Purpose: The purpose of this study was to evaluate the nutritional status of elderly Korean women and to investigate related factors. Methods: A total of 100 elderly women attending a local elderly welfare center were recruited for study. Evaluation criteria included demographics, clinical status, nutritional status (using a mini-nutritional assessment), food intake, and nutritional bioparameters, including homocysteine, transferrin, prealbumin and lymphocyte levels, and their antioxidant power status. Results: Among the test group, 83% of the subjects were classified as undernourished, and they often had hyperlipidemia and a lower intake of fiber ($p$ <.05, respectively) and vegetables than normal subjects. In a correlation analysis, their nutritional status was associated with abdominal circumference, the Korean Geriatric Depression Scale score and the Enriched Social Support Inventory score. Nutritional bioparameters and antioxidant power were associated with age among undernourished subjects. Old age, the prevalence of hyperlipidemia, and poor social support significantly increased the risk of undernutrition. Poor social support, the prevalence of diabetes mellitus and depression significantly increased the risk of nutritional deficiency after controlling for age, educational and economic variables. Conclusion: More strategies to increase social support in the Korean female elderly population may improve their nutritional status.
BACKGROUND/OBJECTIVES: The association between nutritional status and health-related quality of life (HRQoL) among patients with type 2 diabetes mellitus (T2DM) is not fully understood. This study was conducted to understand the role of nutritional status on HRQoL among people with and without T2DM. SUBJECTS/METHODS: Structured survey and direct measurement of anthropometric data were conducted among people with and without T2DM. Nutritional status was measured with Mini Nutritional Assessment tool and HRQoL was measured with a 36-item Short Form Healthy Survey. Data collection was conducted in Chuncheon, South Korea with 756 participants who are older than 40 yrs of age. RESULTS: This study found that overall HRQoL were significantly lower in people with T2DM than people without T2DM after controlling for key covariates. When stratified by nutritional status, a greater degree of negative impact of T2DM on overall physical HRQoL was observed among well-nourished or at risk of malnutrition, whereas significant and more evident negative impact of diabetes on overall psychological HRQoL was observed only among malnourished. CONCLUSIONS: The study results suggest the role of nutritional status among people with T2DM on overall, especially psychological aspects of HRQoL. Future longitudinal or intervention studies are warranted to test the impact of nutritional status on HRQoL among people with T2DM.
Purpose: Previous studies have demonstrated the usefulness of the controlling nutritional status (CONUT) score in nutritional assessment and survival prediction of patients with various malignancies. However, its value in advanced gastric cancer (GC) treated with neoadjuvant chemotherapy and curative gastrectomy remains unclear. Materials and Methods: The CONUT score at different time points (pretreatment, preoperative, and postoperative) of 272 patients with advanced GC were retrospectively calculated from August 2004 to October 2015. The χ2 test or Mann-Whitney U test was used to estimate the relationships between the CONUT score and clinical characteristics as well as short-term outcomes, while the Cox proportional hazard model was used to estimate long-term outcomes. Survival curves were estimated by using the Kaplan-Meier method and log-rank test. Results: The proportion of moderate or severe malnutrition among all patients was not significantly changed from pretreatment (13.5%) to pre-operation (11.7%) but increased dramatically postoperatively (47.5%). The pretreatment CONUT-high score (≥4) was significantly associated with older age (P=0.010), deeper tumor invasion (P=0.025), and lower pathological complete response rate (CONUT-high vs. CONUT-low: 1.2% vs. 6.6%, P=0.107). Pretreatment CONUT-high score patients had worse progression-free survival (P=0.032) and overall survival (OS) (P=0.026). Adjusted for pathologic node status, the pretreatment CONUT-high score was strongly associated with worse OS in pathologic node-positive patients (P=0.039). Conclusions: The pretreatment CONUT score might be a straightforward index for immune-nutritional status assessment, while being a reliable prognostic indicator in patients with advanced GC receiving neoadjuvant chemotherapy and curative gastrectomy. Moreover, lower pretreatment CONUT scores might indicate better chemotherapy responses.
Purpose: Nutritional problems after gastrectomy affect continuation of postoperative chemotherapy. There have been no studies limited to total gastrectomy, which is particularly prone to nutritional problems. In this study, we aimed to investigate the factors that predict the continuation of postoperative chemotherapy. Materials and Methods: We included 101 patients who underwent curative total gastrectomy and postoperative chemotherapy at Hiroshima Memorial Hospital. The effects of 37 factors, including perioperative inflammatory, nutritional, and tumor status, on the persistence of postoperative chemotherapy were analyzed. Results: In univariate analysis of preoperative factors, age, carbohydrate antigen 19-9, platelet-to-neutrophil ratio, Onodera's prognostic nutritional index (PNI), controlling nutritional status score, and nutritional risk screening (NRS-2002) score were significantly associated with the duration of postoperative chemotherapy. In multivariate analysis of preoperative factors, age (≥74 years) was an independent factor for a shorter duration of postoperative chemotherapy (hazard ratio [HR], 5.24; 95% confidence interval [CI], 2.19-12.96; P<0.01). In univariate analysis of factors before postoperative chemotherapy, intraoperative blood loss, perioperative weight loss rate, postoperative performance status, PNI, albumin-to-bilirubin index, and NRS-2002 score were significantly associated with the duration of postoperative chemotherapy. In multivariate analysis of factors before postoperative therapy, age (≥74 years) (HR, 5.75; 95% CI, 1.90-19.49; P<0.01) and PNI (<39) (HR, 3.29; 95% CI, 1.26-8.56; P=0.02) were independent factors for a shorter duration of postoperative chemotherapy. Conclusions: Age and PNI are useful predictors of postoperative chemotherapy intolerance after total gastrectomy and may determine the treatment strategy and timing of chemotherapy initiation.
