Purpose: To determine effect of working in the night shift system on nutritional status, anthropometric measurements, and risk of cardiovascular disease of health staff. Materials and Methods: This cross-sectional study was conducted between August-November 2017 at Samsun Ondokuz Mayıs University among 111 health staff. Data was collected with a questionnaire form including questions about demographic characteristics, nutritional status and anthropometric measurements. SPSS 21.0 statistical package program was used for statistical analysis and p<0.05 was considered statistically significant. Results: Based on waist circumference, 14.3% of men and 31.1% of women were at high risk, and based on waist/hip ratio, 4.8% of men and 33.3% of women were at risk of cardiovascular diseases. It has been shown that eating patterns are disrupted during shifts (89.2%), and 73.9% of participants cannot eat because their meals cool down during shifts. The difference in the numbers of main and snack meals consumed by health staff during the night shift was statistically significant (p<0.05). Body mass index, waist circumference, and hip circumference measurements decreased with increasing shift time. However, body mass index, waist circumference, and hip circumference increased as time spent in the profession increased. Conclusion: It was seen that night shift health staff are at risk of cardiovascular disease due to insufficient and unhealthy nutrition. It is clear that nutrition education programs are required for health staff working night shifts to reduce excess weight and obesity in this population.
This study aimed to investigate the relationship between vitamin D levels, biochemical findings, and body analysis data of adult individuals, and effects of seasonal vitamin D level differences on these relationships. Materials and Methods:In this retrospective study, medical records of 159 individuals who applied to Samsun Büyük Anadolu Hospital Nutrition and Dietary Polyclinic were examined. The serum 25(OH)D levels were defined as <10 ng/ml vitamin D deficiency; 10-20 ng/ml vitamin D insufficiency; and >20 ng/ml normal vitamin D level. Vitamin D levels were also divided into two according to seasons: summer and winter.Results: Of the 159 participants included in the study, 42 were overweight and 94 were obese. Vitamin D deficiency was found in 21.4% and vitamin D insufficiency was found in 35.2% of the patients. Winter vitamin D levels were significantly lower than summer vitamin D levels. Vitamin D levels decreased with increasing body fat mass and percentage, abdominal fat mass and percentage. Individuals with vitamin D deficiency had higher body mass index than individuals with vitamin D insufficiency. Vitamin B12 levels of individuals with vitamin D deficiency were found to be significantly lower. Aspartate aminotransferase levels of individuals with vitamin D deficiency were higher than individuals with vitamin D insufficiency. Conclusion:Vitamin D deficiency and insufficiency varies according to sunbathing times in summer and winter season and it is quite common in obese patients. Strategies should be developed to prevent and control obesity and to combat the inadequacy of vitamin D nutritional status.
Obesity, especially abdominal obesity, is one of the most important underlying risk factors for metabolic syndrome and increases the risk of developing various pathological conditions like Type 2 diabetes mellitus, dyslipidaemia, hypertension and non alcoholic fatty liver disease. Insulin resistance means that the ability of insulin to stimulate glucose utilization is reduced, it is an integral feature of the metabolic syndrome and an important predictor of Type 2 Diabetes Mellitus development. It is well known that obesity is associated with diabetes mellitus, and the main basis of this link is thought to be the ability of obesity to stimulate insulin resistance. In this study, we aimed to evaluate the relationship between insulin resistance and obesity, related biochemical parameters, body analysis data. In this retrospective case control study, the insulin resistance status of 120 volunteers was determined by calculating the Homeostatic Model Assessment-Insulin Resistance formula. Biochemical values and body analysis results of individuals with and without insulin resistance were compared. Insulin resistance was detected in 56 (%46.7) of the subjects participating in the study. Insulin resistance was significantly related with weight, body mass index, body fat mass (p<0.05). However, there was no correlation between insulin resistance and body fat percentage, abdominal fat percentage and abdominal fat mass (p>0.05). Fasting plasma glucose, insulin, triglyceride and alanine aminotransferase levels were found to be higher in individuals with insulin resistance (p<0.05). There was no significant relationship between insulin resistance and HbA1c percentages, cholesterol, AST and Vitamin B12 levels (p>0.05). In conclusion, considering the risks of diseases caused by insulin resistance, findings of this study emphasizes the importance of detecting insulin resistance.. Determining the presence of insulin resistance can help prevent a variety of diseases by regulating nutrition.
Obesity, especially abdominal obesity, is one of the most important underlying risk factors for metabolic syndrome and increases the risk of developing various pathological conditions like Type 2 diabetes mellitus, dyslipidaemia, hypertension and non alcoholic fatty liver disease. Insulin resistance means that the ability of insulin to stimulate glucose utilization is reduced, it is an integral feature of the metabolic syndrome and an important predictor of Type 2 Diabetes Mellitus development. It is well known that obesity is associated with diabetes mellitus, and the main basis of this link is thought to be the ability of obesity to stimulate insulin resistance. In this study, we aimed to evaluate the relationship between insulin resistance and obesity, related biochemical parameters, body analysis data. In this retrospective case control study, the insulin resistance status of 120 volunteers was determined by calculating the Homeostatic Model Assessment-Insulin Resistance formula. Biochemical values and body analysis results of individuals with and without insulin resistance were compared. Insulin resistance was detected in 56 (%46.7) of the subjects participating in the study. Insulin resistance was significantly related with weight, body mass index, body fat mass (p<0.05). However, there was no correlation between insulin resistance and body fat percentage, abdominal fat percentage and abdominal fat mass (p>0.05). Fasting plasma glucose, insulin, triglyceride and alanine aminotransferase levels were found to be higher in individuals with insulin resistance (p<0.05). There was no significant relationship between insulin resistance and HbA1c percentages, cholesterol, AST and Vitamin B12 levels (p>0.05). In conclusion, considering the risks of diseases caused by insulin resistance, findings of this study emphasizes the importance of detecting insulin resistance.. Determining the presence of insulin resistance can help prevent a variety of diseases by regulating nutrition.
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