Developing Nutrition Label Reading Skills: A Web-Based Practice Approach

Virtual dentistry strategy to enhance knowledge, attitudes, and practices in selecting sweetened ultra-processed foods

Education on the selection of low-sugar ultra-processed foods (UPF) plays a crucial role in promoting good oral health. This study aimed to assess the impact of a virtual educational strategy, developed in the field of dentistry, on improve Knowledge, Attitudes, and Practices (KAPs) related to oral health and the appropriate selection of sweet-tasting UPF. A quasi-experimental study with a pre-test and post-test design was conducted, involving parents and caregivers of children and pre-adolescents. Thirteen virtual learning objects (VLO) were delivered via Facebook. To measure the impact of the strategy, a validated instrument was used before the intervention, immediately after, and again six months later to assess Knowledge, Attitudes, and Practices (KAPs) on the subject. The median scores before and after the intervention were compared using the Friedman test for related samples, followed by multiple comparisons with Dunn's test. Participants' KAP levels were analyzed using Pearson's Chi-square test and multiple comparisons of column proportions with Bonferroni correction. Finally, a satisfaction and applicability survey was conducted. A significant improvement (p < 0.01) was observed in the participants' median KAP scores both immediately after the intervention and six months later. A greater number of participants reached the highest level in knowledge (Before (B): 43.8%, Immediately After (IA): 86%, After six months (A6): 81.3%), attitudes (B: 34.2%, IA: 69.4%, A6: 65.2%), and practices (B: 22.5%, IA: 53.7%, A6: 47.3%). Most participants described the course as consistently dynamic, well-organized, and appropriate timing. They also expressed their intention to apply the knowledge in their daily lives. The implemented strategy improved participants' KAPs concerning oral health and the appropriate selection of sweet-tasting UPF. It also resulted in participants' children consuming fewer sweet bakery products, candies, and flavored milk. Additionally, more participants reported consistently reading food labels after the intervention, although this behavior was not adopted by the majority.

Impact of educational intervention in promoting KAP of food label information to make healthier food choices among adolescents in Bangalore City

Background

Increasing adolescent obesity, a reason for the onset of adult chronic diseases, has become an important public health priority. Food choices are impacted by the growing availability of processed and pre-packaged meals, the rise in eating out compared to eating at home, low nutrition literacy, and the inability to evaluate calorie and nutrient information.

Objective

The objective is to assess the current knowledge, attitude, and practice (KAP) of the adolescents regarding food label information to make healthier food choices, to improve their KAP regarding the same through health education using pictorial representation, and to evaluate the effectiveness of the health education.

Materials and Methods

An educational intervention study was performed among 200 adolescent students (13-15 years) in selected schools in Bangalore city. Health education was given using materials like charts, models, and posters in an interactive way. Pre-KAP and post-KAP were assessed using questionnaires.

Results

The study comprised 145 (72.5%) girls and 55 (27.5%) boys with the mean age of 14.02 years. Only 102 (51%) were having knowledge that food labels must be read irrespective of health issues or disease. Only 81 (40.5%) calculated the total nutrient intake before taking food items before intervention, which was increased to 147 (73.5%) post intervention.

Conclusion

The results of the present study successfully proved that nutritional educational intervention by pictorial representation was feasible and successfully improved the understanding and use of food label information for making healthier food choices among adolescents.

Predicting Unreported Micronutrients from Food Labels: A Machine Learning Approach (Preprint)

BACKGROUND

Micronutrient deficiencies represent a major global health issue, with over 2 billion individuals experiencing deficiencies in essential vitamins and minerals. Food labels provide consumers with information regarding the nutritional content of food items and have been identified as a potential tool for improving diets. However, due to governmental regulations and the physical limitations of the labels, food labels often lack comprehensive information about the vitamins and minerals present in foods. As a result, information about most of the micronutrients is absent from existing food labels.

