Possible Impact of a 12-Month Web- and Smartphone-Based Program to Improve Long-term Physical Activity in Patients Attending Spa Therapy: Randomized Controlled Trial

Florie Fillol, Ludivine Paris, Sébastien Pascal, Aurélien Mulliez, Christian-François Roques, Sylvie Rousset, Martine Duclos, Florie Fillol, Ludivine Paris, Sébastien Pascal, Aurélien Mulliez, Christian-François Roques, Sylvie Rousset, Martine Duclos

Abstract

Background: Lack of physical activity (PA) and sedentary behaviors are leading risk factors for noncommunicable diseases (NCDs). Web- and smartphone-based interventions are effective in increasing PA in older adults and in patients with NCD. In many countries, spa therapy, commonly prescribed to patients with NCD, represents an ideal context to initiating lifestyle changes.

Objective: This study aimed to evaluate, in patients attending spa therapy, the effectiveness of an intervention combining a face-to-face coaching and, when returning home, a web- and smartphone-based PA program on the achievement of PA guidelines (PAG) 12 months after the end of spa therapy.

Methods: This was a 12-month, prospective, parallel-group randomized controlled trial. Patients were enrolled during spa therapy and randomized 1:1 to intervention or control group who received PA usual advice. From the end of spa therapy, PA, weight, waist circumference, and quality of life of the participants were assessed by phone every 2 months. Primary outcome was meeting PAG (PA ≥600 metabolic equivalent of task) at 12 months. Secondary outcomes were meeting current PAG at 6 months; sedentary time, weight, waist circumference, PA, and quality of life at 6 and 12 months. Objective use data of the web- and smartphone-based PA program were collected. Analytic methods included intention to treat and constrained longitudinal data analyses.

Results: The study sample included 228 participants (n=176, 77.2% females) with a mean age of 62.4 (SD 6.7) years and a mean BMI of 28.2 (SD 4.2) kg/m2. Approximately 53.9% (123/228) of the participants were retired. No group differences were found for any baseline variable. At 12 months, the proportion of patients achieving PAG was significantly higher in intervention group than in the control group (81% vs 67% respectively, odds ratio 2.34, 95% CI 1.02-5.38; P=.045). No difference between intervention and control group was found neither in achieving PAG at 6 months nor for sedentary time, weight, and waist circumference at 6 and 12 months. Regarding quality of life, the physical component subscale score was significantly higher at 12 months in the intervention group than in the control group (mean difference: 4.1, 95% CI 1.9-6.3; P<.001). The mean duration use of the program was 7.1 (SD 4.5) months. Attrition rate during the first 2 months was 20.4% (23/113) whereas 39.8% (45/113) of the participants used the program for at least 10 months.

Conclusions: PA increased in both the intervention group and the control group. However, at 12 months, more participants met PAG in the intervention group compared with the controls. This indicates that the web- and smartphone-based program could have maintained PA in the intervention group. In addition, a spa therapy seems to be an ideal time and framework to implement PA education.

Trial registration: ClinicalTrials.gov NCT02694796; https://ichgcp.net/clinical-trials-registry/NCT02694796.

Keywords: aged; exercise; follow-up studies; internet; mobile phone; older adults; physical activity; quality of life; sedentary behavior; spa.

Conflict of interest statement

Conflicts of Interest: FF was an employee of Biomouv SAS Inc and SP was the chief executive officer of Biomouv SAS Inc, who provided the web and smartphone-based physical activity program. CFR was the president of the Association Française pour la Recherche Thermale Scientific Committee.

©Florie Fillol, Ludivine Paris, Sébastien Pascal, Aurélien Mulliez, Christian-François Roques, Sylvie Rousset, Martine Duclos. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 16.06.2022.

Figures

Figure 1
Figure 1
CONSORT (Consolidated Standards of Reporting Trials) flowchart. IPAQ: International Physical Activity Questionnaire.
Figure 2
Figure 2
Change in the percentage of PA guidelines achievement (total PA MET≥600) marginal values according to constrained longitudinal data analysis model for each group over time. MET: metabolic equivalent of task; PA: physical activity.
Figure 3
Figure 3
International Physical Activity Questionnaire scores for total, moderate, intense, and walking physical activity margin values according to constrained longitudinal data analysis model for each group over time. MET: metabolic equivalent of task; PA: physical activity.
Figure 4
Figure 4
Sedentary times marginal values according to constrained longitudinal data analysis model for each group over time.
Figure 5
Figure 5
Weight and waist circumference marginal values according to constrained longitudinal data analysis model for each group over time.
Figure 6
Figure 6
SF-12 scores (PCS and MCS) marginal values to constrained longitudinal data analysis model for each group over time. MCS: mental component subscale; PCS: physical component subscale; SF-12: Short Form Health Survey-12.

