Ignite Creation Date:
2025-12-25 @ 12:06 AM
Ignite Modification Date:
2026-02-20 @ 3:33 PM
Study NCT ID:
NCT06467058
Status:
COMPLETED
Last Update Posted:
2024-08-09
First Post:
2024-02-26
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Convergent Validity of DABQ Questionnaire
Sponsor:
University Ghent
Organization:
Study Overview
Official Title:
Convergent Validity of the DABQ Questionnaire With the Actigraph as Reference Method to Assess 24-hour Movement Behaviors Among Adults
Status:
COMPLETED
Status Verified Date:
2024-08
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
DABQ
Brief Summary:
Time-use epidemiology is a rapidly growing research area that aims to understand how individuals allocate their time to various activities throughout the day. Accurate assessment of daily activity behaviors, such as sleep, sedentary behavior (SB), light physical activity (LPA), and moderate to vigorous physical activity (MVPA), is crucial for studying the associations between activity patterns and health outcomes. To gather this information, researchers often rely on self-report questionnaires and objective measures, such as accelerometers, to provide a comprehensive understanding of individuals' activity levels.
Recently, a validated questionnaire known as the Daily Activity Behavior Questionnaire (DABQ) has been developed. In a study comparing DABQ estimates with the activPAL4 accelerometer (as the reference method), good results regarding absolute agreement and consistency were obtained for sleep duration (ICC 0.6), while the absolute agreement and consistency for SB, LPA, and MVPA estimates was lower (ICC ranging from 0.22-0.47).
It should be noted that this study acknowledges the limitation of not treating the data as compositional data. Compositional data analysis accounts for the relative distribution of different activities and avoids the assumption of independence between behaviors. Additionally, the activPAL4 accelerometer used as the reference method in the study had its own strengths and weaknesses when compared to other objective measures, such as the Actigraph. Where ActivPAL4 is more used to differentiate between sitting and standing, Actigraph is able to better classify activity intensities. Moreover, as recommended in different research, I use the Actigraph in my PhD to objectively asses 24-hour movement behaviors.
Given these considerations, the aim of this study is to validate the DABQ against the Actigraph as the reference method. Furthermore, this study aims to analyze the data as compositional data, which would provide a more comprehensive understanding of the interrelatedness of behaviors. The hypothesis is that there will be moderate convergent validity between the DABQ and Actigraph, allowing for accurate assessment of sleep duration, SB, LPA, and MVPA. By establishing the validity of the DABQ and considering the data as compositional, researchers can utilize this questionnaire in time-use epidemiology studies, which could be seen as an easy to use and cost-effective measurement method.
Recently, a validated questionnaire known as the Daily Activity Behavior Questionnaire (DABQ) has been developed. In a study comparing DABQ estimates with the activPAL4 accelerometer (as the reference method), good results regarding absolute agreement and consistency were obtained for sleep duration (ICC 0.6), while the absolute agreement and consistency for SB, LPA, and MVPA estimates was lower (ICC ranging from 0.22-0.47).
It should be noted that this study acknowledges the limitation of not treating the data as compositional data. Compositional data analysis accounts for the relative distribution of different activities and avoids the assumption of independence between behaviors. Additionally, the activPAL4 accelerometer used as the reference method in the study had its own strengths and weaknesses when compared to other objective measures, such as the Actigraph. Where ActivPAL4 is more used to differentiate between sitting and standing, Actigraph is able to better classify activity intensities. Moreover, as recommended in different research, I use the Actigraph in my PhD to objectively asses 24-hour movement behaviors.
Given these considerations, the aim of this study is to validate the DABQ against the Actigraph as the reference method. Furthermore, this study aims to analyze the data as compositional data, which would provide a more comprehensive understanding of the interrelatedness of behaviors. The hypothesis is that there will be moderate convergent validity between the DABQ and Actigraph, allowing for accurate assessment of sleep duration, SB, LPA, and MVPA. By establishing the validity of the DABQ and considering the data as compositional, researchers can utilize this questionnaire in time-use epidemiology studies, which could be seen as an easy to use and cost-effective measurement method.
Detailed Description:
None
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: