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Vandelanotte C, Short CE, Plotnikoff RC, Schoeppe S, Alley SJ, To Q, Rebar AL, Duncan MJ. Does intervention engagement mediate physical activity change in a web-based computer-tailored physical activity intervention?-Secondary outcomes from a randomised controlled trial. Front Digit Health 2024; 6:1356067. [PMID: 38835671 PMCID: PMC11148347 DOI: 10.3389/fdgth.2024.1356067] [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: 12/15/2023] [Accepted: 05/09/2024] [Indexed: 06/06/2024] Open
Abstract
Introduction The relationship between intervention engagement and behaviour change may vary depending on the specific engagement metric being examined. To counter this composite engagement measures may provide a deeper understanding of the relationship between engagement and behaviour change, though few studies have applied such multidimensional engagement metrics. The aim of this secondary analysis of RCT data was to examine how a composite engagement score mediates the effect of a web-based computer-tailored physical activity intervention. Methods 501 inactive Australian adults were randomised to a no-treatment control or intervention group. Intervention participants received 8 sessions of web-based personalised physical activity advice over a 12-week intervention period and the ability to complete action plans. Change in physical activity was assessed using Actigraph accelerometers at baseline, 3-months and 9-months. Engagement with the intervention (i.e., a composite score including frequency, intensity, duration and type) was continuously assessed during the intervention period using website tracking software and database metrics. Generalised structural equation models were used to examine how a composite engagement score mediated intervention effects at 3 months and 9 months. Results At 3 months, mediation analysis revealed that the intervention group had significantly higher engagement scores than the control group [a-path exp(b) = 6.462, 95% CI = 5.121-7.804, p < 0.001]. Further, increased engagement with the intervention platform was associated with an increased time spent in moderate-to-vigorous physical activity [ab-coefficient exp(b) = 1.008, 95% CI = 1.004-1.014, P < 0.001]; however, the magnitude of this effect was small. There were no significant mediation effects at the 9-month time point. Discussion The findings suggest that a composite intervention engagement score has a small positive influence on physical activity changes and that other factors (e.g., behaviour change techniques) are likely to be more important drivers of behaviour change.
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Affiliation(s)
- Corneel Vandelanotte
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, QLD, Australia
| | - Camille E Short
- Melbourne Centre for Behaviour Change, Melbourne School of Psychological Science and Melbourne School of Health Science, University of Melbourne, Melbourne, VIC, Australia
| | - Ronald C Plotnikoff
- Centre of Active Living and Learning, College of Human and Social Futures, University of Newcastle, Newcastle, NSW, Australia
| | - Stephanie Schoeppe
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, QLD, Australia
| | - Stephanie J Alley
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, QLD, Australia
| | - Quyen To
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, QLD, Australia
| | - Amanda L Rebar
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, QLD, Australia
| | - Mitch J Duncan
- Centre of Active Living and Learning, College of Human and Social Futures, University of Newcastle, Newcastle, NSW, Australia
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Newcastle, NSW, Australia
- Active Living Research Program, Hunter Medical Research Institute, Newcastle, NSW, Australia
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Braun M, Carlier S, De Backere F, Van De Velde M, De Turck F, Crombez G, De Paepe AL. Identifying app components that promote physical activity: a group concept mapping study. PeerJ 2024; 12:e17100. [PMID: 38563015 PMCID: PMC10984184 DOI: 10.7717/peerj.17100] [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: 11/27/2023] [Accepted: 02/21/2024] [Indexed: 04/04/2024] Open
Abstract
Background Digital interventions are a promising avenue to promote physical activity in healthy adults. Current practices recommend to include end-users early on in the development process. This study focuses on the wishes and needs of users regarding an a mobile health (mHealth) application that promotes physical activity in healthy adults, and on the differences between participants who do or do not meet the World Health Organization's recommendation of an equivalent of 150 minutes of moderate intensity physical activity. Methods We used a mixed-method design called Group Concept Mapping. In a first phase, we collected statements completing the prompt "In an app that helps me move more, I would like to see/ do/ learn the following…" during four brainstorming sessions with physically inactive individuals (n = 19). The resulting 90 statements were then sorted and rated by a new group of participants (n = 46). Sorting data was aggregated, and (dis)similarity matrices were created using multidimensional scaling. Hierarchical clustering was applied using Ward's method. Analyses were carried out for the entire group, a subgroup of active participants and a subgroup of inactive participants. Explorative analyses further investigated ratings of the clusters as a function of activity level, gender, age and education. Results Six clusters of statements were identified, namely 'Ease-of-use and Self-monitoring', 'Technical Aspects and Advertisement', 'Personalised Information and Support', 'Motivational Aspects', 'Goal setting, goal review and rewards', and 'Social Features'. The cluster 'Ease-of-use and Self-monitoring' was rated highest in the overall group and the active subgroup, whereas the cluster 'Technical Aspects and Advertisement' was scored as most relevant in the inactive subgroup. For all groups, the cluster 'Social Features' was scored the lowest. Explorative analysis revealed minor between-group differences. Discussion The present study identified priorities of users for an mHealth application that promotes physical activity. First, the application should be user-friendly and accessible. Second, the application should provide personalized support and information. Third, users should be able to monitor their behaviour and compare their current activity to their past performance. Fourth, users should be provided autonomy within the app, such as over which and how many notifications they would like to receive, and whether or not they want to engage with social features. These priorities can serve as guiding principles for developing mHealth applications to promote physical activity in the general population.
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Affiliation(s)
- Maya Braun
- Experimental Clinical and Health Psychology, Universiteit Gent, Ghent, Belgium
| | - Stéphanie Carlier
- IDLab, Department of Information Technology - imec, Universiteit Gent, Ghent, Belgium
| | - Femke De Backere
- IDLab, Department of Information Technology - imec, Universiteit Gent, Ghent, Belgium
| | - Marie Van De Velde
- Experimental Clinical and Health Psychology, Universiteit Gent, Ghent, Belgium
| | - Filip De Turck
- IDLab, Department of Information Technology - imec, Universiteit Gent, Ghent, Belgium
| | - Geert Crombez
- Experimental Clinical and Health Psychology, Universiteit Gent, Ghent, Belgium
| | - Annick L. De Paepe
- Experimental Clinical and Health Psychology, Universiteit Gent, Ghent, Belgium
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Piernas C, Lee C, Hobson A, Harmer G, Payne Riches S, Noreik M, Jebb SA. A Behaviorally Informed Mobile App to Improve the Nutritional Quality of Grocery Shopping (SwapSHOP): Feasibility Randomized Controlled Trial. JMIR Mhealth Uhealth 2024; 12:e45854. [PMID: 38206671 PMCID: PMC10811579 DOI: 10.2196/45854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 04/29/2023] [Accepted: 11/27/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Interventions targeting the nutritional quality of grocery shopping have the potential to help improve diet and health outcomes. OBJECTIVE This study aims to assess the feasibility and acceptability of receiving advice on healthier food purchases through SwapSHOP, a behaviorally informed smartphone app that allows users to scan barcodes of grocery products from the United Kingdom, providing nutritional information and personalized swap suggestions to encourage healthier purchases. METHODS We randomized adult volunteers in a 6-arm parallel-group controlled feasibility trial. Participants used the SwapSHOP app to record their grocery shopping during a 2-week run-in period and were individually randomized in a 3:1 ratio to either intervention or control arms within 3 strata related to a nutrient of concern of their choice: saturated fat (SFA), sugar, or salt. Participants randomized to the intervention received the SwapSHOP app with a healthier swap function, goal setting, and personalized feedback. Participants in the control group were instructed to use a simpler version of the app to log all their food purchases without receiving any guidance or advice. The primary outcome was the feasibility of progression to a full trial, including app use and follow-up rates at 6 weeks. The secondary outcomes included other feasibility outcomes, process and qualitative measures, and exploratory effectiveness outcomes to assess changes in the nutrient content of the purchased foods. RESULTS A total of 112 participants were randomized into 3 groups: SFA (n=38 intervention and n=13 control), sugar (n=40 intervention and n=15 control), and salt (n=5 intervention and n=1 control, not analyzed). The 2 progression criteria were met for SFA and sugar: 81% (30/37) and 87% (34/39) of intervention participants in the SFA and sugar groups, respectively, used the app to obtain healthier swaps, and 89% (68/76) of intervention participants and 96% (23/24) of control participants completed follow-up by scanning all purchases over the follow-up period. The process and qualitative outcomes suggested that the intervention was acceptable and has the potential to influence shopping behaviors. There were reductions of -0.56 g per 100 g (95% CI -1.02 to -0.19) in SFA and -1 g per 100 g (95% CI -1.97 to -0.03) in total sugars across all food purchases in the intervention groups. CONCLUSIONS People were willing to use the SwapSHOP app to help reduce sugar and SFA (but not salt) in their grocery shopping. Adherence and follow-up rates suggest that a full trial is feasible. Given the suggestive evidence indicating that the intervention resulted in reductions in sugars and SFA, a definitive trial is necessary to target improvements in health outcomes. TRIAL REGISTRATION International Standard Randomised Controlled Trial Number ISRCTN13022312; https://doi.org/10.1186/ISRCTN13022312.
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Affiliation(s)
- Carmen Piernas
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
- Department of Biochemistry and Molecular Biology II, Center for Biomedical Research (CIBM), Institute of Nutrition and Food Technology (INYTA), University of Granada, Granada, Spain
| | - Charlotte Lee
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Alice Hobson
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Georgina Harmer
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Sarah Payne Riches
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Michaela Noreik
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
- Faculty of Food and Nutrition Sciences, Hochschule Niederrhein, Mönchengladbach, Germany
| | - Susan A Jebb
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
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Regan C, Rosen PV, Andermo S, Hagströmer M, Johansson UB, Rossen J. The acceptability, usability, engagement and optimisation of a mHealth service promoting healthy lifestyle behaviours: A mixed method feasibility study. Digit Health 2024; 10:20552076241247935. [PMID: 38638403 PMCID: PMC11025415 DOI: 10.1177/20552076241247935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 03/28/2024] [Indexed: 04/20/2024] Open
Abstract
Objective Mobile health (mHealth) services suffer from high attrition rates yet represent a viable strategy for adults to improve their health. There is a need to develop evidence-based mHealth services and to constantly evaluate their feasibility. This study explored the acceptability, usability, engagement and optimisation of a co-developed mHealth service, aiming to promote healthy lifestyle behaviours. Methods The service LongLife Active® (LLA) is a mobile app with coaching. Adults were recruited from the general population. Quantitative results and qualitative findings guided the reasoning for the acceptability, usability, engagement and optimisation of LLA. Data from: questionnaires, log data, eight semi-structured interviews with users, feedback comments from users and two focus groups with product developers and coaches were collected. Inductive content analysis was used to analyse the qualitative data. A mixed method approach was used to interpret the findings. Results The final sample was 55 users (82% female), who signed up to use the service for 12 weeks. Engagement data was available for 43 (78%). The action plan was the most popular function engaged with by users. The mean scores for acceptability and usability were 3.3/5.0 and 50/100, respectively, rated by 15 users. Users expressed that the service's health focus was unique, and the service gave them a 'kickstart' in their behaviour change. Many ways to optimise the service were identified, including to increase personalisation, promote motivation and improve usability. Conclusion By incorporating suggestions for optimisation, this service has the potential to support peoples' healthy lifestyle behaviours.
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Affiliation(s)
- Callum Regan
- Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Phillip Von Rosen
- Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Susanne Andermo
- Division of Nursing, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Department of Sport Science, The Swedish School of Sport and Health Sciences, Stockholm, Sweden
| | - Maria Hagströmer
- Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Academic Primary Health Care Centre, Region Stockholm, Stockholm, Sweden
- Department of Health Promoting Science, Sophiahemmet University, Stockholm, Sweden
| | - Unn-Britt Johansson
- Department of Health Promoting Science, Sophiahemmet University, Stockholm, Sweden
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Jenny Rossen
- Department of Health Promoting Science, Sophiahemmet University, Stockholm, Sweden
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Worthington A, Gillies N, Hannaford R, Roy R, Braakhuis A. Implementing multicomponent, eHealth-based behaviour change support within a dietary intervention trial improves adherence to study-related behaviours in healthy young adults. BMC Nutr 2023; 9:134. [PMID: 37990250 PMCID: PMC10664496 DOI: 10.1186/s40795-023-00798-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 11/14/2023] [Indexed: 11/23/2023] Open
Abstract
BACKGROUND Behaviour change science is proposed to improve participant retention and enhance the validity of trials. However, researchers seldom systematically consider and implement behaviour change strategies within trials for this purpose. The objective of this article is to evaluate how an eHealth behaviour change support (BCS) program enhances young adults' adherence to behaviours required within a dietary intervention. METHODS The Nine Principles framework was used to develop BCS to implement across both arms of a 10-week randomised parallel-group intervention to enhance adherence to (i) eating healthily and (ii) reporting dietary intake. Key components of the BCS included access to a dietitian-led Facebook group, text reminders, and food delivery. Effectiveness was measured using the following analyses of the 78 participants who completed the study; pre-post change in targeted dietary habits over time using a subscore of the Healthy Diet Habits Index, questionnaire to assess change in perception of barriers to eating healthily over time, Facebook group engagement, and impact evaluation of the BCS. Participants received a dietary reporting score out of 100 to assess adherence across the 10 weeks. RESULTS The total Healthy Diet Habits Index subscore out of 16 significantly increased from baseline to week 10 (10.6 ± 2.6 to 11.2 ± 2.6, p value < 0.05), driven primarily by an increase in vegetable consumption. Overall adherence to reporting was high across the 10 weeks, with the total population mean reporting score 90.4 ± 14.6 out of 100. Relatively low Facebook engagement was observed. Adding objects to the environment, prompts/cues and removing reward appeared to be effective components of the BCS for enhancing adherence to the target behaviours. CONCLUSION Using a behaviour change framework to support the design of randomised trials is a promising way to enhance participant adherence to study requirements that are typically considered burdensome, such as dietary reporting. It also enables researchers to identify and replicate effective components of BCS, including behaviour change techniques and modes of delivery. Further research into the use of different behaviour change frameworks for this purpose is warranted. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT04869163; https://clinicaltrials.gov/ct2/show/NCT04869163 . (03/05/2021).
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Affiliation(s)
- Anna Worthington
- Discipline of Nutrition, School of Medical Sciences, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
| | - Nicola Gillies
- Discipline of Nutrition, School of Medical Sciences, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
| | - Rina Hannaford
- Bioinformatics & Statistics Team, AgResearch Ltd, Palmerston North, New Zealand
| | - Rajshri Roy
- Discipline of Nutrition, School of Medical Sciences, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
| | - Andrea Braakhuis
- Discipline of Nutrition, School of Medical Sciences, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
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Brame J, Kohl J, Centner C, Wurst R, Fuchs R, Tinsel I, Maiwald P, Fichtner UA, Sehlbrede M, Farin-Glattacker E, Gollhofer A, König D. Effects of a Web-Based Lifestyle Intervention on Physical Fitness and Health in Physically Inactive Adults: A Randomized Controlled Trial. Healthcare (Basel) 2023; 11:2847. [PMID: 37957992 PMCID: PMC10649962 DOI: 10.3390/healthcare11212847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 10/25/2023] [Accepted: 10/26/2023] [Indexed: 11/15/2023] Open
Abstract
Web-based lifestyle interventions are a new area of health research. This randomized controlled trial evaluated the effectiveness of an interactive web-based health program on physical fitness and health. N = 189 healthy adults participated in a 12-week interactive (intervention) or non-interactive (control) web-based health program. The intervention provided a web-based lifestyle intervention to promote physical activity and fitness through individualized activities as part of a fully automated, multimodal health program. The control intervention included health information. Cardiorespiratory fitness measured as maximum oxygen uptake (VO2max) was the primary outcome, while musculoskeletal fitness, physical activity and dietary behavior, and physiological health outcomes were assessed as secondary outcomes (t0: 0 months, t1: 3 months, t2: 9 months, t3: 15 months). Statistical analysis was performed with robust linear mixed models. There were significant time effects in the primary outcome (VO2max) (t0-t1: p = 0.018) and individual secondary outcomes for the interactive web-based health program, but no significant interaction effects in any of the outcomes between the interactive and non-interactive web-based health program. This study did not demonstrate the effectiveness of an interactive compared with a non-interactive web-based health program in physically inactive adults. Future research should further develop the evidence on web-based lifestyle interventions.
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Affiliation(s)
- Judith Brame
- Department of Sport and Sport Science, University of Freiburg, 79102 Freiburg, Germany; (J.B.)
| | - Jan Kohl
- Department of Sport and Sport Science, University of Freiburg, 79102 Freiburg, Germany; (J.B.)
| | - Christoph Centner
- Department of Sport and Sport Science, University of Freiburg, 79102 Freiburg, Germany; (J.B.)
- Praxisklinik Rennbahn, 4132 Muttenz, Switzerland
| | - Ramona Wurst
- Department of Sport and Sport Science, University of Freiburg, 79102 Freiburg, Germany; (J.B.)
| | - Reinhard Fuchs
- Department of Sport and Sport Science, University of Freiburg, 79102 Freiburg, Germany; (J.B.)
| | - Iris Tinsel
- Institute of Medical Biometry and Statistics, Section of Health Care Research and Rehabilitation Research, Faculty of Medicine and Medical Center–University of Freiburg, 79106 Freiburg, Germany
| | - Phillip Maiwald
- Institute of Medical Biometry and Statistics, Section of Health Care Research and Rehabilitation Research, Faculty of Medicine and Medical Center–University of Freiburg, 79106 Freiburg, Germany
| | - Urs A. Fichtner
- Institute of Medical Biometry and Statistics, Section of Health Care Research and Rehabilitation Research, Faculty of Medicine and Medical Center–University of Freiburg, 79106 Freiburg, Germany
| | - Matthias Sehlbrede
- Institute of Medical Biometry and Statistics, Section of Health Care Research and Rehabilitation Research, Faculty of Medicine and Medical Center–University of Freiburg, 79106 Freiburg, Germany
| | - Erik Farin-Glattacker
- Institute of Medical Biometry and Statistics, Section of Health Care Research and Rehabilitation Research, Faculty of Medicine and Medical Center–University of Freiburg, 79106 Freiburg, Germany
| | - Albert Gollhofer
- Department of Sport and Sport Science, University of Freiburg, 79102 Freiburg, Germany; (J.B.)
| | - Daniel König
- Centre for Sport Science and University Sports, Department of Sport Science, Division for Nutrition, Exercise and Health, University of Vienna, 1150 Vienna, Austria
- Faculty of Life Sciences, Department of Nutritional Sciences, Division for Nutrition, Exercise and Health, University of Vienna, 1090 Vienna, Austria
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Alley S, Plotnikoff RC, Duncan MJ, Short CE, Mummery K, To QG, Schoeppe S, Rebar A, Vandelanotte C. Does matching a personally tailored physical activity intervention to participants' learning style improve intervention effectiveness and engagement? J Health Psychol 2023; 28:889-899. [PMID: 36440676 DOI: 10.1177/13591053221137184] [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] [Indexed: 08/23/2023] Open
Abstract
This study aims to compare the effectiveness, engagement, usability, and acceptability of a web-based, computer-tailored physical activity intervention (provided as video or text) between participants who were matched or mismatched to their self-reported learning style (visual and auditory delivery through video or text-based information). Generalised linear mixed models were conducted to compare time (baseline, 3 months) by group (matched, mismatched) on ActiGraph-GT3X+measured moderate-to-vigorous physical activity (MVPA) and steps. Generalised linear models were used to compare group (matched and mismatched) on session completion, time-on-site, usability, and acceptability. MVPA and steps improved from baseline to 3-months, however this did not differ between participants whose learning styles were matched or mismatched to the intervention they received. Session completion, time-on-site, usability, and acceptability did not differ between matched and mismatched participants. Therefore, aligning intervention delivery format to learning style is unlikely to influence intervention effectiveness or engagement.
