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Showing 12 results for Abbasi

R Abbasi, Mr Aflatoonian , B Aflatoonian , L Ranjbar ,
Volume 5, Issue 4 (11 2010)
Abstract

Background & Objective: Population-based unit research in urban areas utilze possible commmunity-based researches in oder to empower people to have a healthy life. In order to achive this goal this study carried out to prirotise the common health problems from the point of view of experts and habitants in Kerman population-based research center in 2007.
Methods: Cluster sampling was employed and an standard questionnaire was completed by participants.
Results: A population with total of 1289 persons from 324 family were included in this survey. The mean of age 26.8 ± 19.2. Fifty one percent were male and 15.7% had college education, 3.8% were illiterate, 35.8% were housewife or unemployed. Near seven percent had at least a chronic disease in their family. Most complaint of health environment were shooting garbage and stray dogs (48.7% and 42.5%). Unemployment and inflation were most worrying issues from people point of view (85% and 24%).
Conclusions: It is concluded that to allow people to participate in decision making for any health promotion program is very important and it should be taken into account by health policy makers.
M Honarmand, L Farad Mollashahi, M Shirzaii, H Abbasi,
Volume 7, Issue 4 (16 2012)
Abstract

Normal 0 false false false EN-US X-NONE AR-SA Background & Objectives: Dental fluorosis is a kind of hypoplasia, enamel and dentin deficiency due to fluoride overuse. Since there is little known about this important dental problem in Southeast area in Iran we designed an analytic descriptive study to estimate the dental flurosis prevalence in 7-10 years old students.
Methods: Three hundred thirty four (334) children attending to community dentistry center during year 2006, were studied to evaluate the prevalence of dental fluorosis. Dental index (fluorosis rates) identified by a trained dentist. Criteria for definite diagnosis were existence of enamel defects with spread bilaterally and symmetrically. Children with hyperplasia tetracycline -induced, acute febrile illness in childhood and fetal birth  dental defects (Dentinogenesis imperfecta, Amelogensis imperfect) were excluded from this study.
Results: The prevalence of dental flurosis estimated to be 30.8 percent in this sample. Dental fluorosis protests in the subjects were so: enamel opacities (70. 6%),discoloration(14.2%), pit(1.36%), enamel opacities and discoloration(12.9%),enamel opacities and pit (1 %). Superior anterior teeth were the most effected by fluorosis. There are significant difference in dental fluorosis between boys and girls (P=0.004), and intensity was higher in boys (37.5% versus 22.6%). fluorosis pattern no clear difference in both sexes (P=0.27).
Conclusion: The prevalence of fluorosis was estimated 30.8% and intensity was higher in boys in Zahedan. Therefore it is essential that fluoride source and amount of fluoridation of drinking water be considered in Zahedan city.


M Baniasadi, Mr Aflatoonian, R Rooholamini, B Aflatoonian, R Abbasi,
Volume 10, Issue 1 (Vol 10, No 1 2014)
Abstract

  Background & Objectives: Breast cancer is the most common cancer among women. Numerous factors are effective in the improvement of patients undergoing surgery in terms of preventing relapse or need for repeated treatment during 6 months after the surgery. This study aimed to determine the factors affecting improvement of patients undergoing surgery for breast cancer using a logistic regression model.

  Methods: In this study information of 150 patients were extracted from the surgical records of patients underwent surgery at the Cancer Institute of Tehran Imam Khomeini Hospital. Data were analyzed through SPSS software and using logistic regression models .

  Results: Of 150 studied patients, 18 patients (12%) were not fully recovered while 132 (88%) had complete remission. The mean age of the patients was 43 ± 7.5 years, 92.8% were married, and 87.3% had children. According to the results, the odds of non recovery increased by 1.26 times with each one-year increase in age, 5.3 times with each one lymph node involvement, and 8.67 times in the case of metastasis. Other variables, such as marital status, number of children, tumor size, and location of the metastasis showed no significant relationship.

  Conclusion : The Results showed that age at diagnosis, due to its relationship with metastases and number of involved lymph nodes can be directly or indirectly affect the outcome. Therefore, increasing the women's awareness about breast cancer seems to be necessary for early diagnosis which requires planning a sufficient screening program by health policy makers of the country.


