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Zhang Y, Wang X, Pathiravasan CH, Spartano NL, Lin H, Borrelli B, Benjamin EJ, McManus DD, Larson MG, Vasan RS, Shah RV, Lewis GD, Liu C, Murabito JM, Nayor M. Association of Smartwatch-Based Heart Rate and Physical Activity With Cardiorespiratory Fitness Measures in the Community: Cohort Study. J Med Internet Res 2024; 26:e56676. [PMID: 38870519 DOI: 10.2196/56676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 03/11/2024] [Accepted: 03/20/2024] [Indexed: 06/15/2024] Open
Abstract
BACKGROUND Resting heart rate (HR) and routine physical activity are associated with cardiorespiratory fitness levels. Commercial smartwatches permit remote HR monitoring and step count recording in real-world settings over long periods of time, but the relationship between smartwatch-measured HR and daily steps to cardiorespiratory fitness remains incompletely characterized in the community. OBJECTIVE This study aimed to examine the association of nonactive HR and daily steps measured by a smartwatch with a multidimensional fitness assessment via cardiopulmonary exercise testing (CPET) among participants in the electronic Framingham Heart Study. METHODS Electronic Framingham Heart Study participants were enrolled in a research examination (2016-2019) and provided with a study smartwatch that collected longitudinal HR and physical activity data for up to 3 years. At the same examination, the participants underwent CPET on a cycle ergometer. Multivariable linear models were used to test the association of CPET indices with nonactive HR and daily steps from the smartwatch. RESULTS We included 662 participants (mean age 53, SD 9 years; n=391, 59% women, n=599, 91% White; mean nonactive HR 73, SD 6 beats per minute) with a median of 1836 (IQR 889-3559) HR records and a median of 128 (IQR 65-227) watch-wearing days for each individual. In multivariable-adjusted models, lower nonactive HR and higher daily steps were associated with higher peak oxygen uptake (VO2), % predicted peak VO2, and VO2 at the ventilatory anaerobic threshold, with false discovery rate (FDR)-adjusted P values <.001 for all. Reductions of 2.4 beats per minute in nonactive HR, or increases of nearly 1000 daily steps, corresponded to a 1.3 mL/kg/min higher peak VO2. In addition, ventilatory efficiency (VE/VCO2; FDR-adjusted P=.009), % predicted maximum HR (FDR-adjusted P<.001), and systolic blood pressure-to-workload slope (FDR-adjusted P=.01) were associated with nonactive HR but not associated with daily steps. CONCLUSIONS Our findings suggest that smartwatch-based assessments are associated with a broad array of cardiorespiratory fitness responses in the community, including measures of global fitness (peak VO2), ventilatory efficiency, and blood pressure response to exercise. Metrics captured by wearable devices offer a valuable opportunity to use extensive data on health factors and behaviors to provide a window into individual cardiovascular fitness levels.
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Affiliation(s)
- Yuankai Zhang
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, United States
| | - Xuzhi Wang
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, United States
| | | | - Nicole L Spartano
- Section of Endocrinology, Diabetes, Nutrition, and Weight Management, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
| | - Honghuang Lin
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Belinda Borrelli
- Center for Behavioral Science Research, Department of Health Policy & Health Services Research, Boston University, Henry M. Goldman School of Dental Medicine, Boston, MA, United States
| | - Emelia J Benjamin
- Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States
- Section of Preventive Medicine and Epidemiology and Cardiovascular Medicine, Departments of Medicine and Epidemiology, Boston University Chobanian & Avedisian School of Medicine and School of Public Health, Boston, MA, United States
| | - David D McManus
- Cardiology Division, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States
- Department of Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Martin G Larson
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, United States
- Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States
| | - Ramachandran S Vasan
- Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States
- Section of Preventive Medicine and Epidemiology and Cardiovascular Medicine, Departments of Medicine and Epidemiology, Boston University Chobanian & Avedisian School of Medicine and School of Public Health, Boston, MA, United States
| | - Ravi V Shah
- Cardiology Division, Vanderbilt Translational and Clinical Research Center, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Gregory D Lewis
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Pulmonary Critical Care Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Chunyu Liu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, United States
| | - Joanne M Murabito
- Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States
- Section of General Internal Medicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
| | - Matthew Nayor
- Sections of Cardiology and Preventive Medicine and Epidemiology, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
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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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3
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Grech EM, Briguglio M, Said E. Protocol for a randomised controlled field experiment on the effect of different gamification designs of physical activity. MethodsX 2024; 12:102551. [PMID: 38299038 PMCID: PMC10828797 DOI: 10.1016/j.mex.2024.102551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 01/04/2024] [Indexed: 02/02/2024] Open
Abstract
Gamification is finding growing application in the field of physical activity, promising engaging and motivating experiences that foster behavioural change. However, existing empirical work has insufficiently scrutinised whether the reported positive outcomes emerge because of gamification and what type of gamification design leads to optimal results. This protocol for a parallel four-arm randomised controlled field experiment was purposely designed to investigate the effect of different gamification designs on motivation, perceived usefulness, and the intended behavioural change in physical activity (increase in step counts). Participants were randomly assigned to either: 1) a competitive gamified group; 2) a cooperative gamified group; 3) a hybrid (competitive-cooperative) gamified group; or 4) a control group. The design of the gamified interventions was guided by gamification design frameworks identified in literature. The data gathered includes: 1) a longitudinal panel dataset of step counts to investigate the causal effect of gamification on physical activity behaviour; and 2) self-reported data to examine the effect of gamification on the users' intrinsic motivation and perceived usefulness of the experience. This protocol outlines the procedure and processes followed during this experiment to facilitate replicability for future studies.
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John JC, Ho J, Raber M, Basen-Engquist K, Jacobson L, Strong LL. Dyad and group-based interventions in physical activity, diet, and weight loss: a systematic review of the evidence. J Behav Med 2024; 47:355-373. [PMID: 38017250 DOI: 10.1007/s10865-023-00457-z] [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: 04/25/2023] [Accepted: 10/16/2023] [Indexed: 11/30/2023]
Abstract
Studies show that interpersonal relations impact behavior change. Yet, a comprehensive review of their efficacy remains unclear. This systematic review examines the efficacy of dyadic and group-based studies that intervened on primary endpoints: diet, PA, and weight loss in adults and their networks. We searched five databases for eligible articles published from 1980 to present. Final inclusion and risk of bias were independently determined and agreed upon by two of the paper's co-authors. Nine dyads and twelve group-based studies were eligible. Of the studies, 36% (4/11) of PA studies, 60% (3/5) of diet studies and 57% (8/14) of studies with weight loss as primary outcomes, reported significant findings. Compared to dyadic interventions, a greater proportion of group-based interventions demonstrated efficacy in PA gain and weight loss as outcomes. Approximately 43% of studies demonstrated low to moderate methodological quality. This systematic review synthesized the evidence of dyadic and group studies that intervened on PA, diet, and weight in adults from the same network. Moderately-high risk of bias and lack of diverse representation restricts inferences around efficacy. High-quality rigorous research is needed to understand the efficacy of dyadic and group-based interventions in addressing these co-occurring endpoints of interest.
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Affiliation(s)
- J C John
- The University of Texas Health Science Center at Houston School of Public Health, Houston, TX, 77030, USA.
- Health Disparities Department, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - J Ho
- Rice University, Houston, TX, USA
| | - M Raber
- Baylor College of Medicine, Houston, TX, USA
| | - K Basen-Engquist
- Health Disparities Department, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - L Jacobson
- School of Medicine, University of Kansas, Wichita, KS, USA
| | - L L Strong
- Health Disparities Department, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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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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Kim G, Kim S, Lee YB, Jin SM, Hur KY, Kim JH. A randomized controlled trial of an app-based intervention on physical activity and glycemic control in people with type 2 diabetes. BMC Med 2024; 22:185. [PMID: 38693528 PMCID: PMC11064293 DOI: 10.1186/s12916-024-03408-w] [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: 06/14/2023] [Accepted: 04/26/2024] [Indexed: 05/03/2024] Open
Abstract
BACKGROUND We investigated the effects of a physical activity encouragement intervention based on a smartphone personal health record (PHR) application (app) on step count increases, glycemic control, and body weight in patients with type 2 diabetes (T2D). METHODS In this 12-week, single-center, randomized controlled, 12-week extension study, patients with T2D who were overweight or obese were randomized using ratio 1:2 to a group using a smartphone PHR app (control group) or group using the app and received individualized motivational text messages (intervention group) for 12 weeks. During the extension period, the sending of the encouraging text messages to the intervention group was discontinued. The primary outcome was a change in daily step count after 12 weeks and analyzed by independent t-test. The secondary outcomes included HbA1c, fasting glucose, and body weight analyzed by paired or independent t-test. RESULTS Of 200 participants, 62 (93.9%) and 118 (88.1%) in the control and intervention group, respectively, completed the 12-week main study. The change in daily step count from baseline to week 12 was not significantly different between the two groups (P = 0.365). Among participants with baseline step counts < 7,500 steps per day, the change in the mean daily step count at week 12 in the intervention group (1,319 ± 3,020) was significantly larger than that in control group (-139 ± 2,309) (P = 0.009). At week 12, HbA1c in the intervention group (6.7 ± 0.5%) was significantly lower than that in control group (6.9 ± 0.6%, P = 0.041) and at week 24, changes in HbA1c from baseline were significant in both groups but, comparable between groups. Decrease in HbA1c from baseline to week 12 of intervention group was greater in participants with baseline HbA1c ≥ 7.5% (-0.81 ± 0.84%) compared with those with baseline HbA1c < 7.5% (-0.22 ± 0.39%) (P for interaction = 0.014). A significant reduction in body weight from baseline to week 24 was observed in both groups without significant between-group differences (P = 0.370). CONCLUSIONS App-based individualized motivational intervention for physical activity did not increase daily step count from baseline to week 12, and the changes in HbA1c levels from baseline to week 12 were comparable. TRIAL REGISTRATION ClinicalTrials.gov (NCT03407222).
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Affiliation(s)
- Gyuri Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81, Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea
| | - Seohyun Kim
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, 06355, Republic of Korea
| | - You-Bin Lee
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81, Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81, Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea
| | - Kyu Yeon Hur
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81, Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81, Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea.
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, 06355, Republic of Korea.
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7
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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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8
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Knight RL, Chalabaev A, Mackintosh KA, McNarry MA, Hudson J. Moving together: Increasing physical activity in older adults with an intergenerational technology-based intervention. A feasibility study. PLoS One 2024; 19:e0301279. [PMID: 38536850 PMCID: PMC10971589 DOI: 10.1371/journal.pone.0301279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 03/12/2024] [Indexed: 05/01/2024] Open
Abstract
Robust evidence supports the role of physical activity and exercise in increasing longevity, decreasing morbidity and helping older adults maintain the highest quality of life attainable. However, the majority of older adults are not sufficiently physically active and interventions are needed to change their behaviors. Familial or intergenerational contact has been positively linked to health and well-being in older adults. Therefore, this study aimed to i) establish acceptability and test the functionality and useability of a novel technology-driven intergenerational intervention targeting physical activity and age stereotypes, and ii) identify any potential issues with recruitment and retention. Four familial dyads (adult ≥ 65 and child 7-11 years) engaged with the intervention. Working collaboratively during a four-week trial, they combined daily step-counts (acquired via any activity of their choice, using PA trackers) to complete a virtual walk route using online platform World Walking. Thematic analysis of three post-intervention focus groups (one older adult; one child; one additional parental cohort) identified eight subthemes: Engagement; Provision of a Positive Experience; Participant Stimuli; Generated Outcomes; Operationality; Limitations; Mediators; Facilitators, and Perceptions. Participants enjoyed and successfully engaged with the intervention; when designing behaviour change interventions for older adults, flexibility within pre-established routines, individual choice, and avoiding rigidly imposed structures, is important. Strategies to challenge negative perceptions of older adults' engagement with technology and PA should be integrated into recruitment processes.
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Affiliation(s)
- Rachel L. Knight
- Applied Sports, Technology, Exercise and Medicine Research Centre, Faculty of Science and Engineering, Swansea University, Swansea, United Kingdom
- SENS, Univ. Grenoble Alpes, Grenoble, France
| | | | - Kelly A. Mackintosh
- Applied Sports, Technology, Exercise and Medicine Research Centre, Faculty of Science and Engineering, Swansea University, Swansea, United Kingdom
| | - Melitta A. McNarry
- Applied Sports, Technology, Exercise and Medicine Research Centre, Faculty of Science and Engineering, Swansea University, Swansea, United Kingdom
| | - Joanne Hudson
- Applied Sports, Technology, Exercise and Medicine Research Centre, Faculty of Science and Engineering, Swansea University, Swansea, United Kingdom
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9
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Robinson CL, D'Souza RS, Yazdi C, Diejomaoh EM, Schatman ME, Emerick T, Orhurhu V. Reviewing the Potential Role of Artificial Intelligence in Delivering Personalized and Interactive Pain Medicine Education for Chronic Pain Patients. J Pain Res 2024; 17:923-929. [PMID: 38464902 PMCID: PMC10924768 DOI: 10.2147/jpr.s439452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 02/18/2024] [Indexed: 03/12/2024] Open
Abstract
The integration of artificial intelligence (AI) in patient pain medicine education has the potential to revolutionize pain management. By harnessing the power of AI, patient education becomes more personalized, interactive, and supportive, empowering patients to understand their pain, make informed decisions, and actively participate in their pain management journey. AI tailors the educational content to individual patients' needs, providing personalized recommendations. It introduces interactive elements through chatbots and virtual assistants, enhancing engagement and motivation. AI-powered platforms improve accessibility by providing easy access to educational resources and adapting content to diverse patient populations. Future AI applications in pain management include explaining pain mechanisms, treatment options, predicting outcomes based on individualized patient-specific factors, and supporting monitoring and adherence. Though the literature on AI in pain medicine and its applications are scarce yet growing, we propose avenues where AI may be applied and review the potential applications of AI in pain management education. Additionally, we address ethical considerations, patient empowerment, and accessibility barriers.
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Affiliation(s)
- Christopher L Robinson
- Department of Anesthesiology, Critical Care, and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Ryan S D'Souza
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic Rochester, Rochester, Minnesota, USA
| | - Cyrus Yazdi
- Department of Anesthesiology, Critical Care, and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Efemena M Diejomaoh
- Department of Psychiatry & Behavioral Science, Meharry Medical College, Nashville, TN, USA
| | - Michael E Schatman
- Department of Anesthesiology, Perioperative Care, and Pain Medicine, NYU Grossman School of Medicine, New York, NY, USA
- Department of Population Health-Division of Medical Ethics, NYU Grossman School of Medicine, New York, NY, USA
| | - Trent Emerick
- Department of Anesthesiology and Perioperative Medicine, Chronic Pain Division, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Vwaire Orhurhu
- University of Pittsburgh Medical Center, Susquehanna, Williamsport, PA, USA
- MVM Health, East Stroudsburg, PA, USA
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10
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Scheffey K, Avelis J, Patel M, Oon AL, Evans C, Glanz K. Use of Community Engagement Studios to Adapt a Hybrid Effectiveness-Implementation Study of Social Incentives and Physical Activity for the STEP Together Study. Health Promot Pract 2024; 25:285-292. [PMID: 35899691 PMCID: PMC10183149 DOI: 10.1177/15248399221113863] [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] [Indexed: 11/16/2022]
Abstract
Physical activity is known to contribute to good health, but most adults in the United States do not meet recommended physical activity guidelines. Social incentive interventions that leverage insights from behavioral economics have increased physical activity in short-term trials, but there is limited evidence of their effectiveness in community settings or their long-term effectiveness. The STEP Together study is a Hybrid Type 1 effectiveness-implementation study to address these evidence and implementation gaps. This paper describes the process of adapting study procedures prior to the effectiveness trial using Community Engagement (CE) Studios, facilitated meetings during which community members provide feedback on research projects. Six CE Studios were held with community members from the priority population. They were conducted remotely because of the COVID-19 pandemic. Fifteen liaisons representing 13 community organizations and 21 community members from different neighborhoods in Philadelphia participated. Three elements of the study design were modified based on feedback from the CE Studios: lowering the age requirement for an 'older adult', clarifying the definition of family members to include second-degree relatives, and adding a 6-month survey. These adaptations will improve the fit of the effectiveness trial to the local context and improve participant engagement and retention. CE Studios can be used to adapt intervention strategies and other aspects of study design during hybrid implementation-effectiveness trials. This approach was successfully used with remote online participation due to the COVID-19 pandemic and serves as a model for future community-engaged implementation research.
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Affiliation(s)
| | - Jade Avelis
- University of Pennsylvania, Philadelphia, PA, USA
| | - Mitesh Patel
- University of Pennsylvania, Philadelphia, PA, USA
- Ascension Health, St. Louis, MO, USA
| | - Ai Leen Oon
- University of Pennsylvania, Philadelphia, PA, USA
| | | | - Karen Glanz
- University of Pennsylvania, Philadelphia, PA, USA
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11
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Parks EP, Allison KC, Bruton Y, Khalil T, Mitchell JA. Gamification to Promote Physical Activity in Youth and Mothers With Obesity. Pediatr Exerc Sci 2024:1-8. [PMID: 38307006 DOI: 10.1123/pes.2023-0053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 11/08/2023] [Accepted: 11/27/2023] [Indexed: 02/04/2024]
Abstract
PURPOSE Physical inactivity and sugar-sweetened beverage (SSB) consumption are associated with obesity. Gamification and self-monitoring to promote physical activity in youth is unknown, but evidence of effectiveness is present in adults. This study examined the effects of a gamification intervention on increased steps per day among parent-adolescent dyads with obesity compared with digital self-monitoring and if self-monitored SSB intake differed between these arms. METHODS Youth ages 10-16 years and their mothers (N = 39 pairs), both with obesity, were randomized to a self-monitoring (N = 18) or a self-monitoring plus gamification arm (N = 21) for 9 weeks. The step goal was set and incrementally increased each week and was measured with Fitbit devices. Mixed effects linear regression examined changes in steps and SSB consumption per day, per week by study arm. RESULTS During run-in, mothers averaged 8317 and youth 7508 steps per day. Compared with self-monitoring alone, gamification did not increase daily steps in mothers or youth beyond baseline levels. On average, SSB intake decreased in mothers by approximately 0.5 servings per day; occurred in both arms and persisted throughout the intervention. CONCLUSION Gamification did not promote physical activity levels in mother-youth dyads with obesity. SSB intake declined in mothers with obesity in both study arms.
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Affiliation(s)
- Elizabeth Prout Parks
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA,USA
- Division of Gastroenterology, Hepatology and Nutrition, The Children's Hospital of Philadelphia, Philadelphia, PA,USA
- The Healthy Weight Program, The Children's Hospital of Philadelphia, Philadelphia, PA,USA
| | - Kelly C Allison
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA,USA
| | - Yasmeen Bruton
- Division of Gastroenterology, Hepatology and Nutrition, The Children's Hospital of Philadelphia, Philadelphia, PA,USA
| | - Timothy Khalil
- Division of Gastroenterology, Hepatology and Nutrition, The Children's Hospital of Philadelphia, Philadelphia, PA,USA
- The Healthy Weight Program, The Children's Hospital of Philadelphia, Philadelphia, PA,USA
| | - Jonathan A Mitchell
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA,USA
- Division of Gastroenterology, Hepatology and Nutrition, The Children's Hospital of Philadelphia, Philadelphia, PA,USA
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12
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Suzuki T, Rewley J, Sugibuchi K, Suzuki Y, Suzumura S, Tsurugi N, Okamura D, Node K, Mizuno A. Feedbacks Using behaviOral econOmic theories on STEP countS in Cardiovascular Disease Patients (FOOTSTEPS) Using Novel Daily Step Counts Retrieving System. Int Heart J 2024; 65:100-108. [PMID: 38296562 DOI: 10.1536/ihj.23-415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2024]
Abstract
The effectiveness of gamification-based feedback systems that utilize non-monetary points to promote exercise among cardiovascular disease (CVD) patients has not been fully evaluated. This study aimed to evaluate the effectiveness of a gamification program using non-monetary points on the daily step counts in CVD patients. We collected 30 patients with a history of heart failure or myocardial infarction at a single tertiary center between January 9, 2023, and April 13, 2023. The primary outcome was the change in daily step counts. The baseline step counts were compared with those during the 4-week gamification and the 1-week follow-up period. A total of 29 participants with a mean age of 64.6 years were finally enrolled, and 8 (27.6%) were female. Among them, 23 (79.3%) had a history of old myocardial infarction, and 9 (31.0%) had a history of chronic heart failure. During the intervention period, the average daily step counts increased significantly from baseline in weeks 1-5 (week 1: 1165 steps; 95% CI, 319-2011; P = 0.009, week 2: 1508; 635-2382; P = 0.001, week 3: 1321; 646-1996; P < 0.001, week 4: 1436; 791-2081; P < 0.001, week 5:1148; 436-1860; P < 0.001). Higher body mass index was statistically associated with the smaller difference in step counts from the baseline, and the lower proportion of achievement of step count goals. Female sex was significantly associated with the higher proportion of achievement of step count goals. In conclusion, this pilot prospective interventional study demonstrated the effectiveness of gamification-based feedback systems that utilize non-monetary points to increase daily step counts in CVD patients.
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Affiliation(s)
- Takahiro Suzuki
- Department of Cardiovascular Medicine, St. Luke's International Hospital
| | | | | | - Yoko Suzuki
- Cardiovascular Nursing, St. Luke's International Hospital
| | | | - Nanami Tsurugi
- Department of Rehabilitation, St. Luke's International Hospital
| | - Daisuke Okamura
- Department of Rehabilitation, St. Luke's International Hospital
| | - Koichi Node
- Department of Cardiovascular Medicine, Saga University
| | - Atsushi Mizuno
- Department of Cardiovascular Medicine, St. Luke's International Hospital
- Leonard Davis Institute for Health Economics, University of Pennsylvania
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13
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Parikh RB, Schriver E, Ferrell WJ, Wakim J, Williamson J, Khan N, Kopinsky M, Balachandran M, Gabriel PE, Schuchter LM, Patel MS, Shulman LN, Manz CR. Remote Patient-Reported Outcomes and Activity Monitoring to Improve Patient-Clinician Communication Regarding Symptoms and Functional Status: A Randomized Controlled Trial. JCO Oncol Pract 2023; 19:1143-1151. [PMID: 37816198 PMCID: PMC10732505 DOI: 10.1200/op.23.00048] [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: 01/24/2023] [Revised: 06/08/2023] [Accepted: 08/29/2023] [Indexed: 10/12/2023] Open
Abstract
PURPOSE Routine collection of patient-generated health data (PGHD) may promote earlier recognition of symptomatic and functional decline. This trial assessed the impact of an intervention integrating remote PGHD collection with patient nudges on symptom and functional status understanding between patients with advanced cancer and their oncology team. METHODS This three-arm randomized controlled trial was conducted from November 19, 2020, to December 17, 2021, at a large tertiary oncology practice. We enrolled patients with stage IV GI and lung cancers undergoing chemotherapy. Over 6 months, patients in two intervention arms received PROStep-weekly text message-based symptom surveys and passive activity monitoring using a wearable accelerometer. PGHD were summarized in dashboards given to patients' oncology team before appointments. One intervention arm received an additional text-based active choice prompt to discuss worsening symptoms or functional status with their clinician. Control patients did not receive PROStep. The coprimary outcomes patient perceptions of oncology team symptom and functional understanding at 6 months were measured on a 1-5 Likert scale (5 = high understanding). RESULTS One hundred eight patients enrolled: 55% male, 81% White, and 77% had GI cancers. Patient-reported clinician understanding did not differ between control and intervention arms for symptoms (4.5 v 4.5; P = .87) or functional status (4.5 v 4.3; P = .31). In the intervention arms, combined patient adherence to weekly symptom reports and daily activity monitoring was 64% and 53%, respectively. Intervention patients in the PROStep versus PROStep + active choice arms reported low burden from wearing the accelerometer (mean burden [standard deviation], 2.7 [1.3] v 2.1 [1.3]; P = .15) and completing surveys (2.1 [1.2] v 1.9 [1.3]; P = .44). CONCLUSION Patients receiving PROStep reported high understanding of symptoms and functional status from their oncology team, although this did not differ from controls.
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Affiliation(s)
- Ravi B. Parikh
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
- Leonard Davis Institute for Health Economics, University of Pennsylvania, Philadelphia, PA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Emily Schriver
- Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA
- Penn Medicine Predictive Healthcare, University of Pennsylvania Health System, Philadelphia, PA
| | - William J. Ferrell
- Leonard Davis Institute for Health Economics, University of Pennsylvania, Philadelphia, PA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Jonathan Wakim
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Joelle Williamson
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Neda Khan
- Leonard Davis Institute for Health Economics, University of Pennsylvania, Philadelphia, PA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Center for Health Care Innovation, Penn Medicine, Philadelphia, PA
| | - Michael Kopinsky
- Center for Health Care Innovation, Penn Medicine, Philadelphia, PA
| | | | - Peter E. Gabriel
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | - Lynn M. Schuchter
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA
| | | | | | - Christopher R. Manz
- Division of Population Sciences, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Harvard University, Boston, MA
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14
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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: 0] [Impact Index Per Article: 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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Pelly ML, Fatehi F, Liew D, Verdejo-Garcia A. Digital Health Secondary Prevention Using Co-Design Procedures: Focus Group Study With Health Care Providers and Patients With Myocardial Infarction. JMIR Cardio 2023; 7:e49892. [PMID: 37902821 PMCID: PMC10644192 DOI: 10.2196/49892] [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: 06/12/2023] [Revised: 08/21/2023] [Accepted: 08/23/2023] [Indexed: 10/31/2023] Open
Abstract
BACKGROUND Myocardial infarction (MI) is a debilitating condition and a leading cause of morbidity and mortality worldwide. Digital health is a promising approach for delivering secondary prevention to support patients with a history of MI and for reducing risk factors that can lead to a future event. However, its potential can only be fulfilled when the technology meets the needs of the end users who will be interacting with this secondary prevention. OBJECTIVE We aimed to gauge the opinions of patients with a history of MI and health professionals concerning the functions, features, and characteristics of a digital health solution to support post-MI care. METHODS Our approach aligned with the gold standard participatory co-design procedures enabling progressive refinement of feedback via exploratory, confirmatory, and prototype-assisted feedback from participants. Patients with a history of MI and health professionals from Australia attended focus groups over a videoconference system. We engaged with 38 participants across 3 rounds of focus groups using an iterative co-design approach. Round 1 included 8 participants (4 patients and 4 health professionals), round 2 included 24 participants (11 patients and 13 health professionals), and round 3 included 22 participants (14 patients and 8 health professionals). RESULTS Participants highlighted the potential of digital health in addressing the unmet needs of post-MI care. Both patients with a history of MI and health professionals agreed that mental health is a key concern in post-MI care that requires further support. Participants agreed that family members can be used to support postdischarge care and require support from the health care team. Participants agreed that incorporating simple games with a points system can increase long-term engagement. However, patients with a history of MI emphasized a lack of support from their health care team, family, and community more strongly than health professionals. They also expressed some openness to using artificial intelligence, whereas health professionals expressed that users should not be aware of artificial intelligence use. CONCLUSIONS These results provide valuable insights into the development of digital health secondary preventions aimed at supporting patients with a history of MI. Future research can implement a pilot study in the population with MI to trial these recommendations in a real-world setting.