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Affiliation(s)
- Stephanie Alley
- Appleton Institute, Physical Activity Research Group, Central Queensland University, Rockhampton, QLD, Australia
| | - Ronald C Plotnikoff
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, Newcastle, NSW, Australia
| | - Mitch J Duncan
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, Newcastle, NSW, Australia
| | - Camille E Short
- Faculty of Medicine, Dentistry and Health Science, Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, VIC, Australia
| | - Kerry Mummery
- Faculty of Kinesiology, Sport and Recreation, University of Alberta, Edmonton, AB, Canada
| | - Quyen G To
- Appleton Institute, Physical Activity Research Group, Central Queensland University, Rockhampton, QLD, Australia
| | - Stephanie Schoeppe
- Appleton Institute, Physical Activity Research Group, Central Queensland University, Rockhampton, QLD, Australia
| | - Amanda Rebar
- Appleton Institute, Physical Activity Research Group, Central Queensland University, Rockhampton, QLD, Australia
| | - Corneel Vandelanotte
- Appleton Institute, Physical Activity Research Group, Central Queensland University, Rockhampton, QLD, Australia
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Vandelanotte C, Trost S, Hodgetts D, Imam T, Rashid M, To QG, Maher C. Increasing physical activity using an just-in-time adaptive digital assistant supported by machine learning: A novel approach for hyper-personalised mHealth interventions. J Biomed Inform 2023; 144:104435. [PMID: 37394024 DOI: 10.1016/j.jbi.2023.104435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 06/26/2023] [Accepted: 06/28/2023] [Indexed: 07/04/2023]
Abstract
OBJECTIVE Physical inactivity is a leading modifiable cause of death and disease worldwide. Population-based interventions to increase physical activity are needed. Existing automated expert systems (e.g., computer-tailored interventions) have significant limitations that result in low long-term effectiveness. Therefore, innovative approaches are needed. This special communication aims to describe and discuss a novel mHealth intervention approach that proactively offers participants with hyper-personalised intervention content adjusted in real-time. METHODS Using machine learning approaches, we propose a novel physical activity intervention approach that can learn and adapt in real-time to achieve high levels of personalisation and user engagement, underpinned by a likeable digital assistant. It will consist of three major components: (1) conversations: to increase user's knowledge on a wide range of activity-related topics underpinned by Natural Language Processing; (2) nudge engine: to provide users with hyper-personalised cues to action underpinned by reinforcement learning (i.e., contextual bandit) and integrating real-time data from activity tracking, GPS, GIS, weather, and user provided data; (3) Q&A: to facilitate users asking any physical activity related questions underpinned by generative AI (e.g., ChatGPT, Bard) for content generation. RESULTS The detailed concept of the proposed physical activity intervention platform demonstrates the practical application of a just-in-time adaptive intervention applying various machine learning techniques to deliver a hyper-personalised physical activity intervention in an engaging way. Compared to traditional interventions, the novel platform is expected to show potential for increased user engagement and long-term effectiveness due to: (1) using new variables to personalise content (e.g., GPS, weather), (2) providing behavioural support at the right time in real-time, (3) implementing an engaging digital assistant and (4) improving the relevance of content through applying machine learning algorithms. CONCLUSION The use of machine learning is on the rise in every aspect of today's society, however few attempts have been undertaken to harness its potential to achieve health behaviour change. By sharing our intervention concept, we contribute to the ongoing dialogue on creating effective methods for promoting health and well-being in the informatics research community. Future research should focus on refining these techniques and evaluating their effectiveness in controlled and real-world circumstances.
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Affiliation(s)
- Corneel Vandelanotte
- Appleton Institute, Central Queensland University, Bruce Highway, Rockhampton, Queensland 4702, Australia.
| | - Stewart Trost
- School of Human Movement and Nutrition Science, The University of Queensland, St Lucia, Queensland 4072, Australia.
| | - Danya Hodgetts
- Appleton Institute, Central Queensland University, Bruce Highway, Rockhampton, Queensland 4702, Australia.
| | - Tasadduq Imam
- School of Business and Law, Central Queensland University, 120 Spencer Street, Melbourne, Victoria 3000, Australia.
| | - Mamunur Rashid
- School of Engineering and Technology, Central Queensland University, 120 Spencer Street, Melbourne, Victoria 3000, Australia.
| | - Quyen G To
- Appleton Institute, Central Queensland University, Bruce Highway, Rockhampton, Queensland 4702, Australia.
| | - Carol Maher
- Allied Health and Human Performance, University of South Australia, City East Campus, Adelaide, South Australia 5001, Australia.
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9
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Hietbrink EAG, Oude Nijeweme-d'Hollosy W, Middelweerd A, Konijnendijk AAJ, Schrijver LK, Ten Voorde AS, Fokkema EMS, Laverman GD, Vollenbroek-Hutten MMR. A Digital Coach (E-Supporter 1.0) to Support Physical Activity and a Healthy Diet in People With Type 2 Diabetes: Acceptability and Limited Efficacy Testing. JMIR Form Res 2023; 7:e45294. [PMID: 37505804 PMCID: PMC10422172 DOI: 10.2196/45294] [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: 12/23/2022] [Revised: 06/13/2023] [Accepted: 06/20/2023] [Indexed: 07/29/2023] Open
Abstract
BACKGROUND A healthy lifestyle, including regular physical activity and a healthy diet, is increasingly part of type 2 diabetes (T2D) management. As many people with T2D have difficulty living and maintaining a healthy lifestyle, there is a need for effective interventions. eHealth interventions that incorporate behavior change theories and tailoring are considered effective tools for supporting a healthy lifestyle. The E-Supporter 1.0 digital coach contains eHealth content for app-based eHealth interventions and offers tailored coaching regarding physical activity and a healthy diet for people with T2D. OBJECTIVE This study aimed to assess the acceptability of E-Supporter 1.0 and explore its limited efficacy on physical activity, dietary behavior, the phase of behavior change, and self-efficacy levels. METHODS Over a span of 9 weeks, 20 individuals with T2D received daily motivational messages and weekly feedback derived from behavioral change theories and determinants through E-Supporter 1.0. The acceptability of the intervention was assessed using telephone-conducted, semistructured interviews. The interview transcripts were coded using inductive thematic analysis. The limited efficacy of E-Supporter 1.0 was explored using the Fitbit Charge 2 to monitor step count to assess physical activity and questionnaires to assess dietary behavior (using the Dutch Healthy Diet index), phase of behavior change (using the single-question Self-Assessment Scale Stages of Change), and self-efficacy levels (using the Exercise Self-Efficacy Scale). RESULTS In total, 5 main themes emerged from the interviews: perceptions regarding remote coaching, perceptions regarding the content, intervention intensity and duration, perceived effectiveness, and overall appreciation. The participants were predominantly positive about E-Supporter 1.0. Overall, they experienced E-Supporter 1.0 as a useful and easy-to-use intervention to support a better lifestyle. Participants expressed a preference for combining E-Supporter with face-to-face guidance from a health care professional. Many participants found the intensity and duration of the intervention to be acceptable, despite the coaching period appearing relatively short to facilitate long-term behavior maintenance. As expected, the degree of tailoring concerning the individual and external factors that influence a healthy lifestyle was perceived as limited. The limited efficacy testing showed a significant improvement in the daily step count (z=-2.040; P=.04) and self-efficacy levels (z=-1.997; P=.046) between baseline and postintervention. Diet was improved through better adherence to Dutch dietary guidelines. No significant improvement was found in the phase of behavior change (P=.17), as most participants were already in the maintenance phase at baseline. CONCLUSIONS On the basis of this explorative feasibility study, we expect E-Supporter 1.0 to be an acceptable and potentially useful intervention to promote physical activity and a healthy diet in people with T2D. Additional work needs to be done to further tailor the E-Supporter content and evaluate its effects more extensively on lifestyle behaviors.
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Affiliation(s)
- Eclaire A G Hietbrink
- Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands
- Department of Internal Medicine/Nephrology, Ziekenhuisgroep Twente (ZGT), Almelo, Netherlands
| | | | - Anouk Middelweerd
- Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands
| | - Annemieke A J Konijnendijk
- Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands
- Office of Research and Innovation, Santeon, Utrecht, Netherlands
| | - Laura K Schrijver
- Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands
- Department of Internal Medicine/Nephrology, Ziekenhuisgroep Twente (ZGT), Almelo, Netherlands
| | - Anouk S Ten Voorde
- Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands
| | - Elise M S Fokkema
- Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands
| | - Gozewijn D Laverman
- Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands
- Department of Internal Medicine/Nephrology, Ziekenhuisgroep Twente (ZGT), Almelo, Netherlands
| | - Miriam M R Vollenbroek-Hutten
- Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands
- Board of Directors, Medisch Spectrum Twente (MST), Enschede, Netherlands
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10
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Barati Jozan MM, Ghorbani BD, Khalid MS, Lotfata A, Tabesh H. Impact assessment of e-trainings in occupational safety and health: a literature review. BMC Public Health 2023; 23:1187. [PMID: 37340453 DOI: 10.1186/s12889-023-16114-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 06/13/2023] [Indexed: 06/22/2023] Open
Abstract
BACKGROUND Implementing workplace preventive interventions reduces occupational accidents and injuries, as well as the negative consequences of those accidents and injuries. Online occupational safety and health training is one of the most effective preventive interventions. This study aims to present current knowledge on e-training interventions, make recommendations on the flexibility, accessibility, and cost-effectiveness of online training, and identify research gaps and obstacles. METHOD All studies that addressed occupational safety and health e-training interventions designed to address worker injuries, accidents, and diseases were chosen from PubMed and Scopus until 2021. Two independent reviewers conducted the screening process for titles, abstracts, and full texts, and disagreements on the inclusion or exclusion of an article were resolved by consensus and, if necessary, by a third reviewer. The included articles were analyzed and synthesized using the constant comparative analysis method. RESULT The search identified 7,497 articles and 7,325 unique records. Following the title, abstract, and full-text screening, 25 studies met the review criteria. Of the 25 studies, 23 were conducted in developed and two in developing countries. The interventions were carried out on either the mobile platform, the website platform, or both. The study designs and the number of outcomes of the interventions varied significantly (multi-outcomes vs. single-outcome). Obesity, hypertension, neck/shoulder pain, office ergonomics issues, sedentary behaviors, heart disease, physical inactivity, dairy farm injuries, nutrition, respiratory problems, and diabetes were all addressed in the articles. CONCLUSION According to the findings of this literature study, e-trainings can significantly improve occupational safety and health. E-training is adaptable, affordable, and can increase workers' knowledge and abilities, resulting in fewer workplace injuries and accidents. Furthermore, e-training platforms can assist businesses in tracking employee development and ensuring that training needs are completed. Overall, this analysis reveals that e-training has enormous promise in the field of occupational safety and health for both businesses and employees.
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Affiliation(s)
- Mohammad Mahdi Barati Jozan
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Md Saifuddin Khalid
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Aynaz Lotfata
- School Of Veterinary Medicine, Department Of Veterinary Pathology, University of California, Davis, USA
| | - Hamed Tabesh
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
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11
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Sweeney AM, Wilson DK, Resnicow K, Van Horn ML, Kitzman H. Engagement With Tailored Physical Activity Content: Secondary Findings From the Families Improving Together for Weight Loss Randomized Controlled Trial. J Med Internet Res 2023; 25:e42581. [PMID: 37043271 PMCID: PMC10134014 DOI: 10.2196/42581] [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: 09/09/2022] [Revised: 01/29/2023] [Accepted: 02/24/2023] [Indexed: 04/13/2023] Open
Abstract
BACKGROUND Web-based tailored interventions offer rich opportunities for improved access to and personalization of behavioral interventions. However, despite the promise of this approach, the engagement and underrepresentation of minority groups remain major issues. OBJECTIVE This study evaluated whether engagement (log-in status and log-in duration) with different types of tailored behavioral content from the Families Improving Together for weight loss web-based intervention was associated with changes in moderate to vigorous physical activity (MVPA) among African American families with overweight or obesity. METHODS Parent-adolescent dyads were randomized to a web-based tailored intervention or web-based health education comparison program. The web-based intervention (N=119) was completed by parents and targeted 6 weight-related behaviors to support their adolescent children's weight loss goals (session contents included energy balance, fast food, fruits and vegetables, physical activity [PA], sedentary behavior, and sweetened beverages). MVPA was measured using accelerometers at baseline and after the intervention. RESULTS Using a hierarchical approach, the log-in status and duration for each web-based session were used to evaluate the additive effects of engagement with different types of tailored behavioral content on MVPA after the web-based intervention. Among parents, logging in to the PA session was not associated with greater MVPA (B=-12.561, 95% CI -18.759 to -6.367), but MVPA increased with greater log-in duration for the PA (B=0.008, 95% CI 0.004-0.012) and sedentary behavior (B= 0.008, 95% CI 0.004-0.012) sessions. These results suggest that parents who logged in to the PA session had lower MVPA, but MVPA increased with greater log-in duration for the PA and sedentary behavior sessions. These associations remained even after accounting for engagement with other content sessions. However, these engagement effects did not translate to the adolescents. CONCLUSIONS The results of this study highlight the need to disentangle the impact of engagement with different tailored content to improve the efficacy of tailored web-based interventions, especially for promoting PA in African American families. TRIAL REGISTRATION ClinicalTrials.gov NCT01796067; https://clinicaltrials.gov/ct2/show/NCT01796067.
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Affiliation(s)
- Allison M Sweeney
- Department of Biobehavioral Health & Nursing Science, College of Nursing, University of South Carolina, Columbia, SC, United States
| | - Dawn K Wilson
- Department of Psychology, University of South Carolina, Columbia, SC, United States
| | - Kenneth Resnicow
- Department of Health Behavior & Health Education, University of Michigan, Ann Arbor, MI, United States
| | - M Lee Van Horn
- Department of Individual, Family, and Community Education, University of New Mexico, Albuquerque, NM, United States
| | - Heather Kitzman
- Baylor Scott and White Health, Baylor Scott & White Health and Wellness Center, Dallas, TX, United States
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12
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Alley SJ, Schoeppe S, To QG, Parkinson L, van Uffelen J, Hunt S, Duncan MJ, Schneiders A, Vandelanotte C. Engagement, acceptability, usability and satisfaction with Active for Life, a computer-tailored web-based physical activity intervention using Fitbits in older adults. Int J Behav Nutr Phys Act 2023; 20:15. [PMID: 36788546 PMCID: PMC9926785 DOI: 10.1186/s12966-023-01406-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 01/05/2023] [Indexed: 02/16/2023] Open
Abstract
BACKGROUND Preliminary evidence suggests that web-based physical activity interventions with tailored advice and Fitbit integration are effective and may be well suited to older adults. Therefore, this study aimed to examine the engagement, acceptability, usability, and satisfaction with 'Active for Life,' a web-based physical activity intervention providing computer-tailored physical activity advice to older adults. METHODS Inactive older adults (n = 243) were randomly assigned into 3 groups: 1) tailoring + Fitbit, 2) tailoring only, or 3) a wait-list control. The tailoring + Fitbit group and the tailoring-only group received 6 modules of computer-tailored physical activity advice over 12 weeks. The advice was informed by objective Fitbit data in the tailoring + Fitbit group and self-reported physical activity in the tailoring-only group. This study examined the engagement, acceptability, usability, and satisfaction of Active for Life in intervention participants (tailoring + Fitbit n = 78, tailoring only n = 96). Wait-list participants were not included. Engagement (Module completion, time on site) were objectively recorded through the intervention website. Acceptability (7-point Likert scale), usability (System Usability Scale), and satisfaction (open-ended questions) were assessed using an online survey at post intervention. ANOVA and Chi square analyses were conducted to compare outcomes between intervention groups and content analysis was used to analyse program satisfaction. RESULTS At post-intervention (week 12), study attrition was 28% (22/78) in the Fitbit + tailoring group and 39% (37/96) in the tailoring-only group. Engagement and acceptability were good in both groups, however there were no group differences (module completions: tailoring + Fitbit: 4.72 ± 2.04, Tailoring-only: 4.23 ± 2.25 out of 6 modules, p = .14, time on site: tailoring + Fitbit: 103.46 ± 70.63, Tailoring-only: 96.90 ± 76.37 min in total, p = .56, and acceptability of the advice: tailoring + Fitbit: 5.62 ± 0.89, Tailoring-only: 5.75 ± 0.75 out of 7, p = .41). Intervention usability was modest but significantly higher in the tailoring + Fitbit group (tailoring + Fitbit: 64.55 ± 13.59, Tailoring-only: 57.04 ± 2.58 out of 100, p = .003). Participants reported that Active for Life helped motivate them, held them accountable, improved their awareness of how active they were and helped them to become more active. Conversely, many participants felt as though they would prefer personal contact, more detailed tailoring and more survey response options. CONCLUSIONS This study supports web-based physical activity interventions with computer-tailored advice and Fitbit integration as engaging and acceptable in older adults. TRIAL REGISTRATION Australian and New Zealand Clinical Trials Registry: ACTRN12618000646246. Registered April 23 2018, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=374901.
