Wearable Devices to Improve Physical Activity and Reduce Sedentary Behaviour: An Umbrella Review.

Activity monitors Frailty Hypertension Low back pain Musculoskeletal Obesity Osteoarthritis Physical activity Sedentary behaviour Wearable devices

Journal

Sports medicine - open
ISSN: 2199-1170
Titre abrégé: Sports Med Open
Pays: Switzerland
ID NLM: 101662568

Informations de publication

Date de publication:
14 Jan 2024
Historique:
received: 28 04 2023
accepted: 03 01 2024
medline: 14 1 2024
pubmed: 14 1 2024
entrez: 14 1 2024
Statut: epublish

Résumé

Several systematic reviews (SRs), with and without meta-analyses, have investigated the use of wearable devices to improve physical activity, and there is a need for frequent and updated syntheses on the topic. We aimed to evaluate whether using wearable devices increased physical activity and reduced sedentary behaviour in adults. We conducted an umbrella review searching PubMed, Cumulative Index to Nursing and Allied Health Literature, the Cochrane Library, MedRxiv, Rxiv and bioRxiv databases up to February 5th, 2023. We included all SRs that evaluated the efficacy of interventions when wearable devices were used to measure physical activity in adults aged over 18 years. The primary outcomes were physical activity and sedentary behaviour measured as the number of steps per day, minutes of moderate to vigorous physical activity (MVPA) per week, and minutes of sedentary behaviour (SB) per day. We assessed the methodological quality of each SR using the Assessment of Multiple Systematic Reviews, version 2 (AMSTAR 2) and the certainty of evidence of each outcome measure using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations). We interpreted the results using a decision-making framework examining the clinical relevance and the concordances or discordances of the SR effect size. Fifty-one SRs were included, of which 38 included meta-analyses (302 unique primary studies). Of the included SRs, 72.5% were rated as 'critically low methodological quality'. Overall, with a slight overlap of primary studies (corrected cover area: 3.87% for steps per day, 3.12% for MVPA, 4.06% for SB) and low-to-moderate certainty of the evidence, the use of WDs may increase PA by a median of 1,312.23 (IQR 627-1854) steps per day and 57.8 (IQR 37.7 to 107.3) minutes per week of MVPA. Uncertainty is present for PA in pathologies and older adults subgroups and for SB in mixed and older adults subgroups (large confidence intervals). Our findings suggest that the use of WDs may increase physical activity in middle-aged adults. Further studies are needed to investigate the effects of using WDs on specific subgroups (such as pathologies and older adults) in different follow-up lengths, and the role of other intervention components.

Sections du résumé

BACKGROUND BACKGROUND
Several systematic reviews (SRs), with and without meta-analyses, have investigated the use of wearable devices to improve physical activity, and there is a need for frequent and updated syntheses on the topic.
OBJECTIVE OBJECTIVE
We aimed to evaluate whether using wearable devices increased physical activity and reduced sedentary behaviour in adults.
METHODS METHODS
We conducted an umbrella review searching PubMed, Cumulative Index to Nursing and Allied Health Literature, the Cochrane Library, MedRxiv, Rxiv and bioRxiv databases up to February 5th, 2023. We included all SRs that evaluated the efficacy of interventions when wearable devices were used to measure physical activity in adults aged over 18 years. The primary outcomes were physical activity and sedentary behaviour measured as the number of steps per day, minutes of moderate to vigorous physical activity (MVPA) per week, and minutes of sedentary behaviour (SB) per day. We assessed the methodological quality of each SR using the Assessment of Multiple Systematic Reviews, version 2 (AMSTAR 2) and the certainty of evidence of each outcome measure using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations). We interpreted the results using a decision-making framework examining the clinical relevance and the concordances or discordances of the SR effect size.
RESULTS RESULTS
Fifty-one SRs were included, of which 38 included meta-analyses (302 unique primary studies). Of the included SRs, 72.5% were rated as 'critically low methodological quality'. Overall, with a slight overlap of primary studies (corrected cover area: 3.87% for steps per day, 3.12% for MVPA, 4.06% for SB) and low-to-moderate certainty of the evidence, the use of WDs may increase PA by a median of 1,312.23 (IQR 627-1854) steps per day and 57.8 (IQR 37.7 to 107.3) minutes per week of MVPA. Uncertainty is present for PA in pathologies and older adults subgroups and for SB in mixed and older adults subgroups (large confidence intervals).
CONCLUSIONS CONCLUSIONS
Our findings suggest that the use of WDs may increase physical activity in middle-aged adults. Further studies are needed to investigate the effects of using WDs on specific subgroups (such as pathologies and older adults) in different follow-up lengths, and the role of other intervention components.

