scholarly journals Associations Between Digital Health Intervention Engagement, Physical Activity, and Sedentary Behavior: Systematic Review and Meta-analysis

10.2196/23180 ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. e23180
Author(s):  
Matthew Mclaughlin ◽  
Tessa Delaney ◽  
Alix Hall ◽  
Judith Byaruhanga ◽  
Paul Mackie ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Subjective Experience ◽  
Digital Health ◽  
Meta Analysis ◽  
Grey Literature ◽  
Positive Association ◽  
Health Intervention ◽  
Health Interventions ◽  
Vote Counting

Background The effectiveness of digital health interventions is commonly assumed to be related to the level of user engagement with the digital health intervention, including measures of both digital health intervention use and users’ subjective experience. However, little is known about the relationships between the measures of digital health intervention engagement and physical activity or sedentary behavior. Objective This study aims to describe the direction and strength of the association between engagement with digital health interventions and physical activity or sedentary behavior in adults and explore whether the direction of association of digital health intervention engagement with physical activity or sedentary behavior varies with the type of engagement with the digital health intervention (ie, subjective experience, activities completed, time, and logins). Methods Four databases were searched from inception to December 2019. Grey literature and reference lists of key systematic reviews and journals were also searched. Studies were eligible for inclusion if they examined a quantitative association between a measure of engagement with a digital health intervention targeting physical activity and a measure of physical activity or sedentary behavior in adults (aged ≥18 years). Studies that purposely sampled or recruited individuals on the basis of pre-existing health-related conditions were excluded. In addition, studies were excluded if the individual engaging with the digital health intervention was not the target of the physical activity intervention, the study had a non–digital health intervention component, or the digital health interventions targeted multiple health behaviors. A random effects meta-analysis and direction of association vote counting (for studies not included in meta-analysis) were used to address objective 1. Objective 2 used vote counting on the direction of the association. Results Overall, 10,653 unique citations were identified and 375 full texts were reviewed. Of these, 19 studies (26 associations) were included in the review, with no studies reporting a measure of sedentary behavior. A meta-analysis of 11 studies indicated a small statistically significant positive association between digital health engagement (based on all usage measures) and physical activity (0.08, 95% CI 0.01-0.14, SD 0.11). Heterogeneity was high, with 77% of the variation in the point estimates explained by the between-study heterogeneity. Vote counting indicated that the relationship between physical activity and digital health intervention engagement was consistently positive for three measures: subjective experience measures (2 of 3 associations), activities completed (5 of 8 associations), and logins (6 of 10 associations). However, the direction of associations between physical activity and time-based measures of usage (time spent using the intervention) were mixed (2 of 5 associations supported the hypothesis, 2 were inconclusive, and 1 rejected the hypothesis). Conclusions The findings indicate a weak but consistent positive association between engagement with a physical activity digital health intervention and physical activity outcomes. No studies have targeted sedentary behavior outcomes. The findings were consistent across most constructs of engagement; however, the associations were weak.

scholarly journals Associations Between Digital Health Intervention Engagement, Physical Activity, and Sedentary Behavior: Systematic Review and Meta-analysis (Preprint)

2020 ◽  
Author(s):  
Matthew Mclaughlin ◽  
Tessa Delaney ◽  
Alix Hall ◽  
Judith Byaruhanga ◽  
Paul Mackie ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Subjective Experience ◽  
Digital Health ◽  
Meta Analysis ◽  
Grey Literature ◽  
Positive Association ◽  
Health Intervention ◽  
Health Interventions ◽  
Vote Counting