OBJECTIVE

This paper aims to examine the possibility of using machine learning algorithms to predict unreported micronutrients such as vitamin A (retinol), vitamin C, vitamin B1 (thiamin), vitamin B2 (riboflavin), vitamin B3 (niacin), vitamin B6, vitamin B12, vitamin E (alpha-tocopherol), vitamin K, and minerals such as magnesium, zinc, phosphorus, selenium, manganese, and copper from nutrition information provided on existing food labels. If unreported micronutrients can be predicted with acceptable accuracies from existing food labels using machine learning predictive models, such models can be integrated into mobile apps to provide consumers with additional micronutrient information about foods and help them make more informed diet decisions.

METHODS

Data from the Food and Nutrient Database for Dietary Studies (FNDDS) data set, representing a total of 5624 foods, were used to train a diverse set of machine learning classification and regression algorithms to predict unreported vitamins and minerals from existing food label data. For each model, hyperparameters were adjusted, and the models were evaluated using repeated cross-validation to ensure that the reported results were not subject to overfitting.

RESULTS

According to the results, while predicting the exact quantity of vitamins and minerals is shown to be challenging, with regression R² varying in a wide range from 0.28 (for magnesium) to 0.92 (for manganese), the classification models can accurately predict the category ("low," "medium," or "high") level of all minerals and vitamins with accuracies exceeding 0.80. The highest classification accuracies for specific micronutrients are achieved for vitamin B12 (0.94) and phosphorus (0.94), while the lowest are for vitamin E (0.81) and selenium (0.83).

CONCLUSIONS

This study demonstrates the feasibility of predicting unreported micronutrients from existing food labels using machine learning algorithms. The results show that the approach has the potential to significantly improve consumer knowledge about the micronutrient content of the foods they consume. Integrating these predictive models into mobile apps can enhance their accessibility and engagement with consumers. The implications of this research for public health are noteworthy, underscoring the potential of technology to augment consumers' understanding of the micronutrient content of their diets while also facilitating the tracking of food intake and providing personalized recommendations based on the micronutrient content and individual preferences.

Is Better Knowledge about Health Benefits of Dietary Fiber Related to Food Labels Reading Habits? A Croatian Overview

The aim of this cross-sectional study was to determine the associations between health dietary patterns, knowledge, and consumption of dietary fiber (DF) with frequency of food label reading on food products with special reference to DF. The study was conducted in 2536 Croatian adults using an original questionnaire. Multiple linear regression models were used to assess associations between food label reading habits and predictor variables. Our study confirms the association between habits regarding the reading of labels on food products, especially in relation to information about DF with the sociodemographic factors of respondents, dietary food patterns and DF consumption, as well as knowledge and sources of information about DF. Women, individuals with a university-level education, and those living in an urban environment had more frequent labels used. Food habits as well as eating outside of the home were positive predictors while eating fast food was a negative predictor of food label reading. Knowledge about DF, especially about its health benefits, was also associated with food label reading. The interpretation of associations could help with the design of effective public health programs. Targeted education campaigns to educate and sensitize the population about food labeling and monitoring may improve general knowledge about healthy food and its benefits, which include indirect effects on the prevention of non-communicable chronic diseases.

The Effect of an Online Sugar Fact Intervention: Change of Mothers with Young Children

Research indicates that high sugar intake in early childhood may increase risks of tooth decay, obesity and chronic disease later in life. In this sugar fact study, we explored whether an online intervention which focused on comprehensive and useful information about nutrition labels impacted mother's choice of low sugar food. The intervention was developed on the basis of the theory of planned behavior. In total, 122 mothers were recruited. Mothers were divided into an online-only group and a plus group. Knowledge of sugar and nutrition labels, behavioral attitudes, perceived behavioral control, behavioral intentions and behavior towards purchasing low-sugar products with nutrition labels were collected. After the intervention, both groups exhibited significantly enhanced sugar and nutrition label knowledge, perceived behavioral control, behavioral intentions and behavior. Compared to the online-only group, knowledge, perceived behavioral control and behavior of the plus group significantly improved. After the intervention, about 40% of the plus group and 80% of the online-only group still did not know the World Health Organization (WHO) sugar recommendations. Understanding sugar recommendations and using nutrition labels are crucial to help people control calorie and sugar intake. Further research with a larger sample is warranted to evaluate the effects of the intervention on long-term changes in shopping behavior. More efficient and convenient nutrition education is required to increase public awareness of sugar recommendations and help people control calorie and sugar intake.