References

    1. Global status report on noncommunicable diseases 2014. World Health Organization. 2014. [2021-10-05]. .
    1. Thivel D, Tremblay A, Genin PM, Panahi S, Rivière D, Duclos M. Physical activity, inactivity, and sedentary behaviors: definitions and implications in occupational health. Front Public Health. 2018 Oct 5;6:288. doi: 10.3389/fpubh.2018.00288. doi: 10.3389/fpubh.2018.00288.
    1. GBD 2017 Causes of Death Collaborators Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 Nov 10;392(10159):1736–88. doi: 10.1016/S0140-6736(18)32203-7. S0140-6736(18)32203-7
    1. Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1·9 million participants. Lancet Glob Health. 2018 Oct;6(10):e1077–86. doi: 10.1016/S2214-109X(18)30357-7. S2214-109X(18)30357-7
    1. Étude de santé sur l'environnement, la biosurveillance, l'activité physique et la nutrition (Esteban), 2014-2016. Volet Nutrition. Chapitre Activité physique et sédentarité. 2e édition. Santé publique France. 2020. Feb 13, [2021-10-05]. .
    1. Leavitt MO. 2008 Physical Activity Guidelines for Americans. U.S. Department of Health and Human Services. 2008. [2021-10-05]. .
    1. Macera CA, Cavanaugh A, Bellettiere J. State of the art review: physical activity and older adults. Am J Lifestyle Med. 2016 Jun 23;11(1):42–57. doi: 10.1177/1559827615571897. 10.1177_1559827615571897
    1. Dorn J, Naughton J, Imamura D, Trevisan M. Correlates of compliance in a randomized exercise trial in myocardial infarction patients. Med Sci Sports Exerc. 2001 Jul;33(7):1081–9. doi: 10.1097/00005768-200107000-00003.
    1. Gal R, May AM, van Overmeeren EJ, Simons M, Monninkhof EM. The effect of physical activity interventions comprising wearables and smartphone applications on physical activity: a systematic review and meta-analysis. Sports Med Open. 2018 Sep 03;4(1):42. doi: 10.1186/s40798-018-0157-9. 10.1186/s40798-018-0157-9
    1. Jahangiry L, Farhangi MA, Shab-Bidar S, Rezaei F, Pashaei T. Web-based physical activity interventions: a systematic review and meta-analysis of randomized controlled trials. Public Health. 2017 Nov;152:36–46. doi: 10.1016/j.puhe.2017.06.005.S0033-3506(17)30208-1
    1. Muellmann S, Forberger S, Möllers T, Bröring E, Zeeb H, Pischke CR. Effectiveness of eHealth interventions for the promotion of physical activity in older adults: a systematic review. Prev Med. 2018 Mar;108:93–110. doi: 10.1016/j.ypmed.2017.12.026.S0091-7435(17)30514-5
    1. Kwan RY, Salihu D, Lee PH, Tse M, Cheung DS, Roopsawang I, Choi KS. The effect of e-health interventions promoting physical activity in older people: a systematic review and meta-analysis. Eur Rev Aging Phys Act. 2020 Apr 21;17:7. doi: 10.1186/s11556-020-00239-5. 239
    1. Boekhout JM, Berendsen BA, Peels DA, Bolman CA, Lechner L. Evaluation of a computer-tailored healthy ageing intervention to promote physical activity among single older adults with a chronic disease. Int J Environ Res Public Health. 2018 Feb 15;15(2):346. doi: 10.3390/ijerph15020346. ijerph15020346
    1. Lunde P, Nilsson BB, Bergland A, Kværner KJ, Bye A. The effectiveness of smartphone apps for lifestyle improvement in noncommunicable diseases: systematic review and meta-analyses. J Med Internet Res. 2018 May 04;20(5):e162. doi: 10.2196/jmir.9751. v20i5e162
    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. Gremeaux V, Benaïm C, Poiraudeau S, Hérisson C, Dupeyron A, Coudeyre E. Evaluation of the benefits of low back pain patients' education workshops during spa therapy. Joint Bone Spine. 2013 Jan;80(1):82–7. doi: 10.1016/j.jbspin.2011.12.014.S1297-319X(11)00334-4
