Showing 10 results for Pasha
F Dehghan Manshadi, M Ghasemi, A.r Soltani, B Pashaii,
Volume 2, Issue 4 (7 2004)
Abstract
M Karimlou , K. Mohammad , M. R Meskhani , G.r Jandaghi , K Nouri , E Pasha , K Azam ,
Volume 4, Issue 2 (3 2006)
Abstract
Background and Aim: Logistic regression is an analytic tool widely used in medical and epidemiologic research. In many studies, we face data sets in which some of the data are not recorded. A simple way to deal with such "missing data" is to simply ignore the subjects with missing observations, and perform the analysis on cases for which complete data are available.
Materials and Methods: We consider methods for analyzing logistic regression models with complete data recorded for some covariates (Z) but missing data for other covariates (X). When data on X are Missing At Random (MAR), we present a likelihood approach for the observed data that allows the analysis as if the data were complete.
Results: By this approach, estimation of parameters is done using both Maximum Likelihood and Bayesian methods through the Markov Chain Monte Carlo numerical computation scheme and the results are compared.
The illustrative example considered in this article involves data from lung auscultations as part of a Health Survey in Tehran.
Conclusion: In comparing different methods, Bayesian estimates using the model described in this study are much closer to those generated by analysis of the full data by the standard model.
R Jamshidi Orak , K Mohammad , E Pasha , W Sun , K Nori Jalyani , M Rasolinejad , O Mirzade ,
Volume 5, Issue 1 (2 2007)
Abstract
Background and Aim: Health surveillance systems are now paying more attention to infectious diseases, largely because of emerging and re-emerging infections. The main objective of this research is presenting a statistical method for modeling infectious disease incidence based on the Bayesian approach.
Material and Methods: Since infectious diseases have two phases, namely epidemic and non-epidemic, joint distributions seem preferable for modeling disease incidence. We used a hidden Markov model - suitable for joint distributions- to arrive at a statistical model applicable to infectious diseases. Parameter estimation was done using a Bayesian method. The resulting model was then applied to monthly incidence rates for malaria to test the model's applicability to real data.
Results: The error sum of squares of the model fitted to monthly incidence rates for malaria was 190.59 and the coefficient of determination between observed and fitted values was 0.84. It appears that the hidden Markov model with a cyclic regression equation has a proper goodness of fit when applied to malaria incidence rates.
Conclusion: The hidden Markov model is an efficient statistical tool for modeling infectious disease incidence rates.
Mehdi Mohebali, Gholamhossein Edrissian, Mohammad Reza Shirzadi, Yavar Hosseingholizadeh, Mohammad Hossein Pashaei, Akbar Ganji, Zabihallah Zarei, Ahmad Kousha, Behnaz Akhoundi, Homa Hajjaran, Hossein Malekafzali,
Volume 9, Issue 2 (21 2011)
Abstract
Background and Aim: Visceral leishmaniasis is a systemic parasitic disease with a high fatality rate in under-5-year-old children. The disease is endemic in some parts of Iran, particularly in the north-west region. In 2001 a visceral leishmaniasis (VL) surveillance system was established for children aged ≤ 12 years in the primary health system in Meshkin-Shahr District, Ardebil Province, situated in the north-west of Islamic Republic of Iran.
Materials and Methods: All cases with clinical signs and symptoms of VL and confirmed positive by the direct agglutination test (DAT) were referred for physical examination and treatment.
Results: The mean annual incidence of VL decreased significantly from 1.88 per 1000 children before (1985-2000), to 0.77 per 1000 child population after (2001-07), the intervention. In the control area with no surveillance, it increased from 0.11 to 0.23 per 1000.
Conclusion: Early detection of VL using serological tests and timely treatment of cases can decrease the mortality and morbidity rates of VL in endemic areas.
Tahereh Pashaie, Abbas Rahimi, Asou Ardalan, Fereshteh Majlesi,
Volume 9, Issue 4 (13 2012)
Abstract
Background and Aim: Female genital mutilation (FGM) comprises all procedures that involve partial or total removal of the external female genitalia for non-medical reasons.The World Health Organization has estimated that 100 to 140 million girls and women worldwide are currently living with the adverse consequences of FGM. Two of the major incentives for FGM are traditions and social pressure, and the practice is mostly carried out by traditional circumcisers. Not only FGM has no health benefits for girls and women, but it has immediate and long-term complications. The objective of this study was to determine the prevalence of female genital mutilation and factors associated with it among women consulting health centers in Ravansar City, Iran
Materials and Methods: A cross-sectional study was conducted on 348 women consulting 5 health centers in Ravansar City, Iran. Data were collected using a structured questionnaire and SPSS.16 was used for data analysis.
