Showing 8 results for Esmailnasab
S Mehrabi, A Delavari, Gh Moradi, Esmailnasab N Esmailnasab, A Pooladi, S Alikhani, F Alaeddini,
Volume 3, Issue 1 (21 2007)
Abstract
Background & Objectives: Tobacco smoking is known to cause a huge burden of disease throughout the world: smoking is responsible for 4 million deaths per year. This study is performed in order to fill the existing gaps in information regarding current trends for lifestyle and tobacco-related disease in Iran.
Methods: This was a cross-sectional study performed with the help of a questionnaire and using a multi-stage cluster sampling method. The final sample size, after the screening of the data, was 84706 out of 89457 records.
Results: From a total of 84706 people in this study, 49.7% were men, 52% were uneducated and 64.8% cane from urban areas 79.9% did not smoke, 15.3% smoked actively, 2.1% were non-active smokers and 2.7% were ex-smokers. The prevalence of smoking was higher in people aged 35 to 64 years (P<0.001). Quitting rates increased with age, especially in women (P<0.001). Smoking was more prevalent in men (P<0.001) and in rural areas (P<0.001). The average number of cigarettes smoked per day was 14.69. Smoking prevalence was lower among adults with higher levels of education compared to those with lower education levels (P<0.001).
Conclusions: This nationwide survey provides a baseline for future longitudinal studies of smoking in Iran. There is a need for effective smoking prevention and cessation programs with a focus on the young population.
N Esmailnasab, A Afkhamzadeh, A Ebrahimi ,
Volume 6, Issue 1 (20 2010)
Abstract
Background & Objectives: According on surveys in Iran more than two million persons have non insulin diabetes mellitus. There are evidences that good glycemic control reduces the risk of diabetic complications. This study was designed to evaluat the glycemic control by using fasting blood sugar and hemoglobin A1C estimation and their relation with some variables.
Methods: This cross sectional study carried out on 411 people with type 2 diabetes who referred to Tawhid diabetes center in Sanandaj. Demographic and other variables were gathered by a deigned questionnaire. Univariate analysis and multivariate analysis (logistic regression) were used.
Results: In Univariate analysis FBS showed a significant relationship with education, job and referral style and HgA1c was statistically significant with sex, age, education, and job. But logistic regression showed other
Results: in final model FBS and HgA1c were associated with body mass index and referral style and HgA1c had association with only body mass index and referral style. Correlation confidence between FBS and glycated hemoglobin was (r = 0.54).
Conclusions: It is concluded that BMI and referral style have association with diabetes control.
M Karami, H Soori, Y Mehrabi, Aa Haghdoost, Mm Gouya, N Esmailnasab,
Volume 9, Issue 2 (Vol 9, No 2, Summer 2013 2013)
Abstract
Background & Objectives: Timely response to emerging diseases and outbreaks are a major public health and health systems priority. There are few published studies that evaluate the performance of cumulative sum (CUSUM) on identical data using semi- synthetic simulation approach. This study was undertaken to determine the performance of the CUSUM in timely detection of 831 days of simulated outbreaks.
Methods: We evaluated the performances of the CUSUM as an outbreak detection method on simulated outbreaks injected to daily counts of suspected cases of measles as baseline data in Iran between 21 March 2008 till 20 March 2011. Data obtained from the Iranian national surveillance system. The performance of algorithms was evaluated using sensitivity, false alarm rate, likelihood ratios and Area under the Receiver Operating Characteristic (ROC) curve.
Results: Generally the sensitivity of the CUSUM algorithm in detecting simulated outbreaks was 50%
(95% CI: 47- 54). The corresponding values are disaggregated according to outbreak size, shape and duration. The CUSUM algorithm detected the half of outbreaks after 13.84 days on average.
Conclusion: We concluded that CUSUM algorithm performed good in detection of large outbreaks with short periods and poorly in detecting long period outbreaks, particularly those simulated outbreaks that did not begin with a surge of cases.
A Biderafsh, M Karami, J Faradmal, J Poorolajal, N Esmailnasab,
Volume 10, Issue 3 (Vol 10, No.3 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 .
K Jafari, M Karami, A Soltanian, N Esmailnasab,
Volume 12, Issue 2 (Vol 12, No 2 2016)
Abstract
Background and Objectives: Syndromic surveillance systems are used to early detection of outbreaks. The purpose of this study was to determine the feasibility of clinical and non-clinical data sources used in influenza syndromic surveillance in Zanjan.
Methods: In this time series study, clinical and non-clinical data related to influenza like illness (ILI) as a potential data source of syndromic surveillance systems, including the number of missed school days collected from 12 schools and the data of over the counter (OTC) drug sale obtained from 15 pharmacies selected randomly in Zanjan during 2014 were used. We used the line plot and moving average chart to explore trends and detect potential explainable patterns of data sources. The autocorrelation function and cross correlation function besides corresponding graphs were used to assess the feasibility of school absenteeism and OTC sale in timely detection of influenza outbreaks.
