Objectives: The purposes of the present study were to (1) analyze the relationship between clinical oral health status and subjective oral health status, (2) explore the association between perceived oral symptoms and subjective oral health status, and (3) investigate the effects of factors on subjective oral health status. Methods: A total of 771 subjects, aged over 35 years of age, from a dental hospital in Gwangju metropolitan city, were surveyed cross-sectionally using a self-report questionnaire. We investigated the relationship of subjective oral health status with clinical oral health status, and with perceived oral symptoms using a Chi-squared test (P<0.05). To investigate the effects of factors on subjective oral health status relationship, a logistic regression analysis was performed. Results: The odds ratios of subjective oral health status between ‘Bad’ vs ‘Good’ were as follows: frequent oral concern, 43.41; occasional oral concern, 2.94; toothache, 6.08; hypersensitivity to coldness, 2.13; 1-3 year’s periodic preventive oral care, 0.19; 4-7 and periodic preventive oral care, 0.14. Conclusions Periodic preventive oral care appears to be associated with self-rated subjective oral health status.

PURPOSE: This study identified the relationship between dietary habits and health-related behaviors depending on the Big Five personality factors (extraversion, openness, agreeableness, conscientiousness, neuroticism). METHODS: The NEO-II test was administered to 337 male and female college students in Seongnam City, Gyeonggi Province, and their dietary habits and health-related behaviors were surveyed. RESULTS: The male participants showed higher scores for extraversion, openness, agreeableness, and conscientiousness compared to that of their female counterparts, while the female participants showed higher scores for neuroticism. As for the results of multivariate logistic regression analysis, in the case of men, higher scores for extraversion were related to a lower intake of instant/fast foods and a higher intake of vegetables; higher agreeableness scores were related to a lower intake of fruit; and higher neuroticism scores were related to a heavy intake of high-cholesterol foods. It was found that higher openness scores were associated with a higher intake of burnt fish/meat and a lower intake of animal fat, while higher agreeableness scores were related to a lower intake of burnt fish/meat in women. Also, those subjects with higher openness and agreeableness scores were found to better consider the nutritional balance when having a meal. In the case of the male participants, higher openness scores were related to increased physical activity, while higher neuroticism scores were related to increased smoking and a lack of sleep. As for the women, those with higher extraversion scores smoked more, while those who recorded higher agreeableness scores were involved in more physical activities. CONCLUSION Differences were observed in dietary habits and health-related behaviors between men and women depending on personality factors, and the analysis results of some dietary habits according to personality factors were inconsistent with those of the overseas studies. Therefore, to provide customized nutritional counseling when considering each individual's personality factors, more research results from domestic samples should be collected and accumulated.

OBJECTIVE: CDA (Clinical Document Architecture) is a markup standard for clinical document exchange. In order to increase the semantic interoperability of documents exchange, the clinical statements in the narrative blocks should be encoded with code values. Natural language processing (NLP) is required in order to transform the narrative blocks into the coded elements in the level 3 CDA documents. In this paper, we evaluate the accuracy of text mapping methods which are based on NLP. METHODS: We analyzed about one thousand discharge summaries to know their characteristics and focused the syntactic patterns of the diagnostic sections in the discharge summaries. According to the patterns, different rules were applied for matching code values of Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT). RESULTS: The accuracy of matching was evaluated using five-hundred discharge summaries. The precision was as follows: 86.5% for diagnosis, 61.8% for chief complaint, 62.7%, for problem list, and 64.8% for discharge medication. CONCLUSION: The text processing method based on the pattern analysis of a clinical statement can be effectively used for generating CDA entries.
Diagnosis ; Natural Language Processing ; Semantics ; Systematized Nomenclature of Medicine

OBJECTIVES: Machine learning systems can considerably reduce the time and effort needed by experts to perform new systematic reviews (SRs). This study investigates categorization models, which are trained on a combination of included and commonly excluded articles, which can improve performance by identifying high quality articles for new procedures or drug SRs. METHODS: Test collections were built using the annotated reference files from 19 procedure and 15 drug systematic reviews. The classification models, using a support vector machine, were trained by the combined even data of other topics, excepting the desired topic. This approach was compared to the combination of included and commonly excluded articles with the combination of included and excluded articles. Accuracy was used for the measure of comparison. RESULTS: On average, the performance was improved by about 15% in the procedure topics and 11% in the drug topics when the classification models trained on the combination of articles included and commonly excluded, were used. The system using the combination of included and commonly excluded articles performed better than the combination of included and excluded articles in all of the procedure topics. CONCLUSIONS: Automatically rigorous article classification using machine learning can reduce the workload of experts when they perform systematic reviews when the topic-specific data are scarce. In particular, when the combination of included and commonly excluded articles is used, this system will be more effective.
Evidence-Based Medicine ; Machine Learning ; Review Literature as Topic ; Support Vector Machine

