Smartphone Apps and Wearables for Health Parameters in Young Adulthood: Cross-Sectional Study

Findings suggest that Italian young adults, particularly women, predominantly use wearables over apps to track health data, with both being checked on a daily basis. Physical activity is the most frequently monitored domain, likely due to its ease of tracking, while diet and mental health receive less attention. Overall, these tools are used more for monitoring than for actively improving health-related variables. The most valued characteristics identified by young adults include ease of use, free access to all content, and fast loading speed. These insights should guide the design and refinement of digital health interventions targeting this population.

Authors

Institutions

Publication Details

Journal
JMIR Human Factors
Published
2025-05-27
DOI
https://doi.org/10.2196/64629
Citations
4
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
11.26
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smartphone Apps and Wearables for Health Parameters in Young Adulthood: Cross-Sectional Study

Gaia Leuzzi, Marco Testa, Mirko Job, Aldo Scafoglieri
4 citations
JMIR Human Factors
Mobile Health and mHealth Applications
11.26
article

Smartphone Apps and Wearables for Health Parameters in Young Adulthood: Cross-Sectional Study

Gaia Leuzzi, Marco Testa, Mirko Job, Aldo Scafoglieri
article en
4 citations

Abstract

Findings suggest that Italian young adults, particularly women, predominantly use wearables over apps to track health data, with both being checked on a daily basis. Physical activity is the most frequently monitored domain, likely due to its ease of tracking, while diet and mental health receive less attention. Overall, these tools are used more for monitoring than for actively improving health-related variables. The most valued characteristics identified by young adults include ease of use, free access to all content, and fast loading speed. These insights should guide the design and refinement of digital health interventions targeting this population.

JMIR Human FactorsVol. 12
Vrije Universiteit Brussel (BE), Azienda Sanitaria Locale N. 2 Savonese (IT)
Gender equality
Openalex Percentile: Top 2%
Mobile Health and mHealth Applications
11.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Smartphone Apps and Wearables for Health Parameters in Young Adulthood: Cross-Sectional Study — Gaia Leuzzi, Marco Testa, et al. · JMIR Human Factors (2025) | TGRS Research Map | TGRS