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Search Results: 1 - 10 of 327 matches for " Parvin Sarbakhsh "
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Weight change and incident metabolic syndrome in Iranian men and women; a 3 year follow-up study
Azadeh Zabetian, Farzad Hadaegh, Parvin Sarbakhsh, Fereidoun Azizi
BMC Public Health , 2009, DOI: 10.1186/1471-2458-9-138
Abstract: A total of 1431 men and 2036 women aged ≥ 20 years with BMI > 18.5 kg/m2 were followed over 3 years. Multivariate logistic regression analysis was used to estimate the relative risk (RR) of MetS and its components (the Adult Treatment Panel III definition) associated with gender-stratified quintiles of percent weight change. Subjects with MetS at baseline were excluded for analyzing the RR of MetS.There was 20.4% (95% CI, 19.6–21.2) age-adjusted incident MetS (18.4% male vs. 23.1% women). In men, mild weight gain (WG) predicted high waist circumference (WC) and high triglyceride; moderate WG predicted MetS (RR 2.5, 95% CI 1.4–4.3), high WC and high blood pressure (BP); large WG predicted MetS (RR 3.2, 95% CI 1.8–5.7) and its components, except for high fasting plasma glucose. In women, mild WG predicted MetS (RR 2.5, 95% CI 1.4–4.3), high WC and high BP; moderate WG predicted Mets (RR 4.6, 95% CI 2.7–8.0), high WC and high triglyceride; large WG predicted MetS (RR 6.6, 95% CI 3.8–11.3) and its components except for low HDL-cholesterol. Mild weight loss had protective effect on high WC in both genders and MetS in men (RR 0.5, 95% CI 0.26–0.97, P = 0.04).Weight change showed different effects on MetS in men and women. In women, mild WG predicted MetS; however, mild weight loss was protective against MetS in men and high WC in both genders.The prevalence of overweight and obesity is increasing worldwide [1], and body weight is closely associated with mortality and morbidity [2,3]. Obesity has been known as an important risk factor of cardiovascular disease (CVD) [4] and weight reduction in overweight or obese individuals was known to have beneficial health effects [5]. It has been suggested that weight gain increases risk of developing hyperinsulinemia [6] and insulin resistance is an origin of metabolic syndrome (MetS) which is a strong risk factor of CVD [7]. Therefore, it seems that investigations on the association of weight change and MetS are essential to clarify
Gender Differences Time Trends for Metabolic Syndrome and Its Components among Tehranian Children and Adolescents
Maryam Barzin,Farhad Hosseinpanah,Hamidreza Saber,Parvin Sarbakhsh,Kobra Nakhoda,Fereidoun Azizi
Cholesterol , 2012, DOI: 10.1155/2012/804643
Abstract: Aims. To investigate the trend of metabolic syndrome and its components in Tehran children and adolescents during a median followup of 6.6 years. Methods. Data from 1999–2001 (phase I), 2002–2005 (phase II), and 2006–2008 (phase III) of the Tehran, Lipid and Glucose Study were analyzed (=5439; age 6–18 years) for the trend of metabolic syndrome (MetS) and its components. General estimation equation (GEE) models were used to analyze this correlated data. Results. The crude prevalence of MetS for boys at baseline was 13.2%, which increased to 16.4% in the third phase. In girls, the prevalence of Mets decreased from 11.8% at baseline to 6% during followup. The odd ratios (OR) of obesity over the whole study period were raised in both sexes. The OR of abdominal obesity increased significantly in boys, but no change was observed in girls. No significant OR was observed in boys, while OR for MetS was shown to have a decreasing trend in girls during the followup. In the three time points, the ORs of MetS decreased significantly in girls but no significant difference was observed in boys. Conclusion. Inspite of increasing trend for obesity in both sexes, the trend of MetS decreased in girls and was relatively stable in boys, in Tehranian children, and adolescents.
