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Testing a Dutch web-based tailored lifestyle programme among adults: a study protocol.

Daniela N Schulz¹, Stef Pj Kremers, Liesbeth Adm van Osch

¹Department of Health Promotion, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands. DN.Schulz@maastrichtuniversity.nl

BMC Public Health

|February 18, 2011

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This study compares sequential versus simultaneous tailoring for multiple health behavior change online. Results will inform optimal web-based interventions for healthier lifestyles.

Area of Science:

Health behavior change
Digital health interventions
Lifestyle medicine

Background:

Unhealthy lifestyle behaviors like smoking, excessive alcohol intake, poor diet, and physical inactivity contribute to chronic diseases.
Online interventions are effective for modifying health behaviors.
This study investigates optimizing web-based approaches for multiple behavior change.

Purpose of the Study:

To compare the effectiveness of sequential versus simultaneous tailoring strategies in a web-based intervention for multiple health behavior change.
To evaluate the impact of these strategies against a control group receiving a basic health risk appraisal.
To assess user satisfaction, relevance, and potential subgroup differences.

Main Methods:

A randomized controlled trial involving Dutch adults.

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Two intervention groups: sequential tailoring (addressing one behavior at a time) and simultaneous tailoring (addressing all behaviors at once).

A control group receiving a health risk appraisal. All groups used an internet-based program; experimental groups received tailored feedback and could revisit for ipsative feedback.

Main Results:

The study is designed to test and compare the effectiveness of the different tailoring strategies.
Programme evaluations will assess satisfaction, appreciation, and personal relevance.
Subgroup differences based on gender, age, and socioeconomic status will be analyzed.

Conclusions:

Research on multiple behavior change interventions is emerging.
Findings will guide the optimal delivery of multiple behavior change interventions online.
This study aims to provide new insights into differential lifestyle approaches and subgroup effectiveness in web-based interventions.