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Affiliation(s)
- Stephanie J. Alley
- grid.1023.00000 0001 2193 0854Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD Australia
| | - Stephanie Schoeppe
- grid.1023.00000 0001 2193 0854Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD Australia
| | - Quyen G. To
- grid.1023.00000 0001 2193 0854Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD Australia
| | - Lynne Parkinson
- grid.266842.c0000 0000 8831 109XSchool of Medicine & Public Health, College of Health, Medicine, and Wellbeing, The University of Newcastle, Callaghan, NSW Australia
| | - Jannique van Uffelen
- grid.5596.f0000 0001 0668 7884Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - Susan Hunt
- grid.1023.00000 0001 2193 0854School of Nursing, Midwifery and Social Sciences, Central Queensland University, Melbourne, VIC Australia
| | - Mitch J. Duncan
- grid.266842.c0000 0000 8831 109XSchool of Medicine & Public Health, College of Health, Medicine, and Wellbeing, The University of Newcastle, Callaghan, NSW Australia
| | - Anthony Schneiders
- grid.1023.00000 0001 2193 0854School of Health, Medical and Applied Sciences, Central Queensland University, Gladstone, QLD Australia
| | - Corneel Vandelanotte
- grid.1023.00000 0001 2193 0854Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD Australia
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13
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Kushniruk A, Middelweerd A, van Empelen P, Preuhs K, Konijnendijk AAJ, Oude Nijeweme-d'Hollosy W, Schrijver LK, Laverman GD, Vollenbroek-Hutten MMR. A Digital Lifestyle Coach (E-Supporter 1.0) to Support People With Type 2 Diabetes: Participatory Development Study. JMIR Hum Factors 2023; 10:e40017. [PMID: 36633898 PMCID: PMC9947918 DOI: 10.2196/40017] [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: 06/01/2022] [Revised: 09/29/2022] [Accepted: 11/20/2022] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND A healthy lifestyle, including regular physical activity and a healthy diet, is becoming increasingly important in the treatment of chronic diseases. eHealth interventions that incorporate behavior change techniques (BCTs) and dynamic tailoring strategies could effectively support a healthy lifestyle. E-Supporter 1.0 is an eCoach designed to support physical activity and a healthy diet in people with type 2 diabetes (T2D). OBJECTIVE This paper aimed to describe the systematic development of E-Supporter 1.0. METHODS Our systematic design process consisted of 3 phases. The definition phase included the selection of the target group and formulation of intervention objectives, and the identification of behavioral determinants based on which BCTs were selected to apply in the intervention. In the development phase, intervention content was developed by specifying tailoring variables, intervention options, and decision rules. In the last phase, E-Supporter 1.0 integrated in the Diameter app was evaluated using a usability test in 9 people with T2D to assess intervention usage and acceptability. RESULTS The main intervention objectives were to stimulate light to moderate-vigorous physical activities or adherence to the Dutch dietary guidelines in people with T2D. The selection of behavioral determinants was informed by the health action process approach and theories explaining behavior maintenance. BCTs were included to address relevant behavioral determinants (eg, action control, self-efficacy, and coping planning). Development of the intervention resulted in 3 types of intervention options, consisting of motivational messages, behavioral feedback, and tailor-made supportive exercises. On the basis of IF-THEN rules, intervention options could be tailored to, among others, type of behavioral goal and (barriers to) goal achievement. Data on these variables could be collected using app data, activity tracker data, and daily ecological momentary assessments. Usability testing revealed that user experiences were predominantly positive, despite some problems in the fixed delivery of content. CONCLUSIONS The systematic development approach resulted in a theory-based and dynamically tailored eCoach. Future work should focus on expanding intervention content to other chronic diseases and lifestyle behaviors, enhancing the degree of tailoring and evaluating intervention effects on acceptability, use, and cost-effectiveness.
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Affiliation(s)
| | - Anouk Middelweerd
- Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands
| | - Pepijn van Empelen
- Department of Child Health, TNO (Netherlands Organization for Applied Scientific Research), Leiden, Netherlands
| | - Katharina Preuhs
- Department of Child Health, TNO (Netherlands Organization for Applied Scientific Research), Leiden, Netherlands
| | | | | | - Laura K Schrijver
- Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands
| | - Gozewijn D Laverman
- Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands.,Department of Internal Medicine/Nephrology, Ziekenhuisgroep Twente, Almelo, Netherlands
| | - Miriam M R Vollenbroek-Hutten
- Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands.,Board of Directors, Medisch Spectrum Twente, Enschede, Netherlands
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14
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Determinants of consumer acceptance and use of personalized dietary advice: A systematic review. Trends Food Sci Technol 2022. [DOI: 10.1016/j.tifs.2022.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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15
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Triantafyllidis A, Alexiadis A, Elmas D, Gerovasilis G, Votis K, Tzovaras D. A social robot-based platform for health behavior change toward prevention of childhood obesity. UNIVERSAL ACCESS IN THE INFORMATION SOCIETY 2022; 22:1-11. [PMID: 36211232 PMCID: PMC9526206 DOI: 10.1007/s10209-022-00922-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 09/20/2022] [Indexed: 06/16/2023]
Abstract
Childhood obesity is a major public health challenge which is linked with the occurrence of diseases such as diabetes and cancer. The COVID-19 pandemic has forced changes to the lifestyle behaviors of children, thereby making the risk of developing obesity even greater. Novel preventive tools and approaches are required to fight childhood obesity. We present a social robot-based platform which utilizes an interactive motivational strategy in communication with children, collects self-reports through the touch of tangible objects, and processes behavioral data, aiming to: (a) screen and assess the behaviors of children in the dimensions of physical activity, diet, and education, and (b) recommend individualized goals for health behavior change. The platform was integrated through a microservice architecture within a multi-component system targeting childhood obesity prevention. The platform was evaluated in an experimental study with 30 children aged 9-12 years in a real-life school setting, showing children's acceptance to use it, and an 80% success rate in achieving weekly personal health goals recommended by the social robot-based platform. The results provide preliminary evidence on the implementation feasibility and potential of the social robot-based platform toward the betterment of children's health behaviors in the context of childhood obesity prevention. Further rigorous longer-term studies are required.
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Affiliation(s)
- Andreas Triantafyllidis
- Information Technologies Institute, Centre for Research and Technology Hellas (CERTH), 57001 Thessaloníki, Greece
| | - Anastasios Alexiadis
- Information Technologies Institute, Centre for Research and Technology Hellas (CERTH), 57001 Thessaloníki, Greece
| | - Dimosthenis Elmas
- Information Technologies Institute, Centre for Research and Technology Hellas (CERTH), 57001 Thessaloníki, Greece
| | - Georgios Gerovasilis
- Information Technologies Institute, Centre for Research and Technology Hellas (CERTH), 57001 Thessaloníki, Greece
| | - Konstantinos Votis
- Information Technologies Institute, Centre for Research and Technology Hellas (CERTH), 57001 Thessaloníki, Greece
| | - Dimitrios Tzovaras
- Information Technologies Institute, Centre for Research and Technology Hellas (CERTH), 57001 Thessaloníki, Greece
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16
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Hubert PA, Fiorenti H, Duffy VB. Feasibility of a Theory-Based, Online Tailored Message Program to Motivate Healthier Behaviors in College Women. Nutrients 2022; 14:nu14194012. [PMID: 36235664 PMCID: PMC9572712 DOI: 10.3390/nu14194012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 09/21/2022] [Accepted: 09/21/2022] [Indexed: 11/16/2022] Open
Abstract
We aimed to test the feasibility of an online survey and tailored message program in young women. Recruited from college campuses, women (n = 189) completed an online survey assessing preference for and behaviors toward diet and physical activity as well as theory-based influencers of these behaviors (knowledge/information, motivation, and confidence). Health messages were tailored to the participant’s survey responses and learning style to address misconceptions and motivate or reinforce healthy physical activity and dietary behaviors. Most women reported the survey as relevant (92%) and useful for reflecting on their health (83%), with survey responses variable in level of nutrition and physical activity knowledge, motivation, and confidence. Each woman received four tailored messages—most reported the messages as relevant (80%) and learning new information (60%). Across all messages, nearly half of the participants (~48%) reported willingness to try or maintain healthier behaviors and confidence in their ability. Body size discrepancy and dietary restraint had small effects message responses of information learned, and the motivation and confidence in trying healthier behaviors. In summary, these data support the feasibility of this online tailored message program. The college women found the tailored message program acceptable and useful to motivate healthier behaviors. The findings provide direction for behaviorally focused interventions to improve dietary and physical activity behaviors.
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17
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Vos AL, de Bruijn GJ, Klein MCA, Lakerveld J, Boerman SC, Smit EG. SNapp, a Tailored Smartphone App Intervention to Promote Walking in Adults of Low Socioeconomic Position: Development and Qualitative Pilot Study (Preprint). JMIR Form Res 2022; 7:e40851. [PMID: 37067890 PMCID: PMC10152336 DOI: 10.2196/40851] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 03/13/2023] [Accepted: 03/14/2023] [Indexed: 03/16/2023] Open
Abstract
BACKGROUND Adults of low socioeconomic position (SEP) are generally less physically active than those who are more socioeconomically advantaged, which increases their cardiovascular disease incidence risk. Moreover, individuals of low SEP are often less easily reached with physical activity (PA) interventions than individuals of higher SEP. Smartphone apps have been presented as a promising platform for delivering PA interventions to difficult-to-reach individuals of low SEP. Although PA apps are widely available, they are rarely based on health behavior theories and most predominantly offer generic PA advice. Consequently, it is unlikely that available apps are the most effective PA intervention tools. OBJECTIVE To respond to these areas for improvement, we developed SNapp, an app-based intervention encouraging adults of low SEP to increase PA by providing tailored coaching messages targeting walking behavior. This study aimed to describe SNapp's stepwise development and pilot evaluation process. METHODS We applied a stepwise approach: analyzing the health problem, developing a program framework, developing tailoring assessments, writing tailored messages, automating the tailoring process, and implementing and evaluating the program in a qualitative pilot study (11 participants). RESULTS SNapp consisted of several elements. First, an app was developed to collect step count and geolocation data using smartphone sensor functionalities. In addition, a survey measure was created to assess users' behavior change technique (BCT) preferences. These 3 data types were used to tailor SNapp's coaching messages to stimulate walking. This allows SNapp to offer feedback on performance levels, contextually tailored prompts when users are near green spaces, and coaching content that aligns with individual BCT preferences. Finally, a server-based Python program that interacts with databases containing user data and tailored messages was built using Microsoft Azure to select and automatically send messages to users through Telegram messenger. Pilot study findings indicated that SNapp was rated positively, with participants reporting that its design, technical functioning, and message content were acceptable. Participants suggested additional functionalities that are worth considering for future updates. CONCLUSIONS SNapp is an app-based intervention that aims to promote walking in adults of low SEP by offering tailored coaching messages. Its development is theory based, and it is among the first to incorporate contextualized feedback and content tailored to individual BCT preferences. The effectiveness of SNapp will be evaluated in a 12-month real-life parallel cluster-randomized controlled trial.
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Affiliation(s)
- Anne L Vos
- Amsterdam School of Communication Research, University of Amsterdam, Amsterdam, Netherlands
| | - Gert-Jan de Bruijn
- Department of Communication Studies, University of Antwerp, Antwerp, Belgium
| | - Michel C A Klein
- Social Artificial Intelligence Group, Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Jeroen Lakerveld
- Epidemiology and Data Science, Amsterdam University Medical Centers, Location Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Sophie C Boerman
- Strategic Communication Group, Wageningen University & Research, Wageningen, Netherlands
| | - Edith G Smit
- Amsterdam School of Communication Research, University of Amsterdam, Amsterdam, Netherlands
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18
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Bergevi J, Andermo S, Woldamanuel Y, Johansson UB, Hagströmer M, Rossen J. User Perceptions of eHealth and mHealth Services Promoting Physical Activity and Healthy Diets: Systematic Review. JMIR Hum Factors 2022; 9:e34278. [PMID: 35763339 PMCID: PMC9277535 DOI: 10.2196/34278] [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: 10/14/2021] [Revised: 03/15/2022] [Accepted: 05/01/2022] [Indexed: 11/16/2022] Open
Abstract
Background Physical activity and a diet that follows general recommendations can help to prevent noncommunicable diseases. However, most adults do not meet current recommended guidelines, and support for behavior change needs to be strengthened. There is growing evidence that shows the benefits of eHealth and mobile health (mHealth) services in promoting healthy habits; however, their long-term effectiveness is uncertain because of nonadherence. Objective We aimed to explore users’ perceptions of acceptability, engagement, and usability of eHealth and mHealth services that promote physical activity, healthy diets, or both in the primary or secondary prevention of noncommunicable diseases. Methods We conducted a systematic review with a narrative synthesis. We performed the literature search in PubMed, PsycINFO, and CINAHL electronic databases in February 2021 and July 2021. The search was limited to papers published in English between 2016 and 2021. Papers on qualitative and mixed method studies that encompassed eHealth and mHealth services for adults with a focus on physical activity, healthy diet, or both in the primary or secondary prevention of noncommunicable diseases were included. Three authors screened the studies independently, and 2 of the authors separately performed thematic analysis of qualitative data. Results With an initial finding of 6308 articles and the removal of 427 duplicates, 23 articles were deemed eligible for inclusion in the review. Based on users’ preferences, an overarching theme—eHealth and mHealth services provide value but need to be tailored to individual needs—and 5 subthemes—interactive and integrated; varying and multifunctional; easy, pedagogic, and attractive; individualized and customizable; and reliable—emerged. Conclusions New evidence on the optimization of digital services that promote physical activity and healthy diets has been synthesized. The findings represent users’ perceptions of acceptability, engagement, and usability of eHealth and mHealth services and show that services should be personalized, dynamic, easily manageable, and reliable. These findings can help improve adherence to digital health-promoting services.
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Affiliation(s)
- Julia Bergevi
- Department of Health Promoting Science, Sophiahemmet University, Stockholm, Sweden
| | - Susanne Andermo
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden.,Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Yohannes Woldamanuel
- Department of Health Promoting Science, Sophiahemmet University, Stockholm, Sweden
| | - Unn-Britt Johansson
- Department of Health Promoting Science, Sophiahemmet University, Stockholm, Sweden.,Department of Clinical Sciences and Education, Karolinska Institutet, Stockholm, Sweden
| | - Maria Hagströmer
- Department of Health Promoting Science, Sophiahemmet University, Stockholm, Sweden.,Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden.,Academic Primary Health Care Center, Stockholm, Sweden
| | - Jenny Rossen
- Department of Health Promoting Science, Sophiahemmet University, Stockholm, Sweden
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19
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Short CE, Crutzen R, Stewart EM, O'Rielly J, Dry M, Skuse A, Quester P, Rebar AL, Vandelanotte C, Duncan MJ, Vincent A. Exploring the Interplay Between Message Format, Need for Cognition and Personal Relevance on Processing Messages About Physical Activity: a Two-Arm Randomized Experimental Trial. Int J Behav Med 2022; 30:320-333. [PMID: 35689014 PMCID: PMC10167115 DOI: 10.1007/s12529-022-10107-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/23/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND According to the Elaboration Likelihood Model, persuasion can occur via two different routes (the central route and peripheral route), with the route utilized dependent on factors associated with motivation and ability. This study aimed to explore the moderating role of need for cognition (NFC) and perceived relevance on the processing of physical activity messages designed to persuade via either the central route or the peripheral route. METHOD Participants (N = 50) were randomized to receive messages optimized for central route processing or messages optimized for peripheral route processing. Eye-tracking devices were used to assess attention, which was the primary outcome. Message perceptions and the extent of persuasion (changes in physical activity determinants) were also assessed via self-report as secondary outcomes. Moderator effects were examined using interaction terms within mixed effects models and linear regression models. RESULTS There were no detected interactions between condition and NFC for any of the study outcomes (all ps > .05). Main effects of personal relevance were observed for some self-report outcomes, with increased relevance associated with better processing outcomes. An interaction between need for cognition and personal relevance was observed for perceived behavioral control (p = 0.002); greater relevance was associated with greater perceived behavioral control for those with a higher need for cognition. CONCLUSION Matching physical activity messages based on NFC may not increase intervention efficacy. Relevance of materials is associated with greater change in physical activity determinants and may be more so among those with a higher NFC.
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Affiliation(s)
- Camille E Short
- Freemasons Foundation Centre for Men's Health, School of Medicine, University of Adelaide, Adelaide, Australia. .,Melbourne School of Psychological Sciences and Melbourne School of Health Sciences, University of Melbourne, Melbourne, VIC, Australia.
| | - Rik Crutzen
- Department of Health Promotion/CAPHRI, Maastricht University, Maastricht, The Netherlands
| | - Emma M Stewart
- Department of Experimental Psychology, Justus Liebig University Giessen, Giessen, Germany
| | - Jessica O'Rielly
- School of Psychology, University of Adelaide, Adelaide, Australia
| | - Mathew Dry
- School of Psychology, University of Adelaide, Adelaide, Australia
| | - Andrew Skuse
- Anthropology and Development Studies, University of Adelaide, Adelaide, Australia
| | - Pascale Quester
- Adelaide Business School, The University of Adelaide, Adelaide, Australia
| | - Amanda L Rebar
- Physical Activity Research Group, Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, Australia
| | - Corneel Vandelanotte
- Physical Activity Research Group, Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, Australia.,School of Medicine & Public Health, Faculty of Health and Medicine, The University of Newcastle, University Drive, Callaghan, NSW, Australia
| | - Mitch J Duncan
- Physical Activity Research Group, Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, Australia.,School of Medicine & Public Health, Faculty of Health and Medicine, The University of Newcastle, University Drive, Callaghan, NSW, Australia.,Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, University Drive, Callaghan, NSW, Australia
| | - Andrew Vincent
- Freemasons Foundation Centre for Men's Health, School of Medicine, University of Adelaide, Adelaide, Australia
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20
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Alley SJ, van Uffelen J, Schoeppe S, Parkinson L, Hunt S, Power D, Waterman N, Waterman C, To QG, Duncan MJ, Schneiders A, Vandelanotte C. The Effectiveness of a Computer-Tailored Web-Based Physical Activity Intervention Using Fitbit Activity Trackers in Older Adults (Active for Life): Randomized Controlled Trial. J Med Internet Res 2022; 24:e31352. [PMID: 35552166 PMCID: PMC9136649 DOI: 10.2196/31352] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 01/14/2022] [Accepted: 02/08/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Physical activity is an integral part of healthy aging; yet, most adults aged ≥65 years are not sufficiently active. Preliminary evidence suggests that web-based interventions with computer-tailored advice and Fitbit activity trackers may be well suited for older adults. OBJECTIVE The aim of this study was to examine the effectiveness of Active for Life, a 12-week web-based physical activity intervention with 6 web-based modules of computer-tailored advice to increase physical activity in older Australians. METHODS Participants were recruited both through the web and offline and were randomly assigned to 1 of 3 trial arms: tailoring+Fitbit, tailoring only, or a wait-list control. The computer-tailored advice was based on either participants' Fitbit data (tailoring+Fitbit participants) or self-reported physical activity (tailoring-only participants). The main outcome was change in wrist-worn accelerometer (ActiGraph GT9X)-measured moderate to vigorous physical activity (MVPA) from baseline to after the intervention (week 12). The secondary outcomes were change in self-reported physical activity measured by means of the Active Australia Survey at the midintervention point (6 weeks), after the intervention (week 12), and at follow-up (week 24). Participants had a face-to-face meeting at baseline for a demonstration of the intervention and at baseline and week 12 to return the accelerometers. Generalized linear mixed model analyses were conducted with a γ distribution and log link to compare MVPA and self-reported physical activity changes over time within each trial arm and between each of the trial arms. RESULTS A total of 243 participants were randomly assigned to tailoring+Fitbit (n=78, 32.1%), tailoring only (n=96, 39.5%), and wait-list control (n=69, 28.4%). Attrition was 28.8% (70/243) at 6 weeks, 31.7% (77/243) at 12 weeks, and 35.4% (86/243) at 24 weeks. No significant overall time by group interaction was observed for MVPA (P=.05). There were no significant within-group changes for MVPA over time in the tailoring+Fitbit group (+3%, 95% CI -24% to 40%) or the tailoring-only group (-4%, 95% CI -24% to 30%); however, a significant decline was seen in the control group (-35%, 95% CI -52% to -11%). The tailoring+Fitbit group participants increased their MVPA 59% (95% CI 6%-138%) more than those in the control group. A significant time by group interaction was observed for self-reported physical activity (P=.02). All groups increased their self-reported physical activity from baseline to week 6, week 12, and week 24, and this increase was greater in the tailoring+Fitbit group than in the control group at 6 weeks (+61%, 95% CI 11%-133%). CONCLUSIONS A computer-tailored physical activity intervention with Fitbit integration resulted in improved MVPA outcomes in comparison with a control group in older adults. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ACTRN12618000646246; https://anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12618000646246.
