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Flølo TN, Tørris C, Riiser K, Almendingen K, Chew HSJ, Fosså A, Albertini Früh E, Hennessy E, Leung MM, Misvær N, Pavel N, Sundar TKB, Sæterstrand TM, Torbjørnsen A, Løyland B, Holmen H. Digital health interventions to treat overweight and obesity in children and adolescents: An umbrella review. Obes Rev 2025:e13905. [PMID: 39972996 DOI: 10.1111/obr.13905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Revised: 01/07/2025] [Accepted: 01/28/2025] [Indexed: 02/21/2025]
Abstract
Digital health interventions can support the treatment of overweight and obesity in children and adolescents, yet primary research and systematic reviews leave uncertain evidence. In this umbrella review of reviews and meta-analyses, we methodologically appraise and investigate the effects of digital health interventions used to manage overweight and obesity in children. Systematic searches were conducted in July 2023 in Medline (Ovid), CINAHL (EBSCOhost), Cochrane, EMBASE (Ovid), PsycINFO (Ovid), Epistemonikos and Web of Science (Core Collection). Reports on experiences and/or effectiveness of digital health interventions aimed at treating children with overweight or obesity aged 0 to 19 years and/or their parents were eligible for inclusion. Screening, data extraction, and methodological appraisal were conducted in blinded pairs of researchers. In total, the searches identified 2927 citations, of which 16 reviews and 10 meta-analyses, reporting on 162 distinct primary studies, were included. Effects on anthropometric measures of all digital health interventions were small when analyzing BMI and BMI-z-scores combined. Future research should strive to conduct more homogeneous and solid research, employing robust designs, standardized outcomes, and a longer follow-up time. Designing digital health interventions for the future should to a larger extent include end-users to ensure usability and relevance for the population, adding significance to the interventions that are evaluated.
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Affiliation(s)
- Tone Nygaard Flølo
- Faculty of Health Sciences, Department of Nursing and Health Promotion, OsloMet - Oslo Metropolitan University, Oslo, Norway
- Voss Hospital, Haukeland University Hospital, Norway
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Christine Tørris
- Faculty of Health Sciences, Department of Nursing and Health Promotion, OsloMet - Oslo Metropolitan University, Oslo, Norway
| | - Kirsti Riiser
- Faculty of Health Sciences, Department of Nursing and Health Promotion, OsloMet - Oslo Metropolitan University, Oslo, Norway
- Child and Adolescent Health Promotion Services, Norwegian Institute of Public Health, Oslo, Norway
| | - Kari Almendingen
- Faculty of Health Sciences, Department of Nursing and Health Promotion, OsloMet - Oslo Metropolitan University, Oslo, Norway
| | - Han Shi Jocelyn Chew
- Yong Loo Lin School of Medicine, Alice Lee Centre for Nursing Studies, National University of Singapore, Singapore
| | - Alexander Fosså
- Department of Oncology, Oslo University Hospital, Oslo, Norway
- KG Jebsen Centre for B-Cell Malignancies, Institute for Clinical Medicine, Oslo University Hospital, Oslo, Norway
| | - Elena Albertini Früh
- Faculty of Health Sciences, Department of Nursing and Health Promotion, OsloMet - Oslo Metropolitan University, Oslo, Norway
| | - Erin Hennessy
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - May May Leung
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Nina Misvær
- Faculty of Health Sciences, Department of Nursing and Health Promotion, OsloMet - Oslo Metropolitan University, Oslo, Norway
| | - Nenad Pavel
- Faculty of Technology, Art and Design, Department of Product Design, Oslo Metropolitan University, Oslo, Norway
| | - Turid Kristin Bigum Sundar
- Faculty of Health Sciences, Department of Nursing and Health Promotion, OsloMet - Oslo Metropolitan University, Oslo, Norway
| | - Toril Margaret Sæterstrand
- Faculty of Health Sciences, Department of Nursing and Health Promotion, OsloMet - Oslo Metropolitan University, Oslo, Norway
| | - Astrid Torbjørnsen
- Faculty of Health Sciences, Department of Nursing and Health Promotion, OsloMet - Oslo Metropolitan University, Oslo, Norway
| | - Borghild Løyland
- Faculty of Health Sciences, Department of Nursing and Health Promotion, OsloMet - Oslo Metropolitan University, Oslo, Norway
| | - Heidi Holmen
- Faculty of Health Sciences, Department of Nursing and Health Promotion, OsloMet - Oslo Metropolitan University, Oslo, Norway
- Division of Technology and Innovation, Intervention Centre, Oslo University Hospital, Oslo, Norway
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van der Heijden Z, Lucassen D, Faessen J, Camps G, Lu Y, Schipper H, Nijhof S, Brouwer-Brolsma E. Digital behavioral dietary interventions to promote a healthy diet among children and adolescents: a scoping review of technologies, design, behavioral theory, and assessed outcomes. Health Psychol Behav Med 2024; 12:2430965. [PMID: 39624785 PMCID: PMC11610228 DOI: 10.1080/21642850.2024.2430965] [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: 01/09/2024] [Accepted: 11/07/2024] [Indexed: 01/31/2025] Open