    1. Kwiatkowski F, Mouret-Reynier MA, Duclos M, Leger-Enreille A, Bridon F, Hahn T, Van Praagh-Doreau I, Travade A, Gironde M, Bézy O, Lecadet J, Vasson MP, Jouvency S, Cardinaud S, Roques CF, Bignon YJ. Long term improved quality of life by a 2-week group physical and educational intervention shortly after breast cancer chemotherapy completion. Results of the 'Programme of Accompanying women after breast Cancer treatment completion in Thermal resorts' (PACThe) randomised clinical trial of 251 patients. Eur J Cancer. 2013 May;49(7):1530–8. doi: 10.1016/j.ejca.2012.12.021.S0959-8049(12)01030-1
    1. Gin H, Demeaux JL, Grelaud A, Grolleau A, Droz-Perroteau C, Robinson P, Lassalle R, Abouelfath A, Boisseau M, Toussaint C, Moore N. Observation of the long-term effects of lifestyle intervention during balneotherapy in metabolic syndrome. Therapie. 2013;68(3):163–7. doi: 10.2515/therapie/2013025.th132123
    1. Maitre J, Guinhouya B, Darrieutort N, Paillard T. Physical education in a thermal spa resort to maintain an active lifestyle at home: a one-year self-controlled follow-up pilot study. Evid Based Complement Alternat Med. 2017;2017:1058419. doi: 10.1155/2017/1058419. doi: 10.1155/2017/1058419.
    1. Schnebelen-Berthier C, Negro N, Jaruga A, Roques CF, Lecerf JM. Long term effect of spa therapy combined with patient education program on subjects with overweight and obesity - a controlled study. Obes Res Clin Pract. 2019;13(5):492–8. doi: 10.1016/j.orcp.2019.06.005.S1871-403X(19)30095-X
    1. Jones CJ, Rose DJ. International guidelines for training physical activity instructors for older adults. J Aging Phys Act. 2004 Jan;12(1):1–2. doi: 10.1123/japa.12.1.1.
    1. Borg G. Psychophysical scaling with applications in physical work and the perception of exertion. Scand J Work Environ Health. 1990;16 Suppl 1:55–8. doi: 10.5271/sjweh.1815. 1815
    1. Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003 Aug;35(8):1381–95. doi: 10.1249/01.MSS.0000078924.61453.FB.
    1. Ojad P, Tuxworth B. Eurofit for Adults: Assessment of Health-related Fitness. New York, NY, USA: Council of Europe, Committee for the Development of Sport; 1995.
    1. Fournier J, Vuillemin A, Le Cren F. Mesure de la condition physique chez les personnes âgées. Évaluation de la condition physique des seniors : adaptation française de la batterie américaine « Senior Fitness Test ». Sci Sports. 2012 Sep;27(4):254–9. doi: 10.1016/j.scispo.2012.07.005.
    1. Ware JE, Kosinski M, Keller SD. SF-12: How to Score the SF-12 Physical and Mental Health Summary Scales. Boston, MA, USA: The Health Institute, New England Medical Center; 1995.
    1. Kolt GS, Schofield GM, Kerse N, Garrett N, Ashton T, Patel A. Healthy Steps trial: pedometer-based advice and physical activity for low-active older adults. Ann Fam Med. 2012;10(3):206–12. doi: 10.1370/afm.1345. 10/3/206
    1. Gupta SK. Intention-to-treat concept: a review. Perspect Clin Res. 2011 Jul;2(3):109–12. doi: 10.4103/2229-3485.83221. PCR-2-109
    1. Wittes J. Sample size calculations for randomized controlled trials. Epidemiol Rev. 2002;24(1):39–53. doi: 10.1093/epirev/24.1.39.
    1. Lu K. On efficiency of constrained longitudinal data analysis versus longitudinal analysis of covariance. Biometrics. 2010 Sep;66(3):891–6. doi: 10.1111/j.1541-0420.2009.01332.x.BIOM1332
