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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...
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Related Experiment Video

Updated: Oct 7, 2025

Multidisciplinary Approach to Obesity Management: A Case Report
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Published on: May 30, 2025

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Users' Experiences With the NoHoW Web-Based Toolkit With Weight and Activity Tracking in Weight Loss Maintenance:

Elina Mattila1, Susanne Hansen2, Lise Bundgaard2

  • 1VTT Technical Research Centre of Finland Ltd, Espoo, Finland.

Journal of Medical Internet Research
|January 10, 2022
PubMed
Summary

Digital behavior change interventions (DBCIs) require optimization for user experience to ensure effectiveness. The NoHoW Toolkit (TK) showed declining user acceptance and use over 12 months, indicating a need for technical and content improvements.

Keywords:
digital behavior change interventionfocus groupsmixed methodsmobile phonetechnology acceptanceuser experienceweight-loss maintenance

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Area of Science:

  • Digital health interventions
  • Behavior change science
  • Weight management technologies

Background:

  • Digital behavior change interventions (DBCIs) are vital for health promotion.
  • User experience is critical for DBCI adoption and effectiveness.

Purpose of the Study:

  • Evaluate 12-month user experience with the NoHoW Toolkit (TK) for weight loss maintenance.
  • Identify TK strengths, weaknesses, and external adoption factors.
  • Objectively measure TK use and its association with user experience.

Main Methods:

  • Mixed-methods approach within an 18-month randomized controlled trial.
  • Quantitative user experience via electronic questionnaires at 1, 3, 6, and 12 months.
  • Qualitative insights from thematic analysis of open-ended questionnaire items and focus group interviews.
  • Objective use data from TK log files (visits, duration, completion).

Main Results:

  • TK usability rated satisfactory; user acceptance was modest and declined over time.
  • Objectively measured TK use also declined during the trial.
  • Appreciated features included weekly emails, graphs, goal setting, and interactive exercises.
  • Qualitative themes: feature engagement, declining use, external factors, and improvement suggestions.

Conclusions:

  • Long-term user experience necessitates optimizing DBCI technical aspects, appearance, and content.
  • Clear user guidance on intervention use and requirements is essential, particularly for intensive content.