Abstract
Background Childhood overweight and obesity prevalence steeply increased during recent decades, prompting the development of many digital behavioral dietary interventions (DBDIs). However, a coherent overview is lacking, which is crucial for delineating research in this field. Objective This scoping review outlines the landscape of DBDIs for improving dietary behaviors in children and adolescents, including delivery modes, design and development approaches, behavioral theory, and outcomes assessed. Secondary objectives involved examining the integration of behavior change techniques (BCTs) and identifying outcomes favoring DBDIs. Methods Following PRISMA guidelines, PsycInfo, PubMed, and Scopus were systematically searched for evaluated DBDIs. Two reviewers independently screened titles and abstracts; one performed full-text screening. Studies included had a digital component, targeted dietary behavior, focused on children or adolescents, and evaluated effects on behavior change, health, or process evaluation outcomes. One reviewer extracted data, including general information, theoretical underpinning, and outcomes assessed, while BCTs were coded independently by two reviewers. DBDIs were deemed favorable if significant improvements were observed in all outcomes (p ≤ .05). Results From 51 included studies, 41 DBDIs were identified, including app-based (37%), web-based (29%), computer-based (27%), text-message-based (5%), and combined technology tools (2%). Stakeholders were involved in the design of 59% of DBDIs, with 5% using co-design methodologies. Studies evaluated behavior change outcomes (86%), process evaluation outcomes (59%), and health outcomes (20%). DBDIs included an average of 6.2 BCTs, primarily 'Feedback on behavior' (56%) and 'Non-specific reward' (46%). Among experimental studies, 15% yielded favorable results, 58% mixed results, and 28% no favorable results. Discussion This review outlines the diverse landscape of DBDIs, highlighting various technological delivery modes and outcomes assessed. Methodological variations and limitations challenge consistent effectiveness assessment. Future research should prioritize rigorous study designs to understand efficacy and identify effective BCTs among diverse pediatric populations. Leveraging co-design methods may enhance engagement and effectiveness.
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Affiliation(s)
- Zoë van der Heijden
- Division of Human Nutrition and Health, Department Agrotechnology and Food Sciences, Wageningen University and Research, Wageningen, The Netherlands
| | - Desiree Lucassen
- Division of Human Nutrition and Health, Department Agrotechnology and Food Sciences, Wageningen University and Research, Wageningen, The Netherlands
| | - Janine Faessen
- Division of Human Nutrition and Health, Department Agrotechnology and Food Sciences, Wageningen University and Research, Wageningen, The Netherlands
| | - Guido Camps
- Division of Human Nutrition and Health, Department Agrotechnology and Food Sciences, Wageningen University and Research, Wageningen, The Netherlands
| | - Yuan Lu
- Department of Industrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Henk Schipper
- Department of Pediatric Cardiology, Erasmus MC: Sophia’s Children Hospital, Rotterdam, The Netherlands
| | - Sanne Nijhof
- Department of General Pediatrics, UMC Utrecht,Utrecht, The Netherlands
| | - Elske Brouwer-Brolsma
- Division of Human Nutrition and Health, Department Agrotechnology and Food Sciences, Wageningen University and Research, Wageningen, The Netherlands
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Sarasmita MA, Lee YH, Chan FY, Chen HY. Digital Serious Games to Promote Behavior Change in Children With Chronic Diseases: Scoping Review and Development of a Self-Management Learning Framework. J Med Internet Res 2024; 26:e49692. [PMID: 39158952 PMCID: PMC11369548 DOI: 10.2196/49692] [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: 06/06/2023] [Revised: 04/13/2024] [Accepted: 06/25/2024] [Indexed: 08/20/2024] Open
Abstract
BACKGROUND Digital serious games (SGs) have rapidly become a promising strategy for entertainment-based health education; however, developing SGs for children with chronic diseases remains a challenge. OBJECTIVE In this study, we attempted to provide an updated scope of understanding of the development and evaluation of SG educational tools and develop a framework for SG education development to promote self-management activities and behavior change in children with chronic diseases. METHODS This study consists of a knowledge base and an analytical base. This study followed the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. To build the knowledge base, 5 stages of research were developed, including refining the review question (stage 1), searching for studies (stage 2), selecting relevant studies (stage 3), charting the information (stage 4), and collating the results (stage 5). Eligible studies that developed SG prototypes and evaluated SG education