Robinson TN, Cirimele J. Harnessing different motivational frames via mobile phones to promote daily physical activity and reduce sedentary behavior in aging adults. PLoS One. 2013;8(4):e62613. doi: 10.1371/journal.pone.0062613.
    1. Toubro S, Astrup A. Randomised comparison of diets for maintaining obese subjects' weight after major weight loss: ad lib, low fat, high carbohydrate diet v fixed energy intake. Br Med J. 1997 Jan 04;314(7073):29–34.
    1. Skive L. Motionsmanualen. København: Komiteen for Sundhedsoplysning; 2003.
    1. Nabe NK, Garde A, Borg V, Jensen J, Høgh A. Arbejdstider i ældreplejen. København: Det Nationale Forskningscenter for Arbejdsmiljø; 2016.
    1. Bennett GG, Herring SJ, Puleo E, Stein EK, Emmons KM, Gillman MW. Web-based weight loss in primary care: a randomized controlled trial. Obesity (Silver Spring) 2010 Feb;18(2):308–13. doi: 10.1038/oby.2009.242. doi: 10.1038/oby.2009.242.
    1. Collins CE, Morgan PJ, Jones P, Fletcher K, Martin J, Aguiar EJ, Lucas A, Neve MJ, Callister R. A 12-week commercial web-based weight-loss program for overweight and obese adults: randomized controlled trial comparing basic versus enhanced features. J Med Internet Res. 2012 Apr 25;14(2):e57. doi: 10.2196/jmir.1980.
    1. Patrick K, Raab F, Adams MA, Dillon L, Zabinski M, Rock CL, Griswold WG, Norman GJ. A text message-based intervention for weight loss: randomized controlled trial. J Med Internet Res. 2009 Jan 13;11(1):e1. doi: 10.2196/jmir.1100.
    1. Mossavar-Rahmani Y, Henry H, Rodabough R, Bragg C, Brewer A, Freed T, Kinzel L, Pedersen M, Soule CO, Vosburg S. Additional self-monitoring tools in the dietary modification component of the Women's Health Initiative. J Am Diet Assoc. 2004 Jan;104(1):76–85. doi: 10.1016/j.jada.2003.10.017.
    1. Tate D, Jackvony E, Wing R. Effects of Internet behavioral counseling on weight loss in adults at risk for type 2 diabetes: a randomized trial. J Am Med Assoc. 2003 Apr 09;289(14):1833–6. doi: 10.1001/jama.289.14.1833.

Source: PubMed

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