Lipid ratios and appropriate cut off values for prediction of diabetes: a cohort of Iranian men and women
Farzad Hadaegh, Masumeh Hatami, Maryam Tohidi, Parvin Sarbakhsh, Navid Saadat, Feridoun Azizi
Lipids in Health and Disease , 2010, DOI: 10.1186/1476-511x-9-85
Abstract: The study population consisted of 5201 non diabetic (men = 2173, women = 3028) subjects, aged ≥20 years. The risk factor adjusted odds ratios (ORs) for diabetes were calculated for every 1 standard deviation (SD) change in TC, log-transformed TG, HDL-C, non-HDL-C, TC/HDL-C and log-transformed TG/HDL-C using multivariate logistic regression analysis. Receiver operator characteristic (ROC) curve analysis was used to define the points of the maximum sum of sensitivity and specificity (MAXss) of each lipid measure as a predictor of diabetes.We found 366 (146 men and 220 women) new diabetes cases during follow-up. The risk-factor-adjusted ORs for a 1 SD increase in TG, TC/HDL-C and TG/HDL-C were 1.23, 1.27 and 1.25 in men; the corresponding risks in females were 1.36, 1.14, 1.39 respectively (all p < 0.05, except TC/HDL-C in females which was marginally significant, p = 0.07). A 1 SD increase of HDL-C only in women decreased the risk of diabetes by 25% [0.75(0.64-0.89)]. In both genders, there was no difference in the discriminatory power of different lipid measures to predict incident diabetes in the risk factor adjusted models (ROC ≈ 82%). TG cutoff values of 1.98 and 1.66 mmol/l; TG/HDL-C cutoff values of 4.7 and 3.7, in men and women, respectively, TC/HDL-C cutoff value of 5.3 in both genders and HDL-C cutoff value of 1.18 mmol/l in women yielded the MAXss for defining the incidence of diabetes.TC/HDL-C and TG/HDL-C showed similar performance for diabetes prediction in men population however; among women TG/HDL-C highlighted higher risk than did TC/HDL-C, although there was no difference in discriminatory power. Importantly, HDL-C had a protective effect for incident diabetes only among women.The prevalence and incidence of type 2 diabetes (hereafter diabetes) are high in the Middle Eastern countries [1-3], which are estimated, will have the largest increases in the prevalence of diabetes by 2030 [4].The prevalence of Type 2 diabetes is reported to be over 14% in Teh
Gender Differences Time Trends for Metabolic Syndrome and Its Components among Tehranian Children and Adolescents
Maryam Barzin,Farhad Hosseinpanah,Hamidreza Saber,Parvin Sarbakhsh,Kobra Nakhoda,Fereidoun Azizi
Cholesterol , 2012, DOI: 10.1155/2012/804643
Abstract: Aims. To investigate the trend of metabolic syndrome and its components in Tehran children and adolescents during a median followup of 6.6 years. Methods. Data from 1999–2001 (phase I), 2002–2005 (phase II), and 2006–2008 (phase III) of the Tehran, Lipid and Glucose Study were analyzed ( ; age 6–18 years) for the trend of metabolic syndrome (MetS) and its components. General estimation equation (GEE) models were used to analyze this correlated data. Results. The crude prevalence of MetS for boys at baseline was 13.2%, which increased to 16.4% in the third phase. In girls, the prevalence of Mets decreased from 11.8% at baseline to 6% during followup. The odd ratios (OR) of obesity over the whole study period were raised in both sexes. The OR of abdominal obesity increased significantly in boys, but no change was observed in girls. No significant OR was observed in boys, while OR for MetS was shown to have a decreasing trend in girls during the followup. In the three time points, the ORs of MetS decreased significantly in girls but no significant difference was observed in boys. Conclusion. Inspite of increasing trend for obesity in both sexes, the trend of MetS decreased in girls and was relatively stable in boys, in Tehranian children, and adolescents. 