• Nutrition Research and Practice
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• v.9 no.6
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• pp.637-643
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• 2015

BACKGROUND/OBJECTIVES: Malnutrition in the elderly is a serious problem, prevalent in both hospitals and care homes. Due to the absence of a gold standard for malnutrition, herein we evaluate the efficacy of five nutritional screening tools developed or used for the elderly. SUBJECTS/METHODS: Elected medical records of 141 elderly patients (86 men and 55 women, aged $73.5{\pm}5.2years$) hospitalized at a geriatric care hospital were analyzed. Nutritional screening was performed using the following tools: Mini Nutrition Assessment (MNA), Mini Nutrition Assessment-Short Form (MNA-SF), Geriatric Nutritional Risk Index (GNRI), Malnutrition Universal Screening Tool (MUST) and Nutritional Risk Screening 2002 (NRS 2002). A combined index for malnutrition was also calculated as a reference tool. Each patient evaluated as malnourished to any degree or at risk of malnutrition according to at least four out of five of the aforementioned tools was categorized as malnourished in the combined index classification. RESULTS: According to the combined index, 44.0% of the patients were at risk of malnutrition to some degree. While the nutritional risk and/or malnutrition varied greatly depending on the tool applied, ranging from 36.2% (MUST) to 72.3% (MNA-SF). MUST showed good validity (sensitivity 80.6%, specificity 98.7%) and almost perfect agreement (k = 0.81) with the combined index. In contrast, MNA-SF showed poor validity (sensitivity 100%, specificity 49.4%) and only moderate agreement (k = 0.46) with the combined index. CONCLUSIONS: MNA-SF was found to overestimate the nutritional risk in the elderly. MUST appeared to be the most valid and useful screening tool to predict malnutrition in the elderly at a geriatric care hospital.

• Korean Journal of Community Nutrition
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• v.11 no.6
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• pp.779-784
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• 2006

Several studies about hospital malnutrition have been reported that about more than 40% of hospitalized patients are having nutritional risk factors and hospital malnutrition presents a high prevalence. People in a more severe nutritional status ended up with a longer length of hospital stay and higher hospital cost. Nutrition screening tools identify individuals who are malnourished or at risk of becoming malnourished and who may benefit from nutritional support. For the early detection and treatment of malnourished hospital patients , few valid screening instruments fur Koreans exist. Therefore, the aim of this study was to develop a simple, reliable and valid malnutrition screening tool that could be used at hospital admission to identify adult patients at risk of malnutrition using medical electrical record data. Two hundred and one patients of the university affiliated medical center were assessed on nutritional status and classified as well nourished, moderately or severely malnourished by a Patient-Generated subjective global assessment (PG-SGA) being chosen as the 'gold standard' for defining malnutrition. The combination of nutrition screening questions with the highest sensitivity and specificity at prediction PG-SGA was termed the nutrition screening index (NSI). Odd ratio, and binary logistic regression were used to predict the best nutritional status predictors. Based on regression coefficient score, albumin less than 3.5 g/dl, body mass index (BMI) less than $18.5kg/m^2$, total lymphocyte count less than 900 and age over 65 were determined as the best set of NSI. By using best nutritional predictors receiver operating characteristic curve with the area under the curve, sensitivity and 1-specificity were analyzed to determine the best optimal cut-off point to decide normal or abnormal in nutritional status. Therefore simple and beneficial NSI was developed for identifying patients with severe malnutrition. Using NSI, nutritional information of the severe malnutrition patient should be shared with physicians and they should be cared for by clinical dietitians to improve their nutritional status.

