Showing 7 results for Hypertension
Ma Hosseinpour Feizi , M Mosaferi , S Dastgiri , Sh Zolali , N Pouladi , P Azarfam ,
Volume 3, Issue 3 (2-2008)
Abstract
Background & Objectives: Arsenicosis is a serious environmental disease caused by chronic exposure to arsenic- usually from drinking water. Signs and symptoms of chronic arsenic poisoning include hyperkeratosis, hyper- or hypopigmentation, and ulcers. Also, the incidence of cancer is increased in the exposed population. There is some evidence of high arsenic levels in drinking water in the village of Ghopuz, located in Hashtrud District, East Azerbaijan province. We evaluated the genetic and health effects of chronic arsenic exposure in the residents of Ghopuz.
Methods: In this cross-sectional study we determined the prevalence of hyperkeratosis, hyperpigmentation and hypertension in Ghopuz village. The study involved 101 individuals in Ghopuz and 107 in the adjacent village of Mayan, who were all visited by a trained physician. A total of 46 blood samples were collected for kariotyping. The level of heavy metals in water was determined by the Inductively Coupled Plasma (ICP) method.
Results: We detected high arsenic levels in the drinking water at Ghopuz (mean concentration in water = 1.03 mg/L). There were chromosomal defects in the exposed group. Mean systolic blood pressure at Ghopuz (137mmHg, 95% CI: 132-142) was significantly higher than in Mayan (107, 95% CI: 99.9-114). Also, mean diastolic blood pressure at Ghopuz (82, 95% CI: 79-85) was significantly higher than in Mayan (71, 95% CI: 66-75). Hyperkeratosis was 34 times more frequent in the exposed population (OR = 34, P< 0.001). Also, hyperpigmentation was significantly more frequent in the exposed population (OR = 2.4, P < 0.007).
Conclusions: Water arsenic and nitrate levels at Ghopuz were higher than the maximum permissible levels. The prevalence of skin lesions and hypertension is increased at Ghopuz village due to arsenic exposure. There is also some evidence of chromosomal defects in the exposed group. Affected people need appropriate medical care, and safe drinking water should be provided to reduce arsenic exposure.
A Ahmadi, J Hasanzadeh, A Rajaefard,
Volume 4, Issue 2 (9-2008)
Abstract
Background & Objectives: Hypertension is one of the most prevalent and important risk factor of cardio-vascular diseases. The aim of this research was to determine relative factors on hypertension in Kohrang.
Methods: This survey was a population – based case - control study. The study population consisted of 415 patient with hypertension (cases) and 415 controls without any history of cardiovascular and or cerebrovascular diseases & hypertension. A systematic random sampling was used. The chi-square test and conditional logistic regression model was used and the data were analyzed by STATA.
Results: Family history of hypertension, age over 60, no physical activity, bmi≥30 were calculated as risk factors with odds ratio: 2.33 (95% CI 1.58-3.47), 2.01(95% CI 1.24-2.67), 1.8 (95% CI 1.2-2.7), 1.66 (95% CI 1.32-2.07) respectively (p<0.05). Fish consumption, unsaturated fat consumption and literacy were considered as protective factors with an odds ratio: 0.516 (95% CI 0.35-0.69), 0.514 (95% CI 0.36-0.72), 0.28 (95% CI 0.17-0.45) respectively (p<0.01).
Conclusions: The findings of this study highlight to plan appropriate health promotion programmes by health policy makers.
A Biderafsh, M Karami, J Faradmal, J Poorolajal, N Esmailnasab,
Volume 10, Issue 3 (12-2014)
Abstract
Background & Objectives : Considering the high prevalence of hypertension and its increasing trend in Iran as the most important known modifiable risk factor of stroke, this study was performed to determine the pattern of hypertension and the related population attributable fraction (PAF) of stroke in Hamadan Province.
Methods: Blood pressure data of over-19-year-old population of Hamadan Province from 2005 to 2009 was extracted from the non-communicable diseases risk factors surveillance system . The point prevalence and 95% confidence interval (95% CI) of hypertension was reported in the study population according to sex and age groups. The trend of hypertension was depicted using a line plot. To calculate PAF, the data of the prevalence of hypertension in 2009 was used. Corresponding hazard ratio was obtained from the available literature.
Results : The prevalence of hypertension was 9.4 (8.2 – 10.6) in 2005, 7.5 (5.9 – 9.3) in 2006, 14.2
(12.1 – 16.5) in 2007, 13.8 (11.7 – 16.1) in 2008, and 12.2 (10.3- 14.5) in 2009. The mean and standard deviation of systolic blood pressure was 120.88 (19.73) and 124.19 (19.24) in the participants in 2005 and 2009, respectively. The study results showed that 19.84% of the strokes in Hamadan Province were due to hypertension .
Conclusion: The results of this study confirmed the considerable contribution of hypertension to stroke in Hamadan Province. Accordingly, policy makers are strongly recommended to consider controlling and preventive strategies for hypertension as a priority .
