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García-Álvarez D, Sempere-Rubio N, Faubel YR. Evaluaciones económicas en promoción de la actividad física: una revisión sistemática. Glob Health Promot 2024:17579759241245413. [PMID: 39086317 DOI: 10.1177/17579759241245413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/02/2024]
Affiliation(s)
- David García-Álvarez
- Departamento de Fisioterapia, Facultad de Fisioterapia, Universidad de Valencia, Valencia, España
| | - Núria Sempere-Rubio
- Departamento de Fisioterapia, Facultad de Fisioterapia, Universidad de Valencia, Valencia, España
| | - Y Raquel Faubel
- Departamento de Fisioterapia, Facultad de Fisioterapia, Universidad de Valencia, Valencia, España
- Unidad de Investigación Conjunta en Ingeniería Biomédica, IIS La Fe-Universitat Politècnica de València, Valencia, España
- PTinMOTION, Fisioterapia en movimiento, Grupo de Investigación Multiespecialidad, Departamento de Fisioterapia, Universitat de València, Valencia, España
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Hou QL, Liu LY, Wu Y. The Effects of mHealth Interventions on Quality of Life, Anxiety, and Depression in Patients With Coronary Heart Disease: Meta-Analysis of Randomized Controlled Trials. J Med Internet Res 2024; 26:e52341. [PMID: 38861710 PMCID: PMC11200038 DOI: 10.2196/52341] [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: 08/31/2023] [Revised: 02/05/2024] [Accepted: 03/22/2024] [Indexed: 06/13/2024] Open
Abstract
BACKGROUND Coronary heart disease (CHD) is the leading cause of death globally. In addition, 20% to 40% of the patients with CHD have comorbid mental health issues such as anxiety or depression, affecting the prognosis and quality of life (QoL). Mobile health (mHealth) interventions have been developed and are widely used; however, the evidence for the effects of mHealth interventions on QoL, anxiety, and depression in patients with CHD is currently ambiguous. OBJECTIVE In this study, we aimed to assess the effects of mHealth interventions on QoL, anxiety, and depression in patients with CHD. METHODS We searched the Cochrane Library, PubMed, Embase, CINAHL, Web of Science, China National Knowledge Infrastructure, and Wanfang databases from inception to August 12, 2023. Eligible studies were randomized controlled trials that involved patients with CHD who received mHealth interventions and that reported on QoL, anxiety, or depression outcomes. We used the Cochrane risk-of-bias tool for randomized trials to evaluate the risk of bias in the studies, ensuring a rigorous and methodologically sound analysis. Review Manager (desktop version 5.4; The Cochrane Collaboration) and Stata MP (version 17.0; StataCorp LLC) were used to conduct the meta-analysis. The effect size was calculated using the standardized mean difference (SMD) and its 95% CI. RESULTS The meta-analysis included 23 studies (5406 participants in total) and showed that mHealth interventions significantly improved QoL in patients with CHD (SMD 0.49, 95% CI 0.25-0.72; Z=4.07; P<.001) as well as relieved their anxiety (SMD -0.46, 95% CI -0.83 to -0.08; Z=2.38; P=.02) and depression (SMD -0.34, 95% CI -0.56 to -0.12; Z=3.00; P=.003) compared to usual care. The subgroup analyses indicated a significant effect favoring the mHealth intervention on reducing anxiety and depressive symptoms compared to usual care, especially when (1) the intervention duration was ≥6 months (P=.04 and P=.001), (2) the mHealth intervention was a simple one (only 1 mHealth intervention was used) (P=.01 and P<.001), (3) it was implemented during the COVID-19 pandemic (P=.04 and P=.01), (4) it was implemented in low- or middle-income countries (P=.01 and P=.02), (5) the intervention focused on mental health (P=.01 and P=.007), and (6) adherence rates were high (≥90%; P=.03 and P=.002). In addition, comparing mHealth interventions to usual care, there was an improvement in QoL when (1) the mHealth intervention was a simple one (P<.001), (2) it was implemented in low- or middle-income countries (P<.001), and (3) the intervention focused on mental health (P<.001). CONCLUSIONS On the basis of the existing evidence, mHealth interventions might be effective in improving QoL and reducing anxiety and depression in patients with CHD. However, large sample, high-quality, and rigorously designed randomized controlled trials are needed to provide further evidence. TRIAL REGISTRATION PROSPERO CRD42022383858; https://tinyurl.com/3ea2npxf.
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Affiliation(s)
- Qiao Ling Hou
- School of Nursing, Capital Medical University, Beijing, China
| | - Le Yang Liu
- School of Nursing, Capital Medical University, Beijing, China
| | - Ying Wu
- School of Nursing, Capital Medical University, Beijing, China
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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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Miki T, Nohara M, Nomura K. Effectiveness of mHealth interventions to promote physical activity and reduce sedentary behaviours on work-related productivity and performance: a systematic review protocol. BMJ Open 2024; 14:e080240. [PMID: 38443086 PMCID: PMC11146360 DOI: 10.1136/bmjopen-2023-080240] [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: 09/25/2023] [Accepted: 02/16/2024] [Indexed: 03/07/2024] Open
Abstract
INTRODUCTION Technologies such as health and fitness applications (apps) and wearable activity trackers have recently gained popularity and may play a key role in promoting physical activity and reducing sedentary behaviours. Although several systematic reviews have investigated their efficacy in physical activity and sedentary behaviours, few studies have focused on their impact on work-related outcomes among workers. Here, to explore the effects of mHealth interventions designed to encourage physical activity and decrease sedentary behaviours on work-related outcomes, including absenteeism, presenteeism, productivity, work performance and workability among workers, we will conduct a systematic review based on recent articles and an extensive literature search. METHODS AND ANALYSIS The literature search will be performed using PubMed, Web of Science, the Cochrane Library and the Japan Medical Abstracts Society from inception to 23 September 2023. We will select studies that (1) investigated the impact of mHealth interventions to promote physical activity and reduce sedentary behaviours on work-related outcomes such as absenteeism, presenteeism, productivity, work performance and workability; (2) were designed as a randomised controlled trial (RCT) or non-randomised study of interventions (NRSI); (3) were conducted among workers and (4) were published as full-text original articles in Japanese or English. We will assess the review quality with the AMSTAR 2 tool. The risk of bias will be assessed with the RoB tool 2.0 and ROBINS-I. ETHICS AND DISSEMINATION Ethical approval is unnecessary as the study will rely solely on previously published articles. The research results will be submitted for publication in a peer-reviewed scientific journal. TRIAL REGISTRATION NUMBER The study protocol has been registered with the UMIN Clinical Trials Registry (ID=UMIN000052290).
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Affiliation(s)
- Takako Miki
- Division of Public Health, Department of Hygiene and Public Health, School of Medicine, Tokyo Women's Medical University, Tokyo, Japan
| | - Michiko Nohara
- Division of Public Health, Department of Hygiene and Public Health, School of Medicine, Tokyo Women's Medical University, Tokyo, Japan
| | - Kyoko Nomura
- Department of Environmental Health Science and Public Health, Akita University Graduate School of Medicine, Akita, Japan
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ElSayed NA, Bannuru RR, Bakris G, Bardsley J, de Boer IH, Gabbay RA, Gockerman J, McCoy RG, McCracken E, Neumiller JJ, Pilla SJ, Rhee CM. Diabetic Kidney Disease Prevention Care Model Development. Clin Diabetes 2023; 42:274-294. [PMID: 38694240 PMCID: PMC11060626 DOI: 10.2337/cd23-0063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/04/2024]
Abstract
More than one-third of people with diabetes develop diabetic kidney disease (DKD), which substantially increases risks of kidney failure, cardiovascular disease (CVD), hypoglycemia, death, and other adverse health outcomes. A multifaceted approach incorporating self-management education, lifestyle optimization, pharmacological intervention, CVD prevention, and psychosocial support is crucial to mitigate the onset and progression of DKD. The American Diabetes Association convened an expert panel to develop the DKD Prevention Model presented herein. This model addresses prevention and treatment, including screening guidelines, diagnostic tools, and management approaches; comprehensive, holistic interventions; well-defined roles for interdisciplinary health care professionals; community engagement; and future directions for research and policy.
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Affiliation(s)
- Nuha A. ElSayed
- American Diabetes Association, Alexandria, VA
- Harvard Medical School, Boston, MA
| | | | - George Bakris
- Department of Medicine, American Heart Association Comprehensive Hypertension Center, University of Chicago School of Medicine, Chicago, IL
| | - Joan Bardsley
- MedStar Health Research Institute and MedStar System Nursing, Columbia, MD
| | - Ian H. de Boer
- Division of Nephrology, University of Washington School of Medicine, Seattle, WA
| | | | | | - Rozalina G. McCoy
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland School of Medicine, University of Maryland Institute for Health Computing, Rockville, MD
| | | | - Joshua J. Neumiller
- College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, WA
- Providence Medical Research Center, Providence Health Care, Spokane, WA
| | - Scott J. Pilla
- Department of Medicine, Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Connie M. Rhee
- Division of Nephrology, Hypertension, and Kidney Transplantation, University of California Irvine School of Medicine, Irvine, CA
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Zheng S, Edney SM, Goh CH, Tai BC, Mair JL, Castro O, Salamanca-Sanabria A, Kowatsch T, van Dam RM, Müller-Riemenschneider F. Effectiveness of holistic mobile health interventions on diet, and physical, and mental health outcomes: a systematic review and meta-analysis. EClinicalMedicine 2023; 66:102309. [PMID: 38053536 PMCID: PMC10694579 DOI: 10.1016/j.eclinm.2023.102309] [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] [Received: 07/04/2023] [Revised: 10/16/2023] [Accepted: 10/26/2023] [Indexed: 12/07/2023] Open
Abstract
Background Good physical and mental health are essential for healthy ageing. Holistic mobile health (mHealth) interventions-including at least three components: physical activity, diet, and mental health-could support both physical and mental health and be scaled to the population level. This review aims to describe the characteristics of holistic mHealth interventions and their effects on related behavioural and health outcomes among adults from the general population. Methods In this systematic review and meta-analysis, we searched MEDLINE, Embase, Cochrane Central Register of Controlled Trials, PsycINFO, Scopus, China National Knowledge Infrastructure, and Google Scholar (first 200 records). The initial search covered January 1, 2011, to April 13, 2022, and an updated search extended from April 13, 2022 to August 30, 2023. Randomised controlled trials (RCTs) and non-randomised studies of interventions (NRSIs) were included if they (i) were delivered via mHealth technologies, (ii) included content on physical activity, diet, and mental health, and (iii) targeted adults (≥18 years old) from the general population or those at risk of non-communicable diseases (NCDs) or mental disorders. Studies were excluded if they targeted pregnant women (due to distinct physiological responses), individuals with pre-existing NCDs or mental disorders (to emphasise prevention), or primarily utilised web, email, or structured phone support (to focus on mobile technologies without exclusive human support). Data (summary data from published reports) extraction and risk-of-bias assessment were completed by two reviewers using a standard template and Cochrane risk-of-bias tools, respectively. Narrative syntheses were conducted for all studies, and random-effects models were used in the meta-analyses to estimate the pooled effect of interventions for outcomes with comparable data in the RCTs. The study was registered in PROSPERO, CRD42022315166. Findings After screening 5488 identified records, 34 studies (25 RCTs and 9 pre-post NRSIs) reported in 43 articles with 5691 participants (mean age 39 years, SD 12.5) were included. Most (91.2%, n = 31/34) were conducted in high-income countries. The median intervention duration was 3 months, and only 23.5% (n = 8/34) of studies reported follow-up data. Mobile applications, short-message services, and mobile device-compatible websites were the most common mHealth delivery modes; 47.1% (n = 16/34) studies used multiple mHealth delivery modes. Of 15 studies reporting on weight change, 9 showed significant reductions (6 targeted on individuals with overweight or obesity), and in 10 studies reporting perceived stress levels, 4 found significant reductions (all targeted on general adults). In the meta-analysis, holistic mHealth interventions were associated with significant weight loss (9 RCTs; mean difference -1.70 kg, 95% CI -2.45 to -0.95; I2 = 89.00%) and a significant reduction in perceived stress levels (6 RCTs; standardised mean difference [SMD] -0.32; 95% CI -0.52 to -0.12; I2 = 14.52%). There were no significant intervention effects on self-reported moderate-to-vigorous physical activity (5 RCTs; SMD 0.21; 95%CI -0.25 to 0.67; I2 = 74.28%) or diet quality scores (5 RCTs; SMD 0.21; 95%CI -0.47 to 0.65; I2 = 62.27%). All NRSIs were labelled as having a serious risk of bias overall; 56% (n = 14/25) of RCTs were classified as having some concerns, and the others as having a high risk of bias. Interpretation Findings from identified studies suggest that holistic mHealth interventions may aid reductions in weight and in perceived stress levels, with small to medium effect sizes. The observed effects on diet quality scores and self-reported moderate-to-vigorous physical activity were less clear and require more research. High-quality RCTs with longer follow-up durations are needed to provide more robust evidence. To promote population health, future research should focus on vulnerable populations and those in middle- and low-income countries. Optimal combinations of delivery modes and components to improve efficacy and sustain long-term effects should also be explored. Funding National Research Foundation, Prime Minister's Office, Singapore, under its Campus for Research Excellence and Technological Enterprise (CREATE) Programme and Physical Activity and Nutrition Determinants in Asia (PANDA) Research Programme.
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Affiliation(s)
- Shenglin Zheng
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
| | - Sarah Martine Edney
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Chin Hao Goh
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Bee Choo Tai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - Jacqueline Louise Mair
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
| | - Oscar Castro
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
| | - Alicia Salamanca-Sanabria
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A∗STAR), Singapore
| | - Tobias Kowatsch
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
- Institute for Implementation Science in Health Care, University of Zürich, Zürich, Switzerland
- School of Medicine, University of St. Gallen, St. Gallen, Switzerland
- Centre for Digital Health Interventions, Department of Management, Technology and Economics ETH Zürich, Zürich, Switzerland
| | - Rob M. van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Departments of Exercise and Nutrition Sciences and Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
- Digital Health Centre, Berlin Institute of Health, Charité – Universitätsmedizin Berlin, Berlin, Germany
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Selekwa M, Maina I, Yeh T, Nkya A, Ncogoza I, Nuss RC, Mushi BP, Haddadi S, Van Loon K, Mbaga E, Massawe W, Roberson DW, Dharsee N, Musimu B, Xu MJ. Tracheostomy care quality improvement in low- and middle-income countries: A scoping review. PLOS GLOBAL PUBLIC HEALTH 2023; 3:e0002294. [PMID: 37943736 PMCID: PMC10635432 DOI: 10.1371/journal.pgph.0002294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 10/09/2023] [Indexed: 11/12/2023]
Abstract
Tracheostomy is a lifesaving, essential procedure performed for airway obstruction in the case of head and neck cancers, prolonged ventilator use, and for long-term pulmonary care. While successful quality improvement interventions in high-income countries such as through the Global Tracheostomy Collaborative significantly reduced length of hospital stay and decreased levels of anxiety among patients, limited literature exists regarding tracheostomy care and practices in low and middle-income countries (LMIC), where most of the world resides. Given limited literature, this scoping review aims to summarize published tracheostomy studies in LMICs and highlight areas in need of quality improvement and clinical research efforts. Based on the PRISMA guidelines, a scoping review of the literature was performed through MEDLINE/PubMed and Embase using terms related to tracheostomy, educational and quality improvement interventions, and LMICs. Publications from 2000-2022 in English were included. Eighteen publications representing 10 countries were included in the final analysis. Seven studies described baseline needs assessments, 3 development of training programs for caregivers, 6 trialed home-based or hospital-based interventions, and finally 2 articles discussed development of standardized protocols. Overall, studies highlighted the unique challenges to tracheostomy care in LMICs including language, literacy barriers, resource availability (running water and electricity in patient homes), and health system access (financial costs of travel and follow-up). There is currently limited published literature on tracheostomy quality improvement and care in LMICs. Opportunities to improve quality of care include increased efforts to measure complications and outcomes, implementing evidence-based interventions tailored to LMIC settings, and using an implementation science framework to study tracheostomy care in LMICs.