The relationship between nutrition reading and label use and nutrition knowledge amongst a sample of rural youth studying at a university in South Africa

Background

Within rural communities, quests for understanding consumer behaviour patterns become key, especially given the challenges that exist in such communities. Furthermore, youth consumers are an important cohort in rural communities in South Africa. Yet little empirical work has been conducted in studying their consumptive habits (usually in favour of youths in urban areas).

Aim

This study sought to measure the relationship between nutrition label use and nutrition knowledge amongst a sample of rural youth. This also included ascertaining the roles of demographic variables such as (1) gender and (2) and the number of years in tertiary education in this relationship.

Setting

The study was located within a South African rural context using a sample of rural youths.

Method

A quantitative study was utilised by means of a self-administered questionnaire, involving 150 youths residing in a rural community located in the Eastern Cape province of South Africa. Inferential statistical analysis was conducted using correlation tests, analysis of variance and linear regression.

Results

Three main findings emerged. Firstly, rural youth consumers’ nutrition label use had no significant relationship with nutrition knowledge. Secondly, no significant difference existed by gender concerning nutrition knowledge. Finally, the level of education amongst the rural youth consumers had no relationship with aspects of nutrition knowledge.

Conclusion

Based on the findings, recommendations are made not only for theory and practice but also for policy in relation to both the rural context and for optimal health.

Assessment of an e-training tool for college students to improve accuracy and reduce effort associated with reading nutrition labels

Objective: Nutrition labels are often underutilized due to the time and effort required to read them. We investigated the impact of label-reading training on effort, as well as accuracy and motivation. Participants: Eighty college students (21 men and 59 women). Methods: The training consisted of a background tutorial on nutrition followed by three blocks of practice reading labels to decide which of two foods was the relatively better choice. Label-reading effort was assessed using an eye tracker and motivation was assessed using a 6-item scale of healthy food-choice empowerment. Results: Students showed increases in label-reading accuracy, decreases in label-reading effort, and increases in empowerment. Conclusions: The nutrition label e-training tool presented here, whether used alone or as part of other wellness and health programs, may be an effective way to boost students' label-reading skills and healthy food choices, before they settle into grocery shopping habits.

Effect of Educational Interventions on Understanding and Use of Nutrition Labels: A Systematic Review

The potential for nutrition labels to impact on population health is dependent on consumer ability to understand and use this information. Consumer understanding of this information varies across sociodemographic groups and with different label design formats. Labeling legislation requires consumer education on how to use nutrition labels, and recent mandatory changes to the Nutrition Facts Panel (NFP) are underway to improve comprehensibility. This review aimed to evaluate if educational programs can improve understanding and use of nutrition labels. Database searches were performed to identify interventions which delivered education on nutrition labels with outcomes measuring aspects of comprehension or use. A total of 17 studies were selected for review, including nine randomized and eight cohort studies. The majority of studies were conducted in the United States Study participants included school aged children, older adults, and those with diabetes within a range of intervention types involving taught sessions or web-based education. Whilst outcome measures were heterogenous, all studies reported a statistically significant improvement in one or more outcomes of participant understanding or use of nutrition labels. Aspects such as general nutrition knowledge, health literacy, and program delivery format warrant attention in future research. Education which optimizes comprehension and use of nutrition labels may have the potential to improve the impact of this information on dietary health.

A cross-sectional survey of nutrition labelling use and its associated factors on parents of school students in Shanghai, China

Objective

To understand parents’ knowledge and use of nutrition labelling and to explore its associated factors.

Design

Cross-sectional survey.

Setting

Two schools providing a nine-year educational programme in Putuo District, Shanghai, China, were selected for the study. Information was included on demographic data and knowledge of the Chinese Food Pagoda.

Subjects

Students and their parents (n 1770) participated in a questionnaire survey.

