Search Articles

View query in Help articles search

Search Results (1 to 10 of 360 Results)

Download search results: CSV END BibTex RIS


Neuromuscular Electrical Stimulation to Maximize Hip Abductor Strength and Reduce Fall Risk in Older Veterans: Protocol for a Randomized Controlled Trial

Neuromuscular Electrical Stimulation to Maximize Hip Abductor Strength and Reduce Fall Risk in Older Veterans: Protocol for a Randomized Controlled Trial

If there is an imbalance between the groups at baseline, the out-of-balance variable will be added as an additional independent variable to the model. We will use Corrected Akaike Information Criterion, a variation of Akaike’s Information Criteria, to select the correlation structure (unstructured, compound symmetry, autoregressive lag 1) that best accounts for the serial autocorrelation of repeated measures from the same subject.

Ben Friedman, Brock A Beamer, Jeffrey Beans, Vicki Gray, Gad Alon, Alice Ryan, Leslie I Katzel, John D Sorkin, Odessa Addison

JMIR Res Protoc 2025;14:e68082

Association of Social Media Recruitment and Depression Among Racially and Ethnically Diverse Metabolic and Bariatric Surgery Candidates: Prospective Cohort Study

Association of Social Media Recruitment and Depression Among Racially and Ethnically Diverse Metabolic and Bariatric Surgery Candidates: Prospective Cohort Study

In the unadjusted model, representing the crude odds, Hispanic participants had odds of 1.17 (95% CI 0.24‐0.71, P=.60) for being recruited via social media, while NHB participants had odds of 0.42 (95% CI 0.65‐2.12, P=.001), with NHW participants serving as the reference group.

Jackson M Francis, Sitapriya S Neti, Dhatri Polavarapu, Folefac Atem, Luyu Xie, Olivia Kapera, Matthew S Mathew, Elisa Marroquin, Carrie McAdams, Jeffrey Schellinger, Sophia Ngenge, Sachin Kukreja, Benjamin E Schneider, Jaime P Almandoz, Sarah E Messiah

JMIR Form Res 2025;9:e58916

Extended Reality (XR) in Pediatric Acute and Chronic Pain: Systematic Review and Evidence Gap Map

Extended Reality (XR) in Pediatric Acute and Chronic Pain: Systematic Review and Evidence Gap Map

Guided by the conceptual model described by Trost et al [118], we categorized studies according to their target population as well as measured outcome targets. Additionally, the risk of bias results were integrated into the evidence and gap map.

Courtney W Hess, Brittany N Rosenbloom, Giulia Mesaroli, Cristal Lopez, Nhat Ngo, Estreya Cohen, Carley Ouellette, Jeffrey I Gold, Deirdre Logan, Laura E Simons, Jennifer N Stinson

JMIR Pediatr Parent 2025;8:e63854

Accuracy of Smartphone-Mediated Snore Detection in a Simulated Real-World Setting: Algorithm Development and Validation

Accuracy of Smartphone-Mediated Snore Detection in a Simulated Real-World Setting: Algorithm Development and Validation

The smartphone-based, acoustical snore detection algorithm used in the Sleep Watch app was developed by the Bodymatter team in-house, using a deep neural net model trained on over 60,000 individually validated, real-world snore and nonsnore sounds. The Sleep Watch snore detection capabilities were then tested against an array of snoring and sleep audio files in a controlled acoustic setting.

Jeffrey Brown, Zachary Mitchell, Yu Albert Jiang, Ryan Archdeacon

JMIR Form Res 2025;9:e67861

Improving Dietary Supplement Information Retrieval: Development of a Retrieval-Augmented Generation System With Large Language Models

Improving Dietary Supplement Information Retrieval: Development of a Retrieval-Augmented Generation System With Large Language Models

DSLD: Dietary Supplement Label Database; NHP: Natural Health Products; i DISK2.0: integrated Dietary Supplement Knowledgebase; LLM: large language model; i DISK2.0-RAG: integrated Dietary Supplement Knowledgebase—retrieval-augmented generation. A total of 4 datasets were collected and preprocessed for the i DISK 2.0. Data from DSLD were downloaded directly from the data release, and the DSLD application programming interface (API) was used to enrich the dietary supplement-related information.

Yu Hou, Jeffrey R Bishop, Hongfang Liu, Rui Zhang

J Med Internet Res 2025;27:e67677

Estimating the Burden of Common Mental Disorders Attributable to Lifestyle Factors: Protocol for the Global Burden of Disease Lifestyle and Mental Disorder (GLAD) Project

Estimating the Burden of Common Mental Disorders Attributable to Lifestyle Factors: Protocol for the Global Burden of Disease Lifestyle and Mental Disorder (GLAD) Project

Model 1: Unadjusted model, with the dietary variable (as listed in Table 2) as the exposure and depression or anxiety as the outcome. Model 2: Minimally adjusted model, with the dietary variable of interest, depression or anxiety, and with baseline mental disorder status (or lifetime history of mental disorders for cross-sectional studies), age, sex, and a measure of socioeconomic status, such as household income, employment status, or education.

Deborah N Ashtree, Rebecca Orr, Melissa M Lane, Tasnime N Akbaraly, Marialaura Bonaccio, Simona Costanzo, Alessandro Gialluisi, Giuseppe Grosso, Camille Lassale, Daniela Martini, Lorenzo Monasta, Damian Santomauro, Jeffrey Stanaway, Felice N Jacka, Adrienne O'Neil

JMIR Res Protoc 2025;14:e65576

Generative AI Models in Time-Varying Biomedical Data: Scoping Review

Generative AI Models in Time-Varying Biomedical Data: Scoping Review

For each modality, we discuss preprocessing, applications, model selection, and challenges and future directions. In the Model Selection sections, we help guide how to choose the appropriate models for this type of data for clinicians who are interested in incorporating Gen AI into their practice. We organize the workflow for choosing an appropriate model for the data and computational resources at hand.

Rosemary He, Varuni Sarwal, Xinru Qiu, Yongwen Zhuang, Le Zhang, Yue Liu, Jeffrey Chiang

J Med Internet Res 2025;27:e59792

Person-Specific Analyses of Smartphone Use and Mental Health: Intensive Longitudinal Study

Person-Specific Analyses of Smartphone Use and Mental Health: Intensive Longitudinal Study

Adopting the Nesselroade et al idiographic filter approach [18], we use p CCA to model each individual’s multivariate repeated measures data. The observed correlation between an individual’s media use and mental health is not static; rather, it depends on the chosen coordinate system, that is, how observed variables are projected onto latent constructs of media use and mental health.

Merve Cerit, Angela Y Lee, Jeffrey Hancock, Adam Miner, Mu-Jung Cho, Daniel Muise, Anna-Angelina Garròn Torres, Nick Haber, Nilam Ram, Thomas N Robinson, Byron Reeves

JMIR Form Res 2025;9:e59875