M Teimouri , E Ebrahimi, Sm Alavinia,
Volume 11, Issue 4 (3-2016)
Abstract
Background and Objectives: Diabetic patients are always at risk of hypertension. In this paper, the main goal was to design a native cost sensitive model for the diagnosis of hypertension among diabetics considering the prior probabilities.
Methods: In this paper, we tried to design a cost sensitive model for the diagnosis of hypertension in diabetic patients, considering the distribution of the disease in the general population. Among the data mining algorithms, Decision Tree, Artificial Neural Network, K-Nearest Neighbors, Support Vector Machine, and Logistic Regression were used. The data set belonged to Azarbayjan-e-Sharqi, Iran.
Results: For people with diabetes, a systolic blood pressure more than 130 mm Hg increased the risk of hypertension. In the non-cost-sensitive scenario, Youden's index was around 68%. On the other hand, in the cost-sensitive scenario, the highest Youden's index (47.11%) was for Neural Network. However, in the cost-sensitive scenario, the value of the imposed cost was important, and Decision Tree and Logistic Regression show better performances.
Conclusion: When diagnosing a disease, the cost of miss-classifications and also prior probabilities are the most important factors rather than only minimizing the error of classification on the data set.
F Zayeri, M Amini, H Hasanzadeh,
Volume 13, Issue 4 (3-2018)
Abstract
Background and Objectives: Shift work as a pervasive phenomenon in various industrial sectors is one of the most stressful factors in the workplace. Considering the contradictory reports on the relationship of shift work and hypertension, the main objective of the present study was to investigate the relationship between these two variables among petrochemical industry staff of Mahshahr, Iran.
Methods: In this longitudinal study, 3254 petrochemical staff were investigated during 2008-2011. According to work schedule, shift workers were divided into two groups of shift work and day work (1872 day workers and 1382 shift workers). The aim of this research was to assess the effect of shift work on hypertension by adjusting confounding variables such as gender, age, body mass index, and smoking. The data were analyzed using a random-effects logistic regression model.
Results: Of 3254 (3142 males and 112 females) subjects, 37.85% (860 subject) were hypertensive. The random effects model, with controlling covariates, showed no significant relationship between shift work and hypertension (OR=1.04, 95% CI= (0.98, 1.10). Moreover, the variance of the random effects was significant.
Conclusion: Generally, according to the results of this study, shift work is not a significant risk factor for hypertension.
H Tireh, R Yousefi, Sb Mazloum Shahri , Mt Shakeri,
Volume 14, Issue 3 (12-2018)
Abstract
Background and Objectives: Hypertension is a major global issue due to its consequences. Ordinary regression models have limitations in assessment of hypertension since the reference graph derived from a specific population may not be appropriate for another population. The polynomial quantile regression model is considered as a possible alternative. Hence, this study was conducted with the aim of determining reference values as well as blood pressure percentile curves in Mashhad.
Methods: This cross-sectional study was carried out in a random sample of 6949 individuals attending Samen health centers for diabetes screening in 2010. Different percentiles were analyzed using some variables such as gender, age, BMI, WHR, and systolic and diastolic blood pressure. The R software (version 3.0.1) was used for data analysis.
Results: In this study, 70.58% and 29.42% of subjects were men and women, respectively. The results of the quantile regression model showed that with an increase in age, BMI, and WHR, blood pressure increased in all percentiles. In all variables, subjects in the 75th and 95th percentiles had moderately high and high blood pressure while they had a normal blood pressure in other percentiles.
Conclusion: The model provided more information about blood pressure and its related patterns. According to the results, it seems that more attention should be paid to elderly and overweight individuals in the 75th and 95th percentiles.
A Alipour, F Yasari, S Khodakarim, A Shokri,
Volume 15, Issue 1 (5-2019)
Abstract
Background and Objectives: Chronic renal failure (CRF) is an irreversible disorder of the renal function. The aim of this study was to describe the features of patients with chronic renal failure and the factors associated with this disease among hemodialysis patients in a hospital in Tehrn in 2016.
Methods: In this cross-sectional descriptive study, patients presenting to the hemodialysis department of Shahid Ayatollah Ashrafi Esfahani Hospital who underwent continuous hemodialysis treatment for at least three months were studied. Data were gathered from the medical records of the patient s and, if necessary, additional interviews were conducted with the patients. Data were analyzed with descriptive and inferential statistics using the Stata software version 14.
Results: Of 359 patients, 230 (64.07%) were male with a mean age of 58.1 ± 1.09 years. The frequency (frequency percentage) of the most commonly known possible causes of renal failure was hypertension 91 (25.35%), hypertension and diabetes 84 (23.43%), and diabetes 78 (21.73%). The mortality rate was higher in diabetic patients compared to non-diabetic patients (50% vs 38.55%).
Conclusion: The main cause of chronic renal failure is hypertension and diabetes, and the mortality rate is higher in these patients than in other patients.
