Objectives Recent epidemiological data reported that young adults in their 20 ~ 30s are a vulnerable population with unhealthy dietary practices and a few signs of deteriorated health indicators. However, there are no dietary guidelines that are specifically developed for the young adult population. This study introduces some data collection tools that are mostly used in the service design field, and demonstrates how these tools can be used in nutrition research for developing dietary guidelines for specific target groups. Methods To understand the context of food choices among young people, 39 people were enrolled to complete a probes booklet. Thematic analysis and word cloud were performed to capture the main themes from the probes and a persona was developed based on the findings. Results Data from the probes enabled us to grasp the various contextual meanings of eating practices among young people. Most participants understand what a healthy diet is and often have a willingness to practice it. However, there were very few participants who were following the practices. We created four types of persona for developing dietary guidelines: healthy eating, emotional eating, convenient eating, and trendy eating. Conclusions Probes and persona were used in order to understand the lives of young adults and develop targeted messages. We hope that this introduction will be helpful to researchers who are looking for new ways of understanding their target population in the field of community nutrition.
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OBJECTIVES The objective of this study was to examine whether dietary quality varies among different age groups and geographic areas, and whether the difference between geographic areas varies across several age groups in Korea. METHODS The subjects were 14,170 subjects who participated in the 2013–2015 Korea National Health and Nutrition Examination Survey. The dietary quality was assessed using the Korean Health Eating Index (KHEI). Age groups were categorized into six groupings, and areas were categorized into urban and rural according to their administrative districts. The effect of area on the KHEI score was analyzed by multiple linear regression analysis. RESULTS The KHEI was the lowest in the 20-30s group (57.7 ± 0.4 score for 20s and 61.2 ± 0.3 score for 30s) and increased with age (p<0.001), showing the highest score in the 60s (67.9 ± 0.3 score), and then decreased again in the 70s and older (64.6 ± 0.3 score). As a result of comparing the KHEI score by area, the urban areas had higher KHEI scores than did the rural areas (63.5 ± 0.2 score for urban area and 62.2 ± 0.4 score for rural area, p=0.002). The difference between areas was dependent on the age group, showing a significant difference for subjects who were aged from 50s and older (p=0.002 for 50s, p<0.001 for 60s and p<0.001 for 70s and older). After adjusting for confounding factors, the effect of area on the KHEI score was only shown for those subjects in the over 60 years old group (p=0.035 for 60s and p<0.001 for 70s and older). CONCLUSIONS The dietary quality differed according to the age group and geographic area. The dietary quality was lower for younger people than that for older people, and in rural areas compared to that in urban areas, and especially for older adults. The area factor was a very important factor for the dietary quality.
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