BACKGROUND The effectiveness of digital health interventions is commonly assumed to be related to the level of user engagement with the digital health intervention, including measures of both digital health intervention use and users’ subjective experience. However, little is known about the relationships between the measures of digital health intervention engagement and physical activity or sedentary behavior. OBJECTIVE This study aims to describe the direction and strength of the association between engagement with digital health interventions and physical activity or sedentary behavior in adults and explore whether the direction of association of digital health intervention engagement with physical activity or sedentary behavior varies with the type of engagement with the digital health intervention (ie, subjective experience, activities completed, time, and logins). METHODS Four databases were searched from inception to December 2019. Grey literature and reference lists of key systematic reviews and journals were also searched. Studies were eligible for inclusion if they examined a quantitative association between a measure of engagement with a digital health intervention targeting physical activity and a measure of physical activity or sedentary behavior in adults (aged ≥18 years). Studies that purposely sampled or recruited individuals on the basis of pre-existing health-related conditions were excluded. In addition, studies were excluded if the individual engaging with the digital health intervention was not the target of the physical activity intervention, the study had a non–digital health intervention component, or the digital health interventions targeted multiple health behaviors. A random effects meta-analysis and direction of association vote counting (for studies not included in meta-analysis) were used to address objective 1. Objective 2 used vote counting on the direction of the association. RESULTS Overall, 10,653 unique citations were identified and 375 full texts were reviewed. Of these, 19 studies (26 associations) were included in the review, with no studies reporting a measure of sedentary behavior. A meta-analysis of 11 studies indicated a small statistically significant positive association between digital health engagement (based on all usage measures) and physical activity (0.08, 95% CI 0.01-0.14, SD 0.11). Heterogeneity was high, with 77% of the variation in the point estimates explained by the between-study heterogeneity. Vote counting indicated that the relationship between physical activity and digital health intervention engagement was consistently positive for three measures: subjective experience measures (2 of 3 associations), activities completed (5 of 8 associations), and logins (6 of 10 associations). However, the direction of associations between physical activity and time-based measures of usage (time spent using the intervention) were mixed (2 of 5 associations supported the hypothesis, 2 were inconclusive, and 1 rejected the hypothesis). CONCLUSIONS The findings indicate a weak but consistent positive association between engagement with a physical activity digital health intervention and physical activity outcomes. No studies have targeted sedentary behavior outcomes. The findings were consistent across most constructs of engagement; however, the associations were weak.

scholarly journals Correction: Associations Between Digital Health Intervention Engagement, Physical Activity, and Sedentary Behavior: Systematic Review and Meta-analysis

10.2196/29094 ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. e29094
Author(s):  
Matthew Mclaughlin ◽  
Tessa Delaney ◽  
Alix Hall ◽  
Judith Byaruhanga ◽  
Paul Mackie ◽  
...  
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Sedentary Behavior ◽  
Digital Health ◽  
Meta Analysis ◽  
Health Intervention

scholarly journals Black American and Latinx Parent/Caregiver Participation in Digital Health Obesity Interventions for Children: A Systematic Review

2021 ◽  
Vol 3 ◽  
Author(s):  
Jennifer Sanchez-Flack ◽  
Joanna Buscemi ◽  
Alexander O'Donnell ◽  
Margaret H. Clark Withington ◽  
Marian Fitzgibbon
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Obesity Prevention ◽  
Weight Status ◽  
Digital Health ◽  
Health Intervention ◽  
Health Interventions ◽  
Black American ◽  
Eligibility Criteria ◽  
Prevention Interventions

Parents/caregivers are consistently described as integral targets given their influential role in supporting and managing behaviors such as diet and physical activity. Identifying effective obesity prevention interventions to enhance and sustain parent participation is needed. Digital obesity prevention interventions are a promising strategy to improve parent/caregiver participation. Digital health interventions demonstrate acceptable participation and retention among parents/caregivers. However, our understanding of digital obesity prevention interventions targeting Black American and Latinx parents/caregivers is limited. This systematic review aims to identify Black American and Latinx parents'/caregivers' level of participation in digital obesity prevention and treatment interventions and determine the relationship between parent/caregiver participation and behavioral and weight status outcomes. This review adheres to PRISMA guidelines and is registered in PROSPERO. Eligibility criteria include: intervention delivered by digital technology, targeted Black American and Latinx parents/caregivers of young children (2–12 years), reported parent/caregiver participation outcomes, targeted diet or physical activity behaviors, and randomized controlled trial study design. Searches were conducted in September 2020 in ERIC, PsychInfo, PubMed, and Web of Science. Initial searches returned 499 results. Four reviewers screened records against eligibility criteria and 12 studies met inclusion criteria. Across all studies, parent/caregiver participation ranged from low to high. Only half of the included studies reported significant improvements in behavioral or weight status outcomes for parents/caregivers and/or children. Of these studies, three reported high parental/caregiver participation rates, and three reported high satisfaction rates. These findings suggest that participation and satisfaction may impact behavior change and weight status. The small number of studies indicates that additional research is needed to determine whether engagement or other factors predict responsiveness to the digital health intervention. Our results lay the groundwork for developing and testing future digital health interventions with the explicit goal of parental/caregiver participation and considers the need to expand our digital health intervention research methodologies to address obesity inequities among diverse families better.