• Journal of Community Nutrition
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• v.7 no.4
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• pp.220-229
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• 2005

The studies on nutrition counseling and screening have been based on stand-alone program. This study introduces the nutrition counseling and screening management system. This system offers convenient user interface and the synthetic results of counseling and screening with various utilities, The system for nutrition counseling and screening consists of the general information of clients, the anthropometry data, the calculation of obesity and body mass index, the state of eating habits, the computation of calorie expenditure, the clinical symptoms, the convenient method for analysis of calorie and nutrients, nutrition prescription and alcoholism screening tests. Having interoperability, these functions preserve the information of clients and manage the historical data. The system inserts, stores and generates the synthetic information of clients, so it is able to provide suitable and efficient counseling to clients. The proposed system gathers various information of clients. With accumulated client data, it does the nutrition education, screening and counseling simultaneously. Managing clients' information connected to database, it can provide systematic and formal information. It is possible for the system to retrieve information and counsel in real time. It is expected that the nutrition counseling management system can improve the national health with animated nutrition counseling. (J Community Nutrition 7(4) : $220\∼229$, 2005)

• Nutrition Research and Practice
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• v.14 no.1
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• pp.20-24
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• 2020

BACKGROUND/OBJECTIVES: Malnutrition has multiple impacts on surgical success, postoperative complications, duration of hospital stay, and costs, particularly for cancer patients. There are various nutrition risk screening tools available for clinical use. Herein, we aim to determine the most appropriate nutritional risk screening system for esophageal cancer (EC) patients in China. SUBJECTS/METHODS: In total, 138 EC patients were enrolled in this study and evaluated by experienced nurses using three different nutritional screening tools, the Nutrition Risk Screening 2002 tool (NRS2002), the Patient-generated Subjective Globe Assessment (PG-SGA), and the Nutrition Risk Index (NRI).We compared sensitivity, specificity, positive and negative likelihood ratios, and Youden index generated by each of the three screening tools. Finally, cut-off points for all three tools were re-defined to optimize and validate the best nutritional risk screening tool for assessing EC patients. RESULTS: Our data suggested that all three screening tools were 100% sensitive for EC patients, while the specificities were 44.4%, 2.96%, and 59.26% for NRS 2002, PG-SGA, and NRI, respectively. NRI had a higher positive likelihood ratio as well as a higher area under the receiver operating characteristic curve compared to those of NRS 2002 and PG-SGA; although, all three tools had null negative likelihood ratios. After adjusting the cut-off points, the specificity and accuracy for all tools were significantly improved, however, the NRI remained the most appropriate nutritional risk screening system for EC patients. CONCLUSIONS: The NRI is the most suitable (highest sensitivity and accuracy) nutritional risk screening tool for EC patients. The performance of the NRI can be significantly improved if the cut-off point is modified according to the results obtained using MedCalc software.

• Korean Journal of Community Nutrition
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• v.26 no.4
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• pp.280-295
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• 2021

Objectives: This study aimed to examine the characteristics of patients according to their nutritional status as assessed by five nutritional screening tools: Patient-Generated Subjective Global Assessment (PG-SGA), NUTRISCORE, Nutritional Risk Index (NRI), Prognostic Nutritional Index (PNI), and Controlling Nutritional Status (CONUT) and to compare the agreement, sensitivity, and specificity of these tools. Methods: A total of 952 gastric cancer patients who underwent gastrectomy and chemotherapy from January 2009 to December 2012 at the Samsung Medical Center were included. We categorized patients into malnourished and normal according to the five nutritional screening tools 1 month after surgery and compared their characteristics. We also calculated the Spearman partial correlation, Cohen's Kappa coefficient, the area under the curve (AUC), sensitivity, and specificity of each pair of screening tools. Results: We observed 86.24% malnutrition based on the PG-SGA and 85.82% based on the NUTRISCORE among gastric cancer patients in our study. When we applied NRI or CONUT, however, the malnutrition levels were less than 30%. Patients with malnutrition as assessed by the PG-SGA, NUTRISCORE, or NRI had lower intakes of energy and protein compared to normal patients. When NRI, PNI, or CONUT were used to identify malnutrition, lower levels of albumin, hemoglobin, total lymphocyte count, total cholesterol, and longer postoperative hospital stays were observed among patients with malnutrition compared to those without malnutrition. We found relatively high agreement between PG-SGA and NUTRISCORE; sensitivity was 90.86% and AUC was 0.78. When we compared NRI and PNI, sensitivity was 99.64% and AUC was 0.97. AUC ranged from 0.50 to 0.67 for comparisons between CONUT and each of the other nutritional screening tools. Conclusions: Our study suggests that PG-SGA and NRI have a relatively high agreement with the NUTRISCORE and PNI, respectively. Further cohort studies are needed to examine whether the nutritional status assessed by PG-SGA, NUTRISCORE, NRI, PNI, and CONUT predicts the gastric cancer prognosis.