for children with chronic diseases were searched for in PubMed, Embase, Google Scholar, and peer-reviewed journals. In the analytical base, the context-mechanism-output approach and game taxonomy were used to analyze relevant behavioral theories and essential game elements. Game taxonomy included social features, presentation, narrative and identity, rewards and punishment, and manipulation and control. A total of 2 researchers selected the domains for the included behavioral theories and game elements. The intended SG framework was finalized by assembling SG fragments. Those SG fragments were appropriately reintegrated to visualize a new SG framework. RESULTS This scoping review summarized data from 16 randomized controlled trials that evaluated SG education for children with chronic diseases and 14 studies on SG frameworks. It showed that self-determination theory was the most commonly used behavioral theory (9/30, 30%). Game elements included feedback, visual and audio designs, characters, narratives, rewards, challenges, competitions, goals, levels, rules, and tasks. In total, 3 phases of a digital SG framework are proposed in this review: requirements (phase 1), design and development (phase 2), and evaluation (phase 3). A total of 6 steps are described: exploring SG requirements (step 1), identifying target users (step 2), designing an SG prototype (step 3), building the SG prototype (step 4), evaluating the SG prototype (step 5), and marketing and monitoring the use of the SG prototype (step 6). Safety recommendations to use digital SG-based education for children in the post-COVID-19 era were also made. CONCLUSIONS This review summarizes the fundamental behavioral theories and game elements of the available literature to establish a new theory-driven step-by-step framework. It can support game designers, clinicians, and educators in designing, developing, and evaluating digital, SG-based educational tools to increase self-management activities and promote behavior change in children with chronic diseases.
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Affiliation(s)
- Made Ary Sarasmita
- Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan
- Program Study of Pharmacy, Faculty of Mathematics and Science, Udayana University, Badung, Indonesia
| | - Ya-Han Lee
- Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan
- Department of Pharmacy, Wan Fang Hospital, Taipei, Taiwan
| | - Fan-Ying Chan
- Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan
| | - Hsiang-Yin Chen
- Department of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei, Taiwan
- Department of Pharmacy, Wan Fang Hospital, Taipei, Taiwan
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Pervanidou P, Chatzidaki E, Nicolaides NC, Voutetakis A, Polychronaki N, Chioti V, Kitani RA, Kyrkopoulou E, Zarkogianni K, Kalafatis E, Mitsis K, Perakis Κ, Nikita K, Kanaka-Gantenbein C. The Impact of the ENDORSE Digital Weight Management Program on the Metabolic Profile of Children and Adolescents with Overweight and Obesity and on Food Parenting Practices. Nutrients 2023; 15:nu15071777. [PMID: 37049618 PMCID: PMC10097404 DOI: 10.3390/nu15071777] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/29/2023] [Accepted: 04/03/2023] [Indexed: 04/09/2023] Open
Abstract
Childhood obesity is a serious public health problem worldwide. The ENDORSE platform is an innovative software ecosystem based on Artificial Intelligence which consists of mobile applications for parents and health professionals, activity trackers, and mobile games for children. This study explores the impact of the ENDORSE platform on metabolic parameters associated with pediatric obesity and on the food parenting practices of the participating mothers. Therefore, the metabolic parameters of the 45 children (mean age: 10.42 years, 53% girls, 58% pubertal, mean baseline BMI z-score 2.83) who completed the ENDORSE study were evaluated. The Comprehensive Feeding Practices Questionnaire was used for the assessment of food parenting practices. Furthermore, regression analysis was used to investigate possible associations between BMI z-score changes and changes in metabolic parameters and food parenting practices. Overall, there was a statistically significant reduction in glycated hemoglobin (mean change = −0.10, p = 0.013), SGOT (mean change = −1.84, p = 0.011), and SGPT (mean change = −2.95, p = 0.022). Emotional feeding/food as reward decreased (mean change −0.21, p = 0.007) and healthy eating guidance increased (mean change = 0.11, p = 0.051). Linear regression analysis revealed that BMI z-score change had a robust and significant correlation with important metabolic parameters: HOMA-IR change (beta coefficient = 3.60, p-value = 0.046), SGPT change (beta coefficient = 11.90, p-value = 0.037), and cortisol change (beta coefficient = 9.96, p-value = 0.008). Furthermore, healthy eating guidance change had a robust negative relationship with BMI z-score change (beta coefficient = −0.29, p-value = 0.007). Conclusions: The Endorse digital weight management program improved several metabolic parameters and food parenting practices.
