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Thai) 1:
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Data analysisData obtained fromparticipantswere collected using Compusense®five (Release 4.6-SP3, Compusense Inc., Guelph, ON, Canada) and analyzedusing SPSS 20.0 forWindowsTM (IBM SPSS Inc., Chicago, IL, USA).To determine whether lighting colors modulate food perception andconsumption, data were analyzed using a two-way analysis of covariance(ANCOVA) treating lighting color (i.e., white, yellow, and blue)and gender as fixed effects. Two variables measured prior to eating,hunger/fullness status and current mood,were used as covariates, sincethe amount of consumption could be confounded by them. If a significantdifference of means was determined, post hoc comparisonsbetween independent variables were conducted using Fisher’s leastsquare difference (LSD) tests. A statistically significant difference wasdefined as P < 0.05.
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