Guideline-based digital exercise interventions for body weight and fat reduction and physical activity promotion in adults with overweight and obesity: A systematic review (Preprint)

Published: March 9, 2025

Digital exercise interventions are increasingly popular in addressing the obesity epidemic. However, there remains uncertainty on efficacy regarding reduction of body weight (BW) and fat, which may, at least partly, be due to variations study designs inconsistent adherence international physical activity (PA) guidelines. This systematic review aimed evaluate effectiveness digital based PA guidelines reducing BW fat overweight/obese adults, as well their impact PA-related factors. was prospectively registered PROSPERO (CRD42024620020) conducted following PRISMA A series comprehensive searches performed October 2024 across PubMed, Cochrane Library, Web Science, OVID Medline. Eligible studies included adults (≥18 years) with objectively confirmed overweight or who utilized aligned Risk bias evaluated using RoB 2 tool for randomized controlled trials ROBINS-I non-randomized studies. Out 4,948 identified through Boolean search strategy, 188 were retrieved full-text screening, 30 met predefined eligibility criteria. Intervention durations ranged from eight weeks 24 months (average: 6.6 months). Fourteen used structured programs, while other incorporated flexible PA/exercise routines intervention programs resulted significant reductions (22/25 studies, range: -1.3 -8.4 kg), mass index (19/23 -0.4 -3.4 kg/m2), waist circumference (15/16 -2.1 -9.2 cm), percentage (9/9 -0.3% -4.1%), (7/7 -6.5 kg). Results waist-to-hip ratio outcomes inconsistent. Compared passive controls, results revealed a clear pattern significantly weight- fat-related outcomes, when measured against active usual care controls. No trend observed between duration type improvements outcome variables. Guideline-based show potential excess obesity, although superiority over traditional methods. Substantial also contribute challenges drawing definitive conclusions specific characteristics effective tools.

Language: Английский

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Preferences of Cancer Survivors and Healthcare Providers for a Physical Activity Application: A Group Concept Mapping Study

Psycho-Oncology, Journal Year: 2025, Volume and Issue: 34(4)

Published: April 1, 2025

Mobile health (mHealth) interventions may help increase physical activity (PA) in diverse groups, including cancer survivors (CSs). Developing an intervention requires a needs assessment of stakeholders, focusing on the preferred features application from perspectives both CSs and healthcare providers (HCPs). Group concept mapping was used for this assessment. A first group stakeholders (CSs: n = 14; HCPs: 12) brainstormed generated statements about app features. second 16; 23) sorted these into thematic clusters rated their importance. The sorting data combined, (dis)similarity matrices were through multidimensional scaling. Rating aggregated overall subgroups (CSs HCPs) at cluster statement level. phase resulted 133 statements, which reduced to 77 distinct Analysis two six clusters, labeled: (1) "Information & Social Support," (2) "Encouragement," (3) "Practical Use," (4) "Self-Monitoring Feedback," (5) "Planning Goals," (6) "Personalization." Both groups Goals" "Personalization" as most important. considered "Encouragement" least important, whereas HCPs Support" lowest. These insights can guide development promote physically active lifestyle among CSs. Applications should prioritize goal setting, planning, personalization enhance user engagement. Diverse functionalities with user-friendly navigation are essential. stakeholder showed similar preferences, reflecting shared vision development.

Language: Английский

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Tirzepatide in the NHS: The known unknowns of treating obesity at a national scale

Diabetes Obesity and Metabolism, Journal Year: 2025, Volume and Issue: unknown

Published: April 8, 2025

Language: Английский

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Precision nutrition for cardiometabolic diseases

Nature Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: April 30, 2025

Language: Английский

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Effect of digital health applications with or without gamification on physical activity and cardiometabolic risk factors: a systematic review and meta-analysis of randomized controlled trials

EClinicalMedicine, Journal Year: 2024, Volume and Issue: unknown, P. 102798 - 102798

Published: Sept. 1, 2024

Language: Английский

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Adolescent behavioural intentions: Secondary outcomes from a cluster randomized controlled trial of the Health4Life school-based lifestyle modification intervention

Can J Public Health, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 19, 2024