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Affiliation(s)
- Melissa Louise Pelly
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Farhad Fatehi
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Danny Liew
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Antonio Verdejo-Garcia
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia
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Javed A, Kim DS, Hershman SG, Shcherbina A, Johnson A, Tolas A, O’Sullivan JW, McConnell MV, Lazzeroni L, King AC, Christle JW, Oppezzo M, Mattsson CM, Harrington RA, Wheeler MT, Ashley EA. Personalized digital behaviour interventions increase short-term physical activity: a randomized control crossover trial substudy of the MyHeart Counts Cardiovascular Health Study. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2023; 4:411-419. [PMID: 37794870 PMCID: PMC10545510 DOI: 10.1093/ehjdh/ztad047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 07/27/2023] [Indexed: 10/06/2023]
Abstract
Aims Physical activity is associated with decreased incidence of the chronic diseases associated with aging. We previously demonstrated that digital interventions delivered through a smartphone app can increase short-term physical activity. Methods and results We offered enrolment to community-living iPhone-using adults aged ≥18 years in the USA, UK, and Hong Kong who downloaded the MyHeart Counts app. After completion of a 1-week baseline period, e-consented participants were randomized to four 7-day interventions. Interventions consisted of: (i) daily personalized e-coaching based on the individual's baseline activity patterns, (ii) daily prompts to complete 10 000 steps, (iii) hourly prompts to stand following inactivity, and (iv) daily instructions to read guidelines from the American Heart Association (AHA) website. After completion of one 7-day intervention, participants subsequently randomized to the next intervention of the crossover trial. The trial was completed in a free-living setting, where neither the participants nor investigators were blinded to the intervention. The primary outcome was change in mean daily step count from baseline for each of the four interventions, assessed in a modified intention-to-treat analysis (modified in that participants had to complete 7 days of baseline monitoring and at least 1 day of an intervention to be included in analyses). This trial is registered with ClinicalTrials.gov, NCT03090321. Conclusion Between 1 January 2017 and 1 April 2022, 4500 participants consented to enrol in the trial (a subset of the approximately 50 000 participants in the larger MyHeart Counts study), of whom 2458 completed 7 days of baseline monitoring (mean daily steps 4232 ± 73) and at least 1 day of one of the four interventions. Personalized e-coaching prompts, tailored to an individual based on their baseline activity, increased step count significantly (+402 ± 71 steps from baseline, P = 7.1⨯10-8). Hourly stand prompts (+292 steps from baseline, P = 0.00029) and a daily prompt to read AHA guidelines (+215 steps from baseline, P = 0.021) were significantly associated with increased mean daily step count, while a daily reminder to complete 10 000 steps was not (+170 steps from baseline, P = 0.11). Digital studies have a significant advantage over traditional clinical trials in that they can continuously recruit participants in a cost-effective manner, allowing for new insights provided by increased statistical power and refinement of prior signals. Here, we present a novel finding that digital interventions tailored to an individual are effective in increasing short-term physical activity in a free-living cohort. These data suggest that participants are more likely to react positively and increase their physical activity when prompts are personalized. Further studies are needed to determine the effects of digital interventions on long-term outcomes.
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Affiliation(s)
- Ali Javed
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Daniel Seung Kim
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Steven G Hershman
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Biofourmis, Boston, MA, USA
| | - Anna Shcherbina
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Anders Johnson
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Alexander Tolas
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Jack W O’Sullivan
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Michael V McConnell
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- identifeye HEALTH, Redwood City, CA, USA
| | - Laura Lazzeroni
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Abby C King
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Health Research and Policy, Stanford University, Stanford, CA, USA
- Department of Medicine, Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, USA
| | - Jeffrey W Christle
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Marily Oppezzo
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - C Mikael Mattsson
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Robert A Harrington
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Matthew T Wheeler
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA 94305, USA
| | - Euan A Ashley
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA 94305, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
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17
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Wang X, Pathiravasan CH, Zhang Y, Trinquart L, Borrelli B, Spartano NL, Lin H, Nowak C, Kheterpal V, Benjamin EJ, McManus DD, Murabito JM, Liu C. Association of Depressive Symptom Trajectory With Physical Activity Collected by mHealth Devices in the Electronic Framingham Heart Study: Cohort Study. JMIR Ment Health 2023; 10:e44529. [PMID: 37450333 PMCID: PMC10382951 DOI: 10.2196/44529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 06/02/2023] [Accepted: 06/05/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND Few studies have examined the association between depressive symptom trajectories and physical activity collected by mobile health (mHealth) devices. OBJECTIVE We aimed to investigate if antecedent depressive symptom trajectories predict subsequent physical activity among participants in the electronic Framingham Heart Study (eFHS). METHODS We performed group-based multi-trajectory modeling to construct depressive symptom trajectory groups using both depressive symptoms (Center for Epidemiological Studies-Depression [CES-D] scores) and antidepressant medication use in eFHS participants who attended 3 Framingham Heart Study research exams over 14 years. At the third exam, eFHS participants were instructed to use a smartphone app for submitting physical activity index (PAI) surveys. In addition, they were provided with a study smartwatch to track their daily step counts. We performed linear mixed models to examine the association between depressive symptom trajectories and physical activity including app-based PAI and smartwatch-collected step counts over a 1-year follow-up adjusting for age, sex, wear hour, BMI, smoking status, and other health variables. RESULTS We identified 3 depressive symptom trajectory groups from 722 eFHS participants (mean age 53, SD 8.5 years; n=432, 60% women). The low symptom group (n=570; mean follow-up 287, SD 109 days) consisted of participants with consistently low CES-D scores, and a small proportion reported antidepressant use. The moderate symptom group (n=71; mean follow-up 280, SD 118 days) included participants with intermediate CES-D scores, who showed the highest and increasing likelihood of reporting antidepressant use across 3 exams. The high symptom group (n=81; mean follow-up 252, SD 116 days) comprised participants with the highest CES-D scores, and the proportion of antidepressant use fell between the other 2 groups. Compared to the low symptom group, the high symptom group had decreased PAI (mean difference -1.09, 95% CI -2.16 to -0.01) and the moderate symptom group walked fewer daily steps (823 fewer, 95% CI -1421 to -226) during the 1-year follow-up. CONCLUSIONS Antecedent depressive symptoms or antidepressant medication use was associated with lower subsequent physical activity collected by mHealth devices in eFHS. Future investigation of interventions to improve mood including via mHealth technologies to help promote people's daily physical activity is needed.
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Affiliation(s)
- Xuzhi Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States
| | | | - Yuankai Zhang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States
| | - Ludovic Trinquart
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States
- Tufts Clinical and Translational Science Institute, Tufts University, Boston, MA, United States
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, United States
| | - Belinda Borrelli
- Center for Behavioral Science Research, Boston University Henry M Goldman School of Dental Medicine, Boston, MA, United States
| | - Nicole L Spartano
- Section of Endocrinology, Diabetes, Nutrition, and Weight Management, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, United States
| | - Honghuang Lin
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | | | | | - Emelia J Benjamin
- Section of Preventive Medicine and Epidemiology and Cardiovascular Medicine, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, United States
- Framingham Heart Study, Boston University and National Heart, Lung, and Blood Institute, Framingham, MA, United States
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States
| | - David D McManus
- Cardiology Division, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States
- Department of Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Joanne M Murabito
- Framingham Heart Study, Boston University and National Heart, Lung, and Blood Institute, Framingham, MA, United States
- Section of General Internal Medicine, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, United States
| | - Chunyu Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States
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18
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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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19
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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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20
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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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21
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Matlary RED, Grydeland M, Glosli H, Rueegg CS, Holme PA. Physical activity in Norwegian teenagers and young adults with haemophilia A compared to general population peers. Haemophilia 2023; 29:658-667. [PMID: 36723510 DOI: 10.1111/hae.14752] [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: 09/07/2022] [Revised: 01/05/2023] [Accepted: 01/18/2023] [Indexed: 02/02/2023]
Abstract
INTRODUCTION Limited evidence exists on objectively measured habitual physical activity (PA) of young people with haemophilia (PWH). AIMS To compare different outcomes of objective PA between young PWH A and controls using a commercial activity tracker. METHODS We enrolled males aged 13-30 years with moderate and severe haemophilia A, without inhibitors on regular prophylaxis. PA was measured with the activity tracker Fitbit Charge 3 for 12 weeks. Control group data was obtained from ≈60,000 Fitbit users, matched on age, sex and measurement period. PA variables [steps, intensities, volume, activity types, exercise frequencies and proportion meeting the World Health Organization's moderate-to-vigorous PA (MVPA) recommendations] were compared between groups descriptively and using Welch's two-sample t-test and two-sample test of proportions. RESULTS Forty PWH A were enrolled (mean age 19.5 years, 50% teenagers, 50% adults, three (7.5%) with moderate and 37 (92.5%) with severe haemophilia). Mean daily steps and minutes MVPA were similar between PWH and controls. PWH spent more time in light PA (mean 227 vs. 192 min/day, P = .033) and exercised more frequently (mean 5.6 vs. 3.9 exercise sessions/week, P < .001). Among teenagers, 40% PWH and 8% controls reached MVPA recommendations, compared to 95% and 100% among adults. The most common type of PA was walking. CONCLUSION This cohort of young PWH A on prophylactic treatment had PA levels comparable to controls. Still, a considerable proportion of teenagers did not meet the recommended weekly volume of MVPA, and we encourage clinicians to have a particular focus on promoting PA for this group.
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Affiliation(s)
- Ruth Elise D Matlary
- Department of Haematology, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - May Grydeland
- Department of Physical Performance, Norwegian School of Sport Sciences, Oslo, Norway
| | - Heidi Glosli
- Centre for Rare Disorders, Oslo University Hospital, Oslo, Norway.,Department of Paediatric Research, Oslo University Hospital, Oslo, Norway
| | - Corina Silvia Rueegg
- Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway
| | - Pål André Holme
- Department of Haematology, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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22
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Xu L, Tong Q, Zhang X, Yu T, Lian X, Yu T, Falter M, Scherrenberg M, Kaihara T, Kizilkilic SE, Kindermans H, Dendale P, Li F. Smartphone-based gamification intervention to increase physical activity participation among patients with coronary heart disease: A randomized controlled trial. J Telemed Telecare 2023:1357633X221150943. [PMID: 36794484 DOI: 10.1177/1357633x221150943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
INTRODUCTION Despite proven benefits, patients with coronary heart disease (CHD) typically fail to participate in sufficient physical activity (PA). Effective interventions should be implemented to help patients maintain a healthy lifestyle and modify their present behavior. Gamification is the use of game design features (such as points, leaderboards, and progress bars) to improve motivation and engagement. It shows the potential for encouraging patients to engage in PA. However, empirical evidence on the efficacy of such interventions among patients with CHD is still emerging. PURPOSE The aim of the study is to explore whether a smartphone-based gamification intervention could increase PA participation and other physical and psychological outcomes in CHD patients. METHODS Participants with CHD were randomly assigned to three groups (control group, individual group, and team group). The individual and team groups received gamified behavior intervention based on behavioral economics. The team group combined gamified intervention with social interaction. The intervention lasted for 12 weeks, and the follow-up was12 weeks. The primary outcomes included the change in daily steps and the proportion of patient days that step goals were achieved. The secondary outcomes included competence, autonomy, relatedness, and autonomous motivation. RESULTS For the individual group, smartphone-based gamification intervention significantly increased PA among CHD patients over the 12-week period (step count difference 988; 95% CI 259-1717; p < 0.01) and had a good maintenance effect during the follow-up period (step count difference 819; 95% CI 24-1613; p < 0.01). There are also significant differences in competence, autonomous motivation, body mass index (BMI), and waist circumference in 12 weeks between the control group and individual group. For the team group, gamification intervention with collaboration didn't result in significant increases in PA. But patients in this group had a significant increase in competence, relatedness, and autonomous motivation. CONCLUSION A smartphone-based gamification intervention was proven to be an effective way to increase motivation and PA engagement, with a substantial maintenance impact (Chinese Clinical Trial Registry Identifier: ChiCTR2100044879).