Objectives: This study was conducted to assess the eating behavior, growth, and dietary practices of children aged 3~5 years living in the Seoul and Gyeonggi Provinces. Methods: Self-administered questionnaires were completed by 237 mothers of preschool children between April and June 2018. Z-scores for weight-for-age, height-for-age, and BMI-for-age were calculated to determine the children’s growth status. Dietary practices were evaluated using the nutrition quotient for Korean preschoolers (NQ-P). Results: In our study, 29.5% of children were in the eating-small-amounts group, 46.8% of children were in the neophobic behavior group, and 61.2% of children were in the refusal-of-specific food group. Specific foods found to have a high frequency of rejection are listed in descending order as follows: shellfish, soy, mushroom, shrimp, vegetables, milk, eggs, yogurt, seaweed, meat, fruits, and fish. The eating-smallamounts group had lower Z-scores for weight-for-age, height-for-age, and BMI-for-age than the non-picky eaters’ group. Compared to the non-picky eaters' group, the eatingsmall-amounts group of picky eaters had lower scores on the moderation and environment items of the NQ-P, the neophobic behavior group had lower scores on the balance and environment items of the NQ-P, and the refusal-of-specific food group had lower scores on the balance, moderation, and environment items of the NQ-P. Conclusions Children classified with picky eating behavior had lower growth and development, lower diet diversity, less balanced food intake, and had greater difficulty in abstaining from eating unhealthy foods than non-picky eaters. Therefore, a lot of patience and intensive efforts are needed to encourage children to encounter, experience, and accept unfamiliar food. It is more effective to provide eating behavior guidance by gently encouraging children, than by being strict and forceful. Besides, since the eating behavior of children is influenced maximally by the dietary lifestyle at their homes, it is important to ensure that a healthy dietary lifestyle is maintained at home.

BACKGROUND/OBJECTIVES: Despite the widespread use of dietary assessment tools, the validity of food records has not been evaluated in Koreans. We assessed the accuracy of estimated food records and the effect of a short education session in young Korean women. SUBJECTS/METHODS: Thirty women (aged 18–23 yrs) each completed 3 food records during a controlled-feeding study. One educational session was provided on day 2 of the study. Food records were analyzed for the accuracy of food items and portion size estimation according to food group (grains; meat, fish, eggs, and beans; vegetables; fruit; dairy; and oils and sugars) and type of dish (rice, kimchi, soup, side dishes, spreads, beverages, and snacks). Reported food items were categorized as exact, close, or far matches, exclusions, or intrusions. Portion sizes were evaluated as accurate, similar, or inaccurate estimates, or missing. The means of days 2 and 3 were used to assess post-education results. Paired t-tests were performed to assess the effects of the education session. RESULTS: The mean percentages of exact matches, close matches, far matches, and exclusions on day 1 were 80.9%, 10.9%, 2.0%, and 6.2%, respectively, and mean intrusions observed were 0.1. The education session slightly increased the accuracy of recorded food items. The percentages of accurate, similar, and inaccurate estimates, and missing portion sizes were 11.7%, 19.8%, 12.2%, and 56.3%, respectively, at baseline. The percentage of missing portion size estimates decreased to 14.0% after the education session, resulting in an increase in the percentages of all other estimates. An increase was observed in the accuracy of reported portion sizes of vegetables, rice, and kimchi. CONCLUSIONS In young Korean women, estimated food records are highly accurate for food items but not for portion size estimates without prior education. A short education session can improve the accuracy of portion size estimation.

Objectives: This study was conducted to assess the eating behavior, growth, and dietary practices of children aged 3~5 years living in the Seoul and Gyeonggi Provinces. Methods: Self-administered questionnaires were completed by 237 mothers of preschool children between April and June 2018. Z-scores for weight-for-age, height-for-age, and BMI-for-age were calculated to determine the children’s growth status. Dietary practices were evaluated using the nutrition quotient for Korean preschoolers (NQ-P). Results: In our study, 29.5% of children were in the eating-small-amounts group, 46.8% of children were in the neophobic behavior group, and 61.2% of children were in the refusal-of-specific food group. Specific foods found to have a high frequency of rejection are listed in descending order as follows: shellfish, soy, mushroom, shrimp, vegetables, milk, eggs, yogurt, seaweed, meat, fruits, and fish. The eating-smallamounts group had lower Z-scores for weight-for-age, height-for-age, and BMI-for-age than the non-picky eaters’ group. Compared to the non-picky eaters' group, the eatingsmall-amounts group of picky eaters had lower scores on the moderation and environment items of the NQ-P, the neophobic behavior group had lower scores on the balance and environment items of the NQ-P, and the refusal-of-specific food group had lower scores on the balance, moderation, and environment items of the NQ-P. Conclusions Children classified with picky eating behavior had lower growth and development, lower diet diversity, less balanced food intake, and had greater difficulty in abstaining from eating unhealthy foods than non-picky eaters. Therefore, a lot of patience and intensive efforts are needed to encourage children to encounter, experience, and accept unfamiliar food. It is more effective to provide eating behavior guidance by gently encouraging children, than by being strict and forceful. Besides, since the eating behavior of children is influenced maximally by the dietary lifestyle at their homes, it is important to ensure that a healthy dietary lifestyle is maintained at home.