Background: Malnutrition and impaired immune responses significantly affect the clinical outcomes of patients with atherosclerotic stenosis. The Controlling Nutritional Status (CONUT) score has recently been utilized to evaluate perioperative immunonutritional status. This study aimed to evaluate the relationship between immunonutritional status, indexed by CONUT score, and postoperative complications in patients undergoing carotid endarterectomy (CEA). Methods: We retrospectively evaluated 188 patients who underwent elective CEA between January 2010 and December 2019. The preoperative CONUT score was calculated as the sum of the serum albumin concentration, total cholesterol level, and total lymphocyte count. The primary outcome was postoperative complications within 30 days after CEA, including major adverse cardiovascular events, pulmonary complications, stroke, renal failure, sepsis, wounds, and gastrointestinal complications. Cox proportional hazards regression analysis was used to estimate the factors associated with postoperative complications during the 30-day follow-up period. Results: Twenty-five patients (13.3%) had at least one major complication. The incidence of postoperative complications was identified more frequently in the high CONUT group (12 of 27, 44.4% vs. 13 of 161, 8.1%; p<0.001). Multivariate analyses showed that a high preoperative CONUT score was independently associated with 30-day postoperative complications (hazard ratio, 5.98; 95% confidence interval, 2.56-13.97; p<0.001). Conclusion: Our results showed that the CONUT score, a simple and readily available parameter using only objective laboratory values, is independently associated with early postoperative complications.
Purpose: Despite the high prevalence of visual impairment caused by diabetic retinopathy and nutritional problems among older adults with diabetes, evidence regarding factors related to nutritional risk in this population is limited. Therefore, this study aimed to identify the correlates of nutritional risk among older adults with diabetes, focusing on visual impairment. Methods: This study was a secondary data analysis of the 2020 National Survey of Older Koreans aged 65 years and above. The sample comprised 2,376 older adults with diabetes, and complex sample ANOVA and Rao-Scott chi-square tests were used to compare the groups according to visual impairment. Complex-sample logistic regression analyses were conducted to verify the association between visual impairment and nutritional risk. Results: Older adults with diabetes, who also have severe visual impairment, are more likely to have nutritional risk status than those without impairment after controlling for covariates (odds ratio [OR] = 2.44, 95% confidence interval [CI] 1.16~5.13). Among the covariates, depression (OR = 3.58, 95% CI 2.60~4.94), dependent activities of daily living status (OR = 2.79, 95% CI 1.60~4.86), and experience of hospitalization during the past year (OR = 2.51, 95% CI 1.57~4.03) were strongly associated with nutritional risk. Conclusion: Severe visual impairment increases the nutritional risk among older adults with diabetes. Therefore, it is essential to prevent visual impairment due to exacerbation of diabetes through appropriate management. Additionally, tailored nutritional interventions for visually impaired older adults with diabetes that consider visual characteristics are required.
This study was conducted to analyze relationships between depression indices, mini nutritional assessment scores, and nutritional quotients among 80 elderly in Yangpyeong-gun and to identify factors that help prevent depression and malnutrition. Nutrition assessment scores were low in the high-risk group (PHQ-9 score ≥10), and nutritional quotient scores were lower in the high-risk group than in the normal group (PHQ-9 score ≤4). Interestingly, the consumption frequencies of fruits, eggs, and nuts were low in the high-risk group, and subjective health awareness, dental condition, and sleep were poorer. The total PHQ-9 score was correlated with malnutrition, body mass index, calf circumference, weight change, independent daily living, reduced meal amount, water intake, and the need for help when eating. Analysis of correlations between items of the PHQ-9 and nutritional status evaluation indices showed that a self-perceived feeling of depression, low energy, difficulty controlling sleep or appetite, negative thoughts (e.g., failure, disappointment), and difficulty concentrating were negatively correlated with total nutritional status scores. These results show that attention is required when food or water intake decreases and that deviation from normal sleep and appetite cycles flags the need to prepare guidelines to prevent depression.
Inflammatory bowel disease (IBD) is a chronic inflammatory disease mainly affecting the gastrointestinal tract. The incidence of the disease is rapidly increasing worldwide, and a number of patients are diagnosed during their childhood or adolescence. Aside from controlling the gastrointestinal symptoms, nutritional aspects such as growth, bone mineral density, anemia, micronutrient deficiency, hair loss, and diet should also be closely monitored and managed by the pediatric IBD team especially since the patients are in the development phase.
Cho, Jae Won;Youn, Jiyoung;Choi, Min-Gew;Rha, Mi Young;Lee, Jung Eun
Korean Journal of Community Nutrition
/
v.27
no.3
/
pp.205-222
/
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.
Cho, Jae Won;Youn, Jiyoung;Choi, Min-Gew;Rha, Mi Young;Lee, Jung Eun
Korean Journal of Community Nutrition
/
v.26
no.4
/
pp.280-295
/
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.
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