Burst-pause criterion derivation for drinkometer measurements of ingestive behavior.
Burst-pause criterion
Drinkometer
Ingestive behavior
Obesity
Weight loss
Journal
MethodsX
ISSN: 2215-0161
Titre abrégé: MethodsX
Pays: Netherlands
ID NLM: 101639829
Informations de publication
Date de publication:
2022
2022
Historique:
received:
23
02
2022
accepted:
05
05
2022
entrez:
27
5
2022
pubmed:
28
5
2022
medline:
28
5
2022
Statut:
epublish
Résumé
The drinkometer is a promising device for the study of ingestive behavior of liquid meals in humans. It can be used to investigate behavior in different target populations. However, ingestive behavior has a great variability across study participants. Therefore, a new analytical approach is required for the extraction and analysis of drinkometer-derived data that could account for this variability. We developed an optimized protocol to predict an optimal burst-pause criterion (PC) for the extraction of PC-dependent microstructural parameters of ingestive behavior. These describe the microstructure of bursts, while PC-independent parameters describe the microstructure of sucks. Therefore, a PC is required to analyze separately two physiologically different parts of behavior. To accomplish this burst-pause criterion derivation (BPCD), a Gaussian Mixture Model (GMM) was built for estimation of two probability density functions (PDFs). These model the distribution of inter-suck intervals (ISIs) and inter-burst intervals (IBIs), respectively. The PC is defined at the intersection point of the two density functions. A Kaplan-Meier (KM) survival analysis was performed for post-hoc verification of the fit of the predicted optimal PC to the ISI distribution. In this protocol paper, we present a walkthrough of the data analysis of drinkometer-derived data for the measurement of microstructure of ingestive behavior based on previous results published by our group [1].•Standardization of the burst-pause criterion derivation for drinkometer measurements of ingestive behavior.•All codes are publicly available in a repository.•The method can be easily adapted to studies with larger sample size or more than one study stimulus.
Identifiants
pubmed: 35620756
doi: 10.1016/j.mex.2022.101726
pii: S2215-0161(22)00107-8
pmc: PMC9127353
doi:
Types de publication
Journal Article
Langues
eng
Pagination
101726Informations de copyright
© 2022 Published by Elsevier B.V.
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