Identifiants

pubmed: 38219269
doi: 10.1186/s40798-024-00678-9
pii: 10.1186/s40798-024-00678-9
doi:

Types de publication

Systematic Review

Langues

eng

Pagination

9

Informations de copyright

© 2024. The Author(s).

Références

World Health Organization. Global action plan on physical activity 2018–2030: more active people for a healthier world. 2018 [cited; Available from.
Singh B, Olds T, Curtis R, Dumuid D, Virgara R, Watson A, et al. Effectiveness of physical activity interventions for improving depression, anxiety and distress: an overview of systematic reviews. Br J Sports Med. 2023.
Zhao W, Hu P, Sun W, Wu W, Zhang J, Deng H, et al. Effect of physical activity on the risk of frailty: a systematic review and meta-analysis. PLoS ONE. 2022;17(12): e0278226.
pubmed: 36454790 pmcid: 9714708 doi: 10.1371/journal.pone.0278226
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;6(10):e1077–86.
pubmed: 30193830 doi: 10.1016/S2214-109X(18)30357-7
Paudel S, Ahmadi M, Phongsavan P, Hamer M, Stamatakis E. Do associations of physical activity and sedentary behaviour with cardiovascular disease and mortality differ across socioeconomic groups? A prospective analysis of device-measured and self-reported UK Biobank data. Br J Sports Med. 2023.
Saunders TJ, McIsaac T, Douillette K, Gaulton N, Hunter S, Rhodes RE, et al. Sedentary behaviour and health in adults: an overview of systematic reviews. Appl Physiol Nutr Metab. 2020;45(10 (Suppl. 2)):S197–S217.
Shin G, Jarrahi MH, Fei Y, Karami A, Gafinowitz N, Byun A, et al. Wearable activity trackers, accuracy, adoption, acceptance and health impact: a systematic literature review. J Biomed Inform. 2019;93: 103153.
pubmed: 30910623 doi: 10.1016/j.jbi.2019.103153
Feehan LM, Geldman J, Sayre EC, Park C, Ezzat AM, Yoo JY, et al. Accuracy of fitbit devices: systematic review and narrative syntheses of quantitative data. JMIR Mhealth Uhealth. 2018;6(8): e10527.
pubmed: 30093371 pmcid: 6107736 doi: 10.2196/10527
Yen HY, Chiu HL. The effectiveness of wearable technologies as physical activity interventions in weight control: a systematic review and meta-analysis of randomized controlled trials. Obes Rev. 2019;20(10):1485–93.
pubmed: 31342646 doi: 10.1111/obr.12909
Yen HY. Smart wearable devices as a psychological intervention for healthy lifestyle and quality of life: a randomized controlled trial. Qual Life Res. 2021;30(3):791–802.
pubmed: 33104939 doi: 10.1007/s11136-020-02680-6
Brickwood KJ, Watson G, O’Brien J, Williams AD. Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis. JMIR Mhealth Uhealth. 2019;7(4): e11819.
pubmed: 30977740 pmcid: 6484266 doi: 10.2196/11819
Li C, Chen X, Bi X. Wearable activity trackers for promoting physical activity: a systematic meta-analytic review. Int J Med Inform. 2021;152: 104487.
pubmed: 34020170 doi: 10.1016/j.ijmedinf.2021.104487
Tang MSS, Moore K, McGavigan A, Clark RA, Ganesan AN. Effectiveness of wearable trackers on physical activity in healthy adults: systematic review and meta-analysis of randomized controlled trials. JMIR Mhealth Uhealth. 2020;8(7): e15576.
pubmed: 32706685 pmcid: 7407266 doi: 10.2196/15576
Ferguson T, Olds T, Curtis R, Blake H, Crozier AJ, Dankiw K, et al. Effectiveness of wearable activity trackers to increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses. Lancet Digit Health. 2022;4(8):e615–26.
pubmed: 35868813 doi: 10.1016/S2589-7500(22)00111-X
Aromataris E, Fernandez R, Godfrey C, Holly C, Khalil H, Bhatarasakoon P. Chapter 10: Umbrella Reviews. 2020.
Pollock M, Fernandes R, Becker L, Pieper D, Hartling L. Part 1, Chapter V: overviews of reviews. In: Julian Higgins JT, editor. Cochrane Handbook for Systematic Reviews of Interventions Handbook;2022.
Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;29(372): n71.
doi: 10.1136/bmj.n71
Pollock M, Fernandes RM, Pieper D, Tricco AC, Gates M, Gates A, et al. Preferred reporting items for overviews of reviews (PRIOR): a protocol for development of a reporting guideline for overviews of reviews of healthcare interventions. Syst Rev. 2019;8(1):335.
pubmed: 31870434 pmcid: 6929355 doi: 10.1186/s13643-019-1252-9