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Affiliation(s)
- Linqi Xu
- School of Nursing, 12510Jilin University, Changchun, China
- Department of Cardiology, Jessa Hospital, Hasselt, Belgium
- Faculty of Medicine and Life Sciences, 54496UHasselt, Diepenbeek, Belgium
| | - Qian Tong
- Department of Cardiology, First Hospital of Jilin University, Changchun, China
| | - Xin Zhang
- School of Nursing, 12510Jilin University, Changchun, China
| | - Tianzhuo Yu
- School of Nursing, 12510Jilin University, Changchun, China
| | - Xiaoqian Lian
- School of Nursing, 12510Jilin University, Changchun, China
| | - Tianyue Yu
- School of Nursing, 12510Jilin University, Changchun, China
| | - Maarten Falter
- Department of Cardiology, Jessa Hospital, Hasselt, Belgium
- Faculty of Medicine and Life Sciences, 54496UHasselt, Diepenbeek, Belgium
- Faculty of Medicine, Department of Cardiology, KU Leuven, Leuven, Belgium
| | - Martijn Scherrenberg
- Department of Cardiology, Jessa Hospital, Hasselt, Belgium
- Faculty of Medicine and Life Sciences, 54496UHasselt, Diepenbeek, Belgium
- Faculty of Medicine and Health Sciences, Antwerp University, Leuven, Belgium
| | - Toshiki Kaihara
- Department of Cardiology, Jessa Hospital, Hasselt, Belgium
- Faculty of Medicine and Life Sciences, 54496UHasselt, Diepenbeek, Belgium
- Division of Cardiology, Department of Internal Medicine, St Marianna University School of Medicine, Kawasaki, Japan
| | - Sevda Ece Kizilkilic
- Department of Cardiology, Jessa Hospital, Hasselt, Belgium
- Faculty of Medicine and Life Sciences, 54496UHasselt, Diepenbeek, Belgium
| | - Hanne Kindermans
- Faculty of Medicine and Life Sciences, 54496UHasselt, Diepenbeek, Belgium
| | - Paul Dendale
- Department of Cardiology, Jessa Hospital, Hasselt, Belgium
- Faculty of Medicine and Life Sciences, 54496UHasselt, Diepenbeek, Belgium
| | - Feng Li
- School of Nursing, 12510Jilin University, Changchun, China
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23
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Patil V, Singhal DK, Naik N, Hameed BMZ, Shah MJ, Ibrahim S, Smriti K, Chatterjee G, Kale A, Sharma A, Paul R, Chłosta P, Somani BK. Factors Affecting the Usage of Wearable Device Technology for Healthcare among Indian Adults: A Cross-Sectional Study. J Clin Med 2022; 11:jcm11237019. [PMID: 36498594 PMCID: PMC9740494 DOI: 10.3390/jcm11237019] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 11/18/2022] [Accepted: 11/24/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Wearable device technology has recently been involved in the healthcare industry substantially. India is the world's third largest market for wearable devices and is projected to expand at a compound annual growth rate of ~26.33%. However, there is a paucity of literature analyzing the factors determining the acceptance of wearable healthcare device technology among low-middle-income countries. METHODS This cross-sectional, web-based survey aims to analyze the perceptions affecting the adoption and usage of wearable devices among the Indian population aged 16 years and above. RESULTS A total of 495 responses were obtained. In all, 50.3% were aged between 25-50 years and 51.3% belonged to the lower-income group. While 62.2% of the participants reported using wearable devices for managing their health, 29.3% were using them daily. technology and task fitness (TTF) showed a significant positive correlation with connectivity (r = 0.716), health care (r = 0.780), communication (r = 0.637), infotainment (r = 0.598), perceived usefulness (PU) (r = 0.792), and perceived ease of use (PEOU) (r = 0.800). Behavioral intention (BI) to use wearable devices positively correlated with PEOU (r = 0.644) and PU (r = 0.711). All factors affecting the use of wearable devices studied had higher mean scores among participants who were already using wearable devices. Male respondents had significantly higher mean scores for BI (p = 0.034) and PEOU (p = 0.009). Respondents older than 25 years of age had higher mean scores for BI (p = 0.027) and Infotainment (p = 0.032). CONCLUSIONS This study found a significant correlation with the adoption and acceptance of wearable devices for healthcare management in the Indian context.
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Affiliation(s)
- Vathsala Patil
- Department of Oral Medicine and Radiology, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
| | - Deepak Kumar Singhal
- Department of Public Health Dentistry, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
- Correspondence: (D.K.S.); (N.N.); Tel.: +91-8310874339 (N.N.)
| | - Nithesh Naik
- Department of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
- iTRUE (International Training and Research in Uro-Oncology and Endourology) Group, Manipal 576104, Karnataka, India
- Curiouz TechLab Private Limited, BIRAC-BioNEST, Government of Karnataka Bioincubator, Manipal 576104, Karnataka, India
- Correspondence: (D.K.S.); (N.N.); Tel.: +91-8310874339 (N.N.)
| | - B. M. Zeeshan Hameed
- iTRUE (International Training and Research in Uro-Oncology and Endourology) Group, Manipal 576104, Karnataka, India
- Curiouz TechLab Private Limited, BIRAC-BioNEST, Government of Karnataka Bioincubator, Manipal 576104, Karnataka, India
- Department of Urology, Father Muller Medical College, Mangalore 575001, Karnataka, India
| | - Milap J. Shah
- iTRUE (International Training and Research in Uro-Oncology and Endourology) Group, Manipal 576104, Karnataka, India
- Robotics and Urooncology, Max Hospital and Max Institute of Cancer Care, New Delhi 110024, India
| | - Sufyan Ibrahim
- iTRUE (International Training and Research in Uro-Oncology and Endourology) Group, Manipal 576104, Karnataka, India
- Department of Neurosurgery, Mayo Clinic, Rochester, MN 55902, USA
| | - Komal Smriti
- Department of Oral Medicine and Radiology, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
| | - Gaurav Chatterjee
- Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
| | - Ameya Kale
- Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
| | - Anshika Sharma
- Department of Psychology, Amity University, Noida 201313, Uttar Pradesh, India
| | - Rahul Paul
- iTRUE (International Training and Research in Uro-Oncology and Endourology) Group, Manipal 576104, Karnataka, India
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
- Center for Biologics Evaluation and Research (CBER), U.S. Food and Drug Administration, Silver Spring, MD 20993, USA
| | - Piotr Chłosta
- Department of Urology, Jagiellonian University in Krakow, 31-007 Kraków, Poland
| | - Bhaskar K. Somani
- Department of Urology, University Hospital Southampton NHS Trust, Southampton SO16 6YD, UK
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24
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Anugu P, Ansari MAY, Min YI, Benjamin EJ, Murabito J, Winters K, Turner E, Correa A. Digital Connectedness in the Jackson Heart Study: Cross-sectional Study. J Med Internet Res 2022; 24:e37501. [DOI: 10.2196/37501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 07/26/2022] [Accepted: 10/18/2022] [Indexed: 11/23/2022] Open
Abstract
Background
Although new approaches for data collection, such as mobile technology and teleresearch, have demonstrated new opportunities for the conduct of more timely and less costly surveys in community-based studies, literature on the feasibility of conducing cardiovascular disease research using mobile health (mHealth) platforms among middle-aged and older African Americans has been limited.
Objective
The purpose of this study was to contribute to the knowledge regarding the penetrance of internet and mobile technologies, such as cellphones or smartphones in existing large cohort studies of cardiovascular disease.
Methods
A digital connectedness survey was conducted in the Jackson Heart Study (JHS), a Mississippi-based African American cohort study, as part of the annual follow-up calls with participants from July 2017 to February 2019.
Results
Of the 4024 participants contacted, 2564 (63.7%) completed the survey. Among survey respondents, 2262 (88.2%) reported use of internet or cellphone, and 1593 (62.1%) had a smartphone. Compared to nonusers (n=302), internet or cellphone users (n=2262) were younger (mean age 80.1, SD 8.0 vs 68.2, SD 11.3 years), more likely to be affluent (n=778, 40.1% vs n=39, 15.4%), and had greater than high school education (n=1636, 72.5% vs n=85, 28.1%). Internet or cellphone users were less likely to have cardiovascular disease history compared to nonusers (136/2262, 6.6% vs 41/302, 15.8%). The prevalence of current smoking and average BMI were similar between internet or cellphone users and nonusers. Among internet or cellphone users, 1316 (58.3%) reported use of email, 504 (22.3%) reported use of apps to track or manage health, and 1269 (56.1%) expressed interest in using JHS-developed apps.
Conclusions
Our findings suggest that it is feasible to use mHealth technologies to collect survey data among African Americans already enrolled in a longitudinal study. Our findings also highlight the need for more efforts to reduce the age and education divide in access and use of internet and smartphones for tracking health and research in African American communities.
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Creating a Self-management Mobile Application for People With Chronic Low Back Pain: A Focus Group Study of Unmet Needs and Strategies. COMPUTERS, INFORMATICS, NURSING : CIN 2022:00024665-990000000-00074. [PMID: 36730673 DOI: 10.1097/cin.0000000000000975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Mobile health can fulfill the unmet needs of patients with chronic low back pain by recommending individualized management plans. Limited mobile applications have been developed based on the needs, preferences, and values relative to self-management of patients with chronic low back pain. This study aimed to explore the experience of patients with chronic low back pain and the desired content, designs, and features of a self-management application. We conducted five focus groups (N = 24). Participants provided feedback on draft contents and they also discussed the desired designs and features of an application while reviewing a low-fidelity prototype. Data were audio-recorded, transcribed verbatim, and analyzed using qualitative content analysis. Three categories and eight subcategories emerged. Participants: (1) confronted difficulties of their pain experience along with vicious cycles of pain and unmet needs; (2) acknowledged the importance of self-management as they lived with chronic low back pain and realized how to self-manage their pain; and (3) suggested ways to fulfill needs and preferences among patients with chronic low back pain. The nature of chronic low back pain causes disruptions well-being and requires constant management. Developing user-centered strategies to enhance knowledge and promote self-management among chronic low back pain patients is required.
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Alfieri FM, da Silva Dias C, de Oliveira NC, Battistella LR. Gamification in Musculoskeletal Rehabilitation. Curr Rev Musculoskelet Med 2022; 15:629-636. [PMID: 36301514 PMCID: PMC9789284 DOI: 10.1007/s12178-022-09797-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/26/2022] [Indexed: 12/27/2022]
Abstract
PURPOSE OF REVIEW This study is a narrative review aiming at evaluating the current literature of the last 5 years on gamification and musculoskeletal rehabilitation. The article search involved the following MeSH terms at PubMed: "gamification," "exergaming," and "rehabilitation." Original studies in English language were included. RECENT FINDINGS After careful analysis of the search results, 17 articles were included in this review. The use of games for rehabilitation was investigated in musculoskeletal rehabilitation conditions such as shoulder surgery, impingement syndrome, rheumatoid arthritis, osteoarthritis, low back pain, fibromyalgia, fracture, and ligament reconstruction. Results were similar or superior to conventional physical therapy or home-based exercises, with the additional benefit of improving motivation to the exercise program. Improvements in quality of life and perceived health status were also observed. The cost-effectiveness of this type of technology was also mentioned as an advantage of exergames in musculoskeletal rehabilitation. Studies involving gamification in musculoskeletal rehabilitation stress the potential of this resource in several aspects of physical fitness, health, and quality of life, also improving motivation and adherence to the exercise treatment.
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Affiliation(s)
- Fábio Marcon Alfieri
- Centro de Pesquisa Clinica do Instituto de Medicina Física e Reabilitação do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil and Master in Health Promotion–Adventist University Center, São Paulo, Brazil
| | - Caren da Silva Dias
- Physical Therapy–Instituto de Medicina Física e Reabilitação, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | | | - Linamara Rizzo Battistella
- Departamento de Medicina Legal, Ética Médica e Medicina Social e do Trabalho da Faculdade de Medicina, Universidade de São Paulo, São Paulo, and Centro de Pesquisa Clinica do Instituto de Medicina Física e Reabilitação do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
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Lasky-Fink J, Rogers T. Signals of value drive engagement with multi-round information interventions. PLoS One 2022; 17:e0276072. [PMID: 36282865 PMCID: PMC9595537 DOI: 10.1371/journal.pone.0276072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 09/28/2022] [Indexed: 11/19/2022] Open
Abstract
For information interventions to be effective, recipients must first engage with them. We show that engagement with repeated digital information interventions is shaped by subtle and strategically controllable signals of the information's value. In particular, recipients' expectations are shaped by signals from the "envelope" that surrounds a message in an information intervention. The envelope conveys clues about the message but does not reveal the message itself. When people expect the message to be valuable, delivering it in a consistent and recognizable envelope over time increases engagement relative to varying the envelope. Conversely, when people expect the message to be of little value, delivering it in a consistent and recognizable envelope decreases engagement relative to varying the envelope. We show this with two field experiments involving massive open online courses and one online survey experiment (all pre-registered, N = 439,150).