Results

Of questionnaires, 1766 were completed (response rate 99·8 %). Utilization rate of nutrition labelling was 19·3 %. Among 624 parents knowing nutrition labelling, 22·1 % understood all the information included, 70·7 % understood it partially and 7·2 % could not understand it at all. Use of nutrition labelling by parents was related to the following factors (OR; 95 % CI): high educational level of parent (1·465; 1·165, 1·841), parent’s knowledge of the Chinese Food Pagoda (1·333; 1·053, 1·688), parent’s consumption of top three snacks which are unhealthy (1·065; 1·023, 1·109), parent’s assumption that nutrition labelling would affect their choice of food (1·522; 1·131, 2·048), student’s willingness to learn about labels (1·449; 1·093, 1·920) and student’s knowledge and use of labels (2·214; 1·951, 2·513).

Conclusions

Parents’ knowledge and use of nutrition labelling are still at a lower level, and some information included in the nutrition labels is not understood by parents. The forms of the existing nutrition labelling need to be continuously improved to facilitate their understanding and usefulness. It is necessary to establish nutrition projects focusing on education and use of nutrition labels which help parents and their children make the right choices in selecting foods.

An Evaluation of an eHealth Tool Designed to Improve College Students' Label-Reading Skills and Feelings of Empowerment to Choose Healthful Foods

Objective

College students are at risk for poor dietary choices. New skills can empower individuals to adopt healthful behaviors, yet eHealth tools designed to develop food-choice skills, such as label-reading skills, are uncommon. We investigated the effects of web-based label-reading training on college students’ perceptions of healthful food-choice empowerment.

Methods

Students completed label-reading training in which they practiced selecting the more healthful food using nutrition labels. We examined improvements in label-reading accuracy (correct healthfulness decisions) and perceptions of empowerment, using a 6-item scale. Repeated measures ANOVAs and paired-samples t-tests were used to examine changes in accuracy and empowerment across the training session.

Results

In addition to increases in label-reading accuracy with training, we found increases in healthful food-choice empowerment scores. Specifically, the proportion of correct (i.e., more healthful) food choices increased across the three blocks of practice (p = 0.04) and food-choice empowerment scores were about 7.5% higher on average after training (p < 0.001).

Conclusion and implications

Label-reading training was associated with increased feelings of empowerment associated with making healthful food choices. Skill focused eHealth tools may offer an important avenue for motivating behavior change through skill development.

Automatic Classification of Users' Health Information Need Context: Logistic Regression Analysis of Mouse-Click and Eye-Tracker Data

Background

Users searching for health information on the Internet may be searching for their own health issue, searching for someone else’s health issue, or browsing with no particular health issue in mind. Previous research has found that these three categories of users focus on different types of health information. However, most health information websites provide static content for all users. If the three types of user health information need contexts can be identified by the Web application, the search results or information offered to the user can be customized to increase its relevance or usefulness to the user.

Objective

The aim of this study was to investigate the possibility of identifying the three user health information contexts (searching for self, searching for others, or browsing with no particular health issue in mind) using just hyperlink clicking behavior; using eye-tracking information; and using a combination of eye-tracking, demographic, and urgency information. Predictive models are developed using multinomial logistic regression.

Methods

A total of 74 participants (39 females and 35 males) who were mainly staff and students of a university were asked to browse a health discussion forum, Healthboards.com. An eye tracker recorded their examining (eye fixation) and skimming (quick eye movement) behaviors on 2 types of screens: summary result screen displaying a list of post headers, and detailed post screen. The following three types of predictive models were developed using logistic regression analysis: model 1 used only the time spent in scanning the summary result screen and reading the detailed post screen, which can be determined from the user’s mouse clicks; model 2 used the examining and skimming durations on each screen, recorded by an eye tracker; and model 3 added user demographic and urgency information to model 2.

Results

An analysis of variance (ANOVA) analysis found that users’ browsing durations were significantly different for the three health information contexts (P<.001). The logistic regression model 3 was able to predict the user’s type of health information context with a 10-fold cross validation mean accuracy of 84% (62/74), followed by model 2 at 73% (54/74) and model 1 at 71% (52/78). In addition, correlation analysis found that particular browsing durations were highly correlated with users’ age, education level, and the urgency of their information need.

Conclusions

A user’s type of health information need context (ie, searching for self, for others, or with no health issue in mind) can be identified with reasonable accuracy using just user mouse clicks that can easily be detected by Web applications. Higher accuracy can be obtained using Google glass or future computing devices with eye tracking function.