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Affiliation(s)
- Panagiota Pervanidou
- First Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, Aghia Sophia Children’s Hospital, 11527 Athens, Greece
| | - Evi Chatzidaki
- First Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, Aghia Sophia Children’s Hospital, 11527 Athens, Greece
| | - Nicolas C. Nicolaides
- First Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, Aghia Sophia Children’s Hospital, 11527 Athens, Greece
| | - Antonis Voutetakis
- Department of Pediatrics, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Nektaria Polychronaki
- First Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, Aghia Sophia Children’s Hospital, 11527 Athens, Greece
| | - Vassiliki Chioti
- First Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, Aghia Sophia Children’s Hospital, 11527 Athens, Greece
| | - Rosa-Anna Kitani
- First Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, Aghia Sophia Children’s Hospital, 11527 Athens, Greece
| | - Eleni Kyrkopoulou
- Department of Economics, University of Piraeus, 18534 Pireas, Greece
| | - Konstantia Zarkogianni
- School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece
| | - Eleftherios Kalafatis
- School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece
| | - Kostas Mitsis
- School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece
| | | | - Konstantina Nikita
- School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece
| | - Christina Kanaka-Gantenbein
- First Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, Aghia Sophia Children’s Hospital, 11527 Athens, Greece
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Zarkogianni K, Chatzidaki E, Polychronaki N, Kalafatis E, Nicolaides NC, Voutetakis A, Chioti V, Kitani RA, Mitsis K, Perakis Κ, Athanasiou M, Antonopoulou D, Pervanidou P, Kanaka-Gantenbein C, Nikita K. The ENDORSE Feasibility Study: Exploring the Use of M-Health, Artificial Intelligence and Serious Games for the Management of Childhood Obesity. Nutrients 2023; 15:1451. [PMID: 36986180 PMCID: PMC10057317 DOI: 10.3390/nu15061451] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/10/2023] [Accepted: 03/14/2023] [Indexed: 03/19/2023] Open
Abstract
Childhood obesity constitutes a major risk factor for future adverse health conditions. Multicomponent parent-child interventions are considered effective in controlling weight. Τhe ENDORSE platform utilizes m-health technologies, Artificial Intelligence (AI), and serious games (SG) toward the creation of an innovative software ecosystem connecting healthcare professionals, children, and their parents in order to deliver coordinated services to combat childhood obesity. It consists of activity trackers, a mobile SG for children, and mobile apps for parents and healthcare professionals. The heterogeneous dataset gathered through the interaction of the end-users with the platform composes the unique user profile. Part of it feeds an AI-based model that enables personalized messages. A feasibility pilot trial was conducted involving 50 overweight and obese children (mean age 10.5 years, 52% girls, 58% pubertal, median baseline BMI z-score 2.85) in a 3-month intervention. Adherence was measured by means of frequency of usage based on the data records. Overall, a clinically and statistically significant BMI z-score reduction was achieved (mean BMI z-score reduction -0.21 ± 0.26, p-value < 0.001). A statistically significant correlation was revealed between the level of activity tracker usage and the improvement of BMI z-score (-0.355, p = 0.017), highlighting the potential of the ENDORSE platform.