S Setareh, M Zahiri Esfahani , M Zare Bandamiri , A Raeesi, R Abbasi,
Volume 14, Issue 1 (Vol 14, No 1, 2018)
Abstract

Background and Objectives: Colon cancer is the third most common cancer in the world and the fourth most common cancer in Iran. It is very important to predict the cancer outcome and its basic clinical data. Due to to the high rate of colon cancer and the benefits of data mining to predict survival, the aim of this study was to survey two widely used machine learning algorithms, Bagging and Support Vector Machines (SVM), to predict the outcome of colon cancer patients.
Methods: The population of this study was 567 patients with stage 1-4 of colon cancer in Namazi Radiotherapy Center, Shiraz in 2006-2011. Three hundred and thirty eight patients were alive and 229 patients were dead. We used the Support Vector Machines (SVM) and Bagging methods in order to predict the survival of patients with colon cancer. The Weka software ver 3.6.10 was used for data analysis.
Results: The performance of two algorithms was determined using the confusion matrix. The accuracy, specificity, and sensitivity of the SVM was 84.48%, 81%, and 87%, and the accuracy, specificity, and sensitivity of Bagging was 83.95%, 78%, and 88%, respectively.
Conclusion: The results showed both algorithms have a high performance in survival prediction of patients with colon cancer but the Support Vector Machines has a higher accuracy.
Aa Abbasi, Hr Bahrami, B Beygi, E Musa Farkhani, V Vakili, F Rezaee Talab , R Eftekhari Gol , M Talebi,
Volume 15, Issue 2 (Vol.15, No.2 2019)
Abstract

Background and Objectives: Sleep disorders include problems involving the quality, timing and amount of sleep, which cause decreased functioning and discomfort during the daytime. Considering the importance of sleep in health and quality of life and the probability of the related disorders in the elderly, this study was conducted to investigate sleep disorders and their risk factors in an elderly population covered by Mashhad University of Medical Sciences.
 
Methods: We conducted one of the largest population-based cross-sectional studies in an elderly population covered by Mashhad University of Medical Sciences in 2016. In this study, a total 8496 elderly people aged 60-90 years old with sleep disorders were compared with 35041 elderly subjects without complaints. Data were extracted from the Sina Electronic Health Record System. Bivariate and multivariate logistic regression analysis were carried out using the STATA ® version 14 to determine associations between independent variables and sleep disorders.
 
Results: In multivariate analysis, male gender (AOR=0.58; 95% CI: 0.55-0.61), being married (AOR=0.88; 95% CI: 0.83-0.93), overweight and lightweight compared to normal weight (AOR=1.27; 95% CI: 1.21-1.34 and AOR=1.20; 95% CI: 1.04-1.38, respectively), smoking (AOR=2.22; 95% C.I: 2.05-2.40), high blood pressure (AOR=1.44; 95% C.I: 1.37-1.52), diabetes (AOR= 1.49; 95% C.I: 1.40-1.58) and depression (AOR=3.05; 95% C.I: 2.74-3.38) variable remained in the final model after adjusting for confounders.
 
Conclusion: In this study, gender, marital status, body mass index, smoking, blood pressure, diabetes and depression were the main determinants of sleep disorders. It is necessary to identify the risk factors and perform appropriate interventions to improve the sleep.
F Behmanesh, Z Taghizadeh, Aa Vedadhir, A Ebadi, A Pourreza, Mj Abbasi Shavazi,
Volume 15, Issue 3 (Vol.15, No.3 2019)
Abstract

Background and Objectives: Low fertility reduces the workforce and causes population aging. Hence, childbearing and its determinants are important issues in demographic policies. This study was conducted to explain the causes of single child according to women’s views.
 
Methods: This qualitative study was the second part of a sequential explanatory study carried out using a conventional content analysis approach and inductive reasoning. The research population comprised married women aged 15-49 years old living in Babol who had one child and did not intend to have any pregnancies in the future. The subjects were selected via a target-based sampling method. After receiving written consent, semi-structured interviews were conducted. Data saturation was achieved after 13 interviews.
 
Results: The findings showed that single child was affected by the media and social patterns associated with their own priorities. Uncertainty about the future and marital conflicts boosted having only one child. In fact, there were issues that forced women to accept "single child” in spite of "single child complaints" and try to a find a meaning for life with only one child.
 
Conclusion: Apart from economic issues, there are many social issues involved in child-rearing, and demographic policy-makers should consider these issues in order to achieve their desired demographic goals.
Ha Nikbakht, H Ghaem, Hr Tabatabaee, A Mirahmadizadeh, S Hassanipour, S Zahmatkesh, A Hemmati, F Moradi, A Abbasi,
Volume 15, Issue 3 (Vol.15, No.3 2019)
Abstract

Background and Objectives: Anthropometric indices, especially weight, provide useful information for the care and treatment of newborn infants and can be used to identify infants at risk. Therefore, this study was conducted to examine the mean weight, height and head circumference measurements of infants and some related factors.
 
