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Wang P, Tadeo X, Chew HSJ, Sapanel Y, Ong YH, Leung NYT, Chow EKH, Ho D. N-of-1 health optimization: Digital monitoring of biomarker dynamics to gamify adherence to metabolic switching. PNAS NEXUS 2024; 3:pgae214. [PMID: 38881838 PMCID: PMC11179112 DOI: 10.1093/pnasnexus/pgae214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 05/20/2024] [Indexed: 06/18/2024]
Abstract
The digital health field is experiencing substantial growth due to its potential for sustained and longitudinal deployment. In turn, this may drive improved monitoring and intervention as catalysts for behavioral change compared to traditional point-of-care practices. In particular, the increase in incidence of population health challenges such as diabetes, heart disease, fatty liver disease, and other disorders coupled with rising healthcare costs have emphasized the importance of exploring technical, economics, and implementation considerations, among others in the decentralization of health and healthcare innovations. Both healthy individuals and patients stand to benefit from continued technical advances and studies in these domains. To address these points, this study reports a N-of-1 study comprised of sustained regimens of intermittent fasting, fitness (strength and cardiovascular training), and high protein, low carbohydrate diet and parallel monitoring. These regimens were paired with serial blood ketone, blood glucose (wearable and finger stick) and blood pressure readings, as well as body weight measurements using a collection of devices. Collectively this suite of platforms and approaches were used to monitor metabolic switching from glucose to ketones as energy sources-a process associated with potential cardio- and neuroprotective functions. In addition to longitudinal biomarker dynamics, this work discusses user perspectives on the potential role of harnessing digital devices to these dynamics as potential gamification factors, as well as considerations for the role of biomarker monitoring in health regimen development, user stratification, and potentially informing downstream population-scale studies to address metabolic disease, healthy aging and longevity, among other indications.
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Affiliation(s)
- Peter Wang
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore 117583, Singapore
- Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456, Singapore
- The N.1 Institute for Health (N.1), National University of Singapore, Singapore 117456, Singapore
| | - Xavier Tadeo
- Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456, Singapore
- The N.1 Institute for Health (N.1), National University of Singapore, Singapore 117456, Singapore
| | - Han Shi Jocelyn Chew
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
| | - Yoann Sapanel
- Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456, Singapore
- Singapore's Health District @ Queenstown, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456, Singapore
| | - Yoong Hun Ong
- Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456, Singapore
- The N.1 Institute for Health (N.1), National University of Singapore, Singapore 117456, Singapore
| | - Nicole Yong Ting Leung
- Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456, Singapore
- The N.1 Institute for Health (N.1), National University of Singapore, Singapore 117456, Singapore
| | - Edward Kai-Hua Chow
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore 117583, Singapore
- Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456, Singapore
- The N.1 Institute for Health (N.1), National University of Singapore, Singapore 117456, Singapore
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117600, Singapore
- Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore
- NUS Centre for Cancer Research (N2CR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117599, Singapore
| | - Dean Ho
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore 117583, Singapore
- Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456, Singapore
- The N.1 Institute for Health (N.1), National University of Singapore, Singapore 117456, Singapore
- Singapore's Health District @ Queenstown, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456, Singapore
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117600, Singapore
- The Bia-Echo Asia Centre for Reproductive Longevity and Equality, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456, Singapore
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Fanaroff AC, Patel MS, Chokshi N, Coratti S, Farraday D, Norton L, Rareshide C, Zhu J, Klaiman T, Szymczak JE, Russell LB, Small DS, Volpp KGM. Effect of Gamification, Financial Incentives, or Both to Increase Physical Activity Among Patients at High Risk of Cardiovascular Events: The BE ACTIVE Randomized Controlled Trial. Circulation 2024; 149:1639-1649. [PMID: 38583084 DOI: 10.1161/circulationaha.124.069531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 03/28/2024] [Indexed: 04/08/2024]
Abstract
BACKGROUND Physical activity is associated with a lower risk of major adverse cardiovascular events, but few individuals achieve guideline-recommended levels of physical activity. Strategies informed by behavioral economics increase physical activity, but their longer-term effectiveness is uncertain. We sought to determine the effect of behaviorally designed gamification, loss-framed financial incentives, or their combination on physical activity compared with attention control over 12-month intervention and 6-month postintervention follow-up periods. METHODS Between May 2019 and January 2024, participants with clinical atherosclerotic cardiovascular disease or a 10-year risk of myocardial infarction, stroke, or cardiovascular death of ≥7.5% by the Pooled Cohort equation were enrolled in a pragmatic randomized clinical trial. Participants received a wearable device to track daily steps, established a baseline, selected a step goal increase, and were randomly assigned to control (n=151), behaviorally designed gamification (n=304), loss-framed financial incentives (n=302), or gamification+financial incentives (n=305). The primary outcome of the trial was the change in mean daily steps from baseline through the 12-month intervention period. RESULTS A total of 1062 patients (mean±SD age, 67±8; 61% female; 31% non-White) were enrolled. Compared with control subjects, participants had significantly greater increases in mean daily steps from baseline during the 12-month intervention in the gamification arm (adjusted difference, 538.0 [95% CI, 186.2-889.9]; P=0.0027), financial incentives arm (adjusted difference, 491.8 [95% CI, 139.6-844.1]; P=0.0062), and gamification+financial incentives arm (adjusted difference, 868.0 [95% CI, 516.3-1219.7]; P<0.0001). During the 6-month follow-up, physical activity remained significantly greater in the gamification+financial incentives arm than in the control arm (adjusted difference, 576.2 [95% CI, 198.5-954]; P=0.0028), but it was not significantly greater in the gamification (adjusted difference, 459.8 [95% CI, 82.0-837.6]; P=0.0171) or financial incentives (adjusted difference, 327.9 [95% CI, -50.2 to 706]; P=0.09) arms after adjustment for multiple comparisons. CONCLUSIONS Behaviorally designed gamification, loss-framed financial incentives, and the combination of both increased physical activity compared with control over a 12-month intervention period, with the largest effect in gamification+financial incentives. These interventions could be a useful component of strategies to reduce cardiovascular risk in high-risk patients. REGISTRATION URL: https://clinicaltrials.gov; Unique Identifier: NCT03911141.