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Affiliation(s)
- Stephanie J Alley
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, Australia
| | | | - Stephanie Schoeppe
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, Australia
| | - Lynne Parkinson
- School of Medicine & Public Health, College of Health, Medicine, and Wellbeing, The University of Newcastle, Callaghan, Australia
| | - Susan Hunt
- School of Nursing, Midwifery and Social Sciences, Central Queensland University, Melbourne, Australia
| | - Deborah Power
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, Australia
| | - Natasha Waterman
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, Australia
| | - Courtney Waterman
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, Australia
| | - Quyen G To
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, Australia
| | - Mitch J Duncan
- School of Medicine & Public Health, College of Health, Medicine, and Wellbeing, The University of Newcastle, Callaghan, Australia
| | - Anthony Schneiders
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, Australia
| | - Corneel Vandelanotte
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, Australia
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21
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Baumann H, Fiedler J, Wunsch K, Woll A, Wollesen B. mHealth Interventions to Reduce Physical Inactivity and Sedentary Behavior in Children and Adolescents: Systematic Review and Meta-analysis of Randomized Controlled Trials. JMIR Mhealth Uhealth 2022; 10:e35920. [PMID: 35544294 PMCID: PMC9133983 DOI: 10.2196/35920] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 03/15/2022] [Accepted: 03/23/2022] [Indexed: 12/29/2022] Open
Abstract
Background
Children and adolescents increasingly do not meet physical activity (PA) recommendations. Hence, insufficient PA (IPA) and sedentary behavior (SB) among children and adolescents are relevant behavior change domains for using individualized mobile health (mHealth) interventions.
Objective
This review and meta-analysis investigated the effectiveness of mHealth interventions on IPA and SB, with a special focus on the age and level of individualization.
Methods
PubMed, Scopus, Web of Science, SPORTDiscus, and Cochrane Library were searched for randomized controlled trials published between January 2000 and March 2021. mHealth interventions for primary prevention in children and adolescents addressing behavior change related to IPA and SB were included. Included studies were compared for content characteristics and methodological quality and summarized narratively. In addition, a meta-analysis with a subsequent exploratory meta-regression examining the moderating effects of age and individualization on overall effectiveness was performed.
Results
On the basis of the inclusion criteria, 1.3% (11/828) of the preliminary identified studies were included in the qualitative synthesis, and 1.2% (10/828) were included in the meta-analysis. Trials included a total of 1515 participants (mean age (11.69, SD 0.788 years; 65% male and 35% female) self-reported (3/11, 27%) or device-measured (8/11, 73%) health data on the duration of SB and IPA for an average of 9.3 (SD 5.6) weeks. Studies with high levels of individualization significantly decreased insufficient PA levels (Cohen d=0.33; 95% CI 0.08-0.58; Z=2.55; P=.01), whereas those with low levels of individualization (Cohen d=−0.06; 95% CI −0.32 to 0.20; Z=0.48; P=.63) or targeting SB (Cohen d=−0.11; 95% CI −0.01 to 0.23; Z=1.73; P=.08) indicated no overall significant effect. The heterogeneity of the studies was moderate to low, and significant subgroup differences were found between trials with high and low levels of individualization (χ21=4.0; P=.04; I2=75.2%). Age as a moderator variable showed a small effect; however, the results were not significant, which might have been because of being underpowered.
Conclusions
Evidence suggests that mHealth interventions for children and adolescents can foster moderate reductions in IPA but not SB. Moreover, individualized mHealth interventions to reduce IPA seem to be more effective for adolescents than for children. Although, to date, only a few mHealth studies have addressed inactive and sedentary young people, and their quality of evidence is moderate, these findings indicate the relevance of individualization on the one hand and the difficulties in reducing SB using mHealth interventions on the other.
Trial Registration
PROSPERO CRD42020209417; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=209417
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Affiliation(s)
- Hannes Baumann
- Department of Human Movement, Faculty of Psychology and Human Movement Science, University of Hamburg, Hamburg, Germany
- Department of Biological Psychology and Neuroergonomics, Institute for Psychology and Occupational Science, Technical University Berlin, Berlin, Germany
- Department of Performance, Neuroscience, Therapy and Health, Faculty of Health Sciences, Medical School Hamburg, Hamburg, Germany
| | - Janis Fiedler
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Kathrin Wunsch
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Alexander Woll
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Bettina Wollesen
- Department of Human Movement, Faculty of Psychology and Human Movement Science, University of Hamburg, Hamburg, Germany
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22
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Ulrich GR, Nogg KA, Freeman SZ, Ranby KW. Effects of remotely-delivered physical activity education on exercise beliefs and intentions of active and nonactive cancer survivors and their partners. Transl Behav Med 2022; 12:663-672. [DOI: 10.1093/tbm/ibac024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Physical activity (PA) is recommended for cancer survivors and their romantic partners yet cancer couples may be unaware of the benefits of PA specific to them. Exercise interventions targeting survivors and partners simultaneously may prove effective at increasing exercise knowledge, intentions, and outcomes. To examine the effects of a remotely-delivered cancer-specific exercise education video on cancer survivors’ and their partners’ exercise knowledge, beliefs, and intentions. Cancer survivors (N = 209) and their romantic partners (N = 155) completed an online survey with an embedded education video randomized to half the sample. Group differences (education vs. control) on study constructs among the whole sample and on a subset of the sample not meeting exercise guidelines [i.e., less than 150 min of moderate to vigorous physical activity (MVPA) per week; 50.5% survivors, 45.1% partners] were examined. Group differences on study constructs were also tested between survivors and partners meeting exercise guidelines or not. Survivors and partners in the education condition were more likely to correctly report the MVPA guidelines. The education increased survivors’ personal exercise importance, outcome expectations, and likelihood of joining an individual exercise program. Participants meeting guidelines were significantly different on multiple exercise beliefs compared to those who were not. Among those not meeting guidelines, the education increased survivors’ belief in the importance of exercising with their partner. A remotely-delivered exercise education video increased exercise knowledge and beliefs, which represents an important step in the development of couples’ exercise interventions for cancer survivors and their romantic partners.
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Affiliation(s)
- Gillian R Ulrich
- Department of Psychology, University of Colorado Denver, Denver, CO 80217, USA
| | - Kelsey A Nogg
- Department of Psychology, University of Colorado Denver, Denver, CO 80217, USA
| | - Slaton Z Freeman
- Department of Psychology, University of Colorado Denver, Denver, CO 80217, USA
| | - Krista W Ranby
- Department of Psychology, University of Colorado Denver, Denver, CO 80217, USA
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23
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Coumans JM, Bolman CA, Oenema A, Lechner L. The effects of a web-based computer-tailored diet and physical activity intervention based on self-determination theory and motivational interviewing: A randomized controlled trial. Internet Interv 2022; 28:100537. [PMID: 35509808 PMCID: PMC9058957 DOI: 10.1016/j.invent.2022.100537] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 04/05/2022] [Accepted: 04/11/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND According to self-determination theory (SDT), autonomous forms of motivation are more likely to result in sustained behavioral changes than controlled forms. Principles of motivational interviewing (MI) can be applied to facilitate more autonomous forms of motivation. This study investigated whether a combined diet and physical activity (PA) web-based computer-tailored intervention based on SDT and MI, called MyLifestyleCoach, was effective in promoting dietary and PA behaviors. METHODS A two-arm randomized controlled trial with 1142 Dutch adults was conducted. The intervention and control group completed questionnaires at baseline, 6, and 12 months from baseline. Only participants in the intervention condition had access to MyLifestyleCoach. The waiting list control condition had access to the intervention after completing the 12-month follow-up questionnaire. A modified food frequency questionnaire was used to measure dietary behaviors (fruit, vegetables, fish, and unhealthy snacks). The Dutch Short Questionnaire to ASsess Health was used to measure the weekly minutes of moderate-to-vigorous PA (MVPA). Usage data, which is operationalized as completed sessions in this study, was objectively assessed by log data. We conducted two-step linear mixed effect models. In the first step, a model consisting of condition, time, potentially confounding variables and a random intercept for participants was tested. In the second step, an interaction term was added to investigate the intervention's (time × condition) and usage (time × opening session and time × completed sessions) effects over time for the dietary and PA outcomes. RESULTS The findings showed no differences between the groups for all four dietary behaviors and the weekly minutes of MVPA at any of the time points. In-depth analyses showed that participants who followed the opening session of the intervention, in which they received personalized feedback on their behaviors, had a stronger increase in fruit consumption at 6 months and 12 months than participants who did not follow the interventions' opening session. Lastly, participants who followed more sessions in the diet module had a stronger increase in fruit and vegetable consumption at 6 months, and a stronger decrease in the consumption frequency of unhealthy snacks at 12 months post-baseline. CONCLUSION Overall, the intervention was not effective in changing dietary and PA behavior. However, moderation analyses suggest that the intervention is effective in changing dietary behavior for those participants who used the intervention more intensively. Further research should focus on improving intervention use.
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Affiliation(s)
- Juul M.J. Coumans
- Department of Health Psychology, Faculty of Psychology, Open University of the Netherlands, Heerlen, the Netherlands,Corresponding author at: Department of Health Psychology, Faculty of Psychology, Open University of the Netherlands, Valkenburgerweg 177, 6419 AT Heerlen, the Netherlands.
| | - Catherine A.W. Bolman
- Department of Health Psychology, Faculty of Psychology, Open University of the Netherlands, Heerlen, the Netherlands
| | - Anke Oenema
- Department of Health Promotion, Care and Public Health Research Institute (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Lilian Lechner
- Department of Health Psychology, Faculty of Psychology, Open University of the Netherlands, Heerlen, the Netherlands
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24
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Mohamed R, Kelly KM, Nili M, Kelley GA. A systematic review with meta-analysis of parental interventions for human papillomavirus vaccine uptake. J Am Pharm Assoc (2003) 2022; 62:1142-1153. [DOI: 10.1016/j.japh.2022.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 04/08/2022] [Accepted: 04/08/2022] [Indexed: 11/26/2022]
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25
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Schoeppe S, Duncan MJ, Plotnikoff RC, Mummery WK, Rebar A, Alley S, To Q, Short CE, Vandelanotte C. Acceptability, usefulness, and satisfaction with a web-based video-tailored physical activity intervention: The TaylorActive randomized controlled trial. JOURNAL OF SPORT AND HEALTH SCIENCE 2022; 11:133-144. [PMID: 34487910 PMCID: PMC9068745 DOI: 10.1016/j.jshs.2021.09.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Revised: 07/07/2021] [Accepted: 08/03/2021] [Indexed: 06/13/2023]
Abstract
PURPOSE This study aimed to examine the usage, acceptability, usability, perceived usefulness, and satisfaction of a web-based video-tailored physical activity (PA) intervention (TaylorActive) in adults. METHODS In 2013-2014, 501 Australian adults aged 18+ years were randomized into a video-tailored intervention, text-tailored intervention, or control group. Over 3 months, the intervention groups received access to 8 sessions of personally tailored PA advice delivered via the TaylorActive website. Only the delivery method differed between the intervention groups: video-tailored vs. text-tailored. Google Analytics and telephone surveys conducted at post intervention (3 months) were used to assess intervention usage, acceptability, usability, perceived usefulness, and satisfaction. Quantitative and qualitative process data were analyzed using descriptive statistics and thematic content analysis. RESULTS Of 501 recruited adults, 259 completed the 3-month post-intervention survey (52% retention). Overall, usage of the TaylorActive website with respect to number of website visits, intervention sessions, and action plans completed was modest in both the video-tailored (7.6 ± 7.2 visits, mean ± SD) and text-tailored (7.3 ± 5.4 visits) groups with no significant between-group differences. The majority of participants in all groups used the TaylorActive website less than once in 2 weeks (66.7% video-tailored, 62.7% text-tailored, 87.5% control; p < 0.001). Acceptability was rated mostly high in all groups and, in some instances, significantly higher in the intervention groups compared to the control group (p < 0.010). Usability was also rated high; mean Systems Usability Scores were 77.3 (video-tailored), 75.7 (text-tailored), and 74.1 (control) with no significant between-group differences. Perceived usefulness of the TaylorActive intervention was low, though mostly rated higher in the intervention groups compared to the control group (p < 0.010). Satisfaction with the TaylorActive website was mixed. Participants in both intervention groups liked its ease of use, personalized feedback, and tracking of progress, but also found completing action plans and survey questions for each session repetitive and tedious. CONCLUSION Providing personally tailored PA advice on its own (through either video or text) is likely insufficient to ensure good retention, usage, perceived usefulness, and satisfaction with a web-based PA intervention. Strategies to address this may include the incorporation of additional intervention components such as activity trackers, social interactions, gamification, as well as the use of advanced artificial intelligence and machine learning technologies to allow more personalized dialogue with participants.
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Affiliation(s)
- Stephanie Schoeppe
- Central Queensl and University, School of Health, Medical and Applied Sciences, Appleton Institute, Physical Activity Research Group, Rockhampton, QLD 4702, Australia.
| | - Mitch J Duncan
- The University of Newcastle, College of Health, Medicine, and Wellbeing; School of Medicine & Public Health, Newcastle, NSW 2308, Australia; The University of Newcastle, Priority Research Centre for Physical Activity and Nutrition, Newcastle, NSW 2308, Australia
| | - Ronald C Plotnikoff
- The University of Newcastle, Priority Research Centre for Physical Activity and Nutrition, College of Human and Social Futures, Newcastle, NSW 2308, Australia
| | - W Kerry Mummery
- The University of Alberta, Faculty of Kinesiology, Sport and Recreation, Edmonton, AB T6G 2R3, Canada
| | - Amanda Rebar
- Central Queensl and University, School of Health, Medical and Applied Sciences, Appleton Institute, Physical Activity Research Group, Rockhampton, QLD 4702, Australia
| | - Stephanie Alley
- Central Queensl and University, School of Health, Medical and Applied Sciences, Appleton Institute, Physical Activity Research Group, Rockhampton, QLD 4702, Australia
| | - Quyen To
- Central Queensl and University, School of Health, Medical and Applied Sciences, Appleton Institute, Physical Activity Research Group, Rockhampton, QLD 4702, Australia
| | - Camille E Short
- The University of Melbourne, Faculty of Medicine, Dentistry and Health Science, Melbourne School of Psychological Sciences, Melbourne, VIC 3010, Australia
| | - Corneel Vandelanotte
- Central Queensl and University, School of Health, Medical and Applied Sciences, Appleton Institute, Physical Activity Research Group, Rockhampton, QLD 4702, Australia
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26
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Berninger NM, Plasqui G, Crutzen R, Ruiter RAC, Kok G, Ten Hoor GA. The Effects of UPcomplish on Office Workers' Sedentary Behaviour, Quality of Life and Psychosocial Determinants: A Stepped-Wedge Design. Int J Behav Med 2022; 29:728-742. [PMID: 35099779 DOI: 10.1007/s12529-022-10054-0] [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] [Accepted: 01/13/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND Sedentary behaviour (SB) affects cardiometabolic health and quality of life (QoL). We examine the effects of UPcomplish, a 12-week data-driven intervention, on SB, QoL and psychosocial determinants among office workers. METHODS Participants were recruited via judgement sampling. Five groups starting with time-lags of 7 weeks (n = 142, 96 females) received 14 feedback messages (FBMs) which were tailored to SB patterns, goals and hurdles. Participants received questionnaires at the beginning, middle and end of the intervention and wore an accelerometer measuring SB, operationalized as proportions (compositional data approach, CoDA) and summed squared sitting bouts (SSSB). We used linear mixed-effects models with random intercepts for weeks (between-subjects) and individuals (within-subjects). RESULTS UPcomplish did not reduce SB. Within-subjects compared to baseline, FBM #3 (βCoDA = 0.24, p < .001, 95% CI [0.15, 0.33]; βSSSB = 20.83, p < .001, 95% CI [13.90, 27.28]) and #4 (βCoDA = 0.20, p < .001, 95% CI [0.11, 0.29]; βSSSB = 24.80, p < .001, 95% CI [15.84, 33.76]) increased SB. QoL was unaffected. Perceived susceptibility was lower after FBMs #6 to #8 (βbetween = - 0.66, p = .04, 95% CI [- 1.03, - 0.30]; βwithin = - 0.75, p = .02, 95% CI [- 1.18, - 0.32]). Within-subjects, intentions to sit less were higher after FBMs #1 to #5 (1.14, p = .02, 95% CI [0.61, 1.66]). Improvements in determinants and in SB were not associated, nor were improvements in SB and in QoL. CONCLUSIONS Compared to VitaBit only, UPcomplish was not beneficial. Environmental restructuring might be superior, but detailed analyses of moderators of effectiveness are needed.