Methods: This cross-sectional study was performed to investigate the anthropometric indices (weight, height and head circumference), demographic characteristics, and delivery data of 1484 newborns in 2016 using multi-stage sampling. Moreover, the predictors of these indices were analyzed using a linear regression model.
 
Results: The mean weight, height and head circumference of the newborn infants was 3185 ± 465 g, 49.92 ± 2.92 cm, and 34.58 ± 2.29 cm respectively, and 7% of newborns were low birth weight. The male newborns weighed 57.29 g more than females on average at birth (p <0.05). Besides, the height and head circumference of the male newborns were 0.15 and 0.10 cm larger than the female newborns respectively but the difference was not statistically significant. In addition to gender, gestational age at birth (week) and type of delivery correlated with all three anthropometric indices in multivariate analysis.
 
Conclusion: Identifying and controlling largely adjustable risk factors can make it possible to prevent low anthropometric parameters, particularly low birth weight.
M Safari, M Abbasi, F Gohari Ensaf , Z Berangi, Gh Roshanaei,
Volume 15, Issue 4 (Vol.15, No.4 2020)
Abstract

Background and Objectives: In survival analysis, using the Cox model to determine the effective factors requires the assumptions whose failure of leads to biased results. The aim of this paper was to determine the factors affecting the survival of metastatic gastric cancer patients using the non-parametric method of Randomized Survival Forest (RSF) model and to compare its result with the Cox model.
 
Methods: In this retrospective cohort study, 201 patients with metastatic gastric cancer were evaluated in Hamadan Province. Patient survival was calculated from diagnosis to death or end of study. Demographic characteristics (such as gender and age) and clinical variables (including stage, tumor size, etc.) were extracted from the patient records. Factors affecting survival were determined using the Cox model and RSF. Data analysis was performed using the R3.4.3 software and RandomForestSRC and survival packages.
 
Results: The mean (SD) age of patients was 61.5 (12.9) years old. The Cox model showed that chemotherapy (p=0.033) was effective in survival, and the results of fitting the RSF model showed that the most important variables affecting survival were type of surgery, location of metastasis, chemotherapy, age, tumor grade, surgery, number of involved lymph nodes, sex and radiotherapy. Based on the model appropriateness, the RSF model with log-rank split rule had a better performance compared to the Cox model.
 
Conclusion: If the number of variables is high and there is a relationship between the variables, the RSF method identifies the important and effective variables on survival with high accuracy without requiring restrictive assumptions compared to the Cox model.
Zahra Hosseinkhani, Mozhgan Abbasi, Amaneh Khaleghi, Elham Kakavand, Nahid Yazdi, Hassan Reza Mohammadi Moein,
Volume 17, Issue 2 (Vol 17,No.2, Summer 2021 2021)
Abstract

Background and Objectives: The spread of COVID-19 in the world has had adverse effects on all aspects of people´ life and social and economic development of the communities. The current study was conducted to determine the knowledge, attitudes, and practices toward COVID-19 in the general population of Qazvin province. 
 
Methods: This cross-sectional study conducted on 1223 people above 15 years in Qazvin province between December and January 2020. We used multistage stratified random sampling to select the participants from urban and rural health centers. The questionnaires were completed by the patients as well as through phone interviews. The questions included demographic information and knowledge, attitude, and practice toward COVID-19. 
 
Results: In total, 1223 subjects with a mean (standard deviation) age of 35.6 ± 12.2 years participated in this study. The scores of knowledge, attitudes, and practice were 68%, 72% and 91%, respectively. The lowest score of knowledge was related to awareness of common symptoms of the disease (6%). Forty-two subjects believed they observed the principles of disease prevention. A distance of 2 meters was observed by 50.3%. The scores of knowledge (P=0.007) and practice (P=0.028) increased with age, and the scores of knowledge (P<0.001) and attitude (P=0.001) increased and decreased with an increase in the education level, respectively. Males had significantly lower knowledge (P=0.002) and practice (P<0.001) scores. Moreover, rural residents had higher attitude scores compared to urban residents (P=0.002).
 