Gates M, Gates A, Pieper D, Fernandes RM, Tricco AC, Moher D, et al. Reporting guideline for overviews of reviews of healthcare interventions: development of the PRIOR statement. BMJ. 2022;9(378): e070849.
doi: 10.1136/bmj-2022-070849
Higgins J, Thomas J, Chandler JCM, Li T, Page M, Welch V. Cochrane Handbook for Systematic Reviews of Interventions version 6.3 (updated February 2022). In: Cochrane, 2022, editor. Available from www.training.cochrane.org/handbook .
Ouzzani M, Hammady H, Fedorowicz Z, Elmagarmid A. Rayyan—a web and mobile app for systematic reviews. Syst Rev. 2016;5(1):210.
pubmed: 27919275 pmcid: 5139140 doi: 10.1186/s13643-016-0384-4
Edwards P, Clarke M, DiGuiseppi C, Pratap S, Roberts I, Wentz R. Identification of randomized controlled trials in systematic reviews: accuracy and reliability of screening records. Stat Med. 2002;21(11):1635–40.
pubmed: 12111924 doi: 10.1002/sim.1190
Hennessy EA, Johnson BT. Examining overlap of included studies in meta-reviews: guidance for using the corrected covered area index. Res Synth Methods. 2020;11(1):134–45.
pubmed: 31823513 doi: 10.1002/jrsm.1390
Moja L, Fernandez del Rio MP, Banzi R, Cusi C, D'Amico R, Liberati A, et al. Multiple systematic reviews: methods for assessing discordances of results. Intern Emerg Med. 2012;7(6):563–8.
Lucenteforte E, Moja L, Pecoraro V, Conti AA, Conti A, Crudeli E, et al. Discordances originated by multiple meta-analyses on interventions for myocardial infarction: a systematic review. J Clin Epidemiol. 2015;68(3):246–56.
pubmed: 25533151 doi: 10.1016/j.jclinepi.2014.11.004
Miake-Lye IM, Mak S, Lee J, Luger T, Taylor SL, Shanman R, et al. Massage for pain: an evidence map. J Altern Complement Med. 2019;25(5):475–502.
pubmed: 30892910 pmcid: 6533778 doi: 10.1089/acm.2018.0282
Pieper D, Antoine SL, Mathes T, Neugebauer EA, Eikermann M. Systematic review finds overlapping reviews were not mentioned in every other overview. J Clin Epidemiol. 2014;67(4):368–75.
pubmed: 24581293 doi: 10.1016/j.jclinepi.2013.11.007
Pollock M, Fernandes RM, Becker LA, Piper D, Hartling L. Chapter V: Overviews of Reviews. In: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA, editors. Cochrane Handbook for Systematic Reviews of Interventions version 6.3 (updated February 2022). Cochrane, 2022. Available from https://training.cochrane.org/handbook .
Shea BJ, Reeves BC, Wells G, Thuku M, Hamel C, Moran J, et al. AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both. BMJ. 2017;21(358): j4008.
doi: 10.1136/bmj.j4008
Pollock A, Farmer SE, Brady MC, Langhorne P, Mead GE, Mehrholz J, et al. An algorithm was developed to assign GRADE levels of evidence to comparisons within systematic reviews. J Clin Epidemiol. 2016;70:106–10.
pubmed: 26341023 pmcid: 4742519 doi: 10.1016/j.jclinepi.2015.08.013
Larsen RT, Wagner V, Korfitsen CB, Keller C, Juhl CB, Langberg H, et al. Effectiveness of physical activity monitors in adults: systematic review and meta-analysis. BMJ (Clinical research ed). 2022;376:e068047-e.
Man-Son-Hing M, Laupacis A, O’Rourke K, Molnar FJ, Mahon J, Chan KB, et al. Determination of the clinical importance of study results. J Gen Intern Med. 2002;17(6):469–76.
pubmed: 12133163 pmcid: 1495062 doi: 10.1046/j.1525-1497.2002.11111.x
Schünemann HJ, Oxman AD, Vist GE, Higgins JP, Deeks JJ, Glasziou P, Guyatt GH. Interpreting Results and Drawing Conclusions. In: Higgins JP, Green S, editors. Cochrane Handbook for Systematic Reviews of Interventions. 2008. https://doi.org/10.1002/9780470712184.ch12 .
Vaes AW, Cheung A, Atakhorrami M, Groenen MT, Amft O, Franssen FM, et al. Effect of “activity monitor-based” counseling on physical activity and health-related outcomes in patients with chronic diseases: a systematic review and meta-analysis. Ann Med. 2013;45(5–6):397–412.
pubmed: 23952917 doi: 10.3109/07853890.2013.810891
Mansi S, Milosavljevic S, Baxter GD, Tumilty S, Hendrick P. A systematic review of studies using pedometers as an intervention for musculoskeletal diseases. BMC Musculoskelet Disord. 2014;10(15):231.
doi: 10.1186/1471-2474-15-231
Lewis ZH, Lyons EJ, Jarvis JM, Baillargeon J. Using an electronic activity monitor system as an intervention modality: a systematic review. BMC Public Health. 2015;24(15):585.
doi: 10.1186/s12889-015-1947-3