1. Introduction The metabolic syndrome (MetS) is defined as a clustering of metabolic risk factors including central obesity, hyperglycemia, dyslipidemia, and hypertension [1]. In recent decades, obesity and metabolic risk factors among children and adolescents have been much focused on several studies showing that increasing obesity and MetS in this population is associated with a number of adverse consequences in adulthood including type 2 diabetes mellitus and coronary heart disease, most likely due to overproduction of inflammatory mediators and insulin resistance [2–4]. While current estimates indicate a 2% to 9% prevalence for MetS in US adolescents [5], 14.1% of Iranian children have MetS based on ATP III criteria resulting from the increasing prevalence of overweight and abdominal obesity among Iranian children and adolescents [6, 7]. Previous studies also demonstrated higher triglyceride and lower HDL-C levels in Iranian adolescents compared to their American counterparts [8, 9]. This increased prevalence would necessitate the need for identifying the time trend of Mets and its components in our population. Although the prevalence and associated risk factors of MetS have been widely studied in recent decades [10–12], much less is known in regard to changes in risk factor status over a longer
Transition Logic Regression Method to Identify Interactions in Binary Longitudinal Data  [PDF]
Parvin Sarbakhsh, Yadollah Mehrabi, Jeanine J. Houwing-Duistermaat, Farid Zayeri, Maryam Sadat Daneshpour
Open Journal of Statistics (OJS) , 2016, DOI: 10.4236/ojs.2016.63042
Abstract: Logic regression is an adaptive regression method which searches for Boolean (logic) combinations of binary variables that best explain the variability in the outcome, and thus, it reveals interaction effects which are associated with the response. In this study, we extended logic regression to longitudinal data with binary response and proposed “Transition Logic Regression Method” to find interactions related to response. In this method, interaction effects over time were found by Annealing Algorithm with AIC (Akaike Information Criterion) as the score function of the model. Also, first and second orders Markov dependence were allowed to capture the correlation among successive observations of the same individual in longitudinal binary response. Performance of the method was evaluated with simulation study in various conditions. Proposed method was used to find interactions of SNPs and other risk factors related to low HDL over time in data of 329 participants of longitudinal TLGS study.
A Classifier Ensemble of Binary Classifier Ensembles
Hamid Parvin,Sajad Parvin
International Journal of Electronics Communication and Computer Technology , 2011,
Abstract: This paper proposes an innovative combinational algorithm to improve the performance in multiclass classification domains. Because the more accurate classifier the better performance of classification, the researchers in computer communities have been tended to improve the accuracies of classifiers. Although a better performance for classifier is defined the more accurate classifier, but turning to the best classifier is not always the best option to obtain the best quality in classification. It means to reach the best classification there is another alternative to use many inaccurate or weak classifiers each of them is specialized for a sub-space in the problem space and using their consensus vote as the final classifier. So this paper proposes a heuristic classifier ensemble to improve the performance of classification learning. It is specially deal with multiclass problems which their aim is to learn the boundaries of each class from many other classes. Based on the concept of multiclass problems classifiers are divided into two different categories: pairwise classifiers and multiclass classifiers. The aim of a pairwise classifier is to separate one class from another one. Because of pairwise classifiers just train for discrimination between two classes, decision boundaries of them are simpler and more effective than those of multiclass classifiers.The main idea behind the proposed method is to focus classifier in the erroneous spaces of problem and use of pairwise classification concept instead of multiclass classification concept. Indeed although usage of pairwise classification concept instead of multiclass classification concept is not new, we propose a new pairwise classifier ensemble with a very lower order. In this paper, first the most confused classes are determined and then some ensembles of classifiers are created. The classifiers of each of these ensembles jointly work using majority weighting votes. The results of these ensembles are combined to decide the final vote in a weighted manner. Finally the outputs of these ensembles are heuristically aggregated. The proposed framework is evaluated on a very large scale Persian digit handwritten dataset and the experimental results show the effectiveness of the algorithm.