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Affiliation(s)
- Nathalie M Berninger
- Department of Work and Social Psychology, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
| | - Guy Plasqui
- Department of Human Biology and Movement Sciences, Nutrition and Translational Research in Metabolism, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
| | - Rik Crutzen
- Department of Health Promotion, CAPHRI, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
| | - Robert A C Ruiter
- Department of Work and Social Psychology, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
| | - Gerjo Kok
- Department of Work and Social Psychology, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
| | - Gill A Ten Hoor
- Department of Work and Social Psychology, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
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27
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Brame J, Kohl J, Wurst R, Fuchs R, Tinsel I, Maiwald P, Fichtner U, Armbruster C, Bischoff M, Farin-Glattacker E, Lindinger P, Bredenkamp R, Gollhofer A, König D. Health Effects of a 12-Week Web-Based Lifestyle Intervention for Physically Inactive and Overweight or Obese Adults: Study Protocol of Two Randomized Controlled Clinical Trials. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19031393. [PMID: 35162416 PMCID: PMC8835149 DOI: 10.3390/ijerph19031393] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 01/21/2022] [Accepted: 01/23/2022] [Indexed: 02/01/2023]
Abstract
Web-based lifestyle interventions have attracted considerable research interest. Available evidence on such interventions suggests health-promoting effects, but further research is needed. Therefore, this study aims to investigate short-, medium-, and long-term health effects of a web-based health program ("TK-HealthCoach", TK-HC) offered by a national statutory health insurance fund (Techniker Krankenkasse, TK). The study comprises two randomized controlled clinical trials to evaluate the health goals "Increasing Fitness" (Fclin) and "Losing and Maintaining Weight" (Wclin). A total of n = 186 physically inactive (Fclin) and n = 150 overweight or obese (Wclin) adults will be randomly assigned to a 12-week interactive (TK-HC) or non-interactive web-based health program using permuted block randomization with a 1:1 allocation ratio. Primary outcomes include cardiorespiratory fitness (Fclin) and body weight (Wclin). Secondary outcomes comprise musculoskeletal fitness (Fclin), physical activity and dietary behavior, anthropometry, blood pressure, blood levels, and vascular health (Fclin, Wclin). All outcomes will be measured before and after the 12-week intervention and after a 6- and 12-month follow-up. Additionally, usage behavior data on the health programs will be assessed. Linear mixed models (LMMs) will be used for statistical analysis. Findings of this study will expand the available evidence on web-based lifestyle interventions.
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Affiliation(s)
- Judith Brame
- Department of Sport and Sport Science (DoSS), University of Freiburg, 79117 Freiburg, Germany; (J.K.); (R.W.); (R.F.); (A.G.); (D.K.)
- Correspondence: ; Tel.: +49-761-203-54086
| | - Jan Kohl
- Department of Sport and Sport Science (DoSS), University of Freiburg, 79117 Freiburg, Germany; (J.K.); (R.W.); (R.F.); (A.G.); (D.K.)
| | - Ramona Wurst
- Department of Sport and Sport Science (DoSS), University of Freiburg, 79117 Freiburg, Germany; (J.K.); (R.W.); (R.F.); (A.G.); (D.K.)
| | - Reinhard Fuchs
- Department of Sport and Sport Science (DoSS), University of Freiburg, 79117 Freiburg, Germany; (J.K.); (R.W.); (R.F.); (A.G.); (D.K.)
| | - Iris Tinsel
- Section of Health Care Research and Rehabilitation Research (SEVERA), Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (I.T.); (P.M.); (U.F.); (C.A.); (M.B.); (E.F.-G.)
| | - Phillip Maiwald
- Section of Health Care Research and Rehabilitation Research (SEVERA), Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (I.T.); (P.M.); (U.F.); (C.A.); (M.B.); (E.F.-G.)
| | - Urs Fichtner
- Section of Health Care Research and Rehabilitation Research (SEVERA), Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (I.T.); (P.M.); (U.F.); (C.A.); (M.B.); (E.F.-G.)
| | - Christoph Armbruster
- Section of Health Care Research and Rehabilitation Research (SEVERA), Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (I.T.); (P.M.); (U.F.); (C.A.); (M.B.); (E.F.-G.)
| | - Martina Bischoff
- Section of Health Care Research and Rehabilitation Research (SEVERA), Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (I.T.); (P.M.); (U.F.); (C.A.); (M.B.); (E.F.-G.)
| | - Erik Farin-Glattacker
- Section of Health Care Research and Rehabilitation Research (SEVERA), Medical Center—University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; (I.T.); (P.M.); (U.F.); (C.A.); (M.B.); (E.F.-G.)
| | - Peter Lindinger
- Scientific Working Group in Smoking Cessation (WAT) e.V., Department of Psychiatry and Psychotherapy, University Hospital Tübingen, 72076 Tübingen, Germany;
| | - Rainer Bredenkamp
- Clinical Trials Unit UMG, University Medical Center Göttingen, 37075 Göttingen, Germany;
| | - Albert Gollhofer
- Department of Sport and Sport Science (DoSS), University of Freiburg, 79117 Freiburg, Germany; (J.K.); (R.W.); (R.F.); (A.G.); (D.K.)
| | - Daniel König
- Department of Sport and Sport Science (DoSS), University of Freiburg, 79117 Freiburg, Germany; (J.K.); (R.W.); (R.F.); (A.G.); (D.K.)
- Department of Sport Science, Institute for Nutrition, Sports and Health, University of Vienna, 1150 Vienna, Austria
- Department of Nutritional Sciences, Institute for Nutrition, Sports and Health, University of Vienna, 1090 Vienna, Austria
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28
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Bianchi CM, Mariotti F, Reulet E, Le Goff G, Lluch A, Verger EO, Huneau JF, Gurviez P. Perceptions of Tailored Dietary Advice to Improve the Nutrient Adequacy of the Diet in French Pregnant Women. Nutrients 2021; 14:nu14010085. [PMID: 35010960 PMCID: PMC8747067 DOI: 10.3390/nu14010085] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 12/19/2021] [Accepted: 12/22/2021] [Indexed: 11/28/2022] Open
Abstract
Tailored dietary counseling could be specifically efficient during pregnancy, a period accompanied by a rise in nutrition awareness, but little is known about the expectations of pregnant women in this regard. We studied these expectations regarding tailored dietary advice in French women during their pregnancy, as well as their motivations and the perceived barriers and enablers. In French pregnant women, we evaluated the perceptions of tailored dietary advice provided by stepwise dietary counseling based on three types of dietary changes, consisting of: (1) a modification of the amounts consumed, (2) substitutions within the food subgroups, and (3) substitutions between food subgroups. A sequential explanatory mixed-method approach was designed. Using qualitative data from a focus group study (n = 40), we intended to explore in depth the women’s expectations regarding dietary advice and adherence to a tailored approach. These were combined with quantitative and qualitative data from a 6-week online longitudinal study (n = 115), using questionnaires designed to assess the modifications of dietary habits during pregnancy and to evaluate each type of dietary change. Both studies confirmed that most women in our samples did indeed intend to institute changes regarding healthier dietary practices during pregnancy. The principal motivation behind changes to their habits was to ensure the health and well-being of both their babies and themselves. The proposal of dietary advice that is tailored to both the current diet and the specific needs of pregnant women, but that is also positive and credible, was perceived as enabling implementing healthier dietary practices during pregnancy. Regarding the implementation of the dietary changes proposed, the enablers and barriers identified differed between modifications of the amounts consumed and substitutions. The women displayed interest in all types of dietary changes. This gave relevance to combining different types of changes in order to propose dietary counseling during pregnancy. Tailored dietary counseling was identified by French pregnant women in our samples as enabling them to adopt a healthier diet. However, perceived barriers might limit the implementation of dietary changes, especially when they involved marked modifications to their usual diet.
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Affiliation(s)
- Clélia M. Bianchi
- AgroParisTech, INRAE, UMR PNCA, Université Paris-Saclay, 75005 Paris, France; (C.M.B.); (E.R.); (J.-F.H.)
| | - François Mariotti
- AgroParisTech, INRAE, UMR PNCA, Université Paris-Saclay, 75005 Paris, France; (C.M.B.); (E.R.); (J.-F.H.)
- Correspondence:
| | - Elodie Reulet
- AgroParisTech, INRAE, UMR PNCA, Université Paris-Saclay, 75005 Paris, France; (C.M.B.); (E.R.); (J.-F.H.)
| | - Gaëlle Le Goff
- AgroParisTech, INRAE, UMR SayFood, Université Paris-Saclay, 91700 Massy, France; (G.L.G.); (P.G.)
| | - Anne Lluch
- Alimentation Science Department, Danone Nutricia Research, Centre Daniel Carasso, RD 128, 91737 Palaiseau, France;
| | - Eric O. Verger
- MoISA, University Montpellier, CIRAD, CIHEAM-IAMM, INRAE, Institut Agro, IRD, 34394 Montpellier, France;
| | - Jean-François Huneau
- AgroParisTech, INRAE, UMR PNCA, Université Paris-Saclay, 75005 Paris, France; (C.M.B.); (E.R.); (J.-F.H.)
| | - Patricia Gurviez
- AgroParisTech, INRAE, UMR SayFood, Université Paris-Saclay, 91700 Massy, France; (G.L.G.); (P.G.)
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29
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Goulding EH, Dopke CA, Michaels T, Martin CR, Khiani MA, Garborg C, Karr C, Begale M. A Smartphone-Based Self-management Intervention for Individuals With Bipolar Disorder (LiveWell): Protocol Development for an Expert System to Provide Adaptive User Feedback. JMIR Form Res 2021; 5:e32932. [PMID: 34951598 PMCID: PMC8742209 DOI: 10.2196/32932] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 10/23/2021] [Accepted: 10/28/2021] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Bipolar disorder is a severe mental illness that results in significant morbidity and mortality. While pharmacotherapy is the primary treatment, adjunctive psychotherapy can improve outcomes. However, access to therapy is limited. Smartphones and other technologies can increase access to therapeutic strategies that enhance self-management while simultaneously augmenting care by providing adaptive delivery of content to users as well as alerts to providers to facilitate clinical care communication. Unfortunately, while adaptive interventions are being developed and tested to improve care, information describing the components of adaptive interventions is often not published in sufficient detail to facilitate replication and improvement of these interventions. OBJECTIVE To contribute to and support the improvement and dissemination of technology-based mental health interventions, we provide a detailed description of the expert system for adaptively delivering content and facilitating clinical care communication for LiveWell, a smartphone-based self-management intervention for individuals with bipolar disorder. METHODS Information from empirically supported psychotherapies for bipolar disorder, health psychology behavior change theories, and chronic disease self-management models was combined with user-centered design data and psychiatrist feedback to guide the development of the expert system. RESULTS Decision points determining the timing of intervention option adaptation were selected to occur daily and weekly based on self-report data for medication adherence, sleep duration, routine, and wellness levels. These data were selected for use as the tailoring variables determining which intervention options to deliver when and to whom. Decision rules linking delivery of options and tailoring variable thresholds were developed based on existing literature regarding bipolar disorder clinical status and psychiatrist feedback. To address the need for treatment adaptation with varying clinical statuses, decision rules for a clinical status state machine were developed using self-reported wellness rating data. Clinical status from this state machine was incorporated into hierarchal decision tables that select content for delivery to users and alerts to providers. The majority of the adaptive content addresses sleep duration, medication adherence, managing signs and symptoms, building and utilizing support, and keeping a regular routine, as well as determinants underlying engagement in these target behaviors as follows: attitudes and perceptions, knowledge, support, evaluation, and planning. However, when problems with early warning signs, symptoms, and transitions to more acute clinical states are detected, the decision rules shift the adaptive content to focus on managing signs and symptoms, and engaging with psychiatric providers. CONCLUSIONS Adaptive mental health technologies have the potential to enhance the self-management of mental health disorders. The need for individuals with bipolar disorder to engage in the management of multiple target behaviors and to address changes in clinical status highlights the importance of detailed reporting of adaptive intervention components to allow replication and improvement of adaptive mental health technologies for complex mental health problems.
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Affiliation(s)
- Evan H Goulding
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Cynthia A Dopke
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Tania Michaels
- Deparment of Pediatrics, Loma Linda Children's Hospital, Loma Linda, CA, United States
| | - Clair R Martin
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | | | - Christopher Garborg
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Chris Karr
- Audacious Software, Chicago, IL, United States
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30
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Kracht CL, Hutchesson M, Ahmed M, Müller AM, Ashton LM, Brown HM, DeSmet A, Maher CA, Mauch CE, Vandelanotte C, Yin Z, Whatnall M, Short CE, Staiano AE. E-&mHealth interventions targeting nutrition, physical activity, sedentary behavior, and/or obesity among children: A scoping review of systematic reviews and meta-analyses. Obes Rev 2021; 22:e13331. [PMID: 34476890 PMCID: PMC8865754 DOI: 10.1111/obr.13331] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 07/02/2021] [Accepted: 07/21/2021] [Indexed: 12/16/2022]
Abstract
Childhood obesity is a public health concern. Electronic and mobile health (e-&mHealth) approaches can facilitate the delivery of interventions for obesity prevention and treatment. Synthesizing reviews of e-&mHealth interventions to improve weight and weight-related behaviors (physical activity, sedentary behavior, and diet) is useful to characterize the current scope of the literature and identify opportunities for future reviews and studies. Using a scoping review methodology, we aimed to evaluate the breadth and methodological quality of systematic reviews and meta-analyses of e-&mHealth interventions targeting weight and weight-related behaviors in children and adolescents aged <19 years. A systematic search of seven databases was conducted, including reviews published between 2000 and 2019. Review characteristics were extracted, and methodological quality was assessed using the AMSTAR 2 tool. Forty-five systematic reviews and meta-analyses were included. All reviews evaluated intervention efficacy (100%), but few assessed other aspects (20% in total) such as cost-effectiveness. Smartphone applications (47%), text messages (44%), and websites (35%) were the main modalities. Weight (60%), physical activity (51%), and diet (44%) were frequently assessed, unlike sedentary behavior (8%). Most reviews were rated as having critically low or low methodological quality (97%). Reviews that identify the effective active ingredients of interventions and explore metrics beyond efficacy are recommended.
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Affiliation(s)
- Chelsea L Kracht
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Melinda Hutchesson
- School of Health Sciences, Faculty of Health and Medicine, Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, Australia
| | - Mavra Ahmed
- Department of Nutritional Sciences, Temerty Faculty of Medicine, Joannah and Brian Lawson Centre for Child Nutrition, University of Toronto, Toronto, Canada
| | - Andre Matthias Müller
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Lee M Ashton
- School of Health Sciences, Faculty of Health and Medicine, Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, Australia.,School of Education, Faculty of Education and Arts, Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, Australia
| | - Hannah M Brown
- Hunter New England Population Health, Newcastle, Australia.,Everymind, Newcastle, Australia
| | - Ann DeSmet
- Faculty of Psychology and Educational Sciences, Université Libre de Bruxelles, Brussels, Belgium.,Department of Communication Studies, University of Antwerp, Antwerp, Belgium
| | - Carol A Maher
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia
| | - Chelsea E Mauch
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, Australia.,Nutrition and Health Program, Health & Biosecurity Business Unit, CSIRO, Adelaide, Australia
| | - Corneel Vandelanotte
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, Australia
| | - Zenong Yin
- Department of Public Health, University of Texas at San Antonio, San Antonio, Texas, USA
| | - Megan Whatnall
- School of Health Sciences, Faculty of Health and Medicine, Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, Australia
| | - Camille E Short
- Melbourne School of Psychological Sciences and Melbourne School of Health Sciences, University of Melbourne, Parkville, Australia
| | - Amanda E Staiano
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
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31
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Hutchesson MJ, Gough C, Müller AM, Short CE, Whatnall MC, Ahmed M, Pearson N, Yin Z, Ashton LM, Maher C, Staiano AE, Mauch CE, DeSmet A, Vandelanotte C. eHealth interventions targeting nutrition, physical activity, sedentary behavior, or obesity in adults: A scoping review of systematic reviews. Obes Rev 2021; 22:e13295. [PMID: 34159684 DOI: 10.1111/obr.13295] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 04/28/2021] [Accepted: 05/05/2021] [Indexed: 12/11/2022]
Abstract
A vast body of evidence regarding eHealth interventions for nutrition, physical activity, sedentary behavior, and obesity exists. This scoping review of systematic reviews aimed to evaluate the current level of evidence in this growing field. Seven electronic databases were searched for systematic reviews published until October 27, 2019. The systematic reviews must have included adult participants only and have evaluated eHealth behavioral interventions with the primary aim of changing nutrition, physical activity, and sedentary behavior or treating or preventing overweight and obesity. One hundred and six systematic reviews, published from 2006 to 2019, were included. Almost all (n = 98) reviews evaluated the efficacy of interventions. Over half (n = 61) included interventions focused on physical activity, followed by treatment of obesity (n = 28), nutrition (n = 22), prevention of obesity (n = 18), and sedentary behavior (n = 6). Many reviews (n = 46) evaluated one type of eHealth intervention only, while 60 included two or more types. Most reviews (n = 67) were rated as being of critically low methodological quality. This scoping review identified an increasing volume of systematic reviews evaluating eHealth interventions. It highlights several evidence gaps (e.g., evaluation of other outcomes, such as reach, engagement, or cost effectiveness), guiding future research efforts in this area.
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Affiliation(s)
- Melinda J Hutchesson
- School of Health Sciences, College of Health, Medicine and Wellbeing, and Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, New South Wales, Australia
| | - Claire Gough
- Flinders Digital Health Research Centre, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia.,Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia
| | | | - Camille E Short
- Melbourne School of Psychological Sciences and Melbourne School of Health Sciences, Faculty of Dentistry, Medicine and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Megan C Whatnall
- School of Health Sciences, College of Health, Medicine and Wellbeing, and Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, New South Wales, Australia
| | - Mavra Ahmed
- Department of Nutritional Sciences and Joannah and Brian Lawson Centre for Child Nutrition, University of Toronto, Toronto, Ontario, Canada
| | - Nicole Pearson
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia
| | - Zenong Yin
- UT Health San Antonio Graduate School of Biomedical Sciences, University of Texas, San Antonio, Texas, USA
| | - Lee M Ashton
- School of Health Sciences, College of Health, Medicine and Wellbeing, and Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan, New South Wales, Australia
| | - Carol Maher
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
| | - Amanda E Staiano
- Population and Public Health, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Chelsea E Mauch
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia.,Nutrition and Health Program, Health & Biosecurity Business Unit, CSIRO, Canberra, ACT, Australia
| | - Ann DeSmet
- Faculty of Psychology and Educational Sciences, Université Libre de Bruxelles, Brussels, Belgium.,Department of Communication Studies, University of Antwerp, Antwerp, Belgium
| | - Corneel Vandelanotte
- Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, Queensland, Australia
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32
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Tong HL, Quiroz JC, Kocaballi AB, Fat SCM, Dao KP, Gehringer H, Chow CK, Laranjo L. Personalized mobile technologies for lifestyle behavior change: A systematic review, meta-analysis, and meta-regression. Prev Med 2021; 148:106532. [PMID: 33774008 DOI: 10.1016/j.ypmed.2021.106532] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 02/07/2021] [Accepted: 03/21/2021] [Indexed: 11/25/2022]
Abstract
Given that the one-size-fits-all approach to mobile health interventions have limited effects, a personalized approach might be necessary to promote healthy behaviors and prevent chronic conditions. Our systematic review aims to evaluate the effectiveness of personalized mobile interventions on lifestyle behaviors (i.e., physical activity, diet, smoking and alcohol consumption), and identify the effective key features of such interventions. We included any experimental trials that tested a personalized mobile app or fitness tracker and reported any lifestyle behavior measures. We conducted a narrative synthesis for all studies, and a meta-analysis of randomized controlled trials. Thirty-nine articles describing 31 interventions were included (n = 77,243, 64% women). All interventions personalized content and rarely personalized other features. Source of data included system-captured (12 interventions), user-reported (11 interventions) or both (8 interventions). The meta-analysis showed a moderate positive effect on lifestyle behavior outcomes (standardized difference in means [SDM] 0.663, 95% CI 0.228 to 1.10). A meta-regression model including source of data found that interventions that used system-captured data for personalization were associated with higher effectiveness than those that used user-reported data (SDM 1.48, 95% CI 0.76 to 2.19). In summary, the field is in its infancy, with preliminary evidence of the potential efficacy of personalization in improving lifestyle behaviors. Source of data for personalization might be important in determining intervention effectiveness. To fully exploit the potential of personalization, future high-quality studies should investigate the integration of multiple data from different sources and include personalized features other than content.
