Showing 6 results for Motlagh
Y Mehrabi, E Maraghi, H Alavi Majd, Me Motlagh,
Volume 6, Issue 3 (11 2010)
Abstract
Background and objective: Disease or mortality mapping are statistical methods aimed at providing precise estimates of rates across geographical maps. The aim of this research is to improve the precision of relative risk (RR) estimates of infant mortality (IM) for different rural areas, using empirical and full Bayesian methods.
Methods: Infant mortality data were extracted from the vital horoscope (Zij-Hayati) for years 2001 and 2006 across rural areas of Iran. Maximum Likelihood, Empirical Bayes with Poisson-Gamma model and full Bayesian models were used. Mont Carlo Markov Chain method was used for latter models. Deviance information criterion (DIC) was computed to check the models fittings. R, WinBUGS and Arc GIS software were employed.
Results: Based on the full Bayesian method, the highest RR of infant mortality was 1.73 (95%CI: 1.58-1.88) in year 2001 and 1.62 (95%CI: 1.50-1.75) in 2006 which belonged to Sistan-va-Blouchestan area in comparison to the whole country. In 2001, the rural areas of Birjand (1.45), Kordistan (1.23) and Khorasan (1.21) and in 2006, Birjand (1.42), Zanjan (1.39), Kordistan (1.36), Ardebil (1.32), Zabol (1.28), West Azerbaijan (1.18) and finally Golestan (1.14) had significant RR of IM (all p<0.05). The lowest RR of infant mortality for year 2001 were belong to rural areas of Tehran University (0.56) and for year 2006 to former Iran University (0.52).
Conclusion: To estimate the mortality map parameters, the full Bayesian method is preferred compared to empirical Bayes and maximum likelihood.
Ma Akhoond, A Kazemnejad, E Hajizadeh, Sr Fatemi, A Motlagh,
Volume 6, Issue 4 (16 2011)
Abstract
Background & objectives: Competing risk data is one of the multivarite survival data. Competing risk data can be modelled using copula function. In this study we propose a bayesian modelling approach of competing risk data using the copula function.
Methods: We used the data from colorectal cancer registyrarty in Tehran. After constructing likelihood function using Clayton copula by choosing appropriate prior distribution for parameters, we obtained the posterior distribution of parameters using the Metropolis-Hastings algorithms and Slice sampling.
Results: The results of univariate analysis showed that sex, histology of tumor, extent of wall penetration, lymph node metastasis, distant metastasis and pathological stage of tumor were significantly associated with colon cancer and sex, histology of tumor, lymph node metastasis, distant metastasis and pathological stage of tumor were were significantly related to rectal cancer. In the multivariate analysis, age at diagnosis, tumor grade and distant metastasis were significant prognostic factors for colon cancer and tumor grade and size of the tumor were significant prognostic factors of rectal cancer
Conclusions: As we showed some variables may have different impacts on colon and rectum cancers, consequently, further studies are needed to be conducted considering risk factors of these cancers separately.
M Payab, Ar Dorostymotlagh, Mr Eshraghian, R Rostami, F Siassi, M Ahmadi,
Volume 8, Issue 1 (20 2012)
Abstract
Background & Objectives: Food insecurity has been a global concern. The purpose
of the present study was to examine the relationship between household food
insecurity and depression in mothers with school children in Ray city.
Methods: A cross-sectional survey of 430 mothers of school children was
conducted in 2010 in Ray city. We employed USDA food security questionnaire.
The prevalence of depression in mothers was assessed by Beck Depression
Inventory (DBI).
Results: Household food insecurity was identified approximately in fifty
percent of participants and frequency of depression was 51.4% in mothers.
Depression in ‘food secure' group was 34.6%, and in ‘food insecure with hunger'
group was 77.8%. There was a positive relationship between depression and food
insecurity in mothers having primary school children living in Ray.
Conclusion: The
findings of this study revealed that level of food insecurity among mothers
seems high. This study highlights the need to integrate programs addressing
food insecurity and poor mental health for mothers.
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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.
H Mirzaei, Mh Panahi, K Etemad, A Ghanbari-Motlagh , K Holakouie-Naini ,
Volume 12, Issue 3 (Vol 12, No 3 2016)
Abstract
Background and Objectives: Colorectal cancer is the third most common cancer in men and the second most common cancer in women in the world. The colorectal cancer screening program was conducted in Iran as a pilot in the late 2010 with the aim of reducing the burden of colorectal cancer. The aim of this study was to evaluate the colorectal cancer screening program in Iran.
Methods: This cross-sectional study was conducted on data from the pilot colorectal cancer screening programs. First, the indicators of the colorectal cancer screening program were determined through a comprehensive review of scientific databases, interviews with experts and implementation of pilot evaluation. Then, the indicators were calculated through descriptive analysis using SPSS version 18.
Results: The indicators and their values were as follows: coverage rate 33.04%, participation rate 53.3%, percentage of consulted people 99.6%, percentage of blood samples 37%, percentage of colonoscopy 54.8%, cancer detection rate 2.7%, and polyp detection rate 18.1%. Among people who gave blood samples 1.6% had familial adenomatous polyposis (FAP) syndrome, 43.06% had hereditary no polyposis colorectal cancer (HNPCC) syndrome, and 29% were sporadic cases.
Conclusion: The screening program in Iran has differences with other countries which have affected the indicators.
Me Motlagh, F Torkastani, H Ashrafian Amiri , Sm Rabiee, L Radpooyan, Sd Nasrollahpour Shirvani , Z Hassanzadeh Rostami ,
Volume 13, Issue 4 (VOl 13, No.4, Winter 2018)
Abstract
Background and Objectives: Satisfaction of health care recipients is always considered by policy makers and implementers as an indicator of measuring the quality and determining the effectiveness of services. This study aimed to determine the satisfaction of mothers from first level of Iranian network system.
Methods: This cross-sectional study was conducted to assess the incidence of maternal mortality in six provinces of Iran in 2015. Twenty-four public health centers were randomly stratified and selected. In each center, 15 to 20 mothers who were covered by prenatal care were examined. The data were collected through a researcher-made questionnaire whose validity and reliability were confirmed, interviews with mothers, and their medical records. SPSS version 17 was used for analysis. P values less than 0.05 were considered significant.
Results: Of 2722 mothers participating in the study, 2187 (80.3%) were satisfied with the condition and facilities of health units and service providers and 535 (19.7%) were dissatisfied. The highest level of satisfaction in mothers was observed in the areas of behavior, complete services, training of health professionals, and adequacy of pharmaceutical products while the lowest level of satisfaction was related to the adequacy of the medical education and the distance between the health unit and home. There was a significant relationship between 16 demographic variables and maternal satisfaction (P<0.05).
Conclusion: This study showed that about one fifth of pregnant mothers are still not satisfied with the first level of network systems in Iran and many factors have an impact on their satisfaction. It is recommended to design and implement interventional programs to increase their satisfaction.