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Affiliation(s)
- Jessica Lasky-Fink
- Goldman School of Public Policy, University of California, Berkeley, Berkeley, California, United States of America
- * E-mail:
| | - Todd Rogers
- Harvard Kennedy School, Harvard University, Cambridge, Massachusetts, United States of America
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Vetrovsky T, Borowiec A, Juřík R, Wahlich C, Śmigielski W, Steffl M, Tufano JJ, Drygas W, Stastny P, Harris T, Małek Ł. Do physical activity interventions combining self-monitoring with other components provide an additional benefit compared with self-monitoring alone? A systematic review and meta-analysis. Br J Sports Med 2022; 56:1366-1374. [DOI: 10.1136/bjsports-2021-105198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/24/2022] [Indexed: 11/03/2022]
Abstract
ObjectiveTo determine the net effect of different physical activity intervention components on step counts in addition to self-monitoring.DesignA systematic review with meta-analysis and meta-regression.Data sourcesFive databases (PubMed, Scopus, Web of Science, ProQuest and Discus) were searched from inception to May 2022. The database search was complemented with backward and forward citation searches and search of the references from relevant systematic reviews.Eligibility criteriaRandomised controlled trials comparing an intervention using self-monitoring (active control arm) with an intervention comprising the same treatment PLUS any additional component (intervention arm).Data extraction and synthesisThe effect measures were mean differences in daily step count. Meta-analyses were performed using random-effects models, and effect moderators were explored using univariate and multivariate meta-regression models.ResultsEighty-five studies with 12 057 participants were identified, with 75 studies included in the meta-analysis at postintervention and 24 at follow-up. At postintervention, the mean difference between the intervention and active control arms was 926 steps/day (95% CI 651 to 1201). At a follow-up, the mean difference was 413 steps/day (95% CI 210 to 615). Interventions with a prescribed goal and involving human counselling, particularly via phone/video calls, were associated with a greater mean difference in the daily step count than interventions with added print materials, websites, smartphone apps or incentives.ConclusionPhysical activity interventions that combine self-monitoring with other components provide an additional modest yet sustained increase in step count compared with self-monitoring alone. Some forms of counselling, particularly remote phone/video counselling, outperformed other intervention components, such as websites and smartphone apps.PROSPERO registered numberCRD42020199482.
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Pérez-López IJ, Navarro-Mateos C, Mora-Gonzalez J. "STAR WARS: The first Jedi" Gamification Program: Use of a Mobile App to Improve Body Composition in College Students. Games Health J 2022; 11:321-329. [PMID: 35944270 DOI: 10.1089/g4h.2022.0046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background: There is a need to promote initiatives toward reaching more active and healthier lifestyles. Gamification has emerged among teachers as a powerful teaching strategy that favors students' motivation and behavioral change by applying game elements in nongame contexts. Purpose: To examine the effects of a 14-week gamification-based teaching program, including the use of a game-based mobile app on body composition in college students. Materials and Methods: One hundred twelve college students (21.22 ± 2.55 years) were assigned to a gamification-based group or a control group. College students from the intervention group participated in a gamification program under the narrative of "STAR WARS" and had a mobile app with a countdown timer. They had to meet physical activity recommendations to gain lifetime (i.e., sum time to the countdown). A portable eight-polar bioelectrical impedance analysis was used to obtain body composition outcomes; height (cm) was measured with a stadiometer; and waist circumference (cm) was measured using a metric tape. Body mass index (BMI), muscle mass index, fat mass index, and body fat percentage were computed. Results: Participants from the gamification program reported a significantly lower BMI, waist circumference, fat mass index and body fat percentage after the intervention, in comparison with the control group, indicated by an effect size ranging from -0.23 to -0.11 (all P ≤ 0.043). Conclusion: Gamification and the use of interactive mobile app are powerful teaching strategies in higher education to motivate students toward healthier lifestyles that lead to body composition benefits.
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Affiliation(s)
- Isaac J Pérez-López
- Educación Física y Transformación Social, SEJ546 Research Group, Department of Physical Education and Sports, Faculty of Sports Science, University of Granada, Granada, Spain
| | - Carmen Navarro-Mateos
- Educación Física y Transformación Social, SEJ546 Research Group, Department of Physical Education and Sports, Faculty of Sports Science, University of Granada, Granada, Spain
| | - Jose Mora-Gonzalez
- PROFITH "PROmoting FITness and Health Through Physical Activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain
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Leach W, Doherty C, Olave M, England BR, Wysham K, Kerr G, Quinones M, Ogdie A, White D, Neogi T, Scanzello CR, Baker JF. Protocol for a multi-center randomized controlled trial to evaluate the benefits of exercise incentives and corticosteroid injections in osteoarthritis of the knee (MOVE-OK). Trials 2022; 23:604. [PMID: 35897080 PMCID: PMC9327347 DOI: 10.1186/s13063-022-06529-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 07/06/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Knee osteoarthritis (KOA) is a high-priority problem among the aging population. While exercise has been shown to be beneficial in management of the disease, scalable and low-cost interventions to improve exercise in this population are lacking. Recent controversy over the value of corticosteroid injections for palliation has also arisen. Therefore, we designed a randomized, double-blind, placebo-controlled clinical trial with a 2-period crossover design to study (1) behavioral incentives to promote exercise and (2) corticosteroid injections to reduce pain and improve function in patients with KOA when compared to lidocaine only. METHODS The study design is a pragmatic factorial and crossover randomized clinical trial. Patients with KOA who are deemed eligible by their provider to receive knee injections and are able to walk without assistive devices will be recruited from clinical practices at four sites within the Veterans Affairs (VA) Health System in the USA. In total, 220 participants will be randomized to receive social incentives with gamification (i.e., incorporation of game elements) to promote exercise and compared to controls that receive a Fitbit but no incentive. Each patient will also be assigned to receive a blinded corticosteroid injection and a lidocaine-only injection in random order. The primary outcomes are the change in average daily step counts from baseline and the change in Knee Osteoarthritis Outcome Score (KOOS) from baseline. The study team will continuously collect step count, heart rate, and sleep data using activity monitors and patient-reported outcomes using the Way to Health (WTH) platform at two four-week intervals over eight months of follow-up. Mixed effects regression incorporating all available data points will be used for analysis. DISCUSSION The "Marching on for Veterans with Osteoarthritis of the Knee" (MOVE-OK) trial will take a pragmatic approach to evaluate (1) whether incentives based on behaviorally enhanced gamification can improve physical activity in this patient population and (2) whether corticosteroids injections reduce pain and disability in patients with KOA. Results of this trial will help to direct clinical practice and inform management guidelines. TRIAL REGISTRATION ClinicalTrials.gov NCT05035810 . Registered on 5 September 2021.
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Affiliation(s)
- William Leach
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Caleigh Doherty
- Perelman School of Medicine, University of Pennsylvania, 5th Floor White Building, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Marianna Olave
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Bryant R England
- Medicine Service, VA Nebraska-Western Iowa Health Care System and Department of Internal Medicine, Division of Rheumatology & Immunology, University of Nebraska Medical Center, Omaha, NE, USA
| | - Katherine Wysham
- VA Puget Sound Health Care System and University of Washington, Seattle, WA, USA
| | - Gail Kerr
- Washington DC VA Medical Center, Washington, D.C, USA
| | | | - Alexis Ogdie
- Perelman School of Medicine, University of Pennsylvania, 5th Floor White Building, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Dan White
- University of Delaware, Newark, DE, USA
| | - Tuhina Neogi
- Boston University School of Medicine, Boston, MA, USA
| | - Carla R Scanzello
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Perelman School of Medicine, University of Pennsylvania, 5th Floor White Building, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Joshua F Baker
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA.
- Perelman School of Medicine, University of Pennsylvania, 5th Floor White Building, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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Patnode CD, Redmond N, Iacocca MO, Henninger M. Behavioral Counseling Interventions to Promote a Healthy Diet and Physical Activity for Cardiovascular Disease Prevention in Adults Without Known Cardiovascular Disease Risk Factors: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force. JAMA 2022; 328:375-388. [PMID: 35881116 DOI: 10.1001/jama.2022.7408] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
IMPORTANCE Unhealthful dietary patterns, low levels of physical activity, and high sedentary time increase the risk of cardiovascular disease. OBJECTIVE To synthesize the evidence on benefits and harms of behavioral counseling interventions to promote a healthy diet and physical activity in adults without known cardiovascular disease (CVD) risk factors to inform a US Preventive Services Task Force recommendation. DATA SOURCES MEDLINE, PsycINFO, and the Cochrane Central Register of Controlled Trials through February 2021, with ongoing surveillance through February 2022. STUDY SELECTION Randomized clinical trials (RCTs) of behavioral counseling interventions targeting improved diet, increased physical activity, or decreased sedentary time among adults without known elevated blood pressure, elevated lipid levels, or impaired fasting glucose. DATA EXTRACTION AND SYNTHESIS Independent data abstraction and study quality rating and random effects meta-analysis. MAIN OUTCOMES AND MEASURES CVD events, CVD risk factors, diet and physical activity measures, and harms. RESULTS One-hundred thirteen RCTs were included (N = 129 993). Three RCTs reported CVD-related outcomes: 1 study (n = 47 179) found no significant differences between groups on any CVD outcome at up to 13.4 years of follow-up; a combined analysis of the other 2 RCTs (n = 1203) found a statistically significant association of the intervention with nonfatal CVD events (hazard ratio, 0.27 [95% CI, 0.08 to 0.88]) and fatal CVD events (hazard ratio, 0.31 [95% CI, 0.11 to 0.93]) at 4 years. Diet and physical activity behavioral counseling interventions were associated with small, statistically significant reductions in continuous measures of blood pressure (systolic mean difference, -0.8 [95% CI, -1.3 to -0.3]; 23 RCTs [n = 57 079]; diastolic mean difference, -0.4 [95% CI, -0.8 to -0.0]; 24 RCTs [n = 57 148]), low-density lipoprotein cholesterol level (mean difference, 2.2 mg/dL [95% CI, -3.8 to -0.6]; 15 RCTs [n = 6350]), adiposity-related outcomes (body mass index mean difference, -0.3 [95% CI, -0.5 to -0.1]; 27 RCTs [n = 59 239]), dietary outcomes, and physical activity at 6 months to 1.5 years of follow-up vs control conditions. There was no evidence of greater harm among intervention vs control groups. CONCLUSIONS AND RELEVANCE Healthy diet and physical activity behavioral counseling interventions for persons without a known risk of CVD were associated with small but statistically significant benefits across a variety of important intermediate health outcomes and small to moderate effects on dietary and physical activity behaviors. There was limited evidence regarding the long-term health outcomes or harmful effects of these interventions.
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Affiliation(s)
- Carrie D Patnode
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
| | - Nadia Redmond
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
| | - Megan O Iacocca
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
| | - Michelle Henninger
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
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Brewer LC, Jenkins S, Hayes SN, Kumbamu A, Jones C, Burke LE, Cooper LA, Patten CA. Community-Based, Cluster-Randomized Pilot Trial of a Cardiovascular Mobile Health Intervention: Preliminary Findings of the FAITH! Trial. Circulation 2022; 146:175-190. [PMID: 35861762 PMCID: PMC9287100 DOI: 10.1161/circulationaha.122.059046] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND African Americans continue to have suboptimal cardiovascular health (CVH) based on the American Heart Association Life's Simple 7 (LS7), 7 health-promoting behaviors and biological risk factors (eg, physical activity, blood pressure). Innovative, community-level interventions in partnership with trusted institutions such as African American churches are potential means to improve CVH in this population. METHODS Using a community-based participatory research approach, the FAITH! Trial (Fostering African American Improvement in Total Health) rigorously assessed the feasibility and preliminary efficacy of a refined, community-informed, mobile health intervention (FAITH! App) for promoting CVH among African Americans in faith communities using a cluster randomized controlled trial. Participants from 16 churches in Rochester and Minneapolis-St Paul, MN, were randomized to receive the FAITH! App (immediate intervention) or were assigned to a delayed intervention comparator group. The 10-week intervention core features included culturally relevant and LS7-focused education modules, diet/physical activity self-monitoring, and a group sharing board. Data were collected via electronic surveys and health assessments. Primary outcomes were average change in mean LS7 score (continuous measure of CVH ranging from poor to ideal [0-14 points]) from baseline to 6 months post-intervention (using generalized estimating equations) and app engagement/usability (by the Health Information Technology Usability Evaluation Scale; range, 0-5). RESULTS Of 85 enrolled participants (randomized to immediate [N=41] and delayed [control] intervention [N=44] groups), 76 and 68 completed surveys/health assessments at baseline and 6 months post-intervention, respectively (80% retention rate with assessments at both baseline and 6-month time points); immediate intervention [N=30] and control [N=38] groups). At baseline, the majority of participants (mean age [SD], 54.2 [12.3] years, 71% female) had <4-year college education level (39/66, 59%) and poor CVH (44% in poor category; mean LS7 score [SD], 6.8 [1.9]). The mean LS7 score of the intervention group increased by 1.9 (SD 1.9) points compared with 0.7 (SD 1.7) point in the control group (both P<0.0001) at 6 months. The estimated difference of this increase between the groups was 1.1 (95% CI, 0.6-1.7; P<0.0001). App engagement/usability was overall high (100% connection to app; >75% completed weekly diet/physical activity tracking; Health Information Technology Usability Evaluation Scale, mean [SD], 4.2 [0.7]). CONCLUSIONS On the basis of preliminary findings, the refined FAITH! App appears to be an efficacious mobile health tool to promote ideal CVH among African Americans. REGISTRATION URL: https://www. CLINICALTRIALS gov; Unique identifier: NCT03777709.
