Health Promotion
Leili Rabiei; Masoud Lotfizadeh; Mohamad Abbasi; Akbar Babaei Heydarabadi; Reza Masoudi
Abstract
Background and aims: Maintaining the health of diabetic people depends on the self-management of the disease. This study aimed to evaluate the relationship of distress, self-efficacy, perceived social support, and self-care with self-management behaviors in the patients with type 2 diabetes.
Methods: ...
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Background and aims: Maintaining the health of diabetic people depends on the self-management of the disease. This study aimed to evaluate the relationship of distress, self-efficacy, perceived social support, and self-care with self-management behaviors in the patients with type 2 diabetes.
Methods: The present analytical-descriptive study was conducted on 228 diabetic patients, during 2016-2017. Most of the participants were male (60.6%) and the mean age of them was 51.95±15.04. The participants were selected based on a simple random sampling method after completing the consent form. The required data were collected through questionnaires of distress, self-efficacy, perceived social support, self-care, and self-management. The data were statistically analyzed using SPSS software version 22.0.
Results: Out of 228 participants, 77.3% were married and the highest frequency in terms of educational attainment was related to those with a high school diploma. The results indicated that the duration of affliction with diabetes was less than 10-15 years in 88.9% of the participants. Pearson correlation test demonstrated that the total score of self-management had a significant relationship with the total scores of distress, perceived social support, self-efficacy, and self-care (P<0.005). The results of regression analysis also indicated that distress, perceived social support, self-efficacy, and self-care had a predictive power of 0.43% for self-management. Among these variables, the predictive powers of self-efficacy and self-care were statistically significant, and the prediction rate of self-efficacy was more than that of other ones (β = 0.17).
Conclusion: The study findings showed that the researchers who want to perform interventions based on cognitive-social theory should mainly focus on self-care and self-efficacy.
Epidemiology
Babak Mohammadzadeh; Kazem Sattari; Masoud Lotfizadeh
Volume 3, Issue 4 , November 2016, , Pages 376-385
Abstract
Background and aims: The aim of this study was to investigate the relationship between brain waves and Beck Depression Inventory(BDI) score in clinical cases with depression.Methods: In this study, EEG was taken using neurofeedback device at the point F4 of dorsolateral prefrontal cortex (DLPFC) of the ...
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Background and aims: The aim of this study was to investigate the relationship between brain waves and Beck Depression Inventory(BDI) score in clinical cases with depression.Methods: In this study, EEG was taken using neurofeedback device at the point F4 of dorsolateral prefrontal cortex (DLPFC) of the brain of 60 depressed patients referred to psychiatric clinic. At the same time, Beck Depression Inventory was performed to assess the severity of depression. With the condition of artifact lower than 50%, fourty one EEG related to the 41 subjects were remained after eliminating artifact.Results: The findings of this study confirm the mean decrease in alpha and theta waves and increase beta wave in the brain waves of depressed patients. Comprehensive analysis of the data with a multi-regression indicates a predictable BDI score at F4, based on two variables (mean beta and mean alpha) which reflects the depression increase by increased mean beta and decreased mean alpha according to the following equation: Depression based on Beck at F4 point is equal to: Beck’s depression score= mean beta (0.532)+mean Alpha (0.412).Conclusion: Due to rapid growth of the elderly population in the country as well as Chaharmahal and Bakhtiari province, considering the needs of this age group is an important necessity.
Neurology
Babak Mohammadzadeh; Mehdi Khodabandelu; Masoud Lotfizadeh
Volume 3, Issue 1 , February 2016, , Pages 42-52
Abstract
Background and aims: Paper-pencil tests have always its own problems in the mental disorders evaluation, including learning questions, bad or good blazon are the problems with this methodology. This study aimed to propose a new alternative method of measuring mental disorders without paper-pencil test ...
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Background and aims: Paper-pencil tests have always its own problems in the mental disorders evaluation, including learning questions, bad or good blazon are the problems with this methodology. This study aimed to propose a new alternative method of measuring mental disorders without paper-pencil test using EEG. Methods: The research society involved depressed patients referred the psychiatrist clinics in Tabriz. 107 patients were selected as samples using a convenient sampling method. The Beck test was conducted. The EEG was recorded from the F4 point concurrent with displaying the film of 5 animated emotional images from Normed Images database (IAPS). The specialized screen of this recording was designed by the author in the Biograph Infinity software of device. Other software was written by the author in order to separate the αpeak frequency average associated with any image of the recorded EEG. Then the research variablesα1peak , α2peak , α3peak , α4peak , α5peak of each patient were analyzed with SPSS. After all, another 26 patients were selected to measure the Golden Standard, sensitivity, Positive predictability, Negative predictability and ROC. Results: The results of the multiple regression analysis showed that α1peak associated with αpeakfrequancy of image 1 had more explanatory power with a beta value of 0.289 compared with other variables. Then α3peak had a high explanatory power. The regression equation for the predicting the score based on his/her EEG was found in terms of αpeak frequency.Discussion: This research showed that Beck's depression score was predictable without using any questionnaire but according to EEG with a high sensitivity (100%), specificity (30.8%), PPV (59.1%), NPPV (100%), and ROC (57.4%).
Biotechnology
Hamidreza Iranpoor; Venus Vatankhah; Masoud Lotfizadeh
Volume 2, Issue 3 , September 2015, , Pages 140-145
Abstract
Background and aims: Laron syndrome is a disease that treated by Insulin-like Growth Factor 1 (IGF-1). This protein is a single chain and has three disulfide bonds. People with Laron syndrome have low rates of cancer and diabetes, although they appear to be at increased risk of casual death due to their ...
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Background and aims: Laron syndrome is a disease that treated by Insulin-like Growth Factor 1 (IGF-1). This protein is a single chain and has three disulfide bonds. People with Laron syndrome have low rates of cancer and diabetes, although they appear to be at increased risk of casual death due to their stature. IGF-1 is synthesized by many tissues and is secreted from liver as an endocrine hormone which is transmitted to other tissues. IGF-1 is responsible for cell differentiation, transformation, suppression of apoptosis, cell cycle progression, cell proliferation and differentiation. Expression system, the igf-1 gene, codon adaptation index (CAI) and GC contents are very critical for the large scale production of this protein. Current study was aimed to Optimization and Construction of human IGF-1 gene in E. coli DH5α. Methods: we used DNA2 and ProtParam softwares for designing the best form to produce IGF-1. First, the coding sequence was verified and then synthesized. For confirmation of the pUC18-IGF-1, sequencing test was carried out using M13 reverse primer. Finally it was inserted into the cloning site of pUC18. Results: After coding optimization, the CAI rate was increased from 84 % to 90% and GC content from 55.07 % to 56.62%. The presence of the band near 225bp resulted from enzymatic digestion with 2 restriction enzymes demonstrates the correct cloning of the recombinant vectors in the cloning site of pUC18 cloning vector. Conclusion: According to software and experimental analysis, the designed sequence probably in the best form could be used for production of recombinant protein.