Results: Line plots indicated the presence of explainable patterns and the effect of the day of the week. The cross correlation value was 0.5 and cross correlogram revealed the similarity of both data sources in this study.
Conclusion: Our findings indicated the feasibility of influenza data sources, including school absenteeism and OTC, as potential data sources of syndromic surveillance systems.
S Sharifi, M Karami, N Esmailnasab, Gh Rooshanaei, Farsan,
Volume 12, Issue 4 (Vol.12, No.4 2017)
Abstract
Background and Objectives: Cardiac diseases are a major cause of death in Iran. The number of deaths from cardiac diseases can be reduced through controlling air pollution. The aim of this study was to determine the relationship between increased air pollution and mortality from respiratory and cardiac diseases in Tehran.
Methods: The average daily concentrations of five pollutants, including carbon monoxide (CO), nitrogen dioxide (NO2), ozone (O3), sulfur dioxide (SO2), and particulate matter less than 10 microns (PM10) were collected from 8 stations in Tehran, Iran. Then, their effects on the number of daily deaths due to cardiovascular and respiratory diseases were calculated using time series and Poisson GLARMA model (generalized linear autoregressive moving average). The climatic elements such as mean, maximum, and minimum temperature and daily humidity were considered as confounding factors.
Results: After adjustment for potential confounding variables of the final model of the pollutants, the mean daily ozone level (P = 0.02) and particulate matters less than 10 microns (P <0.001) had a significant correlation with the number of daily deaths.
Conclusion: According to the results of this study that addressed the relationship between air pollutants and death using new statistical methods, it is necessary to take more effective measures to control ozone and particulate matters less than 10 microns to reduce the mortality of heart and respiratory diseases in Tehran.
E Goodarzi, Gh Moradi, A Khosravi, N Esmailnasab, B Nouri, A Delpisheh, E Ghaderi, D Roshani,
Volume 14, Issue 2 (Vol.14, No.2, 2018)
Abstract
Background and Objectives: Life satisfaction is one of the important dimensions of health, which is influenced by health determinants. The aim of this study was to investigate the status of socioeconomic inequalities in satisfaction with life in women aged 15-54 in Iran.
Methods: In this cross-sectional study, randomized multistage cluster sampling with equal clusters was done to select the participants. A total of 35,305 women aged 15-55 were enrolled in the study. Data analysis was done in two stages. In the first stage, social and economic inequalities were investigated using the concentration index and concentration curve method. In the second stage, a multilevel method was used to identify the determinants.
Results: The mean life satisfaction was 12.81±4.23. The concentration index for dissatisfaction with life was -0.06 [95% CI: -0.1, -0.02], indicating dissatisfaction with life in low socioeconomic groups. The results of multilevel analysis showed that age, marital status, occupation, place of living, education, and the economic class correlated with dissatisfaction with life in women (P<0.05).
Conclusion: There is inequality in dissatisfaction with life. Dissatisfaction is concentrated in the poorer groups of the society and varies in different provinces. Socioeconomic variables affect inequality in satisfaction with life in women, which need to be addressed to reduce inequalities.
J Mohammadi Bolbanabad , A Mohammadi Bolbanabad , S Valiee, N Esmailnasab, F Bidarpour, G Moradi,
Volume 15, Issue 1 (Vol.15, No.1 2019)
Abstract
Background and Objectives: The Family Physician (FP) plan was implemented in rural areas and cities with a population of less than 20000 in 2005. The purpose of this study was to explain the challenges and obstacles of¬ the Rural Family Physician Program in Kurdistan Province from the perspective of stakeholders.
Methods: This qualitative study was conducted using 30 semi-structured interviews and 5 focused group discussions (FGD) with stakeholders of the FP plan from June 2017 to Jan 2018. The participants were selected through a purposive sampling method with maximum variation. The contents of the interviews and FGD were categorized by the content analysis method using MAXQDA10 software (V. 10).
Results: The challenges and obstacles of the FP plan were categorized into 16 subcategories and 5 main categories. The main categories were stewardship challenges, service delivery challenges, cultural and educational challenges, human resource challenges, and infrastructure challenges. The most important subcategories of these challenges included weaknesses in policy-making, formation of laws and regulations, weaknesses in insurance performance, weaknesses in intra-sector coordination, weaknesses in the referral system, weaknesses in communicating the plan to the community, low survival of physicians, inadequate motivational mechanisms, and weaknesses in the information system.
Conclusion: The rural FP plan faces many challenges that require multi-dimensional interventions. Identifying the challenges of the FP plan from the perspective of its stakeholders can help to gradually improve the plan.
