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Sousa IC, Mucinhato RMD, Prates CB, Zanin LM, da Cunha DT, Capriles VD, de Rosso VV, Stedefeldt E. Do Brazilian consumers intend to use food labels to make healthy food choices? An assessment before the front-of-package labelling policy. Food Res Int 2023; 172:113107. [PMID: 37689875 DOI: 10.1016/j.foodres.2023.113107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 06/02/2023] [Accepted: 06/09/2023] [Indexed: 09/11/2023]
Abstract
Front-of-package labelling is a measure that can facilitate consumption of healthier foods. This study examined the predictors of consumers' intentions to use food labelling to make healthy food choices and prevent non-communicable diseases before the implementation of the front-of-package labelling policy in Brazil. An extended theory of planned behaviour incorporating knowledge and food literacy served as the theoretical foundation. First, experts (n = 6) and the target population (n = 30) validated the questionnaire, and the validation data were analysed using content validity coefficients (CVC). An online questionnaire was administered to 783 participants, and data were collected between May and October 2022. Partial least squares structural equation modelling (PLS-SEM) was used to test the prediction hypothesis. The questionnaire showed adequate content validity, with all indicators of CVC ≥ 0.75. In the PLS-SEM attitudes (p < 0.001), subjective norms (p < 0.001), knowledge (p < 0.001), and food literacy (p < 0.001) positively predicted the intention to use food labels to make healthy food choices, confirming the main hypothesis. Also, Food literacy and knowledge predicted all constructs of the theory of planned behaviour (p < 0.001). The results highlight the importance of providing nutritional knowledge and food literacy, developing nutritional skills and abilities to encourage consumers to make healthy food choices, and to strengthen other policies such as front-of-package labelling.
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Affiliation(s)
- Isabel Costa Sousa
- Food Labeling Observatory, Nutrition and Food Service Research Center (CPPNAC), Federal University of São Paulo (UNIFESP), Santos, SP, Brazil.
| | - Raísa Moreira Dardaque Mucinhato
- Postgraduate Program in Nutrition - Federal University of São Paulo - UNIFESP, 862, Botucatu St, Vila Clementino, São Paulo, SP 04024-002, Brazil.
| | - Carolina Bottini Prates
- Postgraduate Program in Nutrition - Federal University of São Paulo - UNIFESP, 862, Botucatu St, Vila Clementino, São Paulo, SP 04024-002, Brazil.
| | - Laís Mariano Zanin
- Health Sciences Department, Ribeirão Preto Medical School, University of São Paulo - USP, 3900 Bandeirantes Av., Monte Alegre, Ribeirão Preto, SP 14049-900, Brazil.
| | - Diogo Thimoteo da Cunha
- Multidisciplinary Laboratory of Food and Health, School of Applied Sciences - State University of Campinas - UNICAMP - SP, 1300, Pedro Zaccaria St., Limeira, SP 13484-350, Brazil.
| | - Vanessa Dias Capriles
- Food Labeling Observatory, Nutrition and Food Service Research Center (CPPNAC), Federal University of São Paulo (UNIFESP), Santos, SP, Brazil; Federal University of São Paulo (UNIFESP), Institute of Health and Society (Campus Baixada Santista), Department of Biosciences, Silva Jardim st, 136, 11015-020, Santos, SP, Brazil.
| | - Veridiana Vera de Rosso
- Food Labeling Observatory, Nutrition and Food Service Research Center (CPPNAC), Federal University of São Paulo (UNIFESP), Santos, SP, Brazil.
| | - Elke Stedefeldt
- Food Labeling Observatory, Nutrition and Food Service Research Center (CPPNAC), Federal University of São Paulo (UNIFESP), Santos, SP, Brazil; Department of Preventive Medicine - Federal University of São Paulo - UNIFESP, 740, Botucatu St, fourth floor, Vila Clementino, São Paulo, SP 04024-002, Brazil.
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Jia L, Zhang Y, Qiao G. Consumer-Related Antecedents of Waste Behavior in Online Food Ordering: A Study among Young Adults in China. Foods 2022; 11:3098. [PMID: 36230177 PMCID: PMC9563288 DOI: 10.3390/foods11193098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 09/22/2022] [Accepted: 10/01/2022] [Indexed: 11/16/2022] Open
Abstract
Food waste in the catering industry currently accounts for almost half of the total food waste in China and entails a large amount of land, water, and labor costs, in addition to the carbon footprint's impacts on climate change. Under the background of increasing food consumption and waste from online catering, this study investigates the factors influencing the food waste behaviors (FW) of online food ordering in China and provides policy recommendations for food waste reduction. Using survey data from 482 consumers, we constructed a theoretical framework and examined the influence path of each factor using structural equation modeling (SEM) and a bootstrap test. The results showed that young consumers without farming experience and females wasted more on ordering food online. The more frequently the consumer ordered, the more they wasted. The level of consumers' perceived behavioral control (PBC) was found to be lower than other factors, indicating that it was difficult for consumers to reduce food waste. Attitudes toward behavior (ATT), subjective norm (SN), PBC, and price consciousness (PC) were all positively related to behavioral intention to reduce food waste (BI). PBC and BI were negatively related to FW, and over-consumption behavior (OC) was positively related to FW. BI had a mediating effect on the paths of ATT, PBC, and PC to FW, but the pathway through which PC influenced FW was primarily through BI or PBC, not OC. In our research, BI had no mediating effect between SN and FW. Ultimately, our findings inform some policy recommendations to help nations, restaurants, food-ordering platforms, and consumers reduce waste.
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Affiliation(s)
- Li Jia
- College of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010000, China
| | - Yaoqi Zhang
- School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, USA
| | - Guanghua Qiao
- College of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010000, China
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