BACKGROUND/OBJECTIVES: Despite the widespread use of dietary assessment tools, the validity of food records has not been evaluated in Koreans. We assessed the accuracy of estimated food records and the effect of a short education session in young Korean women. SUBJECTS/METHODS: Thirty women (aged 18–23 yrs) each completed 3 food records during a controlled-feeding study. One educational session was provided on day 2 of the study. Food records were analyzed for the accuracy of food items and portion size estimation according to food group (grains; meat, fish, eggs, and beans; vegetables; fruit; dairy; and oils and sugars) and type of dish (rice, kimchi, soup, side dishes, spreads, beverages, and snacks). Reported food items were categorized as exact, close, or far matches, exclusions, or intrusions. Portion sizes were evaluated as accurate, similar, or inaccurate estimates, or missing. The means of days 2 and 3 were used to assess post-education results. Paired t-tests were performed to assess the effects of the education session. RESULTS: The mean percentages of exact matches, close matches, far matches, and exclusions on day 1 were 80.9%, 10.9%, 2.0%, and 6.2%, respectively, and mean intrusions observed were 0.1. The education session slightly increased the accuracy of recorded food items. The percentages of accurate, similar, and inaccurate estimates, and missing portion sizes were 11.7%, 19.8%, 12.2%, and 56.3%, respectively, at baseline. The percentage of missing portion size estimates decreased to 14.0% after the education session, resulting in an increase in the percentages of all other estimates. An increase was observed in the accuracy of reported portion sizes of vegetables, rice, and kimchi. CONCLUSIONS In young Korean women, estimated food records are highly accurate for food items but not for portion size estimates without prior education. A short education session can improve the accuracy of portion size estimation.

Over the past decade, practice of sharing brain magnetic resonance imaging (MRI) data is increasing given significance of reproducibility and transparency in human neuroscience. Larger multimodal brain MRI databases are needed for more robust research findings considering potential possibilities of large variability in human neuroscience. There are currently more than tens of thousands of shared brain MRI datasets across multiple conditions and hundreds of neuroimaging studies using multimodality through shared brain MRI data repositories. This article critically reviews aims, procedures, and current state of brain MRI data sharing. This review focuses on projects and research findings using structural and functional MRI open databases and is further divided into T1- and diffusion-weighted images for structural MRI as well as resting-state and task-based functional MRI. The challenges and directions are finally discussed. Advances in brain MRI data sharing will lead to more rapid progression in human neuroscience by fostering effective longitudinal, multi-site, multimodal neuroimaging research.
Brain ; Dataset ; Foster Home Care ; Humans ; Information Dissemination ; Magnetic Resonance Imaging ; Neuroimaging ; Neurosciences ; Transcutaneous Electric Nerve Stimulation

Purpose: This study aimed to assess the weight fluctuations in college students during the coronavirus disease 2019 (COVID-19) pandemic and identify lifestyle and dietary changes related to weight gain. Methods: An online survey was conducted on 270 college students from September 22 to October 26, 2021. A logistic regression analysis was performed to analyze the relationship of weight gain with the general characteristics, lifestyle, and dietary changes of the students. Results: Among the respondents, 42.9% of men and 44.7% of women reported weight gain. The main reasons given for weight gain were reduced activities due to restrictions during lockdown and diet changes, mainly relating to delivered or fast foods. Among the general characteristics and lifestyle factors poor perceived health (odds ratio [OR], 3.97, 95% confidence interval [CI], 1.98–7.96) and being underweight (OR, 0.19, 95% CI, 0.05–0.83) were significantly associated with weight gain. With respect to the diet, increased frequency of eating breakfasts (OR, 4.44, 95% CI, 1.76–11.21), decreased frequency of eating snacks (OR, 0.35, 95% CI, 0.16–0.77), decreased frequency of fruit intake (OR, 3.0, 95% CI, 1.32–6.80), increased frequency of carbonated and sweetened beverage intake (OR, 2.74, 95% CI, 1.26–5.99) and increased frequency of fast food consumption (OR, 2.32, 95% CI, 1.14–4.70) were significantly associated with weight gain. Conclusion The COVID-19 pandemic affected weight gain and caused lifestyle and dietary changes. Specific health and nutrition management plans should be prepared for handling future epidemics of infectious diseases based on the results of surveys conducted on larger sample size.