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Affiliation(s)
- Alexander C Fanaroff
- Department of Medicine, Perelman School of Medicine, (A.C.F., N.C., J.Z., T.K., K.G.M.V.), University of Pennsylvania, Philadelphia
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (A.C.F.), University of Pennsylvania, Philadelphia
- Penn Center for Health Incentives and Behavioral Economics (AC.F., S.C., D.F., L.N., C.R., J.Z., T.K., L.B.R., K.G.M.V.), University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics (A.C.F., N.C., L.B.R., D.S.S., K.G.M.V.), University of Pennsylvania, Philadelphia
- Penn Center for Digital Cardiology (A.C.F., N.C.), University of Pennsylvania, Philadelphia
| | | | - Neel Chokshi
- Department of Medicine, Perelman School of Medicine, (A.C.F., N.C., J.Z., T.K., K.G.M.V.), University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics (A.C.F., N.C., L.B.R., D.S.S., K.G.M.V.), University of Pennsylvania, Philadelphia
- Penn Center for Digital Cardiology (A.C.F., N.C.), University of Pennsylvania, Philadelphia
| | - Samantha Coratti
- Penn Center for Health Incentives and Behavioral Economics (AC.F., S.C., D.F., L.N., C.R., J.Z., T.K., L.B.R., K.G.M.V.), University of Pennsylvania, Philadelphia
| | - David Farraday
- Penn Center for Health Incentives and Behavioral Economics (AC.F., S.C., D.F., L.N., C.R., J.Z., T.K., L.B.R., K.G.M.V.), University of Pennsylvania, Philadelphia
| | - Laurie Norton
- Penn Center for Health Incentives and Behavioral Economics (AC.F., S.C., D.F., L.N., C.R., J.Z., T.K., L.B.R., K.G.M.V.), University of Pennsylvania, Philadelphia
- Department of Medical Ethics and Health Policy (L.N., J.Z., L.B.R., K.G.M.V.), University of Pennsylvania, Philadelphia
| | - Charles Rareshide
- Penn Center for Health Incentives and Behavioral Economics (AC.F., S.C., D.F., L.N., C.R., J.Z., T.K., L.B.R., K.G.M.V.), University of Pennsylvania, Philadelphia
| | - Jingsan Zhu
- Department of Medicine, Perelman School of Medicine, (A.C.F., N.C., J.Z., T.K., K.G.M.V.), University of Pennsylvania, Philadelphia
- Penn Center for Health Incentives and Behavioral Economics (AC.F., S.C., D.F., L.N., C.R., J.Z., T.K., L.B.R., K.G.M.V.), University of Pennsylvania, Philadelphia
- Department of Medical Ethics and Health Policy (L.N., J.Z., L.B.R., K.G.M.V.), University of Pennsylvania, Philadelphia
| | - Tamar Klaiman
- Department of Medicine, Perelman School of Medicine, (A.C.F., N.C., J.Z., T.K., K.G.M.V.), University of Pennsylvania, Philadelphia
- Penn Center for Health Incentives and Behavioral Economics (AC.F., S.C., D.F., L.N., C.R., J.Z., T.K., L.B.R., K.G.M.V.), University of Pennsylvania, Philadelphia
| | - Julia E Szymczak
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City (J.E.S.)
| | - Louise B Russell
- Penn Center for Health Incentives and Behavioral Economics (AC.F., S.C., D.F., L.N., C.R., J.Z., T.K., L.B.R., K.G.M.V.), University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics (A.C.F., N.C., L.B.R., D.S.S., K.G.M.V.), University of Pennsylvania, Philadelphia
- Department of Medical Ethics and Health Policy (L.N., J.Z., L.B.R., K.G.M.V.), University of Pennsylvania, Philadelphia
| | - Dylan S Small
- Leonard Davis Institute of Health Economics (A.C.F., N.C., L.B.R., D.S.S., K.G.M.V.), University of Pennsylvania, Philadelphia
- The Wharton School (D.S.S., K.G.M.V.), University of Pennsylvania, Philadelphia
| | - Kevin G M Volpp
- Department of Medicine, Perelman School of Medicine, (A.C.F., N.C., J.Z., T.K., K.G.M.V.), University of Pennsylvania, Philadelphia
- Penn Center for Health Incentives and Behavioral Economics (AC.F., S.C., D.F., L.N., C.R., J.Z., T.K., L.B.R., K.G.M.V.), University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics (A.C.F., N.C., L.B.R., D.S.S., K.G.M.V.), University of Pennsylvania, Philadelphia
- Department of Medical Ethics and Health Policy (L.N., J.Z., L.B.R., K.G.M.V.), University of Pennsylvania, Philadelphia
- The Wharton School (D.S.S., K.G.M.V.), University of Pennsylvania, Philadelphia
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3
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Fanaroff AC, Coratti S, Farraday D, Norton L, Rareshide C, Zhu J, Levin MG, Damrauer SM, Giri JS, Chokshi NP, Jackson BM, Patel MS. Gamification-augmented home-based exercise for peripheral artery disease: Rationale and design of the GAMEPAD Study. Am Heart J 2024; 270:95-102. [PMID: 38354997 PMCID: PMC10947804 DOI: 10.1016/j.ahj.2024.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 02/07/2024] [Accepted: 02/07/2024] [Indexed: 02/16/2024]
Abstract
BACKGROUND Supervised exercise therapy improves walking performance, functional capacity, and quality of life in patients with peripheral artery disease (PAD). However, few patients with PAD are enrolled in supervised exercise programs, and there are a number of logistical and financial barriers to their participation. A home-based walking intervention is likely to be more accessible to patients with PAD, but no fully home-based walking program has demonstrated efficacy. Concepts from behavioral economics have been used to design scalable interventions that increase daily physical activity in patients with atherosclerotic vascular disease, but whether a similar program would be effective in patients with PAD is uncertain. STUDY DESIGN AND OBJECTIVES GAMEPAD (NCT04536012) is a pragmatic, virtual, randomized controlled trial designed to evaluate the effectiveness of a gamification strategy informed by concepts from behavioral economics to increase daily physical activity in patients with PAD who are seen in cardiology and vascular surgery clinics affiliated with the University of Pennsylvania Health System. Patients are contacted by email or text message, and complete enrollment and informed consent on the Penn Way to Health online platform. A GAMEPAD substudy will evaluate the effectiveness of opt-in versus opt-out framing when approaching patients for study participation. Patients are then provided with a wearable fitness tracker, establish a baseline daily step count, set a goal to increase daily step count by 33%-50%, and are randomized 1:1 to the gamification or control arms. Interventions continue for 16 weeks, including a 4-week period during which goal step count is gradually increased in the gamification arm, with follow-up for an additional 8 weeks to evaluate the durability of behavior change. The trial has met its enrollment goal of 102 participants, with a primary endpoint of change from baseline in daily steps over the 16-week intervention period. Key secondary endpoints include change from baseline in daily steps over the 8-week postintervention follow-up period and changes in patient-reported measures of PAD symptoms and quality of life over the intervention and follow-up periods. CONCLUSIONS GAMEPAD is a virtual, pragmatic randomized clinical trial of a novel, fully home-based walking intervention informed by concepts from behavioral economics to increase physical activity and PAD-specific quality of life in patients with PAD. Its results will have important implications for the application of behavioral economic concepts to scalable home-based strategies to promote physical activity in patients with PAD and other disease processes where physical activity is limited by exertional symptoms. CLINICAL TRIAL REGISTRATION clinicaltrials.gov; NCT04536012.
