4 results on '"Seyed Kazem Farahmand"'
Search Results
2. The relationship between adherence to a Dietary Approach to Stop Hypertension (DASH) dietary pattern and insomnia
- Author
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Hosein Rostami, Sayyed Saeid Khayyatzadeh, Hamidreza Tavakoli, Mohammad Bagherniya, Seyed Jamal Mirmousavi, Seyed Kazem Farahmand, Maryam Tayefi, Gordon A. Ferns, and Majid Ghayour-Mobarhan
- Subjects
DASH ,Diet ,Sleep ,Insomnia ,Adolescent ,Psychiatry ,RC435-571 - Abstract
Abstract Background Adherence to a DASH- style diet has been reported to be associated with several health-related outcomes. A limited number of reports suggest that diet is an important behavioral determinant of insomnia. The current study aimed to explore the relationship between adherence to a DASH diet and the prevalence of insomnia in adolescent girls. Methods A total of 488 adolescent girls aged 12–18 years old were recruited from different regions of Khorasan Razavi in northeastern of Iran, using a random cluster sampling method. DASH scores were determined according to the method of Fung et al. A validated Iranian version of the Insomnia Severity Index questionnaire was used to assess sleep insomnia. To assess the association between the DASH dietary pattern and insomnia, we applied logistic regression analysis in crude and adjusted models. Results As may be expected, participants in the upper quintile of the DASH diet had significantly higher intakes of fruits, vegetables, low fat dairy products, fish and nuts and lower consumption of refined grains, red and processed meat, sugar-sweetened beverages and sweets. We found that a high adherence to a DASH-style diet was associated with a lower odds of insomnia (OR: 0.51; 95% CI 0.26–1.00) compared with those with lowest adherence. Similar results were found after adjustment for potential confounders. Conclusions There is an inverse association between adherence to DASH dietary patterns and insomnia. Further prospective studies are required to demonstrate these findings.
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- 2019
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3. The comparison of frequency of the upper limb musculoskeletal disorders among patients with diabetes type II with normal cases
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Zahra Haeri Kermani, Seyed Mojtaba Mousavi Bazzaz, Seyed Kazem Farahmand, and Ali Akbar Raoof
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Diabetes type II ,Musculoskeletal disorders ,Medicine (General) ,R5-920 - Abstract
Background and aim: Musculoskeletal disease, that is recognized in diabetes and diabetes mellitus (DM) has shown a higher prevalence of chronic musculoskeletal complications. This study aimed at assessing the frequency of upper limb musculoskeletal disorders among patients with diabetes type II with normal cases in Mashhad, Iran. Methods: A cross-section of 100 patients with upper limb musculoskeletal disorders were enrolled in this study. The patients were examined by a unique physician considering carpal tunnel syndrome disorder, trigger finger, adhesive capsulitis, and Dupuytren’s contracture at Ghaem hospital, Mashhad, Iran in 2015. All collected data were recorded by using SPSS version 21 and were analyzed through independent-samples t-test for comparing changes, and Chi-square. Results: In this study, the mean age was 51.7±8.7 years old. Gender frequency was 114 (57%) male, and 86 (43%) female. There was no significant difference between groups in cases of gender frequency and mean of age (p>0.05). In evaluation of association between the two groups, there was significant difference for adhesive capsulitis, (p=0.04). Chi-square test showed significant association for age and adhesive capsulitis between the two groups, (p=0.040); but no other diabetes-related disorders, (p˂0.05). Conclusion: The results of this study showed that in patients with diabetes mellitus and musculoskeletal complications such as upper limb musculoskeletal abnormalities, it will lead to an increase in skeletal muscle effects in DM patients. It is recommended that musculoskeletal examination is done periodically in DM patients for identification of these disorders and necessary actions are carried out for prevention of the disorders as soon as possible.
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- 2017
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- View/download PDF
4. An assessment of the risk factors for vitamin D deficiency using a decision tree model
- Author
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Kayhan Gonoodi, Alireza Amirabadi Zadeh, Susan Darroudi, Mohsen Nematy, Maryam Saberi-Karimian, Majid Ghayour Mobarhan, Seyed Kazem Farahmand, Saeid Eslami, Gordon A. Ferns, Maryam Tayefi, Zahra Abasalti, Alireza Moslem, Medical Informatics, APH - Aging & Later Life, and APH - Methodology
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Male ,medicine.medical_specialty ,Waist ,Adolescent ,Endocrinology, Diabetes and Metabolism ,030209 endocrinology & metabolism ,Gastroenterology ,Risk Assessment ,vitamin D deficiency ,03 medical and health sciences ,0302 clinical medicine ,Waist–hip ratio ,Risk Factors ,Internal medicine ,Diabetes mellitus ,Internal Medicine ,medicine ,Vitamin D and neurology ,Humans ,030212 general & internal medicine ,Risk factor ,Vitamin D ,Child ,Models, Statistical ,Receiver operating characteristic ,business.industry ,Decision Trees ,General Medicine ,medicine.disease ,Prognosis ,Vitamin D Deficiency ,Female ,business ,Decision tree model ,Biomarkers ,Follow-Up Studies - Abstract
Background and objectives Vitamin D (25-hydroxyvitamin D or 25OHD) has a key role in the pathogenesis of several chronic disorders. Vitamin D deficiency is a common global public health problem. We aimed to evaluate the risk factors associated with vitamin D deficiency using a decision tree algorithm. Methods A total of 988 adolescent girls, aged 12–18 years old, were recruited to the study. Demographic characteristics, serum biochemical factors, all blood count parameters and trace elements such as Zinc, Copper, Calcium and SOD were measured. Serum levels of vitamin D below 20 ng/ml were considered to be deficiency. 70% of these girls (618 cases) were randomly allocated to a training dataset for the constructing of the decision-tree. The remaining 30% (285 cases) were used as the testing dataset to evaluate the performance of decision-tree. In this model, 14 input variables were included: age, academic attainment of their father, waist circumference, waist to hip ratio, zinc, copper, calcium, SOD, FBG, HDL-C, RBC, MCV, MCHC, HCT. The validation of the model was assessed by constructing a receiver operating characteristic (ROC) curve. Results The results showed that serum Zn concentration was the most important associated risk factor for vitamin D deficiency. The sensitivity, specificity, accuracy and the area under the ROC curve (AUC) values were 79.3%, 64%, 77.8% and 0.72 respectively using the testing dataset. Conclusions The results suggest that the serum levels of Zn is an important associated risk factor for identifying subjects with vitamin D deficiency among Iranian adolescent girls.
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- 2019
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