Showing 8 results for Knowledge
Bagher Larijani, Hossein Fakhrzadeh, Zahra Komeylian, Ramin Heshmat, Reza Baradar-Jalili, Mansooreh Maadi,
Volume 3, Issue 1 (5-2004)
Abstract
Hyperlipidemia is a major risk factor for cardiovascular diseases (CVDs). A hundred and sixty six people die each day due to cardiovascular diseases in Iran which accounts for 12500 annual deaths. Several studies have revealed that changes in lifestyle are keys to the prevention of CVDs. This urges the role of continuous and comprehensive educational programs, which should be designed and performed by medical staff specially education nurses.In this study the effect of patient education thorough group discussion or an educational booklet is
compared on knowledge and practice of patients with hyerlipidemia.
Methods: This was an interventional study. Participants were randomly assigned to the "interactive discussion" group or "booklet" group. Knowledge and practice of participants in both groups were assessed before and after intervention using a standardized questionnaire. A total number of 304 patients with hyperlipidemia were studied which were equally divided into "booklet" or "Interactive
discussion" groups.
Results: "Interactive discussion" group showed %27 rise in knowledge and practice. This figure was %26 in the "booklet" group and no significant difference was observable.
Conclusion: It was concluded that interventional sessions and educational booklets had comparable efficacies. We suggest that these sessions be held on regular Intervals so as to achieve better results.
Fatemeh Adili, Hossein Fakhrzadeh, Masoumeh Nouri, Jalil Makarem, Bagher Larijani,
Volume 5, Issue 2 (9-2005)
Abstract
Background: Cardiovascular diseases are described as the most important health problems in developing countries which are developed in parallel with industrialization of communities. Based on the high morbidity and mortality of cardiovascular disease, this study was performed for examining the population lab inhabitants’ knowledge and practice.
Methods: In this cross – sectional study, 1576 inhabitants of the Population Lab Region were studied by cluster random sampling in 2002. 181 persons were selected from this population. The frequency of each cardio- vascular diseases risk factor such as hyperlipidemia, smoking, obesity, hypertension, Diabetes, family history of heart attack, being man, stress and excitement, sedentary life style, salty food, vegetables fruits, fatty food and red meat consumption, were assessed. In addition, the population study's practice regarding controlling the risk factors of cardiovascular diseases was determined, as well. Moreover, specific questionnaire and direct interview were used for collecting data and then the gathering data was analyzed by SPSS and EPI – Info soft wares.
Results: In this study, 71.8% of people were women while 28.2% of them were men. Besides, there was a significant relationship between the people’s knowledge about cardiovascular disease and the level of their education (P < 0.001). According to the results, 65.2% of population believed that heart attack was the most prevalent cause of death in comparison with 44% of them considered car accident and 13.3% agreed with cancers. On the other hand, 74% of people used liquid oil in their food and 77.9% of them knew the side effects of unhealthy foods such as salty food as one of the cardiovascular risk factors.
Conclusion: The inhabitants' knowledge regarding to the risk factors of cardiovascular diseases was approximately acceptable. However, there was a significant different between their knowledge and practice. Therefore, providing suitable educational programs for improving people’s nutrition, physical activity and the other relevant factors for preventing cardiovascular risk factors would be mentioned.
Mohsen Khoshniat, Zahra Komeylian, Mansoureh Moadi, Maryam Peimani, Ramin Heshmat, Reza Baradar Jalili, Bagher Larijani,
Volume 6, Issue 4 (6-2007)
Abstract
Background: Children with Type 1 diabetes were present one of the greatest challenges in the worldwide. Health-care providers must be sufficiently aware of diabetes so that such children make utmost benefit of their educational opportunities. The aim of the present study was to compare the effect of three educational methods in raising the level of knowledge of school health-care providers. Therefore the best method would be applied for this purpose.
Methods: In this interventional study 132 samples were randomly chosen from the list of school health care providers of Tehran and divided to the three groups (educated by posters, booklets, and group education). A questionnaire was completed for all the three groups before and after the education. Questionnaire consisted of two parts: -demographic information and 16 questions about diabetes information. Scores were analyzed by descriptive and inferential methods (T-test, ANOVA).