scholarly journals Associations between Digital Health Intervention Engagement and Dietary Intake: A Systematic Review

Nutrients ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 3281
Author(s):  
Tessa Delaney ◽  
Matthew Mclaughlin ◽  
Alix Hall ◽  
Sze Lin Yoong ◽  
Alison Brown ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Subjective Experience ◽  
Digital Health ◽  
Grey Literature ◽  
Health Interventions ◽  
User Engagement ◽  
Narrative Synthesis ◽  
Subjective Experiences ◽  
Early Evidence ◽  
The Relationship

There has been a proliferation of digital health interventions (DHIs) targeting dietary intake. Despite their potential, the effectiveness of DHIs are thought to be dependent, in part, on user engagement. However, the relationship between engagement and the effectiveness of dietary DHIs is not well understood. The aim of this review is to describe the association between DHI engagement and dietary intake. A systematic search of four electronic databases and grey literature for records published before December 2019 was conducted. Studies were eligible if they examined a quantitative association between objective measures of engagement with a DHI (subjective experience or usage) and measures of dietary intake in adults (aged ≥18 years). From 10,653 citations, seven studies were included. Five studies included usage measures of engagement and two examined subjective experiences. Narrative synthesis, using vote counting, found mixed evidence of an association with usage measures (5 of 12 associations indicated a positive relationship, 7 were inconclusive) and no evidence regarding an association with subjective experience (both studies were inconclusive). The findings provide early evidence supporting an association between measures of usage and dietary intake; however, this was inconsistent. Further research examining the association between DHI engagement and dietary intake is warranted.

Effectiveness of Digital Health Interventions on Unintentional Injury, Violence, and Suicide: Meta-Analysis

2020 ◽  
pp. 152483802096734
Author(s):  
Mengtong Chen ◽  
Ko Ling Chan
Keyword(s):  
Interpersonal Violence ◽  
Care Delivery ◽  
Digital Health ◽  
Meta Analysis ◽  
Random Effect ◽  
Unintentional Injury ◽  
Health Interventions ◽  
Effect Sizes ◽  
Future Research ◽  
Face To Face

Digital technologies are increasingly used in health-care delivery and are being introduced into work to prevent unintentional injury, violence, and suicide to reduce mortality. To understand the potential of digital health interventions (DHIs) to prevent and reduce these problems, we conduct a meta-analysis and provide an overview of their effectiveness and characteristics related to the effects. We searched electronic databases and reference lists of relevant reviews to identify randomized controlled trials (RCTs) published in or before March 2020 evaluating DHIs on injury, violence, or suicide reduction. Based on the 34 RCT studies included in the meta-analysis, the overall random effect size was 0.21, and the effect sizes for reducing suicidal ideation, interpersonal violence, and unintentional injury were 0.17, 0.24, and 0.31, respectively, which can be regarded as comparable to the effect sizes of traditional face-to-face interventions. However, there was considerable heterogeneity between the studies. In conclusion, DHIs have great potential to reduce unintentional injury, violence, and suicide. Future research should explore DHIs’ successful components to facilitate future implementation and wider access.

scholarly journals Digital Interventions to Support Adolescents and Young Adults With Cancer: Systematic Review

JMIR Cancer ◽  
10.2196/12071 ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. e12071 ◽  
Author(s):  
Lisa McCann ◽  
Kathryn Anne McMillan ◽  
Gemma Pugh
Keyword(s):  
Young Adults ◽  
Cancer Diagnosis ◽  
Subjective Experience ◽  
Emotional Health ◽  
Digital Health ◽  
Health Interventions ◽  
Adolescents And Young Adults ◽  
Research Papers ◽  
Digital Interventions ◽  
Diagnosis Of Cancer