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Affiliation(s)
- Msiba Selekwa
- Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
| | - Ivy Maina
- Department of Otolaryngology-Head and Neck Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Tiffany Yeh
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Aslam Nkya
- Department of Otolaryngology-Head & Neck Surgery, Muhimbili National Hospital, Dar es Salaam, Tanzania
| | - Isaie Ncogoza
- Department of Surgery, College of Medicine & Health Sciences, University of Rwanda, Kigali, Rwanda
| | - Roger C. Nuss
- Department of Otolaryngology and Communication Enhancement, Boston Children’s Hospital, Boston, Massachusetts, United States of America
| | - Beatrice P. Mushi
- Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
| | - Sumaiya Haddadi
- Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
| | - Katherine Van Loon
- Department of Medicine, Division of Hematology/Oncology, University of California San Francisco, San Francisco, California, United States of America
| | - Elia Mbaga
- Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
| | - Willybroad Massawe
- Department of Otolaryngology-Head & Neck Surgery, Muhimbili National Hospital, Dar es Salaam, Tanzania
- Department of Otolaryngology-Head and Neck Surgery, Muhimbili University of Health and Allied Science, Dar es Salaam, Tanzania
| | - David W. Roberson
- Bayhealth Medical Group, Dover, Delaware, United States of America
- Global Tracheostomy Collaborative, Raleigh, North Carolina, United States of America
| | - Nazima Dharsee
- Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
- Ocean Road Cancer Institute, Dar es Salaam, Tanzania
| | - Baraka Musimu
- Department of Otolaryngology-Head and Neck Surgery, Muhimbili University of Health and Allied Science, Dar es Salaam, Tanzania
| | - Mary Jue Xu
- Department of Otolaryngology-Head and Neck Surgery, University of California San Francisco, San Francisco, California, United States of America
- National Clinician Scholars Program, University of California San Francisco, San Francisco, California, United States of America
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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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Zheng S, Edney SM, Mair JL, Kowatsch T, Castro O, Salamanca-Sanabria A, Müller-Riemenschneider F. Holistic mHealth interventions for the promotion of healthy ageing: protocol for a systematic review. BMJ Open 2023; 13:e066662. [PMID: 37130675 PMCID: PMC10163532 DOI: 10.1136/bmjopen-2022-066662] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/04/2023] Open
Abstract
INTRODUCTION Maintaining physical and mental health is essential for healthy ageing. It can be supported by modifying lifestyle factors such as physical activity and diet. Poor mental health, in turn, contributes to the opposing effect. The promotion of healthy ageing may therefore benefit from holistic interventions integrating physical activity, diet and mental health. These interventions can be scaled up to the population level by using mobile technologies. However, systematic evidence regarding the characteristics and effectiveness of such holistic mHealth interventions remains limited. This paper presents a protocol for a systematic review that aims to provide an overview of the current state of the evidence for holistic mHealth interventions, including their characteristics and effects on behavioural and health outcomes in general adult populations . METHODS AND ANALYSIS We will conduct a comprehensive search for randomised controlled trials and non-randomised studies of interventions published between January 2011 and April 2022 in MEDLINE, Embase, Cochrane Central Register of Controlled Trials, PsycINFO, Scopus, China National Knowledge Infrastructure and Google Scholar (first 200 records). Eligible studies will be mHealth interventions targeting general adult populations with content on physical activity, diet and mental health. We will extract information on all relevant behavioural and health outcomes, as well as those related to intervention feasibility. Screening and data extraction processes will be carried out independently by two reviewers. Cochrane risk-of-bias tools will be used to assess risk of bias. We will provide a narrative overview of the findings from eligible studies. With sufficient data, a meta-analysis will be conducted. ETHICS AND DISSEMINATION Ethical approval is not required because this study is a systematic review based on published data. We intend to publish our findings in a peer-reviewed journal and present the study at international conferences. PROSPERO REGISTRATION NUMBER CRD42022315166.
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Affiliation(s)
- Shenglin Zheng
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
| | - Sarah Martine Edney
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Jacqueline Louise Mair
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
| | - Tobias Kowatsch
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
- Institute for Implementation Science in Health Care, University of Zürich, Zürich, Switzerland
- School of Medicine, University of St. Gallen, St. Gallen, Switzerland
- Centre for Digital Health Interventions, Department of Management, Technology and Economics, ETH Zürich, Zürich, Switzerland
| | - Oscar Castro
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
| | - Alicia Salamanca-Sanabria
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Digital Health Centre, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Berlin, Germany
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Alshagrawi S, Abidi ST. Efficacy of an mHealth Behavior Change Intervention for Promoting Physical Activity in the Workplace: Randomized Controlled Trial. J Med Internet Res 2023; 25:e44108. [PMID: 37103981 PMCID: PMC10176147 DOI: 10.2196/44108] [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: 11/30/2022] [Revised: 03/17/2023] [Accepted: 03/30/2023] [Indexed: 04/28/2023] Open
Abstract
BACKGROUND Insufficient physical activity (PA) is a well-established risk factor for several noncommunicable diseases such as cardiovascular diseases, cancer, diabetes, depression, and dementia. The World Health Organization (WHO) advises that individuals engage in 150 minutes of moderate PA per week or 75 minutes of intense PA per week. According to the WHO's latest report, 23% of adults fail to meet the minimum recommended level of PA. The percentage was even higher in a recent global study that showed 27% of adults were insufficiently active and reported a 5% increase in the prevalence trend of insufficient PA between 2001 and 2016. The study also showed the rate of insufficient PA among countries varied significantly. For instance, it was estimated that 40% were insufficiently active in the United States, and the percentage was even higher in Saudi Arabia (more than 50%). Governments are actively developing policies and methods to successfully establish a PA-inducing environment that encourages a healthy lifestyle in order to address the global steady decline in PA. OBJECTIVE The purpose of this study was to determine the effectiveness of mobile health (mHealth) interventions, particularly SMS text messaging interventions, to improve PA and decrease BMI in healthy adults in the workplace. METHODS In this parallel, 2-arm randomized controlled trial, healthy adults (N=327) were randomized to receive an mHealth intervention (tailored text messages combined with self-monitoring (intervention; n=166) or no intervention (control; n=161). Adults who were fully employed in an academic institution and had limited PA during working hours were recruited for the study. Outcomes, such as PA and BMI, were assessed at baseline and 3 months later. RESULTS Results showed significant improvement in PA levels (weekly step counts) in the intervention group (β=1097, 95% CI 922-1272, P<.001). There was also a significant reduction in BMI (β=0.60, 95% CI 0.50-0.69, P<.001). CONCLUSIONS Combining tailored text messages and self-monitoring interventions to improve PA and lower BMI was significantly effective and has the potential to leverage current methods to improve wellness among the public.
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Thai YC, Sim D, McCaffrey TA, Ramadas A, Malini H, Watterson JL. A scoping review of digital workplace wellness interventions in low- and middle-income countries. PLoS One 2023; 18:e0282118. [PMID: 36854022 PMCID: PMC9974126 DOI: 10.1371/journal.pone.0282118] [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: 06/21/2022] [Accepted: 02/07/2023] [Indexed: 03/02/2023] Open
Abstract
INTRODUCTION Digital technology-based interventions have gained popularity over the last two decades, due to the ease with which they are scalable and low in implementation cost. Multicomponent health promotion programmes, with significant digital components, are increasingly being deployed in the workplace to assess and promote employees' health behaviours and reduce risk of chronic diseases. However, little is known about workplace digital health interventions in low- and middle- income countries (LMICs). METHODS Various combinations of keywords related to "digital health", "intervention", "workplace" and "developing country" were applied in Ovid MEDLINE, EMBASE, CINAHL Plus, PsycINFO, Scopus and Cochrane Library for peer-reviewed articles in English language. Manual searches were performed to supplement the database search. The screening process was conducted in two phases and a narrative synthesis to summarise the data. The review protocol was written prior to undertaking the review (OSF Registry:10.17605/OSF.IO/QPR9J). RESULTS The search strategy identified 10,298 publications, of which 24 were included. Included studies employed the following study designs: randomized-controlled trials (RCTs) (n = 12), quasi-experimental (n = 4), pilot studies (n = 4), pre-post studies (n = 2) and cohort studies (n = 2). Most of the studies reported positive feedback of the use of digital wellness interventions in workplace settings. CONCLUSIONS This review is the first to map and describe the impact of digital wellness interventions in the workplace in LMICs. Only a small number of studies met the inclusion criteria. Modest evidence was found that digital workplace wellness interventions were feasible, cost-effective, and acceptable. However, long-term, and consistent effects were not found, and further studies are needed to provide more evidence. This scoping review identified multiple digital health interventions in LMIC workplace settings and highlighted a few important research gaps.
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Affiliation(s)
- Yi Chiann Thai
- Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Selangor, Malaysia
| | - Deanna Sim
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Australia
| | - Tracy A. McCaffrey
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Australia
- * E-mail: (JLW); (TAM)
| | - Amutha Ramadas
- Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Selangor, Malaysia
| | - Hema Malini
- Faculty of Nursing, Universitas Andalas, West Sumatra, Indonesia
| | - Jessica L. Watterson
- Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Selangor, Malaysia
- * E-mail: (JLW); (TAM)
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12
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Akksilp K, Koh JJE, Tan V, Tong EH, Budtarad N, Xueying G, Dieterich AV, Tai BC, Müller AM, Isaranuwatchai W, Rouyard T, Nakamura R, Müller-Riemenschneider F, Teerawattananon Y, Chen C. The physical activity at work (PAW) study: a cluster randomised trial of a multicomponent short-break intervention to reduce sitting time and increase physical activity among office workers in Thailand. THE LANCET REGIONAL HEALTH. SOUTHEAST ASIA 2023; 8:100086. [PMID: 37384135 PMCID: PMC10305858 DOI: 10.1016/j.lansea.2022.100086] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/30/2023]
Abstract
Background Sedentary behaviour increases the risks of non-communicable diseases. The objective of this trial was to evaluate the effect of the Physical Activity at Work multicomponent intervention to reduce sedentary behaviour in Thai office workers. Methods Offices under the Ministry of Public Health Thailand, were randomly allocated to the intervention and control group in a 1:1 ratio, stratified by office size. The intervention included individual (pedometer and lottery-based financial incentives), social (group movement breaks), environmental (posters), and organisational (leader encouragement) components. At baseline and 6-month follow-up, participants wore ActiGraphTM on the waist for ten days. The primary outcome was the between-group difference in sedentary time at 6-month, analysed using a linear mixed-effects model. Other outcomes were physical activity, biomarkers, productivity, and musculoskeletal health. Trial registration: The PAW study was registered at the Thai Clinical Trials Registry (ID TCTR20200604007) on 02 June 2020. Findings 282 office workers were recruited and randomly allocated to the control group (142 participants, nine offices) and the intervention group (140 participants, nine offices). The mean age was 38.6 years (SD = 10.4), and 81% were women. There was no evidence of intervention effects on sedentary time during waking hours (-26.8; 95% CI = -69.2 to 15.7 min), physical activity levels, or biomarkers between groups at 6-month. In the adjusted analysis, increases in time spent in moderate-to-vigorous physical activity (5.45; 95% CI = -0.15 to 11.1 min) and step count (718; 95% CI = -45 to 1481 steps) during waking hours were observed, although there was no evidence of a difference between groups. Interpretation The intervention did not significantly reduce sedentary time in Thai office workers. Suboptimal intervention uptake due to Covid-19 pandemic restrictions and loss of statistical power associated with recruitment constraints may explain this result. Further investigations are needed to evaluate the processes of the trial. Funding The Thai Health Promotion Foundation and the International Decision Support Initiative (iDSI).
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Affiliation(s)
- Katika Akksilp
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Health Intervention and Technology Assessment Programme (HITAP), Ministry of Public Health, Thailand
| | - Jemima Jia En Koh
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Vanessa Tan
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Eunice Huiying Tong
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Nuttakarn Budtarad
- Health Intervention and Technology Assessment Programme (HITAP), Ministry of Public Health, Thailand
| | - Guo Xueying
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Anna Valeria Dieterich
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Bee Choo Tai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - Andre Matthias Müller
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Wanrudee Isaranuwatchai
- Health Intervention and Technology Assessment Programme (HITAP), Ministry of Public Health, Thailand
| | - Thomas Rouyard
- Hitotsubashi Institute for Advanced Study, Hitotsubashi University, Japan
| | - Ryota Nakamura
- Hitotsubashi Institute for Advanced Study, Hitotsubashi University, Japan
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - Yot Teerawattananon
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Health Intervention and Technology Assessment Programme (HITAP), Ministry of Public Health, Thailand
| | - Cynthia Chen
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
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13
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Takeuchi H, Suwa K, Kishi A, Nakamura T, Yoshiuchi K, Yamamoto Y. The Effects of Objective Push-Type Sleep Feedback on Habitual Sleep Behavior and Momentary Symptoms in Daily Life: mHealth Intervention Trial Using a Health Care Internet of Things System. JMIR Mhealth Uhealth 2022; 10:e39150. [PMID: 36201383 PMCID: PMC9585447 DOI: 10.2196/39150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 08/12/2022] [Accepted: 08/24/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Sleep is beneficial for physical and mental health. Several mobile and wearable sleep-tracking devices have been developed, and personalized sleep feedback is the most common functionality among these devices. To date, no study has implemented an objective push-type feedback message and investigated the characteristics of habitual sleep behavior and diurnal symptoms when receiving sleep feedback. OBJECTIVE We conducted a mobile health intervention trial to examine whether sending objective push-type sleep feedback changes the self-reported mood, physical symptoms, and sleep behavior of Japanese office workers. METHODS In total, 31 office workers (mean age 42.3, SD 7.9 years; male-to-female ratio 21:10) participated in a 2-arm intervention trial from November 30 to December 19, 2020. The participants were instructed to indicate their momentary mood and physical symptoms (depressive mood, anxiety, stress, sleepiness, fatigue, and neck and shoulder stiffness) 5 times a day using a smartphone app. In addition, daily work performance was rated once a day after work. They were randomly assigned to either a feedback or control group, wherein they did or did not receive messages about their sleep status on the app every morning, respectively. All participants wore activity monitors on their nondominant wrists, through which objective sleep data were registered on the web on a server. On the basis of the estimated sleep data on the server, personalized sleep feedback messages were generated and sent to the participants in the feedback group using the app. These processes were fully automated. RESULTS Using hierarchical statistical models, we examined the differences in the statistical properties of sleep variables (sleep duration and midpoint of sleep) and daily work performance over the trial period. Group differences in the diurnal slopes for mood and physical symptoms were examined using a linear mixed effect model. We found a significant group difference among within-individual residuals at the midpoint of sleep (expected a posteriori for the difference: -15, 95% credible interval -26 to -4 min), suggesting more stable sleep timing in the feedback group. However, there were no significant group differences in daily work performance. We also found significant group differences in the diurnal slopes for sleepiness (P<.001), fatigue (P=.002), and neck and shoulder stiffness (P<.001), which was largely due to better scores in the feedback group at wake-up time relative to those in the control group. CONCLUSIONS This is the first mobile health study to demonstrate that objective push-type sleep feedback improves sleep timing of and physical symptoms in healthy office workers. Future research should incorporate specific behavioral instructions intended to improve sleep habits and examine the effectiveness of these instructions.