Results: The prevalence of FGM was 55.7% and the mean age of the women undergoing FGM was 9.2±14.2 years. The prevalence increased with age. Almost in all cases the operation had been performed by traditional local circumcisers. The data also showed that 96.2% of the mothers and 87.6% of the sisters of the subjects had also been mutilated. There were statistically significant associations between FGM and several independent variables as follows: the mutilated women's age (0.001) and education level (p<0.001) their mothers' education level (p=0.006) and their awareness of, and attitude towards, mutilation (p<0.001).
Conclusion: FGM is prevalent among Ravansar women. Religious leaders and health personnel should attempt to discourage FGM. Promoting public awareness of FGM and its undesirable consequences is essential. Research shows that if a community itself decides to abandon FGM, the practice can be eliminated rapidly.
Maryam Moeini, Omran Mohammad Razzaghi, Mahmood Mahmoodi, Tahereh Pashaeie,
Volume 11, Issue 3 (1-2014)
Abstract
Background and Aim: The objective of this study was to determine factors associated with time to relapse and, thus, retention time, of a cohort of opioid-dependents under methadone maintenance treatment, using survival models, in the Iranian National Center for Addiction Studies (INCAS).
Materials and Methods: A total of 198 opioid-dependent clients participating in the Methadone Maintenance Treatment Program, implemented by INCAS between April 2007 and March 2011, were included in the study. A Cox proportional hazard (PH) model was applied to determine predictors of relapse time among the patients.
Results: The data showed that 86 clients relapsed into drug use during the treatment program. The proportional hazard assumption was satisfied according to the goodness of fit test showing that Cox proportional hazard model was appropriate. Estimates of the PH model indicated that an increase of 1mg in the methadone dosage could lead to a decrease of 0.15 in hazard ratio and an increase in the length of treatment (p<0.001). Predictors for raising the probability of drug relapse included suffering from mental disorders (compared to mentally healthy: hazard ratio = 2.29, p<0.001), being a poly-substance user (compared to mono-substance users: hazard ratio = 4.80, p<0.001), and having retention experience in the past (compared to those with no previous therapy: hazard ratio = 1.90, p<0.001). Other variables entered in the model, including social and demographic variables, had no statistically significant effect on hazard ratio.
Conclusions: Although higher methadone dosages are associated with a longer time to relapse, we recommend highly to pay special attention to providing more therapeutic and consultive services to mental health patients, poly-substance users, and individuals with a past therapy record.
Arezoo Fallahi, Siamak Derakhshan, Tahereh Pashaee, Parvaneh Teymoori,
Volume 13, Issue 2 (9-2015)
Abstract
Background and Aim: Although self-care is known to affect favorably the control and treatment of osteoporosis, the effective factors from the patients’ viewpoint have not been investigated. The aim of this study was to explore factors affecting self-care from the viewpoint of women suffering from osteoporosis.
Materials and methods: This was a qualitative study conducted with a content analysis approach in 2014, including 15 women consulting the bone mass densitometry centers in Sanandaj, Iran, selected by purposeful sampling. The inclusion criteria were women aged &ge 50 years suffering from osteoporosis diagnosed definitively at least 6 months before, a T-score index > -2.5 (lower back or hip bone), taking drugs upon a physician’s advice, ability to speak, and willingness to participate in the study. Data were collected through face-to-face and group semi-structured in-depth interviews and analyzed using the content analysis method. The accuracy and rigor of the data were confirmed based on such criteria as credibility, confirmability and transferability.
Results: Five main categories were extracted including “ background factors of the disease ”, “hope and weakness in confrontation with the disease”, “role of the physician”, “role of the family”, and “administrative centers and organizations”. Based on further analysis of the data, 11 subcategories were emerged including “cultural issues”, “lack of knowledge”, “non-priority of health”, “weakness and fear”,
“hope for the future” , “positive role of the physician”, “negative role of the physician”, “ active role of the family”, “ passive role of the family”, “ role of the media”, and “information centers”.
Conclusion: The finding of the study show that the responsibility of women suffering from osteoporosis towards their health is not a single-factor, but rather a multifactorial, phenomenon. Pre-requisites for empowering women to adopt self-care behaviors include increasing their hope to live longer, physician’s attention to the patient’s needs, increasing health promotion programs in the media, and strengthening role of the family (particularly role of men).
