Development and Validation of a Web-based Intervention to Act for Weight Loss for Adults with Type 2 Diabetes and Obesity (Chance2Act): an Intervention Mapping Approach (Preprint)

<sec> <title>BACKGROUND</title> Weight loss can improve metabolic parameters and potentially lead to remission in adults with type 2 diabetes (T2D). However, a large proportion of T2D patients are overweight or obese, with 59% to 79% unready for weight loss. There is a scarcity of stage-matched approaches for this population. </sec> <sec> <title>OBJECTIVE</title> This study aimed to develop and validate a behavioural intervention module targeting T2D adults with obesity who are unready-to-act for weight loss, following the Intervention Mapping (IM) framework. </sec> <sec> <title>METHODS</title> The intervention development was guided by the Intervention Mapping (IM) framework. Step 1 involved the creation of a Logic Model of the Problem to summarize the findings from the needs assessment. Step 2 focused on developing Matrices of Change Objectives, which outlined the preliminary content for the intervention. This content was refined in Step 3, into the final themes, scopes, and activities of the intervention. In Step 4, the content was validated using both Content Validity Index and Face Validity Index to determine the content’s relevance clarity, simplicity and unambiguity of the intervention. Finally, the usability testing of the intervention website was done to ensure it met the recommended standards of website usability. </sec> <sec> <title>RESULTS</title> In Step 1, the Logic Model identified barriers such as poor knowledge, low self-efficacy, and lack of social support. Twenty change objectives were formulated as the preliminary content during Step 2. These content was finalised into four modules with twenty activities in Step 3. In Step 4, the content was produced as the Chance2Act Intervention Manual, with I-CVI, S-CVI/Average, I-FVI, and S-FVI/Average all exceeding 0.9, indicating excellent validity. Usability testing yielded a system usability score of 69.5, surpassing the recommended threshold for website usability. </sec> <sec> <title>CONCLUSIONS</title> The Chance2Act Intervention was developed and validated, providing a tailored approach for behaviour change in T2D adults who are unready-to-act for weight loss. Future research is needed to evaluate its effectiveness and explore its integration into primary care to enhance weight management strategies for this high-risk group. </sec> <sec> <title>CLINICALTRIAL</title> U.S. Clinical Trial Register NCT05736536; https://beta.clinicaltrials.gov/study/NCT05736536 </sec> <sec> <title>INTERNATIONAL REGISTERED REPORT</title> RR2-10.2196/48313 </sec>

Authors

Institutions

Publication Details

Published
2025-08-18
DOI
https://doi.org/10.2196/preprints.82572
Primary Topic
Obesity and Health Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and Validation of a Web-based Intervention to Act for Weight Loss for Adults with Type 2 Diabetes and Obesity (Chance2Act): an Intervention Mapping Approach (Preprint)

Noraini Mohd Saad, Mariam Mohamad, Aimi Nadira Mat Ruzlin, Zahir Izuan Azhar
Obesity and Health Practices
article

Development and Validation of a Web-based Intervention to Act for Weight Loss for Adults with Type 2 Diabetes and Obesity (Chance2Act): an Intervention Mapping Approach (Preprint)

Noraini Mohd Saad, Mariam Mohamad, Aimi Nadira Mat Ruzlin, Zahir Izuan Azhar
article en

Abstract

<sec> <title>BACKGROUND</title> Weight loss can improve metabolic parameters and potentially lead to remission in adults with type 2 diabetes (T2D). However, a large proportion of T2D patients are overweight or obese, with 59% to 79% unready for weight loss. There is a scarcity of stage-matched approaches for this population. </sec> <sec> <title>OBJECTIVE</title> This study aimed to develop and validate a behavioural intervention module targeting T2D adults with obesity who are unready-to-act for weight loss, following the Intervention Mapping (IM) framework. </sec> <sec> <title>METHODS</title> The intervention development was guided by the Intervention Mapping (IM) framework. Step 1 involved the creation of a Logic Model of the Problem to summarize the findings from the needs assessment. Step 2 focused on developing Matrices of Change Objectives, which outlined the preliminary content for the intervention. This content was refined in Step 3, into the final themes, scopes, and activities of the intervention. In Step 4, the content was validated using both Content Validity Index and Face Validity Index to determine the content’s relevance clarity, simplicity and unambiguity of the intervention. Finally, the usability testing of the intervention website was done to ensure it met the recommended standards of website usability. </sec> <sec> <title>RESULTS</title> In Step 1, the Logic Model identified barriers such as poor knowledge, low self-efficacy, and lack of social support. Twenty change objectives were formulated as the preliminary content during Step 2. These content was finalised into four modules with twenty activities in Step 3. In Step 4, the content was produced as the Chance2Act Intervention Manual, with I-CVI, S-CVI/Average, I-FVI, and S-FVI/Average all exceeding 0.9, indicating excellent validity. Usability testing yielded a system usability score of 69.5, surpassing the recommended threshold for website usability. </sec> <sec> <title>CONCLUSIONS</title> The Chance2Act Intervention was developed and validated, providing a tailored approach for behaviour change in T2D adults who are unready-to-act for weight loss. Future research is needed to evaluate its effectiveness and explore its integration into primary care to enhance weight management strategies for this high-risk group. </sec> <sec> <title>CLINICALTRIAL</title> U.S. Clinical Trial Register NCT05736536; https://beta.clinicaltrials.gov/study/NCT05736536 </sec> <sec> <title>INTERNATIONAL REGISTERED REPORT</title> RR2-10.2196/48313 </sec>

Hospital Sungai Buloh (MY)
Openalex Percentile: Top 65%
Obesity and Health Practices
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.