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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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Glenn JM, Bryk K, Myers JR, Anderson J, Onguchi K, McFarlane J, Ozaki S. The efficacy and practicality of the Neurotrack Cognitive Battery assessment for utilization in clinical settings for the identification of cognitive decline in an older Japanese population. Front Aging Neurosci 2023; 15:1206481. [PMID: 37719874 PMCID: PMC10501833 DOI: 10.3389/fnagi.2023.1206481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 07/31/2023] [Indexed: 09/19/2023] Open
Abstract
Introduction Japan has the largest aging population with 33% of the population over the age of 60 years. The number of Japanese adults with dementia is estimated to be approximately 4.6 million, comprising nearly 15% of the older adult population. It is critical to administer cognitive assessments early in the disease state that have high reliability and low user burden to detect negative cognitive changes as early as possible; however, current preclinical AD detection methods are invasive, time-consuming, and expensive. A number of traditional and digital cognitive assessments are also available, but many of these tests are time-consuming, taxing to the user, and not widely scalable. The purpose of this study was to incorporate a digital cognitive assessment battery into a standard clinical assessment performed within a Japanese-based neuropsychology clinic to assess the diagnostic accuracy and the relationship between the digital Neurotrack Cognitive Assessment Battery (N-CAB) to traditional cognitive assessments. Methods Healthy individuals and probable Alzheimer's patients completed the N-CAB, as well as two traditional cognitive assessments, the Mini Mental Status Exam (MMSE) and the Revised Hasegawa's Dementia Scale (HDS-R). Results Our results demonstrate the Image Pairs hand-response phase of the N-CAB had the highest diagnostic accuracy with 95% sensitivity and 89% specificity to probable Alzheimer's disease. This was closely followed by the Symbol Match assessment, with a 96% sensitivity and 74% specificity to probable Alzheimer's disease. Additionally, Symbol Match and Path Points used in combination resulted in a sensitivity of 94%, specificity of 90%; a model with all N-CAB assessments resulted in a sensitivity and specificity of 100%. All N-CAB assessments had moderate to strong and significant correlations with the MMSE and HDS-R. Discussion Together, this suggests that the N-CAB assessment battery may be an appropriate alternative for the clinical screening of cognition for earlier detection of Alzheimer's disease.
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Affiliation(s)
- Jordan M. Glenn
- Neurotrack Technologies, Inc., Redwood City, CA, United States
| | - Kelsey Bryk
- Neurotrack Technologies, Inc., Redwood City, CA, United States
| | | | - John Anderson
- Neurotrack Technologies, Inc., Redwood City, CA, United States
| | - Kaori Onguchi
- Neurotrack Technologies, Inc., Redwood City, CA, United States
| | - Jacob McFarlane
- Neurotrack Technologies, Inc., Redwood City, CA, United States
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Szinay D, Forbes CC, Busse H, DeSmet A, Smit ES, König LM. Is the uptake, engagement, and effectiveness of exclusively mobile interventions for the promotion of weight-related behaviors equal for all? A systematic review. Obes Rev 2023; 24:e13542. [PMID: 36625062 DOI: 10.1111/obr.13542] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 09/28/2022] [Accepted: 12/06/2022] [Indexed: 01/11/2023]
Abstract
Mobile health interventions are promising behavior change tools. However, there is a concern that they may benefit some populations less than others and thus widen inequalities in health. This systematic review investigated differences in uptake of, engagement with, and effectiveness of mobile interventions for weight-related behaviors (i.e., diet, physical activity, and sedentary behavior) based on a range of inequality indicators including age, gender, race/ethnicity, and socioeconomic status. The protocol was registered on PROSPERO (CRD42020192473). Six databases (CINAHL, EMBASE, ProQuest, PsycINFO, Pubmed, and Web of Science) were searched from inception to July 2021. Publications were eligible for inclusion if they reported the results of an exclusively mobile intervention and examined outcomes by at least one inequality indicator. Sixteen publications reporting on 13 studies were included with most reporting on multiple behaviors and inequality indicators. Uptake was investigated in one study with no differences reported by the inequality indicators studied. Studies investigating engagement (n = 7) reported differences by age (n = 1), gender (n = 3), ethnicity (n = 2), and education (n = 2), while those investigating effectiveness (n = 9) reported differences by age (n = 3), gender (n = 5), education (n = 2), occupation (n = 1), and geographical location (n = 1). Given the limited number of studies and their inconsistent findings, evidence of the presence of a digital divide in mobile interventions targeting weight-related behaviors is inconclusive. Therefore, we recommend that inequality indicators are specifically addressed, analyzed, and reported when evaluating mobile interventions.