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Affiliation(s)
- LaPrincess C. Brewer
- Department of Cardiovascular Medicine (L.C.B., S.N.H.), Mayo Clinic College of Medicine, Rochester, MN
- Center for Health Equity and Community Engagement Research (L.C.B.), Mayo Clinic, Rochester, MN
| | - Sarah Jenkins
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences (S.J.), Mayo Clinic, Rochester, MN
| | - Sharonne N. Hayes
- Department of Cardiovascular Medicine (L.C.B., S.N.H.), Mayo Clinic College of Medicine, Rochester, MN
| | - Ashok Kumbamu
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery (A.K.), Mayo Clinic, Rochester, MN
| | | | - Lora E. Burke
- School of Nursing, Department of Health and Community Systems, University of Pittsburgh, PA (L.E.B.)
| | - Lisa A. Cooper
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (L.A.C.)
| | - Christi A. Patten
- Department of Psychiatry and Psychology (C.A.P.), Mayo Clinic College of Medicine, Rochester, MN
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Yao J, Lim N, Tan J, Matthias Müller A, Martinus van Dam R, Chen C, Tan CS, Müller-Riemenschneider F. Evaluation of a Population-Wide Mobile Health Physical Activity Program in 696 907 Adults in Singapore. J Am Heart Assoc 2022; 11:e022508. [PMID: 35699174 PMCID: PMC9238668 DOI: 10.1161/jaha.121.022508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Background Evidence of scaled‐up physical activity interventions is scarce. This study evaluates the uptake, engagement, and effectiveness of one such intervention program. Methods and Results The program was open to individuals aged ≥17 years in Singapore. The main intervention components comprised device‐based daily physical activity recording paired with step count goals and financial rewards. According to the different reward opportunities, we divided the evaluation period (August 2017 to June 2018) into the baseline monitoring phase, the main challenge phase, and the maintenance phase. Uptake was assessed by the number of individuals registered, and engagement by the step recording duration after registration. The effectiveness was defined as changes in mean daily step count from baseline to the main challenge phase and the maintenance phase. A total of 696 907 participants registered, including more Singapore citizens (versus noncitizens), women, and younger (aged 17–39 years) individuals. The evaluation of engagement and effectiveness included 421 388 (60.5%) participants who provided plausible characteristic information and step count data. The median duration of engagement was 74 (IQR, 14–149) days. Compared with the baseline of 7509 (SD, 3467) steps, mean daily step count increased by 1579 (95% CI, 1564–1594) steps during the main challenge phase and 934 (95% CI, 916–952) steps during the maintenance phase. Greater engagement and activity increase were found in participants who are citizens, women, aged ≥40 years, non‐obese, and using separate wearables (versus smartphones). Conclusions Mobile health physical activity interventions can successfully reach a large population and be effective in increasing physical activity, despite declining program engagement over time.
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Affiliation(s)
- Jiali Yao
- Saw Swee Hock School of Public Health National University of Singapore Singapore
| | - Nicole Lim
- Policy, Research and Surveillance Division Health Promotion Board Singapore
| | - Jeremy Tan
- Policy, Research and Surveillance Division Health Promotion Board Singapore
| | | | - Rob Martinus van Dam
- Saw Swee Hock School of Public Health National University of Singapore Singapore
| | - Cynthia Chen
- Saw Swee Hock School of Public Health National University of Singapore Singapore
| | - Chuen Seng Tan
- Saw Swee Hock School of Public Health National University of Singapore Singapore
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health National University of Singapore Singapore.,Berlin Institute of HealthCharite University Medical Centre Berlin Germany
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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: 14] [Impact Index Per Article: 7.0] [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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Effectiveness of a Worksite-Based Lifestyle Intervention on Employees' Obesity Control and Prevention in China: A Group Randomized Experimental Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19116738. [PMID: 35682322 PMCID: PMC9180232 DOI: 10.3390/ijerph19116738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 05/23/2022] [Accepted: 05/27/2022] [Indexed: 02/05/2023]
Abstract
Background: This study was to culturally adapt a lifestyle intervention for employees’ obesity control and prevention using a participatory process, and evaluate the effectiveness of the project at worksites. Methods: A group randomized experimental study included four worksites (two intervention, two control) in the Yangtze River Delta in China was conducted. A total of 388 participants (216 in the intervention worksites and 172 in the control worksites) were finally recruited from 955 employees at the four worksites (464 in the intervention worksites and 491 in the control worksites). The final evaluation was completed by two hundred and seventy-eight employees (159 in the intervention worksites and 119 in the control worksites, respectively). Data of demographic information, weight, BMI, waist circumference, hip circumference and weight-related behaviors including diary behaviors and physical activities were collected before and after a 12-month intervention and analyzed using descriptive statistics, t-test, chi-square test, linear mixed regression and logistic mixed regression. Results: Although the intervention worksites had a reduction in body mass index (23.21 to 22.95, p < 0.01), hip circumference (95.97 to 95.28, p = 0.03) and waist-to-height ratio (0.49 to 0.48, p = 0.01), the differential changes compared to those of the control group were not statistically significant. The frequency of sweet beverages (−1.81, 95%CI: −0.52, −3.11), frequency of vegetable intake (5.66, 95%CI: 1.59, 9.74), daily servings of vegetables (0.53, 95%CI: 0.24, 0.82), frequency of fruit intake (3.68, 95%CI: 1.25, 6.12), daily servings of fruit (0.26, 95%CI: 0.44, 0.92), daily servings of vegetables and fruit (0.79, 95%CI: 0.43, 1.16), daily steps (863.19, 95%CI: 161.42, 1564.97) and self-efficacy to change physical activity (OR = 1.91, 95%CI: 1.02,3.60) were more improved in the intervention group than were those measures in the control group. Conclusions: The worksite-based lifestyle intervention project for obesity control and prevention improved several employees’ dietary behaviors and physical activities at worksites in China in a short time. Long-term intervention with larger samples in more worksites should be further examined.
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Utesch T, Piesch L, Busch L, Strauss B, Geukes K. Self-tracking of daily physical activity using a fitness tracker and the effect of the 10,000 steps goal. GERMAN JOURNAL OF EXERCISE AND SPORT RESEARCH 2022. [DOI: 10.1007/s12662-022-00821-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
AbstractActivity self-tracking technologies have become a popular tool for monitoring physical activity, used to assist individuals in increasing physical activity. Previous findings, however, are inconclusive on whether standalone activity self-tracking, alone or in combination with a step goal, is efficient in encouraging physical activity behavior. This study aimed at investigating the effects of mere activity self-tracking and activity self-tracking with a daily 10,000 steps goal on physical activity levels in a randomized-controlled parallel group trial (N = 150; mean age= 24.66, standard deviation = 4.75), using a publicly available fitness tracker and associated smartphone application. Two experimental groups, one of which without and the other with step goal, recorded daily physical activity (daily step count) via a fitness tracker wearable and associated smartphone application and via daily self-reports of activity over the course of 6 weeks. An unequipped control group recorded physical activity only via daily self-reports. Both experimental groups were compared against each other based on step count data, and against the control group based on daily self-reports of activity. Results of mixed-effect multilevel analyses suggest that activity tracking using fitness trackers and externally assigned goals do not drive greater physical activity behavior. Rather, results indicate substantial individual differences that should be targeted in future studies to better understand individual behavioral processes boosting or hindering daily activity.
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Parikh RB, Ferrell W, Wakim J, Williamson J, Khan N, Kopinsky M, Balachandran M, Gabriel PE, Zhang Y, Schuchter LM, Shulman LN, Chen J, Patel MS, Manz CR. Patient and clinician nudges to improve symptom management in advanced cancer using patient-generated health data: study protocol for the PROStep randomised controlled trial. BMJ Open 2022; 12:e054675. [PMID: 35551088 PMCID: PMC9109034 DOI: 10.1136/bmjopen-2021-054675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
INTRODUCTION Patients with advanced cancers often face significant symptoms from their cancer and adverse effects from cancer-associated therapy. Patient-generated health data (PGHD) are routinely collected information about symptoms and activity levels that patients either directly report or passively record using devices such as wearable accelerometers. The objective of this study was to test the impact of an intervention integrating remote collection of PGHD with clinician and patient nudges to inform communication between patients with advanced cancer and their oncology team regarding symptom burden and functional status. METHODS AND ANALYSIS This single-centre prospective randomised controlled trial randomises patients with metastatic gastrointestinal or lung cancers into one of three arms: (A) usual care, (B) an intervention that integrates PGHD (including weekly text-based symptom surveys and passively recorded step counts) into a dashboard delivered to oncology clinicians at each visit and (C) the same intervention as arm B but with an additional text-based active choice intervention to patients to encourage discussing their symptoms with their oncology team. The study will enrol approximately 125 participants. The coprimary outcomes are patient perceptions of their oncology team's understanding of their symptoms and their functional status. Secondary outcomes are intervention utility and adherence. ETHICS AND DISSEMINATION This study has been approved by the institutional review board at the University of Pennsylvania. Study results will be disseminated using methods that describe the results in ways that key stakeholders can best understand and implement. TRIAL REGISTRATION NUMBERS NCT04616768 and 843 616.
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Affiliation(s)
- Ravi B Parikh
- Abramson Cancer Center, Philadelphia, Pennsylvania, USA
- Departments of Medical Ethics and Health Policy and Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - William Ferrell
- Departments of Medical Ethics and Health Policy and Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Jonathan Wakim
- Departments of Medical Ethics and Health Policy and Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Joelle Williamson
- Departments of Medical Ethics and Health Policy and Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Neda Khan
- Departments of Medical Ethics and Health Policy and Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Center for Health Care Innovation, University of Pennsylvania Health System, Philadelphia, Pennsylvania, USA
| | - Michael Kopinsky
- Center for Health Care Innovation, University of Pennsylvania Health System, Philadelphia, Pennsylvania, USA
| | - Mohan Balachandran
- Center for Health Care Innovation, University of Pennsylvania Health System, Philadelphia, Pennsylvania, USA
| | | | - Yichen Zhang
- Departments of Medical Ethics and Health Policy and Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | | | | | - Jinbo Chen
- Abramson Cancer Center, Philadelphia, Pennsylvania, USA
| | - Mitesh S Patel
- Departments of Medical Ethics and Health Policy and Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Christopher R Manz
- Division of Population Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Department of Medical Oncology, Harvard Medical School, Boston, Massachusetts, USA
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Koch AK, Mønster D, Nafziger J, Veflen N. Fostering safe food handling among consumers: Causal evidence on game- and video-based online interventions. Food Control 2022. [DOI: 10.1016/j.foodcont.2022.108825] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Community-based, cluster-randomized pilot trial of a cardiovascular mHealth intervention: Rationale, design, and baseline findings of the FAITH! Trial. Am Heart J 2022; 247:1-14. [PMID: 35065922 PMCID: PMC9037298 DOI: 10.1016/j.ahj.2022.01.009] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 01/14/2022] [Accepted: 01/15/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Compared to whites, African-Americans have lower prevalence of ideal cardiovascular health (CVH) based on the American Heart Association Life's Simple 7 (LS7). These CVH inequities have worsened during the COVID-19 pandemic. Ideal LS7 health-promoting behaviors and biological risk factors (eg, diet, blood pressure) are associated with improved CVH outcomes. The FAITH! (Fostering African-American Improvement in Total Health) App, a community-informed, mobile health (mHealth) intervention, previously demonstrated significant improvements in LS7 components among African-Americans, suggesting that mHealth interventions may be effective in improving CVH. This paper presents the FAITH! Trial design, baseline findings, and pandemic-related lessons learned. METHODS Utilizing a community-based participatory research approach, this study assessed the feasibility/preliminary efficacy of a refined FAITH! App for promoting LS7 among African-Americans in faith communities using a cluster, randomized controlled trial. Participants received the FAITH! App (immediate intervention) or were assigned to a delayed intervention comparator group. Baseline data were collected via electronic surveys and health assessments. Primary outcomes are change in LS7 score from baseline to 6-months post-intervention and app engagement/usability. RESULTS Of 85 enrolled individuals, 76 completed baseline surveys/health assessments, for a participation rate of 89% (N = 34 randomized to the immediate intervention, N = 42 to delayed intervention). At baseline, participants were predominantly female (54/76, 71%), employed (56/76, 78%) and of high cardiometabolic risk (72/76, 95% with hypertension and/or overweight/obesity) with mean LS7 scores in the poor range (6.8, SD = 1.9). CONCLUSIONS The FAITH! Trial recruitment was feasible, and its results may inform the use of mHealth tools to increase ideal CVH among African-Americans.
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Greysen SR, Waddell KJ, Patel MS. Exploring Wearables to Focus on the “Sweet Spot” of Physical Activity and Sleep After Hospitalization: Secondary Analysis. JMIR Mhealth Uhealth 2022; 10:e30089. [PMID: 35476034 PMCID: PMC9096634 DOI: 10.2196/30089] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 12/15/2021] [Accepted: 02/18/2022] [Indexed: 11/13/2022] Open
Abstract
Background
Inadequate sleep and physical activity are common during and after hospitalization, but their impact on patient-reported functional outcomes after discharge is poorly understood. Wearable devices that measure sleep and activity can provide patient-generated data to explore ideal levels of sleep and activity to promote recovery after hospital discharge.
Objective
This study aimed to examine the relationship between daily sleep and physical activity with 6 patient-reported functional outcomes (symptom burden, sleep quality, physical health, life space mobility, activities of daily living, and instrumental activities of daily living) at 13 weeks after hospital discharge.
