Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Role of Communication in the Nursing Process II: Planning and Implementation

Role of Communication in the Nursing Process II: Planning and Implementation

Several factors are considered while creating a patient's care plan. Motivation is a factor in improving communication, and patients often require encouragement to try different approaches involving significant change. It is essential to involve the patient and family in decisions about the plan of care to determine whether the suggested methods are acceptable. Consider meeting critical comfort and safety needs before introducing new communication methods and techniques. Allow adequate time...

Stress Prevention and Stress Management Techniques VI

Stress Prevention and Stress Management Techniques VI

Adopting a healthier lifestyle often requires overcoming significant challenges, but leveraging psychological, social, and cultural resources can facilitate meaningful change. Effective self-change hinges on understanding and applying key tools such as motivation and goal setting, which help sustain efforts toward long-term health benefits.
Motivation and Self-Determination
Motivation, the driving force behind behavior, plays a pivotal role at every stage of the change process. The research...

Community Based Intervention

Community Based Intervention

Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...

Obesity

Obesity

The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Black Women's Perspectives on Seeking Social Support for Physical Activity: A Qualitative Study.

Behavioral medicine (Washington, D.C.)·2026

Same author

Lifestyle and Metformin Interventions and Risk of Multimorbidity in Adults With Prediabetes.

JAMA·2026

Same author

Predictors of Self-Care Behaviours Among Patients With Chronic Disease: A Multicountry Survey.

Nursing research and practice·2026

Same author

Plant-based diet quality and cardiometabolic biomarkers in pregnant U.S. women.

Nutrition and health·2026

Same author

Social and Environmental Determinants of Stroke Functional Outcome and Strategies to Reduce Inequities: A Scientific Statement From the American Heart Association.

Stroke·2026

Same author

A life course approach to cardiovascular disease prevention.

European journal of cardiovascular nursing·2026

Search research articles

Related Experiment Video

Updated: Jan 14, 2026

Multidisciplinary Approach to Obesity Management: A Case Report

Multidisciplinary Approach to Obesity Management: A Case Report

Published on: May 30, 2025

Engagement with Digital Weight Loss Intervention Components and Weight Outcomes.

Jessica A Whiteley¹, Ashley H Tjaden², Caitlin P Bailey³

¹Exercise and Health Sciences Program, College of Nursing and Health Sciences, University of Massachusetts Boston, 100 Morrissey Blvd, Science Center, 2nd Floor, Boston, MA 02125, USA.

Journal of Technology in Behavioral Science

|October 22, 2025

Summary

Higher engagement with weight loss interventions, especially through social media and personalized feedback, leads to greater weight loss in young adults. Maximizing media use and tailored feedback can improve intervention effectiveness.

Keywords:

Digital intervention Engagement Tailoring Weight loss Young adults

More Related Videos

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

Published on: September 18, 2018

Related Experiment Videos

Last Updated: Jan 14, 2026

Multidisciplinary Approach to Obesity Management: A Case Report

Multidisciplinary Approach to Obesity Management: A Case Report

Published on: May 30, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

Published on: September 18, 2018

Area of Science:

Behavioral science
Public health
Digital health

Background:

Weight loss interventions often struggle with sustained engagement.
Understanding how engagement with specific components impacts outcomes is crucial for optimizing digital health tools.

Purpose of the Study:

To analyze the relationship between engagement with individual intervention components and weight loss outcomes in young adults.
To identify which components of a digital weight loss intervention are most strongly associated with successful weight loss.

Main Methods:

Secondary analysis of a randomized controlled trial involving 354 young adults.
Intervention components included targeted/tailored content via Facebook, text messaging, and feedback reports.
Engagement was measured weekly, and participants were categorized into low, moderate, and high engagement tertiles.

Main Results:

Overall engagement decreased over 6 months but was significantly related to weight loss (p < 0.01).
High-engagement participants lost 1.8 kg more than low-engagement participants (p < 0.01).
Increased Facebook engagement (month 1) and feedback report engagement (6 months) were associated with greater weight loss, particularly within targeted and tailored groups, respectively.

Conclusions:

Engagement with digital weight loss interventions is positively associated with weight loss outcomes.
Personalized feedback and social media components appear particularly effective in driving weight loss.
Future interventions should focus on maximizing user engagement with media and tailored feedback to enhance efficacy.