Results: The level of knowledge of school health-care providers was weak in 23.5% of the case, average in 59.8% of cases, and good in 16.7% of cases. The level of knowledge in the groups educated by booklets and group education increased meaningfully, while no obvious increase was observed in the group trained via posters.
Conclusion: From the three aforementioned training methods, group education and education by booklets have the most effect on raising the level of knowledge of health-care providers.
Mahdieh Akhoundan, Zhaleh Shadman, Nooshin Poorsoltan, Mozhdeh Soleymanzadeh, Mohsen Khoshniat Nikoo, Bagher Larijani,
Volume 13, Issue 4 (5-2014)
Abstract
Background: Fasting in diabetic patients is accompanied by various changes in metabolism, lifestyle and medication. Evaluation of diabetic patients’ knowledge in the field of fasting conditions, the fasting-induced changes, complications, and ways to deal with them, is the first step towards efficient and effective diabetes self-management training in Ramadan fasting. The purpose of this study was to design a valid and reliable questionnaire on fasting knowledge of diabetic patients and evaluate the knowledge and determinant factors in diabetic patients.
Methods: In this study a questionnaire on diabetic patient’s awareness was designed in 5 sections: 1- fasting conditions in patients with diabetes (fasting status of diabetic patients), 2- drug use, 3- controlling of blood glucose, 4- physical activity and 5- diabetic diet in Ramadan. Validity and reliability (Cronbach's alpha coefficient=0.79) of the questionnaire was confirmed. In a cross-sectional study, the fasting knowledge of 200 diabetic patients of Diabetes and Metabolic disorders clinic were examined, before Ramadan 2012. The association between the knowledge and patients’ age, sex, weight, diabetes duration, educational levels, Ramadan fasting group education, fasting blood sugar, HbA1c and type of diabetes were evaluated.
Results: The mean of total correct answers were 46% with the highest scores in dietary information (62.5%) and lowest in physical activity (18%) and drug use (23%). Significant positive association was found between total and each part scores with patients’ educational level. Also group of participating in the Ramadan fasting education study and group of non- participating, showed significant difference in response to questions.
Conclusion: Findings of this study revealed (indicated) poor fasting knowledge in diabetic patients. Educational programs before Ramadan can increase awareness and could improve self-management of diabetic patients during Ramadan fasting and decrease complications.
Malihe Akbari Abdolabadi, Bahram Mohebbi, Roya Sadeghi, Azar Tol, Mahmood Mahmoudi Majdabadi,
Volume 16, Issue 1 (1-2017)
Abstract
Background: Overcoming barriers associated with diabetes is considered a logical infrastructure to empower diabetic patients in management of living with diabetes and identify factors which affect these barriers. This study aimed to determine the effect of an educational intervention based on the BASNEF model on barriers to awareness, lifestyle, adaptation, and support in living with diabetes in patients with type 2 diabetes and it's related factors.
Methods: This was a quasi-experimental study which. Performed among 168 patients with type 2 diabetes referred to health centers of Beheshti University of Medical Sciences from August to September 2014. Before the educational intervention, questionnaires of life barriers and the BASNEF structures were completed. After pre-test, the patients were randomly allocated to the case and control groups based on randomizing four block design. Only in the intervention group patients received six education sessions of 45 to 60 minutes that fifth education session with their families, and related staff. The educational program was designed based on the BASNEF constructs (Knowledge, attitude, subjective norm, enabling factors and behavioral intention), and educational content was developed based on the barriers to living with diabetes (awareness, lifestyle, adaptation, and protection). Data analyzed Spss stafware version 20 utelized to data analysis using statistical tests such as independent sample t-test, paired t test, Wilcoxon, McNemar test, and Mann-Whitney U
Results: Our findings showed that there was a significant difference between a score received on components of barriers to of living with diabetes (awareness, lifestyle, adaptation, and protection) and variable of the BASNEF model (knowledge, attitude, subjective norm, enabling factors and behavioral intention) before and after the educational intervention the significant level was set less than 0.05 (P<0.05).
