Body composition, blood pressure, estimated maximal oxygen uptake (VO_2max), lung function, physical activity, muscle architecture, and endothelial function had not previously been examined in people with young onset dementia. Therefore, the study measured these variables in a young onset dementia group, compared them to age-matched controls. Estimated VO_2max (via the Astrand-Rhyming test), body composition, blood pressure, lung function (via spirometry), muscle architecture (via ultrasonography) and endothelial function (via flow mediated dilation) were assessed. Physical activity was measured using ActiGraph accelerometers for 7 days. We recruited 33 participants (16 young onset dementia, 17 controls). The young onset dementia group had shorter fascicle lengths of the vastus lateralis, were sedentary for longer over a seven-day period, and completed less moderate-vigorous physical activity than controls (p=0.028, d=0.81; large effect, p=0.029, d=0.54; moderate effect, and p=0.014, d=0.97; large effect, respectively for pairwise comparisons). Pairwise comparisons suggest no differences at the p<0.05 level between young onset dementia and controls for estimated VO_2max (despite a moderate effect size [d=0.66]), height, body mass, BMI, blood pressure, light physical activity, lung function, muscle thickness, pennation angle, or endothelial function. This study highlights differences between people with young onset dementia and controls, underscoring the need for multicomponent exercise interventions. Future interventions should target muscle architecture, increase moderate-vigorous physical activity, and reduce sedentariness, with the goal of improving quality of life and promoting functional independence.

Background: Sarcopenia, the age-related decline in muscle mass and strength, poses a significant threat to functional independence in older adults. Despite strong evidence supporting resistance training as a preventive and therapeutic strategy, adherence to muscle-strengthening guidelines remains low. Mobile health (mHealth) technologies offer a promising avenue to bridge this gap; however, few apps are tailored to older adults or designed with their input. Objective: This study aimed to identify key features that a muscle-strengthening exercise app should include to enhance engagement and uptake among older adults. Secondary aims were to explore perceived barriers and facilitators to app use and to inform the development of an evidence-based, co-designed mHealth intervention. Methods: We used a qualitative co-design approach, involving 4 focus groups with 18 older adults (aged 60-83 years); each group comprised 3 to 6 older adults, stratified by experience with mHealth apps. Sessions were conducted online via Microsoft Teams and guided by a semistructured protocol informed by prior mHealth research and behavior change theory. Transcripts were analyzed using deductive thematic analysis, underpinned by the Technology Acceptance Model, focusing on perceived usefulness and perceived ease of use. Results: A total of 4 overarching themes and 10 subthemes were identified. Theme 1, mHealth as a tool for supporting health and well-being, highlighted participants’ recognition of digital tools in promoting activity and overcoming accessibility barriers. Theme 2, motivation and engagement through app features, revealed the importance of reminders, progress tracking, and feedback, although views on gamification were mixed. Theme 3, drawbacks of current mobile apps, captured concerns around complexity, poor usability, and lack of age-appropriate content, with skepticism regarding safety and evidence base. Theme 4, desired app elements and features, emphasized the need for customizable reminders, clear instructional videos, adaptable exercise options, and optional social features. Participants stressed the importance of simplicity, personalization, and relatable content to foster trust and sustained engagement. Conclusions: Older adults are receptive to mHealth interventions for muscle-strengthening when design is user centered and grounded in their lived experiences. This study provides a framework for future app development, highlighting the need for intuitive interfaces, personalized features, and credible educational content. By aligning design with Technology Acceptance Model constructs and co-design principles, mHealth apps can better support healthy aging and sarcopenia prevention. These findings offer actionable guidance for developers and researchers aiming to enhance digital health equity and effectiveness in older populations. Trial Registration: Open Science Framework 10.17605/OSF.IO/J64ER; https://osf.io/j64er/overview

The cumulative global incidence of long COVID is around 400 million individuals, yet effective treatment options remain limited. A recent systematic review published in 2025 highlighted promising results for non-invasive brain stimulation in alleviating long COVID symptoms. Given the growing use of repetitive transcranial magnetic stimulation (rTMS) for people with long COVID, a focused meta-analysis on the therapeutic effectiveness of rTMS is warranted. To address this gap, this protocol outlines the planned procedures for a systematic review and meta-analysis. A comprehensive search will be conducted across CINAHL Ultimate, MEDLINE, ScienceDirect, and Scopus. Retrieved studies will be managed using Rayyan, with two independent reviewers screening titles and abstracts, followed by full-text review. Data extraction will follow PRISMA and Cochrane guidelines using a standardised form, with dual independent extraction and reconciliation of discrepancies. Risk of bias will be assessed using Cochrane RoB 2.0. Meta-analytical procedures will include calculation of standardised effect sizes (e.g., Hedges’ g), use of random-effects models, and assessment of heterogeneity via I², Cochran’s Q, and tau². Subgroup and moderator analyses will explore variations in rTMS protocols, participant characteristics, and symptom domains. Sensitivity analyses and meta-regression will be conducted where data permit. Results will be visualised using forest and funnel plots, and the GRADE framework will be used to assess the quality of evidence.