Qiu S, Cai X, Ju C, Sun Z, Yin H, Zügel M, et al. Step counter use and sedentary time in adults: a meta-analysis. Medicine (Baltimore). 2015;94(35): e1412.
pubmed: 26334900 doi: 10.1097/MD.0000000000001412
Gierisch JM, Goode AP, Batch BC, Huffman KN, Hall KS, Hastings SN, et al. VA Evidence-based Synthesis Program Reports. The Impact of Wearable Motion Sensing Technologies on Physical Activity: A Systematic Review. Washington (DC): Department of Veterans Affairs (US);2015.
Goode AP, Hall KS, Batch BC, Huffman KM, Hastings SN, Allen KD, et al. The impact of interventions that integrate accelerometers on physical activity and weight loss: a systematic review. Ann Behav Med. 2017;51(1):79–93.
pubmed: 27565168 doi: 10.1007/s12160-016-9829-1
de Vries HJ, Kooiman TJ, van Ittersum MW, van Brussel M, de Groot M. Do activity monitors increase physical activity in adults with overweight or obesity? A systematic review and meta-analysis. Obesity (Silver Spring). 2016;24(10):2078–91.
pubmed: 27670401 doi: 10.1002/oby.21619
Rintala A, Hakala S, Paltamaa J, Heinonen A, Karvanen J, Sjögren T. Effectiveness of technology-based distance physical rehabilitation interventions on physical activity and walking in multiple sclerosis: a systematic review and meta-analysis of randomized controlled trials. Disabil Rehabil. 2018;40(4):373–87.
pubmed: 27973919 doi: 10.1080/09638288.2016.1260649
Baskerville R, Ricci-Cabello I, Roberts N, Farmer A. Impact of accelerometer and pedometer use on physical activity and glycaemic control in people with Type 2 diabetes: a systematic review and meta-analysis. Diabet Med. 2017;34(5):612–20.
pubmed: 28173623 doi: 10.1111/dme.13331
Hakala S, Rintala A, Immonen J, Karvanen J, Heinonen A, Sjögren T. Effectiveness of physical activity promoting technology-based distance interventions compared to usual care. Systematic review, meta-analysis and meta-regression. Eur J Phys Rehabil Med. 2017;53(6):953–67.
pubmed: 28466628 doi: 10.23736/S1973-9087.17.04585-3
Stephenson A, McDonough SM, Murphy MH, Nugent CD, Mair JL. Using computer, mobile and wearable technology enhanced interventions to reduce sedentary behaviour: a systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2017;14(1):105.
pubmed: 28800736 pmcid: 5553917 doi: 10.1186/s12966-017-0561-4
Qiu S, Cai X, Wang X, He C, Zügel M, Steinacker JM, et al. Using step counters to promote physical activity and exercise capacity in patients with chronic obstructive pulmonary disease: a meta-analysis. Ther Adv Respir Dis. 2018 Jan-Dec;12:1753466618787386.
Lynch EA, Jones TM, Simpson DB, Fini NA, Kuys SS, Borschmann K, et al. Activity monitors for increasing physical activity in adult stroke survivors. Cochrane Database Syst Rev. 2018;7(7):Cd012543.
Cooper C, Gross A, Brinkman C, Pope R, Allen K, Hastings S, et al. The impact of wearable motion sensing technology on physical activity in older adults. Exp Gerontol. 2018;2(112):9–19.
doi: 10.1016/j.exger.2018.08.002
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;4(1):42.
pubmed: 30178072 pmcid: 6120856 doi: 10.1186/s40798-018-0157-9
Schaffer K, Panneerselvam N, Loh KP, Herrmann R, Kleckner IR, Dunne RF, et al. Systematic review of randomized controlled trials of exercise interventions using digital activity trackers in patients with cancer. J Natl Compr Canc Netw. 2019;17(1):57–63.
pubmed: 30659130 pmcid: 6519727 doi: 10.6004/jnccn.2018.7082
Braakhuis HEM, Berger MAM, Bussmann JBJ. Effectiveness of healthcare interventions using objective feedback on physical activity: a systematic review and meta-analysis. J Rehabil Med. 2019;51(3):151–9.
pubmed: 30843082 doi: 10.2340/16501977-2522
Sypes EE, Newton G, Lewis ZH. Investigating the use of an electronic activity monitor system as a component of physical activity and weight-loss interventions in nonclinical populations: a systematic review. J Phys Act Health. 2019;16(4):294–302.
pubmed: 30849927 doi: 10.1123/jpah.2017-0660
Buckingham SA, Williams AJ, Morrissey K, Price L, Harrison J. Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace: a systematic review. Digit Health. 2019;5:2055207619839883.
Larsen RT, Christensen J, Juhl CB, Andersen HB, Langberg H. Physical activity monitors to enhance amount of physical activity in older adults—a systematic review and meta-analysis. Eur Rev Aging Phys Act. 2019;16:7.
