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Showing 7 results for Hoseini

Mostafa Najafi, Seyed Mahmood Mirhoseini, Maryam Moghani Lankarani, Shervin Assari, Seyed Abbas Tavalaie,
Volume 4, Issue 2 (17 2004)
Abstract

Background: Family satisfaction in subpopulations referred to the endocrine clinic including diabetic and non diabetic patients and their spouses are compared in the present study. This study also assesses the correlation between family satisfaction and variables such as age, sex, educational level, economic status, type of diabetes, duration of the disease, type of therapy and dosage of drugs. A comparison of the frequency of sexual dysfunction between diabetics and non-diabetic pairs was also done.
Methods: In this case- control study, 400 subjects were selected as simplified non-randomized method from outpatients referred to the Shahre Kord endocrine clinic in 2002. We assigned samples to group I (diabetic patients, n=100), group II (diabetic patients spouses, n=100), group III (non-diabetic patients, n=100) and group IV (non-diabetic patients spouses, n=100). Groups I and II were similar in sex, socioeconomic status and educational level. GRIMS family relationship questionnaire was used to evaluate family satisfaction.
Results: Family satisfaction for diabetics in comparison with non-diabetics (P=0.05), diabetics in comparison with their spouses (P=0.003), and non-diabetics in comparison with their spouses (p=0.002) were significantly less. There was no significant difference between family satisfaction in diabetic and non-diabetic patients spouses (p>0.05). Relative frequency of sexual dysfunction was 76% and 29% and relative frequency of decreased libido was 32% an 12%, in diabetic and non- diabetic couples, respectively. Family satisfaction was less in patients with diabetes type I and whom using higher dosage of drugs.
Conclusion: This study emphasized on the attention to the family as a part of approach to the diabetic patients. According to our results, it is recommended to focus the most attention in this field to the patients with type I diabetes and who consume more amounts of drugs.
Maryam Karkhaneh, Ehsaneh Taheri, Mostafa Qorbani, Mohamad Reza Mohajeri Tehrani, Saeed Hoseini,
Volume 14, Issue 4 (5-2015)
Abstract

Background: A unique subset of Individuals with normal body mass index (BMI= 18.5-24.9 kg/m2) and high body fat percentage (above 30% in women and 23% in men) that are termed as normal weight obese, are at increased risk for development of the metabolic syndrome and chronic diseases because the adipose mass and the excess of fat mass are an important source of proinflammatory cytokines. The aim of the present study was based on this hypothesis that women with high body fat percentage and normal body mass index are at increased risk for the metabolic syndrome in compared to healthy non obese women. Methods: This was as case-control study in which 40 obese women with normal weight (BMI= 18.5-24.9 kg/m2) and body fat percentage above 30% (FM> 30%) and 30 non-normal weight obese women (BMI= 18.5-24.9 kg/m2) and fat percentage less than 25% (FM <25%) who were matched for age (mean age = 28 years) recruited for this study. The components of metabolic syndrome including Anthropometric variables, blood pressure and fasting plasma concentrations of total cholesterol, LDL cholesterol, HDL cholesterol, triglycerides, glucose and insulin were measured. Results: The anthropometric measurements including waist and hip circumferences in NWO was higher than non-NWO (respectively 74.78±4.81 vs. 70.76±2.91 and 99.12±4.32 versus 93.16±2/91, Pvalue<0.001), while the waist-to-hip ratio did not differ between the two groups (p=0.448).Also no significant differences were observed in concentrations of total cholesterol, LDL cholesterol, HDL cholesterol, triglycerides, fasting plasma glucose, systolic and diastolic pressure between groups. Fasting serum insulin and insulin resistance was higher in NOW compared to non NWO (Pvalue<0.05) and insulin sensitivity in NWO was lower than non NWO (0.357 versus 0.374, pvalue = 0.043). Conclusion: Because of the higher serum insulin concentration and the lower insulin sensitivity, obese women with normal body mass index but high body fat percentage can be associated with a higher risk for metabolic dysregulation and metabolic syndrome compared to healthy women with the same body mass index and normal body fat percentage


Reza Ghadimi, Sadat Hoseini Seiyedi, Hasan Ashrafian Amiri, Seiyed Davoud Nasrollahpour Shirvani,
Volume 15, Issue 5 (7-2016)
Abstract

Background: In recent years, waist and hip circumference measurements simultaneously used as anthropometric factors to determine the prevalence of overweight and obesity in adults, in addition to Body Mass Index. Some studies have confirmed the relationship between the above mentioned factors and the hematological parameters of cardiometabolic disorders. This study aimed to determine the association between anthropometric factors and hematological factors in 25-60 years old couples of Babol, Mazandaran.