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Affiliation(s)
- Konstantia Zarkogianni
- School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece (K.N.)
| | - Evi Chatzidaki
- First Department of Pediatrics, Medical School, National and Kapodistrian University of Athens, Aghia Sophia Children’s Hospital, 11527 Athens, Greece; (E.C.); (P.P.); (C.K.-G.)
| | - Nektaria Polychronaki
- First Department of Pediatrics, Medical School, National and Kapodistrian University of Athens, Aghia Sophia Children’s Hospital, 11527 Athens, Greece; (E.C.); (P.P.); (C.K.-G.)
| | - Eleftherios Kalafatis
- School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece (K.N.)
| | - Nicolas C. Nicolaides
- First Department of Pediatrics, Medical School, National and Kapodistrian University of Athens, Aghia Sophia Children’s Hospital, 11527 Athens, Greece; (E.C.); (P.P.); (C.K.-G.)
| | - Antonis Voutetakis
- Department of Pediatrics, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
| | - Vassiliki Chioti
- First Department of Pediatrics, Medical School, National and Kapodistrian University of Athens, Aghia Sophia Children’s Hospital, 11527 Athens, Greece; (E.C.); (P.P.); (C.K.-G.)
| | - Rosa-Anna Kitani
- First Department of Pediatrics, Medical School, National and Kapodistrian University of Athens, Aghia Sophia Children’s Hospital, 11527 Athens, Greece; (E.C.); (P.P.); (C.K.-G.)
| | - Kostas Mitsis
- School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece (K.N.)
| | | | - Maria Athanasiou
- School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece (K.N.)
| | | | - Panagiota Pervanidou
- First Department of Pediatrics, Medical School, National and Kapodistrian University of Athens, Aghia Sophia Children’s Hospital, 11527 Athens, Greece; (E.C.); (P.P.); (C.K.-G.)
| | - Christina Kanaka-Gantenbein
- First Department of Pediatrics, Medical School, National and Kapodistrian University of Athens, Aghia Sophia Children’s Hospital, 11527 Athens, Greece; (E.C.); (P.P.); (C.K.-G.)
| | - Konstantina Nikita
- School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece (K.N.)
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The Influence of Serious Games in the Promotion of Healthy Diet and Physical Activity Health: A Systematic Review. Nutrients 2023; 15:nu15061399. [PMID: 36986129 PMCID: PMC10056209 DOI: 10.3390/nu15061399] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/06/2023] [Accepted: 03/10/2023] [Indexed: 03/17/2023] Open
Abstract
(1) Background: serious games seem to show promising strategies to promote treatment compliance and motivate behavior changes, and some studies have proven to contribute to the literature on serious games. (2) Methods: this systematic review aimed to analyze the effect of serious games in promoting healthy eating behaviors, effectively preventing childhood obesity, and improving physical activity in children. Five electronic bibliographic databases—PubMed, ACM Digital Library, Games for Health Journal, and IEEE Xplore were used to conduct a systematic literature search based on fixed inclusion and exclusion criteria. Peer-reviewed journal articles published between 2003 and 2021 were selected for data extraction. (3) Results: a total of 26 studies were identified, representing 17 games. Half of the studies tested interventions for healthy eating and physical education. Most of the intervention’s games were designed according to specific behavioral change theories, predominantly the social cognitive theory. (4) Conclusions: studies confirmed the potential of serious games for obesity prevention but considering the restrictions encountered, we exhort for novel designs with different theoretical perspectives.
