Home / Current Issue / Paper 1712671
Impact of Personalized Mobile Applications on Digital Behavior Change for Lifestyle Disease Prevention among Youth
Subject area: Science,Engineering and Technology · Area of research: Digital Health (mHealth), Behavioral Science
DOI: https://doi.org/10.64388/IREV9I6-1712671
Abstract
The prevalence of lifestyle-related diseases including diabetes, obesity, and hypertension continues to escalate among young adults due to sedentary behavior patterns, nutritional deficiencies, and insufficient physical engagement. While mobile health (mHealth) applications present opportunities for promoting behavioral modifications, current solutions often deliver standardized recommendations that fail to address the unique requirements of youth populations. This research proposes the design and assessment of a tailored mobile application specifically targeting individuals aged 18?30 years to foster healthy lifestyle practices, enhance awareness of disease risk factors, and facilitate sustained behavioral transformation. We examine how customization enhances user participation, compliance rates, and preventive health actions through an integrated framework combining exercise programming, dietary counseling, and health education. Drawing upon contemporary systematic reviews demonstrating the efficacy of comprehensive behavior modification strategies, we propose implementing multiple evidence-based behavior change techniques spanning three resource categories. Our methodology encompasses a six-month randomized trial involving 180 participants, contrasting customized versus standardized mHealth approaches. Anticipated results suggest the personalized intervention may yield 1.5?2.0 kg additional weight reduction, alongside marked improvements in sustained engagement and health literacy.
Keywords
Behavior Modification, Chronic Disease Prevention, Mobile Health Technology, User Personalization, Young Adult Health, Digital Interventions
How to cite this paper
@article{1712671,
author = {Roopali Gupta, Anshu, Govind Kashyap, Kanchan Kumari, Priya Raj},
title = {Impact of Personalized Mobile Applications on Digital Behavior Change for Lifestyle Disease Prevention among Youth},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {6},
pages = {753-760},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1712671.pdf},
abstract = {The prevalence of lifestyle-related diseases including diabetes, obesity, and hypertension continues to escalate among young adults due to sedentary behavior patterns, nutritional deficiencies, and insufficient physical engagement. While mobile health (mHealth) applications present opportunities for promoting behavioral modifications, current solutions often deliver standardized recommendations that fail to address the unique requirements of youth populations. This research proposes the design and assessment of a tailored mobile application specifically targeting individuals aged 18?30 years to foster healthy lifestyle practices, enhance awareness of disease risk factors, and facilitate sustained behavioral transformation. We examine how customization enhances user participation, compliance rates, and preventive health actions through an integrated framework combining exercise programming, dietary counseling, and health education. Drawing upon contemporary systematic reviews demonstrating the efficacy of comprehensive behavior modification strategies, we propose implementing multiple evidence-based behavior change techniques spanning three resource categories. Our methodology encompasses a six-month randomized trial involving 180 participants, contrasting customized versus standardized mHealth approaches. Anticipated results suggest the personalized intervention may yield 1.5?2.0 kg additional weight reduction, alongside marked improvements in sustained engagement and health literacy.},
keywords = {Behavior Modification, Chronic Disease Prevention, Mobile Health Technology, User Personalization, Young Adult Health, Digital Interventions},
month = {December},
doi = {https://doi.org/10.64388/IREV9I6-1712671}
}