Search Articles

View query in Help articles search

Search Results (1 to 10 of 446 Results)

Download search results: CSV END BibTex RIS


Effectiveness of Walking Prescription Using Mobile Health Technology on the Changes in Daily Steps in Older Adults With Cognitive Impairment: Randomized Controlled Study

Effectiveness of Walking Prescription Using Mobile Health Technology on the Changes in Daily Steps in Older Adults With Cognitive Impairment: Randomized Controlled Study

However, many studies on PA programs using m Health technology have mainly been conducted on young people [19-22]. Although it has also been suggested that PA can be increased in the older population using m Health technology [23], most studies have been conducted on older adults with physical diseases such as cardiovascular disease, diabetes, and obesity without cognitive dysfunction [23-25].

Hee Jung Kim, Yun Jung Hwang, Jee Eun Park, Dong Young Lee

JMIR Aging 2025;8:e63081

Digital Literacy and Its Association With Subjective Health Status and Healthy Lifestyle Behaviors Among Korean Older Adults: Cross-Sectional Study

Digital Literacy and Its Association With Subjective Health Status and Healthy Lifestyle Behaviors Among Korean Older Adults: Cross-Sectional Study

Digital technology initially spread among young people, men, and highly educated people and is gradually spreading to older adults, women, and less educated people. The aging trend and the rapid development of new media technology suggest that older adults will have to use digital technology more in the future [9]. Digital literacy comprises the ability to understand the information generated on a digital device and implement it accordingly [10].

Soon Young Lee, Yejin Kim, Bomgyeol Kim, Sang Gyu Lee, Suk-Yong Jang, Tae Hyun Kim

JMIR Aging 2025;8:e64974

Deep Learning–Based Chronic Obstructive Pulmonary Disease Exacerbation Prediction Using Flow-Volume and Volume-Time Curve Imaging: Retrospective Cohort Study

Deep Learning–Based Chronic Obstructive Pulmonary Disease Exacerbation Prediction Using Flow-Volume and Volume-Time Curve Imaging: Retrospective Cohort Study

Previous studies have demonstrated an independent association between FEV1 and the risk of AE-COPD in both young and old patients with COPD [6,7]. FEV1 is a key predictor of AE-COPD in the majority of existing prediction models [8]. However, its association with exacerbations is relatively weak, limiting its role as a predictive factor [9].

Eun-Tae Jeon, Heemoon Park, Jung-Kyu Lee, Eun Young Heo, Chang Hoon Lee, Deog Kyeom Kim, Dong Hyun Kim, Hyun Woo Lee

J Med Internet Res 2025;27:e69785

Investigating Social Network Peer Effects on HIV Care Engagement Using a Fuzzy-Like Matching Approach: Cross-Sectional Secondary Analysis of the N2 Cohort Study

Investigating Social Network Peer Effects on HIV Care Engagement Using a Fuzzy-Like Matching Approach: Cross-Sectional Secondary Analysis of the N2 Cohort Study

In addition, after the COVID-19 pandemic stay-at-home orders in the United States, social media platforms became an online “home” for many SGM [51,52]; however, further study on social media use by young (ie, 16‐34 years old) Black SGM is warranted. Our findings suggest that, while we did not identify differences in betweenness centrality based on a participant’s HIV care cascade in the partial networks, we did so in the fuzzy-like network.

Cho-Hee Shrader, Dustin T Duncan, Redd Driver, Juan G Arroyo-Flores, Makella S Coudray, Raymond Moody, Yen-Tyng Chen, Britt Skaathun, Lindsay Young, Natascha del Vecchio, Kayo Fujimoto, Justin R Knox, Mariano Kanamori, John A Schneider

JMIR Public Health Surveill 2025;11:e64497

Podcasts in Mental, Physical, or Combined Health Interventions for Adults: Scoping Review

Podcasts in Mental, Physical, or Combined Health Interventions for Adults: Scoping Review

The age distribution of participants spanned from young adulthood (aged ≥18 y) to older adults (aged up to 90 y), with the mean age of participants most commonly between their late 20s to mid-50s. Methodologically, the included studies primarily used randomized controlled trial designs. The assessment periods varied substantially, ranging from immediate posttest intervention evaluations to longitudinal follow-ups (12 months after baseline).

Elizabeth M Dascombe, Philip J Morgan, Ryan J Drew, Casey P Regan, Gabrielle M Turner-McGrievy, Myles D Young

J Med Internet Res 2025;27:e63360