Objective: To synthesise quantitative evidence on the effectiveness of Transcranial Magnetic Stimulation (TMS) as an intervention for individuals with long COVID/post-COVID syndrome. Introduction: An estimated 65 million people worldwide meet the WHO’s criteria for post-COVID-19 condition, a multisystem disorder with persistent symptoms following SARS-CoV-2 infection. Despite its global impact, effective treatments are limited. A recent review highlighted early but promising results from non-invasive brain stimulation techniques, including transcranial magnetic stimulation (TMS), though the underlying mechanisms remain unclear. Given the expanding use of TMS in long COVID, a follow-up meta-analysis is needed to reflect recent developments. This review aims to evaluate the efficacy of TMS in treating post-COVID-19 symptoms. Inclusion criteria: This review will include studies that investigate interventions involving TMSin individuals diagnosed with long COVID or post-COVID syndrome, limited to those published in the English language. Studies will be excluded if they do not involve rTMS as a therapeutic intervention, do not involve TMS at all, focus on populations other than those with long COVID or post-COVID condition, are review articles or case studies, or are not published in English. Methods: A comprehensive search will be conducted in CINAHL Ultimate, MEDLINE, ScienceDirect, and Scopus using a strategy developed with the research team. Retrieved citations will be managed in Rayyan. Two independent reviewers will screen titles and abstracts, followed by full-text screening and data extraction by two other independent reviewers. All stages will follow predefined, pilot-tested inclusion and exclusion criteria. Discrepancies will be resolved by a third reviewer or team discussion. Intra-rater reliability at both screening stages will be assessed using Cohen’s Kappa. Study characteristics and findings will be presented using both narrative synthesis and tabular formats. Review registration: https://doi.org/10.17605/OSF.IO/RE235

Objective: To synthesise quantitative evidence on the validity of photoplethysmography (PPG) derived from mobile devices (i.e. smartphones) for the assessment of heart rate (HR) compared to the gold standard electrocardiogram (ECG). Introduction: Mobile health (mHealth), the use of mobile devices for promotion or measurement of health is on the rise. Smartphone cameras can perform photoplethysmography (PPG) for the assessment of heart rate (HR) and other cardiac cycle characteristics. However, rigorous validity is necessary before smartphone measurement of PPG can be utilized for healthcare provision. There is a pervasive belief that HR-PPG is analogous to HR-ECG, and herein we will provide an updated systematic review and meta-analysis to support or challenge this supposition. Inclusion criteria: This review will include studies that investigate the correlation coefficient between of resting heart rate (RHR) acquisition from PPG utilizing contact-based smartphone devices versus ECG as the gold standard, Studies will be excluded if they (a) do not use PPG utilizing contact-based smartphone devices (b) compare PPG to another collection method other than ECG, or (c) are review articles or case studies. Methods: A comprehensive literature search will be conducted in CINAHL Ultimate, MEDLINE, ScienceDirect, and Scopus using a search strategy developed in collaboration with the research team. All retrieved citations will be imported into Rayyan for screening and data management. A minimum of two independent reviewers will conduct the title and abstract screening, followed by two independent reviewers who will perform full-text screening and data extraction. All stages will be guided by predefined inclusion and exclusion criteria, which will be pilot tested to ensure consistency and reliability. Any discrepancies will be resolved through discussion with a third reviewer or during a research team meeting. Intra-rater reliability will be quantified at the title and abstract stage, and the full-text review stage using Cohen’s Kappa. To ensure clarity and consistency in the presentation of study characteristics and findings, both narrative synthesis and tabular formats will be employed. Review registration: https://doi.org/10.17605/OSF.IO/83V7A

Background: Mobile health (mHealth), leveraging mobile devices for health measurement and promotion, is rapidly growing. Smartphone cameras can perform photoplethysmography (PPG) to estimate pulse rate (PR) and other features of the cardiac cycle. However, establishing the validity of PR-PPG is essential before it can be adopted for health care applications. There is a pervasive belief that PR-PPG is analogous to heart rate (HR) derived from electrocardiograms (ECGs), and we will conduct a systematic review and meta-analysis to support or challenge this supposition. Objective: This study aims to synthesize quantitative evidence on the validity of PPG derived from mobile devices (ie, smartphones) for the assessment of HR compared with the gold standard ECG assessment. Methods: A comprehensive literature search will be performed on CINAHL Ultimate, MEDLINE, ScienceDirect, and Scopus using a predefined search strategy. All retrieved citations will be imported into Rayyan for screening and data management. A minimum of 2 independent reviewers will conduct the title and abstract screening, followed by 2 independent reviewers who will perform full-text screening and data extraction. All stages will be guided by predefined inclusion and exclusion criteria, which will be pilot-tested to ensure consistency and reliability. Any discrepancies will be resolved through discussion with a third reviewer or during a research team meeting. Intrarater reliability will be quantified at the title and abstract stage and the full-text review stage using Cohen κ. To ensure clarity and consistency in the presentation of study characteristics and findings, both narrative synthesis and tabular formats will be used. This review will include studies that report the association and agreement between resting HR and PR from PPG using contact-based smartphone devices versus ECG as the gold standard. PPG signals will be obtained using a contact-based approach, defined as finger-on-camera measurements with the smartphone’s built-in camera and flash. Studies will be excluded if they (1) do not use PPG using contact-based smartphone devices, (2) compare PPG to another collection method other than ECG, or (3) are review articles or case studies. Results: To inform clinical procedures and future studies, the results will contain data on PR-PPG and HR-ECG association (correlations) and agreement (Bland-Altman analysis), sampling devices, and operating systems. This project is unfunded, and the initial screening is expected to start in the first quarter of 2026, with results anticipated to be published in the first quarter of 2027. The projected timeline for the study includes title and abstract screening from the first quarter of 2026, followed by full-text screening in the second quarter of 2026. Results are anticipated by the third quarter of 2026, with publication expected in the first quarter of 2027. Throughout this period, database searches will be regularly updated to capture any newly published studies meeting the inclusion criteria. Conclusions: This review will provide a comprehensive understanding of the association and agreement between PR-PPG and HR-ECG. The findings may inform future adoption of PR-PPG and HR-ECG with insights into device or setting characteristics for best agreement or association.