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Affiliation(s)
- Hiroki Takeuchi
- Graduate School of Education, The University of Tokyo, Tokyo, Japan
| | - Kaori Suwa
- Graduate School of Education, The University of Tokyo, Tokyo, Japan
| | - Akifumi Kishi
- Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Precursory Research for Embryonic Science and Technology, Japan Science and Technology Agency, Saitama, Japan
| | - Toru Nakamura
- Graduate School of Engineering Science, Osaka University, Osaka, Japan
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14
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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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15
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Lucerón-Lucas-Torres MI, Valera-Ortín J. Health technology tools used to increase physical activity and improve cardiovascular parameters in older adults: A review. ENFERMERIA CLINICA (ENGLISH EDITION) 2022; 32:171-183. [PMID: 35078754 DOI: 10.1016/j.enfcle.2021.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 05/29/2021] [Indexed: 06/14/2023]
Abstract
INTRODUCTION Ageing is a period of physical and psychological changes. Inactivity is one of the biggest problems among the older adult population increasing the risk of sarcopenia and chronic diseases. Physical activity is an effective intervention to improve health outcomes. In recent years, there has been an increase in the use of technology, with health technology tools (ICT) appearing as an intervention to increase physical activity and improve associated health problems. OBJECTIVE In this review, we evaluated the effectiveness of health technology to increase physical activity and to improve cardiovascular parameters in older adults. METHODOLOGY Studies with a great variety of health technology tools to increase physical activity levels, and that evaluated the effect of that increase on cardiovascular parameters were included by searching the main databases. RESULTS Eleven studies reporting the use of a variety of ICT tools were included in this review. Despite these differences, the effectiveness of health technology tool interventions has been demonstrated in increasing physical activity and reducing cardiovascular parameters. DISCUSSION The lack of adherence of older adults to health technology would be a disadvantage, but it has been shown that younger older adults are more familiar with health technology tools and the number using them is increasing. CONCLUSION Health technology tools show effectiveness in increasing physical activity in older adults and improving cardiovascular parameters.
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Affiliation(s)
| | - Jorge Valera-Ortín
- Facultad de Enfermería de Cuenca, Edificio Melchor Cano, Universidad de Castilla-La Mancha, Cuenca, Spain
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16
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Lucerón-Lucas-Torres MI, Valera-Ortín J. TIC en actividad física y parámetros cardiovasculares en mayores: una revisión. ENFERMERIA CLINICA 2022. [DOI: 10.1016/j.enfcli.2021.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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17
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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: 14] [Impact Index Per Article: 7.0] [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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18
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Jung J, Cho I. Promoting Physical Activity and Weight Loss With mHealth Interventions Among Workers: Systematic Review and Meta-analysis of Randomized Controlled Trials. JMIR Mhealth Uhealth 2022; 10:e30682. [PMID: 35060913 PMCID: PMC8817216 DOI: 10.2196/30682] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 09/17/2021] [Accepted: 12/14/2021] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Physical activity (PA) is a vital factor in promoting health in the workforce. Mobile health (mHealth) interventions have recently emerged in workplace health promotion as an effective strategy for inducing changes in health behaviors among workers; however, the effectiveness of mHealth interventions in promoting PA and weight loss for workers is unclear. OBJECTIVE This study aims to provide a comprehensive analysis of current evidence on the effectiveness of mHealth interventions in promoting PA and weight loss among workers. METHODS We searched relevant databases, including PubMed, Embase, CINAHL Complete, and the Cochrane Library, for publications on mHealth interventions in the English or Korean language from inception to December 2020. Randomized controlled trials that evaluated the effectiveness of mHealth in improving PA and weight loss were retrieved. A meta-analysis with a random effects model and subgroup analyses was performed on PA types and mHealth intervention characteristics. RESULTS A total of 8 studies were included in this analysis. More than half of the studies (5/8, 63%) were identified as having a high risk of bias. The mHealth intervention group showed a significant improvement in PA (standardized mean difference [SMD] 0.22, 95% CI 0.03-0.41; P<.001; I2=78%). No significant difference in weight loss was observed when comparing the intervention group with the control groups (SMD 0.02, 95% CI -0.07 to 0.10; P=.48; I2=0%). A subgroup analysis was also performed; walking activity (SMD 0.70, 95% CI 0.21-1.19; P<.001; I2=83.3%), a multicomponent program (SMD 0.19, 95% CI 0.05-0.33; P=.03; I2=57.4%), objective measurement (SMD 0.58, 95% CI 0.05-1.10; P<.001; I2=87.3%), and 2 or more delivery modes (SMD 0.44, 95% CI 0.01-0.87; P<.001; I2=85.1%) were significantly associated with an enhancement in PA. CONCLUSIONS This study suggests that mHealth interventions are effective for improving PA among workers. Future studies that assess long-term efficacy with a larger population are recommended.
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Affiliation(s)
- Jiyeon Jung
- Department of Nursing, Korea National Open University, Seoul, Republic of Korea
| | - Inhae Cho
- College of Nursing, Korea University, Seoul, Republic of Korea
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19
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Counson I, Bartholomew A, Crawford J, Petrie K, Basarkod G, Moynihan V, Pires J, Cohen R, Glozier N, Harvey S, Sanatkar S. Development of the Shift Smartphone App to Support the Emotional Well-Being of Junior Physicians: Design of a Prototype and Results of Usability and Acceptability Testing. JMIR Form Res 2021; 5:e26370. [PMID: 34860662 PMCID: PMC8686399 DOI: 10.2196/26370] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 04/09/2021] [Accepted: 10/21/2021] [Indexed: 01/20/2023] Open
Abstract
Background Junior physicians report higher levels of psychological distress than senior doctors and report several barriers to seeking professional mental health support, including concerns about confidentiality and career progression. Mobile health (mHealth) apps may be utilized to help overcome these barriers to assist the emotional well-being of this population and encourage help-seeking. Objective This study describes the development and pilot trial of the Shift mHealth app to provide an unobtrusive avenue for junior physicians to seek information about, and help for, well-being and mental health concerns, which is sensitive to workplace settings. Methods A 4-phase iterative development process was undertaken to create the content and features of Shift involving junior physicians using the principles of user-centered design. These 4 phases were—needs assessment, on the basis of interviews with 12 junior physicians; prototype development with user experience feedback from 2 junior physicians; evaluation, consisting of a pilot trial with 22 junior physicians to assess the usability and acceptability of the initial prototype; and redesign, including user experience workshops with 51 junior physicians. Results Qualitative results informed the content and design of Shift to ensure that the app was tailored to junior physicians’ needs. The Shift app prototype contained cognitive behavioral, mindfulness, value-based actions, and psychoeducational modules, as well as a tracking function that visualized patterns of daily variations in mood and health behaviors. Pilot-testing revealed possible issues with the organization of the app content, which were addressed through a thorough restructuring and redesign of Shift with the help of junior physicians across 3 user experience workshops. Conclusions This study demonstrates the importance of ongoing end user involvement in the creation of a specialized mHealth app for a unique working population experiencing profession-specific stressors and barriers to help-seeking. The development and pilot trial of this novel Shift mHealth app are the first steps in addressing the mental health and support-seeking needs of junior physicians, although further research is required to validate its effectiveness and appropriateness on a larger scale.
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Affiliation(s)
- Isabelle Counson
- Black Dog Institute, Randwick, Australia.,School of Psychiatry, Faculty of Medicine, UNSW Sydney, Kensington, Australia
| | | | - Joanna Crawford
- Black Dog Institute, Randwick, Australia.,School of Psychiatry, Faculty of Medicine, UNSW Sydney, Kensington, Australia
| | - Katherine Petrie
- Black Dog Institute, Randwick, Australia.,School of Psychiatry, Faculty of Medicine, UNSW Sydney, Kensington, Australia
| | - Geetanjali Basarkod
- Institute for Positive Psychology and Education, Australian Catholic University, North Sydney, Australia
| | | | | | | | - Nicholas Glozier
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Australia
| | - Samuel Harvey
- Black Dog Institute, Randwick, Australia.,School of Psychiatry, Faculty of Medicine, UNSW Sydney, Kensington, Australia
| | - Samineh Sanatkar
- Black Dog Institute, Randwick, Australia.,School of Psychiatry, Faculty of Medicine, UNSW Sydney, Kensington, Australia
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20
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McCool J, Dobson R, Whittaker R, Paton C. Mobile Health (mHealth) in Low- and Middle-Income Countries. Annu Rev Public Health 2021; 43:525-539. [PMID: 34648368 DOI: 10.1146/annurev-publhealth-052620-093850] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
This article reflects on current trends and proposes new considerations for the future of mobile technologies for health (mHealth). Our focus is predominantly on the value of and concerns with regard to the application of digital health within low- and middle-income countries (LMICs). It is in LMICs and marginalized communities that mHealth (within the wider scope of digital health) could be most useful and valuable. Peer-reviewed literature on mHealth in LMICs provides reassurance of this potential, often reflecting on the ubiquity of mobile phones and ever-increasing connectivity globally, reaching remote or otherwise disengaged populations. Efforts to adapt successful programs for LMIC contexts and populations are only just starting to reap rewards. Private-sector investment in mHealth offers value through enhanced capacity and advances in technology as well as the ability to meet increasing consumer demand for real-time, accessible, convenient, and choice-driven health care options. We examine some of the potential considerations associated with a private-sector investment, questioning whether a core of transparency, local ownership, equity, and safety are likely to be upheld in the current environment of health entrepreneurship. Expected final online publication date for the Annual Review of Public Health, Volume 43 is April 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Judith McCool
- School of Population Health, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand;
| | - Rosie Dobson
- National Institute for Health Innovation, School of Population Health, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand
| | - Robyn Whittaker
- National Institute for Health Innovation, School of Population Health, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand.,i3 Institute for Innovation and Improvement, Waitemata District Health Board, North Shore Hospital, Auckland, New Zealand
| | - Chris Paton
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.,Department of Information Science, University of Otago, Dunedin, New Zealand
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21
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Muntaner-Mas A, Sanchez-Azanza VA, Ortega FB, Vidal-Conti J, Borràs PA, Cantallops J, Palou P. The effects of a physical activity intervention based on a fatness and fitness smartphone app for University students. Health Informatics J 2021; 27:1460458220987275. [PMID: 33446036 DOI: 10.1177/1460458220987275] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Since the 2012 Lancet Series on physical activity, progress regarding this topic has been negligible at global level. Thus, improving physical activity levels in specific populations through new methodologies is positioned as a priority. The aim of this study was to determine the effects of a physical activity intervention on body fatness composition, and measured and self-reported physical fitness components based on the use of a smartphone app. The investigation included 100 Spanish university students, cluster-randomized into the smartphone app intervention group or a control group (n = 35 and n = 31 respectively, after applying exclusion criteria). The physical activity intervention comprised a 9-week programme designed to promote a healthy physical activity pattern using a smartphone app. Specifically, an mHealth approach was taken containing five BCTs. The results showed that the intervention group improved their physical fitness (F = 8.1, p = .006) and reported better general scores in self-reported physical fitness (F = 7.4, p = .008) over time, in comparison to the control group. However, the intervention group did not show any changes to their fatness. Further research is needed to disentangle which BCTs are more effective to achieve physical health improvements when using physical activity apps.
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Affiliation(s)
- Adrià Muntaner-Mas
- Physical Activity and Sports Research Group (GICAFE), Faculty of Education, University of Balearic Islands, Balearic Islands, Spain.,PROmoting FITness and Health through physical activity Research Group (PROFITH), Department of Physical Education and Sports, Faculty of Sports Sciences, University of Granada, Granada, Spain
| | - Victor A Sanchez-Azanza
- Department of Applied Pedagogy and Educational Psychology, Faculty of Education, University of Balearic Islands, Balearic Islands, Spain
| | - Francisco B Ortega
- PROmoting FITness and Health through physical activity Research Group (PROFITH), Department of Physical Education and Sports, Faculty of Sports Sciences, University of Granada, Granada, Spain
| | | | | | | | - Pere Palou
- Physical Activity and Sports Research Group (GICAFE), Faculty of Education, University of Balearic Islands, Balearic Islands, Spain
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22
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Yang Q, Mitchell ES, Ho AS, DeLuca L, Behr H, Michaelides A. Cross-National Outcomes of a Digital Weight Loss Intervention in the United States, Canada, United Kingdom and Ireland, and Australia and New Zealand: A Retrospective Analysis. Front Public Health 2021; 9:604937. [PMID: 34178911 PMCID: PMC8222510 DOI: 10.3389/fpubh.2021.604937] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 05/07/2021] [Indexed: 11/30/2022] Open
Abstract
Mobile health (mHealth) interventions are ubiquitous and effective treatment options for obesity. There is a widespread assumption that the mHealth interventions will be equally effective in other locations. In an initial test of this assumption, this retrospective study assesses weight loss and engagement with an mHealth behavior change weight loss intervention developed in the United States (US) in four English-speaking regions: the US, Australia and New Zealand (AU/NZ), Canada (CA), and the United Kingdom and Ireland (UK/IE). Data for 18,459 participants were extracted from the database of Noom's Healthy Weight Program. Self-reported weight was collected every week until program end (week 16). Engagement was measured using user-logged and automatically recorded actions. Linear mixed models were used to evaluate change in weight over time, and ANOVAs evaluated differences in engagement. In all regions, 27.2–33.2% of participants achieved at least 5% weight loss by week 16, with an average of 3–3.7% weight loss. Linear mixed models revealed similar weight outcomes in each region compared to the US, with a few differences. Engagement, however, significantly differed across regions (P < 0.001 on 5 of 6 factors). Depending on the level of engagement, the rate of weight loss over time differed for AU/NZ and UK/IE compared to the US. Our findings have important implications for the use and understanding of digital weight loss interventions worldwide. Future research should investigate the determinants of cross-country engagement differences and their long-term effects on intervention outcomes.
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Affiliation(s)
| | | | | | - Laura DeLuca
- Noom Inc., New York, NY, United States.,Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, United States
| | - Heather Behr
- Noom Inc., New York, NY, United States.,Department of Integrative Health, Saybrook University, Pasadena, CA, United States
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23
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Darker CD, Moore E, Flynn E, O'Neill M, Doherty L, McMahon J, McLoughlin O, Rouine E, Ivers JH, Allwright S, McGrath D, Seery A, McAndrew M, Barrett E, Tanner M, Bennett AE, Brennan S, Mullin M, Barry JM. Development and proposed evaluation of an eHealth learning tool for undergraduate university students in Ireland. Health Promot Int 2021; 37:6289848. [PMID: 34056643 DOI: 10.1093/heapro/daab071] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Undergraduate university students are at a critical stage of development in terms of their academic, social, psychological and behavioural health. Patterns established during these formative years can last a lifetime. eHealth tools have the potential to be engaging, convenient and accessible to a wide range of students by providing health information and enhancing the uptake of positive health behaviours. The 'Healthy Trinity Online Tool' (H-TOT) was developed in collaboration with students and a transdisciplinary team with decades of experience between them in terms of research, clinical responsibility and service delivery. Developmental steps undertaken included: a literature review to formulate the topic content choices; a survey of students to check the relevance and suitability of topics identified; and, the tacit experience of the development team. This co-design model led to the development of content encompassing academic life, healthy eating, physical activity, mood, financial matters, alcohol, tobacco, drugs and relaxation. Qualitative focus groups were subsequently conducted for in-depth exploration of the usage and functionality of H-TOT. The theoretical underpinnings include the locus of control and social cognitive theory. Evidence-based behavioural change techniques are embedded throughout. During early pre-piloting of H-TOT, the team identified and solved content functionality problems. The tone of the content was also revised to ensure it was non-judgemental. To make the H-TOT as interactive as possible, video scenarios were included and all content was audio-recorded to allow playback for students with visual or learning difficulties. Evaluation plans for the pilot year of H-TOT are outlined.