pubmed: 31073341 pmcid: 6500067 doi: 10.1186/s11556-019-0213-6
Hannan AL, Harders MP, Hing W, Climstein M, Coombes JS, Furness J. Impact of wearable physical activity monitoring devices with exercise prescription or advice in the maintenance phase of cardiac rehabilitation: systematic review and meta-analysis. BMC Sports Sci Med Rehabil. 2019;11:14.
pubmed: 31384474 pmcid: 6668165 doi: 10.1186/s13102-019-0126-8
S. Oliveira J, Sherrington C, Zheng E, Franco MR, Tiedemann A. Effect of interventions using physical activity trackers on physical activity in people aged 60 years and over: a systematic review and meta-analysis. Br J Sports Med. 2020;54(20):1188–94.
Armstrong M, Winnard A, Chynkiamis N, Boyle S, Burtin C, Vogiatzis I. Use of pedometers as a tool to promote daily physical activity levels in patients with COPD: a systematic review and meta-analysis. Eur Respir Rev. 2019;28(154).
Yerrakalva D, Yerrakalva D, Hajna S, Griffin S. Effects of mobile health app interventions on sedentary time, physical activity, and fitness in older adults: systematic review and meta-analysis. J Med Internet Res. 2019;21(11): e14343.
pubmed: 31778121 pmcid: 6908977 doi: 10.2196/14343
Lynch C, Bird S, Lythgo N, Selva-Raj I. Changing the physical activity behavior of adults with fitness trackers: a systematic review and meta-analysis. Am J Health Promot. 2020;34(4):418–30.
pubmed: 31858812 doi: 10.1177/0890117119895204
Delva S, Waligora Mendez KJ, Cajita M, Koirala B, Shan R, Wongvibulsin S, et al. Efficacy of mobile health for self-management of cardiometabolic risk factors: a theory-guided systematic review. J Cardiovasc Nurs. 2021;36(1):34–55.
Fawcett E, Van Velthoven MH, Meinert E. Long-term weight management using wearable technology in overweight and obese adults: systematic review. JMIR Mhealth Uhealth. 2020;8(3): e13461.
pubmed: 32154788 pmcid: 7093773 doi: 10.2196/13461
Franssen WMA, Franssen G, Spaas J, Solmi F, Eijnde BO. Can consumer wearable activity tracker-based interventions improve physical activity and cardiometabolic health in patients with chronic diseases? A systematic review and meta-analysis of randomised controlled trials. Int J Behav Nutr Phys Act. 2020;17(1):57.
pubmed: 32393357 pmcid: 7216601 doi: 10.1186/s12966-020-00955-2
Liu JY, Kor PP, Chan CP, Kwan RY, Sze-Ki D. The effectiveness of a wearable activity tracker (WAT)-based intervention to improve physical activity levels in sedentary older adults: a systematic review and meta-analysis. Arch Gerontol Geriatr. 2020;26(91): 104211.
doi: 10.1016/j.archger.2020.104211
Kamei T, Kanamori T, Yamamoto Y, Edirippulige S. The use of wearable devices in chronic disease management to enhance adherence and improve telehealth outcomes: a systematic review and meta-analysis. J Telemed Telecare. 2022;28(5):342–59.
pubmed: 32819184 doi: 10.1177/1357633X20937573
Chaudhry UAR, Wahlich C, Fortescue R, Cook DG, Knightly R, Harris T. The effects of step-count monitoring interventions on physical activity: systematic review and meta-analysis of community-based randomised controlled trials in adults. Int J Behav Nutr Phys Act. 2020;17(1):129.
pubmed: 33036635 pmcid: 7545847 doi: 10.1186/s12966-020-01020-8
Laranjo L, Ding D, Heleno B, Kocaballi B, Quiroz JC, Tong HL, et al. Do smartphone applications and activity trackers increase physical activity in adults? Systematic review, meta-analysis and metaregression. Br J Sports Med. 2021;55(8):422–32.
pubmed: 33355160 doi: 10.1136/bjsports-2020-102892
Chan C, Sounderajah V, Normahani P, Acharya A, Markar SR, Darzi A, et al. Wearable activity monitors in home based exercise therapy for patients with intermittent claudication: a systematic review. Eur J Vasc Endovasc Surg. 2021;61(4):676–87.
pubmed: 33451865 doi: 10.1016/j.ejvs.2020.11.044
Robinson A, Husband AK, Slight RD, Slight SP. Digital technology to support lifestyle and health behaviour changes in surgical patients: systematic review. BJS Open. 2021;5(2).
Ashur C, Cascino TM, Lewis C, Townsend W, Sen A, Pekmezi D, et al. Do wearable activity trackers increase physical activity among cardiac rehabilitation participants? A systematic review and meta-analysis. J Cardiopulm Rehabil Prev. 2021;41(4):249–56.