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Al-Rayes S, Al Yaqoub FA, Alfayez A, Alsalman D, Alanezi F, Alyousef S, AlNujaidi H, Al-Saif AK, Attar R, Aljabri D, Al-Mubarak S, Al-Juwair MM, Alrawiai S, Saraireh L, Saadah A, Al-umran A, Alanzi TM. Gaming elements, applications, and challenges of gamification in healthcare. INFORMATICS IN MEDICINE UNLOCKED 2022. [DOI: 10.1016/j.imu.2022.100974] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Neil-Sztramko SE, Caldwell H, Dobbins M. School-based physical activity programs for promoting physical activity and fitness in children and adolescents aged 6 to 18. Cochrane Database Syst Rev 2021; 9:CD007651. [PMID: 34555181 PMCID: PMC8459921 DOI: 10.1002/14651858.cd007651.pub3] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
BACKGROUND Physical activity among children and adolescents is associated with lower adiposity, improved cardio-metabolic health, and improved fitness. Worldwide, fewer than 30% of children and adolescents meet global physical activity recommendations of at least 60 minutes of moderate to vigorous physical activity per day. Schools may be ideal sites for interventions given that children and adolescents in most parts of the world spend a substantial amount of time in transit to and from school or attending school. OBJECTIVES The purpose of this review update is to summarise the evidence on effectiveness of school-based interventions in increasing moderate to vigorous physical activity and improving fitness among children and adolescents 6 to 18 years of age. Specific objectives are: • to evaluate the effects of school-based interventions on increasing physical activity and improving fitness among children and adolescents; • to evaluate the effects of school-based interventions on improving body composition; and • to determine whether certain combinations or components (or both) of school-based interventions are more effective than others in promoting physical activity and fitness in this target population. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, BIOSIS, SPORTDiscus, and Sociological Abstracts to 1 June 2020, without language restrictions. We screened reference lists of included articles and relevant systematic reviews. We contacted primary authors of studies to ask for additional information. SELECTION CRITERIA Eligible interventions were relevant to public health practice (i.e. were not delivered by a clinician), were implemented in the school setting, and aimed to increase physical activity among all school-attending children and adolescents (aged 6 to 18) for at least 12 weeks. The review was limited to randomised controlled trials. For this update, we have added two new criteria: the primary aim of the study was to increase physical activity or fitness, and the study used an objective measure of physical activity or fitness. Primary outcomes included proportion of participants meeting physical activity guidelines and duration of moderate to vigorous physical activity and sedentary time (new to this update). Secondary outcomes included measured body mass index (BMI), physical fitness, health-related quality of life (new to this update), and adverse events (new to this update). Television viewing time, blood cholesterol, and blood pressure have been removed from this update. DATA COLLECTION AND ANALYSIS: Two independent review authors used standardised forms to assess each study for relevance, to extract data, and to assess risk of bias. When discrepancies existed, discussion occurred until consensus was reached. Certainty of evidence was assessed according to GRADE. A random-effects meta-analysis based on the inverse variance method was conducted with participants stratified by age (children versus adolescents) when sufficient data were reported. Subgroup analyses explored effects by intervention type. MAIN RESULTS Based on the three new inclusion criteria, we excluded 16 of the 44 studies included in the previous version of this review. We screened an additional 9968 titles (search October 2011 to June 2020), of which 978 unique studies were potentially relevant and 61 met all criteria for this update. We included a total of 89 studies representing complete data for 66,752 study participants. Most studies included children only (n = 56), followed by adolescents only (n = 22), and both (n = 10); one study did not report student age. Multi-component interventions were most common (n = 40), followed by schooltime physical activity (n = 19), enhanced physical education (n = 15), and before and after school programmes (n = 14); one study explored both enhanced physical education and an after school programme. Lack of blinding of participants, personnel, and outcome assessors and loss to follow-up were the most common sources of bias. Results show that school-based physical activity interventions probably result in little to no increase in time engaged in moderate to vigorous physical activity (mean difference (MD) 0.73 minutes/d, 95% confidence interval (CI) 0.16 to 1.30; 33 studies; moderate-certainty evidence) and may lead to little to no decrease in sedentary time (MD -3.78 minutes/d, 95% CI -7.80 to 0.24; 16 studies; low-certainty evidence). School-based physical activity interventions may improve physical fitness reported as maximal oxygen uptake (VO₂max) (MD 1.19 mL/kg/min, 95% CI 0.57 to 1.82; 13 studies; low-certainty evidence). School-based physical activity interventions may result in a very small decrease in BMI z-scores (MD -0.06, 95% CI -0.09 to -0.02; 21 studies; low-certainty evidence) and may not impact BMI expressed as kg/m² (MD -0.07, 95% CI -0.15 to 0.01; 50 studies; low-certainty evidence). We are very uncertain whether school-based physical activity interventions impact health-related quality of life or adverse events. AUTHORS' CONCLUSIONS Given the variability of results and the overall small effects, school staff and public health professionals must give the matter considerable thought before implementing school-based physical activity interventions. Given the heterogeneity of effects, the risk of bias, and findings that the magnitude of effect is generally small, results should be interpreted cautiously.
