Showing 5 results for Heshmat
R Heshmat, A.a Keshtkar, R Sheykh-Ol-Eslam, M Baghery, A Nadim,
Volume 1, Issue 1 (3 2005)
Abstract
Background and Objectives:To compare three different methods of signal detection applied to the Adverse Drug Reactions registered in the Iranian Pharmacovigilance database from 1998 to 2005.
Materials and Methods:All Adverse Drug Reactions (ADRs) reported to Iranian Pharmacovigilance Center from March 1998 through January 2005, were included in the analysis. The data were analyzed based on three different signal detection methods including Reporting Odds Ratios (PRRs), Bayesian Propagation Neural Network (BCPNN) and Reporting Odds Ratios (RORs). Signals detected by each method were categorized based on the number of reports per drug-adverse event combination, severity of the event and labeled or unlabeled ADRs. The methods applied to signal detection were then compared in recognizing different types of adverse events.
Results: A total of 6353 cases of ADR reports, describing 11130 reactions, were reported to Iranian Pharmacovigilance Center (IPC) during the study period. The dataset involved 4975 drug-event combinations, which were assessed for detecting signals.
The counts of drug-event combinations was 1, 2 and 3 or more for 3470, 727 and 779 combinations, respectively. There were 500 drug items responsible for 468 reaction terms in the database. According to PRR and 95% Confidence Interval, there were 2838, 872 and 488 drug-event combinations known as a signal for the pairs with the reporting frequency of ³1, ³2 and ³3 reports, respectively. The signals detected with the criteria of PRR³2, c2³4 were 2930, 872 and 480 for the pairs with the same reporting frequencies.
Estimates of RORs and the 95% Confidence Interval showed that 2722, 862 and 481 drug-event combinations were detected to be signal for the pairs with the reporting frequency of ³1, ³2 and ³3 reports, respectively, while measuring IC and IC-2SD detected 1120, 378 and 235 cases for the same reporting frequencies. There were 234 signals detected by all three methods.
Conclusion: Despite the similarities between data mining methodologies for signal detection, there are differences in the numbers of signals detected by each method. The study findings suggest that quantitative signal detection methods should be added to the routine Pharmacovigilance activities in Iran and the trends for quantitative measures over time should be monitored.
A.a Keshtkar, Mj Kabir, S Asghari, S Nedjat, A Etemadi, R Heshmat, Y Kanani, K Holakouie Naeini,
Volume 1, Issue 1 (3 2005)
Abstract
Background and Objectives: Noise-induced hearing loss is a prevalent work-related morbidity in the country. We determined the strength of association between hearing loss and occupational noise exposure as the first step in prevention programs.
Material and Methods: A historical cohort study involving 100 exposed and 31 non-exposed subjects was conducted. Noise exposure was estimated using sound level meter BSEN 60651, Type 2. Past noise exposure was estimated using the existing data on the place and type of work. Audiometry was used to assess hearing loss in each subject in 3- year intervals on an occupational cohort from 1993-2004.
Results: Noise-induced hearing loss was found in 49% (49 subjects) of the exposed group and 9.7 %( 3 subjects) of non-exposed group (p<.0001). Nobody used any form of hearing protection routinely in either group. Relative risk for noise-induced hearing loss was 5.1(CI95%: 1.7- 15.1).Time at risk was estimated 24.9 years (22.7-27.1) in exposed and 22.2 years (20.7-23.7) in unexposed group by survival analysis.
Conclusion: More legislation, hearing conservation programs, and surveillance and biological monitoring of work sites and workers are required to prevent occupational hearing loss. Planning strategies for noise assessment and control can help improve the work environment. Gross occupational exposure to noise has been demonstrated to cause hearing loss and the authors believe that occupational hearing loss in the country is a widespread problem.
F Farivar, R Heshmat, B Azemati, Sh Abbaszadeh Ahranjani, Aa Keshtkar, R Sheykholeslam, A Nadim,
Volume 5, Issue 2 (22 2009)
Abstract
Background and Objectives: Lack of nutritional knowledge is one of the most important reasons of nutritional problems worldwide and consequently, improper practice which can lead to several complications such as: malnutrition and non-contagious diseases. This study has been designed to investigate the knowledge, attitude and practices of the urban households regarding practical principals of nutrition in Boushehr, Golestan, and Sistan & Balouchestan provinces in 2004.