pubmed: 33828045 doi: 10.1097/HCR.0000000000000592
Blount DS, McDonough DJ, Gao Z. Effect of wearable technology-based physical activity interventions on breast cancer survivors' physiological, cognitive, and emotional outcomes: a systematic review. J Clin Med. 2021;10(9).
Hodkinson A, Kontopantelis E, Adeniji C, van Marwijk H, McMillian B, Bower P, et al. Interventions using wearable physical activity trackers among adults with cardiometabolic conditions: a systematic review and meta-analysis. JAMA Netw Open. 2021;4(7): e2116382.
pubmed: 34283229 pmcid: 9387744 doi: 10.1001/jamanetworkopen.2021.16382
Singh B, Zopf EM, Howden EJ. Effect and feasibility of wearable physical activity trackers and pedometers for increasing physical activity and improving health outcomes in cancer survivors: a systematic review and meta-analysis. J Sport Health Sci. 2022;11(2):184–93.
pubmed: 34314878 doi: 10.1016/j.jshs.2021.07.008
Daryabeygi-Khotbehsara R, Shariful Islam SM, Dunstan D, McVicar J, Abdelrazek M, Maddison R. Smartphone-based interventions to reduce sedentary behavior and promote physical activity using integrated dynamic models: systematic review. J Med Internet Res. 2021;23(9): e26315.
pubmed: 34515637 pmcid: 8477296 doi: 10.2196/26315
Pudkasam S, Feehan J, Talevski J, Vingrys K, Polman R, Chinlumprasert N, et al. Motivational strategies to improve adherence to physical activity in breast cancer survivors: a systematic review and meta-analysis. Maturitas. 2021;152:32–47.
pubmed: 34674806 doi: 10.1016/j.maturitas.2021.06.008
Larsen RT, Wagner V, Korfitsen CB, Keller C, Juhl CB, Langberg H, et al. Effectiveness of physical activity monitors in adults: systematic review and meta-analysis. BMJ. 2022;26(376): e068047.
doi: 10.1136/bmj-2021-068047
Wong SH, Tan ZYA, Cheng LJ, Lau ST. Wearable technology-delivered lifestyle intervention amongst adults with overweight and obese: a systematic review and meta-regression. Int J Nurs Stud. 2022;127: 104163.
pubmed: 35092872 doi: 10.1016/j.ijnurstu.2021.104163
Master H, Bley JA, Coronado RA, Robinette PE, White DK, Pennings JS, et al. Effects of physical activity interventions using wearables to improve objectively-measured and patient-reported outcomes in adults following orthopaedic surgical procedures: a systematic review. PLoS ONE. 2022;17(2): e0263562.
pubmed: 35167599 pmcid: 8846530 doi: 10.1371/journal.pone.0263562
Dehghan Ghahfarokhi A, Vosadi E, Barzegar H, Saatchian V. The effect of wearable and smartphone applications on physical activity, quality of life, and cardiovascular health outcomes in overweight/obese adults: a systematic review and meta-analysis of randomized controlled trials. Biol Res Nurs. 2022;24(4):503–18.
pubmed: 35535558 doi: 10.1177/10998004221099556
de Leeuwerk ME, Bor P, van der Ploeg HP, de Groot V, van der Schaaf M, van der Leeden M. The effectiveness of physical activity interventions using activity trackers during or after inpatient care: a systematic review and meta-analysis of randomized controlled trials. Int J Behav Nutr Phys Act. 2022;19(1):59.
pubmed: 35606852 pmcid: 9125831 doi: 10.1186/s12966-022-01261-9
Lee KH, Lee JY, Kim B. Information and communication technology for physical activity in persons living with dementia: a systematic review with implications for evidence-based practice. Worldviews Evid Based Nurs. 2022;19(4):275–81.
pubmed: 35635249 doi: 10.1111/wvn.12591
Qiu S, Cai X, Chen X, Yang B, Sun Z. Step counter use in type 2 diabetes: a meta-analysis of randomized controlled trials. BMC Med. 2014;27(12):36.
doi: 10.1186/1741-7015-12-36
Kirk MA, Amiri M, Pirbaglou M, Ritvo P. Wearable technology and physical activity behavior change in adults with chronic cardiometabolic disease: a systematic review and meta-analysis. Am J Health Promot. 2019;33(5):778–91.
pubmed: 30586996 doi: 10.1177/0890117118816278
van den Berg-Emons RJ, Bussmann JB, Stam HJ. Accelerometry-based activity spectrum in persons with chronic physical conditions. Arch Phys Med Rehabil. 2010;91(12):1856–61.
pubmed: 21112426 doi: 10.1016/j.apmr.2010.08.018