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Affiliation(s)
| | - Hilary Caldwell
- Department of Kinesiology, Child Health & Exercise Medicine Program, McMaster University, Hamilton, Canada
| | - Maureen Dobbins
- School of Nursing, McMaster University, Hamilton, Canada
- National Collaborating Centre for Methods and Tools, Hamilton, Canada
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Fowler LA, Grammer AC, Staiano AE, Fitzsimmons-Craft EE, Chen L, Yaeger LH, Wilfley DE. Harnessing technological solutions for childhood obesity prevention and treatment: a systematic review and meta-analysis of current applications. Int J Obes (Lond) 2021; 45:957-981. [PMID: 33627775 PMCID: PMC7904036 DOI: 10.1038/s41366-021-00765-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 11/24/2020] [Accepted: 01/20/2021] [Indexed: 01/31/2023]
Abstract
BACKGROUND Technology holds promise for delivery of accessible, individualized, and destigmatized obesity prevention and treatment to youth. OBJECTIVES This review examined the efficacy of recent technology-based interventions on weight outcomes. METHODS Seven databases were searched in April 2020 following PRISMA guidelines. Inclusion criteria were: participants aged 1-18 y, use of technology in a prevention/treatment intervention for overweight/obesity; weight outcome; randomized controlled trial (RCT); and published after January 2014. Random effects models with inverse variance weighting estimated pooled mean effect sizes separately for treatment and prevention interventions. Meta-regressions examined the effect of technology type (telemedicine or technology-based), technology purpose (stand-alone or adjunct), comparator (active or no-contact control), delivery (to parent, child, or both), study type (pilot or not), child age, and intervention duration. FINDINGS In total, 3406 records were screened for inclusion; 55 studies representing 54 unique RCTs met inclusion criteria. Most (89%) included articles were of high or moderate quality. Thirty studies relied mostly or solely on technology for intervention delivery. Meta-analyses of the 20 prevention RCTs did not show a significant effect of prevention interventions on weight outcomes (d = 0.05, p = 0.52). The pooled mean effect size of n = 32 treatment RCTs showed a small, significant effect on weight outcomes (d = ‒0.13, p = 0.001), although 27 of 33 treatment studies (79%) did not find significant differences between treatment and comparators. There were significantly greater treatment effects on outcomes for pilot interventions, interventions delivered to the child compared to parent-delivered interventions, and as child age increased and intervention duration decreased. No other subgroup analyses were significant. CONCLUSIONS Recent technology-based interventions for the treatment of pediatric obesity show small effects on weight; however, evidence is inconclusive on the efficacy of technology based prevention interventions. Research is needed to determine the comparative effectiveness of technology-based interventions to gold-standard interventions and elucidate the potential for mHealth/eHealth to increase scalability and reduce costs while maximizing impact.
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Affiliation(s)
- Lauren A. Fowler
- grid.4367.60000 0001 2355 7002Department of Psychiatry, Washington University School of Medicine, St. Louis, MO USA
| | - Anne Claire Grammer
- grid.4367.60000 0001 2355 7002Department of Psychiatry, Washington University School of Medicine, St. Louis, MO USA
| | - Amanda E. Staiano
- grid.250514.70000 0001 2159 6024LSU’s Pennington Biomedical Research Center, Baton Rouge, LA USA
| | - Ellen E. Fitzsimmons-Craft
- grid.4367.60000 0001 2355 7002Department of Psychiatry, Washington University School of Medicine, St. Louis, MO USA
| | - Ling Chen
- grid.4367.60000 0001 2355 7002Division of Biostatistics, Washington University School of Medicine, St. Louis, MO USA
| | - Lauren H. Yaeger
- grid.4367.60000 0001 2355 7002Washington University School of Medicine, St. Louis, MO USA
| | - Denise E. Wilfley
- grid.4367.60000 0001 2355 7002Department of Psychiatry, Washington University School of Medicine, St. Louis, MO USA
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10
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Haga SB. Toward digital-based interventions for medication adherence and safety. Expert Opin Drug Saf 2020; 19:735-746. [DOI: 10.1080/14740338.2020.1764935] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Susanne B Haga
- Duke School of Medicine, Center for Applied Genomics and Precision Medicine, Durham, NC, USA
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11
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Alsalman D, Bu Ali ZM, Alnosaier ZF, Alotaibi NA, Alanzi TM. Gamification for Diabetes Type 1 Management: A Review of the Features of Free Apps in Google Play and App Stores. J Multidiscip Healthc 2020; 13:425-432. [PMID: 32523349 PMCID: PMC7236238 DOI: 10.2147/jmdh.s249664] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 04/19/2020] [Indexed: 01/20/2023] Open
Abstract
PURPOSE The objective of this study was to review most of the existing free m-Health applications (Apps) that use the gamification approach to manage diabetes type 1 in both App and Google Play stores. METHODS Free mobile health applications "apps" that were related to diabetes mellitus have been identified in both App and Google Play stores. In order to cover all the mentioned applications, the following keywords, "game for type 1 diabetes" and "gamification for type 1 diabetes" were used in English and Arabic languages. All applications that were collected in the inclusion process were carefully analyzed, and the game name, game description, game features, game mechanics, game themes, and operating systems were recorded. RESULTS A total of eight gamified applications related to type 1 diabetes were identified. Seven of these applications were in English language and only one application was in Arabic language. The applications were categorized into three main categories based on the theme of the application. The categories were taking care of a character, quizzes, and the storytelling theme. Moreover, there was no application that included the social networking feature. CONCLUSION This study highlighted the most important features of the free mobile health applications "apps" for diabetes type 1 available in Google Play and App stores that can contribute to enhance the self-management of the diabetes condition by patients in Saudi Arabia. The identified applications have important characteristics that can be used in the future for the care and self-control of type 1 diabetic patients in Saudi Arabia.
