• The Journal of Korean Society for School & Community Health Education
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• v.20 no.3
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• pp.53-65
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• 2019

Objectives: The purpose of this study is to examine the current status of cancer screening among subjects in the lung cancer screening cycle and to analyze the factors affecting the cancer screening of subjects in the lung cancer screening cycle. Methods: This study used the 'National Health and Nutrition Survey 7th Year (2017)' surveyed nationwide as the main data. The subjects are lung cancer screening projects, the dependent variable is early cancer screening, the independent variables are gender, age, marital status, household income level, education level, national health insurance type, private health insurance, The number of chronic diseases, general health examination, smoking status, drinking status, moderate intensity physical activity, stress perception rate, and weight control efforts were determined. Results: The results of this study showed that factors affecting early cancer screening of lung cancer screening subjects were gender, age, marital status, education level, national health insurance, smoking status, drinking status, moderate physical activity, and weight. Irrespective of the control effort, it was found that the private medical insurance, the number of chronic diseases, the medical examination, and the stress perception rate were affected. Conclusion: If the lung cancer screening subjects recognize the importance of early cancer screening themselves and create a social environment to increase their participation rate, lung cancer screening patients and their families will help them to live a healthy life.

• Journal of Home Health Care Nursing
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• v.15 no.2
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• pp.99-105
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• 2008

Purpose: We evaluated patient nutritional status in a home care setting. Method: We recruited 81 patients who received in-home care using a screening sheet. The level of nutrition-related serum marker (albumin) was checked via medical records and data analyzed using descriptive analysis, t-tests, and $X^2$-test. Results: Nutritional status varied according to the primary medical diagnosis. Poor nutritional status was significantly higher in cancer patients than in other diseases. Serum albumin levels were significantly lower in the malnutrition group than the good nutrition group. Conclusions: Nutrition screening can determine the nutritional status in home care patients. Home care nurse practitioners should consider nutritional status when assessing patient health.

• Journal of Korean Traditional Oncology
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• v.24 no.2
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• pp.1-11
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• 2019

Objectives : We investigated whether a single center nutrition screening tool (Kyunghee Neo Nutrition Risk Screening, KNNRS) can predict survival in patients with metastatic cancer. Methods : We retrospectively reviewed data of inpatients with metastatic cancer from April 2016 to August 2019. Data on demographic and clinical parameters were collected from electronic medical records, and overall survival was estimated using the Kaplan-Meier method. Stepwise Cox regression analysis was used to determine factors associated with survival. Patients with a KNNRS score of 0 to 3 were classified as "no-risk", 4 to 10 as "low-risk", and 11 to 20 as "high-risk". Results : Total 105 patients were included in the study. According to nutritional screening at baseline, 25 patients (23.8%, median age 57.0) were classified as ""no risk"" group; 80 patients (76.2%, median age 68.5) as "low risk" group; No patients as "high risk" group. Predictors of survival were Eastern Cooperative Oncology Group Performance Status score of 3 or 4 (hazard ratio [HR] = 1.93; 95% confidence interval [CI] = 1.21-3.10), hemoglobin less than 10 g/dL (HR = 1.97; 95% CI = 1.25-3.10) and C-reactive protein more than 1.0 mg/dL (HR = 1.95; 95% CI = 1.21-3.13). Kaplan-Meier survival analysis showed significant differences in the survival between KNNRS groups: ""no risk"" group: 6.1 ± 1.4 months (95% CI = 3.37-8.83); ""low risk"" group: 3.4 ± 0.9 months (95% CI = 1.5-5.37). Conclusions : Nutritional status according to KNNRS wasn't significant predictor of survival for patients with metastatic cancer. Improvement of KNNRS score thresholds is needed.

• Journal of the Korean Dietetic Association
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• v.17 no.2
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• pp.176-189
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• 2011

The purpose of this study was to investigate the status of clinical nutrition services at various medical centers in Seoul, Korea. A questionnaire was distributed to the departments of nutrition at 44 hospitals in Seoul on July 2009. Nutritional screening carried out at a rate of 59.1% at the medical centers, and a significant difference was found according to the type of center, from 100% in tertiary hospitals to 18.8% in normal hospitals. On annual average, the numbers of inpatients, inpatients for malnutritional screening, inpatients with malnutrition, and inpatients for malnutrition management were 15,169.5, 10,870.9, 2,224.8, and 1,546.2, respectively. On average the group nutrition education was done 36.1 times/year for diabetes, 8.2 times/year for cancer, and 1.9 times/year for renal disease, and the numbers of participants 423.1, 95.1, and 31.5, respectively. On average the individual nutrition education of inpatients with diabetes was done 135.4 times/year for ordered-type, and 119.3 times/year for unordered-type, 106.2 times/year for paid-type, and 148.5 times/year for unpaid-type. The mean fee for education and counseling was the highest for peritoneal dialysis (73,090.9 won) but the lowest for heart disease (23,609.1 won). On average the individual nutrition education of outpatients with diabetes was done 234.6 times/year for ordered-type, and 2.5 times/year for unordered-type, 204.4 times/year for paid-type, and 32.7 times/year for unpaid-type. The mean fee for education and counseling was also the highest for peritoneal dialysis (63,500.0 won) but the lowest for heart disease (21,336.4 won). To implement more effective clinical nutrition service, a national medical insurance imbursement policy should be urgently instituted such that diseases left as unpaid are covered by health insurance, including all nutrition-related disease.