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Affiliation(s)
- Catherine D Darker
- Discipline of Public Health & Primary Care, Institute of Population Health Sciences, School of Medicine, Trinity College Dublin, Russell Centre, Tallaght Cross, Dublin, D24 DH74, Ireland
| | - Emma Moore
- Discipline of Public Health & Primary Care, Institute of Population Health Sciences, School of Medicine, Trinity College Dublin, Russell Centre, Tallaght Cross, Dublin, D24 DH74, Ireland
| | - Ellen Flynn
- Discipline of Public Health & Primary Care, Institute of Population Health Sciences, School of Medicine, Trinity College Dublin, Russell Centre, Tallaght Cross, Dublin, D24 DH74, Ireland
| | - Mary O'Neill
- School of Medicine, Trinity Centre for Health Sciences, St James's Healthcare Campus, Old Stone Building, Dublin, D08 W9RT, Ireland
| | - Lena Doherty
- Faculty of Health Sciences, The University of Dublin, Trinity College, College Street, Dublin, D02 PN40, Ireland
| | - Jean McMahon
- Library Services, Tallaght University Hospital, Tallaght, Dublin, D24 NR04, Ireland
| | - Orla McLoughlin
- Student Counselling Service, 7-9 Leinster Street South, Dublin, D02 K104, Ireland
| | - Eimear Rouine
- Office of Chief Operating Officer, The University of Dublin, Trinity College, West Theatre, Dublin, D02 PN40, Ireland
| | - Jo-Hanna Ivers
- Discipline of Public Health & Primary Care, Institute of Population Health Sciences, School of Medicine, Trinity College Dublin, Russell Centre, Tallaght Cross, Dublin, D24 DH74, Ireland
| | - Shane Allwright
- Discipline of Public Health & Primary Care, Institute of Population Health Sciences, School of Medicine, Trinity College Dublin, Russell Centre, Tallaght Cross, Dublin, D24 DH74, Ireland
| | - David McGrath
- College Health Service, The University of Dublin, Trinity College, College Street, House 47, Dublin, D02 PN40, Ireland
| | - Aidan Seery
- Senior Tutor Office, The University of Dublin, Trinity College, College Street, House 27, Dublin, D02 PN40, Ireland
| | - Martin McAndrew
- Senior Tutor Office, The University of Dublin, Trinity College, College Street, House 27, Dublin, D02 PN40, Ireland
| | - Emer Barrett
- Discipline of Physiotherapy, Trinity Centre for Health Sciences, St James's Healthcare Campus, Dublin, D08 W9RT, Ireland
| | - Michelle Tanner
- Trinity College Sports Centre, The University of Dublin, Trinity College, 43 Pearse Street, Dublin, D02 WO85, Ireland
| | - Annemarie E Bennett
- Unit of Nutrition and Dietetics, Discipline of Clinical Medicine, Trinity Centre for Health Sciences, St James's Healthcare Campus, Dublin, D08 W9RT, Ireland
| | - Sabina Brennan
- ADAPT Centre, O'Reilly Institute, The University of Dublin, Trinity College, College Street, Dublin, D02 PN40, Ireland
| | - Martina Mullin
- College Health Service, The University of Dublin, Trinity College, College Street, House 47, Dublin, D02 PN40, Ireland
| | - Joe M Barry
- Discipline of Public Health & Primary Care, Institute of Population Health Sciences, School of Medicine, Trinity College Dublin, Russell Centre, Tallaght Cross, Dublin, D24 DH74, Ireland
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24
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Khoo S, Mohbin N, Ansari P, Al-Kitani M, Müller AM. mHealth Interventions to Address Physical Activity and Sedentary Behavior in Cancer Survivors: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18115798. [PMID: 34071342 PMCID: PMC8198944 DOI: 10.3390/ijerph18115798] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 05/19/2021] [Accepted: 05/25/2021] [Indexed: 12/25/2022]
Abstract
This review aimed to identify, evaluate, and synthesize the scientific literature on mobile health (mHealth) interventions to promote physical activity (PA) or reduce sedentary behavior (SB) in cancer survivors. We searched six databases from 2000 to 13 April 2020 for controlled and non-controlled trials published in any language. We conducted best evidence syntheses on controlled trials to assess the strength of the evidence. All 31 interventions included in this review measured PA outcomes, with 10 of them also evaluating SB outcomes. Most study participants were adults/older adults with various cancer types. The majority (n = 25) of studies implemented multicomponent interventions, with activity trackers being the most commonly used mHealth technology. There is strong evidence for mHealth interventions, including personal contact components, in increasing moderate-to-vigorous intensity PA among cancer survivors. However, there is inconclusive evidence to support mHealth interventions in increasing total activity and step counts. There is inconclusive evidence on SB potentially due to the limited number of studies. mHealth interventions that include personal contact components are likely more effective in increasing PA than mHealth interventions without such components. Future research should address social factors in mHealth interventions for PA and SB in cancer survivors.
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Affiliation(s)
- Selina Khoo
- Centre for Sport and Exercise Sciences, University of Malaya, Kuala Lumpur 50603, Malaysia;
- Correspondence: (S.K.); (A.M.M.)
| | - Najihah Mohbin
- Centre for Sport and Exercise Sciences, University of Malaya, Kuala Lumpur 50603, Malaysia;
| | - Payam Ansari
- DCU Business School, Dublin City University, Dublin, Ireland;
| | - Mahfoodha Al-Kitani
- Physical Education and Sports Sciences Department, College of Education, Sultan Qaboos University, Muscat 123, Oman;
| | - Andre Matthias Müller
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore
- Correspondence: (S.K.); (A.M.M.)
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25
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Niven A, Ryde GC, Wilkinson G, Greenwood C, Gorely T. The Effectiveness of an Annual Nationally Delivered Workplace Step Count Challenge on Changing Step Counts: Findings from Four Years of Delivery. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18105140. [PMID: 34066211 PMCID: PMC8150609 DOI: 10.3390/ijerph18105140] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 05/03/2021] [Accepted: 05/08/2021] [Indexed: 11/26/2022]
Abstract
Paths for All’s 8-week online Workplace Step Count Challenge (SCC) is a flagship program of Scotland’s National Walking Strategy. The aim of this study was to examine changes in step counts throughout the duration of the SCC, across four years of delivery. Participants were those who registered for the 2015–2018 SCCs, and reported demographic data at registration. Participants self-reported their device-measured step count for each day of the SCC. Following data screening, mean daily steps for each week were calculated. Linear mixed models (R nlme procedure), controlling for the within subject nature of the step count measure, were used to explore changes in steps over time. Gender and age group (<45 years; ≥45 years) were entered into a subsequent model. Separate models were created for each year of the SCC and for all years combined. Participants (n = 10,183) were predominantly women (76.8%), aged <45 (54.6%) and ≥45 years. In general, steps increased each week compared to week 1 (p < 0.001), with a significant increase evident at all but seven of 28 data points. Across the four years of SCC, the increase in steps at week 8 compared to week 1 ranged from 506 to 1223 steps per day, making a substantial contribution to the recommended physical activity levels for health. There was no consistent age or gender effect. The findings provide support for the continued investment in such workplace interventions.
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Affiliation(s)
- Ailsa Niven
- Physical Activity for Health Research Centre, Institute of Sport, PE and Health Sciences, University of Edinburgh, Holyrood Road, Edinburgh EH8 8AQ, UK
- Correspondence:
| | - Gemma Cathrine Ryde
- Division of Sport, Faculty of Health Sciences and Sport, University of Stirling, Stirling FK9 4LA, UK; (G.C.R.); (G.W.)
| | - Guy Wilkinson
- Division of Sport, Faculty of Health Sciences and Sport, University of Stirling, Stirling FK9 4LA, UK; (G.C.R.); (G.W.)
| | - Carl Greenwood
- Paths for All, Kintail House, Forthside Way, Stirling FK8 1QZ, UK;
| | - Trish Gorely
- Department of Nursing and Midwifery, Centre for Health Science, University of the Highlands and Islands, Old Perth Road, Inverness IV3 5SQ, UK;
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26
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El Fatouhi D, Delrieu L, Goetzinger C, Malisoux L, Affret A, Campo D, Fagherazzi G. Associations of Physical Activity Level and Variability With 6-Month Weight Change Among 26,935 Users of Connected Devices: Observational Real-Life Study. JMIR Mhealth Uhealth 2021; 9:e25385. [PMID: 33856352 PMCID: PMC8085744 DOI: 10.2196/25385] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 12/31/2020] [Accepted: 02/26/2021] [Indexed: 12/16/2022] Open
Abstract
Background Physical activity (PA) is a modifiable lifestyle factor that can be targeted to increase energy expenditure and promote weight loss. However, the amount of PA required for weight loss remains inconsistent. Wearable activity trackers constitute a valuable opportunity to obtain objective measurements of PA and study large populations in real-life settings. Objective We aim to study the associations of initial device-assessed PA characteristics (average step counts and step count variability) and their evolution with 6-month weight change. Methods We analyzed data from 26,935 Withings-connected device users (wearable activity trackers and digital scales). To assess the initial PA characteristics and their 6-month changes, we used data recorded during the first and sixth 30-day periods of activity tracker use. For each of these periods, we used the monthly mean of daily step values as a proxy for PA level and derived the monthly coefficient of variation (CV) of daily step values to estimate PA level variability. Associations between initial PA characteristics and 6-month weight change were assessed using multivariable linear regression analyses controlled for age, sex, blood pressure, heart rate, and the predominant season. Restricted cubic spline regression was performed to better characterize the continuous shape of the associations between PA characteristics and weight change. Secondary analyses were performed by analyzing the 6-month evolution of PA characteristics in relation to weight change. Results Our results revealed that both a greater PA level and lower PA level variability were associated with weight loss. Compared with individuals who were initially in the sedentary category (<5000 steps/day), individuals who were low active (5000-7499 steps/day), somewhat active (7500-9999 steps/day), and active (≥10,000 steps/day) had a 0.21-kg, a 0.52-kg, and a 1.17-kg greater decrease in weight, respectively (95% CI −0.36 to −0.06, −0.70 to −0.33, and −1.42 to −0.93, respectively). Compared with users whose PA level CV was >63%, users whose PA level CV ranged from 51% to 63%, 40% to 51%, and was ≤40%, had a 0.19-kg, a 0.23-kg, and a 0.33-kg greater decrease in weight, respectively (95% CI −0.38 to −0.01, −0.41 to −0.04, and −0.53 to −0.13, respectively). We also observed that each 1000 steps/day increase in PA level over the 6-month follow-up was associated with a 0.26-kg (95% CI −0.29 to −0.23) decrease in weight. No association was found between the 6-month changes in PA level variability and weight change. Conclusions Our results add to the current body of knowledge that health benefits can be observed below the 10,000 steps/day threshold and suggest that not only increased mean PA level but also greater regularity of the PA level may play important roles in short-term weight loss.
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Affiliation(s)
- Douae El Fatouhi
- Center of Research in Epidemiology and Population Health, UMR 1018 INSERM, Institut Gustave Roussy, Paris-Sud Paris-Saclay University, Villejuif, France
| | - Lidia Delrieu
- Residual Tumor & Response to Treatment Laboratory (RT2Lab), U932 Immunity and Cancer, INSERM, Institut Curie, Paris, France
| | - Catherine Goetzinger
- Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg.,Faculty of Science, Technology and Medicine, University of Luxembourg, Luxembourg, Luxembourg
| | - Laurent Malisoux
- Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Aurélie Affret
- Center of Research in Epidemiology and Population Health, UMR 1018 INSERM, Institut Gustave Roussy, Paris-Sud Paris-Saclay University, Villejuif, France
| | | | - Guy Fagherazzi
- Center of Research in Epidemiology and Population Health, UMR 1018 INSERM, Institut Gustave Roussy, Paris-Sud Paris-Saclay University, Villejuif, France.,Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg
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27
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Pai RR, Alathur S. Bibliometric Analysis and Methodological Review of Mobile Health Services and Applications in India. Int J Med Inform 2020; 145:104330. [PMID: 33248334 DOI: 10.1016/j.ijmedinf.2020.104330] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 08/13/2020] [Accepted: 11/02/2020] [Indexed: 11/20/2022]
Abstract
PURPOSE The purpose of this research is to analyze the literature published on mobile health (mHealth) in the Indian context. It also reviews the most important research works and presents various methodologies adopted by the researchers in this domain. DESIGN/METHODOLOGY/APPROACH The SciVerse SCOPUS database was used for extracting the literature on mobile health. The study used articles published between January 2008 to 28th June 2019. The keyword used is 'mHealth' and journal articles with studies or interventions carried out in India were selected for bibliometric analysis and methodological review. FINDINGS For the keyword search, a total of 7,874 documents have been extracted, of which only 158 have been considered for the analysis. There is an exponential increase in the number of publications from the year 2015 to 2019. The keywords used for representing their articles have been grouped as mobile health devices, gender and age groups, system and software, health and disease condition, management, evidence-based practices (outcome), methods, and importance of the study. The journal PLOS One (87) has the highest number of citations, followed by The Lancet (63). The bibliometric analysis of the literature revealed seven clusters classified as individual's individual's mobile health applications adoption characteristics, need for mobile health and its governance, mobile phone application with the internet of things based framework for healthcare monitoring, mobile health for primary healthcare systems, authentication and security protocol for mobile healthcare, development and experimentation of mobile health application, and development and mobile health for adherence support intervention. ORIGINALITY/VALUE The study contributes in analyzing the bibliometrics and provides a methodological review for the journal articles published on mobile health. Previous articles considered systematic analysis of the bibliometric for mHealth, and mobile technology but less adequately discussed specifically towards Indian context which this study has embraced.
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Affiliation(s)
- Rajesh R Pai
- Department to Humanities and Management, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India.
| | - Sreejith Alathur
- School of Management, National Institute of Technology Karnataka, Surathkal, India
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28
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Nicolson GH, Hayes C, Darker C. A theory-based multicomponent intervention to reduce occupational sedentary behaviour in professional male workers: protocol for a cluster randomised crossover pilot feasibility study. Pilot Feasibility Stud 2020; 6:175. [PMID: 33292787 PMCID: PMC7653741 DOI: 10.1186/s40814-020-00716-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 10/27/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Prolonged sitting, a significant risk factor for increased morbidity and mortality, is accumulated mostly in the workplace. There is limited research targeting specific at-risk populations to reduce occupational sedentary behaviour. A recent study found that professional males have the longest workplace sitting times. Current evidence supports the use of multi-level interventions developed using participative approaches. This study's primary aims are to test the viability of a future definitive intervention trial using a randomised pilot study, with secondary aims to explore the acceptability and feasibility of a multicomponent intervention to reduce workplace sitting. METHODS Two professional companies in Dublin, Ireland, will take part in a cluster randomised crossover pilot study. Office-based males will be recruited and randomised to the control or the intervention arms. The components of the intervention target multiple levels of influence including individual determinants (via mHealth technology to support behaviour change techniques), the physical work environment (via provision of an under-desk pedal machine), and the organisational structures and culture (via management consultation and recruitment to the study). The outcomes measured are recruitment and retention, minutes spent sedentary, and physical activity behaviours, work engagement, and acceptability and feasibility of the workplace intervention. DISCUSSION This study will establish the acceptability and feasibility of a workplace intervention which aims to reduce workplace SB and increase PA. It will identify key methodological and implementation issues that need to be addressed prior to assessing the effectiveness of this intervention in a definitive cluster randomised controlled trial.
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Affiliation(s)
- Gail Helena Nicolson
- Public Health & Primary Care, Trinity College Dublin, Institute of Population Health, Russell Centre, Tallaght Cross, Dublin, D24 DH74 Ireland
| | - Catherine Hayes
- Public Health & Primary Care, Trinity College Dublin, Institute of Population Health, Russell Centre, Tallaght Cross, Dublin, D24 DH74 Ireland
| | - Catherine Darker
- Public Health & Primary Care, Trinity College Dublin, Institute of Population Health, Russell Centre, Tallaght Cross, Dublin, D24 DH74 Ireland
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29
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Buckingham SA, Morrissey K, Williams AJ, Price L, Harrison J. The Physical Activity Wearables in the Police Force (PAW-Force) study: acceptability and impact. BMC Public Health 2020; 20:1645. [PMID: 33143665 PMCID: PMC7607613 DOI: 10.1186/s12889-020-09776-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 10/26/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Policing is a highly stressful and increasingly sedentary occupation. The study aim was to assess the acceptability and impact of a mobile health (mHealth) technology intervention (Fitbit® activity monitor and 'Bupa Boost' smartphone app) to promote physical activity (PA) and reduce sedentary time in the police force. METHODS Single-group, pre-post, mixed methods pilot study. Police officers and staff (n = 180) were recruited from two police forces in South West England. Participants used the technology for 12 weeks (an 'individual' then 'social' phase) followed by 5 months of optional use. Data sources included Fitbit®-recorded objective step count, questionnaire surveys and semi-structured interviews (n = 32). Outcome assessment points were baseline (week 0), mid-intervention (week 6), post-intervention (week 12) and follow-up (month 8). Paired t-tests were used to investigate changes in quantitative outcomes. Qualitative analysis involved framework and thematic analysis. RESULTS Changes in mean daily step count were non-significant (p > 0.05), but self-reported PA increased in the short term (e.g. + 465.4 MET-minutes/week total PA baseline to week 12, p = 0.011) and longer term (e.g. + 420.5 MET-minutes/week moderate-to-vigorous PA baseline to month 8, p = 0.024). The greatest impact on behaviour was perceived by less active officers and staff. There were no significant changes in sedentary time; the qualitative findings highlighted the importance of context and external influences on behaviour. There were no statistically significant changes (all p-values > 0.05) in any secondary outcomes (physical and mental health-related quality of life, perceived stress and perceived productivity), with the exception of an improvement in mental health-related quality of life (SF-12 mental component score + 1.75 points, p = 0.020) from baseline to month 8. Engagement with and perceived acceptability of the intervention was high overall, but a small number of participants reported negative physical (skin irritation) and psychological (feelings of guilt and anxiety) consequences of technology use. Individual app features (such as goal-setting and self-monitoring) were generally preferred to social components (social comparison, competitions and support). CONCLUSIONS mHealth technology is an acceptable and potentially impactful intervention for increasing PA in the police force. The intervention was less useful for reducing sedentary time and the impact on secondary outcomes is unclear. TRIAL REGISTRATION NCT03169179 (registered 30th May 2017).
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Affiliation(s)
- Sarah Ann Buckingham
- European Centre for Environment and Human Health, Knowledge Spa, Royal Cornwall Hospitals NHS Trust, University of Exeter Medical School, 2nd Floor Knowledge Spa, Royal Cornwall Hospital, Truro, TR1 3HD, UK.
| | - Karyn Morrissey
- European Centre for Environment and Human Health, Knowledge Spa, Royal Cornwall Hospitals NHS Trust, University of Exeter Medical School, 2nd Floor Knowledge Spa, Royal Cornwall Hospital, Truro, TR1 3HD, UK
| | - Andrew James Williams
- European Centre for Environment and Human Health, Knowledge Spa, Royal Cornwall Hospitals NHS Trust, University of Exeter Medical School, 2nd Floor Knowledge Spa, Royal Cornwall Hospital, Truro, TR1 3HD, UK.,Population and Behavioural Science, School of Medicine, University of St Andrews, St Andrews, UK
| | - Lisa Price
- Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - John Harrison
- Occupational Health Support Unit, Devon and Cornwall Police, Middlemoor, Exeter, UK
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30
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Gil-Cosano JJ, Ubago-Guisado E, Sánchez MJ, Ortega-Acosta MJ, Mateos ME, Benito-Bernal AI, Llorente-Cantarero FJ, Ortega FB, Ruiz JR, Labayen I, Martinez-Vizcaino V, Vlachopoulos D, Arroyo-Morales M, Muñoz-Torres M, Pascual-Gázquez JF, Vicho-González MC, Gracia-Marco L. The effect of an online exercise programme on bone health in paediatric cancer survivors (iBoneFIT): study protocol of a multi-centre randomized controlled trial. BMC Public Health 2020; 20:1520. [PMID: 33032564 PMCID: PMC7545891 DOI: 10.1186/s12889-020-09607-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 09/14/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND New approaches on paediatric cancer treatment aim to maintain long-term health. As a result of radiotherapy, chemotherapy or surgery, paediatric cancer survivors tend to suffer from any chronic health condition. Endocrine dysfunction represents one of the most common issues and affects bone health. Exercise is key for bone mass accrual during growth, specifically plyometric jump training. The iBoneFIT study will investigate the effect of a 9-month online exercise programme on bone health in paediatric cancer survivors. This study will also examine the effect of the intervention on body composition, physical fitness, physical activity, calcium intake, vitamin D, blood samples quality of life and mental health. METHODS A minimum of 116 participants aged 6 to 18 years will be randomized into an intervention (n = 58) or control group (n = 58). The intervention group will receive an online exercise programme and diet counselling on calcium and vitamin D. In addition, five behaviour change techniques and a gamification design will be implemented in order to increase the interest of this non-game programme. The control group will only receive diet counselling. Participants will be assessed on 3 occasions: 1) at baseline; 2) after the 9 months of the intervention; 3) 4 months following the intervention. The primary outcome will be determined by dual energy X-ray absorptiometry (DXA) and the hip structural analysis, trabecular bone score and 3D-DXA softwares. Secondary outcomes will include anthropometry, body composition, physical fitness, physical activity, calcium and vitamin D intake, blood samples, quality of life and mental health. DISCUSSION Whether a simple, feasible and short in duration exercise programme can improve bone health has not been examined in paediatric cancer survivors. This article describes the design, rationale and methods of a study intended to test the effect of a rigorous online exercise programme on bone health in paediatric cancer survivors. If successful, the iBoneFIT study will contribute to decrease chronic health conditions in this population and will have a positive impact in the society. TRIAL REGISTRATION Prospectively registered in isrctn.com: isrctn61195625 . Registered 2 April 2020.
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Affiliation(s)
- Jose J Gil-Cosano
- 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, 18071, Granada, Spain
| | - Esther Ubago-Guisado
- 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, 18071, Granada, Spain
| | - Maria J Sánchez
- Andalusian School of Health (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria Ibs.GRANADA, Granada, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Maria J Ortega-Acosta
- Servicio de Pediatría y Oncohematología Pediátricas, Hospital Universitario Virgen de las Nieves, Granada, Spain
| | - Maria E Mateos
- Pediatric Oncology Unit, Department of Pediatrics, Reina Sofia University Hospital, Córdoba, Spain
- Maimonides Institute for Research in Biomedicine of Cordoba (IMIBIC), Córdoba, Spain
| | | | - Francisco J Llorente-Cantarero
- Maimonides Institute for Research in Biomedicine of Cordoba (IMIBIC), Córdoba, Spain
- CIBEROBN, (Physiopathology of Obesity and Nutrition) Institute of Health Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Specific Didactics, Faculty of Education, University of Córdoba, 14071, Córdoba, Spain
| | - Francisco B Ortega
- 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, 18071, Granada, Spain
| | - Jonatan R Ruiz
- 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, 18071, Granada, Spain
| | - Idoia Labayen
- Institute for Innovation and Sustainable Development in Food Chain (IS-FOOD), Navarra's Health Research Institute (IdiSNA), Department of Health Sciences, Public University of Navarra, Calle Tajonar 22, 31006, Pamplona, Navarra, Spain
| | - Vicente Martinez-Vizcaino
- Universidad de Castilla-La Mancha, Health and Social Research Center, Cuenca, Spain
- Faculty of Health Sciences, Universidad Autónoma de Chile, Talca, Chile
| | - Dimitris Vlachopoulos
- Children's Health and Exercise Research Centre, Sport and Health Sciences, University of Exeter, Exeter, UK
| | - Manuel Arroyo-Morales
- Biohealth Research Institute in Granada (ibs.GRANADA), E-18012, Granada, Spain
- Department of Physiotherapy, University of Granada, E-18016, Granada, Spain
- "Cuídate" Support Unit for Oncology Patients (UAPO), Sport and Health University Research Institute (iMUDS), E-18016, Granada, Spain
| | - Manuel Muñoz-Torres
- Bone Metabolic Unit, Endocrinology and Nutrition Division, Hospital Universitario San Cecilio, Instituto de Investigación Biosanitaria de Granada (Ibs.GRANADA), Granada, Spain
- CIBERFES, Instituto de Salud Carlos III, Madrid, Spain
- Department of Medicine, Universidad de Granada, Granada, Spain
| | - Juan F Pascual-Gázquez
- Servicio de Pediatría y Oncohematología Pediátricas, Hospital Universitario Virgen de las Nieves, Granada, Spain
| | - Maria C Vicho-González
- Pediatric Oncology Unit, Department of Pediatrics, Reina Sofia University Hospital, Córdoba, Spain
| | - Luis Gracia-Marco
- 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, 18071, Granada, Spain.
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Lear SA, Gasevic D. Ethnicity and Metabolic Syndrome: Implications for Assessment, Management and Prevention. Nutrients 2019; 12:nu12010015. [PMID: 31861719 PMCID: PMC7019432 DOI: 10.3390/nu12010015] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 12/12/2019] [Accepted: 12/17/2019] [Indexed: 02/06/2023] Open
Abstract
The metabolic syndrome (MetS) is a constellation of cardiometabolic risk factors that identifies people at increased risk for type 2 diabetes and cardiovascular disease. While the global prevalence is 20%–25% of the adult population, the prevalence varies across different racial/ethnic populations. In this narrative review, evidence is reviewed regarding the assessment, management and prevention of MetS among people of different racial/ethnic groups. The most popular definition of MetS considers race/ethnicity for assessing waist circumference given differences in visceral adipose tissue and cardiometabolic risk. However, defining race/ethnicity may pose challenges in the clinical setting. Despite 80% of the world’s population being of non-European descent, the majority of research on management and prevention has focused on European-derived populations. In these studies, lifestyle management has proven an effective therapy for reversal of MetS, and randomised studies are underway in specific racial/ethnic groups. Given the large number of people at risk for MetS, prevention efforts need to focus at community and population levels. Community-based interventions have begun to show promise, and efforts to improve lifestyle behaviours through alterations in the built environment may be another avenue. However, careful consideration needs to be given to take into account the unique cultural context of the target race/ethnic group.
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Affiliation(s)
- Scott A. Lear
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC V5A 1S6, Canada
- Division of Cardiology, Providence Health Care, Vancouver, BC V6Z 1Y6, Canada
- Correspondence: ; Tel.: +1-604-682-2344 (ext. 62778)
| | - Danijela Gasevic
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia;
- Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK
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Li J, Hodgson N, Lyons MM, Chen KC, Yu F, Gooneratne NS. A personalized behavioral intervention implementing mHealth technologies for older adults: A pilot feasibility study. Geriatr Nurs 2019; 41:313-319. [PMID: 31810730 DOI: 10.1016/j.gerinurse.2019.11.011] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 11/17/2019] [Accepted: 11/19/2019] [Indexed: 01/25/2023]
Abstract
Sedentary behavior has been associated with adverse health outcomes such as disturbed sleep in older adults. We conducted a single-group pretest and posttest study to evaluate the feasibility of a personalized behavioral intervention program using mobile health technology in improving physical activity and sleep in older adults. The four-week intervention included: personalized physical activity training, real-time physical activity self-monitoring, interactive prompts and feedback with a smartwatch, phone consultation with an exercise trainer and research team members, and weekly financial incentives for achieving weekly physical activity goals. Eight cognitively intact older adults were recruited and completed the study. Findings suggested that the intervention was feasible in this sample of older adults and provided favorable changes in levels of physical activity during the intervention and at post-intervention. Future studies will include a fully powered trial to evaluate the efficacy of this intervention in sedentary older adults.
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Affiliation(s)
- Junxin Li
- Johns Hopkins School of Nursing, 525 North Wolfe Street, Baltimore, MD 21205, United States.
| | - Nancy Hodgson
- University of Pennsylvania School of Nursing, United States
| | - M Melanie Lyons
- University of Pennsylvania School of Nursing, United States; The Ohio State University College of Medicine, United States
| | - Ker-Cheng Chen
- University of Pennsylvania School of Medicine, United States
| | - Fang Yu
- University of Minnesota School of Nursing, United States
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Puigdomenech Puig E, Robles N, Saigí-Rubió F, Zamora A, Moharra M, Paluzie G, Balfegó M, Cuatrecasas Cambra G, Garcia-Lorda P, Carrion C. Assessment of the Efficacy, Safety, and Effectiveness of Weight Control and Obesity Management Mobile Health Interventions: Systematic Review. JMIR Mhealth Uhealth 2019; 7:e12612. [PMID: 31654566 PMCID: PMC6913727 DOI: 10.2196/12612] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Revised: 05/29/2019] [Accepted: 08/19/2019] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND The use of apps to tackle overweight and obesity by tracking physical and dietary patterns and providing recommendations and motivation strategies to achieve personalized goals has increased over recent years. However, evidence of the efficacy, effectiveness, and safety of these apps is severely lacking. OBJECTIVE The aim of this study was to identify efficacy, safety, and effectiveness criteria used to assess weight control, overweight, and obesity management in mobile health (mHealth) interventions through a systematic review. METHODS PubMed, PsycINFO, Scopus, UK Trial Database, ClinicalTrials.gov, and the Cochrane Library were surveyed up to May 2018. All types of clinical studies were considered. A total of 2 independent reviewers assessed quality using Scottish Intercollegiate Guidelines Network (SIGN) criteria. Ratings were used to provide an overall score for each study (low, moderate, or high). Data were synthesized in evidence tables. RESULTS From 233 potentially relevant publications, only 28 studies were included. Of these, 13 (46%) were randomized control trials, 11 were single-arm studies (39%), 3 were nonrandomized controlled trials (11%), and 1 study was a cluster randomized trial (4%). The studies were classified as low (15), high (7), and moderate (6) quality according to SIGN criteria. All studies focused on efficacy, with only 1 trial mentioning safety and another 1 effectiveness. In 11 studies, the apps were used as stand-alone interventions, the others were multicomponent studies that included other tools for support such as sensors or websites. The main management tool included in the apps was feedback messaging (24), followed by goal-setting mechanisms (20) and self-monitoring (19). The majority of studies took weight or body mass index loss as the main outcome (22) followed by changes in physical activity (14) and diet (12). Regarding outputs, usability, adherence, and engagement (17) were the most reported, followed by satisfaction (7) and acceptability (4). CONCLUSIONS There is a remarkable heterogeneity among these studies and the majority have methodological limitations that leave considerable room for improvement. Further research is required to identify all relevant criteria for assessing the efficacy of mHealth interventions in the management of overweight and obesity. TRIAL REGISTRATION PROSPERO CRD42017056761; https://tinyurl.com/y2zhxtjx.