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Affiliation(s)
- Alexander C Fanaroff
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA; Penn Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Penn Center for Digital Cardiology, University of Pennsylvania, Philadelphia, PA.
| | - Samantha Coratti
- Penn Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA
| | - David Farraday
- Penn Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA
| | - Laurie Norton
- Penn Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA; Department of Medical Ethics and Health Policy, University of Pennsylvania, Philadelphia, PA
| | - Charles Rareshide
- Penn Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA
| | - Jingsan Zhu
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Penn Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA; Department of Medical Ethics and Health Policy, University of Pennsylvania, Philadelphia, PA
| | - Michael G Levin
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
| | - Scott M Damrauer
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania; Division of Vascular Surgery, University of Pennsylvania, Philadelphia, PA
| | - Jay S Giri
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Penn Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
| | - Neel P Chokshi
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Penn Center for Digital Cardiology, University of Pennsylvania, Philadelphia, PA
| | - Benjamin M Jackson
- Division of Vascular Surgery, Lehigh Valley Heart and Vascular Institute, Allentown, PA
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Krukowski RA, Ross KM, Western MJ, Cooper R, Busse H, Forbes C, Kuntsche E, Allmeta A, Silva AM, John-Akinola YO, König LM. Digital health interventions for all? Examining inclusivity across all stages of the digital health intervention research process. Trials 2024; 25:98. [PMID: 38291539 PMCID: PMC10826214 DOI: 10.1186/s13063-024-07937-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 01/15/2024] [Indexed: 02/01/2024] Open
Abstract
Digital interventions offer many possibilities for improving health, as remote interventions can enhance reach and access to underserved groups of society. However, research evaluating digital health interventions demonstrates that such technologies do not equally benefit all and that some in fact seem to reinforce a "digital health divide." By better understanding these potential pitfalls, we may contribute to narrowing the digital divide in health promotion. The aim of this article is to highlight and reflect upon study design decisions that might unintentionally enhance inequities across key research stages-recruitment, enrollment, engagement, efficacy/effectiveness, and retention. To address the concerns highlighted, we propose strategies including (1) the standard definition of "effectiveness" should be revised to include a measure of inclusivity; (2) studies should report a broad range of potential inequity indicators of participants recruited, randomized, and retained and should conduct sensitivity analyses examining potential sociodemographic differences for both the effect and engagement of the digital interventions; (3) participants from historically marginalized groups should be involved in the design of study procedures, including those related to recruitment, consent, intervention implementation and engagement, assessment, and retention; (4) eligibility criteria should be minimized and carefully selected and the screening process should be streamlined; (5) preregistration of trials should include recruitment benchmarks for sample diversity and comprehensive lists of sociodemographic characteristics assessed; and (6) studies within trials should be embedded to systematically test recruitment and retention strategies to improve inclusivity. The implementation of these strategies would enhance the ability of digital health trials to recruit, randomize, engage, and retain a broader and more representative population in trials, ultimately minimizing the digital divide and broadly improving population health.
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Affiliation(s)
- Rebecca A Krukowski
- Department of Public Health Sciences, School of Medicine, University of Virginia, PO Box 800765, Charlottesville, VA, 22908-0765, USA.
| | - Kathryn M Ross
- Department of Clinical & Health Psychology, College of Public Health & Health Professions, University of Florida, PO Box 100165, Gainesville, FL, 32610-0165, USA
| | - Max J Western
- Department for Health, University of Bath, Claverton Down, Bath, BA2 7AY, UK
| | - Rosie Cooper
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Woodstock Road, Oxford, UK
| | - Heide Busse
- Leibniz Institute for Prevention Research and Epidemiology- BIPS, Achterstraße 30, 28359, Bremen, Germany
| | - Cynthia Forbes
- Hull York Medical School, University of Hull, Allam Medical Building, Cottingham Road, Hull, UK
| | - Emmanuel Kuntsche
- Centre for Alcohol Policy Research, La Trobe University, Plenty Road and Kingsbury Drive, Melbourne, 3086 VIC, Australia
| | - Anila Allmeta
- University of Bayreuth, Fritz-Hornschuch-Straße 13, 95326, Kulmbach, Germany
| | - Anabelle Macedo Silva
- Instituto de Estudos Em Saúde Coletiva IESC/ Universidade Federal Do Rio de Janeiro /Leibiniz Science Campus Digital Public Health/Ministério Público Do Estado Do Rio de Janeiro, Rua das Bauhineas 200, Bl B 1602, Península, Barra da Tijuca, Rio de Janeiro, 22776-090, Brazil
| | - Yetunde O John-Akinola
- Department of Health Promotion and Education, Faculty of Public Health, College of Medicine, University of Ibadan, College of Medicine, Queen Elizabeth Road, UCH Campus, Ibadan, Nigeria
| | - Laura M König
- University of Bayreuth, Faculty of Life Sciences: Food, Nutrition and Health University of Vienna, Faculty of Psychology, Wächtergasse 1, 1010, Vienna, Austria
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Monroe CM, Zosel K, Stansbury M, Younginer N, Davis RE, Dutton G, Newton RL, Cai B, West DS. A focus group study among insufficiently physically active African American adults regarding technology-delivered team-based gamification for physical activity promotion. Mhealth 2024; 10:3. [PMID: 38323152 PMCID: PMC10839515 DOI: 10.21037/mhealth-23-44] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 11/16/2023] [Indexed: 02/08/2024] Open
Abstract
Background Gamification represents a promising approach for facilitating positive social interactions among groups of individuals and is increasingly being leveraged in physical activity (PA) interventions to promote enhanced intervention engagement and PA outcomes. Although African American (AA) adults experience disparities associated with health conditions that can be ameliorated with increased PA, little is known about how best to culturally target PA gamification strategies for this population. The purpose of this study was to gather perspectives from AA adults residing in the Southeast United States and subsequently identify themes to help inform the cultural adaptation of an existing electronic and mobile health (e/mHealth) gamification- and theory-based PA intervention for teams of insufficiently active AA adults. Methods An AA moderator facilitated six online focus groups among AA adults (n=42; 93% female; 45.09±9.77 years; 34.40±57.38 minutes/week of reported moderate-intensity equivalent PA), using a semi-structured focus group guide. Drawing from a content analysis approach, transcripts were coded and salient themes were identified. Results The focus groups revealed the following seven themes: (I) motivation (team-based gamification motivating); (II) accountability (team-based gamification promotes accountability); (III) competition (competitive elements attractive); (IV) weekly challenges (prefer to choose weekly PA challenges); (V) leaderboard feedback (preference for viewing steps and active minutes via a leaderboard); (VI) cultural relevancy (prefer elements reflective of their race and culture that promote team unity); (VII) teammate characteristics (mixed preferences regarding ideal sociodemographic characteristics and starting PA level of teammates). Conclusions Integrating team-based gamification in an e/mHealth-based PA intervention may be acceptable among AA adults. The identification of specific design preferences and perceptions of the value of the social environment points to the need to consider surface-level and deep structure cultural targeting when developing and further exploring best practices regarding gamified PA interventions for insufficiently active AAs.