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Affiliation(s)
- Huong Ly Tong
- Westmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
| | - Juan C Quiroz
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia; Centre for Big Data Research in Health, University of New South Wales, Sydney, Australia
| | - A Baki Kocaballi
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia; School of Computer Science, University of Technology Sydney, Sydney, Australia
| | | | | | - Holly Gehringer
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | - Clara K Chow
- Westmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Liliana Laranjo
- Westmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia; Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
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33
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Schoufour JD, Tieland M, Barazzoni R, Ben Allouch S, van der Bie J, Boirie Y, Cruz-Jentoft AJ, Eglseer D, Topinková E, Visser B, Voortman T, Tsagari A, Weijs PJM. The Relevance of Diet, Physical Activity, Exercise, and Persuasive Technology in the Prevention and Treatment of Sarcopenic Obesity in Older Adults. Front Nutr 2021; 8:661449. [PMID: 34109204 PMCID: PMC8180560 DOI: 10.3389/fnut.2021.661449] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Accepted: 04/12/2021] [Indexed: 12/13/2022] Open
Abstract
The aging population faces two conditions that threaten healthy aging: high fat mass (obesity) and low muscle mass and function (sarcopenia). The combination of both-referred to as sarcopenic obesity-synergistically increases the risk of adverse health outcomes. The two conditions often co-occur because they reinforce each other and share common etiologies, including poor nutrition and inactivity. All aging people are at risk of gaining weight and losing muscle mass and could benefit from improvements in physical activity, exercise and dietary intake. one specific window of opportunity is during the transient time of retirement, as older adults already need to restructure their daily activities. It is key to change lifestyle behavior in a sustainable manner, providing scientifically proven, personalized, and acceptable principles that can be integrated in daily life. Health technologies (e.g., applications) can provide promising tools to deliver personalized and appealing lifestyle interventions to a large group of people while keeping health care costs low. Several studies show that health technologies have a strong positive effect on physical activity, exercise and dietary intake. Specifically, health technology is increasingly applied to older people, although strong evidence for long term effects in changing lifestyle behavior is generally lacking. Concluding, technology could play an important role in the highly warranted prevention of sarcopenic obesity in older adults. Although health technology seems to be a promising tool to stimulate changes in physical activity, exercise and dietary intake, studies on long lasting effects and specifically targeted on older people around the time of retirement are warranted.
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Affiliation(s)
- Josje D Schoufour
- Faculty of Sports and Nutrition, Centre of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Amsterdam, Netherlands
| | - Michael Tieland
- Faculty of Sports and Nutrition, Centre of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Amsterdam, Netherlands
| | - Rocco Barazzoni
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
| | - Somaya Ben Allouch
- Digital Life Research Group, Faculty of Digital Media and Creative Industry, Amsterdam University of Applied Sciences, Amsterdam, Netherlands
| | - Joey van der Bie
- Digital Life Research Group, Faculty of Digital Media and Creative Industry, Amsterdam University of Applied Sciences, Amsterdam, Netherlands
| | - Yves Boirie
- University Clermont Auvergne, Human Nutrition Unit, INRA, CRNH Auvergne, CHU Clermont-Ferrand, Clinical Nutrition Department, Clermont-Ferrand, France
| | | | - Doris Eglseer
- Department of Nursing Science, Medical University Graz, Graz, Austria
| | - Eva Topinková
- First Faculty of Medicine, Department of Geriatrics, Charles University, Prague, Czechia.,Faculty of Health and Social Sciences, University of South Bohemia, Ceske Budejovice, Czechia
| | - Bart Visser
- Faculty of Health, Center of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Amsterdam, Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Amalia Tsagari
- Department of Clinical Nutrition, KAT General Hospital, Athens, Greece
| | - Peter J M Weijs
- Faculty of Sports and Nutrition, Centre of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Amsterdam, Netherlands.,Department of Nutrition and Dietetics, Amsterdam University Medical Centers, Amsterdam Public Health Institute, VU University, Amsterdam, Netherlands
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34
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Knowledge, Attitudes and Behaviours Related to Physician-Delivered Dietary Advice for Patients with Hypertension. J Community Health 2021; 45:1067-1072. [PMID: 32415518 DOI: 10.1007/s10900-020-00831-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Dietary modifications are key health behaviour recommendations for the prevention and management of hypertension, a leading contributor of global disease burden. Despite this, few primary care physicians discuss nutrition with their patients. This study describes the barriers and facilitators to the provision of dietary advice for hypertension prevention and management among Canadian physicians. A validated 62-item cross-sectional survey was distributed online to 103 Canadian primary care physicians between 2017 and 2019. Eighty participants were included in the analyses. The majority of participants were based in Ontario (68.7%) and saw 10-24 patients per week (53.5%). Fewer than half (47.5%) of participants were knowledgeable about the recommended sodium level by Hypertension Canada (< 2000 mg/day) and 38.8% felt it was difficult to know which foods are high or low in sodium. Approximately one quarter felt the findings about sodium and hypertension and cardiovascular disease are controversial. Other significant barriers were: not enough time to talk to patients about diet (76.3%), belief that patients are not truthful about their diet (76.3%), patients would not follow their advice (46.8%), and that it was difficult to keep up with so many guidelines (50.0%). Many identified that electronic medical record tools (80.8%), access to dietitians (84.9%), or more nutrition education in medical training (65.8%) would help facilitate advice. Given the importance of diet and the central role of physicians in motivating dietary change among patients, approaches are required to address identified barriers and facilitators to providing dietary advice to reduce the burden of hypertension.
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35
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van Keulen HM, van Breukelen G, de Vries H, Brug J, Mesters I. A randomized controlled trial comparing community lifestyle interventions to improve adherence to diet and physical activity recommendations: the VitalUM study. Eur J Epidemiol 2021; 36:345-360. [PMID: 33377998 PMCID: PMC8032577 DOI: 10.1007/s10654-020-00708-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 12/08/2020] [Indexed: 11/27/2022]
Abstract
Worldwide, adherence to national guidelines for physical activity (PA), and fruit and vegetable consumption is recommended to promote health and reduce the risk for (chronic) disease. This study reports on the effectiveness of various social-cognitive interventions to improve adherence to guidelines and the revealed adherence predictors. Participants (n = 1,629), aged 45-70 years, randomly selected and recruited in 2005-2006 from 23 Dutch general practices, were randomized (centralized stratified allocation) to four groups to receive a 12-month lifestyle intervention targeting guideline adherence for PA and fruit and vegetable consumption. Study groups received either four computer-tailored print communication (TPC) letters (n = 405), four telephone motivational interviewing (TMI) sessions (n = 407), a combined intervention (two TPC letters and two TMI sessions, n = 408), or no intervention (control group, n = 409). After the baseline assessment, all parties were aware of the treatment groups. Outcomes were measured with self-report postal questionnaires at baseline, 25, 47 and 73 weeks. For PA, all three interventions were associated with better guideline adherence than no intervention. Odds ratios for TPC, TMI and the combined intervention were 1.82 (95% CI 1.31; 2.54), 1.57 (95% CI 1.13; 2.18), and 2.08 (95% CI 1.50; 2.88), respectively. No pedometer effects were found. For fruit and vegetable consumption, TPC seemed superior to those in the other groups. Odd ratio for fruit and vegetable consumption were 1.78 (95% CI 1.32; 2.41) and 1.73 (95% CI 1.28; 2.33), respectively. For each behaviour, adherence was predicted by self-efficacy expectations, habit strength and stages of change, whereas sex, awareness and the number of action plans predicted guideline adherence for fruit and vegetable intake. The season predicted the guideline adherence for PA and fruit consumption. The odds ratios revealed were equivalent to modest effects sizes, although they were larger than those reported in systematic reviews. This study indicated that less resource intensive interventions might have the potential for a large public health impact when widely implemented. The strengths of this study were the participation of lower educated adults and evaluation of maintenance effects. (Trial NL1035, 2007-09-06).
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Affiliation(s)
- Hilde Marijke van Keulen
- Department of Health Promotion, Maastricht University, Maastricht, The Netherlands
- CAPHRI Care and Public Health Research Institute, PO Box 616, 6200 MD, Maastricht, The Netherlands
- Department of Child Health, Now Employed by TNO, PO Box 3005, 2301 DA, Leiden, The Netherlands
| | - Gerard van Breukelen
- Department of Methodology and Statistics, Maastricht University, Maastricht, The Netherlands
- CAPHRI Care and Public Health Research Institute, PO Box 616, 6200 MD, Maastricht, The Netherlands
| | - Hein de Vries
- Department of Health Promotion, Maastricht University, Maastricht, The Netherlands
- CAPHRI Care and Public Health Research Institute, PO Box 616, 6200 MD, Maastricht, The Netherlands
| | - Johannes Brug
- Department of Epidemiology and Biostatistics, National Institute for Public Health and the Environment (RIVM), Utrecht RIVM and VU Medical Center, Amsterdam, The Netherlands
| | - Ilse Mesters
- Department of Epidemiology, Maastricht University, Maastricht, The Netherlands.
- CAPHRI Care and Public Health Research Institute, PO Box 616, 6200 MD, Maastricht, The Netherlands.
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To QG, Duncan MJ, Short CE, Plotnikoff RC, Kerry Mummery W, Alley S, Schoeppe S, Rebar A, Vandelanotte C. Examining moderators of the effectiveness of a web- and video-based computer-tailored physical activity intervention. Prev Med Rep 2021; 22:101336. [PMID: 33732607 PMCID: PMC7937773 DOI: 10.1016/j.pmedr.2021.101336] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Revised: 12/02/2020] [Accepted: 01/23/2021] [Indexed: 12/23/2022] Open
Abstract
Understanding for whom behaviour change interventions work is important, however there is a lack of studies examining potential moderators in such interventions. This study investigated potential moderators on the effectiveness of a computer-tailored intervention to increase physical activity among Australian adults. People who had <150 min of moderate-vigorous physical activity (MVPA) a week, able to speak and read English, aged ≥18 years, lived in Australia, and had internet access were eligible to participate. Participants recruited through social media, emails, and third-party databases, were randomly assigned to either the control (n = 167) or intervention groups (n = 334). Physical activity was measured objectively by ActiGraph GT3X and also by self-report at baseline and three months. Three-way interaction terms were tested to identify moderators (i.e., demographic characteristics, BMI, and perceived neighbourhood walkability). The results showed that the three-way interaction was marginally significant for sex on accelerometer measured MVPA/week (p = 0.061) and steps/day (p = 0.047). The intervention appeared to be more effective for women compared to men. No significant three-way interactions were found for the other potential moderators. Strategies to improve levels of personalisation may be needed so that physical activity interventions can be better tailored to different subgroups, especially sex, and therefore improve intervention effectiveness.
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Affiliation(s)
- Quyen G To
- Central Queensland University, School of Health, Medical and Applied Sciences, Appleton Institute, Physical Activity Research Group, Rockhampton, Australia
| | - Mitch J Duncan
- The University of Newcastle, School of Medicine and Public Health, Priority Research Centre for Physical Activity and Nutrition, Newcastle, Australia
| | - Camille E Short
- The University of Melbourne, Faculty of Medicine, Dentistry and Health Science, Melbourne School of Psychological Sciences and Melbourne School of Health Sciences, Parkville, Australia
| | - Ronald C Plotnikoff
- The University of Newcastle, School of Medicine and Public Health, Priority Research Centre for Physical Activity and Nutrition, Newcastle, Australia
| | - W Kerry Mummery
- The University of Alberta, Faculty of Kinesiology, Sport and Recreation, Edmonton, Alberta, Canada
| | - Stephanie Alley
- Central Queensland University, School of Health, Medical and Applied Sciences, Appleton Institute, Physical Activity Research Group, Rockhampton, Australia
| | - Stephanie Schoeppe
- Central Queensland University, School of Health, Medical and Applied Sciences, Appleton Institute, Physical Activity Research Group, Rockhampton, Australia
| | - Amanda Rebar
- Central Queensland University, School of Health, Medical and Applied Sciences, Appleton Institute, Physical Activity Research Group, Rockhampton, Australia
| | - Corneel Vandelanotte
- Central Queensland University, School of Health, Medical and Applied Sciences, Appleton Institute, Physical Activity Research Group, Rockhampton, Australia
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Chau S, Oldman S, Smith SR, Lin CA, Ali S, Duffy VB. Online Behavioral Screener with Tailored Obesity Prevention Messages: Application to a Pediatric Clinical Setting. Nutrients 2021; 13:223. [PMID: 33466705 PMCID: PMC7828782 DOI: 10.3390/nu13010223] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 01/05/2021] [Accepted: 01/12/2021] [Indexed: 12/18/2022] Open
Abstract
Obesity prevention involves promoting healthy eating and physical activity across all children. Can we leverage technology to feasibly survey children's health behaviors and deliver theory-based and user-tailored messages for brief clinical encounters? We assessed the acceptability and utility of an online pediatric-adapted liking survey (PALS) and tailored messages among children receiving non-urgent care in a pediatric emergency department (PED). Two hundred and forty-five children (average age = 10 years, racially/ethnically diverse, 34% overweight/obese from measured indices, 25% of families reporting food insecurity) and their parents/caregivers participated. Each reported the child's activity and behaviors using the online PALS and received two to three messages tailored to the responses (aligned with elaboration likelihood and transtheoretical models) to motivate behavioral improvements or reinforce healthy behaviors. Most children and parents (>90%) agreed the PALS was easy to complete, encouraging thought about their own/child's behaviors. The child's PALS responses appeared reasonable (fair-to-good child-parent intraclass correlations). Most children and parents (≥75%) reported the tailored messages to be helpful and favorable for improving or maintaining the targeted behavior. Neither message type (motivating/reinforcing) nor favorability responses varied significantly by the child's weight or family's food security status. In summary, children and parents found the PALS with tailored messages acceptable and useful. The message types and responses could help focus brief clinical encounters.
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Affiliation(s)
- Sarah Chau
- Department of Allied Health Sciences, University of CT, Storrs, CT 06269-1101, USA; (S.C.); (S.O.); (S.A.)
| | - Samantha Oldman
- Department of Allied Health Sciences, University of CT, Storrs, CT 06269-1101, USA; (S.C.); (S.O.); (S.A.)
| | - Sharon R. Smith
- CT Children’s Medical Center, University of CT School of Medicine, Hartford, CT 06269-1101, USA;
| | - Carolyn A. Lin
- Communications Department, University of CT, Storrs, CT 06269-1101, USA;
| | - Saba Ali
- Department of Allied Health Sciences, University of CT, Storrs, CT 06269-1101, USA; (S.C.); (S.O.); (S.A.)
| | - Valerie B. Duffy
- Department of Allied Health Sciences, University of CT, Storrs, CT 06269-1101, USA; (S.C.); (S.O.); (S.A.)
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Coumans JMJ, Bolman CAW, Lechner L, Oenema A. An exploration of perceptions and preferences for healthy eating in Dutch consumers: a qualitative pilot study. Pilot Feasibility Stud 2021; 7:20. [PMID: 33419486 PMCID: PMC7791679 DOI: 10.1186/s40814-020-00735-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 11/24/2020] [Indexed: 11/10/2022] Open
Abstract
Background Unhealthy dietary patterns are highly prevalent in Western countries, and they have been associated with depression, hypertension, heart disease, cancer, type 2 diabetes, and obesity. Many dietary interventions have been developed to promote healthier dietary behavior, yet most do not achieve the intended dietary change. This study aims to provide a better understanding of what Dutch consumers perceive as a healthy diet, how this relates to the current Dutch nutrition guidelines, and their preferences for how to eat more healthily. This is an essential consideration for the development of tailored interventions aimed to help people adopt changes in their dietary behavior. Methods Seventy-eight participants filled in an online questionnaire containing both open-ended and closed-ended questions. The qualitative data was analyzed using content analysis resulting in a classification scheme. Two students then identified to which category each part of a participant’s answer belonged. Results For both the perception of a healthy diet and how to eat healthily, four major categories and a residual category were identified: dietary patterns, food processing, food products, content/nutrients, and non-food. These major categories consisted of several categories. The results showed that how people perceived a healthy diet was mostly represented at the level of food product (vegetables and fruit) and the content/nutrient level (carbohydrates), whereas how they would like to eat healthily was mostly represented at the level of food processing (preparation), food product (vegetables), and dietary patterns (amount). Conclusions Our findings are mostly in line with how the Dutch dietary guidelines are communicated (“product level”). However, consumers primarily mention single aspects instead of naming the guidelines as a whole. Health policymakers can use this insight in future communications regarding the guidelines to the general public. A challenge for future (eHealth) diet interventions is how to implement and tailor dietary information that optimally connects with the perceptions of the target population. Supplementary Information The online version contains supplementary material available at 10.1186/s40814-020-00735-6.