Conclusion: The results suggest that the general population of Qazvin province had desirable knowledge, attitude and practice towards COVID-19 at the time of the epidemic.
Malihe Safari, Salman Khazaei, , Mohammad Abbasi, Ghodratollah Roshanaei,
Volume 17, Issue 2 (Vol 17,No.2, Summer 2021 2021)
Abstract

Background and Objectives: The incidence of rectal cancer is increasing in developing societies, especially in younger age groups. The aim of this study was to evaluate the factors affecting the survival of patients with rectal cancer in the presence of competing risks.
 
Methods: In this retrospective cohort study, the data of 121 patients with rectal cancer during 2001-2017 were studied. Death related to cancer progression was considered as the interest outcome and other causes of death were considered as competing risks. Cause-specific and sub-distribution hazard models were used to investigate the factors affecting patient survival in the presence of competing risk.
 
Results: The mean (SD) age of the patients was 53.4 (13.9) years and 68 patients (56.2%) were male. The results of log-rank test showed that sex, age, metastasis, type of first treatment, rate of penetration into intestinal wall, tumor location, number of lymphomas involved and tumor size had significant effects on the patient survival (P<0.05). Based on cause-specific and sub-distribution hazard models, tumor stage, lymph node metastasis, and tumor grade had significant effects on death hazard due to the cancer progression (P<0.05).
 
Conclusion: Due to the need to consider competing risks, the results of both competing risk methods showed that tumor grade, lymph node metastasis and stage increased the instantaneous hazard and hazard of cancer death. Therefore, to determine the specific risk factors for each cause of death in the survival analysis, competing risk methods should be used if there is more than one cause of death.
M Salehi, Z Saberi, F Karimi, F Abbasi,
Volume 17, Issue 4 (Vol.17, No.4, Winter 2022 2022)
Abstract

Background and Objectives: Epidemiological studies have indicated the prevalence of a wide spectrum of diffused pigment lesions throughout the world and Iran. The aim of this study was to determine the frequency distribution of oral diffused pigment lesions in patients presenting to Oral Diseases Department of Isfahan Dental School.

Methods: A cross-sectional descriptive study was conducted on 303 patients presenting to Oral Diseases Department of Isfahan Dental School during the first three-month period of 2019. The demographic data, location of lesions, and type of lesions were recorded in a checklist and analyzed with the SPSS version 22 using Chi square, Mann Whitney test, Fisher's exact test, and spearman correlation coefficient. The level of significance was set at 5%.

Results: In this study, 303 patients were examined of whom 93 (30.69%) were diagnosed with diffused pigment lesions. As for the pigmentation severity, the patients were grouped into low, moderate, and high with 54 persons (58%), 13 persons (14%) and 26 persons (28%) in each group, respectively. The most frequent site was labial gingiva and the most common type was the physiologic type. The results showed that gender had no effect on the frequency distribution (P=0.09) but gender and age had significant effects on the severity of pigmentation (P=0.047, r=0.459 and P<0.001 respectively). Skin color had a significant effect on the type of pigmentation
(P < 0.001).


Discussion: The frequency of oral diffuse pigmentation in patients presenting to the Isfahan dental school was noticeable.
 
Fatemeh Rangraz Jeddi, Ehsan Nabovati, Afsaneh Vazin, Azar Houshmand, Reza Abbasi,
Volume 19, Issue 1 (Vol.19, No.1, Spring 2023)
Abstract

Background and Objectives: Antibiotics are extensively utilized and constitute a significant portion of hospital drug expenses, posing challenges due to their overuse. Among hospital wards, the intensive care unit (ICU) is a major consumer of antibiotics. This study aimed to assess the antibiotic prescription rates within the ICU wards of Namazi Hospital in Shiraz
Methods: We retrieved and analyzed electronic prescriptions from all 16 ICU wards at Namazi Hospital in 2020. The data were collected using a checklist that included patient demographics, prescription date, and the number of prescribed antibiotics. The relationship between antibiotic groups and patient demographics was assessed using Chi-square test.
Results: Out of 381,003 electronic prescriptions, 67,002 (17.6%) included at least one antibiotic. Additionally, 5,056 patients (98.9%) received antibiotics. Analysis of the prescriptions revealed that most antibiotics were prescribed for male patients and those under 15 years old (P<0.05). Patients admitted during the winter also received the highest rate of antibiotics (P<0.05). The most commonly prescribed antibiotic groups were beta-lactam and chloramphenicols (32.89%), cephalosporins (19.28%), and glycopeptides (18%).
Conclusion: While less than one-fifth of prescriptions included antibiotics, nearly all patients received them. It is advisable for future studies to evaluate antibiotic prescribing based on prescriptions to provide hospital managers with more precise statistics, enabling appropriate actions for antibiotic stewardship.


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