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Affiliation(s)
- Courtney M. Monroe
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Kristen Zosel
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Melissa Stansbury
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Nicholas Younginer
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Rachel E. Davis
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Gareth Dutton
- Department of Medicine, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Robert L. Newton
- Population and Public Health, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - Bo Cai
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Delia Smith West
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
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Monroe CM, Cai B, Edney S, Jake-Schoffman DE, Brazendale K, Bucko A, Armstrong B, Yang CH, Turner-McGrievy G. Harnessing technology and gamification to increase adult physical activity: a cluster randomized controlled trial of the Columbia Moves pilot. Int J Behav Nutr Phys Act 2023; 20:129. [PMID: 37924083 PMCID: PMC10623775 DOI: 10.1186/s12966-023-01530-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Accepted: 10/19/2023] [Indexed: 11/06/2023] Open
Abstract
BACKGROUND The use of health technologies and gamification to promote physical activity has increasingly been examined, representing an opportunistic method for harnessing social support inherent within existing social ties. However, these prior studies have yielded mixed findings and lacked long-term follow-up periods. Thus, a pilot cluster randomized controlled trial was conducted to gauge the feasibility and preliminary efficacy of a digital gamification-based physical activity promotion approach among teams of insufficiently active adults with existing social ties. METHODS Teams (N = 24; 116 total participants) were randomized to either a 12-week intervention (Fitbit, step goals, app, feedback; TECH) or the same program plus gamification (TECH + Gamification). Mixed effects models were used to compare group differences in treatment adherence, and changes in social support, steps, and moderate-to-vigorous physical activity at 12 weeks and 52 weeks from baseline, adjusted for sociodemographic characteristics and team size. RESULTS TECH had a lower mean number of days of Fitbit self-monitoring versus TECH + Gamification during the intervention (adjusted difference: -.30; 95% CI, -.54 to -.07; P = .01). Post-intervention, TECH had 47% lower odds of self-monitoring 7 days per week versus TECH + Gamification (.53; 95% CI, .31 to .89; P = .02). No differences were observed between TECH + Gamification and TECH in increases in social support (0.04; 95% CI, -.21 to .29; P = .76), ActiGraph-measured daily steps (-425; 95% CI, -1065 to 215; P = .19), or moderate-to-vigorous physical activity minutes (-3.36; 95% CI, -8.62 to 1.91; P = .21) from baseline to 12 weeks or in the regression of these improvements by 1 year (Ps > .05). Although not significant in the adjusted models (Ps > .05), clinically meaningful differences in Fitbit-measured daily steps (TECH, 7041 ± 2520; TECH + Gamification, 7988 ± 2707) and active minutes (TECH, 29.90 ± 29.76; TECH + Gamification, 36.38 ± 29.83) were found during the intervention. CONCLUSIONS A gamified physical activity intervention targeting teams of adults with existing social ties was feasible and facilitated favorable, clinically meaningful additive physical activity effects while in place but did not drive enhanced, long-term physical activity participation. Future investigations should explore optimal team dynamics and more direct ways of leveraging social support (training teams; gamifying social support). TRIAL REGISTRATION Clinicaltrials.gov ( NCT03509129 , April 26, 2018).
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Affiliation(s)
- Courtney M Monroe
- Arnold School of Public Health, Department of Health Promotion, Education, and Behavior, University of South Carolina, Discovery 1 Building, Suite 403G, 915 Greene Street, Columbia, SC, 29208, USA.
| | - Bo Cai
- Arnold School of Public Health, Department of Epidemiology and Biostatistics, University of South Carolina, Discovery 1 Building, Room 460, 915 Greene Street, Columbia, SC, 29208, USA
| | - Sarah Edney
- Saw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building (Block MD1), 12 Science Drive 2, #11-01, Singapore, 117549, Singapore
| | - Danielle E Jake-Schoffman
- College of Health and Human Performance, Department of Health Education and Behavior, University of Florida, P.O. Box 118210, Gainesville, FL, 32611, USA
| | - Keith Brazendale
- College of Health Professions and Sciences, Department of Health Sciences, University of Central Florida, HS II, Room 210A, 12805 Pegasus Drive, Orlando, FL, 32816, USA
| | - Agnes Bucko
- College of Health and Human Services, University of North Carolina-Charlotte, 8844 Craver Road, Charlotte, NC, 28223, USA
| | - Bridget Armstrong
- Arnold School of Public Health, Department of Exercise Science, University of South Carolina, Public Health Research Center, Room 132, 921 Assembly Street, Columbia, SC, 29208, USA
| | - Chih-Hsiang Yang
- Arnold School of Public Health, Department of Exercise Science, University of South Carolina, Discovery 1 Building, Room 403E, 915 Greene Street, Columbia, SC, 29208, USA
| | - Gabrielle Turner-McGrievy
- Arnold School of Public Health, Department of Health Promotion, Education, and Behavior, University of South Carolina, Discovery 1 Building, Room 552, 915 Greene Street, Columbia, SC, 29208, USA
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7
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Salinger M, Levy DE, McCurley JL, Gelsomin ED, Rimm EB, Thorndike AN. Employees' Baseline Food Choices and the Effect of a Workplace Intervention to Promote Healthy Eating: Secondary Analysis of the ChooseWell 365 Randomized Controlled Trial. J Acad Nutr Diet 2023; 123:1586-1595.e4. [PMID: 37257691 PMCID: PMC10592532 DOI: 10.1016/j.jand.2023.05.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 05/08/2023] [Accepted: 05/24/2023] [Indexed: 06/02/2023]
Abstract
BACKGROUND Little is known about whether the effectiveness of workplace wellness programs differs by employees' baseline health behaviors. OBJECTIVE This study examined the association of baseline cafeteria food choices with the effect of a workplace intervention on cafeteria food choices, dietary quality, and body mass index (BMI). DESIGN This was a secondary analysis of the ChooseWell 365 randomized controlled trial, testing a set of behavioral interventions to improve diet and prevent weight gain. PARTICIPANTS/SETTING Participants were 602 employees of a Boston, MA, hospital who had purchased food from cafeterias, which used traffic-light food labeling. Data were collected in 2016-2020. INTERVENTION The 12-month intervention (plus 12 months' follow-up) involved financial incentives and personalized feedback on cafeteria purchases. The control group received monthly letters with generic healthy eating and exercise tips. MAIN OUTCOME MEASURES Healthy purchasing scores (HPS) were calculated by weighting color categories (red = 0, yellow = 0.5, green = 1) and scaling from 0 to 100 (healthiest); employees were categorized into baseline (pre-intervention) HPS tertiles (T1 = least healthy, T3 = healthiest). Healthy eating index (HEI-2015) scores were calculated from two 24-hour dietary recalls. Intervention effects on 12- and 24-month changes in HPS (primary outcome), HEI-2015 score, and BMI were compared among tertiles. Subgroup analyses examined whether changes by tertile varied with financial rewards received. STATISTICAL ANALYSES Adjusting for baseline characteristics, multivariable linear regression assessed intervention effects across baseline HPS tertiles. RESULTS Compared with T3, T1 employees had lower education; higher obesity, hypertension, and pre-diabetes; and lower HEI-2015 scores. The intervention increased HPS, but no change was observed in HEI-2015 scores or BMI; the intervention effect did not differ among tertiles at 12 or 24 months. Financial incentives were associated with a larger effect on 12-month HPS changes for T1 than for T2/T3 (P-interaction < 0.001). CONCLUSION Compared with employees with healthier baseline food choices, employees with the least healthy food choices and highest cardiometabolic risk had similar improvements in the nutritional quality of cafeteria purchases as a result of the behavioral intervention, and they appeared to be more responsive to financial incentives.
