ArticleGlobal journal of health science2015
"I rarely read the label": Factors that Influence Thai Consumer Responses to Nutrition Labels.
Article in Global journal of health science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 23 citations in OpenAlex.
- Article
- Analyzing consumer behaviour towards food and nutrition labeling: A comprehensive review.Heliyon · 2023Review
- Exploration of COVID-19 Pandemic Prevention Behaviors among Healthcare Workers.Healthcare (Basel, Switzerland) · 2023Article
- Status of nutrition labeling knowledge, attitude, and practice (KAP) of residents in the community and structural equation modeling analysis.Frontiers in nutrition · 2023Article
- Knowledge, Attitudes and Practices of Indian Immigrants in Australia towards Oral Cancer and Their Perceived Role of General Practitioners: A Cross-Sectional Study.International journal of environmental research and public health · 2022Article
- Analysis of Chinese Consumers' Nutrition Facts Table Use Behavior Based on Knowledge-Attitude-Practice Model.International journal of environmental research and public health · 2021Article
- The impact of Israel's Front-of-Package labeling reform on consumers' behavior and intentions to change dietary habits.Israel journal of health policy research · 2021Article
- The Relationship between Nutrition Knowledge and Nutrition Facts Table Use in China: A Structural Equation Model.International journal of environmental research and public health · 2021Article
- Determinants of Israeli consumers' decision to use food label information more frequently: a national survey study.Israel journal of health policy research · 2021Article
- Nutrition label experience and consumption of transitional foods among a nationwide cohort of 42,750 Thai adults.British food journal (Croydon, England) · 2017Article
- Nutrition label experience, obesity, high blood pressure, and high blood lipids in a cohort of 42,750 Thai adults.PloS one · 2017Article
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Authors and funding
6 authors at 1 institution in 3 countries.
Funding
Abstract
backgroundThis qualitative study employed the Knowledge-Attitude-Behaviour (KAB) model and Health Belief Model (HBM) to investigate factors influencing Thai consumer decision making about use of nutrition labels. Labels include both Nutrition Information Panels (1998-) and Guideline Daily Amounts labels (2011-).
methodIn-depth interviews were conducted with 34 participants representing two socio-demographic extremes in Thailand--"urban Bangkok" (university educated consumers) and "provincial Ranong" (non-university educated consumers). An integrated KAB-HBM model was used to devise in-depth interviews for a qualitative study using 20 open-ended questions and samples of food package labels. Additional questions arose from the interviews and they lasted 30-45 minutes and were video recorded. The analysis identified recurring themes using Atlas.ti software.
resultsMost participants (n=25) were aware of nutrition labels but a much smaller number (n=10) used and derived any benefit from them. Nutrition label users were classified into 4 groups: A) competent user; B) confused user; C) aware non-user; D) unaware non-user. Better educated participants were better at understanding nutrition labels but not more likely to use labels. Belief that nutrition influences health increased likelihood of using nutrition labels to make decisions about food. Being well-educated and motivated by health concerns increased likelihood of attention to nutrition labels.
conclusionResults are discussed with a view to increasing the use of nutrition labels by Thai consumers. Our findings, drawing on a combination of the KAB and HBM models, can contribute to strategies motivating consumers to use nutrition labels and can provide useful insights for developing promotional strategies.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.