Methods
This secondary analysis sought to examine the relationship between daily sleep, physical activity, and patient-reported outcomes at 13 weeks after hospital discharge. We utilized wearable sleep and activity trackers (Withings Activité wristwatch) to collect data on sleep and activity. We performed descriptive analysis of device-recorded sleep (minutes/night) with patient-reported sleep and device-recorded activity (steps/day) for the entire sample with full data to explore trends. Based on these trends, we performed additional analyses for a subgroup of patients who slept 7-9 hours/night on average. Differences in patient-reported functional outcomes at 13 weeks following hospital discharge were examined using a multivariate linear regression model for this subgroup.
Results
For the full sample of 120 participants, we observed a “T-shaped” distribution between device-reported physical activity (steps/day) and sleep (patient-reported quality or device-recorded minutes/night) with lowest physical activity among those who slept <7 or >9 hours/night. We also performed a subgroup analysis (n=60) of participants that averaged the recommended 7-9 hours of sleep/night over the 13-week study period. Our key finding was that participants who had both adequate sleep (7-9 hours/night) and activity (>5000 steps/day) had better functional outcomes at 13 weeks after hospital discharge. Participants with adequate sleep but less activity (<5000 steps/day) had significantly worse symptom burden (z-score 0.93, 95% CI 0.3 to 1.5; P=.02), community mobility (z-score –0.77, 95% CI –1.3 to –0.15; P=.02), and perceived physical health (z-score –0.73, 95% CI –1.3 to –0.13; P=.003), compared with those who were more physically active (≥5000 steps/day).
Conclusions
Participants within the “sweet spot” that balances recommended sleep (7-9 hours/night) and physical activity (>5000 steps/day) reported better functional outcomes after 13 weeks compared with participants outside the “sweet spot.” Wearable sleep and activity trackers may provide opportunities to hone postdischarge monitoring and target a “sweet spot” of recommended levels for both sleep and activity needed for optimal recovery.
Trial Registration
ClinicalTrials.gov NCT03321279; https://clinicaltrials.gov/ct2/show/NCT03321279
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Affiliation(s)
- S Ryan Greysen
- Section of Hospital Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Philadelphia Corporal Michael Crescenz Veterans Medical Center, Philadelphia, PA, United States
| | - Kimberly J Waddell
- Philadelphia Corporal Michael Crescenz Veterans Medical Center, Philadelphia, PA, United States
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Balch JA, Efron PA, Bihorac A, Loftus TJ. Gamification for Machine Learning in Surgical Patient Engagement. Front Surg 2022; 9:896351. [PMID: 35656082 PMCID: PMC9152738 DOI: 10.3389/fsurg.2022.896351] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 04/06/2022] [Indexed: 11/13/2022] Open
Abstract
Patients and their surgeons face a complex and evolving set of choices in the process of shared decision making. The plan of care must be tailored to individual patient risk factors and values, though objective estimates of risk can be elusive, and these risk factors are often modifiable and can alter the plan of care. Machine learning can perform real-time predictions of outcomes, though these technologies are limited by usability and interpretability. Gamification, or the use of game elements in non-game contexts, may be able to incorporate machine learning technology to help patients optimize their pre-operative risks, reduce in-hospital complications, and hasten recovery. This article proposes a theoretical mobile application to help guide decision making and provide evidence-based, tangible goals for patients and surgeons with the goal of achieving the best possible operative outcome that aligns with patient values.
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Affiliation(s)
- Jeremy A. Balch
- Department of Surgery, University of Florida Health, Gainesville, FL, United States
| | - Philip A. Efron
- Department of Surgery, University of Florida Health, Gainesville, FL, United States
| | - Azra Bihorac
- Department of Medicine, University of Florida Health, Gainesville, FL, United States
- Precision and Intelligent Systems in Medicine (PrismaP), University of Florida, Gainesville, FL, United States
| | - Tyler J. Loftus
- Department of Surgery, University of Florida Health, Gainesville, FL, United States
- Precision and Intelligent Systems in Medicine (PrismaP), University of Florida, Gainesville, FL, United States
- Correspondence: Tyler J. Loftus
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Xu L, Shi H, Shen M, Ni Y, Zhang X, Pang Y, Yu T, Lian X, Yu T, Yang X, Li F. The Effects of mHealth-Based Gamification Interventions on Participation in Physical Activity: Systematic Review. JMIR Mhealth Uhealth 2022; 10:e27794. [PMID: 35113034 PMCID: PMC8855282 DOI: 10.2196/27794] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 05/29/2021] [Accepted: 12/20/2021] [Indexed: 12/11/2022] Open
Abstract
Background It is well known that regular physical exercise has associated benefits; yet, participation remains suboptimal. Mobile health (mHealth) has become an indispensable medium to deliver behavior change interventions, and there is a growing interest in the gamification apps in mHealth to promote physical activity (PA) participation. Gamification could use game design elements (such as points, leaderboards, and progress bars), and it has the potential to increase motivation for PA and engagement. However, mHealth-based gamification interventions are still emerging, and little is known about the application status and efficacy of such interventions. Objective This systematic review aims to investigate gamification apps in mHealth for improving PA levels and simultaneously summarize the impact of gamification interventions on PA participation. Methods We searched PubMed, Scopus, Web of Science, Embase, CINAHL (EBSCO host), and IEEE Xplore from inception to December 20, 2020. Original empirical research exploring the effects of gamification interventions on PA participation was included. The papers described at least one outcome regarding exercise or PA participation, which could be subjective self-report or objective indicator measurement. Of note, we excluded studies about serious games or full-fledged games. Results Of 2944 studies identified from the database search, 50 (1.69%) were included, and the information was synthesized. The review revealed that gamification of PA had been applied to various population groups and broadly distributed among young people but less distributed among older adults and patients with a disease. Most of the studies (30/50, 60%) combined gamification with wearable devices to improve PA behavior change, and 50% (25/50) of the studies used theories or principles for designing gamified PA interventions. The most frequently used game elements were goal-setting, followed by progress bars, rewards, points, and feedback. This review demonstrated that gamification interventions could increase PA participation; however, the results were mixed, and modest changes were attained, which could be attributed to the heterogeneity across studies. Conclusions Overall, this study provides an overview of the existing empirical research in PA gamification interventions and provides evidence for the efficacy of gamification in enhancing PA participation. High-quality empirical studies are needed in the future to assess the efficacy of a combination of gamification and wearable activity devices to promote PA, and further exploration is needed to investigate the optimal implementation of these features of game elements and theories to enhance PA participation.
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Affiliation(s)
- Linqi Xu
- School of Nursing, Jilin University, Changchun, China
- Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
| | - Hongyu Shi
- School of Nursing, Jilin University, Changchun, China
| | - Meidi Shen
- School of Nursing, Peking University, Beijing, China
| | - Yuanyuan Ni
- Department of Anaesthesia, Bethune First Hospital of Jilin University, Changchun, China
| | - Xin Zhang
- School of Nursing, Jilin University, Changchun, China
| | - Yue Pang
- School of Nursing, Jilin University, Changchun, China
| | - Tianzhuo Yu
- School of Nursing, Jilin University, Changchun, China
| | - Xiaoqian Lian
- School of Nursing, Jilin University, Changchun, China
| | - Tianyue Yu
- School of Nursing, Jilin University, Changchun, China
| | - Xige Yang
- Department of Anaesthesia, Bethune First Hospital of Jilin University, Changchun, China
| | - Feng Li
- School of Nursing, Jilin University, Changchun, China
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Harte R, Norton L, Whitehouse C, Lorincz I, Jones D, Gerald N, Estrada I, Sabini C, Mitra N, Long JA, Cappella J, Glanz K, Volpp KG, Kangovi S. Design of a randomized controlled trial of digital health and community health worker support for diabetes management among low-income patients. Contemp Clin Trials Commun 2022; 25:100878. [PMID: 34977421 PMCID: PMC8688867 DOI: 10.1016/j.conctc.2021.100878] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 09/14/2021] [Accepted: 12/04/2021] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Insulin-dependent diabetes is a challenging disease to manage and involves complex behaviors, such as self-monitoring of blood glucose. This can be especially challenging in the face of socioeconomic barriers and in the wake of the COVID-19 pandemic. Digital health self-monitoring interventions and community health worker support are promising and complementary best practices for improving diabetes-related health behaviors and outcomes. Yet, these strategies have not been tested in combination. This protocol paper describes the rationale and design of a trial that measures the combined effect of digital health and community health worker support on glucose self-monitoring and glycosylated hemoglobin. METHODS The study population was uninsured or publicly insured; lived in high-poverty, urban neighborhoods; and had poorly controlled diabetes mellitus with insulin dependence. The study consisted of three arms: usual diabetes care; digital health self-monitoring; or combined digital health and community health worker support. The primary outcome was adherence to blood glucose self-monitoring. The exploratory outcome was change in glycosylated hemoglobin. CONCLUSION The design of this trial was grounded in social justice and community engagement. The study protocols were designed in collaboration with frontline community health workers, the study aim was explicit about furthering knowledge useful for advancing health equity, and the population was focused on low-income people. This trial will advance knowledge of whether combining digital health and community health worker interventions can improve glucose self-monitoring and diabetes-related outcomes in a high-risk population.
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Affiliation(s)
- Rory Harte
- Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Community Health Workers, Penn Medicine, Philadelphia, PA, USA
| | - Lindsey Norton
- Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Community Health Workers, Penn Medicine, Philadelphia, PA, USA
| | - Christina Whitehouse
- Villanova University M. Louise Fitzpatrick College of Nursing, Villanova, PA, USA
| | - Ilona Lorincz
- Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Denerale Jones
- Penn Center for Community Health Workers, Penn Medicine, Philadelphia, PA, USA
| | - Norma Gerald
- Penn Center for Community Health Workers, Penn Medicine, Philadelphia, PA, USA
| | - Irene Estrada
- Penn Center for Community Health Workers, Penn Medicine, Philadelphia, PA, USA
| | - Carolyn Sabini
- Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Community Health Workers, Penn Medicine, Philadelphia, PA, USA
| | - Nandita Mitra
- Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Judith A. Long
- Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Joseph Cappella
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA
| | - Karen Glanz
- Perelman School of Medicine and School of Nursing, University of Pennsylvania, Philadelphia, PA, USA
| | - Kevin G. Volpp
- Penn Center for Health Incentives and Behavioral Economics, Departments of Medical Ethics and Health Policy and Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Shreya Kangovi
- Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Center for Community Health Workers, Penn Medicine, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
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Mazeas A, Duclos M, Pereira B, Chalabaev A. Evaluating the Effectiveness of Gamification on Physical Activity: Systematic Review and Meta-analysis of Randomized Controlled Trials. J Med Internet Res 2022; 24:e26779. [PMID: 34982715 PMCID: PMC8767479 DOI: 10.2196/26779] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Revised: 03/31/2021] [Accepted: 10/19/2021] [Indexed: 01/08/2023] Open
Abstract
Background Gamification refers to the use of game elements in nongame contexts. The use of gamification to change behaviors and promote physical activity (PA) is a promising avenue for tackling the global physical inactivity pandemic and the current prevalence of chronic diseases. However, there is no evidence of the effectiveness of gamified interventions with the existence of mixed results in the literature. Objective The aim of this systematic review and meta-analysis is to evaluate the effectiveness of gamified interventions and their health care potential by testing the generalizability and sustainability of their influence on PA and sedentary behavior. Methods A total of 5 electronic databases (PubMed, Embase, Scopus, Web of Science, and the Cochrane Central Register of Controlled Trials) were searched for randomized controlled trials published in English from 2010 to 2020. Eligibility criteria were based on the components of the participants, interventions, comparators, and outcomes framework. Studies were included when they used gamified interventions in daily life with an active or inactive control group and when they assessed a PA or sedentary behavior outcome. We conducted meta-analyses using a random-effects model approach. Sensitivity analyses, influence analyses, and publication bias analyses were performed to examine the robustness of our results. Results The main meta-analysis performed on 16 studies and 2407 participants revealed a small to medium summary effect of gamified interventions on PA behavior (Hedges g=0.42, 95% CI 0.14-0.69). No statistical difference among different subgroups (adults vs adolescents and healthy participants vs adults with chronic diseases) and no interaction effects with moderators such as age, gender, or BMI were found, suggesting good generalizability of gamified interventions to different user populations. The effect was statistically significant when gamified interventions were compared with inactive control groups, such as waiting lists (Hedges g=0.58, 95% CI 0.08-1.07), and active control groups that included a nongamified PA intervention (Hedges g=0.23, 95% CI 0.05-0.41). This suggests that gamified interventions are not only efficient in changing behavior but also more effective compared with other behavioral interventions. The long-term effect (measured with follow-up averaging 14 weeks after the end of the intervention) was weaker, with a very small to small effect (Hedges g=0.15, 95% CI 0.07-0.23). Conclusions This meta-analysis confirms that gamified interventions are promising for promoting PA in various populations. Additional analyses revealed that this effect persists after the follow-up period, suggesting that it is not just a novelty effect caused by the playful nature of gamification, and that gamified products appear effective compared with equivalent nongamified PA interventions. Future rigorous trials are required to confirm these findings.
