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Studying dietary intake in daily life through multilevel two-part modelling: a novel analytical approach and its practical application

Ruf, Alea; Neubauer, Andreas B.; Ebner-Priemer, Ulrich 1; Reif, Andreas; Matura, Silke
1 Institut für Sport und Sportwissenschaft (IfSS), Karlsruher Institut für Technologie (KIT)


Understanding which factors influence dietary intake, particularly in daily life, is crucial given the impact diet has on physical as well as mental health. However, a factor might influence whether but not how much an individual eats and vice versa or a factor’s importance may differ across these two facets. Distinguishing between these two facets, hence, studying dietary intake as a dual process is conceptually promising and not only allows further insights, but also solves a statistical issue. When assessing the association between a predictor (e.g. momentary affect) and subsequent dietary intake in daily life through ecological momentary assessment (EMA), the outcome variable (e.g. energy intake within a predefined time-interval) is semicontinuous. That is, one part is equal to zero (i.e. no dietary intake occurred) and the other contains right-skewed positive values (i.e. dietary intake occurred, but often only small amounts are consumed). However, linear multilevel modelling which is commonly used for EMA data to account for repeated measures within individuals cannot be applied to semicontinuous outcomes. A highly informative statistical approach for semicontinuous outcomes is multilevel two-part modelling which treats the outcome as generated by a dual process, combining a multilevel logistic/probit regression for zeros and a multilevel (generalized) linear regression for nonzero values.
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Verlagsausgabe §
DOI: 10.5445/IR/1000138653
Veröffentlicht am 07.10.2021
DOI: 10.1186/s12966-021-01187-8
Zitationen: 1
Web of Science
Zitationen: 1
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Sport und Sportwissenschaft (IfSS)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1479-5868
KITopen-ID: 1000138653
Erschienen in International Journal of Behavioral Nutrition and Physical Activity
Verlag Springer Fachmedien Wiesbaden
Band 18
Heft 1
Seiten 130
Nachgewiesen in Dimensions
Web of Science
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