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Affiliation(s)
- Elisa Puigdomenech Puig
- Agència de Qualitat i Avaluació Sanitàries de Catalunya, Barcelona, Spain
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas, Barcelona, Spain
- eHealth Lab, Barcelona, Spain
| | - Noemí Robles
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas, Barcelona, Spain
- eHealth Lab, Barcelona, Spain
- eHealth Center, Universitat Oberta de Catalunya, Barcelona, Spain
| | - Francesc Saigí-Rubió
- Faculty of Health Sciences, Universitat Oberta de Catalunya, Barcelona, Spain
- Interdisciplinary Research Group on ICTs, Barcelona, Spain
| | - Alberto Zamora
- Corporació de Salut del Maresme i la Selva, Hospital de Blanes, Blanes, Spain
- Grup de Medicina Traslacional i Ciències de la Decisió, Departament de Ciències Mèdiques, Facultat de Medicina, Universitat de Girona, Girona, Spain
| | - Montse Moharra
- Agència de Qualitat i Avaluació Sanitàries de Catalunya, Barcelona, Spain
- CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Guillermo Paluzie
- Corporació de Salut del Maresme i la Selva, Hospital de Blanes, Blanes, Spain
| | - Mariona Balfegó
- Clínica Sagrada Família, CPEN SL Servei d'Endocrinologia i Nutrició, Barcelona, Spain
| | | | - Pilar Garcia-Lorda
- Faculty of Health Sciences, Universitat Oberta de Catalunya, Barcelona, Spain
| | - Carme Carrion
- Red de Investigación en Servicios de Salud en Enfermedades Crónicas, Barcelona, Spain
- eHealth Lab, Barcelona, Spain
- eHealth Center, Universitat Oberta de Catalunya, Barcelona, Spain
- Faculty of Health Sciences, Universitat Oberta de Catalunya, Barcelona, Spain
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Chen Y, Wu F, Wu Y, Li J, Yue P, Deng Y, Lamb KV, Fong S, Liu Y, Zhang Y. Development of interventions for an intelligent and individualized mobile health care system to promote healthy diet and physical activity: using an intervention mapping framework. BMC Public Health 2019; 19:1311. [PMID: 31623589 PMCID: PMC6798431 DOI: 10.1186/s12889-019-7639-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 09/16/2019] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND The mortality of coronary heart disease can be largely reduced by modifying unhealthy lifestyles. However, the long-term effectiveness of interventions for modifying unhealthy diet and physical inactivity of patients with coronary heart disease remain unsatisfactory worldwide. This study aims to systematically design a set of theory-based and evidence-based, individualized, and intelligent interventions for promoting the adoption and maintenance of a healthy diet and physical activity level in patients with coronary heart disease. METHODS The interventions will be delivered by a mobile health care system called Individualized, Intelligent and Integrated Cardiovascular Application for Risk Elimination. Three steps of the intervention mapping framework were used to systematically develop the interventions. Step 1: needs assessment, which was carried out by a literature review, in-depth interviews and focus group discussions. Step 2: development of objective matrix for diet and physical activity changes, based on the intersection of objectives and determinants from the Contemplation-Action-Maintenance behavior change model. Step 3: formulation of evidence-based methods and strategies, and practical applications, through a systematic review of existing literature, research team discussions, and consultation with multidisciplinary expert panels. RESULTS Three needs relevant to content of the intervention, one need relevant to presentation modes of the intervention, and four needs relevant to functional features of the application were identified. The objective matrix includes three performance objectives, and 24 proximal performance objectives. The evidence-based and theory-based interventions include 31 strategies, 61 evidence-based methods, and 393 practical applications. CONCLUSIONS This article describes the development of theory-based and evidence-based interventions of the mobile health care system for promoting the adoption and maintenance of a healthy diet and physical activity level in a structured format. The results will provide a theoretical and methodological basis to explore the application of intervention mapping in developing effective behavioral mobile health interventions for patients with coronary heart disease. TRIAL REGISTRATION Chinese Clinical Trial Registry: ChiCTR-INR-16010242. Registered 24 December 2016. http://www.chictr.org.cn/index.aspx.
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Affiliation(s)
- Yuling Chen
- School of Nursing, Capital Medical University, 10 You-an-men Wai Xi-tou-tiao, Feng-tai District, Beijing, 100069 China
| | - Fangqin Wu
- School of Nursing, Capital Medical University, 10 You-an-men Wai Xi-tou-tiao, Feng-tai District, Beijing, 100069 China
| | - Ying Wu
- School of Nursing, Capital Medical University, 10 You-an-men Wai Xi-tou-tiao, Feng-tai District, Beijing, 100069 China
| | - Jia Li
- School of Nursing, Capital Medical University, 10 You-an-men Wai Xi-tou-tiao, Feng-tai District, Beijing, 100069 China
| | - Peng Yue
- School of Nursing, Capital Medical University, 10 You-an-men Wai Xi-tou-tiao, Feng-tai District, Beijing, 100069 China
| | - Ying Deng
- School of Nursing, Capital Medical University, 10 You-an-men Wai Xi-tou-tiao, Feng-tai District, Beijing, 100069 China
| | - Karen V. Lamb
- Department of Adult Health Gerontological Nursing Rush University IL, Chicago, CA 60613 USA
| | - Simon Fong
- Department of Computer and Information Science, University of Macau, Macau, China
| | - Yisi Liu
- School of Nursing, Capital Medical University, 10 You-an-men Wai Xi-tou-tiao, Feng-tai District, Beijing, 100069 China
| | - Yan Zhang
- School of Nursing, Capital Medical University, 10 You-an-men Wai Xi-tou-tiao, Feng-tai District, Beijing, 100069 China
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McConnell MV, Turakhia MP, Harrington RA, King AC, Ashley EA. Mobile Health Advances in Physical Activity, Fitness, and Atrial Fibrillation: Moving Hearts. J Am Coll Cardiol 2019; 71:2691-2701. [PMID: 29880130 DOI: 10.1016/j.jacc.2018.04.030] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Accepted: 04/24/2018] [Indexed: 12/21/2022]
Abstract
The growing recognition that "health" takes place outside of the hospital and clinic, plus recent advances in mobile and wearable devices, have propelled the field of mobile health (mHealth). Cardiovascular disease and prevention are major opportunities for mHealth, as mobile devices can monitor key physiological signals (e.g., physical activity, heart rate and rhythm) for promoting healthy behaviors, detecting disease, and aid in ongoing care. In this review, the authors provide an update on cardiovascular mHealth by highlighting recent progress and challenges with mobile and wearable devices for assessing and promoting physical activity and fitness, and for monitoring heart rate and rhythm for the detection and management of atrial fibrillation.
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Affiliation(s)
- Michael V McConnell
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California; Verily Life Sciences, San Francisco, California.
| | - Mintu P Turakhia
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Robert A Harrington
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Abby C King
- Department of Health Research and Policy and Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Euan A Ashley
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California
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Buckingham SA, Williams AJ, Morrissey K, Price L, Harrison J. Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace: A systematic review. Digit Health 2019; 5:2055207619839883. [PMID: 30944728 PMCID: PMC6437332 DOI: 10.1177/2055207619839883] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 02/27/2019] [Indexed: 02/06/2023] Open
Abstract
Objective This systematic review aimed to assess the effectiveness, feasibility and acceptability of mobile health (mHealth) technology (including wearable activity monitors and smartphone applications) for promoting physical activity (PA) and reducing sedentary behaviour (SB) in workplace settings. Methods Systematic searches were conducted in seven electronic databases (MEDLINE, SPORTDiscus, Scopus, EMBASE, PsycINFO, Web of Science and the Cochrane library). Studies were included if mHealth was a major intervention component, PA/SB was a primary outcome, and participants were recruited and/or the intervention was delivered in the workplace. Study quality was assessed using the Effective Public Health Practice Project (EPHPP) tool. Interventions were coded for behaviour change techniques (BCTs) using the Coventry, Aberdeen and London - Refined (CALO-RE) taxonomy. Results Twenty-five experimental and quasi-experimental studies were included. Studies were highly heterogeneous and only one was rated as 'strong' methodological quality. Common BCTs included self-monitoring, feedback, goal-setting and social comparison. A total of 14/25 (56%) studies reported a significant increase in PA, and 4/10 (40%) reported a significant reduction in sedentary time; 11/16 (69%) studies reported a significant impact on secondary outcomes including reductions in weight, systolic blood pressure and total cholesterol. While overall acceptability was high, a large decline in technology use and engagement was observed over time. Conclusions While methodological quality was generally weak, there is reasonable evidence for mHealth in a workplace context as a feasible, acceptable and effective tool to promote PA. The impact in the longer term and on SB is less clear. Higher quality, mixed methods studies are needed to explore the reasons for decline in engagement with time and the longer-term potential of mHealth in workplace interventions.Protocol registration: The review protocol was registered with PROSPERO: CRD42017058856.
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Affiliation(s)
- Sarah Ann Buckingham
- European Centre for Environment and Human Health, Knowledge Spa, Royal Cornwall Hospitals NHS Trust, University of Exeter Medical School, Truro, UK
| | - Andrew James Williams
- European Centre for Environment and Human Health, Knowledge Spa, Royal Cornwall Hospitals NHS Trust, University of Exeter Medical School, Truro, UK
| | - Karyn Morrissey
- European Centre for Environment and Human Health, Knowledge Spa, Royal Cornwall Hospitals NHS Trust, University of Exeter Medical School, Truro, UK
| | - Lisa Price
- Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - John Harrison
- Occupational Health Support Unit, Devon and Cornwall Police, Middlemoor, Exeter, UK
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Huang Y, Benford S, Blake H. Digital Interventions to Reduce Sedentary Behaviors of Office Workers: Scoping Review. J Med Internet Res 2019; 21:e11079. [PMID: 30730294 PMCID: PMC6383116 DOI: 10.2196/11079] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 08/30/2018] [Accepted: 09/12/2018] [Indexed: 12/22/2022] Open
Abstract
Background There is a clear public health need to reduce office workers’ sedentary behaviors (SBs), especially in the workplace. Digital technologies are increasingly being deployed in the workplace to measure and modify office workers’ SBs. However, knowledge of the range and nature of research on this topic is limited; it also remains unclear to what extent digital interventions have exploited the technological possibilities. Objective This study aimed to investigate the technological landscape of digital interventions for SB reduction in office workers and to map the research activity in this field. Methods Terms related to SB, office worker, and digital technology were applied in various combinations to search Cochrane Library, Joanna Briggs Institute Database of Systematic Reviews, MEDLINE, PsycARTICLES, PsycINFO, Scopus, Association for Computing Machinery Digital Library, Engineering index Compendex, and Google Scholar for the years 2000 to 2017. Data regarding the study and intervention details were extracted. Interventions and studies were categorized into development, feasibility and/piloting, evaluation, or implementation phase based on the UK Medical Research Council (MRC) framework for developing and evaluating complex interventions. A novel framework was developed to classify technological features and annotate technological configurations. A mix of quantitative and qualitative approaches was used to summarize data. Results We identified 68 articles describing 45 digital interventions designed to intervene with office workers’ SB. A total of 6 common technological features had been applied to interventions with various combinations. Configurations such as “information delivery and mediated organizational and social support” and “digital log and automated tailored feedback” were well established in evaluation and implementation studies; in contrast, the integration of passive data collection, connected devices, and ATF or scheduled prompts was mostly present in development and piloting research. Conclusions This review is the first to map and describe the use of digital technologies in research on SB reduction in office workers. Interdisciplinary collaborations can help to maximize the potential of technologies. As novel modes of delivery that capitalize on embedded computing and electronics, wireless technologies have been developed and piloted in engineering, computing, and design fields, efforts can be directed to move them to the next phase of evaluation with more rigorous study designs. Quality of research may be improved by fostering conversations between different research communities and encouraging researchers to plan, conduct, and report their research under the MRC framework. This review will be particularly informative to those deciding on areas where further research or development is needed and to those looking to locate the relevant expertise, resources, and design inputs when designing their own systems or interventions.
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Affiliation(s)
- Yitong Huang
- Horizon Centre for Doctoral Training, University of Nottingham, Nottingham, United Kingdom.,Mixed Reality Laboratory, School of Computer Science, University of Nottingham, Nottingham, United Kingdom
| | - Steve Benford
- Mixed Reality Laboratory, School of Computer Science, University of Nottingham, Nottingham, United Kingdom
| | - Holly Blake
- School of Health Sciences, University of Nottingham, Nottingham, United Kingdom.,National Institute for Health Research Nottingham Biomedical Research Centre, Nottingham, United Kingdom
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Tullar JM, Walker TJ, Page TF, Taylor WC, Roman R, Amick BC. Evaluation of a Worksite-Based Small Group Team Challenge to Increase Physical Activity. Am J Health Promot 2019; 33:259-266. [PMID: 29996662 PMCID: PMC6383520 DOI: 10.1177/0890117118784229] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PURPOSE To investigate whether participants in a small group team challenge had greater completion rates in an institution-wide step-challenge than other participants. DESIGN A quasi-experimental, posttest-only design with a comparison group was used to evaluate group differences in completion rates. SETTING A large university system provided the opportunity to participate in a physical activity challenge. PARTICIPANTS The study was limited to employees who participated in the physical activity challenge. INTERVENTION Two institutions offered participants the chance to compete as smaller groups of teams within their institution. These team-challenge participants (N = 414) were compared to participants from the same institutions that did not sign up for a team and tracked their steps individually (N = 1454). MEASURES Participants who reported 50 000 steps per week for 5 of the 6 weeks were classified as challenge completers. We also evaluated total step count and controlled for several potential covariates including age, gender, and body mass index. ANALYSIS Logistic regression was used to model the dichotomous outcome of challenge completion. RESULTS Team-challenge participants were more likely to complete the physical activity challenge than other participants. Team-challenge participants had 1922 more steps per day than individual participants. However, at an institution level, overall completion rates were not higher at institutions that offered a team challenge.
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Affiliation(s)
- Jessica M. Tullar
- The University of Texas Health Science Center at Houston
School of Public Health, Houston TX, USA
| | - Timothy J. Walker
- The University of Texas Health Science Center at Houston
School of Public Health, Houston TX, USA
| | | | - Wendell C. Taylor
- The University of Texas Health Science Center at Houston
School of Public Health, Houston TX, USA
| | | | - Benjamin C. Amick
- Florida International University, Miami, FL, USA
- Institute for Work & Health, Toronto, Ontario,
Canada
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Shrestha N, Kukkonen‐Harjula KT, Verbeek JH, Ijaz S, Hermans V, Pedisic Z. Workplace interventions for reducing sitting at work. Cochrane Database Syst Rev 2018; 12:CD010912. [PMID: 30556590 PMCID: PMC6517221 DOI: 10.1002/14651858.cd010912.pub5] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND A large number of people are employed in sedentary occupations. Physical inactivity and excessive sitting at workplaces have been linked to increased risk of cardiovascular disease, obesity, and all-cause mortality. OBJECTIVES To evaluate the effectiveness of workplace interventions to reduce sitting at work compared to no intervention or alternative interventions. SEARCH METHODS We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, CINAHL, OSH UPDATE, PsycINFO, ClinicalTrials.gov, and the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) search portal up to 9 August 2017. We also screened reference lists of articles and contacted authors to find more studies. SELECTION CRITERIA We included randomised controlled trials (RCTs), cross-over RCTs, cluster-randomised controlled trials (cluster-RCTs), and quasi-RCTs of interventions to reduce sitting at work. For changes of workplace arrangements, we also included controlled before-and-after studies. The primary outcome was time spent sitting at work per day, either self-reported or measured using devices such as an accelerometer-inclinometer and duration and number of sitting bouts lasting 30 minutes or more. We considered energy expenditure, total time spent sitting (including sitting at and outside work), time spent standing at work, work productivity and adverse events as secondary outcomes. DATA COLLECTION AND ANALYSIS Two review authors independently screened titles, abstracts and full-text articles for study eligibility. Two review authors independently extracted data and assessed risk of bias. We contacted authors for additional data where required. MAIN RESULTS We found 34 studies - including two cross-over RCTs, 17 RCTs, seven cluster-RCTs, and eight controlled before-and-after studies - with a total of 3,397 participants, all from high-income countries. The studies evaluated physical workplace changes (16 studies), workplace policy changes (four studies), information and counselling (11 studies), and multi-component interventions (four studies). One study included both physical workplace changes and information and counselling components. We did not find any studies that specifically investigated the effects of standing meetings or walking meetings on sitting time.Physical workplace changesInterventions using sit-stand desks, either alone or in combination with information and counselling, reduced sitting time at work on average by 100 minutes per workday at short-term follow-up (up to three months) compared to sit-desks (95% confidence interval (CI) -116 to -84, 10 studies, low-quality evidence). The pooled effect of two studies showed sit-stand desks reduced sitting time at medium-term follow-up (3 to 12 months) by an average of 57 minutes per day (95% CI -99 to -15) compared to sit-desks. Total sitting time (including sitting at and outside work) also decreased with sit-stand desks compared to sit-desks (mean difference (MD) -82 minutes/day, 95% CI -124 to -39, two studies) as did the duration of sitting bouts lasting 30 minutes or more (MD -53 minutes/day, 95% CI -79 to -26, two studies, very low-quality evidence).We found no significant difference between the effects of standing desks and sit-stand desks on reducing sitting at work. Active workstations, such as treadmill desks or cycling desks, had unclear or inconsistent effects on sitting time.Workplace policy changesWe found no significant effects for implementing walking strategies on workplace sitting time at short-term (MD -15 minutes per day, 95% CI -50 to 19, low-quality evidence, one study) and medium-term (MD -17 minutes/day, 95% CI -61 to 28, one study) follow-up. Short breaks (one to two minutes every half hour) reduced time spent sitting at work on average by 40 minutes per day (95% CI -66 to -15, one study, low-quality evidence) compared to long breaks (two 15-minute breaks per workday) at short-term follow-up.Information and counsellingProviding information, feedback, counselling, or all of these resulted in no significant change in time spent sitting at work at short-term follow-up (MD -19 minutes per day, 95% CI -57 to 19, two studies, low-quality evidence). However, the reduction was significant at medium-term follow-up (MD -28 minutes per day, 95% CI -51 to -5, two studies, low-quality evidence).Computer prompts combined with information resulted in no significant change in sitting time at work at short-term follow-up (MD -14 minutes per day, 95% CI -39 to 10, three studies, low-quality evidence), but at medium-term follow-up they produced a significant reduction (MD -55 minutes per day, 95% CI -96 to -14, one study). Furthermore, computer prompting resulted in a significant decrease in the average number (MD -1.1, 95% CI -1.9 to -0.3, one study) and duration (MD -74 minutes per day, 95% CI -124 to -24, one study) of sitting bouts lasting 30 minutes or more.Computer prompts with instruction to stand reduced sitting at work on average by 14 minutes per day (95% CI 10 to 19, one study) more than computer prompts with instruction to walk at least 100 steps at short-term follow-up.We found no significant reduction in workplace sitting time at medium-term follow-up following mindfulness training (MD -23 minutes per day, 95% CI -63 to 17, one study, low-quality evidence). Similarly a single study reported no change in sitting time at work following provision of highly personalised or contextualised information and less personalised or contextualised information. One study found no significant effects of activity trackers on sitting time at work.Multi-component interventions Combining multiple interventions had significant but heterogeneous effects on sitting time at work (573 participants, three studies, very low-quality evidence) and on time spent in prolonged sitting bouts (two studies, very low-quality evidence) at short-term follow-up. AUTHORS' CONCLUSIONS At present there is low-quality evidence that the use of sit-stand desks reduce workplace sitting at short-term and medium-term follow-ups. However, there is no evidence on their effects on sitting over longer follow-up periods. Effects of other types of interventions, including workplace policy changes, provision of information and counselling, and multi-component interventions, are mostly inconsistent. The quality of evidence is low to very low for most interventions, mainly because of limitations in study protocols and small sample sizes. There is a need for larger cluster-RCTs with longer-term follow-ups to determine the effectiveness of different types of interventions to reduce sitting time at work.
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Affiliation(s)
- Nipun Shrestha
- Victoria UniversityInstitute for Health and Sport (IHES)MelbourneVictoriaAustralia
| | - Katriina T Kukkonen‐Harjula
- South Karelia Social and Health Care District EksoteRehabilitationValto Käkelän katu 3 BLappeenrantaFinland53130
| | - Jos H Verbeek
- Finnish Institute of Occupational HealthCochrane Work Review GroupTYÖTERVEYSLAITOSFinlandFI‐70032
| | - Sharea Ijaz
- Population Health Sciences, Bristol Medical School, University of BristolNIHR CLAHRC West at University Hospitals Bristol NHS Foundation TrustLewins Mead, Whitefriars BuildingBristolUKBS1 2NT
| | - Veerle Hermans
- Vrije Universiteit BrusselFaculty of Psychology & Educational Sciences, Faculty of Medicine & PharmacyPleinlaan 2BrusselsBelgium1050
| | - Zeljko Pedisic
- Victoria UniversityInstitute for Health and Sport (IHES)MelbourneVictoriaAustralia
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MacDonald B, Janssen X, Kirk A, Patience M, Gibson AM. An Integrative, Systematic Review Exploring the Research, Effectiveness, Adoption, Implementation, and Maintenance of Interventions to Reduce Sedentary Behaviour in Office Workers. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:E2876. [PMID: 30558258 PMCID: PMC6313589 DOI: 10.3390/ijerph15122876] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Revised: 11/25/2018] [Accepted: 11/27/2018] [Indexed: 01/24/2023]
Abstract
Sedentary behaviour is associated with poor health outcomes, and office-based workers are at significant health risk, as they accumulate large proportions of their overall sitting time at work. The aim of this integrated systematic review was to collate and synthesize published research on sedentary behaviour interventions in the workplace that have reported on at least one an aspect of the reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) framework. Studies were included if they involved adult office workers, were conducted in an office setting, and changes in sedentary behaviour had been measured as a primary outcome. Five electronic databases were searched yielding 7234 articles, with 75 articles (61 individual interventions) meeting the inclusion criteria. Reach indicators were the most frequently reported RE-AIM dimensions, which were reported on average 59% of the time. Efficacy/effectiveness was the second most reported dimension at 49% reporting across all of the indicators. Implementation indicators were reported an average of 44% of the time, with indicators of adoption and maintenance reported as the lowest of all indicators at 13% and 8%, respectively. Recommendations are provided to improve reporting across all RE-AIM dimensions, which is an important first step to enable the effective translation of interventions into real world settings.
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Affiliation(s)
- Bradley MacDonald
- School of Psychological Sciences and Health, University of Strathclyde, 16 Richmond Street, Glasgow G1 1XQ, UK.
| | - Xanne Janssen
- School of Psychological Sciences and Health, University of Strathclyde, 16 Richmond Street, Glasgow G1 1XQ, UK.
| | - Alison Kirk
- School of Psychological Sciences and Health, University of Strathclyde, 16 Richmond Street, Glasgow G1 1XQ, UK.
| | - Mhairi Patience
- School of Psychological Sciences and Health, University of Strathclyde, 16 Richmond Street, Glasgow G1 1XQ, UK.
| | - Ann-Marie Gibson
- School of Psychological Sciences and Health, University of Strathclyde, 16 Richmond Street, Glasgow G1 1XQ, UK.
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Bassi A, John O, Praveen D, Maulik PK, Panda R, Jha V. Current Status and Future Directions of mHealth Interventions for Health System Strengthening in India: Systematic Review. JMIR Mhealth Uhealth 2018; 6:e11440. [PMID: 30368435 PMCID: PMC6229512 DOI: 10.2196/11440] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Revised: 08/12/2018] [Accepted: 08/13/2018] [Indexed: 12/15/2022] Open
Abstract
Background With the exponential increase in mobile phone users in India, a large number of public health initiatives are leveraging information technology and mobile devices for health care delivery. Given the considerable financial and human resources being invested in these initiatives, it is important to ascertain their role in strengthening health care systems. Objective We undertook this review to identify the published mobile health (mHealth) or telemedicine initiatives in India in terms of their current role in health systems strengthening. The review classifies these initiatives based on the disease areas, geographical distribution, and target users and assesses the quality of the available literature. Methods A search of the literature was done to identify mHealth or telemedicine articles published between January 1997 and June 2017 from India. The electronic bibliographic databases and registries searched included MEDLINE, EMBASE, Joanna Briggs Institute Database, and Clinical Trial Registry of India. The World Health Organization health system building block framework was used to categorize the published initiatives as per their role in the health system. Quality assessment of the selected articles was done using the Cochrane risk of bias assessment and National Institutes of Health, US tools. Results The combined search strategies yielded 2150 citations out of which 318 articles were included (primary research articles=125; reviews and system architectural, case studies, and opinion articles=193). A sharp increase was seen after 2012, driven primarily by noncommunicable disease–focused articles. Majority of the primary studies had their sites in the south Indian states, with no published articles from Jammu and Kashmir and north-eastern parts of India. Service delivery was the primary focus of 57.6% (72/125) of the selected articles. A majority of these articles had their focus on 1 (36.0%, 45/125) or 2 (45.6%, 57/125) domains of health system, most frequently service delivery and health workforce. Initiatives commonly used client education as a tool for improving the health system. More than 91.2% (114/125) of the studies, which lacked a sample size justification, had used convenience sampling. Methodological rigor of the selected trials (n=11) was assessed to be poor as majority of the studies had a high risk for bias in at least 2 categories. Conclusions In conclusion, mHealth initiatives are being increasingly tested to improve health care delivery in India. Our review highlights the poor quality of the current evidence base and an urgent need for focused research aimed at generating high-quality evidence on the efficacy, user acceptability, and cost-effectiveness of mHealth interventions aimed toward health systems strengthening. A pragmatic approach would be to include an implementation research component into the existing and proposed digital health initiatives to support the generation of evidence for health systems strengthening on strategically important outcomes.
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Affiliation(s)
- Abhinav Bassi
- George Institute for Global Health, India, New Delhi, India
| | - Oommen John
- George Institute for Global Health, India, New Delhi, India.,University of New South Wales, Sydney, Australia
| | - Devarsetty Praveen
- University of New South Wales, Sydney, Australia.,George Institute for Global Health, India, Hyderabad, India
| | - Pallab K Maulik
- George Institute for Global Health, India, New Delhi, India.,University of New South Wales, Sydney, Australia.,George Institute for Global Health, Oxford University, Oxford, United Kingdom
| | - Rajmohan Panda
- George Institute for Global Health, India, New Delhi, India
| | - Vivekanand Jha
- George Institute for Global Health, India, New Delhi, India.,University of Oxford, Oxford, United Kingdom
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Vancampfort D, Stubbs B, Lara E, Vandenbulcke M, Swinnen N, Smith L, Firth J, Herring MP, Hallgren M, Koyanagi A. Mild cognitive impairment and sedentary behavior: A multinational study. Exp Gerontol 2018; 108:174-180. [DOI: 10.1016/j.exger.2018.04.017] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 04/04/2018] [Accepted: 04/19/2018] [Indexed: 12/13/2022]
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Shrestha N, Kukkonen‐Harjula KT, Verbeek JH, Ijaz S, Hermans V, Pedisic Z. Workplace interventions for reducing sitting at work. Cochrane Database Syst Rev 2018; 6:CD010912. [PMID: 29926475 PMCID: PMC6513236 DOI: 10.1002/14651858.cd010912.pub4] [Citation(s) in RCA: 77] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND A large number of people are employed in sedentary occupations. Physical inactivity and excessive sitting at workplaces have been linked to increased risk of cardiovascular disease, obesity, and all-cause mortality. OBJECTIVES To evaluate the effectiveness of workplace interventions to reduce sitting at work compared to no intervention or alternative interventions. SEARCH METHODS We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, CINAHL, OSH UPDATE, PsycINFO, ClinicalTrials.gov, and the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) search portal up to 9 August 2017. We also screened reference lists of articles and contacted authors to find more studies. SELECTION CRITERIA We included randomised controlled trials (RCTs), cross-over RCTs, cluster-randomised controlled trials (cluster-RCTs), and quasi-RCTs of interventions to reduce sitting at work. For changes of workplace arrangements, we also included controlled before-and-after studies. The primary outcome was time spent sitting at work per day, either self-reported or measured using devices such as an accelerometer-inclinometer and duration and number of sitting bouts lasting 30 minutes or more. We considered energy expenditure, total time spent sitting (including sitting at and outside work), time spent standing at work, work productivity and adverse events as secondary outcomes. DATA COLLECTION AND ANALYSIS Two review authors independently screened titles, abstracts and full-text articles for study eligibility. Two review authors independently extracted data and assessed risk of bias. We contacted authors for additional data where required. MAIN RESULTS We found 34 studies - including two cross-over RCTs, 17 RCTs, seven cluster-RCTs, and eight controlled before-and-after studies - with a total of 3,397 participants, all from high-income countries. The studies evaluated physical workplace changes (16 studies), workplace policy changes (four studies), information and counselling (11 studies), and multi-component interventions (four studies). One study included both physical workplace changes and information and counselling components. We did not find any studies that specifically investigated the effects of standing meetings or walking meetings on sitting time.Physical workplace changesInterventions using sit-stand desks, either alone or in combination with information and counselling, reduced sitting time at work on average by 100 minutes per workday at short-term follow-up (up to three months) compared to sit-desks (95% confidence interval (CI) -116 to -84, 10 studies, low-quality evidence). The pooled effect of two studies showed sit-stand desks reduced sitting time at medium-term follow-up (3 to 12 months) by an average of 57 minutes per day (95% CI -99 to -15) compared to sit-desks. Total sitting time (including sitting at and outside work) also decreased with sit-stand desks compared to sit-desks (mean difference (MD) -82 minutes/day, 95% CI -124 to -39, two studies) as did the duration of sitting bouts lasting 30 minutes or more (MD -53 minutes/day, 95% CI -79 to -26, two studies, very low-quality evidence).We found no significant difference between the effects of standing desks and sit-stand desks on reducing sitting at work. Active workstations, such as treadmill desks or cycling desks, had unclear or inconsistent effects on sitting time.Workplace policy changesWe found no significant effects for implementing walking strategies on workplace sitting time at short-term (MD -15 minutes per day, 95% CI -50 to 19, low-quality evidence, one study) and medium-term (MD -17 minutes/day, 95% CI -61 to 28, one study) follow-up. Short breaks (one to two minutes every half hour) reduced time spent sitting at work on average by 40 minutes per day (95% CI -66 to -15, one study, low-quality evidence) compared to long breaks (two 15-minute breaks per workday) at short-term follow-up.Information and counsellingProviding information, feedback, counselling, or all of these resulted in no significant change in time spent sitting at work at short-term follow-up (MD -19 minutes per day, 95% CI -57 to 19, two studies, low-quality evidence). However, the reduction was significant at medium-term follow-up (MD -28 minutes per day, 95% CI -51 to -5, two studies, low-quality evidence).Computer prompts combined with information resulted in no significant change in sitting time at work at short-term follow-up (MD -10 minutes per day, 95% CI -45 to 24, two studies, low-quality evidence), but at medium-term follow-up they produced a significant reduction (MD -55 minutes per day, 95% CI -96 to -14, one study). Furthermore, computer prompting resulted in a significant decrease in the average number (MD -1.1, 95% CI -1.9 to -0.3, one study) and duration (MD -74 minutes per day, 95% CI -124 to -24, one study) of sitting bouts lasting 30 minutes or more.Computer prompts with instruction to stand reduced sitting at work on average by 14 minutes per day (95% CI 10 to 19, one study) more than computer prompts with instruction to walk at least 100 steps at short-term follow-up.We found no significant reduction in workplace sitting time at medium-term follow-up following mindfulness training (MD -23 minutes per day, 95% CI -63 to 17, one study, low-quality evidence). Similarly a single study reported no change in sitting time at work following provision of highly personalised or contextualised information and less personalised or contextualised information. One study found no significant effects of activity trackers on sitting time at work.Multi-component interventions Combining multiple interventions had significant but heterogeneous effects on sitting time at work (573 participants, three studies, very low-quality evidence) and on time spent in prolonged sitting bouts (two studies, very low-quality evidence) at short-term follow-up. AUTHORS' CONCLUSIONS At present there is low-quality evidence that the use of sit-stand desks reduce workplace sitting at short-term and medium-term follow-ups. However, there is no evidence on their effects on sitting over longer follow-up periods. Effects of other types of interventions, including workplace policy changes, provision of information and counselling, and multi-component interventions, are mostly inconsistent. The quality of evidence is low to very low for most interventions, mainly because of limitations in study protocols and small sample sizes. There is a need for larger cluster-RCTs with longer-term follow-ups to determine the effectiveness of different types of interventions to reduce sitting time at work.
