• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.198-209
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• 2014

Diabetes Mellitus (DM) is well known for increasing morbidity and mortality, especially related to their complications. The purpose of this study was to investigate the factors affecting the prevalence rate of DM and provide a fundamental material to develop an intervention strategy to reduce the prevalence rate of DM. The study subjects were adults aged over 19 on the basis of the primitive data of "The Fifth Korean National Health and Nutrition Examination Survey, 2012". Therefore, the data of 5995 participants were analyzed. For data process, the complex sample analysis module of SPSS 18.0 program was employed to add weighting before analysis. According to the analysis, the prevalence rate of DM of the study subjects was 10.5%. Regarding the odds ratio of DM prevalence, the subjects who graduated from middle school had the odds ratio 2.51 times higher than those who graduated from college and more; those in subjective bad health condition 4.77 times higher than those in subjective good health condition; those in obesity 1.44 times higher; those with high blood pressure 2.57 times higher; those with hyperlipidemia 2.63 times higher; those who fail to control their weight 1.31 times higher; those going on a diet 2.75 times higher. This study revealed that a level of education, perceived health status, obesity, high blood pressure, hyperlipidemia, weight control, and dietary therapy were the predictable variables of the prevalence rate of DM, and thereby suggested the nursing direction and research direction to reduce the prevalence rate of DM.

• Journal of Nutrition and Health
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• v.55 no.2
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• pp.296-308
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• 2022

Purpose: To investigate the effect of a mother's modeling and feeding practices on the eating behavior of the children. Methods: From April to June 2018, 1,036 young children aged 2 to 6 years and their mothers in Gyeongsan, Gyeongsangbuk-do, were examined for their eating behavior and feeding practices using a verified dietary behavior test (DBT). The children's dietary behavior was classified into four categories: "access evasiveness", "sensory acuity", "hyperactivity", and "irregularity". The mother's eating behavior was classified into three categories: "pickiness", "negligence", and "irregularity", and feeding practice types were classified into two categories: "responsibility/monitoring", and "restriction/pressure". The differences between the groups were tested using the t-test, ANOVA, and Duncan's multiple range test. The influence of feeding practices on the children's eating behavior was analyzed by hierarchical regression analysis while controlling for the mother's modeling. Results: The problem rates of irregularity, negligence and pickiness in the mother's modeling were 33.7%, 22.8%, and 20.7%, respectively. An analysis of the mother's feeding practices revealed that responsibility/monitoring had a middle, high and low significance in 74.2%, 17.3%, and 8.5% of respondents, respectively and the risk rate of restriction/pressure when guiding children to eat was 15.3%. The problem rates for sensory acuity, access evasiveness, irregularity, and hyperactivity in children were 27.9%, 26.1%, 24.8%, and 22.0%, respectively. Among the four eating behavior characteristics of children, the child's access evasiveness and sensory acuity were more affected by their pickiness rather than the mother's feeding practices, and the child's hyperactivity was more influenced by feeding practices than the mother's eating behavior. The child's irregularity was similarly affected by the mother's eating behavior and feeding practices. Conclusion: Since the mother's eating behavior and feeding practices affect the children's eating behavior, a diet improvement program for children should consider not only the nutrition education of children but also the mother's eating behavior and provide the necessary intervention for feeding practices.

• Journal of Nutrition and Health
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• v.53 no.3
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• pp.319-328
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• 2020

Purpose: This study was conducted to evaluate the validity of the Gene-Health application in terms of estimating energy and macronutrients. Methods: The subjects were 98 health adults participating in a weight-control intervention study. They recorded their diets in the Gene-Health application, took photographs before and after every meal on the same day, and uploaded them to the Gene-Health application. The amounts of foods and drinks consumed were estimated based on the photographs by trained experts, and the nutrient intakes were calculated using the CAN-Pro 5.0 program, which was named 'Photo Estimation'. The energy and macronutrients estimated from the Gene-Health application were compared with those from a Photo Estimation. The mean differences in energy and macronutrient intakes between the two methods were compared using paired t-test. Results: The mean energy intakes of Gene-Health and Photo Estimation were 1,937.0 kcal and 1,928.3 kcal, respectively. There were no significant differences in intakes of energy, carbohydrate, fat, and energy from fat (%) between two methods. The protein intake and energy from protein (%) of the Gene-Health were higher than those from the Photo Estimation. The energy from carbohydrate (%) for the Photo Estimation was higher than that of the Gene-Health. The Pearson correlation coefficients, weighted Kappa coefficients, and adjacent agreements for energy and macronutrient intakes between the two methods ranged from 0.382 to 0.607, 0.588 to 0.649, and 79.6% to 86.7%, respectively. Conclusion: The Gene-Health application shows acceptable validity as a dietary intake assessment tool for energy and macronutrients. Further studies with female subjects and various age groups will be needed.

• Korean Journal of Community Nutrition
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• v.26 no.5
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• pp.327-336
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• 2021

Objectives: This study was conducted to create a 3D printable snack dish model for the elderly with low food or fluid intake along with barriers towards eating. Methods: The decision was made by the hybrid-brainstorming method for creating the 3D model. Experts were assigned based on their professional areas such as clinical nutrition, food hygiene and chemical safety for the creation process. After serial feedback processes, the grape shape was suggested as the final model. After various concept sketching and making clay models, 3D-printing technology was applied to produce a prototype. Results: 3D design modeling process was conducted by SolidWorks program. After considering Dietary reference intakes for Koreans (KDRIs) and other survey data, appropriate supplementary water serving volume was decided as 285 mL which meets 30% of Adequate intake. To consider printing output conditions, this model has six grapes in one bunch with a safety lid. The FDM printer and PLA filaments were used for food hygiene and safety. To stimulate cognitive functions and interests of eating, numbers one to six was engraved on the lid of the final 3D model. Conclusions: The newly-developed 3D model was designed to increase intakes of nutrients and water in the elderly with dementia during snack time. Since dementia patients often forget to eat, engraving numbers on the grapes was conducted to stimulate cognitive function related to the swallowing and chewing process. We suggest that investigations on the types of foods or fluids are needed in the developed 3D model snack dish for future studies.