Mahdieh Keykavoos Iranag, Hadi Pashapour, Azam Jafari, Khadijeh Keshavarzian, Mahmoud Khodamoradi, Abass Ali Dorosti, Asghar Mohammadpoorasl,
Volume 16, Issue 3 (12-2018)
Abstract
Background and Aim: Developing appropriate programs for community problem solving and community development and prosperity will be possible only after realistic identification of the community’s problems. Community health assessment is a process by which researchers and community members understand the health care system and community concerns through data collection and analysis, determining strengths and weaknesses and defining the community’s resources and demands. Basmenj is a town located 10 kilometer from the metropolitan City of Tabriz, Iran and on the verge of adjoining this metropolis. This paper reports results of the community assessment of this town.
Materials and Methods: This study was conducted in autumn 2017. The methodology used for community assessment was based on the eight-stage model of North Carolina. In the first seven stages the Basmenj community problems were identified and prioritized, followed, in the eighth stage, by developing an action plan for solving the problems in order of priority.
Results: Approximately 100 different problems were identified at the end of the first stage. Based on the Hanlon classification model, the top prioritized problems of the region were found to be, in that order, youth addiction, urban trashes, stray dogs, environmental pollution caused by Pars Color Company, narrowness of the main street, inner-city livestock farming, early marriage among girls, wastewater problems, youth unemployment, and high consumption and self-administration of anti-biotics.
From among these problems, the urban trashes problem was studied briefly. Factors playing a role in its causation were found to be as follows: lack of waste reduction and waste sorting programs, low citizens’ knowledge about trash gathering, absence of an appropriate urbane wastewater system, and, finally, lack of participation of citizens and the private sector in trash gathering and burying
Conclusion: A wide range of social, cultural and economic problems was identified. The top priority was found to be focusing on problems related to urban trashes. However, it should be noted that solving all the community problems identified requires the co-operation and support of all the governmental organizations, as well as involvement of the community at large.
Javad Eynypour, Maryam Bayat, Sara Pashang,
Volume 19, Issue 1 (6-2021)
Abstract
Background and Aim: Internet addiction means excessive and unnecessary use of the Internet. The aim of this study was to investigate the role of brain-behavioral systems in Internet addiction among university students.
Materials and Methods: This was a descriptive and correlational research. The statistical population was all the students of Islamic Azad University, Karaj Branch in the academic year 1397-98. A sample of 162 students were selected, based on the Tabachnick & Fidell formula, using the multi-phase cluster sampling technic. The tools used to collect data were the harmful Internet use and the brain and behavioral system questionnaires.
Results: Based on the multivariate regression analysis, 66.7% of Internet addiction among the students could be explained by brain-behavioral systems. Active avoidance and approach, as components of the behavioral activation system, could predict Internet addiction negatively, while passive avoidance and extinction, as components of the behavioral inhibition system, and fight and flight from the components of the fight/flight system, could predict Internet addiction positively.
Conclusion: Purposeful communication and information search (pleasant unconditional stimuli), tedium and constant logic dominating the internet environment (unpleasant unconditional stimuli) have their own conditional cues on the Internet that indicate the degree of susceptibility of brain-behavioral systems to internet addiction.
Arezu Amirali, Ameneh Elikaei, Roxana Mansour Ghanaie, Idesbald Boone, Abdollah Karimi, Tim Eckmanns, Andreas Lutz Jansen, Fatemeh Fallah, Noushin Marhamati, Niloofar Pashaei, Shahriar Janbazi, Ahmad Reza Shamshiri, Hamid Reza Baradaran, Mohammad Hossein Rostami, Masoud Alebouyeh,
Volume 19, Issue 4 (3-2022)
Abstract
Background and Aim: The objective of this study was to determine the seroepidemiological history of SARS-CoV-2 infection among asymptomatic children in Tehran.
Materials and Methods: Blood samples of children younger than 14 years old were collected during the period autumn-winter 2020 and spring 2021 and tested for SARS-CoV-2 IgG antibody using the EUROIMMUN ELISA kit. In addition, questionnaires were used to collect demographic and infection status information in the participants. Data were analyzed using the SPSS software.
Results: Out of the 1142 children collected from the children with no COVID-19 symptoms, 33.3% (381/1142) were found to have had a history of SARS-CoV-2. The positive samples in girls and boys were 34.1% and 33.03%, respectively. Analysis of the data showed no statistically significant differences between the infection rate on the one hand and age, family size, underlying diseases, gender or occupations of the family members on the other hand. In addition, the infection rate was significantly lower in autumn 2020 than in winter 2020 and spring 2021.
Conclusion: SARS-CoV-2 infection can occur in children with no clinical symptoms. In addition, the infection rate is in direct correlation with an increase in age of the children.
