College students experience new pressures and choices as they transition to independent living and can easily develop unhealthy eating habits, resulting in obesity and obesity-related chronic diseases in later life. This study aimed to test the hypothesis that nutrition literacy (NL) mediated the relationship between multi-level factors influencing healthy eating behavior identified from the social-ecological model and healthy eating behavior of college students. A four-part questionnaire was completed by 412 participants recruited from six different four-year universities in Taiwan (effective response rate = 85.8%). Data were analyzed using descriptive statistics, an independent samples t-test, hierarchical multiple regression, and mediation analysis. The results indicated that the students’ mean nutrition literacy score was 4.32 (SD = 0.78, range = 1–6). In the social-ecological framework, nutrition literacy significantly predicted healthy eating behavior (β = 0.28, p < 0.001; ΔF = 32.54, p < 0.001; ΔR² = 0.05) with control variables of background, intrapersonal, interpersonal, environmental, and macrosystem factors. Nutrition literacy mediated the effects of seven factors on healthy eating behavior across four levels. These findings suggested that strengthening influential multi-level factors associated with healthy eating behavior not only enhanced NL, but also improved individuals’ healthy eating behavior.

Objective: This study aimed to investigate the nutrition literacy status of Taiwanese college students and to assess the relationship between nutrition literacy and healthy-eating behaviours. Design: Cross-sectional design with convenience sampling. Setting: Six universities in northern, central and southern Taiwan; both national and private universities were included in each region. Method: A maximum of 220 students was recruited from each university with no more than 45 students from one department. Data were collected using a self-rated nutrition literacy scale and questions about frequency of practising healthy-eating behaviours and demographic information. Results: The mean score for self-rated nutrition literacy was 2.8 (out of 4), and the mean score for healthy-eating behaviours was 3.07 (out of 5). Results of hierarchical regression showed that nutrition literacy explained 17.2% of the total variance of healthy-eating behaviours of college students, controlling for confounding variables. Conclusion: The findings of this study showed that nutrition literacy among college students was not optimal, and there was a positive association between higher levels of nutrition literacy and healthier dietary behaviours. Therefore, identifying methods to increase nutrition literacy among college students is essential to promote healthy-eating behaviours.

Background: As ChatGPT becomes a primary information source for college students, its performance in providing dietary advice is under scrutiny. This study assessed ChatGPT’s performance in providing nutritional guidance to college students. Methods: ChatGPT’s performance on dietary advice was evaluated by 30 experienced dietitians and assessed using an objective nutrition literacy (NL) test. The dietitians were recruited to assess the quality of ChatGPT’s dietary advice, including its NL achievement and response quality. Results: The results indicate that ChatGPT’s performance varies across scenarios and is suboptimal for achieving NL with full achievement rates from 7.50% to 37.56%. While the responses excelled in readability, they lacked understandability, practicality, and completeness. In the NL test, ChatGPT showed an 84.38% accuracy rate, surpassing the NL level of Taiwanese college students. The top concern among the dietitians, cited 52 times in 242 feedback entries, was that the “response information lacks thoroughness or rigor, leading to misunderstandings or misuse”. Despite the potential of ChatGPT as a supplementary educational tool, significant gaps must be addressed, especially in detailed dietary inquiries. Conclusion: This study highlights the need for improved AI educational approaches and suggests the potential for developing ChatGPT teaching guides or usage instructions to train college students and support dietitians.

Unhealthy eating behaviors contribute to obesity and chronic illness. This study examined the relative contributions of a healthy-eater self-schema (a self-conception as a healthy eater) and nutrition literacy on healthy-eating behaviors and whether nutrition literacy was a mediator among Taiwanese college students. A total of 1216 undergraduate students from six universities in Taiwan participated in the study from April to June 2016. Healthy-eating behaviors, nutrition literacy, healthy-eater self-schema and known determinants of eating behaviors (e.g. nutrition-related information, health status, nutrition knowledge needs, sex, year in college and residence) were measured by a self-report questionnaire. A hierarchical multiple regression and mediation analysis were conducted with the known determinants of eating behaviors as covariates. Results showed that a healthy-eater self-schema and nutrition literacy explained 9% and 12% of the variance in healthy-eating behaviors, respectively, and both had unique effects on healthy-eating behaviors. The effect of a healthy-eater self-schema on healthy-eating behaviors was partially mediated through nutrition literacy. Findings suggest that both a healthy-eater self-schema and nutrition literacy should be considered when promoting healthy-eating behaviors. Additionally, nutrition literacy interventions should be tailored to the healthy-eater self-schema status and emphasize the personal relevance of being a healthy-eater to improve the intervention’s effectiveness.

Unhealthy food advertising is an important contributor to childhood obesity. The purpose of this pilot study was to evaluate the impact of a food advertising literacy program that incorporated components of health-promoting media literacy education on fifth-grade children. Participants were 140 fifth-graders (10 and 11 years old) from one school who were randomly divided into three groups. Experimental Group A received a food advertising literacy program, experimental Group B received a comparable knowledge-based nutrition education program and the control group did not receive any nutrition education. Repeated measures analysis of variance and multivariate analysis of covariance were used to test mean changes between pretest, posttest and follow-up on participants’ nutritional knowledge, food advertising literacy and food purchasing behavior. Results showed that, as compared with Group B and the control groups, Group A showed higher nutritional knowledge, food advertising literacy and food purchasing behavior at post-intervention, but had no significant improvements in nutritional knowledge and food purchasing behavior at the 1-month follow-up. Although some improvements were observed, future studies should consider a long-term, settings-based approach that is closely connected with children’s daily lives, as this might be helpful to solidify children’s skills in recognizing, evaluating and understanding unhealthy food advertising.