Conclusion: Education in type 2 diabetic patients based on BASNEF, as a model for effective education, can lead to dimensions barriers reduction in (awareness, lifestyle, adaptation, and protection).
Seyd Sayed Mazloomi, Mitra Mody, Hakimeh Malakimoghadam, Elahe Tavasoli, Zahra Vahdani Nia, Bi Bi Fatemeh Baghernezhad Hesary,
Volume 17, Issue 2 (3-2018)
Abstract
Background: Diabetes types 2 are non- communicable disease. During the past three decades, the number of people who have type 2 diabetes become more than doubled. In this disease more than 95 percent of process curing done by patients. Self – care behaviors are important way of controlling disease. Various studies have shown that many factors affect in self-care behaviors. This study aimed to determine the predictors of self- care in type 2 diabetic patients of Yazd and Brijand.
Methods: this study is analytical, descriptive and crosses – sectional. Data collected by using of questionnaire that was designed in 4 parts:
Knowledge questionnaire, self- care questionnaire, self – efficacy questionnaire and social support questionnaire. Data analysis by description and regression test.
Result: Mean score of Knowledge, self- efficacy, self – care and perceived social support don’t have significant different between two citys. Social support with a total direct and indirect have the most effect.
Conclusion: The aim of the training program in type 2 diabetic are promoting in self – care behaviors there for we can achieve this goal by increase perceived social support, self- efficacy and Knowledge.
Aboozar Ramezani, Leila Shahmoradi, Fereydoon Azadeh, Fatemeh Sheikhshoaei, Rasha Atlasi, Nazli Namazi, Bagher Larijani,
Volume 20, Issue 1 (1-2021)
Abstract
Background: A key aspect of Scientific collaboration increases scientific productivity. This study aimed to draw up a scientific collaboration network of the Endocrinology and Metabolism Research Institute (EMRI) at Tehran University of Medical Sciences.
Methods: A Descriptive Cross-Sectional Study was conducted by the Scientometrics method. Data collection from the Scopus and Web of Science Core collection databases between 2002 until 30 October 2020. MS-Excel, HistCite, VOSviewer, and ScientoPy were used for descriptive statistics and data analysis.
Results: A total of 4190 records with the affiliation of the EMRI are indexed in two international databases. All of the records received a sum of 89480 citations. The EMRI Researchers were published in 1118 journals. The annual growth rate of publication and citation of the scientific output of the EMRI was 20.3% and 22.7%, respectively. A total of 17662 authors from 186 countries participated in the publication. The co-authorship pattern shows. The next section of the Study was classified and visualized based on authorship (institutes and country of affiliation), keywords (co-occurrence and trend).
Conclusion: Overall, these results indicate that the pattern of collaborations in the authorships' articles increases the flow of knowledge among the institute's researchers as a result of international collaborations, interaction with leading countries, and interdisciplinary collaborations. To develop a full picture of co-authorship, additional studies will need a comprehensive picture of network cooperation to analyze the situation with other social network analysis indicators.
Fatemeh Dekamini, Mohammad Ehsanifar,
Volume 21, Issue 4 (10-2021)
Abstract
Background: Diabetes is one of the major health problems in Iran and about 4.6 million adults suffer from this disease. Poor diagnosis of this disease has caused half of this number to be unaware of their disease. In recent years, along with the use of computers in data analysis and storage, the volume and complexity of data has increased dramatically.
Methods: In health organizations, data play an essential role in the value of the organization. Therefore, data mining has become one of the most widely used processes in the field of health and disease diagnosis. In this study, the information of 768 laboratory clients in Tehran was kept confidential and the opinions of experts were used to identify the variables affecting the incidence of diabetes.
Results: The findings indicate the study of 5 algorithms on the presented data, which by implementing 5 data mining algorithms J48, Bayes, Beginning, Cohen and simple clustering to classify the data, the efficiency of these algorithms in terms of speed and accuracy in calculations was evaluated.
Conclusion: The data set for classification is the database of a laboratory, which includes 768 samples with 9 characteristics. Finally, J48 algorithm is recommended for data mining of diabetes due to high speed, acceptable accuracy and lack of sensitivity to raw data.