Impact of Irrigation on Food Security in Bangladesh for the Past Three Decades  [PDF]
M. Wakilur RAHMAN, Lovely PARVIN
Journal of Water Resource and Protection (JWARP) , 2009, DOI: 10.4236/jwarp.2009.13027
Abstract: Bangladesh has made impressive progress in agriculture sector in the last three decades and has almost be-come self-sufficient in food grain production. This is a tremendous achievement owing to its small territory and huge population and this was achieved through agricultural mechanization and modernization. Irrigation is one of the leading inputs has direct influence to increase yield, food grains production and plays vital role for ensuring food security in Bangladesh. The present study examined the growth of irrigated area and its impact on food grain production during last three decades. Time series data were used for the study. Differ-ent statistical methods such as mean, percentage, linear and exponential growth model were applied for get-ting meaningful findings. Various technologies have been used for irrigating crops which have contributed to rapid expansion of irrigated area. The conventional irrigation methods (Low Lift Pump, Dhone, Swing Bas-ket, Treadle Pump etc.) were replaced by modern methods (i.e Deep Tube Well and Shallow Tube Well). In addition, surface water irrigation also sharply declined, losing its importance due to lack of new surface irri-gation project and the ineffectiveness of earlier project. Groundwater covered 77 percent of total irrigated area and major (62%) extractions occurred through Shallow Tube Wells (STWs). The rapid expansion of ground water irrigation in respect to STWs irrigation was due to government’s withdrawal on restrictions on tube well setting rule, encouraging private sector and the cost effectiveness of Chinese engine which have been affordable to the small and medium farmers. Irrigated area thus, increased by about three times and cropping intensity also increased from 154 to 176 percent. Boro rice, an irrigated crop, consumed 73 percent of the total crop irrigation and contributed to a greater extent in total rice production in Bangladesh. Boro rice alone contributed to 55 percent of total food grain and was also highest (3.44 MT per hectare) compared to aus rice (1.66 MT per hectare) and aman rice (1.99 MT per hectare) per unit production. Consequently, the cultivated area of boro rice increased by 1168 to 4068 thousand hectares. The higher productivity of boro rice has almost helped the nation to meet her food requirements (about 24 Million MT). Boro rice production was highly correlated (r = .978) with irrigated area. Expansion of one hectare of irrigated area added 3.22 MT of boro rice in Bangladesh. Finally, the study suggested for expansion of irrigated areas (ground water and surface water),
Effect of BDNF and Adipose Derived Stem Cells Transplantation on Cognitive Deficit in Alzheimer Model of Rats  [PDF]
Parvin Babaei, Bahram Soltani Tehrani
Journal of Behavioral and Brain Science (JBBS) , 2013, DOI: 10.4236/jbbs.2013.31015
Abstract:

In this study, the potential for recovery mediated by co-treatment of brain-derived neurotrophic factor (BDNF) and adipose tissue derived stem cells (ASCs) on functional recovery after Ibotenic acid (Ibo) lesion of the nucleus basalis magnocellularis (NBM) was examined. Ibotenic acid was injected bilaterally into the NBM of experimental rats, then the animals received treatments as follows: ASCs (500 × 103), BDNF (5 ug/ul) and a combination of BDNF and ASCs. Two months after the treatment, cognitive recovery was assessed by the Morris water-maze. These results showed that ASCs transplantation may have therapeutic value in disease and conditions that result in memory loss, and co-treatment with BDNF doesn’t offer more efficacious cognitive function.

Effect of Different Parameters on Removal and Quality of Soybean Lecithin
Parvin Eshratabadi
Research Journal of Biological Sciences , 2012,
Abstract: With regard to study the effective factors on removal and quality of lecithin extracted from soybean oil and the residual amount of phosphatids in degummed oil, this study was arranged. Crude oil recovered from soybean which had been processed by conventional solvent extraction and reached to a phosphorus content of 454 ppm, was used for this purpose. Treatment were carried out under different concentrations of phosphoric acid (0, 0.05, 0.1, 0.2, 0.5, 2) and different percents of water ( 0.5, 1, 2, 5, 3, 4) at different temperatures (25, 50, 60, 75, 90 C) and with different stirring times (5,10, 20, 40, 60 min). The highest phosphatid recovery was obtained with 3% (v v 1) water at 75 C with stirring time of 20 min. Phosphoric acid adding decreased the phosphatid residue in degummed oil but the quality of lecithin was reduced. However addition of phosphoric acid lower than 0.05% (v v 1) at 60 C resulted the same recovery efficiency without important effect on quality of lecithin.
Investigation of the prevalence of aggression against women by husbands in among the persons who are dependent to opium substance who were referred to an addiction clinic of the Medical University of Rafsanjan during the year 2004
Aghamohammadhasani Parvin
Annals of General Psychiatry , 2006, DOI: 10.1186/1744-859x-5-s1-s167
Abstract:
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