Article ; Online: A validation of a questionnaire to assess consumer attitudes towards artificial sweeteners
Food Quality and Preference. 2023 Jan., v. 103 p.104707-
2023
Abstract: Bearth, Cousin, and Siegrist (2014) Perception of Artificial Sweetener Scale (PASS) has been widely used but has yet to be subject to thorough psychometric evaluation. The current study aimed to assess the factor structure and internal reliability of the ...
Abstract | Bearth, Cousin, and Siegrist (2014) Perception of Artificial Sweetener Scale (PASS) has been widely used but has yet to be subject to thorough psychometric evaluation. The current study aimed to assess the factor structure and internal reliability of the scale, as well as assess its predictive utility. In a pre-registered study, 489 participants (age range 18-86 y) completed the attitudes towards sweeteners scale and a survey assessing their sweetener consumption over the past month. Initial confirmatory factor analysis showed an acceptable to poor fit of the scale largely due to three reverse coded items. Upon their removal model fit was excellent and McDonald's Omega values showed good internal reliability for all subscales. Zero inflated (hurdle) negative binomial regression revealed that higher scores on the risk subscale, lower scores on the benefit subscale, and older age were associated with avoidance of sweeteners. Of those who did consume sweeteners, greater perceived benefit was associated with increased consumption. The current study recommends that a shorter version of the PASS (PASS-23) should be used in future research with this scale showing good psychometric properties. Furthermore, it suggests that if sweetener over sugar consumption is to be encouraged, perceived risk and benefits should be targeted in public health messaging. |
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Keywords | artificial sweeteners ; factor analysis ; food quality ; public health ; questionnaires ; risk ; sugars ; surveys ; Sweeteners ; Artificial ; Attitudes ; Benefit ; Psychometrics |
Language | English |
Dates of publication | 2023-01 |
Publishing place | Elsevier Ltd |
Document type | Article ; Online |
Note | Use and reproduction |
ZDB-ID | 1020221-3 |
ISSN | 0950-3293 |
ISSN | 0950-3293 |
DOI | 10.1016/j.foodqual.2022.104707 |
Database | NAL-Catalogue (AGRICOLA) |
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