RESEARCH ARTICLE
Differences in the Model of Eating in the Absence of Hunger Before and During the COVID-19 Pandemic
Anggita Dian Cahyani1 , *, Aulia Iskandarsyah2, Surya Cahyadi2, Wilis Srisayekti2
Article Information
Identifiers and Pagination:
Year: 2023Volume: 16
E-location ID: e18743501242291
Publisher ID: e18743501242291
DOI: 10.2174/0118743501242291231024071127
Article History:
Received Date: 21/12/2022Revision Received Date: 05/09/2023
Acceptance Date: 04/10/2023
Electronic publication date: 29/11/2023
Collection year: 2023
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Introduction:
The obesity rate among adults in Indonesia continues to increase, and even almost doubles in a decade. In the study of eating behavior, one of the causes of obesity is due to eating out of hunger. The study has proposed a conceptual model of eating in the absence of hunger [EAH]. EAH was examined through the influence of eating styles and hedonic hunger. In addition, the mediating role of palatable eating motives and loss of control over eating were also included in the model. In this paper, we mainly focused on the influence of environmental situation namely the occurrence of the COVID-19 pandemic. It was necessary to see whether the COVID-19 pandemic situation would make a difference to the proposed model. The study aimed to compare data taken before COVID-19 with data taken during the COVID-19 pandemic.
Methods:
This study involved 753 respondents who were dominated by female and university students aged 18-25 years who were studying in Jakarta using convenience sampling. Data were collected using a self-report questionnaire. The data before the COVID-19 pandemic was collected in February -March 2020 by paper and pencil. The data during COVID-19 was collected using the online form in June-July 2020. Data were analyzed using multigroup analysis.
Results:
The analysis results denoted that the model proposed was fit with the data even though the two data groups were not invariant.
Conclusion:
This means that special situations, such as the COVID-19 pandemic have an impact on EAH.