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Affiliation(s)
- Dorothy Szinay
- Behaviour and Implementation Science, School of Health Sciences, University of East Anglia, Norwich, UK.,Department of Behaviour Science and Health, University College London, London, UK
| | - Cynthia C Forbes
- Wolfson Palliative Care Research Centre, Hull York Medical School, University of Hull, Hull, UK
| | - Heide Busse
- Leibniz Institute of Prevention Research and Epidemiology - BIPS, Bremen, Germany.,Leibniz ScienceCampus Digital Public Health Bremen, Bremen, Germany
| | - Ann DeSmet
- Faculty of Psychology and Educational Sciences, Université Libre de Bruxelles, Brussels, Belgium.,Department of Communication Studies, University of Antwerp, Antwerp, Belgium
| | - Eline S Smit
- Amsterdam School of Communication Research/ASCoR, Department of Communication Science, University of Amsterdam, Amsterdam, The Netherlands
| | - Laura M König
- Faculty of Life Sciences, University of Bayreuth, Bayreuth, Germany.,Behavioural Science Group, Cambridge Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge, UK
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Myers JR, Glenn JM, Madero EN, Anderson J, Mak-McCully R, Gray M, Gills JL, Harrison JE. Asynchronous Remote Assessment for Cognitive Impairment: Reliability Verification of the Neurotrack Cognitive Battery. JMIR Form Res 2022; 6:e34237. [PMID: 35179511 PMCID: PMC8900894 DOI: 10.2196/34237] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 12/07/2021] [Accepted: 12/30/2021] [Indexed: 02/06/2023] Open
Abstract
Background As evidenced by the further reduction in access to testing during the COVID-19 pandemic, there is an urgent, growing need for remote cognitive assessment for individuals with cognitive impairment. The Neurotrack Cognitive Battery (NCB), our response to this need, was evaluated for its temporal reliability and stability as part of ongoing validation testing. Objective The aim of this study is to assess the temporal reliability of the NCB tests (5 total) across a 1-week period and to determine the temporal stability of these measures across 3 consecutive administrations in a single day. Methods For test-retest reliability, a range of 29-66 cognitively healthy participants (ages 18-68 years) completed each cognitive assessment twice, 1 week apart. In a separate study, temporal stability was assessed using data collected from 31 different cognitively healthy participants at 3 consecutive timepoints in a single day. Results Correlations for the assessments were between 0.72 and 0.83, exceeding the standard acceptable threshold of 0.70 for temporal reliability. Intraclass correlations ranged from 0.60 to 0.84, indicating moderate to good temporal stability. Conclusions These results highlight the NCB as a brief, easy-to-administer, and reliable assessment for remote cognitive testing. Additional validation research is underway to determine the full magnitude of the clinical utility of the NCB.
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Affiliation(s)
| | - Jordan M Glenn
- Neurotrack Technologies Inc, Redwood City, CA, United States.,University of Arkansas, Fayetteville, AR, United States
| | - Erica N Madero
- Neurotrack Technologies Inc, Redwood City, CA, United States
| | - John Anderson
- Neurotrack Technologies Inc, Redwood City, CA, United States
| | | | - Michelle Gray
- University of Arkansas, Fayetteville, AR, United States
| | | | - John E Harrison
- Metis Cognition Ltd, Kilmington Common, United Kingdom.,Alzheimer Center, VU Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Institute of Psychiatry, Psychology & Neuroscience, King's College, London, United Kingdom
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Owens AP, Ballard C, Beigi M, Kalafatis C, Brooker H, Lavelle G, Brønnick KK, Sauer J, Boddington S, Velayudhan L, Aarsland D. Implementing Remote Memory Clinics to Enhance Clinical Care During and After COVID-19. Front Psychiatry 2020; 11:579934. [PMID: 33061927 PMCID: PMC7530252 DOI: 10.3389/fpsyt.2020.579934] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 08/31/2020] [Indexed: 12/15/2022] Open
Abstract
Social isolation is likely to be recommended for older adults due to COVID-19, with ongoing reduced clinical contact suggested for this population. This has increased the need for remote memory clinics, we therefore review the literature, current practices and guidelines on organizing such remote memory clinics, focusing on assessment of cognition, function and other relevant measurements, proposing a novel pathway based on three levels of complexity: simple telephone or video-based interviews and testing using available tests (Level 1), digitized and validated methods based on standard pen-and-paper tests and scales (Level 2), and finally fully digitized cognitive batteries and remote measurement technologies (RMTs, Level 3). Pros and cons of these strategies are discussed. Remotely collected data negates the need for frail patients or carers to commute to clinic and offers valuable insights into progression over time, as well as treatment responses to therapeutic interventions, providing a more realistic and contextualized environment for data-collection. Notwithstanding several challenges related to internet access, computer skills, limited evidence base and regulatory and data protection issues, digital biomarkers collected remotely have significant potential for diagnosis and symptom management in older adults and we propose a framework and pathway for how technologies can be implemented to support remote memory clinics. These platforms are also well-placed for administration of digital cognitive training and other interventions. The individual, societal and public/private costs of COVID-19 are high and will continue to rise for some time but the challenges the pandemic has placed on memory services also provides an opportunity to embrace novel approaches. Remote memory clinics' financial, logistical, clinical and practical benefits have been highlighted by COVID-19, supporting their use to not only be maintained when social distancing legislation is lifted but to be devoted extra resources and attention to fully potentiate this valuable arm of clinical assessment and care.
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Affiliation(s)
- Andrew P Owens
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Clive Ballard
- The University of Exeter Medical School, The University of Exeter, Exeter, United Kingdom
| | - Mazda Beigi
- Psychological Medicine and Older Adults, South London & Maudsley NHS Foundation Trust, London, United Kingdom
| | - Chris Kalafatis
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Psychological Medicine and Older Adults, South London & Maudsley NHS Foundation Trust, London, United Kingdom
| | - Helen Brooker
- The University of Exeter Medical School, The University of Exeter, Exeter, United Kingdom.,Ecog Pro Ltd, Bristol, United Kingdom
| | - Grace Lavelle
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Kolbjørn K Brønnick
- SESAM-Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway.,Department of Public Health, Faculty of Health Sciences, University of Stavanger, Stavanger, Norway
| | - Justin Sauer
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Psychological Medicine and Older Adults, South London & Maudsley NHS Foundation Trust, London, United Kingdom
| | - Steve Boddington
- Psychological Medicine and Older Adults, South London & Maudsley NHS Foundation Trust, London, United Kingdom
| | - Latha Velayudhan
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Dag Aarsland
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Psychological Medicine and Older Adults, South London & Maudsley NHS Foundation Trust, London, United Kingdom.,SESAM-Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
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