Uric acid to HDL ratio: A marker for predicting incidence of metabolic syndrome in patients with type II diabetes.

BACKGROUND AND AIM: Metabolic syndrome (MetS) refers to existence of a set of risk factors for developing cardiovascular disease and diabetes. Recently, uric acid to HDL ratio has attracted attention in predicting development of diabetes and incidence of metabolic syndrome in diabetic individuals. This study was performed to investigate UHR in patients with type II diabetes as a predicting factor for metabolic syndrome. METHODS AND RESULTS: This descriptive-analytical study examined 300 patients with type II diabetes referring to diabetes clinic of Ali-Ibn Abi-Talib hospital, Rafsanjan city in 2021, selected through convenient sampling. Data were collected by a research-made checklist (including demographic, clinical and laboratory parameters) and analyzed by SPSS 24 and chi-square, Fisher exact test, independent paired t-test, one-way analysis of variance (ANOVA), Mann-Whitney U, and receiver operating characteristic (ROC). The findings revealed that 74.33 % (95 % CI: 69 to 79.18 %) of the patients had metabolic syndrome. Further, patients with metabolic syndrome demonstrated a significantly higher mean UHR ratio and triglyceride levels compared to their counterparts without the syndrome (p = 0.002 and p < 0.001, respectively). The ROC analysis identified a UHR threshold of 8.118 % with a sensitivity of 70.32 % and specificity of 55.08 % for diagnosing metabolic syndrome development in type II diabetes (AUC: 0.621, P = 0.001, 95%CI: 0.549-0.694). CONCLUSION: The results of the present study revealed that the prevalence of metabolic syndrome was high in diabetic patients. UHR showed good sensitivity in the diagnosis of metabolic syndrome in type II diabetes. Thus, regular monitoring of laboratory tests is recommended in patients with diabetes.

Study On Social Support for Exercise And Its Impact on the Level of Physical Activity of Patients with Type 2 Diabetes.

BACKGROUND: Physical activity is one of the most important self-care approaches to controlling complications of type 2 diabetes. According to Bandura's social theory, factors such as social support are effective factors in the incidence of the behaviour. AIM: This study aims to determine the level of physical activity, social support and their determinants. METHODS: This descriptive study was performed on 250 patients with type 2 diabetes by Cluster-Random Sampling method in Rafsanjan City. Data were collected using the International Physical Activity Questionnaire and Social Support Questionnaire for Sport, that their validity and reliability were confirmed. The results were analysed by t-test, ANOVA and logistic regression. RESULTS: This study showed that 46.8% of the patients were in the inactive group. Social support score for exercise was low in this group. The results indicated that social support and gender are predictors of physical activity, and with an increase in the social support score, the odds of having minimal physical activity increased 1.17 fold (OR = 1.167) and men were 4.18 times more likely to have minimal physical activity (OR = 4.183). CONCLUSION: Considering the low level of physical activity and social support in diabetic patients, and the effect of social support on the prediction of physical activity, interventions are recommended to increase social support in this group.

The Predictive Effects of Protection Motivation Theory on Intention and Behaviour of Physical Activity in Patients with Type 2 Diabetes.

INTRODUCTION: Theory-based education tailored to target behaviour and group can be effective in promoting physical activity. AIM: The purpose of this study was to examine the predictive power of Protection Motivation Theory on intent and behaviour of Physical Activity in Patients with Type 2 Diabetes. METHODS: This descriptive study was conducted on 250 patients in Rafsanjan, Iran. To examine the scores of protection motivation theory structures, a researcher-made questionnaire was used. Its validity and reliability were confirmed. The level of physical activity was also measured by the International Short - form Physical Activity Inventory. Its validity and reliability were also approved. Data were analysed by statistical tests including correlation coefficient, chi-square, logistic regression and linear regression. RESULTS: The results revealed that there was a significant correlation between all the protection motivation theory constructs and the intention to do physical activity. The results showed that the Theory structures were able to predict 60% of the variance of physical activity intention. The results of logistic regression demonstrated that increase in the score of physical activity intent and self - efficacy increased the chance of higher level of physical activity by 3.4 and 1.5 times, respectively OR = (3.39, 1.54). CONCLUSION: Considering the ability of protection motivation theory structures to explain the physical activity behaviour, interventional designs are suggested based on the structures of this theory, especially to improve self -efficacy as the most powerful factor in predicting physical activity intention and behaviour.