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Introduction: There are conflicting reports concerning the effects of magnetic fields (MF) on different aspects of vitality. We have studied the effects of a 0.05 Tesla MF on the growth and blood glucose levels of mice. Materials and methods: Twenty-two young BALB/C strain mice were divided into two groups. The experimental group was exposed to a constant homogenous MF of 0.05 Tesla inductance for ten hours a day for ten days. The MF was induced by two blades of permanent magnets. The control group were in similar conditions except for MF exposure. The weight of both groups were measured ten days before, during and ten days after the experiment. Following this, the experimental group was again exposed to the same MF for fifteen days. Then blood sampling from both groups was done by decapitation. Results: Weight gain of the exposed group was 0.30.03 (MeanSEM) grams per day which was insignificantly higher than the control group (0.250.03 gram per day). There was no significant difference in the blood glucose levels of the two groups (114.38.81 mg/dL vs 113.814.64 mg/dL). Conclusions: Previous reports indicate that constant MFs of 0.001 and 0.01 Tesla induced by electromagent increase blood glucose levels. There are similar reports about the effects of 0.9 Tesla MF on weight loss. These experiments lack control for mechanical or sonic frequency vibrations or temperature produced by electromagnets. We conclude that constant MF with theintensity s we used has no dangerous effect on growth and blood glucose levels.

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Introduction: Diabetes Mellitus (DM) is the most common chronic and non-communicable disease, with many complications including renal failure, blindness and non traumatic amputation. Prevention of DM is possible through monitoring and control of blood glucose levels. Considering how easy home blood glucose monitoring is, we decided to evaluate the performance of two available glucometers for detection of blood glucose compared with standard laboratory methods. Material and Methods: In this study, we compared of capillary blood glucose levels of 402 patients as determined by test strips (Glucometer) with venous blood glucose levels measurements by the enzymatic method (the standard laboratory kit). Results: Of the 402 patients studied, there were 230 (57.2%) males and 172 (42.8%) females 65 (16.2%) had past history of DM. Their mean age was 40.2 ± 14.9 years (range 3-70), mean BMI was 24.4±3.2 Kg/m2 and mean HCT was 45.4±4.1 percent. The mean blood glucose measurements reported using the Glucomen glucometer, the Prestic glucometer and the standard laboratory method were 128.0±45.2mg/dl, 127.4±45.9 mg/dL and 125.3±43.2 mg/dL, respectively with increase of HCT (polycytemia) sensivity of devices for detection of hyperglycemia (BS ≥ 126 mg/dl) was increased but specificity was decreased (64.7%). Results obtained using the 2 devices had no differences with the standard method levels. Conclusion: Good correlation was observed between the glucometer and the standard enzymatic method of blood glucose measurements, advocating usage of glucometers at home environments.

 

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Introduction: Health care system barriers are major barriers to management and control of blood glucose level control. Documenting the viewpoints of patients, their families and the medical team, on these barriers is an important step towards correct planning and effective control of blood glucose. This study aimed to document and compare viewpoints of patients, their families and medical team about health care system barriers to control of glucose levels in diabetes centers of Isfahan city. Materials and Methods: This was a descriptive- comparative, cross-sectional, one stage, study of three groups, in which a total of 938 subjects, including 420 type2 diabetic patients, 420 members of their families and 98 medical staff participated. Data were collected using a researcher-designed questionnaire that was completed by subjects. Data were analyzed using descriptive and inferential statistical methods and SPSS software. Results: Results showed significant differences between viewpoints of the 3 groups, i.e. patients, their families and the medical team regarding barriers of the health care system to blood glucose control (P-value<0.001). The medical team gave the highest importance to these barriers, while patients gave the lowest. Conclusion: Regarding the significant differences between the viewpoints of these three groups, it can be concluded these differences account for lack of success in controlling patient glucose levels, because medical teams focus on barriers that are not so important to patients and their families, while barriers which are important to patients and their families are less considered by members of the medical team.