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Affiliation(s)
- Alexandre Mazeas
- Univ. Grenoble Alpes, SENS, 38000 Grenoble, France.,National Research Institute for Agriculture, Food and Environment (INRAE), 63000 Clermont-Ferrand, France.,Kiplin, 44200 Nantes, France
| | - Martine Duclos
- National Research Institute for Agriculture, Food and Environment (INRAE), 63000 Clermont-Ferrand, France.,Department of Sport Medicine and Functional Exploration, University Hospital Clermont-Ferrand, Hospital G. Montpied, 63000 Clermont-Ferrand, France
| | - Bruno Pereira
- Department of Biostatistics unit, Clermont-Ferrand University Hospital, 63000 Clermont-Ferrand, France
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Brewer LC, Cyriac J, Kumbamu A, Burke LE, Jenkins S, Hayes SN, Jones C, Cooper LA, Patten CA. Sign of the times: Community engagement to refine a cardiovascular mHealth intervention through a virtual focus group series during the COVID-19 Pandemic. Digit Health 2022; 8:20552076221110537. [PMID: 35874864 PMCID: PMC9297470 DOI: 10.1177/20552076221110537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 06/10/2022] [Accepted: 06/13/2022] [Indexed: 11/16/2022] Open
Abstract
Background African-Americans are underrepresented in mobile health intervention research studies which can perpetuate health inequities and the digital divide. A community-based, user-centered approach to designing mobile health interventions may increase their sociocultural relevance and effectiveness, especially with increased smartphone use during the coronavirus disease 2019 pandemic. We aimed to refine an existing mobile health intervention via a virtual focus group series. Methods African-American community members (n = 15) from churches in Minneapolis-St. Paul and Rochester, Minnesota were enrolled in a virtual (via videoconferencing), three-session focus group series over five months to refine a cardiovascular health-focused mobile health application (FAITH! [Fostering African-American Improvement in Total Health!] App). Participants accessed the app via their smartphones and received a Fitbit synced to the app. Participants engaged with multimedia cardiovascular health-focused education modules, a sharing board for social networking, and diet/physical activity self-monitoring. Participant feedback on app features prompted iterative revisions to the FAITH! App. Primary outcomes were app usability (assessed via Health Information Technology Usability Evaluation Scale range: 0–5) and user satisfaction. Results Participants (mean age [SD]: 56.9 [12.3] years, 86.7% female) attended a mean 2.8 focus groups (80% attended all sessions). The revised FAITH! App exceeded the goal Health Information Technology Usability Evaluation Scale score threshold of ≥4 (mean: 4.39, range: 3.20–4.95). Participants positively rated updated app content, visual appeal, and use of social incentives to maintain engagement. Increasing user control and refinement of the moderated sharing board were identified as areas for future improvement. Conclusions Community-partnered, virtual focus groups can optimize usability and increase participant satisfaction of mobile health lifestyle interventions that aim to promote cardiovascular health in African-Americans.
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Affiliation(s)
- LaPrincess C. Brewer
- Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, MN, USA
- Center for Health Equity and Community Engagement Research, Mayo Clinic, Rochester, MN, USA
| | - Jissy Cyriac
- Department of Internal Medicine, Mayo Clinic Graduate School of Medical Education, Rochester, MN, USA
| | - Ashok Kumbamu
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA
| | - Lora E. Burke
- Department of Health and Community Systems, School of Nursing, University of Pittsburgh, Pittsburgh, PA, USA
| | - Sarah Jenkins
- Department of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Sharonne N. Hayes
- Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, MN, USA
| | | | - Lisa A. Cooper
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Christi A. Patten
- Center for Health Equity and Community Engagement Research, Mayo Clinic, Rochester, MN, USA
- Department of Psychiatry and Psychology, Mayo Clinic College of Medicine, Rochester, MN, USA
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KAMADA MASAMITSU, HAYASHI HANA, SHIBA KOICHIRO, TAGURI MASATAKA, KONDO NAOKI, LEE IMIN, KAWACHI ICHIRO. Large-Scale Fandom-based Gamification Intervention to Increase Physical Activity: A Quasi-experimental Study. Med Sci Sports Exerc 2022; 54:181-188. [PMID: 34366420 PMCID: PMC8677610 DOI: 10.1249/mss.0000000000002770] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
PURPOSE Gamification, the use of game design elements in nongame contexts, in combination with insights from behavioral economics, has been applied increasingly to behavior change interventions. However, little is known about the effectiveness or scalability of this approach, especially in the long term. We tested a large-scale smartphone-based intervention to encourage physical activity among Japanese baseball fans using gamification techniques that leveraged fandom and interteam competition inherent in sports. METHODS A quasi-experimental study was conducted among fans of the Japanese Pacific League. The app, Pa-League Walk, included gamification elements, such as competition between opposing teams' fans based on total daily step counts on game days (>60,000 free downloads since March 2016). We analyzed daily steps of 20,052 app users, supplemented by online survey data of 274 users and 613 matched controls. Difference-in-differences estimators evaluated change in daily steps before and after app installation in users versus matched controls. RESULTS Users' daily steps increased by 574 (95% confidence interval, 83-1064) steps 3 months after installation, compared with controls. The increase was maintained for up to 9 months (559 (99-1018) more steps per day vs baseline), attenuating over a longer follow-up. Positive effect modification was found by high-frequency of the app use (P < 0.001) but not by other covariables (P ≥ 0.14) such as education or income. Days with 10,000-step achievement increased from 24.4% to 27.5% after the additional introduction of incentives (digital player photographs; P < 0.001). CONCLUSIONS Using existing fandom and solidarity, the gamification app increased physical activity at scale among baseball fans, including people with lower socioeconomic status underrepresented in traditional health programs.
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Affiliation(s)
- MASAMITSU KAMADA
- Department of Health Education and Health Sociology, School of Public Health, Graduate School of Medicine, The University of Tokyo, Tokyo, JAPAN
| | - HANA HAYASHI
- Department of Health Education and Health Sociology, School of Public Health, Graduate School of Medicine, The University of Tokyo, Tokyo, JAPAN
- Down to Earth, Inc., Katori City, Chiba, JAPAN
| | - KOICHIRO SHIBA
- Department of Health Education and Health Sociology, School of Public Health, Graduate School of Medicine, The University of Tokyo, Tokyo, JAPAN
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA
| | - MASATAKA TAGURI
- Department of Data Science, Yokohama City University School of Data Science, Yokohama City, Kanagawa, JAPAN
| | - NAOKI KONDO
- Department of Social Epidemiology and Global Health, Graduate School of Medicine and School of Public Health, Kyoto University, Kyoto City, Kyoto, JAPAN
| | - I-MIN LEE
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - ICHIRO KAWACHI
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA
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47
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Predicting changes in glycemic control among adults with prediabetes from activity patterns collected by wearable devices. NPJ Digit Med 2021; 4:172. [PMID: 34934140 PMCID: PMC8692591 DOI: 10.1038/s41746-021-00541-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 11/28/2021] [Indexed: 11/24/2022] Open
Abstract
The use of wearables is increasing and data from these devices could improve the prediction of changes in glycemic control. We conducted a randomized trial with adults with prediabetes who were given either a waist-worn or wrist-worn wearable to track activity patterns. We collected baseline information on demographics, medical history, and laboratory testing. We tested three models that predicted changes in hemoglobin A1c that were continuous, improved glycemic control by 5% or worsened glycemic control by 5%. Consistently in all three models, prediction improved when (a) machine learning was used vs. traditional regression, with ensemble methods performing the best; (b) baseline information with wearable data was used vs. baseline information alone; and (c) wrist-worn wearables were used vs. waist-worn wearables. These findings indicate that models can accurately identify changes in glycemic control among prediabetic adults, and this could be used to better allocate resources and target interventions to prevent progression to diabetes.
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48
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Lee D, Frey GC, Cothran DJ, Harezlak J, Shih PC. Effects of A Gamified, Behavior Change Techniques-Based Mobile Application on Increasing Physical Activity and Reducing Anxiety in Adults with Autism Spectrum Disorder: A Preliminary Study (Preprint). JMIR Form Res 2021; 6:e35701. [PMID: 35900808 PMCID: PMC9377470 DOI: 10.2196/35701] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 05/23/2022] [Accepted: 05/29/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Daehyoung Lee
- Department of Applied Human Sciences, University of Minnesota Duluth, Duluth, MN, United States
| | - Georgia C Frey
- Department of Kinesiology, Indiana University, Bloomington, IN, United States
| | - Donetta J Cothran
- Department of Kinesiology, Indiana University, Bloomington, IN, United States
| | - Jaroslaw Harezlak
- Department of Epidemiology and Biostatistics, Indiana University, Bloomington, IN, United States
| | - Patrick C Shih
- Department of Informatics, Indiana University, Bloomington, IN, United States
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49
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Vajravelu ME, Arslanian S. Mobile Health and Telehealth Interventions to Increase Physical Activity in Adolescents with Obesity: a Promising Approach to Engaging a Hard-to-Reach Population. Curr Obes Rep 2021; 10:444-452. [PMID: 34596867 PMCID: PMC8485573 DOI: 10.1007/s13679-021-00456-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/19/2021] [Indexed: 12/12/2022]
Abstract
PURPOSE OF REVIEW Adolescence represents a critical time to set habits for long-term health, yet adequate rates of physical activity are uncommon in this age group. Mobile technology use, however, is ubiquitous. We review advantages and challenges posed by mobile health (mHealth) and telehealth-based physical activity interventions aimed at adolescents. RECENT FINDINGS Mobile Health (mHealth) and telehealth interventions to increase physical activity in adolescents include use of wearable activity trackers, text messages or apps, and video visits with exercise specialists. Definitions and goals for physical activity differ across interventions, and methods of activity measurement also vary. User engagement is often poor, if tracked at all. No identified studies included use of behavioral economics-informed engagement strategies. Intervention designers must plan for ways to maximize engagement and to reliably measure the intended outcome. Although mHealth and telehealth interventions have advantages such as scalability and acceptability, potential pitfalls must be addressed before widespread implementation.
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Affiliation(s)
- Mary Ellen Vajravelu
- Division of Pediatric Endocrinology, Diabetes, and Metabolism, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, 4401 Penn Ave, Faculty Pavilion, 6th Floor, PA, 15224, Pittsburgh, USA.
- Center for Pediatric Research in Obesity and Metabolism, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
| | - Silva Arslanian
- Division of Pediatric Endocrinology, Diabetes, and Metabolism, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, 4401 Penn Ave, Faculty Pavilion, 6th Floor, PA, 15224, Pittsburgh, USA
- Center for Pediatric Research in Obesity and Metabolism, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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50
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South EC, Lee K, Oyekanmi K, Buckler DG, Tiako MJN, Martin T, Kornfield SL, Srinivas S. Nurtured in Nature: a Pilot Randomized Controlled Trial to Increase Time in Greenspace among Urban-Dwelling Postpartum Women. J Urban Health 2021; 98:822-831. [PMID: 34014451 PMCID: PMC8688635 DOI: 10.1007/s11524-021-00544-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/19/2021] [Indexed: 10/21/2022]
Abstract
Spending time in nature is associated with numerous mental health benefits, including reduced depression and improved well-being. However, few studies examine the most effective ways to nudge people to spend more time outside. Furthermore, the impact of spending time in nature has not been previously studied as a postpartum depression (PPD) prevention strategy. To fill these gaps, we developed and pilot tested Nurtured in Nature, a 4-week intervention leveraging a behavioral economics framework, and included a Nature Coach, digital nudges, and personalized goal feedback. We conducted a randomized controlled trial among postpartum women (n = 36) in Philadelphia, PA between 9/9/2019 and 3/27/2020. Nature visit frequency and duration was determined using GPS data. PPD was measured using the Edinburgh Postnatal Depression Scale (EPDS). Participants were from low-income, majority Black neighborhoods. Compared to control, the intervention arm had a strong trend toward longer duration and higher frequency of nature visits (IRR 2.6, 95%CI 0.96-2.75, p = 0.059). When analyzing women who completed the intervention (13 of 17 subjects), the intervention was associated with three times higher nature visits compared to control (IRR 3.1, 95%CI 1.16-3.14, p = 0.025). No significant differences were found in the EPDS scores, although we may have been limited by the study's sample size. Nurture in Nature increased the amount of time postpartum women spent in nature, and may be a useful population health tool to leverage the health benefits of nature in majority Black, low-resourced communities.
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Affiliation(s)
- Eugenia C South
- Department of Emergency Medicine, University of Pennsylvania, Blockley Hall, Room 408, 423 Guardian Drive, Philadelphia, PA, 19104, USA. .,Urban Health Lab, University of Pennsylvania, Philadelphia, PA, USA.
| | - Kathleen Lee
- Department of Emergency Medicine, University of Pennsylvania, Blockley Hall, Room 408, 423 Guardian Drive, Philadelphia, PA, 19104, USA
| | - Kehinde Oyekanmi
- Department of Emergency Medicine, University of Pennsylvania, Blockley Hall, Room 408, 423 Guardian Drive, Philadelphia, PA, 19104, USA.,Urban Health Lab, University of Pennsylvania, Philadelphia, PA, USA
| | - David G Buckler
- Department of Emergency Medicine, University of Pennsylvania, Blockley Hall, Room 408, 423 Guardian Drive, Philadelphia, PA, 19104, USA.,Urban Health Lab, University of Pennsylvania, Philadelphia, PA, USA
| | - Max Jordan Nguemeni Tiako
- Urban Health Lab, University of Pennsylvania, Philadelphia, PA, USA.,Yale School of Medicine, New Haven, CT, USA
| | - Tyler Martin
- Center for Healthcare Innovation, University of Pennsylvania, Philadelphia, PA, USA
| | - Sara L Kornfield
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Sindhu Srinivas
- Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA, USA
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