ABSTRACT
OBJECTIVES: This study examined the effects of nutrition education on the nutritional status, including eating habits and quality of life in gastric cancer patients undergoing a gastrectomy. METHODS: Thirty one out-gastric resection patients at C University Hospital in Gwangju, Korea were enrolled in this study. The patients received an individualized nutritional counseling session, and the effects were assessed before and after a 3-month nutrition education intervention. Nutrition education for gastric cancer outpatients included the dietary guidelines (e.g., food intake), the level of nutrient intake, and nutrition support. RESULTS: The patients had significantly improved serum albumin and hematocrit levels after nutrition education. Of the dietary habits, the meal time and amount of food compared to the first education were increased significantly. Of the changes in the food intake frequency, fish and meat, and vegetables and fruits intake were increased, but not at a statistically significant level. The score of eating habits related to the gastrectomy was improved significantly after nutrition education from 31.7 to 34.5. The composite scores for the quality of life were also improved significantly after the nutrition education program. CONCLUSIONS: The nutrition education for gastric cancer outpatients may be crucial and efficient for improving their lifestyle.
Subject(s)
Humans , Counseling , Eating , Education , Feeding Behavior , Fruit , Gastrectomy , Hematocrit , Korea , Life Style , Meals , Meat , Nutrition Policy , Nutritional Status , Outpatients , Quality of Life , Serum Albumin , Stomach Neoplasms , VegetablesABSTRACT
OBJECTIVES: This study examined the effects of nutrition education on the nutritional status, including eating habits and quality of life in gastric cancer patients undergoing a gastrectomy. METHODS: Thirty one out-gastric resection patients at C University Hospital in Gwangju, Korea were enrolled in this study. The patients received an individualized nutritional counseling session, and the effects were assessed before and after a 3-month nutrition education intervention. Nutrition education for gastric cancer outpatients included the dietary guidelines (e.g., food intake), the level of nutrient intake, and nutrition support. RESULTS: The patients had significantly improved serum albumin and hematocrit levels after nutrition education. Of the dietary habits, the meal time and amount of food compared to the first education were increased significantly. Of the changes in the food intake frequency, fish and meat, and vegetables and fruits intake were increased, but not at a statistically significant level. The score of eating habits related to the gastrectomy was improved significantly after nutrition education from 31.7 to 34.5. The composite scores for the quality of life were also improved significantly after the nutrition education program. CONCLUSIONS: The nutrition education for gastric cancer outpatients may be crucial and efficient for improving their lifestyle.
Subject(s)
Humans , Counseling , Eating , Education , Feeding Behavior , Fruit , Gastrectomy , Hematocrit , Korea , Life Style , Meals , Meat , Nutrition Policy , Nutritional Status , Outpatients , Quality of Life , Serum Albumin , Stomach Neoplasms , VegetablesABSTRACT
OBJECTIVES: This study was conducted to investigate the job stress factors, psychosocial stress and their associations in workers engaged in the research and development of vehicles, and according to job role. METHODS: We recruited 4,066 subjects from workers at a research and development center of an automobile company. A total of 2,764 workers answered the questionnaire about socio-demographic factors, health behaviors, work-related factors, subjective labor intensity, KOSS, and SF-PWI. The final analysis included 2,282 male manufacturing and research workers. Univariate analyses and multiple logistic analyses were conducted on the complete questionnaire data to compare the job stress factors, psychosocial stress and their associations between research and manufacturing workers. RESULTS: The adjusted Odds ratios comparing the high risk group to the low risk group regarding PWI group were 2.23(95%CI=1.63-3.04) in "Lack of rewards", 1.64(95%CI=1.20-2.24) in "Interpersonal conflict", 1.59(95%CI=1.15- 2.20) in "Organizational injustice", 1.58(95%CI=1.17-2.14) in "Occupational climate" and 1.43(95%CI=1.05-1.94) in "Job insecurity" among research workers, and 2.46(95%CI=1.59 -3.80) in "Lack of rewards" and 1.94(95%CI=1.17-3.22) in "Organizational injustice" among manufacturing workers. CONCLUSIONS: There are differences in job stress factors between research and manufacturing workers. Further studies and discussions based on quantitative methodology for seeking more fundamental causes of these differences are required to establish job stress intervention plans and policies.