Reilly C, Sails J, Stavropoulos-Kalinoglou A, Birch RJ, McKenna J, Clifton IJ, et al. Physical activity promotion interventions in chronic airways disease: a systematic review and meta-analysis. Eur Respir Rev. 2023 Mar 31;32(167).
Coley N, Andre L, Hoevenaar-Blom MP, Ngandu T, Beishuizen C, Barbera M, et al. Factors predicting engagement of older adults with a coach-supported ehealth intervention promoting lifestyle change and associations between engagement and changes in cardiovascular and dementia risk: secondary analysis of an 18-month multinational randomized controlled trial. J Med Internet Res. 2022;24(5): e32006.
pubmed: 35385395 pmcid: 9127655 doi: 10.2196/32006
Villa-García L, Davey V, Peréz LM, Soto-Bagaria L, Risco E, Díaz P, et al. Co-designing implementation strategies to promote remote physical activity programs in frail older community-dwellers. Front Public Health. 2023;11:1062843.
pubmed: 36960372 pmcid: 10028273 doi: 10.3389/fpubh.2023.1062843
Zhang Y, Leuk JS, Teo WP. Domains, feasibility, effectiveness, cost, and acceptability of telehealth in aging care: scoping review of systematic reviews. JMIR Aging. 2023;18(6): e40460.
doi: 10.2196/40460
De Santis KK, Mergenthal L, Christianson L, Busskamp A, Vonstein C, Zeeb H. Digital technologies for health promotion and disease prevention in older people: scoping review. J Med Internet Res. 2023;23(25): e43542.
doi: 10.2196/43542
Wang SCY, Kassavou A. Digital Health Behavioural Interventions to Support Physical Activity and Sedentary Behaviour in Adults after Stroke: A Systematic Literature Review with Meta-Analysis of Controlled Trials. Behav Sci (Basel). 2023 Jan 10;13(1).
Aggarwal A, Tam CC, Wu D, Li X, Qiao S. Artificial intelligence-based chatbots for promoting health behavioral changes: systematic review. J Med Internet Res. 2023;24(25): e40789.
doi: 10.2196/40789
Zhang J, Oh YJ, Lange P, Yu Z, Fukuoka Y. Artificial intelligence chatbot behavior change model for designing artificial intelligence chatbots to promote physical activity and a healthy diet: viewpoint. J Med Internet Res. 2020;22(9): e22845.
pubmed: 32996892 pmcid: 7557439 doi: 10.2196/22845
Yardley L, Spring BJ, Riper H, Morrison LG, Crane DH, Curtis K, et al. Understanding and promoting effective engagement with digital behavior change interventions. Am J Prev Med. 2016;51(5):833–42.
pubmed: 27745683 doi: 10.1016/j.amepre.2016.06.015
Jefferis BJ, Parsons TJ, Sartini C, Ash S, Lennon LT, Papacosta O, et al. Objectively measured physical activity, sedentary behaviour and all-cause mortality in older men: Does volume of activity matter more than pattern of accumulation? Br J Sports Med. 2019;53(16):1013–20.
pubmed: 29440040 doi: 10.1136/bjsports-2017-098733
Lee IM, Shiroma EJ, Kamada M, Bassett DR, Matthews CE, Buring JE. Association of step volume and intensity with all-cause mortality in older women. JAMA Intern Med. 2019;179(8):1105–12.
pubmed: 31141585 pmcid: 6547157 doi: 10.1001/jamainternmed.2019.0899
Huffman KM, Sun JL, Thomas L, Bales CW, Califf RM, Yates T, et al. Impact of baseline physical activity and diet behavior on metabolic syndrome in a pharmaceutical trial: results from NAVIGATOR. Metabolism: clinical and experimental. 2014;63(4):554–61.
Kraus WE, Yates T, Tuomilehto J, Sun JL, Thomas L, McMurray JJV, et al. Relationship between baseline physical activity assessed by pedometer count and new-onset diabetes in the NAVIGATOR trial. BMJ Open Diabetes Res Care. 2018;6(1): e000523.
pubmed: 30073088 pmcid: 6067333 doi: 10.1136/bmjdrc-2018-000523
Yates T, Haffner SM, Schulte PJ, Thomas L, Huffman KM, Bales CW, et al. Association between change in daily ambulatory activity and cardiovascular events in people with impaired glucose tolerance (NAVIGATOR trial): a cohort analysis. Lancet (London, England). 2014;383(9922):1059–66.
pubmed: 24361242 doi: 10.1016/S0140-6736(13)62061-9
Watts EL, Saint-Maurice PF, Doherty A, Fensom GK, Freeman JR, Gorzelitz JS, et al. Association of accelerometer-measured physical activity level with risks of hospitalization for 25 common health conditions in UK adults. JAMA Netw Open. 2023;6(2): e2256186.
pubmed: 36795414 pmcid: 9936337 doi: 10.1001/jamanetworkopen.2022.56186
Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557–60.
pubmed: 12958120 pmcid: 192859 doi: 10.1136/bmj.327.7414.557