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Affiliation(s)
- Maggie Salinger
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA
| | - Douglas E. Levy
- Mongan Institute Health Policy Research Center, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Jessica L. McCurley
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Emily D. Gelsomin
- Department of Nutrition and Food Services, Massachusetts General Hospital, Boston, MA
| | - Eric B. Rimm
- Departments of Epidemiology and Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Anne N. Thorndike
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
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8
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Fanaroff AC, Patel MS, Chokshi N, Coratti S, Farraday D, Norton L, Rareshide C, Zhu J, Szymczak JE, Russell LB, Small DS, Volpp KGM. A randomized controlled trial of gamification, financial incentives, or both to increase physical activity among patients with elevated risk for cardiovascular disease: rationale and design of the be active study. Am Heart J 2023; 260:82-89. [PMID: 36870551 PMCID: PMC10919938 DOI: 10.1016/j.ahj.2023.02.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 02/24/2023] [Accepted: 02/24/2023] [Indexed: 05/07/2023]
Abstract
BACKGROUND Higher levels of physical activity are associated with improvements in cardiovascular health, and consensus guidelines recommend that individuals with or at risk for atherosclerotic cardiovascular disease (ASCVD) participate in regular physical activity. However, most adults do not achieve recommended levels of physical activity. Concepts from behavioral economics have been used to design scalable interventions that increase physical activity over short time periods, but the longer-term efficacy of these strategies is uncertain. STUDY DESIGN AND OBJECTIVES BE ACTIVE (NCT03911141) is a pragmatic, virtual, randomized controlled trial designed to evaluate the effectiveness of 3 strategies informed by behavioral economic concepts to increase daily physical activity in patients with established ASCVD or 10-year ASCVD risk > 7.5% who are seen in primary care and cardiology clinics affiliated with the University of Pennsylvania Health System. Patients are contacted by email or text message, and complete enrollment and informed consent on the Penn Way to Health online platform. Patients are then provided with a wearable fitness tracker, establish a baseline daily step count, set a goal to increase daily step count by 33% to 50%, and are randomized 1:2:2:2 to control, gamification, financial incentives, or both gamification and financial incentives. Interventions continue for 12 months, with follow-up for an additional 6 months to evaluate the durability of behavior change. The trial has met its enrollment goal of 1050 participants, with a primary endpoint of change from baseline in daily steps over the 12-month intervention period. Key secondary endpoints include change from baseline in daily steps over the 6-month post-intervention follow-up period and change in moderate to vigorous physical activity over the intervention and follow-up periods. If the interventions prove effective, their effects on life expectancy will be compared with their costs in cost-effectiveness analysis. CONCLUSIONS BE ACTIVE is a virtual, pragmatic randomized clinical trial powered to demonstrate whether gamification, financial incentives, or both are superior to attention control in increasing physical activity. Its results will have important implications for strategies to promote physical activity in patients with or at risk for ASCVD, as well as for the design and implementation of pragmatic virtual clinical trials within health systems.
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Affiliation(s)
- Alexander C Fanaroff
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA; Penn Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Penn Center for Digital Cardiology, University of Pennsylvania, Philadelphia, PA.
| | | | - Neel Chokshi
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Penn Center for Digital Cardiology, University of Pennsylvania, Philadelphia, PA
| | - Samantha Coratti
- Penn Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA
| | - David Farraday
- Penn Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA
| | - Laurie Norton
- Penn Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA; Department of Medical Ethics and Health Policy, University of Pennsylvania, Philadelphia, PA
| | - Charles Rareshide
- Penn Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA
| | - Jingsan Zhu
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Penn Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA; Department of Medical Ethics and Health Policy, University of Pennsylvania, Philadelphia, PA
| | - Julia E Szymczak
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT
| | - Louise B Russell
- Penn Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Department of Medical Ethics and Health Policy, University of Pennsylvania, Philadelphia, PA
| | - Dylan S Small
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; The Wharton School, University of Pennsylvania, Philadelphia, PA
| | - Kevin G M Volpp
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Penn Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Department of Medical Ethics and Health Policy, University of Pennsylvania, Philadelphia, PA; The Wharton School, University of Pennsylvania, Philadelphia, PA
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9
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Patel MS, Volpp KG, Small DS, Kanter GP, Park SH, Evans CN, Polsky D. Using remotely monitored patient activity patterns after hospital discharge to predict 30 day hospital readmission: a randomized trial. Sci Rep 2023; 13:8258. [PMID: 37217585 DOI: 10.1038/s41598-023-35201-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 05/14/2023] [Indexed: 05/24/2023] Open
Abstract
Hospital readmission prediction models often perform poorly, but most only use information collected until the time of hospital discharge. In this clinical trial, we randomly assigned 500 patients discharged from hospital to home to use either a smartphone or wearable device to collect and transmit remote patient monitoring (RPM) data on activity patterns after hospital discharge. Analyses were conducted at the patient-day level using discrete-time survival analysis. Each arm was split into training and testing folds. The training set used fivefold cross-validation and then final model results are from predictions on the test set. A standard model comprised data collected up to the time of discharge including demographics, comorbidities, hospital length of stay, and vitals prior to discharge. An enhanced model consisted of the standard model plus RPM data. Traditional parametric regression models (logit and lasso) were compared to nonparametric machine learning approaches (random forest, gradient boosting, and ensemble). The main outcome was hospital readmission or death within 30 days of discharge. Prediction of 30-day hospital readmission significantly improved when including remotely-monitored patient data on activity patterns after hospital discharge and using nonparametric machine learning approaches. Wearables slightly outperformed smartphones but both had good prediction of 30-day hospital-readmission.
