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Objectives A campus-based intervention to enhance food literacy (FL) and establish exercise habits among college students was developed and the program’s effectiveness was evaluated. Methods The 13-session program was developed based on the transtheoretical model and social cognitive theory. Junior and senior students majoring in food and nutrition and physical education were asked to participate as mentors, with freshmen and sophomores from varied majors as mentees. The program encompassed food, nutrition, and exercise lessons including cooking sessions. Data were collected via pre- and post-program surveys using a questionnaire consisting of items on FL and nutrition behaviors and physical fitness measurements. Results Among 39 participants (35.9% male, 64.1% female), the overall FL score increased significantly from 64.1 to 70.6 post-program (P = 0.001). Significant increases were observed in the nutrition and safety (P < 0.001), cultural and relational (P = 0.023), and socio-ecological (P = 0.001) domains, as well as knowledge (P = 0.001), self-efficacy (P = 0.013), attitude (P < 0.001), and behavior (P = 0.005) items in three domains of FL. Additionally, meal duration increased significantly (P = 0.007) and sit-up performance among female showed a meaningful change (P = 0.046). Changes in dietary behaviors significantly progressed (P = 0.015) while that in exercise habits approached a marginal significance (P = 0.053) after the intervention. Conclusion The results reveal positive changes in FL and some modifications in eating habits, although the program had limited effects on physical activity and fitness measurements. These findings suggest that strategic approaches to foster exercise behavior changes in college students are required. This pilot program can serve as foundational data for improving and expanding multicomponent health promotion programs for this population.

We investigated factors influencing enrollment choice at fitness centers in South Korea to estimate the relative importance of each factor to the customers. We analyzed data obtained from 283 customers who were enrolled at fitness centers in Seoul. Results were as follows: First, equipment, environment, accessibility, and membership fee were the primary factors that influenced customers' enrollment at fitness centers; second, customers placed membership fee as most important, then environment, accessibility, and equipment, in that order. We also examined the relative importance of choice factors according to how long individuals had been enrolled and exercised at the center. Results indicated that all customers made the same choices for the order of importance of the factors regardless of the length of time they had been enrolled at and using the center. However, results revealed that as the period of time they had been exercising at the center increased, the relative importance of the factors that directly affect exercise environment and equipment increased - that is environment and equipment - whereas the importance of membership fee and accessibility, which do not directly influence exercise, decreased. These results indicate that, for effective customer retention, managers of fitness centers should conduct customer segmentation by taking into consideration how long each individual customer has been coming to exercise at the center, and the factors considered important to each. [ABSTRACT FROM AUTHOR]

For medical diagnosis based on fuzzy relations of diseases and symptoms, max-min composition method and distance-based method are frequently used. However, they often lead to diagnostic confusion and puzzle due to their different results. In this paper, we suggest a new method for medical diagnosis using the quantiles of the measures used in both methods to avoid such problems. As an illustration of usefulness, the proposed method is applied to medical diagnosis of headache. The results of the simulation show that the two methods with the normal measures have significant difference in headache diagnosis, while the difference decreases when the quantiles of the normal measures are used as a diagnostic measure. [ABSTRACT FROM AUTHOR]