Factors Affecting Nutritional Index and Length of Stay in Pancreatic Cancer in the Older Adults

Purpose@#This retrospective study aimed to clarify the relation between nutritional index and length of hospital stay in elderly patients undergoing pancreatic cancer surgery, and to identify factors affecting the length of hospital stay. @*Methods@#Total 102 patients aged over 65 years who underwent pancreaticoduodenectomy were retrospectively enrolled from January 1, 2010 to September 30, 2020. All patients were subjected to nutritional screening using Geriatric Nutritional Risk Index (GNRI) and Prognostic Nutritional Index (PNI). @*Results@#The GNRI average was 95. 66±6.95, with 67.6% of patients having a low GNRI score (malnutrition group). The average regarding PNI was 45.46±5.65, with 54.9% of patients having a low PNI (malnutrition group). The average total length of hospital stay was 23.12±10.69 days. Total length of hospital stay according to the nutritional indexes of the subjects was longer in the low GNRI (t=-2.09, p=.039) and low PNI (t=-2.29, p=.024) groups. @*Conclusion@#Poorer preoperative nutritional status increased total length of hospital stay in elderly patients with pancreatic cancer. Assessment of nutritional status of patients using GNRI and PNI is a good strategy for evaluating elderly patients at high risk of having to stay in hospital for more extended periods of time.

Maternal Psychosocial Factors that Affect Breastfeeding Adaptation and Immune Substances in Human Milk

PURPOSE: This study was to identify relationships of maternal psychosocial factors including mother's mood state, childcare stress, social support and sleep satisfaction with breastfeeding adaptation and immune substances in breast milk, especially secretory immunoglobulin A (sIgA) and transforming growth factor-beta 2 (TGF-beta2). METHODS: Data were collected from 84 mothers who delivered full-term infants by natural childbirth. Structured questionnaires and breast milk were collected at 2~4 days and 6 weeks postpartum. Data were analyzed using descriptive statistics, Pearson's correlation, multiple linear regression, and generalized estimating equation (GEE). RESULTS: Scores for the breastfeeding adaptation scale were significantly related with child care stress, mood state and social support. Mother's anger was positively correlated with the level of sIgA in colostrum (p<.01). Immune substances of breastmilk was significantly influenced by time for milk collection (p<.001) and the type of breastfeeding (sIgA, p<.001, TGF-beta2, p=.003). Regression analysis showed that breastfeeding adaptation could be explained 59.1% by the type of breastfeeding, childcare stress, the Profile of Mood States, emotional support and sleep quality (F=16.67, p<.001). CONCLUSION: The findings from this study provide important concepts of breastfeeding adaptation program and explanation of psychosocial factors by immune substances in breast milk. Future research, specially, bio-maker research on breast milk should focus on the ways to improve breastfeeding adaptation.

Biobehavioral Characteristics and Risk Factors Related to Obesity in School Age Children Participating in a Health Camp

PURPOSE: The purpose of the study was to identify differences in physiological.psychological.environmental.behavioral characteristics between obese and control children participating in a health camp and to identify the factors related to childhood obesity. METHODS: Two hundred eighty seven children aged 6 to 12 years were recruited from a health camp for elementary students in D city, Korea. Data collection was done on November 28 and 29, 2009. Anthropometric measurements, blood tests, and self-report surveys were conducted. Chi-square test, independent t-test, ANCOVA, and multiple logistic regression were performed using PASW statistics 18.0. RESULTS: Obese children had adverse conditions for both physiological and psychological characteristics. In terms of environmental and behavioral characteristics, high maternal BMI and more than two hours of TV watching were significantly associated with high risk of childhood obesity (OR=1.11, 95% CI=1.02-1.21; OR=2.05, 95% CI=1.23-3.41). CONCLUSION: Through a multi-factorial approach, the current study identified the differences between obese and control children participating in a health camp and risk factors of childhood obesity. These findings provide preliminary data and perspectives on intervention research for prevention and management of childhood obesity.

Antituberculosis Drug Resistance in Korea , 1998-1999

No Abstract Available.