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Affiliation(s)
| | - Kevin G Volpp
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Wharton School, University of Pennsylvania, Philadelphia, PA, USA
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - Dylan S Small
- Wharton School, University of Pennsylvania, Philadelphia, PA, USA
| | - Genevieve P Kanter
- Sol Price School of Public Polocy, University of Southern California, Los Angeles, CA, USA
| | - Sae-Hwan Park
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Chalanda N Evans
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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10
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Abstract
Wearable devices, such as smartwatches and activity trackers, are commonly used by patients in their everyday lives to manage their health and well-being. These devices collect and analyze long-term continuous data on measures of behavioral or physiologic function, which may provide clinicians with a more comprehensive view of a patients' health compared with the traditional sporadic measures captured by office visits and hospitalizations. Wearable devices have a wide range of potential clinical applications ranging from arrhythmia screening of high-risk individuals to remote management of chronic conditions such as heart failure or peripheral artery disease. As the use of wearable devices continues to grow, we must adopt a multifaceted approach with collaboration among all key stakeholders to effectively and safely integrate these technologies into routine clinical practice. In this Review, we summarize the features of wearable devices and associated machine learning techniques. We describe key research studies that illustrate the role of wearable devices in the screening and management of cardiovascular conditions and identify directions for future research. Last, we highlight the challenges that are currently hindering the widespread use of wearable devices in cardiovascular medicine and provide short- and long-term solutions to promote increased use of wearable devices in clinical care.
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Affiliation(s)
- Andrew Hughes
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | | | - Hiral Master
- Vanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN
| | - Jessilyn Dunn
- Department of Biomedical Engineering, Duke University, Durham, NC
- Department of Biostatistics & Bioinformatics, Duke University, Durham, NC
| | - Evan Brittain
- Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN
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11
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Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial. NPJ Digit Med 2023; 6:4. [PMID: 36631665 PMCID: PMC9834206 DOI: 10.1038/s41746-022-00746-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 10/19/2022] [Indexed: 01/13/2023] Open
Abstract
Gamification, the application of gaming elements to increase enjoyment and engagement, has the potential to improve the effectiveness of digital health interventions, while the effectiveness of competition gamification components remains poorly understood on residency. To address this gap, we evaluate the effect of smartphone-based gamified team competition intervention on daily step count and sleep duration via a micro-randomized trial on medical interns. Our aim is to assess potential improvements in the factors (namely step count and sleep) that may help interns cope with stress and improve well-being. In 1779 interns, team competition intervention significantly increases the mean daily step count by 105.8 steps (SE 35.8, p = 0.03) relative to the no competition arm, while does not significantly affect the mean daily sleep minutes (p = 0.76). Moderator analyses indicate that the causal effects of competition on daily step count and sleep minutes decreased by 14.5 steps (SE 10.2, p = 0.16) and 1.9 minutes (SE 0.6, p = 0.003) for each additional week-in-study, respectively. Intra-institutional competition negatively moderates the causal effect of competition upon daily step count by -90.3 steps (SE 86.5, p = 0.30). Our results show that gamified team competition delivered via mobile app significantly increases daily physical activity which suggests that team competition can function as a mobile health intervention tool to increase short-term physical activity levels for medical interns. Future improvements in strategies of forming competition opponents and introducing occasional competition breaks may improve the overall effectiveness.
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12
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Paluch AE, Bajpai S, Ballin M, Bassett DR, Buford TW, Carnethon MR, Chernofsky A, Dooley EE, Ekelund U, Evenson KR, Galuska DA, Jefferis BJ, Kong L, Kraus WE, Larson MG, Lee IM, Matthews CE, Newton RL, Nordström A, Nordström P, Palta P, Patel AV, Pettee Gabriel K, Pieper CF, Pompeii L, Rees-Punia E, Spartano NL, Vasan RS, Whincup PH, Yang S, Fulton JE. Prospective Association of Daily Steps With Cardiovascular Disease: A Harmonized Meta-Analysis. Circulation 2023; 147:122-131. [PMID: 36537288 PMCID: PMC9839547 DOI: 10.1161/circulationaha.122.061288] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 10/20/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Taking fewer than the widely promoted "10 000 steps per day" has recently been associated with lower risk of all-cause mortality. The relationship of steps and cardiovascular disease (CVD) risk remains poorly described. A meta-analysis examining the dose-response relationship between steps per day and CVD can help inform clinical and public health guidelines. METHODS Eight prospective studies (20 152 adults [ie, ≥18 years of age]) were included with device-measured steps and participants followed for CVD events. Studies quantified steps per day and CVD events were defined as fatal and nonfatal coronary heart disease, stroke, and heart failure. Cox proportional hazards regression analyses were completed using study-specific quartiles and hazard ratios (HR) and 95% CI were meta-analyzed with inverse-variance-weighted random effects models. RESULTS The mean age of participants was 63.2±12.4 years and 52% were women. The mean follow-up was 6.2 years (123 209 person-years), with a total of 1523 CVD events (12.4 per 1000 participant-years) reported. There was a significant difference in the association of steps per day and CVD between older (ie, ≥60 years of age) and younger adults (ie, <60 years of age). For older adults, the HR for quartile 2 was 0.80 (95% CI, 0.69 to 0.93), 0.62 for quartile 3 (95% CI, 0.52 to 0.74), and 0.51 for quartile 4 (95% CI, 0.41 to 0.63) compared with the lowest quartile. For younger adults, the HR for quartile 2 was 0.79 (95% CI, 0.46 to 1.35), 0.90 for quartile 3 (95% CI, 0.64 to 1.25), and 0.95 for quartile 4 (95% CI, 0.61 to 1.48) compared with the lowest quartile. Restricted cubic splines demonstrated a nonlinear association whereby more steps were associated with decreased risk of CVD among older adults. CONCLUSIONS For older adults, taking more daily steps was associated with a progressively decreased risk of CVD. Monitoring and promoting steps per day is a simple metric for clinician-patient communication and population health to reduce the risk of CVD.
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Affiliation(s)
- Amanda E Paluch
- Department of Kinesiology, Institute for Applied Life Sciences, University of Massachusetts Amherst (A.E.P., S.B., L.K.)
| | - Shivangi Bajpai
- Department of Kinesiology, Institute for Applied Life Sciences, University of Massachusetts Amherst (A.E.P., S.B., L.K.)
| | - Marcel Ballin
- Departments of Community Medicine and Rehabilitation, Unit of Geriatric Medicine (M.B., A.N., P.N.), Umeå University, Sweden
| | - David R Bassett
- Department of Kinesiology, Recreation, and Sport Studies, University of Tennessee, Knoxville (D.R.B.), University of Alabama at Birmingham
| | - Thomas W Buford
- Departments of Medicine, Division of Gerontology/Geriatrics/Palliative Care (T.W.B.), University of Alabama at Birmingham
- Birmingham/Atlanta Geriatric Research, Education, and Clinical Center, Birmingham VA Medical Center, AL (T.W.B.)
| | - Mercedes R Carnethon
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (M.R.C.)
| | - Ariel Chernofsky
- Department of Biostatistics, Boston University, MA (A.C., M.G.L.)
| | - Erin E Dooley
- Epidemiology (E.E.D.' K.P.G.), University of Alabama at Birmingham
| | - Ulf Ekelund
- Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo (U.E.)
- Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo (U.E.)
| | - Kelly R Evenson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina Chapel Hill (K.R.E.)
| | - Deborah A Galuska
- Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA (D.A.G., J.E.F.)
| | - Barbara J Jefferis
- Department of Primary Care and Population Health, University College London Medical School, London, United Kingdom (B.J.J.)
| | - Lingsong Kong
- Department of Kinesiology, Institute for Applied Life Sciences, University of Massachusetts Amherst (A.E.P., S.B., L.K.)
| | - William E Kraus
- Duke Molecular Physiology Institute, Durham, NC (W.E.K.)
- Department of Medicine, Duke University, Durham, NC (W.E.K., C.F.P.)
| | - Martin G Larson
- Department of Biostatistics, Boston University, MA (A.C., M.G.L.)
| | - I-Min Lee
- Brigham and Women's Hospital, Harvard Medical School and Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA (I-M.L.)
| | - Charles E Matthews
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD (C.E.M.)
| | - Robert L Newton
- Pennington Biomedical Research Center, Baton Rouge, LA (R.L.N., S.Y.)
| | - Anna Nordström
- Departments of Community Medicine and Rehabilitation, Unit of Geriatric Medicine (M.B., A.N., P.N.), Umeå University, Sweden
- Public Health and Clinical Medicine, Section of Sustainable Health (A.N.), Umeå University, Sweden
- School of Sport Sciences, UiT The Arctic University of Norway, Tromsø (A.N.)
| | - Peter Nordström
- Departments of Community Medicine and Rehabilitation, Unit of Geriatric Medicine (M.B., A.N., P.N.), Umeå University, Sweden
| | - Priya Palta
- Department of Medicine, Columbia University, New York (P.P.)
| | - Alpa V Patel
- American Cancer Society, Population Science Department, Atlanta, GA (A.V.P., E.R-P.)
| | | | - Carl F Pieper
- Department of Medicine, Duke University, Durham, NC (W.E.K., C.F.P.)
| | - Lisa Pompeii
- Department of Pediatrics, Center for Epidemiology and Population Health, Baylor College of Medicine, Houston, TX (L.P.)
| | - Erika Rees-Punia
- American Cancer Society, Population Science Department, Atlanta, GA (A.V.P., E.R-P.)
| | - Nicole L Spartano
- Departments of Endocrinology, Diabetes, Nutrition and Weight Management (N.L.S.), Boston University School of Medicine, MA
| | - Ramachandran S Vasan
- Medicine and Epidemiology (R.S.V.), Boston University School of Medicine, MA
- Department of Medicine and Epidemiology, Boston University School of Public Health, MA (R.S.V.)
| | - Peter H Whincup
- Population Health Research Institute, St George's' University of London, United Kingdom (P.H.W.)
| | - Shengping Yang
- Pennington Biomedical Research Center, Baton Rouge, LA (R.L.N., S.Y.)
| | - Janet E Fulton
- Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA (D.A.G., J.E.F.)
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13
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Dadaczynski K, Tolks D, Wrona KJ, Mc Call T, Fischer F. The untapped potential of Games for Health in times of crises. A critical reflection. Front Public Health 2023; 11:1140665. [PMID: 36926167 PMCID: PMC10011143 DOI: 10.3389/fpubh.2023.1140665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 02/13/2023] [Indexed: 03/08/2023] Open
Abstract
Given its promising role in public health to address hard to reach population groups, game-based interventions (i.e., Games for Health, G4H) have experienced growing interest in recent years. Therefore, it is surprising that they have played only a minor role during the COVID-19 pandemic. Hence, the aim of this paper is to reflect the opportunities and challenges of G4H especially during the pandemic but also with regard to future health crises. As commercial video games (i.e., those that primarily aim to entertain its users) were often used to deal with the containment measures during the COVID-19 pandemic, we call for greater cooperation with commercial game makers to distribute health-related messages via entertainment games. With regard to G4H we see a need to (i) strengthen the intervention theory underlying game-based applications, (ii) to enhance the appeal of games in order to maintain the interest of users in the long term, and (iii) to improve the evidence base using appropriate study designs. Finally, we argue for (iv) greater user involvement, both in terms of developing game-based approaches and as co-researchers in solving complex health problems.
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Affiliation(s)
- Kevin Dadaczynski
- Department of Health Sciences, Fulda University of Applied Sciences, Fulda, Germany.,Center for Applied Health Sciences, Leuphana University Lüneburg, Lüneburg, Germany
| | - Daniel Tolks
- Center for Applied Health Sciences, Leuphana University Lüneburg, Lüneburg, Germany.,Department Pedagogy, Nursing and Health, Medical School Hamburg, Hamburg, Germany
| | - Kamil J Wrona
- Department of Engineering and Mathematic, Bielefeld University of Applied Sciences, Bielefeld, Germany.,Department of Health, Bielefeld University of Applied Sciences, Bielefeld, Germany
| | - Timothy Mc Call
- Medical School OWL, Bielefeld University, Bielefeld, Germany
| | - Florian Fischer
- Bavarian Research Center for Digital Health and Social Care, Kempten University of Applied Sciences, Kempten, Germany.,Institute of Public Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
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14
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Watanabe D, Yamada Y, Yoshida T, Watanabe Y, Hatamoto Y, Fujita H, Miyachi M, Kimura M. Association of the interaction between physical activity and sitting time with mortality in older Japanese adults. Scand J Med Sci Sports 2022; 32:1757-1767. [PMID: 36112073 PMCID: PMC9826454 DOI: 10.1111/sms.14234] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 08/04/2022] [Accepted: 09/12/2022] [Indexed: 01/11/2023]
Abstract
PURPOSE To examine how physical activity (PA) and sitting time (ST) are associated with mortality in older Japanese adults. METHODOLOGY We used the data of 10 233 older Japanese adults aged ≥65 years who provided valid responses to the International Physical Activity Questionnaire-Short Form (IPAQ-SF) by a mail survey. Both PA and ST were assessed using the IPAQ-SF. The results were classified into high or low categories using ≥3.0 metabolic equivalent PA (150 min/week) and ST (300 min/day) into the following four groups: High PA (HPA)/Low ST (LST), HPA/High ST (HST), Low PA (LPA)/LST, and LPA/HST. Mortality data were collected from July 30, 2011, to November 30, 2016. We assessed the interaction of PA and ST status with the risk of all-cause mortality using the multivariable Cox proportional-hazards model. RESULTS A total of 1014 people were recorded to have died during a median follow-up period of 5.3 years (51 553 person-years). After adjustment for confounders, the risk of mortality was higher in the LPA/HST group than in all other groups (HPA/LST: reference; HPA/HST group: hazard ratio [HR] 0.86 (95% confidence interval [CI]: 0.66 to 1.12); LPA/LST group: HR 1.09 (95% CI: 0.88 to 1.35); LPA/HST group: HR 1.36 (95% CI: 1.10 to 1.67); and multiplicative interaction: HR 1.44 (95% CI: 1.07 to 1.94)). CONCLUSIONS The risk of mortality associated with LPA/HST depends on the level of PA, duration of ST, and their interaction with each other. Our results may be useful in ameliorating the adverse effects leading to mortality in individuals with lower PA, by reducing ST.