• Korean Journal of Community Nutrition
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• v.5 no.1
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• pp.3-12
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• 2000

The nutritional and health status of low-income alone-living elderly(ALE) was assessed in relation to the activity of daily living (ADL) and nutritional risk factors. One hundred and eighty five ALE over 65 years old, living in the Sungnam area, were interviewed in their homes through questionnaires. The results were as follows : 63.6% of the subjects considered themselves in poor the health and only 4.3% of them considered thermselves healthy. 89.7% of the subjects answered that they were suffering from illness and 29.7% were taking medication. The ADL was assessed through 10 checklist items and the average score of the ADL was $84.78{\pm}11.11$(maximum :100) The nutritional risk index(NRI) was evaluated by 12 risk factors and the average score of the NRI was $4.43{\pm}1.38$ (maximumː12) The scores of the ADL were positively correlated with the scored of the instrumental activities of daily living (IADL)(r=0.7523, p<0.001) and negatively correlated with NRI(r= -0.2694, p<0.001) When subjects were divided into nutritionally high risk group(HNARI: TEX>$NRI{\geq}5$) and nutritionally low risk group(LNRI : NRI<5) according to the USA screening basis, 48.9% of the subjects belonged to the HNRI, But 16.9% of the HNRI and 34.4% of the LNRI belonged to the fourth quartile($Q_{0.75}$) of the ADL, the distribution of which showed significant differences(p<0.05) We suggest that the application of the ADL as a screening tool for nutrition intervention programs for the elderly. Oncemore, further research is needed to develop appropriate checklist items for the ADL and NRI along with the screening basis for the NRI 새 diagnose the adverse nutritional status of the Korean elderly.

• Korean Journal of Community Nutrition
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• v.27 no.3
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• pp.205-222
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• 2022

Objectives: This study examined the characteristics of patients according to nutritional status assessed by five nutritional screening tools: Patient-Generated Subjective Global Assessment (PG-SGA), NUTRISCORE, Nutritional Risk Index (NRI), Prognostic Nutritional Index (PNI), and Controlling Nutritional Status (CONUT) and to compare the agreement, sensitivity, and specificity of these tools. Methods: A total of 952 gastric cancer patients who underwent gastrectomy and chemotherapy from January 2009 to December 2012 were included. The patients were categorized into malnutrition and normal status according to five nutritional screening tools one month after surgery. The Spearman partial correlation, Cohen's Kappa coefficient, the area under the curve (AUC), sensitivity, and specificity of each two screening tools were calculated. Results: Malnutrition was observed in 86.24% of patients based on the PG-SGA and 85.82% based on the NUTRISCORE. When NRI or CONUT were applied, the proportions of malnutrition were < 30%. Patients with malnutrition had lower intakes of energy and protein than normal patients when assessed using the PG-SGA, NUTRISCORE, or NRI. Lower levels of albumin, hemoglobin, total lymphocyte count, and total cholesterol and longer postoperative hospital stays were observed among patients with malnutrition compared to normal patients when NRI, PNI, or CONUT were applied. Relatively high agreement for NUTRISCORE relative to PG-SGA was found; the sensitivity was 90.86%, and the AUC was 0.78. When NRI, PNI, and CONUT were compared, the sensitivities were 23.72% for PNI relative to NRI, 44.53% for CONUT relative to NRI, and 90.91% for CONUT relative to PNI. The AUCs were 0.95 for NRI relative to PNI and 0.91 for CONUT relative to PNI. Conclusions: NUTRISCORE had a high sensitivity compared to PG-SGA, and CONUT had a high sensitivity compared to PNI. NRI had a high specificity compared to PNI. This relatively high sensitivity and specificity resulted in 77.00% agreement between PNI and CONUT and 77.94% agreement between NRI and PNI. Further cohort studies will be needed to determine if the nutritional status assessed by PG-SGA, NUTRISCORE, NRI, PNI, and CONUT predicts the gastric cancer prognosis.