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Affiliation(s)
- Nipun Shrestha
- Victoria UniversityInstitute for Health and Sport (IHES)MelbourneAustralia
| | - Katriina T Kukkonen‐Harjula
- South Karelia Social and Health Care District EksoteRehabilitationValto Käkelän katu 3 BLappeenrantaFinland53130
| | - Jos H Verbeek
- Finnish Institute of Occupational HealthCochrane Work Review GroupTYÖTERVEYSLAITOSFinlandFI‐70032
| | - Sharea Ijaz
- Population Health Sciences, Bristol Medical School, University of BristolNIHR CLAHRC West at University Hospitals Bristol NHS Foundation TrustLewins Mead, Whitefriars BuildingBristolUKBS1 2NT
| | - Veerle Hermans
- Vrije Universiteit BrusselFaculty of Psychology & Educational Sciences, Faculty of Medicine & PharmacyPleinlaan 2BrusselsBelgium1050
| | - Zeljko Pedisic
- Victoria UniversityInstitute for Health and Sport (IHES)MelbourneAustralia
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Sarwar CMS, Vaduganathan M, Anker SD, Coiro S, Papadimitriou L, Saltz J, Schoenfeld ER, Clark RL, Dinh W, Kramer F, Gheorghiade M, Fonarow GC, Butler J. Mobile health applications in cardiovascular research. Int J Cardiol 2018; 269:265-271. [PMID: 29921516 DOI: 10.1016/j.ijcard.2018.06.039] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2017] [Revised: 03/05/2018] [Accepted: 06/11/2018] [Indexed: 10/14/2022]
Abstract
Cardiovascular disease is the leading cause of mortality and morbidity globally. With widespread and growing use of smart phones and mobile devices, the use of mobile health (mHealth) in transmission of physiologic parameters and patient-referred symptoms to healthcare providers and researchers, as well as reminders and care plan applications from providers to patients, has potential to revolutionize both clinical care and the conduct of clinical trials with improved designs, data capture, and potentially lower costs. In randomized early phase proof-of-concept studies, focusing on lifestyle intervention, there is evidence that mHealth technology can improve outcomes. By contrast, results from small randomized controlled trials that tested mHealth interventions in heart failure patients were disappointing with inconsistent findings. These inconclusive results could be partially attributed to a lack of methodological rigor (insufficient sample size, quasi-experimental design, inadequate mHealth equipment). Therefore, there is an urgent need to develop systematic evidence-based guidelines and parameters for mHealth to be effectively utilized in cardiovascular clinical trials.
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Affiliation(s)
- Chaudhry M S Sarwar
- Cardiology Division, Stony Brook University, Stony Brook, New York, United States
| | - Muthiah Vaduganathan
- Brigham and Women's Hospital Heart and Vascular Center and Harvard Medical School, Boston, MA, United States
| | - Stefan D Anker
- Innovative Clinical Trials, Department of Cardiology and Pneumology, University Medical Center (UMG), Göttingen, Germany
| | - Stefano Coiro
- Division of Cardiology, University of Perugia, Ospedale S. Maria della Misericordia, Via S. Andrea delle fratte, Perugia, Italy
| | | | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, United States
| | - Elinor R Schoenfeld
- Department of Family, Population & Preventive Medicine, Stony Brook University, Stony Brook, New York, United States
| | - Richard L Clark
- Clark Life Science Consulting, Saint Louis, MO, United States
| | - Wilfried Dinh
- Bayer AG, Drug Discovery, Clinical Sciences- Experimental Medicine, Wuppertal, Germany; Department of Cardiology, HELIOS Clinic Wuppertal, University Hospital Witten/Herdecke, Germany
| | - Frank Kramer
- Bayer AG, Drug Discovery, Clinical Sciences- Experimental Medicine, Wuppertal, Germany
| | - Mihai Gheorghiade
- Center for Cardiovascular Drug Development and Innovation, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Gregg C Fonarow
- Cardiology Division, University of California, Los Angeles, Los Angeles, CA, United States
| | - Javed Butler
- Cardiology Division, Stony Brook University, Stony Brook, New York, United States.
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Crilly P, Jair S, Mahmood Z, Moin Khan A, Munir A, Osei-Bediako I, Samir M, Kayyali R. Public views of different sources of health advice: pharmacists, social media and mobile health applications. INTERNATIONAL JOURNAL OF PHARMACY PRACTICE 2018; 27:88-95. [PMID: 29732649 DOI: 10.1111/ijpp.12448] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Accepted: 03/01/2018] [Indexed: 01/12/2023]
Abstract
OBJECTIVES Investigating public perceptions of community pharmacists (CP) in public health and their use of social media (SM) and mobile health applications (MH apps) in that regard. METHODS Two surveys were created. One sought public perceptions of SM and the other of MH apps for health advice. Both included a section on perceptions of the role of CPs in public health. A convenience sampling strategy, based on proximity, was used.The study population was the public (n = 8 500 000) living in Greater London. The general public were recruited face-to-face in public spaces. A minimum sample (95% confidence interval/5% margin of error) of 385 was needed. Ethical approval was obtained from the university ethics committee. Responses were analysed in SPSS. KEY FINDINGS About 820/1800 (45.6%) completed one/both surveys. Respondents seek health advice primarily from GPs, followed by digital mediums and then CPs. Under 35s use digital mediums more frequently (P = 0.039). Those who had used SM (41.7%) or MH apps (61.8%) for health information did not confirm its accuracy with a healthcare professional (HCP). Of those that did (MH apps = 39.2%; SM = 58.3%), the HCP disagreed with the information on MH apps and SM on 19.6% and 36.7% of occasions, respectively. Nevertheless, 64.5% stated that if a SM page was maintained by an HCP they would use it. CONCLUSIONS The public are using digital mediums for health advice instead of speaking to an HCP. If CPs want to have an impact on public health they must start imbedding digital mediums into their services.
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Affiliation(s)
- Philip Crilly
- School of Life Sciences, Pharmacy and Chemistry, Kingston University, Kingston upon Thames, UK
| | - Sophia Jair
- School of Life Sciences, Pharmacy and Chemistry, Kingston University, Kingston upon Thames, UK
| | - Zahra Mahmood
- School of Life Sciences, Pharmacy and Chemistry, Kingston University, Kingston upon Thames, UK
| | - Armineh Moin Khan
- School of Life Sciences, Pharmacy and Chemistry, Kingston University, Kingston upon Thames, UK
| | - Aneesah Munir
- School of Life Sciences, Pharmacy and Chemistry, Kingston University, Kingston upon Thames, UK
| | - Irene Osei-Bediako
- School of Life Sciences, Pharmacy and Chemistry, Kingston University, Kingston upon Thames, UK
| | - Mustafa Samir
- School of Life Sciences, Pharmacy and Chemistry, Kingston University, Kingston upon Thames, UK
| | - Reem Kayyali
- School of Life Sciences, Pharmacy and Chemistry, Kingston University, Kingston upon Thames, UK
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Age-related changes in the range and velocity of postural sway. Arch Gerontol Geriatr 2018; 77:68-80. [PMID: 29684741 DOI: 10.1016/j.archger.2018.04.007] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Revised: 03/27/2018] [Accepted: 04/07/2018] [Indexed: 11/23/2022]
Abstract
The aim of this analysis was to compare values of centre of pressure (CoP) measures, which describe the ability to maintain static body balance (range of body sway and velocity in antero-posterior and medio-lateral directions), in two age groups on the basis of a systematic review and meta-analysis of available data published worldwide. After a systematic review of publications presenting values of selected CoP measures, a numerical database with means and standard deviations was created. Data were classified by eye condition (open or closed) and by age group (18-35 or ≥56). Allocation to each group was based on the mean value of age of each sub-group in the numerical database. The Mann-Whitney U test was used to test the statistical significance of differences between age groups and eyes-open and eyes-closed conditions. This article shows mathematical equations, which quantitatively express increases in body sway and its velocity with age. On the basis of those equations, higher values have been shown for both displacement and velocity measures for the EC vs. the EO conditions and for the elderly vs. the young. The differences between age groups are greater for the velocity measures.
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Abstract
The growth of self-tracking and personal surveillance has given rise to the Quantified Self movement. Members of this movement seek to enhance their personal well-being, productivity, and self-actualization through the tracking and gamification of personal data. The technologies that make this possible can also track and gamify aspects of our interpersonal, romantic relationships. Several authors have begun to challenge the ethical and normative implications of this development. In this article, we build upon this work to provide a detailed ethical analysis of the Quantified Relationship (QR). We identify eight core objections to the QR and subject them to critical scrutiny. We argue that although critics raise legitimate concerns, there are ways in which tracking technologies can be used to support and facilitate good relationships. We thus adopt a stance of cautious openness toward this technology and advocate the development of a research agenda for the positive use of QR technologies.
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Hallam KT, Bilsborough S, de Courten M. "Happy feet": evaluating the benefits of a 100-day 10,000 step challenge on mental health and wellbeing. BMC Psychiatry 2018; 18:19. [PMID: 29361921 PMCID: PMC5781328 DOI: 10.1186/s12888-018-1609-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Accepted: 01/16/2018] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND An increased awareness of the health benefits of walking has emerged with the development and refinement of accelerometer equipment. Evidence is beginning to highlight the value of promoting walking, particularly focusing on the Japanese mark of obtaining 10,000 steps per day. Workplace based step challenges have become popular to engage large cohorts in increasing their daily physical activity in a sustainable and enjoyable way. Findings are now highlighting the positive health effects of these medium-term programs (typically conducted over a few months) in terms of cardiovascular health, reducing diabetes risk and improving lifestyle factors such as weight and blood pressure. As yet, research has not focused on whether similar improvements in psychological health and wellbeing are present. METHODS This study investigated the impact of a 100-day, 10,000 step program on signs of depression, anxiety and stress as well as general wellbeing using standardised psychological scales. RESULTS The results indicated a small but consistent effect on all of these measures of mental health over the term of the program. This effect appeared irrespective of whether a person reached the 10,000 step mark. CONCLUSIONS These results highlight improved mental health and wellbeing in people undertaking this 100-day 10,000 step program and indicates the efficacy and potential of these programs for a modest, yet important improvement in mental health. Notably, targets reached may be less important than participation itself.
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Affiliation(s)
- K. T. Hallam
- 0000 0001 0396 9544grid.1019.9Centre for Chronic Disease, College of Health and Biomedicine, Victoria University, Melbourne, Australia ,Outlook Matters, Pty Ltd, Melbourne, Australia
| | - S. Bilsborough
- Stepathlon Private Limited, No. 2B 25E, Lorette Ville, Ground Floor, Village Bandra, Santacruz West, Main Avenue, Mumbai, India
| | - M. de Courten
- 0000 0001 0396 9544grid.1019.9Centre for Chronic Disease, College of Health and Biomedicine, Victoria University, Melbourne, Australia
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Vancampfort D, Stubbs B, Koyanagi A. Physical chronic conditions, multimorbidity and sedentary behavior amongst middle-aged and older adults in six low- and middle-income countries. Int J Behav Nutr Phys Act 2017; 14:147. [PMID: 29078781 PMCID: PMC5658996 DOI: 10.1186/s12966-017-0602-z] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Accepted: 10/19/2017] [Indexed: 02/07/2023] Open
Abstract
Background Sedentary behavior (SB) is, irrespective of a person’s physical activity levels, associated with a wide range of deleterious outcomes such as diabetes, stroke and associated premature mortality. There are no nationally representative, multi-national, population-based studies investigating the relationship between SB, chronic conditions, and physical multimorbidity (i.e., two or more chronic physical conditions). Thus, this cross-sectional study aimed to assess the association between chronic conditions, physical multimorbidity and SB among community-dwelling adults in six low- and middle-income countries (LMICs). We also explored the influential factors of these relationships. Method The Study on Global Ageing and Adult Health (SAGE) survey included 34,129 adults aged ≥50 years. SB was self-reported and expressed as a categorical variable [<8 or ≥8 h per day (high SB)]. Eleven chronic physical conditions (angina, arthritis, asthma, chronic back pain, chronic lung disease, diabetes, edentulism, hearing problems, hypertension, stroke, visual impairment) were assessed. Multivariable logistic regression and mediation analyses were conducted. Results The prevalence of physical multimorbidity and high SB (≥8 h/day) were 45.5% (43.7%–47.4%) and 10.8% (9.7%–12.1%), respectively. The prevalence of high SB increased in a linear fashion from 7.1% in people with no chronic condition to 24.1% in those with ≥4 chronic conditions. In the multivariable analysis, visual impairment (OR = 2.62), stroke (OR = 2.02), chronic back pain (OR = 1.70) hearing problems (OR = 1.58), chronic lung disease (OR = 1.48), asthma (OR = 1.39), arthritis (OR = 1.22) and multimorbidity (OR = 1.41) were significantly associated with high SB. Disability explained more than 50% of the association for all chronic conditions with particularly high percentages (>80%) for arthritis, asthma, and multimorbdity. Mobility problems explained 88.1% and 85.1% of the association of SB with arthritis and physical multimorbidiy, respectively. Pain was highly influential in the SB-arthritis relationship (85.6%). Sleep/energy problems explained between 9.3% (stroke) to 49.1% (arthritis) of the association, and cognitive problems from 21.5% (stroke) to 33.4% (hearing problems). Findings for anxiety and depression were mixed. Conclusion In LMICs, those with chronic conditions and physical multimorbidity are significantly more sedentary. Targeted messages to reduce time spent sedentary among individuals with chronic conditions may ameliorate associated disability, mobility difficulties and pain that are themselves the most important risk factors for SB. Electronic supplementary material The online version of this article (10.1186/s12966-017-0602-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Davy Vancampfort
- KU Leuven Department of Rehabilitation Sciences, Tervuursevest 101, 3001, Leuven, Belgium. .,KU Leuven, University Psychiatric Center KU Leuven, Leuvensesteenweg 517, 3070, Kortenberg, Belgium.
| | - Brendon Stubbs
- Physiotherapy Department, South London and Maudsley NHS Foundation Trust, Denmark Hill, London, SE5 8AZ, UK.,Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, Box SE5 8AF, UK.,Faculty of Health, Social Care and Education, Anglia Ruskin University, Chelmsford, UK
| | - Ai Koyanagi
- Research and Development Unit, Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Fundació Sant Joan de Déu, Dr. Antoni Pujadas, 42, Sant Boi de Llobregat, 0883, Barcelona, Spain.,Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Monforte de Lemos 3-5 Pabellón 11, 28029, Madrid, Spain
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Digital Health Technologies to Promote Lifestyle Change and Adherence. CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE 2017. [DOI: 10.1007/s11936-017-0560-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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