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Affiliation(s)
- Daiki Watanabe
- Faculty of Sport SciencesWaseda UniversitySaitamaJapan,National Institute of Health and NutritionNational Institutes of Biomedical Innovation, Health and NutritionTokyoJapan,Institute of Interdisciplinary Research, Institute for Active HealthKyoto University of Advanced ScienceKyotoJapan
| | - Yosuke Yamada
- National Institute of Health and NutritionNational Institutes of Biomedical Innovation, Health and NutritionTokyoJapan,Institute of Interdisciplinary Research, Institute for Active HealthKyoto University of Advanced ScienceKyotoJapan
| | - Tsukasa Yoshida
- National Institute of Health and NutritionNational Institutes of Biomedical Innovation, Health and NutritionTokyoJapan,Institute of Interdisciplinary Research, Institute for Active HealthKyoto University of Advanced ScienceKyotoJapan,Senior Citizen's Welfare Section, Kameoka City GovernmentKyotoJapan
| | - Yuya Watanabe
- National Institute of Health and NutritionNational Institutes of Biomedical Innovation, Health and NutritionTokyoJapan,Institute of Interdisciplinary Research, Institute for Active HealthKyoto University of Advanced ScienceKyotoJapan,Physical Fitness Research InstituteMeiji Yasuda Life Foundation of Health and WelfareTokyoJapan
| | - Yoichi Hatamoto
- National Institute of Health and NutritionNational Institutes of Biomedical Innovation, Health and NutritionTokyoJapan
| | - Hiroyuki Fujita
- Institute of Interdisciplinary Research, Institute for Active HealthKyoto University of Advanced ScienceKyotoJapan
| | - Motohiko Miyachi
- Faculty of Sport SciencesWaseda UniversitySaitamaJapan,National Institute of Health and NutritionNational Institutes of Biomedical Innovation, Health and NutritionTokyoJapan
| | - Misaka Kimura
- Institute of Interdisciplinary Research, Institute for Active HealthKyoto University of Advanced ScienceKyotoJapan,Department of Nursing, Doshisha Women's College of Liberal ArtsKyotoJapan,Laboratory of Applied Health SciencesKyoto Prefectural University of MedicineKyotoJapan
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15
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Lewey J, Murphy S, Zhang D, Putt ME, Elovitz MA, Riis V, Patel MS, Levine LD. Effectiveness of a Text-Based Gamification Intervention to Improve Physical Activity Among Postpartum Individuals With Hypertensive Disorders of Pregnancy: A Randomized Clinical Trial. JAMA Cardiol 2022; 7:591-599. [PMID: 35442393 PMCID: PMC9021982 DOI: 10.1001/jamacardio.2022.0553] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Importance Hypertensive disorders of pregnancy are associated with increased risk of cardiovascular disease, yet few interventions have targeted this population to decrease long-term risk. Objective To determine whether a digital health intervention improves physical activity in postpartum individuals with hypertensive disorders of pregnancy. Design, Setting, and Participants This 12-week randomized clinical trial enrolled postpartum individuals who delivered at the University of Pennsylvania and had a hypertensive disorder of pregnancy between October 2019 and June 2020. Analysis was intention to treat. Interventions All participants received a wearable activity tracker, established a baseline step count, selected a step goal greater than baseline, and were randomly assigned to control or intervention. Participants in the control arm received daily feedback on goal attainment. Participants in the intervention arm were placed on virtual teams and enrolled in a game with points and levels for daily step goal achievement and informed by principles of behavioral economics. Main Outcomes and Measures The primary outcome was change in mean daily step count from baseline to 12-week follow-up. Secondary outcome was proportion of participant-days that step goal was achieved. Results A total of 127 participants were randomized (64 in the control group and 63 in the intervention group) and were enrolled a mean of 7.9 weeks post partum. Participants had a mean (SD) age of 32.3 (5.6) years, 70 (55.1%) were Black, and 52 (41.9%) had Medicaid insurance. The mean (SD) baseline step count was similar in the control and intervention arms (6042 [2270] vs 6175 [1920] steps, respectively). After adjustment for baseline steps and calendar month, participants in the intervention arm had a significantly greater increase in mean daily step steps from baseline compared with the control arm (647 steps; 95% CI, 169-1124 steps; P = .009). Compared with the control arm, participants in the intervention arm achieved their steps goals on a greater proportion of participant-days during the intervention period (0.47 vs 0.38; adjusted difference 0.11; 95% CI, 0.04-0.19; P = .003). Conclusions and Relevance In this study, a digital health intervention using remote monitoring, gamification, and social incentives among postpartum individuals at elevated cardiovascular risk significantly increased physical activity throughout 12 weeks. Trial Registration ClinicalTrials.gov Identifier: NCT03311230.
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Affiliation(s)
- Jennifer Lewey
- Division of Cardiology, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Samantha Murphy
- Maternal and Child Health Research Program, Department of Obstetrics & Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Dazheng Zhang
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Mary E. Putt
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Michal A. Elovitz
- Maternal and Child Health Research Program, Department of Obstetrics & Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Valerie Riis
- Maternal and Child Health Research Program, Department of Obstetrics & Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | | | - Lisa D. Levine
- Maternal and Child Health Research Program, Department of Obstetrics & Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia
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16
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Buttenheim AM, Thirumurthy H. Pay-for-performance incentives for health worker vaccination: looking under the hood. BMJ Qual Saf 2022; 31:623-626. [PMID: 35149601 DOI: 10.1136/bmjqs-2021-014269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/25/2022] [Indexed: 11/04/2022]
Affiliation(s)
- Alison M Buttenheim
- Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA .,Center for Health Incentives and Behavioral Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Harsha Thirumurthy
- Center for Health Incentives and Behavioral Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Department of Medical Ethics and Health Policy, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, Pennsylvania
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