Background The last decade has seen an increase in the number of digital health interventions designed to support adolescents and young adults (AYAs) with cancer. Objective The objective of this review was to identify, characterize, and fully assess the quality, feasibility, and efficacy of existing digital health interventions developed specifically for AYAs, aged between 13 and 39 years, living with or beyond a cancer diagnosis. Methods Searches were performed in PubMed, EMBASE, and Web of Science to identify digital health interventions designed specifically for AYA living with or beyond a cancer diagnosis. Data on the characteristics and outcomes of each intervention were synthesized. Results A total of 4731 intervention studies were identified through the searches; 38 interventions (43 research papers) met the inclusion criteria. Most (20/38, 53%) were website-based interventions. Most studies focused on symptom management and medication adherence (15, 39%), behavior change (15, 39%), self-care (8, 21%), and emotional health (7, 18%). Most digital health interventions included multiple automated and communicative functions such as enriched information environments, automated follow-up messages, and access to peer support. Where reported (20, 53% of studies), AYAs’ subjective experience of using the digital platform was typically positive. The overall quality of the studies was found to be good (mean Quality Assessment Criteria for Evaluating Primary Research Papers from a Variety of Fields scores >68%). Some studies reported feasibility outcomes (uptake, acceptability, and attrition) but were not sufficiently powered to comment on intervention effects. Conclusions Numerous digital interventions have been developed and designed to support young people living with and beyond a diagnosis of cancer. However, many of these interventions have yet to be deployed, implemented, and evaluated at scale.

Digital health technologies for long term self-management of osteoporosis: a systematic review and meta-analysis (Preprint)

2021 ◽  
Author(s):  
Ghada Alhussein ◽  
Leontios Hadjileontiadis
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Digital Health ◽  
Meta Analysis ◽  
Self Management ◽  
Current Status ◽  
Future Research ◽  
Common Chronic Disease ◽  
Health Technologies ◽  
Management Interventions

BACKGROUND Osteoporosis is the fourth most common chronic disease in the world. Adopting preventative measures and effective self-management interventions help in improving bone health. Mobile health (mHealth) technologies can play a key role in osteoporosis patient care and self- management. OBJECTIVE This study presents a systematic review and meta-analysis of the currently available mHealth applications targeting osteoporosis self-management, aiming to determine the current status, gaps and challenges the future research could address, proposing appropriate recommendations. METHODS In this systematic review and meta-analysis, we searched PubMed, Scopus, EBSCO, Web of Science, and IEEExplore databases between Jan 1, 2010 and May 31, 2021, for all English publications that describe apps dedicated to or being useful for osteoporosis, targeting self-management, nutrition, physical activity, risk assessment, delivered on smartphone devices for young and older adults. In addition, a survey of all osteoporosis-related apps available in iOS and Android app stores as of May 31, 2021 was also conducted. Primary outcomes of interest were the prevention or reduction of unhealthy behaviours or improvement in healthy behaviours of the six behaviours. Outcomes were summarised in a narrative synthesis and combined using random-effects meta-analysis. RESULTS In total, 3906 unique articles were identified. Of these, 32 articles met the inclusion criteria and were reviewed in depth. The 32 studies were comprising 14 235 participants, of whom on average 69.5% were female, with a mean age of 49.8 years (SD 17.8). The app search identified 23 relevant apps for osteoporosis self-management. The meta-analysis revealed that mHealth supported interventions resulted in a significant reduction in pain (Hedge’s g -1.09, 95%CI -1.68 to -0.45) and disability (Hedge’s g -0.77, 95%CI -1.59 to 0.05). The post-treatment effect of the digital intervention was significant for physical function (Hedge’s g 2.54, 95%CI -4.08 to 4.08); yet nonsignificant for wellbeing (Hedge’s g 0.17, 95% CI -1.84 to 2.17), physical activity (Hedges’ g 0.09, 95%CI -0.59 to 0.50), anxiety (Hedge’s g -0.29, 95%CI -6.11 to 5.53), fatigue (Hedge’s g -0.34, 95%CI -5.84 to 5.16), calcium (Hedge’s g -0.05, 95%CI -0.59 to 0.50) and vitamin D (Hedge’s g 0.10, 95% CI -4.05 to 4.26) intake, and trabecular score (Hedge’s g 0.06, 95%CI -1.00 to 1.12). CONCLUSIONS Osteoporosis apps have the potential to support and improve the management of the disease and its symptoms; they also appear to be a valuable tool for patients and health professionals. However, the majority of the apps that are currently available lack clinically validated evidence of their efficacy and they most focus on a limited number of symptoms. A more holistic and personalized approach, within a co-creation design ecosystem, is needed.

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