Methods: Evaluation of knowledge, attitude and practice of urban households towards practical principals of nutrition in mentioned provinces was carried out by this cross sectional study. The sampling method at the level of the households in each province was the single-stage cluster sampling with equal size clusters. The necessary data were gathered with a structured questionnaire and via the interviews between the questioners and the eligible people in each household.
Results: A total of 1154 individuals were participated in this survey. Approximately seventy percent of individuals were aware about having basic four food groups and 45% of them were also aware of role of food group in human body. Majority of people had acceptable attitudes toward nutrition. Based on standard criteria consumption of meat was rare and consumption of fish was in medium level, legumes in high level, fruits and vegetables, milk & dairy products were in acceptable level. Consumption of carbonated beverages, junk foods and sugar were in high level.
Conclusion: The findings of this study imply a need for effective implementation of nutritional community interventions by health policy makers in Iranian health systems.
B Azemati , R Heshmat , Aa Keshtkar , M Bagheri , R Sheykholeslam , A Nadim ,
Volume 5, Issue 4 (11 2010)
Abstract
Background & Objectives: The aim of this study was carried out to compare knowledge, attitude and practice of urban and rural households towards osteopenia and osteoporosis in Golestan, Sistan & Balouchestan and Boushehr provinces in Iran.
Methods: single-stage cluster sampling was used. The questions about knowledge about, attitude toward and practice of nutritional factors related to osteopenia and osteoporosis were asked by a structured interview.
Results: A total of 2306 households have been selected as overall sample size. Knowledge level of urban households about calcium as a preventive factor of osteoporosis & osteopenia was more in Sistan & Balouchestan, Golestan and Boushehr provinces. Knowledge level of urban households about calcium food courses: (Milk, Yogurt, Cheese and Dairy alternatives) was also better than that of rural habitants (P<0.01). Urban residents' attitude toward osteoporosis compared to rural residents was better (P 0.01>). Consumption of pasteurized milk had been paid more attention in urban households (P<0.001). The difference of daily milk intake in rural and urban households with pregnant or lactating women was not significant. Exposure of infant to sun as preventive factor was not satisticaly significant between rural and urban habitants.
Conclusion: It is concluded that the level of knowledge, attitude and practice of rural households toward osteoporosis and osteopenia was weaker than urban households.
R Rasty, H Pouraram, A Dorosty Motlagh , R Heshmat,
Volume 11, Issue 3 (Vol 11, No 3 2015)
Abstract
Background and Objectives: Food insecurity is a major public health problem. The impact of unplanned pregnancy on the physical and mental health of the mother and the fetus is unfavorable. This study was conducted to compare the relationship between food insecurity and some demographic and socioeconomic characteristics, fertility, and pregnancy in women with planned and unplanned pregnancy in Falavarjan in 1393 (2014).
Methods: This case-control study was performed on 200 women with unplanned pregnancy (cases) and 200 women with planned pregnancy (controls) using systematic random selection. Information was collected through researcher-made and Food Security questionnaires (USDA) through interviews with the mothers. Data was analyzed with the SPSS software version 16.0 and chi-square, t-test, Mann-Whitney test, correlation coefficient, and logistic regression.
Results: The prevalence of food insecurity was significantly higher in cases (51%) than in controls (37%). Food insecurity increased the risk of unplanned pregnancy by 1.15 times (CI 95% for OR 1.08-1.22). The risk of unplanned pregnancy, in terms of food insecurity without hunger was 0.324 times more than food security conditions. The odds increased in the state of food insecurity with hunger. In groups, demographic characteristics (except for the age of the household head in the control group), fertility and pregnancy had a significant direct relationship and socioeconomic status had a significant inverse relationship with the household food security.
Conclusion: Food insecurity is associated with demographic and socioeconomic characteristics and the history of fertility and pregnancy. Unplanned pregnancy endangers the outcome of pregnancy and the health of the future generations.