• Journal of the Korea Society of Computer and Information
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• v.21 no.8
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• pp.95-103
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• 2016

Food habit forming the basis for a lifetime of food and nutrient intake is established in early childhood and has an effect to the child's growth, sociality, and obesity. A variety of nutrition screening tools exists for assessing the health and nutrition status of children such as the Growth Curve, for determining if growth is appropriate. Body mass index(BMI) as a more reliable index of overweight to prevent childhood obesity, and Nutrition Quotient(NQ) and eating behaviors questionnaire for young children and parents to estimate their nutrient intake adequate or not. Such tools are mainly used by health practitioners, such as doctor and dietitian to provide nutrition intervention services to children at risk, especially and are not easy to use for general parents, who need assessment at any time and at any place. We propose Growth Assistance System for infants and children, which is possible to assess their physical condition, nutritional status, and eating behavior integrated. To be convenient and portable, it is implemented over the smartphone as an application. The system offers the growth charts, the BMI curves, NQ and eating behavior questionnaire to take a monitoring and the functionalities operate well. We hereby expect this system support the normal growth and development of infants and young children. And also support for the health practitioner (dietitians and nutritionists) to take a role in providing nutrition counseling and education to children needing nutrition services.

• Journal of the Korean Dietetic Association
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• v.21 no.1
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• pp.11-24
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• 2015

This study investigated the general status of tube feeding for intensive care unit (ICU) inpatients and evaluated the consequent nutritional status of patients. This study was approved by the Institutional Review Board (IRB) of a general hospital located in Daegu metropolitan city. The subjects of this study were 80 adult patients who had been admitted to the ICU of a hospital, received fed tube feeding, and then been discharged. The differences in nutrition screening indicators, including percentage ideal body weight (PIBW), serum albumin, hemoglobin, total lymphocyte count, and total cholesterol, before and after tube feeding according to body mass index (BMI) or nutrient feeding levels were investigated. The ratios of actually provided amounts to calorie and protein requirements of patients were $72.8{\pm}15.8%$ and $72.6{\pm}19.8%$, respectively. The change in PIBW before and after tube feeding was significantly different among the BMI groups (P<0.01). The change in hemoglobin concentration before and after tube feeding was also significantly different among the BMI groups (P<0.01). When subjects were divided into three groups (<60%, 60~79%, ${\geq}80%$) according to the ratio of actually provided calories to required calories, there was no significant difference in nutrition screening indicators before and after tube feeding. When the subjects were divided into three groups (<60%, 60~79%, ${\geq}80%$) according to the ratio of actually provided protein to required protein, serum albumin concentration showed a significant difference among the groups before and after tube feeding (P<0.05). Therefore, an intensive nutrition intervention program would be needed for the nutritional improvement of ICU inpatients receiving tube feeding.

• Korean Journal of Community Nutrition
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• v.9 no.5
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• pp.555-565
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• 2004

The objective of this study was conducted to investigate growth and development status of infants fed soy-based formulas over 3 months. The height and weight were measured and Z-scores were calculated by using standard of the same age groups. Their mothers were interviewed using questionnaires including general and environmental characteristics, total food intakes, soy based formula intakes and Ewha infant development screening test. Main results were as follows: 1) Nutrient intake levels of subjects were similar to or more than the level of Korean Recommended Dietary Allowances except for intakes of vitamin E (79.89% RDA), and the average status of nutrient intakes of infants were fairly good. 2) Z-scores of height for age (HAZ) and Z-scores of weight for age (WAZ), Kaup index, WLI and Ewha Infant Developmental Screening Test score of subjects were in the normal growth range. 3) There were no significant differences among soy based formula intake percentile groups in HAZ, WAZ, Kaup index, WLI and Ewha Infant Developmental Screening Test score. 4) Total energy intake was positively correlated with HAZ (p < 0.00, WAZ (p <0.00, and WLI (p < 0.05) in infants less than 12 month. Also, soy based formula energy intake was positively correlated with HAZ (p < 0.05) in infants less than 12 month. However, energy and soy based formula intake levels of infants over 12 month were not significant among variables. Considering results of this study, infants fed soy-based formulas over 3 months showed normal growth and development status. Further studies are needed to evaluate longterm growth and development in infants fed soy based formulas.