    1. Alley SJ, Kolt GS, Duncan MJ, Caperchione CM, Savage TN, Maeder AJ, Rosenkranz RR, Tague R, Van Itallie AK, Kerry Mummery W, Vandelanotte C. The effectiveness of a Web 2.0 physical activity intervention in older adults - a randomised controlled trial. Int J Behav Nutr Phys Act. 2018 Jan 12;15(1):4. doi: 10.1186/s12966-017-0641-5. 10.1186/s12966-017-0641-5
    1. Rowley TW, Lenz EK, Swartz AM, Miller NE, Maeda H, Strath SJ. Efficacy of an individually tailored, Internet-mediated physical activity intervention in older adults: a randomized controlled trial. J Appl Gerontol. 2019 Jul;38(7):1011–22. doi: 10.1177/0733464817735396.
    1. Broekhuizen K, de Gelder J, Wijsman CA, Wijsman LW, Westendorp RG, Verhagen E, Slagboom PE, de Craen AJ, van Mechelen W, van Heemst D, van der Ouderaa F, Mooijaart SP. An Internet-based physical activity intervention to improve quality of life of inactive older adults: a randomized controlled trial. J Med Internet Res. 2016 Apr 27;18(4):e74. doi: 10.2196/jmir.4335. v18i4e74
    1. Irvine AB, Gelatt VA, Seeley JR, Macfarlane P, Gau JM. Web-based intervention to promote physical activity by sedentary older adults: randomized controlled trial. J Med Internet Res. 2013 Feb 05;15(2):e19. doi: 10.2196/jmir.2158. v15i2e19
    1. Seo DC, Niu J. Evaluation of Internet-based interventions on waist circumference reduction: a meta-analysis. J Med Internet Res. 2015 Jul 21;17(7):e181. doi: 10.2196/jmir.3921. v17i7e181
    1. Melanson EL, Keadle SK, Donnelly JE, Braun B, King NA. Resistance to exercise-induced weight loss: compensatory behavioral adaptations. Med Sci Sports Exerc. 2013 Aug;45(8):1600–9. doi: 10.1249/MSS.0b013e31828ba942.
    1. Blanchard CM, Reid RD, Morrin LI, Beaton LJ, Pipe A, Courneya KS, Plotnikoff RC. Barrier self-efficacy and physical activity over a 12-month period in men and women who do and do not attend cardiac rehabilitation. Rehabil Psychol. 2007;52(1):65–73. doi: 10.1037/0090-5550.52.1.65.
    1. Jenkins LS, Gortner SR. Correlates of self-efficacy expectation and prediction of walking behavior in cardiac surgery elders. Ann Behav Med. 1998;20(2):99–103. doi: 10.1007/BF02884455.
    1. Fisher RJ. Social desirability bias and the validity of indirect questioning. J Consum Res. 1993 Sep;20(2):303–15. doi: 10.1086/209351.
    1. Parsons HM. What happened at Hawthorne?: new evidence suggests the Hawthorne effect resulted from operant reinforcement contingencies. Science. 1974 Mar 08;183(4128):922–32. doi: 10.1126/science.183.4128.922.183/4128/922
    1. Eysenbach G. The law of attrition. J Med Internet Res. 2005 Mar 31;7(1):e11. doi: 10.2196/jmir.7.1.e11. v7e11
    1. Edney S, Ryan JC, Olds T, Monroe C, Fraysse F, Vandelanotte C, Plotnikoff R, Curtis R, Maher C. User engagement and attrition in an app-based physical activity intervention: secondary analysis of a randomized controlled trial. J Med Internet Res. 2019 Nov 27;21(11):e14645. doi: 10.2196/14645. v21i11e14645
    1. Kolt GS, Rosenkranz RR, Vandelanotte C, Caperchione CM, Maeder AJ, Tague R, Savage TN, Van IA, Mummery WK, Oldmeadow C, Duncan MJ. Using Web 2.0 applications to promote health-related physical activity: findings from the WALK 2.0 randomised controlled trial. Br J Sports Med. 2017 Oct;51(19):1433–40. doi: 10.1136/bjsports-2016-096890. bjsports-2016-096890
    1. Lunde P, Bye A, Bergland A, Grimsmo J, Jarstad E, Nilsson BB. Long-term follow-up with a smartphone application improves exercise capacity post cardiac rehabilitation: a randomized controlled trial. Eur J Prev Cardiol. 2020 Nov;27(16):1782–92. doi: 10.1177/2047487320905717.

Source: PubMed

3
Prenumerera