ABSTRACT
BACKGROUND: The population attributable risk (PAR) percent has used widely in public health policy. We aimed to calculate the attribute risk of hypertension due to hyperuricemia by Levin's formulas compare to direct PAR calculation method. METHODS: This was a sub-study of Yazd Healthy Heart Cohort (YHHC). Overall, 1256 normotensive individuals were enrolled through multistage randomized cluster sampling and followed up for mean 9.8 years, from 2005-2015. The threshold cutoff point of the hyperuricemia was considered equal and more than 75th percentile that equal to 5.5 mg/dl for men and 4.3mg/dl for women. To calculate the attributable risk of hyperuricemia in developing hypertension, two methods were applied. Levin's formulas and direct PAR estimation by population risk calculation via exposure prevalence weighted formula. Multiple logistic regression was used for estimate of odds ratio (OR) of hyperuricemia in developing hypertension. We calculated Relative Risk (RR) from OR. The data were analyzed using SPSS software version 16. A significant level of 0.05 was considered. RESULTS: Hypertension developed in 44.7% of individuals with uric acid level ≥ 75th percentile vs. 35.6% of other individuals (P=0.024). Attributable risk (AR) of hyperuricemia in hypertension incidence was 9.1%. PAR of hyperuricemia for hypertension incidence by using two methods mentioned before was 6%, 5.8% respectively. CONCLUSION: The results of the study confirmed the noticeable contribution of hyperuricemia as an independent other risk factor for the occurrence of hypertension. PAR of hyperuricemia for hypertension incidence by using two methods almost near was 6%, 5.8% respectively.
ABSTRACT
BACKGROUND AND OBJECTIVES: Diabetes Mellitus (DM) is a metabolic disease characterized by chronic hyperglycemia, which occurs due to insufficient production of insulin by the pancreas or resistance to insulin produced by the body. The most dangerous and Long-term complications of diabetes include renal failure, heart failure, cardiovascular disease, stroke, diabetic foot ulcers, and diabetic neuropathy. MATERIALS AND METHODS: This longitudinal cohort study was conducted on 1641 non-diabetic people of 2000 participants enrolled in phase I of Yazd Healthy Heart project (YHHP) aged 20-74 year-old resident of the city of Yazd. They were selected randomly through cluster sampling method and included in follow up a project for ten years (2004-2014). In order to analyze the data, Chi-Square, independent t-test and logistic regression statistical models were used through the SPSS Ver20. RESULTS: The incidence rate of DM type II among the people aged 20-74 years in Yazd was 21.4 per 1000 of a population-year. Univariate analysis revealed that the relative risk of DM incidence increased by smoking, increasing BMI, abdominal obesity, hypertension, and increased cholesterol, triglyceride and uric acid levels (pâ¯<â¯0.0001). Variables with a significant p-valueâ¯<â¯0.05 using the univariate analysis were included in the logistic regression model. Age, family history of diabetes mellitus in relatives, abdominal obesity, triglyceride values greater than 150 and uric acid more than the 75th percentile were recognized as independent risk factors of diabetes. CONCLUSION: In the present study, Age, family history of DM, abdominal obesity, high triglycerides, and high uric acid are the most important risk factors for diabetes.