Methods: This cross-sectional descriptive study was conducted in spring 2014, on research population of 25-60 year old couples who were selected by random cluster. Data collected through a researcher-made questionnaire containing about demographic variables, underlying factors, dependent variables; its validity and reliability were confirmed. The collected data were analyzed by SPSS18 software.

Results: Men’s BMI had significant direct relationship with systolic and diastolic blood pressure, fasting blood sugar, cholesterol and triglycerides (p<0.05). Women’s BMI had a significant direct relations with systole and diastole blood pressure, fasting blood sugar and triglycerides (p<0.05). There was a significant direct relationship between men’s and women’s Waist/Hip Ratio (WHR) with systole and diastole blood pressure, fasting blood sugar, cholesterol and triglycerides (p<0.05). There was a significant direct relationship between men’s and women’s anthropometric indices (apart from the BMI) associated with serum biomarkers of cardiometabolic disorders (p<0.05).

Conclusion: The results showed that increased BMI and WHR in couples, increases the amount of cardiometabolic serum biomarkers and may directly and indirectly cause the risk of chronic diseases.


Vahid Maleki, Mohamad Reza Mohajeri Tehrani, Ehsaneh Taheri, Mostafa Qorbani, Mohsen Sedighiyan, Saeed Hoseini,
Volume 16, Issue 2 (1-2017)
Abstract

Background: The major cause of obesity is an imbalance between energy intake and energy expenditure and resting energy expenditure (REE) is the most important determining factor in metabolism because it can reduce obesity and body fat mass gain. Overt hypothyroidism is associated with a lower resting energy expenditure (REE). With treatment, the resting energy expenditure (REE) will be normal. But a group of patients with treatment and normal serum level of TSH and thyroid hormones, Continue to complain of the lack of improvement of Clinical signs of overt hypothyroidism. This study is designed whether patients that have Clinical signs of overt hypothyroidism in compared with patients without Clinical signs, resting metabolic rate, body composition and lipid profile are different or not.
Methods: This study is a descriptive and comparative study on 100 women with overt hypothyroidism are treated with levothyroxine. The patients were divided into 2 groups of 50 patients with and without clinical signs. All patients were matched for age and BMI and menstrual cycle. 2 groups regarding anthropometric measurements, resting energy expenditure (REE), body composition, thyroid hormones, lipid profile and diet were compared with each other.
Results: The average resting energy expenditure (REE) and adjusted of it for weight was significantly lower in the group with Clinical signs (Pvalue<0.03). But there was no significant difference between the 2 groups for the form of an adjustment for fat free mass (FMM) and FT3. The body fat mass (FM) was higher in the group with Clinical signs (Pvalue<0.005).But there was no significant difference between the 2 groups in the percentage of body fat mass and fat free mass (FMM). Serum levels of TSH, TF4, FT4, TT3, FT3, total cholesterol, HDL, LDL, there was no significant difference between the 2 groups. But the level of blood triglycerides (TG) in the group with Clinical signs was significantly higher than the group without Clinical signs (Pvalue<0.01).
Conclusion: Patients with Clinical signs, lower resting energy expenditure (REE) and fat mass (FM) and triglycerides blood (TG) is higher than in patients without Clinical signs.
Zahra Shafipour, Abdolrasoul Daneshjoo, Masoumeh Hoseini,
Volume 18, Issue 6 (9-2019)
Abstract