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Affiliation(s)
- Juul M J Coumans
- Department of Health Psychology, Faculty of Psychology, Open University of the Netherlands, Heerlen, The Netherlands.
| | - Catherine A W Bolman
- Department of Health Psychology, Faculty of Psychology, Open University of the Netherlands, Heerlen, The Netherlands
| | - Lilian Lechner
- Department of Health Psychology, Faculty of Psychology, Open University of the Netherlands, Heerlen, The Netherlands
| | - Anke Oenema
- Department of Health Promotion, Care and public health research institute (Caphri), Faculty of Health Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
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Laranjo L, Quiroz JC, Tong HL, Arevalo Bazalar M, Coiera E. A Mobile Social Networking App for Weight Management and Physical Activity Promotion: Results From an Experimental Mixed Methods Study. J Med Internet Res 2020; 22:e19991. [PMID: 33289670 PMCID: PMC7755540 DOI: 10.2196/19991] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 08/06/2020] [Accepted: 11/11/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Smartphone apps, fitness trackers, and online social networks have shown promise in weight management and physical activity interventions. However, there are knowledge gaps in identifying the most effective and engaging interventions and intervention features preferred by their users. OBJECTIVE This 6-month pilot study on a social networking mobile app connected to wireless weight and activity tracking devices has 2 main aims: to evaluate changes in BMI, weight, and physical activity levels in users from different BMI categories and to assess user perspectives on the intervention, particularly on social comparison and automated self-monitoring and feedback features. METHODS This was a mixed methods study involving a one-arm, pre-post quasi-experimental pilot with postintervention interviews and focus groups. Healthy young adults used a social networking mobile app intervention integrated with wireless tracking devices (a weight scale and a physical activity tracker) for 6 months. Quantitative results were analyzed separately for 2 groups-underweight-normal and overweight-obese BMI-using t tests and Wilcoxon sum rank, Wilcoxon signed rank, and chi-square tests. Weekly BMI change in participants was explored using linear mixed effects analysis. Interviews and focus groups were analyzed inductively using thematic analysis. RESULTS In total, 55 participants were recruited (mean age of 23.6, SD 4.6 years; 28 women) and 45 returned for the final session (n=45, 82% retention rate). There were no differences in BMI from baseline to postintervention (6 months) and between the 2 BMI groups. However, at 4 weeks, participants' BMI decreased by 0.34 kg/m2 (P<.001), with a loss of 0.86 kg/m2 in the overweight-obese group (P=.01). Participants in the overweight-obese group used the app significantly less compared with individuals in the underweight-normal BMI group, as they mentioned negative feelings and demotivation from social comparison, particularly from upward comparison with fitter people. Participants in the underweight-normal BMI group were avid users of the app's self-monitoring and feedback (P=.02) and social (P=.04) features compared with those in the overweight-obese group, and they significantly increased their daily step count over the 6-month study duration by an average of 2292 steps (95% CI 898-3370; P<.001). Most participants mentioned a desire for a more personalized intervention. CONCLUSIONS This study shows the effects of different interventions on participants from higher and lower BMI groups and different perspectives regarding the intervention, particularly with respect to its social features. Participants in the overweight-obese group did not sustain a short-term decrease in their BMI and mentioned negative emotions from app use, while participants in the underweight-normal BMI group used the app more frequently and significantly increased their daily step count. These differences highlight the importance of intervention personalization. Future research should explore the role of personalized features to help overcome personal barriers and better match individual preferences and needs.
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Affiliation(s)
- Liliana Laranjo
- Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.,Westmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Juan C Quiroz
- Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.,Centre for Big Data Research in Health, University of New South Wales, Sydney, Australia
| | - Huong Ly Tong
- Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
| | | | - Enrico Coiera
- Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
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Boudreau F, Dagenais GR, de Vries H, Walthouwer MJL, Côté J, Turbide G, Bourlaud AS, Poirier P. Effectiveness of a web-based computer-tailored intervention promoting physical activity for adults from Quebec City: a randomized controlled trial. Health Psychol Behav Med 2020; 8:601-622. [PMID: 34040888 PMCID: PMC8114390 DOI: 10.1080/21642850.2020.1850287] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
Background The primary objective of this study was to determine the effectiveness of a 3-month web-based computer-tailored intervention on moderate-to-vigorous physical activity (MVPA) in adults. Methods A total of 242 Canadian adults aged between 35 and 70 years were randomized to an experimental group receiving the intervention or a waiting list control group. The fully automated web-based computer-tailored physical activity intervention consists of seven 10- to 15-min sessions over an 8-week period. The theoretical underpinning of the intervention is based on the I-Change Model. Results A repeated-measures ANOVA using a linear mixed model showed a significant 'group-by-time' interaction favoring the intervention group in self-reported MVPA (p = .02). The MVPA was similar in both groups at baseline (mean ± SD; 176 ± 13 vs. 172 ± 15 min/week, p = .72) and higher in the intervention than in the control group at a 3-month follow-up (259 ± 21 vs. 201 ± 22 min/week, p = .04). This finding was comparable across women and men (group-by-sex, p = .57) and across participants meeting or not physical activity guidelines at baseline (group-by-baseline physical activity, p = .43). Although engagement to the web-based sessions declined over time, participants completing more web sessions achieved higher self-reported MVPA (p < .05). Conclusion These findings suggest that this intervention is effective in enhancing self-reported MVPA in this adult population in the short term; however, this needs to be confirmed in a larger trial with better engagement to the web-based sessions.
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Affiliation(s)
- François Boudreau
- Département des sciences infirmières, Université du Québec à Trois-Rivières, Trois-Rivières, Canada
| | - Gilles R Dagenais
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Québec, Canada.,Département de médecine, Faculté de médecine, Université Laval, Québec, Canada
| | - Hein de Vries
- School for Public Health and Primary Care (CAPHRI), Department of Health Promotion, Maastricht University, Maastricht, Netherlands
| | - Michel Jean Louis Walthouwer
- School for Public Health and Primary Care (CAPHRI), Department of Health Promotion, Maastricht University, Maastricht, Netherlands
| | - José Côté
- Faculté des sciences infirmières, Centre de recherche du Centre hospitalier de l'Université de Montréal, Quebec, Canada
| | - Ginette Turbide
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Québec, Canada
| | - Anne-Sophie Bourlaud
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Québec, Canada
| | - Paul Poirier
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Québec, Canada.,Faculté de Pharmacie, Université Laval, Québec, Canada
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Vandelanotte C, Short CE, Plotnikoff RC, Rebar A, Alley S, Schoeppe S, Canoy DF, Hooker C, Power D, Oldmeadow C, Leigh L, To Q, Mummery WK, Duncan MJ. Are web-based personally tailored physical activity videos more effective than personally tailored text-based interventions? Results from the three-arm randomised controlled TaylorActive trial. Br J Sports Med 2020; 55:336-343. [DOI: 10.1136/bjsports-2020-102521] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/13/2020] [Indexed: 11/04/2022]
Abstract
ObjectivesSome online, personally tailored, text-based physical activity interventions have proven effective. However, people tend to ‘skim’ and ‘scan’ web-based text rather than thoroughly read their contents. In contrast, online videos are more engaging and popular. We examined whether web-based personally tailored physical activity videos were more effective in promoting physical activity than personally tailored text and generic information.Methods501 adults were randomised into a video-tailored intervention, text-tailored intervention or control. Over a 3-month period, intervention groups received access to eight sessions of web-based personally tailored physical activity advice. Only the delivery method differed between intervention groups: tailored video versus tailored text. The primary outcome was 7-day ActiGraph-GT3X+ measured moderate-to-vigorous physical activity (MVPA) assessed at 0, 3 and 9 months. Secondary outcomes included self-reported MVPA and website engagement. Differences were examined using generalised linear mixed models with intention-to-treat and multiple imputation.ResultsAccelerometer-assessed MVPA increased 23% in the control (1.23 (1.06, 1.43)), 12% in the text-tailored (1.12 (0.95, 1.32)) and 28% in the video-tailored (1.28 (1.06, 1.53)) groups at the 3-month follow-up only, though there were no significant between-group differences. Both text-tailored (1.77 (1.37, 2.28]) and video-tailored (1.37 (1.04, 1.79)) groups significantly increased self-reported MVPA more than the control group at 3 months only, but there were no differences between video-tailored and text-tailored groups. The video-tailored group spent significantly more time on the website compared with text-tailored participants (90 vs 77 min, p=0.02).ConclusionsThe personally tailored videos were not more effective than personally tailored text in increasing MVPA. The findings from this study conflict with pilot study outcomes and previous literature. Process evaluation and mediation analyses will provide further insights.Trial registration numberACTRN12615000057583
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Piernas C, Aveyard P, Lee C, Tsiountsioura M, Noreik M, Astbury NM, Oke J, Madigan C, Jebb SA. Evaluation of an intervention to provide brief support and personalized feedback on food shopping to reduce saturated fat intake (PC-SHOP): A randomized controlled trial. PLoS Med 2020; 17:e1003385. [PMID: 33151934 PMCID: PMC7643942 DOI: 10.1371/journal.pmed.1003385] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 09/18/2020] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Guidelines recommend reducing saturated fat (SFA) intake to decrease cardiovascular disease (CVD) risk, but there is limited evidence on scalable and effective approaches to change dietary intake, given the large proportion of the population exceeding SFA recommendations. We aimed to develop a system to provide monthly personalized feedback and healthier swaps based on nutritional analysis of loyalty card data from the largest United Kingdom grocery store together with brief advice and support from a healthcare professional (HCP) in the primary care practice. Following a hybrid effectiveness-feasibility design, we tested the effects of the intervention on SFA intake and low-density lipoprotein (LDL) cholesterol as well as the feasibility and acceptability of providing nutritional advice using loyalty card data. METHODS AND FINDINGS The Primary Care Shopping Intervention for Cardiovascular Disease Prevention (PC-SHOP) study is a parallel randomized controlled trial with a 3 month follow-up conducted between 21 March 2018 to 16 January2019. Adults ≥18 years with LDL cholesterol >3 mmol/L (n = 113) were recruited from general practitioner (GP) practices in Oxfordshire and randomly allocated to "Brief Support" (BS, n = 48), "Brief Support + Shopping Feedback" (SF, n = 48) or "Control" (n = 17). BS consisted of a 10-minute consultation with an HCP to motivate participants to reduce their SFA intake. Shopping feedback comprised a personalized report on the SFA content of grocery purchases and suggestions for lower SFA swaps. The primary outcome was the between-group difference in change in SFA intake (% total energy intake) at 3 months adjusted for baseline SFA and GP practice using intention-to-treat analysis. Secondary outcomes included %SFA in purchases, LDL cholesterol, and feasibility outcomes. The trial was powered to detect an absolute reduction in SFA of 3% (SD3). Neither participants nor the study team were blinded to group allocation. A total of 106 (94%) participants completed the study: 68% women, 95% white ethnicity, average age 62.4 years (SD 10.8), body mass index (BMI) 27.1 kg/m2 (SD 4.7). There were small decreases in SFA intake at 3 months: control = -0.1% (95% CI -1.8 to 1.7), BS = -0.7% (95% CI -1.8 to 0.3), SF = -0.9% (95% CI -2.0 to 0.2); but no evidence of a significant effect of either intervention compared with control (difference adjusted for GP practice and baseline: BS versus control = -0.33% [95% CI -2.11 to 1.44], p = 0.709; SF versus control = -0.11% [95% CI -1.92 to 1.69], p = 0.901). There were similar trends in %SFA based on supermarket purchases: control = -0.5% (95% CI -2.3 to 1.2), BS = -1.3% (95% CI -2.3 to -0.3), SF = -1.5% (95% CI -2.5 to -0.5) from baseline to follow-up, but these were not significantly different: BS versus control p = 0.379; SF versus control p = 0.411. There were small reductions in LDL from baseline to follow-up (control = -0.14 mmol/L [95% CI -0.48, 0.19), BS: -0.39 mmol/L [95% CI -0.59, -0.19], SF: -0.14 mmol/L [95% CI -0.34, 0.07]), but these were not significantly different: BS versus control p = 0.338; SF versus control p = 0.790. Limitations of this study include the small sample of participants recruited, which limits the power to detect smaller differences, and the low response rate (3%), which may limit the generalisability of these findings. CONCLUSIONS In this study, we have shown it is feasible to deliver brief advice in primary care to encourage reductions in SFA intake and to provide personalized advice to encourage healthier choices using supermarket loyalty card data. There was no evidence of large reductions in SFA, but we are unable to exclude more modest benefits. The feasibility, acceptability, and scalability of these interventions suggest they have potential to encourage small changes in diet, which could be beneficial at the population level. TRIAL REGISTRATION ISRCTN14279335.
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Affiliation(s)
- Carmen Piernas
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
- * E-mail:
| | - Paul Aveyard
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Charlotte Lee
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Melina Tsiountsioura
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Michaela Noreik
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Nerys M. Astbury
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Jason Oke
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Claire Madigan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Susan A. Jebb
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
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Rollo ME, Haslam RL, Collins CE. Impact on Dietary Intake of Two Levels of Technology-Assisted Personalized Nutrition: A Randomized Trial. Nutrients 2020; 12:E3334. [PMID: 33138210 PMCID: PMC7693517 DOI: 10.3390/nu12113334] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 10/20/2020] [Accepted: 10/22/2020] [Indexed: 02/05/2023] Open
Abstract
Advances in web and mobile technologies have created efficiencies relating to collection, analysis and interpretation of dietary intake data. This study compared the impact of two levels of nutrition support: (1) low personalization, comprising a web-based personalized nutrition feedback report generated using the Australian Eating Survey® (AES) food frequency questionnaire data; and (2) high personalization, involving structured video calls with a dietitian using the AES report plus dietary self-monitoring with text message feedback. Intake was measured at baseline and 12 weeks using the AES and diet quality using the Australian Recommended Food Score (ARFS). Fifty participants (aged 39.2 ± 12.5 years; Body Mass Index 26.4 ± 6.0 kg/m2; 86.0% female) completed baseline measures. Significant (p < 0.05) between-group differences in dietary changes favored the high personalization group for total ARFS (5.6 points (95% CI 1.3 to 10.0)) and ARFS sub-scales of meat (0.9 points (0.4 to 1.6)), vegetarian alternatives (0.8 points (0.1 to 1.4)), and dairy (1.3 points (0.3 to 2.3)). Additional significant changes in favor of the high personalization group occurred for proportion of energy intake derived from energy-dense, nutrient-poor foods (-7.2% (-13.8% to -0.5%)) and takeaway foods sub-group (-3.4% (-6.5% to 0.3%). Significant within-group changes were observed for 12 dietary variables in the high personalization group vs one variable for low personalization. A higher level of personalized support combining the AES report with one-on-one dietitian video calls and dietary self-monitoring resulted in greater dietary change compared to the AES report alone. These findings suggest nutrition-related web and mobile technologies in combination with personalized dietitian delivered advice have a greater impact compared to when used alone.
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Affiliation(s)
- Megan E. Rollo
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, Callaghan, NSW 2308, Australia;
- School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Callaghan, NSW 2308, Australia
| | - Rebecca L. Haslam
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, Callaghan, NSW 2308, Australia;
- School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Callaghan, NSW 2308, Australia
| | - Clare E. Collins
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, Callaghan, NSW 2308, Australia;
- School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Callaghan, NSW 2308, Australia
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Schroé H, Van Dyck D, De Paepe A, Poppe L, Loh WW, Verloigne M, Loeys T, De Bourdeaudhuij I, Crombez G. Which behaviour change techniques are effective to promote physical activity and reduce sedentary behaviour in adults: a factorial randomized trial of an e- and m-health intervention. Int J Behav Nutr Phys Act 2020; 17:127. [PMID: 33028335 PMCID: PMC7539442 DOI: 10.1186/s12966-020-01001-x] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 07/22/2020] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND E- and m-health interventions are promising to change health behaviour. Many of these interventions use a large variety of behaviour change techniques (BCTs), but it's not known which BCTs or which combination of BCTs contribute to their efficacy. Therefore, this experimental study investigated the efficacy of three BCTs (i.e. action planning, coping planning and self-monitoring) and their combinations on physical activity (PA) and sedentary behaviour (SB) against a background set of other BCTs. METHODS In a 2 (action planning: present vs absent) × 2 (coping planning: present vs absent) × 2 (self-monitoring: present vs absent) factorial trial, 473 adults from the general population used the self-regulation based e- and m-health intervention 'MyPlan2.0' for five weeks. All combinations of BCTs were considered, resulting in eight groups. Participants selected their preferred target behaviour, either PA (n = 335, age = 35.8, 28.1% men) or SB (n = 138, age = 37.8, 37.7% men), and were then randomly allocated to the experimental groups. Levels of PA (MVPA in minutes/week) or SB (total sedentary time in hours/day) were assessed at baseline and post-intervention using self-reported questionnaires. Linear mixed-effect models were fitted to assess the impact of the different combinations of the BCTs on PA and SB. RESULTS First, overall efficacy of each BCT was examined. The delivery of self-monitoring increased PA (t = 2.735, p = 0.007) and reduced SB (t = - 2.573, p = 0.012) compared with no delivery of self-monitoring. Also, the delivery of coping planning increased PA (t = 2.302, p = 0.022) compared with no delivery of coping planning. Second, we investigated to what extent adding BCTs increased efficacy. Using the combination of the three BCTs was most effective to increase PA (x2 = 8849, p = 0.003) whereas the combination of action planning and self-monitoring was most effective to decrease SB (x2 = 3.918, p = 0.048). To increase PA, action planning was always more effective in combination with coping planning (x2 = 5.590, p = 0.014; x2 = 17.722, p < 0.001; x2 = 4.552, p = 0.033) compared with using action planning without coping planning. Of note, the use of action planning alone reduced PA compared with using coping planning alone (x2 = 4.389, p = 0.031) and self-monitoring alone (x2 = 8.858, p = 003), respectively. CONCLUSIONS This study provides indications that different (combinations of) BCTs may be effective to promote PA and reduce SB. More experimental research to investigate the effectiveness of BCTs is needed, which can contribute to improved design and more effective e- and m-health interventions in the future. TRIAL REGISTRATION This study was preregistered as a clinical trial (ID number: NCT03274271 ). Release date: 20 October 2017.
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Affiliation(s)
- Helene Schroé
- Ghent Health Psychology Lab, Department of Experimental-Clinical and Health Psychology, Faculty of Psychology and Educational Sciences, Ghent University, Henri Dunantlaan 2, Ghent, 9000, Belgium. .,Research Group Physical Activity and Health, Department of Movement and Sports Sciences, Faculty of Medicine and Health, Ghent University, Watersportlaan 2, 9000, Ghent, Belgium.
| | - Delfien Van Dyck
- Research Group Physical Activity and Health, Department of Movement and Sports Sciences, Faculty of Medicine and Health, Ghent University, Watersportlaan 2, 9000, Ghent, Belgium
| | - Annick De Paepe
- Ghent Health Psychology Lab, Department of Experimental-Clinical and Health Psychology, Faculty of Psychology and Educational Sciences, Ghent University, Henri Dunantlaan 2, Ghent, 9000, Belgium
| | - Louise Poppe
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Wen Wei Loh
- Department of Data Analysis, Faculty of Psychology and Educational Sciences, Ghent University, Ghent, Belgium
| | - Maïté Verloigne
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Tom Loeys
- Department of Data Analysis, Faculty of Psychology and Educational Sciences, Ghent University, Ghent, Belgium
| | - Ilse De Bourdeaudhuij
- Research Group Physical Activity and Health, Department of Movement and Sports Sciences, Faculty of Medicine and Health, Ghent University, Watersportlaan 2, 9000, Ghent, Belgium
| | - Geert Crombez
- Ghent Health Psychology Lab, Department of Experimental-Clinical and Health Psychology, Faculty of Psychology and Educational Sciences, Ghent University, Henri Dunantlaan 2, Ghent, 9000, Belgium
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Drent M, Elfferich M, Breedveld E, Vries JD, Strookappe B. Benefit of Wearing an Activity Tracker in Sarcoidosis. J Pers Med 2020; 10:jpm10030097. [PMID: 32842583 PMCID: PMC7563218 DOI: 10.3390/jpm10030097] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 08/17/2020] [Accepted: 08/20/2020] [Indexed: 12/14/2022] Open
Abstract
Sarcoidosis causes many disabling symptoms, including fatigue and exercise limitations, which have been shown to improve by physical activity programs. The aim of this study was to estimate the effect of continuous activity monitoring using an electronic activity tracker (AT) on exercise performance and fatigue of sarcoidosis patients, compared to controls (cohort study), and the effect of additional personal coaching (randomized trial) over a period of 3 months. Fifty-four sarcoidosis patients received an AT (Group Ia: 27 with coaching and Group Ib: 27 without). A historical group of sarcoidosis patients (Group II; n = 41) who did not follow a physical activity program served as controls. Exercise performance of patients wearing an AT (Group I) improved compared with controls (Group II), including the 6MWD, % predicted (∆4.4 ± 9.1 versus ∆0.7 ± 5.0, respectively), and fatigue levels decreased (∆−3.9 ± 5.7 versus ∆−1.8 ± 5.3). Patients with coaching (Group Ia) showed greater improvement of exercise capacity over time than patients without coaching (Group Ib) as shown by the Steep Ramp Test results (watts: ∆20.2 ± 33.8 versus ∆5.7 ± 26.4; and SRT, VO2max, % predicted: ∆1.6 ± 2.6 versus ∆0.7 ± 2.3). Sarcoidosis patients wearing an AT achieved improvement of exercise performance and reduction of fatigue. We therefore recommend encouraging sarcoidosis patients to wear an AT to stimulate physical activity and reduce fatigue. The additional benefit of coaching needs to be explored in future studies.
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Affiliation(s)
- Marjolein Drent
- ILD Care Foundation Research Team, 6711 NR Ede, The Netherlands; (M.E.); (E.B.); (J.D.V.); (B.S.)
- ILD Center of Excellence, Department of Pulmonology, St. Antonius Hospital, 3435 CM Nieuwegein, The Netherlands
- Department of Pharmacology and Toxicology, FHML, University Maastricht, 6211 LK Maastricht, The Netherlands
- Correspondence: ; Tel.: +31-620449319
| | - Marjon Elfferich
- ILD Care Foundation Research Team, 6711 NR Ede, The Netherlands; (M.E.); (E.B.); (J.D.V.); (B.S.)
- Department of Physical Therapy, Hospital Gelderse Vallei, 6716 RP Ede, The Netherlands
| | - Ellen Breedveld
- ILD Care Foundation Research Team, 6711 NR Ede, The Netherlands; (M.E.); (E.B.); (J.D.V.); (B.S.)
- Department of Physical Therapy, Hospital Gelderse Vallei, 6716 RP Ede, The Netherlands
| | - Jolanda De Vries
- ILD Care Foundation Research Team, 6711 NR Ede, The Netherlands; (M.E.); (E.B.); (J.D.V.); (B.S.)
- Department of Medical Psychology, Elisabeth-TweeSteden Hospital Tilburg, 5042 AD Tilburg, The Netherlands
- Department of Medical and Clinical Psychology, Tilburg University, 5037 AB Tilburg, The Netherlands
| | - Bert Strookappe
- ILD Care Foundation Research Team, 6711 NR Ede, The Netherlands; (M.E.); (E.B.); (J.D.V.); (B.S.)
- Department of Physical Therapy, Hospital Gelderse Vallei, 6716 RP Ede, The Netherlands
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Afonso L, Rodrigues R, Castro J, Parente N, Teixeira C, Fraga A, Torres S. A Mobile-Based Tailored Recommendation System for Parents of Children with Overweight or Obesity: A New Tool for Health Care Centers. Eur J Investig Health Psychol Educ 2020; 10:779-794. [PMID: 34542511 PMCID: PMC8314285 DOI: 10.3390/ejihpe10030057] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 08/05/2020] [Accepted: 08/06/2020] [Indexed: 01/10/2023] Open
Abstract
Childhood obesity is associated with unbalanced lifestyle patterns, and new strategies are needed to support parents in the compliance with the guidelines for children's age. Tailored automatic recommendations mimic interpersonal counseling and are promising strategies to be considered for health promotion programs. This study aimed to develop and test a mobile recommendation system for parents of preschool children identified with overweight/obesity at health care centers. Evidence-based recommendations related to children's eating, drinking, moving, and sleeping habits were developed and tested using a questionnaire. A pilot study was conducted in a health care center to test how using an app with those tailored recommendations, in video format, influenced parents' perceptions of the child's weight status and their knowledge about the guidelines, compared to a control group. The chi-squared test was used for categorical variables and the Mann-Whitney U test for continuous variables (p < 0.05). A high proportion of parents were already informed about the guidelines, but their children were not meeting them. After watching the tailored recommendations, there was an increased knowledge of the guideline on water intake, but there was no improvement in the perception of the child's excessive weight. Parents may benefit from a mobile-based tailored recommendation system to improve their knowledge about the guidelines. However, there is a need to work with parents on motivation to manage the child's weight with additional strategies.
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Affiliation(s)
- Lisa Afonso
- Faculty of Psychology and Educational Sciences and Center for Psychology, University of Porto, Rua Alfredo Allen, 4200-135 Porto, Portugal;
- Correspondence:
| | - Rui Rodrigues
- Faculty of Engineering, University of Porto, and INESC TEC, Rua Doutor Roberto Frias, 4200-465 Porto, Portugal;
| | - Joana Castro
- Maia-Valongo Health Centre Group, Avenida Luís de Camões, n.º 290, 3.º Andar, 4474-004 Maia, Portugal; (J.C.); (N.P.); (C.T.); (A.F.)
| | - Nuno Parente
- Maia-Valongo Health Centre Group, Avenida Luís de Camões, n.º 290, 3.º Andar, 4474-004 Maia, Portugal; (J.C.); (N.P.); (C.T.); (A.F.)
| | - Carina Teixeira
- Maia-Valongo Health Centre Group, Avenida Luís de Camões, n.º 290, 3.º Andar, 4474-004 Maia, Portugal; (J.C.); (N.P.); (C.T.); (A.F.)
| | - Ana Fraga
- Maia-Valongo Health Centre Group, Avenida Luís de Camões, n.º 290, 3.º Andar, 4474-004 Maia, Portugal; (J.C.); (N.P.); (C.T.); (A.F.)
| | - Sandra Torres
- Faculty of Psychology and Educational Sciences and Center for Psychology, University of Porto, Rua Alfredo Allen, 4200-135 Porto, Portugal;
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Wurst R, Maliezefski A, Ramsenthaler C, Brame J, Fuchs R. Effects of Incentives on Adherence to a Web-Based Intervention Promoting Physical Activity: Naturalistic Study. J Med Internet Res 2020; 22:e18338. [PMID: 32729835 PMCID: PMC7426800 DOI: 10.2196/18338] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 05/02/2020] [Accepted: 05/13/2020] [Indexed: 11/18/2022] Open
Abstract
Background Despite many advantages of web-based health behavior interventions such as wide accessibility or low costs, these interventions are often accompanied by high attrition rates, particularly in usage under real-life conditions. It would therefore be helpful to implement strategies such as the use of financial incentives to motivate program participation and increase adherence. Objective This naturalistic study examined real-life usage data of a 12-week web-based physical activity (PA) intervention (Fitness Coach) among insurants who participated in an additional incentive program (incentive group) and those who did not (nonincentive group). Users in the incentive group had the perspective of receiving €30 (about US $33) cash back at the end of the intervention. Methods Registration and real-life usage data as part of routine data management and evaluation of the Fitness Coach were analyzed between September 2016 and June 2018. Depending on the duration of use and the weekly recording of tasks, 4 adherence groups (low, occasional, strong, and complete adherence) were defined. Demographic characteristics were collected by a self-reported questionnaire at registration. We analyzed baseline predictors and moderators of complete adherence such as participation in the program, age, gender, and BMI using binary logistic regressions. Results A total of 18,613 eligible persons registered for the intervention. Of these, 15,482 users chose to participate in the incentive program (incentive group): mean age 42.4 (SD 14.4) years, mean BMI 24.5 (SD 4.0) kg/m2, median (IQR) BMI 23.8 (21.7-26.4) kg/m2; 65.12% (10,082/15,482) female; and 3131 users decided not to use the incentive program (nonincentive group): mean age 40.7 (SD 13.4) years, mean BMI 26.2 (SD 5.0) kg/m2, median BMI 25.3 (IQR 22.6-28.7) kg/m2; 72.18% (2260/3131) female. At the end of the intervention, participants in the incentive program group showed 4.8 times higher complete adherence rates than those in the nonincentive program group (39.2% vs 8.1%), also yielding significantly higher odds to complete the intervention (odds ratio [OR] 12.638) for the incentive program group. Gender significantly moderated the effect with men in the incentive group showing higher odds to be completely adherent than women overall and men in the nonincentive group (OR 1.761). Furthermore, older age and male gender were significant predictors of complete adherence for all participants, whereas BMI did not predict intervention completion. Conclusions This is the first naturalistic study in the field of web-based PA interventions that shows the potential of even small financial incentives to increase program adherence. Male users, in particular, seem to be strongly motivated by incentives to complete the intervention. Based on these findings, health care providers can use differentiated incentive systems to increase regular participation in web-based PA interventions.
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Affiliation(s)
- Ramona Wurst
- Department of Sport and Sport Science, University of Freiburg, Freiburg, Germany
| | | | | | - Judith Brame
- Department of Sport and Sport Science, University of Freiburg, Freiburg, Germany
| | - Reinhard Fuchs
- Department of Sport and Sport Science, University of Freiburg, Freiburg, Germany
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48
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Coumans JMJ, Bolman CAW, Oenema A, Lechner L. Predictors of Self-Determined Module Choice in a Web-Based Computer-Tailored Diet and Physical Activity Intervention: Secondary Analysis of Data From a Randomized Controlled Trial. J Med Internet Res 2020; 22:e15024. [PMID: 32706659 PMCID: PMC7413275 DOI: 10.2196/15024] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 01/13/2020] [Accepted: 03/11/2020] [Indexed: 12/24/2022] Open
Abstract
Background Tailoring an online intervention to participant preferences (eg, by giving participants a choice which modules to follow) may increase engagement in the intervention, motivation for behavioral change, and possibly intervention effects. So far, little is known about what characteristics predict these module choices. Filling this knowledge gap is useful for optimizing program engagement. Objective We investigated participant choice for a dietary and/or physical activity (PA) promotion module in our web-based computer-tailored intervention based on self-determination theory (SDT) and motivational interviewing (MI). Furthermore, we investigated which demographic characteristics, current behavior, psychosocial constructs and constructs from SDT and MI, and program-related variables such as advice on which module to follow were associated with these choices. Methods Observational data were used from the randomized controlled trial MyLifestyleCoach of participants who were randomized into the intervention condition, completed the baseline questionnaire, and made a module choice in the opening session of the intervention. Here, they received advice on their own dietary and PA behavior. At the session’s end, they chose which lifestyle modules they would like to follow (both, diet, PA, or no module). Measurements included demographic information; self-reported diet and PA; and several psychosocial, SDT, and MI constructs. In total, data from 619 Dutch adults (59.6% women; mean age was 51.9 [SD 13.5] years) were analyzed. A stepwise multinomial logistic regression analysis was conducted to investigate which characteristics are related to module choice; the diet module served as reference category as almost everyone was advised to follow this module. Results Of this sample, 54.8% (339/619) chose to do both the diet and PA module, 25.4% (157/619) chose to follow the diet module, 17.8% (110/619) preferred to follow no module, and 2.1% (13/619) chose to do the PA module only. Furthermore, it was found that older people, those who consumed more fruit, and those who scored lower on importance to change their current diet were more likely to choose no module compared to the diet module. People who had more motivation to change their current PA and those who received strong advice compared with slight advice to follow the diet module were more likely to choose both modules compared with the diet module only. Conclusions The results show that more than half of the sample was interested in following both the diet and PA module in this online lifestyle intervention. Several characteristics were found to be related to module choice. A future challenge is to examine how this knowledge can be used to improve future interventions, such as tailoring (messages or content) on specific groups or examining where and how MI could be used to motivate people to make a certain module choice. Trial Registration Netherlands Trial Register NL7333; https://www.trialregister.nl/trial/7333
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Affiliation(s)
- Juul M J Coumans
- Department of Health Psychology, Faculty of Psychology, Open University of the Netherlands, Heerlen, Netherlands
| | - Catherine A W Bolman
- Department of Health Psychology, Faculty of Psychology, Open University of the Netherlands, Heerlen, Netherlands
| | - Anke Oenema
- Department of Health Promotion, Caphri, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Lilian Lechner
- Department of Health Psychology, Faculty of Psychology, Open University of the Netherlands, Heerlen, Netherlands
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49
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Berninger NM, Ten Hoor GA, Plasqui G, Kok G, Peters GJY, Ruiter RAC. Sedentary Work in Desk-Dominated Environments: A Data-Driven Intervention Using Intervention Mapping. JMIR Form Res 2020; 4:e14951. [PMID: 32706695 PMCID: PMC7399954 DOI: 10.2196/14951] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 11/12/2019] [Accepted: 03/23/2020] [Indexed: 12/13/2022] Open
Abstract
Background Since desk-dominated work environments facilitate sedentary behavior, office workers sit for 66% of their working days and only 8% succeed in interrupting their prolonged periods of sitting within the first 55 minutes. Yet stretches of long and uninterrupted sitting increase the likelihood of several chronic metabolic and cardiovascular diseases. Objective We therefore developed a computer-based app designed to interrupt periods of prolonged sitting among office employees. Methods When developing the intervention, we applied the intervention mapping protocol. This approach for the systematic design of theory and evidence-based behavior change programs consists of 6 steps: creation of a logic model of the problem, creation of a logic model of change, program design, program production, design of an implementation plan, and development of an evaluation plan. Results Working through all 6 steps has resulted in an individually adaptable intervention to reduce sedentary behavior at work. The intervention, UPcomplish, consists of tailored, half-automatized motivational components delivered by a coach. To register sedentary behavior, the VitaBit (VitaBit Software International BV) toolkit, a wearable accelerometry-based monitoring device, is used. Among others, UPcomplish includes personalized goal setting, tailored suggestions to overcome hurdles, and weekly challenges. The VitaBit toolkit supports the participants to monitor their behavior in relation to self-set goals. Conclusions Intervention mapping is a useful protocol not only for the systematic development of a comprehensive intervention to reduce sedentary behavior but also for planning program adherence, program implementation, and program maintenance. It facilitates obtaining the participation of relevant stakeholders at different ecological levels in the development process of the intervention and anticipating facilitators to and barriers of program implementation and maintenance. Trial Registration Netherlands Trial Register NL7503; https://www.trialregister.nl/trial/7503
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Affiliation(s)
- Nathalie M Berninger
- Department of Work and Social Psychology, Maastricht University, Maastricht, Netherlands
| | - Gill A Ten Hoor
- Department of Work and Social Psychology, Maastricht University, Maastricht, Netherlands
| | - Guy Plasqui
- Department of Nutrition and Movement Sciences, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Gerjo Kok
- Department of Work and Social Psychology, Maastricht University, Maastricht, Netherlands
| | - Gjalt-Jorn Ygram Peters
- Department of Work and Social Psychology, Maastricht University, Maastricht, Netherlands.,Faculty of Psychology and Education Science, Open University of The Netherlands, Heerlen, Netherlands
| | - Robert A C Ruiter
- Department of Work and Social Psychology, Maastricht University, Maastricht, Netherlands
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50
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Degroote L, Van Dyck D, De Bourdeaudhuij I, De Paepe A, Crombez G. Acceptability and feasibility of the mHealth intervention 'MyDayPlan' to increase physical activity in a general adult population. BMC Public Health 2020; 20:1032. [PMID: 32600352 PMCID: PMC7325032 DOI: 10.1186/s12889-020-09148-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 06/18/2020] [Indexed: 11/29/2022] Open
Abstract
Background Electronic health (eHealth) and mobile health (mHealth) interventions have the potential to tackle the worldwide problem of physical inactivity. However, they often suffer from large attrition rates. Consequently, feasibility and acceptability of interventions have become important matters in the creation of e- and mHealth interventions. The aim of this study was to evaluate participants’ opinions regarding acceptability and feasibility of a self-regulation, app-based intervention called ‘MyDayPlan’. ‘MyDayPlan’ provides an innovative daily cycle providing several self-regulation techniques throughout the day that guide users towards an active lifestyle via various self-regulation techniques. Methods Semi-structured interviews were conducted with 20 adults after using the app for 2 weeks. A directed content analysis was performed using NVivo Software. Results ‘MyDayPlan’ was well-received and seems to be feasible and acceptable with inactive adults. The straightforward lay out and ease of use of the app were appreciated. Furthermore, the incorporation of the techniques ‘action planning’, and ‘prompting review of behavioral goals’ was positively evaluated. However, the users gave some recommendations: implementation of activity trackers to self-monitor physical activity could be of added value. Furthermore, increasing intuitiveness by minimizing text input and providing more preprogrammed options could further increase the ease of use. Finally, users indicated that they would benefit from more guidance during the “coping planning” component (barrier identification/problem solving), for example by receiving more tailored examples. Conclusions Based on these findings, adaptations will be made to the ‘MyDayPlan’ app before evaluating its effectiveness. Furthermore, involving potential end users and evaluating acceptability and feasibility during the development of an e- and mHealth intervention is key. Also, creating interventions with a large ease of use and straightforward layout that provides tailored support during action and coping planning is key.
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Affiliation(s)
- L Degroote
- Department of Movement and Sport Sciences, Ghent University, Ghent, Belgium. .,Research Foundation Flanders, Brussels, Belgium. .,Department of Clinical-Experimental and Health Psychology, Ghent University, Ghent, Belgium.
| | - D Van Dyck
- Department of Movement and Sport Sciences, Ghent University, Ghent, Belgium
| | - I De Bourdeaudhuij
- Department of Movement and Sport Sciences, Ghent University, Ghent, Belgium
| | - A De Paepe
- Department of Clinical-Experimental and Health Psychology, Ghent University, Ghent, Belgium
| | - G Crombez
- Department of Clinical-Experimental and Health Psychology, Ghent University, Ghent, Belgium
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