Auteurs

Jessica Longhini (J)

Department of Diagnostics and Public Health, University of Verona, Verona, Italy.

Silvia Bargeri (S)

Unit of Clinical Epidemiology, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.

Alvisa Palese (A)

Department of Diagnostics and Public Health, University of Verona, Verona, Italy.

Andrea Dell'Isola (A)

Department of Clinical Sciences Lund, Clinical Epidemiology Unit, Orthopedics, Lund University, Lund, Sweden.

Andrea Turolla (A)

Department of Biomedical and Neuromotor Sciences (DIBINEM), Alma Mater Studiorum Università di Bologna, Bologna, Italy.
Unit of Occupational Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Paolo Pillastrini (P)

Department of Biomedical and Neuromotor Sciences (DIBINEM), Alma Mater Studiorum Università di Bologna, Bologna, Italy.
Unit of Occupational Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Simone Battista (S)

Department of Clinical Sciences Lund, Clinical Epidemiology Unit, Orthopedics, Lund University, Lund, Sweden.
Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Campus of Savona, Savona, Italy.

Greta Castellini (G)

Unit of Clinical Epidemiology, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.

Chad Cook (C)

Department of Orthopaedics, Division of Physical Therapy, Duke University, Durham, NC, USA.

Silvia Gianola (S)

Unit of Clinical Epidemiology, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy. silvia.gianola@grupposandonato.it.

Giacomo Rossettini (G)

School of Physiotherapy, University of Verona, Verona, Italy.
Department of Human Neurosciences, University of Roma "Sapienza Roma", Rome, Italy.
Department of Physiotherapy, Faculty of Sport Sciences, Universidad Europea de Madrid, Calle Tajo s/n, Villaviciosa de Odón 28670, Spain.

Classifications MeSH