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Background: As the average age of the population continues to rise in the 21st century, chronic illnesses have become the most prominent threats to human health. Research has shown that early screenings for chronic diseases are an effective way of lowering incidence and mortality rates. However, low participation rates for health screening is one of the main challenges for preventive medicine. The objective of this study was to determine the primary drivers which: (1) first motivate people to participate in community-based health screening for chronic diseases; and (2) increase their willingness to continue to participate. Methods: A total of 440 individuals between 30 and 75 years of age were invited to undergo a health screening and then complete an interview questionnaire. Screenings and interviews were conducted in four regions in northern Taiwan. The questionnaire was separated into three sections, which explored sociodemographic differences, drivers of willingness to participate, and willingness to continue to participate respectively. Raw data was analyzed using the statistical software package SPSS (SPSS Inc., Chicago, IL, USA). Main Outcome Measures: Effects of sociodemographic factors on health screening participation rate, drivers of willingness to participate, and willingness to continue to participate. Results: Seventy-three percent of participants responded that they would be willing to continue to join in future health screenings. Notably, elderly people and married people were respectively more likely to participate in preventive health screening than were younger people and people who were single, divorced, separated, or widowed. Level of education was another key driver of willingness to participate in health screening for chronic diseases, as were the concern of relatives/friends and the provision of participation incentives. Discussion: Some of our findings, such as the key drivers of willingness to continue to participate in health screening that we identified, were different from findings of many previous studies conducted in other countries. The current study also found that a higher percentage of participants would be willing to join a similar health screening in the future if the service design is considered in advance and is well-implemented.

Recently, more importance has been attached to consumers’ emotional feelings in the course of product design. Designers must convey positive emotions, such as surprise and affection, to consumers through their designs. For this purpose, image boards have been frequently used in design to position product emotional feeling and arouse design ideas. A large number of pictures are often needed for constructing an image board. However, it is time-consuming and labor-intensive to find appropriate pictures and the pictures that are finally collected may not reflect the expected image of consumers. Therefore, this study aims to take Lifestyles of Health and Sustainability (LOHAS) as an example to build a user-driven database for image boards. In this research, 16 LOHAS representatives were identified and recruited by using a lifestyle questionnaire to collect, and then screen out 50 proposed pictures relevant to the image of LOHAS. Since image boards are usually used by designers, in order to include their ideas, another 16 pictures were selected by the invited experienced product designers to create a comprehensive pool of 66 proposed pictures. Design experts were asked to select six key image adjectives, which included healthy, environmentally friendly, sustainable, natural, simple, and ecological for describing images of the LOHAS, from the vocabulary pool collected by general respondents, LOHAS representatives, and designers. Next, 219 LOHAS subjects were required to carry out a semantic differential assessment of each of the 66 proposed pictures with the six key images, and then two types of analyses on the collected data from the semantic differential assessment. Through mean analysis and grey correlation analysis, the recommended pictures representing LOHAS or six key adjective images were selected. The research results put forward three database application models. The results of this study are expected to be used by designers, users, manufacturers, and educators to help improve product design efficiency in the future.