ABSTRACT
To investigate the relationship between neck circumferences and cardiovascular risk factors in patients with acute coronary syndrome. In a cross-sectional study, 100 patients with acute coronary syndrome in Kerman hospitals were assessed by measuring their neck circumference and risk factors of cardiovascular disease. The data were analyzed by student t -test, Man-Whitney U test, chi[2] and Pearson and Spearman correlation tests. The mean of neck circumference in men with body mass index [BMI] >/= 25 kg/m[2] was 39.63 +/- 3.02 cm and for women it was 36.47 +/- 2.00 cm. The mean of neck circumference in overweight group was 42.70 +/- 2.99 cm for men and 38.66 +/- 3.28 cm for women. Neck circumference >/= 41.5 cm for men and >/= 36.5 cm for women were the best cutoff levels for determining the patients with BMI >/= 25 kg/m[2]. There were some associations between some cardiovascular disease risk factors. These risk factors were usually related to increasing weight. Because of fat accumulation in neck during weight gaining, this index can be used as a simple and easy screening way to recognize people with high weights
ABSTRACT
Nowadays technology development has remarkable and undeniable effects on caring. The aim of this study was to evaluate the effect of telenursing [cellphone software] on metabolic control of patients with Type 2 Diabetes Mellitus. It was a clinical trial with IRCT201009114728N1 Registration Code. In the spring of 2011 from patients of Valiasr hospital department of endocrinology 60 patients were chosen and randomly allocated in two groups. The Demographic questionnaire was completed by them. Blood sample for A1c hemoglobin was taken from patients. In the intervention group cellphone software was installed on the personal mobile of participants. The data was analyzed by t-test and SPSS 21. The pre and post A1c hemoglobin was -0.58 +/- 0.77 and -0.19 +/- 0.51 respectively and this difference was significant [P<0.05]. The result indicated that telenursing by using cellphone software can have positive effect on metabolic control of patients with Type 2 Diabetes Mellitus. This technology can persuade patients and health team members to follow up caring of these patients more effectively.