Purpose An attempt was made to explore the use of nutrition labelling in the Indian context. The purpose of this paper is to study the determinants of healthier food choices, as well as the role of label use in this context. Design/methodology/approach Data were collected from 150 respondents using the survey method and field experiment. The respondents were enquired about various aspects of label use and were asked to make a choice, from two products in three food product categories, on the basis of real information. Multivariate probit models were built for product choice situations. Findings Moderate to low use of nutrition labelling was found. Significant differences in label use were found on the basis of gender (Sugar (p = 0.011), Additives (p = 0.014), Proteins (p = 0.03)) and education (Additives (p = 0.002), Colouring agents (p = 0.003), Transfats (p < 0.001)). Higher label use was leading (p = 0.031) to more likelihood of choosing healthier potato chips. Women reported higher label use (p = 0.004) but were choosing relatively unhealthier health supplement (p = 0.003). Effect of price was not unidirectional in terms of making healthier food choices. It was observed that label use is not solely responsible for aiding the choice of healthier food products. Individual characteristics were playing important role in choice of food products. Practical implications Findings indicate that merely provision of label information is not adequate for the choice of better food options. Provision of labelling information in simple format and equipping the consumers to make effective use of the same carry importance. Originality/value The paper is original and makes an attempt to study the effect of label use, along with the individual characteristics, on healthier food choices. Given the availability of few studies in the domain from the emerging markets, the paper adds to the existing body of knowledge.
Label information on food items is seen as a tool to facilitate better choices. Merely, provision of label information may not lead to the desired outcome. Comprehension and processing of label information during consumer decision making is crucial for better food choices. Based on the primary data obtained from 150 consumers of pre‐packaged food items, the research proposes a conceptual model for healthier food choices. Previously, a number studies related to consumer decision making have employed ‘label reading’ and ‘label use’ interchangeably. Present research advocates that label reading does not amount to label use. Findings from ordered probit model and path analysis suggest that comprehension of label information leads to increase in its perceived usefulness. Further, increased perceived usefulness facilitates better food choice. Instances of better food choices can be maximized by enhancing perceived usefulness and comprehension of label information through educational and awareness campaigns, especially in context of developing countries such as India.
Background: Online health communities (OHC) can be a powerful tool to facilitate communication among patients, professionals and family members who live with or care for someone with a chronic health condition(s). Health Union LLC's OHC model engages, empowers and encourages people to take an active role in their health by providing content that aligns with their needs and interests and by cultivating a safe environment where communication, understanding and meaningful relationships can thrive. OHCs included in this study target people living with multiple sclerosis, migraine, IBS, rheumatoid arthritis, lung cancer, and prostate cancer.Objective: Using qualitative methods we sought to determine if constructs in the Health Union OHC model are supported by themes identified in OHC participant comments. Key components of the model to be tested include: content tailored to needs of community, facilitation, and encouragement of social support, active moderation, opportunities for active and passive engagement, and transparency of community norms and rules.
BACKGROUND Online health communities (OHC) can be a powerful tool to facilitate communication among patients, professionals and family members who live with or care for someone with a chronic health condition(s). Health Union LLC’s OHC model engages, empowers and encourages people to take an active role in their health by providing content that aligns with their needs and interests and by cultivating a safe environment where communication, understanding and meaningful relationships can thrive. OHCs included in this study target people living with multiple sclerosis, migraine, IBS, rheumatoid arthritis, lung cancer, and prostate cancer. OBJECTIVE Using qualitative methods we sought to determine if constructs in the Health Union OHC model are supported by themes identified in OHC participant comments. Key components of the model to be tested include: content tailored to needs of community, facilitation, and encouragement of social support, active moderation, opportunities for active and passive engagement, and transparency of community norms and rules. METHODS A sample of over 5800 comments exported from over 40 Facebook posts from 6 OHCs was analyzed using the Dedoose qualitative data analysis software. Comments from these Facebook posts were extracted, imported into Dedoose software and coded. Interrater reliability of initial coding was calculated using Pearson Correlation Coefficient. An exploratory approach was taken in the analysis and initial codes were grouped into thematic categories and then confirmed through thematic network/framework analysis using the Dedosse software tool. Thematic categories were compared for similarity and differences for each of the 6 OHCs, original post type, and by the extent of active moderation evident in each comment thread. RESULTS Qualitative thematic network analysis of posts and comments from 6 OHCs correspond to the primary components of the Health Union OHC model. This analysis suggests that the structural elements of the OHC model, including active site moderation, support high levels of community engagement and information sharing and mutual support of OHC participants. CONCLUSIONS Qualitative data from the 6 OHCs demonstrates the positive impact the community has on participants, often helping them reframe their health care experience and coping strategies. The principle of adaptive engagement is demonstrated by the thematic network analysis and illustrates the Health Union OHC model constructs. Different community segments have different patterns of engagement. Our primary focus on the content of participant comments in this analysis is a current limitation. While we also examine more passive methods of liking and sharing posts utilized by OHC participants, these may warrant further analysis. This study has practical significance as it helps to demonstrate the value of online health communities for people living with chronic health conditions by providing meaningful engagement, support, and information in an accessible environment.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.