• Proceedings of the Korean Nutrition Society Conference
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• 2001.05a
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• pp.313.2-313
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• 2001

• 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.

• Journal of the Korean Dietetic Association
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• v.5 no.1
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• pp.48-53
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• 1999

This study was prospectively conducted to investigate any relationship of nutritional status at the time of admission to length of hospital stay and mortality. All patients admitted to the Asan Medical Center between October 13 and November 12, 1997 who met the study criteria were included in the study. Patients were classified as Not-at-risk, At-risk Ⅰ or At-risk Ⅱ based on the levels of serum albumin and total lymphocyte count in a computerized nutrition screening program. Sixty three percent of the patients were classified as Not-at-risk Group, 29% as At-risk Group Ⅰ and 8% as At-risk Group Ⅱ. Significant correlation was observed between nutritional status and LOS (P＜0.01) as well as mortality rate (P＜0.05). The more the patient had the nutritional risk factors, the longer the LOS and the higher the mortality rate were. Further studies have to be done in order to demonstrate cost-effectiveness of medical therapy for the malnourished hospitalized patients.

• Journal of Nutrition and Health
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• v.42 no.2
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• pp.119-127
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• 2009

Malnutrition of hospitalized patients can adversely affect clinical outcomes and cost. Several nutritional screening tools have been developed to identify patients with malnutrition risk. However, many of those possess practical pitfalls of requiring much time and labor to administer and may not be highly applicable to a Korean population. This study sought to develop and evaluate a Nutrition Risk Screening Tool (NRST) which is simple and quick to administer and widely applicable to Korean hospitalized patients with various diseases. The study was also designed to generate a screening tool predictable of various clinical outcomes and to validate it against the Nutritional Risk Screening 2002 (NRS 2002). Electronic medical records of 424 patients hospitalized at a general hospital in Seoul during a 14-month period were abstracted for anthropometric, medical, biochemical, and clinical outcome variables. The study employed a 4-step process consisting of selecting NRST components, searching a scoring scheme, validating against a reference tool, and confirming clinical outcome predictability. NRST components were selected by stepwise multiple regression analysis of each clinical outcome (i.e., hospitalization period, complication, disease progress, and death) on several readily available patient characteristics. Age and serum levels of albumin, hematocrit (Hct), and total lymphocyte count (TLC) remained in the last model for any of 4 dependent variables were decided as NRST components. Odds ratios of malnutrition risk based on NRS 2002 according to levels of the selected components were utilized to frame a scoring scheme of NRST. A NRST score higher than 3.5 was set as a cut-off score for malnutrition risk based on sensitivity and specificity levels against NRS 2002. Lastly differences in clinical outcomes by patients' NRST results were examined. The results showed that the NRST can significantly predict the in-hospital clinical outcomes. It is concluded that the NRST can be useful to simply and quickly screen patients at high-nutritional risk in relation to prospective clinical outcomes.

• Health Policy and Management
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• v.25 no.3
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• pp.162-173
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• 2015

Background: The aim of the current study was to investigate the factors related to the non-practice of cancer screening in cancer survivors, who are at high risk of developing second cancers. Methods: This study is a cross-sectional analysis of 1,125 cancer survivors ${\geq}19$ years old who participated in the Korean National Health and Nutrition Examination Surveys IV and V (2007-2012). A Rao-scott chi-square test and a survey logistic regression analysis were employed respectively to analyze the difference of cancer survivors in cancer screening by each characteristic and the factors related to the non-practice of cancer screening in cancer survivors. Results: Among total subjects, 33.5% did not participate in cancer screening in the last two years. Results from a fully adjusted logistic model showed that the non-practice of cancer screening in cancer survivors was significantly associated with variables such as sex, age, marital status, education level, monthly income, and drinking a alcoholic beverage Specifically, the odds ratio of non-practice of cancer screening was higher in males than in females, in the younger group than in older group, in the group with no spouse than in the group with a spouse; in a group with a low level of education than in a group with a high level of education; in a group with the lowest income level than in a group with the other levels of income; or in non-drinkers than in drinkers. Conclusion: Health policies to reduce the non-practice rate of cancer screening in cancer survivors should be designed and implemented with close attention to cancer survivors' socio-economic characteristics such as sex, age, marital status, education, and income, along with a health behavioral characteristic as drinking.

• 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.