Abstract Intervention Health4Life: a school-based eHealth intervention targeting multiple health behaviour change (MHBC). Research question Does Health4Life impact secondary outcomes of self-reported intentions regarding six lifestyle behaviours in adolescents (alcohol use, tobacco smoking, screentime, physical activity, discretionary beverage consumption, and sleep)? Methods We implemented cluster randomized controlled trial within schools across three Australian states. Schools were randomly assigned (1:1) to receive either the intervention, which consisted six-module, web-based program accompanying smartphone app, or an active control (standard education). Randomization was stratified by site school gender composition (using Blockrand R). All students aged 11–13 years who attended participating fluent English eligible. Students completed self-report questionnaires at baseline, post-intervention, 12 months, 24 months. Outcomes try alcohol, tobacco, reduce engage activity on most all days, swap beverages for water, meet sleep guidelines. Mixed effects models estimated between-group differences over Results Immediately significantly reduced alcohol increased longer screentime compared control. persisted months but not No lasting observed consumption. Conclusion shows promise influencing adolescent various MHBC areas, especially immediately after intervention. However, further investigation is needed sustain these intention changes beyond short term facilitate change.

Language: Английский

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The effectiveness of digital physical activity interventions in older adults: a systematic umbrella review and meta-meta-analysis

International Journal of Behavioral Nutrition and Physical Activity, Journal Year: 2024, Volume and Issue: 21(1)

Published: Dec. 18, 2024

Abstract Background Physical activity is important for healthy ageing, however most older adults are inactive. Numerous reviews with a range of inclusion criteria have been conducted on digital interventions to promote physical in adults, and synthesis these needed. Therefore, the objective this study conduct an umbrella review meta-meta-analysis effectiveness adults. Methods Nine databases were searched from January 2010 December 2023. Systematic meta-analyses primary studies using target or clinical populations self-reported device measured outcome eligible inclusion. Results In total, 22 systematic covering 185 research papers The total number participants across all was 28,198. Most (21, 95%) rated as having low critically AMSTAR-2 confidence rating. Of included reviews, 13 (59%) meta-analysis 10 (45%) narrative synthesis. found strong evidence positive effect moderate outcomes (7/9, 78%) steps (3/3, 100%). demonstrated significant small PA MVPA. strength did not vary by intervention components (activity tracker, app-based, SMS/phone, web-based, face-to-face), population (primary secondary prevention), control group (none, other intervention, non-digital intervention), measurement (self-reported measured). Only 3 (14%) longer term follow up after end mixed results. Conclusions Evidence suggests that effective at increasing Further needed 65 years over exclusively, longer-term outcomes. Future should include published protocol interpret results according risk-of-bias.

Language: Английский

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Exploring the Acceptance of Just-in-Time Adaptive Lifestyle Support for People With Type 2 Diabetes: Qualitative Acceptability Study (Preprint)

Published: Aug. 2, 2024

The management of type 2 diabetes (T2D) requires individuals to adopt and maintain a healthy lifestyle. Personalized eHealth interventions can help change their lifestyle behavior. Specifically, just-in-time adaptive (JITAIs) offer promising approach provide tailored support encourage behaviors. Low-effort self-reporting via ecological momentary assessment (EMA) insights into individuals’ experiences environmental factors thus improve JITAI support, particularly for conditions that cannot be measured by sensors. We developed an EMA-driven various personal influencing behavior in with T2D. This study aimed assess the acceptability EMA-driven, In total, 8 T2D used weeks. Participants completed daily EMAs about activity, location, mood, overall condition, weather, cravings received SMS text messaging. was assessed through telephone-conducted, semistructured interviews. Interview topics included EMA content prompts, intervention options, use JITAI. Data were analyzed using hybrid thematic analysis. mean age 70.5 (SD 9) years, BMI 32.1 5.3) kg/m², duration 15.6 7.7) years had high self-efficacy scores physical activity (ie, 32) nutrition 29) mainly initiating or maintaining changes. identified themes related design, decision points, tailoring variables, mechanisms underlying adherence retention. provided positive feedback on several aspects JITAI, such as motivating enjoyable messages appeared well some individuals. However, there notable differences individual regarding intensity perceived personalization messages. easy low burden, but participants felt it too much snapshot little context, reducing options. Challenges timing frequency prompts relevance variables also observed. While found relevant motivating, others less inclined follow advice. expressed need even more personalized specific characteristics circumstances. showed is needed ensure closely fits each individual’s unique needs. Key areas improvement include developing individually interventions, improving methods balance active passive data collection, integrating JITAIs within comprehensive interventions.

Language: Английский

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