Background: Nesfatin-1 is an adipokine that released by adipose tissue and participated in the regulation of insulin activity and glucose metabolism. The aim of this research is the investigation the effect of aerobic training and walnut consumption on nesfatin-1 and insulin resistance index of women Type 2 diabetes.
Methods: 40 women aged 40 to 50  years old with type 2 diabetes after homogenization based on Bruce test were selected through targeted sampling and they were randomly assigned to four groups of training, walnut, training + walnut and control (each group was 10). The 8-week aerobic training was three sessions per week for 16 minutes with 65% of maximal heart rate in the first week, while in the eighth week it reached 30 minutes with 80% of maximal heart rate. The walnut groups each day replaced 25 to 27 grams of walnuts as part of a diet rich in PUFA fatty acids, replacing one third of total dietary fat. 24 hours before the first session and 48 hours after the last session of the protocol, all subjects received blood samples. The inter-subject inter-analysis variance analysis was used. The significance level was considered as P <0.05.
Results: In the training groups, weight, body mass index, glucose, insulin and insulin resistance decreased significantly and the maximum oxygen consumption and nesfatin -1 increased significantly(P<0.05). 
Conclusion: Aerobic training with this intensity and amount can be recommended as auxiliary treatment for type 2 diabetic women. Walnut consumption with this value did not affect the level of blood glucose, insulin resistance index and nesfatin-1 in type 2 diabetic women. It is recommended that high-dose walnuts be used for effective operation.

Mohamad Derakhshandeh, Farzaneh Taghian, Khosro Jalali Dehkordi, Ali Hoseini,
Volume 21, Issue 6 (3-2022)
Abstract

Background: Artificial intelligence analysis based on the gene list obtained from the DisGeNET database identified the important genes involved in the heart damage process. Data enrichment highlighted the apoptosis signaling pathway as a vital pathway in cardiovascular risk. Hence, we estimated the binding affinity of chemical and plant bioactive molecules for cytochrome-c protein. Here, we performed to evaluate the effect of eight weeks of resistance training (RT) with Tribulus Terrestris (TT) consumption on the mechanism of apoptosis in the heart tissue of rats exposed to stanozolol.
Methods: Thirty-five male rats were divided into seven groups: (1) Control, (2) Stanozolol (ST), (3) ST + 100 mg / kg TT, (4) ST + 50 mg / kg TT, (5) ST + RT (SRT), (6) S + RT + 100 mg / kg T (SRTT100), and (7) ST + RT + 50 mg / kg T (SRTT50). Differential gene expression was measured by q-RT-PCR. In bioinformatics analysis, the apoptosis signaling pathway was defined as a critical process in heart damage. In addition, adverse effects of Tribulus Terrestris and stanozolol on heart tissue were detected through the apoptotic pathway by molecular docking.
Result: Resistance training along with 100 mg/kg reduced CRP and cytochrome-c Moreover, 100 mg/kg TT as a more favorable effect than 50 mg/kg TT
Conclusion: we showed the beneficial effects of Tribulus Terrestris, the plant’s bioactive compound that can reduce cardiovascular risks by impairing the formation of apoptosome assemblages and inflammation.
Mostafa Boskabadi, Najmeh Mohajeri, Ali Taghipour, Habibollah Esmaily, Syeid Javad Hoseinij, Ehsan Mosa Farkhani,
Volume 22, Issue 6 (3-2023)
Abstract

Background: In Iran, with the advancement of technology and the development of registration statistics, the need to use data mining methods has attracted more attention from researchers. Regression and classification tree is one of the important methods in Big data modeling, which has attracted the attention of many researchers for community control and prediction. The purpose of this study is to determine the influencing variables on the occurrence of complications caused by diabetes.
Methods: This paper is a cross sectional-analytical study. In this research, all diabetic patients covered by Mashhad University of Medical Sciences in 2017 were extracted from the SINA system. The number of diabetics with complications was 5016 and diabetics without complications were 53613. The method of fitting the regression tree model and classification and measurement criteria of the model is the coefficient of determination and the area of the Rock curve and the Lift diagram.
Results: The rock curve for the fitted tree model is 73.8%, which shows the relatively high power of the model. Based on the Lift chart, the decision-making power of diabetes complications increases 3.5 times for the person who comes to visit.
Conclusion: The results of the regression model and tree classification showed that, in descending order, age, risk assessment factor, FBS, HbA1C, total activity time, cholesterol, FBS and HDL, cardiovascular disease, history of stroke, blood pressure, cholesterol Statin prescription, job with hard physical activity, living area, consumed oil, walking, consumption of vegetables and gender are more effective than other factors in the occurrence of diabetes complications.

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