<abstract xmlns="http://www.w3.org/1999/xhtml">

<sec id="j_sjph-2021-0002_s_006">
<h3>Introduction</h3>
<p>The objective was to develop and validate an instrument that measures different determinants of people’s food choices and simultaneously accounts for a variety of factors: health, emotions, price and availability, society and culture, environment and politics, and marketing and advertising.</p></sec>
<sec id="j_sjph-2021-0002_s_007">
<h3>Methods</h3>
<p>This is a cross-sectional study focusing on food choice determinants. It was carried out in 16 countries in 2017 and 2018. This study included 11,960 volunteer adult participants from different countries. The data was validated using Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM).</p></sec>
<sec id="j_sjph-2021-0002_s_008">
<h3>Results</h3>
<p>Validation using CFA with SEM revealed that multi-factor modelling produced first- and second-order models that could be used to define the EATMOT scale, the first presenting better fitting indices, with the goodness-of-fit and comparative-fit indices very close to 1, as well as root-mean-square-error-of-approximation, root-mean-square-residual and standardised-root-mean-square-residual at practically zero.</p></sec>
<sec id="j_sjph-2021-0002_s_009">
<h3>Conclusion</h3>
<p>The validated EATMOT scale guarantees confidence in the information obtained through this instrument, and can be used in future studies to better understand food choice determinants in different geographical areas and help plan strategies to improve healthy eating patterns and diminish the burden of non-communicable diseases.</p></sec>
</abstract>

Introduction
The objective was to develop and validate an instrument that measures different determinants of people’s food choices and simultaneously accounts for a variety of factors: health, emotions, price and availability, society and culture, environment and politics, and marketing and advertising.

Methods
This is a cross-sectional study focusing on food choice determinants. It was carried out in 16 countries in 2017 and 2018. This study included 11,960 volunteer adult participants from different countries. The data was validated using Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM).

Results
Validation using CFA with SEM revealed that multi-factor modelling produced first- and second-order models that could be used to define the EATMOT scale, the first presenting better fitting indices, with the goodness-of-fit and comparative-fit indices very close to 1, as well as root-mean-square-error-of-approximation, root-mean-square-residual and standardised-root-mean-square-residual at practically zero.

Conclusion
The validated EATMOT scale guarantees confidence in the information obtained through this instrument, and can be used in future studies to better understand food choice determinants in different geographical areas and help plan strategies to improve healthy eating patterns and diminish the burden of non-communicable diseases.

The eating motivations scale (EATMOT): Development and validation by means of confirmatory factor analysis (CFA) and structural equation modelling (SEM)

Slovenian Journal of Public Health

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Lestvica motivov prehranjevanja (EATMOT): Razvoj in validacija instrumenta s konfirmatorno faktorsko analizo (CFA) in modeliranjem strukturnih enačb (SEM)

Introduction
The objective was to develop and validate an instrument that measures different determinants of people’s food choices and simultaneously accounts...

Dimensions	CR	MEV
Health	0.708	0.459
Emotions	0.814	0.524
Convenience	0.647	0.498
Society	0.522	0.257
Environment	0.713	0.397
Marketing	0.709	0.449

Rank	χ²/df	GFI	CFI	RMSEA	RMR	SRMR
First-order model (with modification indices)	25211	0.968	0.943	0.045	0.055	0.044
Second-order model	49.170	0.930	0.881	0.063	0.101	0.086

The eating motivations scale (EATMOT): Development and validation by means of confirmatory factor analysis (CFA) and structural equation modelling (SEM)

Article Category: Research Article

Publié en ligne: 31 déc. 2020

Pages: 4 - 9

Reçu: 22 janv. 2020

Accepté: 05 oct. 2020

DOI: https://doi.org/10.2478/sjph-2021-0002

Mots clés
eating determinants, healthy diet, emotions, feeding behaviour, socio-cultural environment, instrument validation

© 2021 National Institute of Public Health, Slovenia

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1

Figure 2

Parameters for internal consistency evaluation.

Goodness of fit indices of the CFA for the multidimensional models.

The eating motivations scale (EATMOT): Development and validation by means of confirmatory factor analysis (CFA) and structural equation modelling (SEM)

Article Category: Research Article

Publié en ligne: 31 déc. 2020

Pages: 4 - 9

Reçu: 22 janv. 2020

Accepté: 05 oct. 2020

DOI: https://doi.org/10.2478/sjph-2021-0002

Mots cléseating determinants, healthy diet, emotions, feeding behaviour, socio-cultural environment, instrument validation

© 2021 National Institute of Public Health, Slovenia

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Figure 1

Figure 2

Parameters for internal consistency evaluation.

Goodness of fit indices of the CFA for the multidimensional models.

Mots clés
eating determinants, healthy diet, emotions, feeding behaviour, socio-cultural environment, instrument validation