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Affiliation(s)
- Demah Alsalman
- Health Information Management and Technology Department, College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Zahra M Bu Ali
- Health Information Management and Technology Department, College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Zainab F Alnosaier
- Health Information Management and Technology Department, College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Norah A Alotaibi
- Health Information Management and Technology Department, College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Turki M Alanzi
- Health Information Management and Technology Department, College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
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12
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Holzmann SL, Schäfer H, Groh G, Plecher DA, Klinker G, Schauberger G, Hauner H, Holzapfel C. Short-Term Effects of the Serious Game "Fit, Food, Fun" on Nutritional Knowledge: A Pilot Study among Children and Adolescents. Nutrients 2019; 11:nu11092031. [PMID: 31480257 PMCID: PMC6770093 DOI: 10.3390/nu11092031] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 08/21/2019] [Accepted: 08/27/2019] [Indexed: 01/25/2023] Open
Abstract
“Serious games” are a novel and entertaining approach for nutritional education. The aim of this pilot study was to evaluate the short-term effectiveness of “Fit, Food, Fun” (FFF), a serious game to impart nutritional knowledge among children and adolescents. Data collection was conducted at two secondary schools in Bavaria, Germany. The gameplay intervention (gameplay group; GG) consisted of a 15-minute FFF gameplay session during each of three consecutive days. The teaching intervention (teaching group; TG) was performed in a classic lecture format. Nutritional knowledge was evaluated via questionnaires at baseline and post-intervention. Statistical analyses were performed using R (R Core Team, 2018). In total, baseline data were available for 39 participants in the GG and 44 participants in the TG. The mean age was 13.5 ± 0.7 years in the GG and 12.8 ± 0.9 years in the TG. There was a significant (p-value < 0.001) improvement in nutritional knowledge in both intervention groups. Moreover, a between-group difference with a significantly (p-value = 0.01) higher increase in nutritional knowledge was detected for the TG. This pilot study provides evidence for the short-term effectiveness of both educational interventions on the improvement in nutritional knowledge. Finally, the FFF game might be an adequate educational tool for the transfer of nutritional knowledge among children and adolescents.
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Affiliation(s)
- Sophie Laura Holzmann
- Institute for Nutritional Medicine, Else Kröner-Fresenius-Center for Nutritional Medicine, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 80992 Munich, Germany
| | - Hanna Schäfer
- Research Group Social Computing, Department of Informatics, Technical University of Munich, 85748 Garching, Germany
| | - Georg Groh
- Research Group Social Computing, Department of Informatics, Technical University of Munich, 85748 Garching, Germany
| | - David Alexander Plecher
- Chair for Computer Aided Medical Procedures & Augmented Reality, Department of Informatics, Technical University of Munich, 85748 Garching, Germany
| | - Gudrun Klinker
- Chair for Computer Aided Medical Procedures & Augmented Reality, Department of Informatics, Technical University of Munich, 85748 Garching, Germany
| | - Gunther Schauberger
- Chair of Epidemiology, Department of Sport and Health Sciences, Technical University of Munich, 80992 Munich, Germany
| | - Hans Hauner
- Institute for Nutritional Medicine, Else Kröner-Fresenius-Center for Nutritional Medicine, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 80992 Munich, Germany
| | - Christina Holzapfel
- Institute for Nutritional Medicine, Else Kröner-Fresenius-Center for Nutritional Medicine, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 80992 Munich, Germany.
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