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  1. Ana Sayfa
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Yazar "Akkus Z." seçeneğine göre listele

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  • [ X ]
    Öğe
    Acute Effects of Dynamic Stretching and Self Mobilization Exercises on Balance and Proprioception
    (University of Dicle, 2021) Akdag M.B.; Badilli F.S.; Akkus Z.
    The aim of this study was to investigate dynamic stretching applied to healthy individuals with tight hip flexor muscle and the effects of self-mobilization exercises on muscle tightness, balance and proprioception. 36 Participants with healthy hip flexor muscle tightness were included in the study. The participants with hip flexor muscle tightness were divided into two groups by simple randomization method. Measurement methods were applied before and after the exercise. Hipflexor muscle was measured by modified Thomas test. Proprioception was measured with digital inclinometer using the active knee extension method. Dynamic balance was measured by Y balance test. As a result of post-exercise evaluations in both groups, there was a significant improvement in muscle tightness after exercise (p=0.000). There was no significant difference in hipflexor muscle tightness between two groups (p=0.669). It was found no significant difference in all proprioception values except the 30 degree left extremity value in the dynamic stretching group (p=0.074). There was no difference between the groups in terms of proprioception (p=0.823).Dynamic balance results showed a significant increase in both groups (p =0.001). It was determined no significant difference between the groups in terms of balance. As a result, we can say that dynamic stretching and self-mobilization exercises can significantly improve muscle tightness and dynamic balance, do not significantly change proprioception. Thereis no difference between these two exercises in terms of these parameters. © 2021, Journal of International Dental and Medical Research. All Rights Reserved.
  • [ X ]
    Öğe
    Can exposure to manganese and extremely low freIuency magnetic fields affect some important elements in the rat teeth?
    (2012) Ince B.; Akdag Z.; Bahsi E.; Erdogan S.; Celik S.; Akkus Z.; Dalli M.
    Background: Length and level of exposure to electromagnetic fields (EMFs) is increasing in association with the widespread use of electrical and electronic devices and technological progress. The undesirable effects of extremely low freIuency magnetic fields (ELF-MFs) on health have attracted considerable interest. Materials and Methods: Sixty-four fourmonth- old male Wistar rats divided into eight groups of eight rats each were used. Seven groups were exposed to varying dosages of manganese (Mn) and a 50 Hz magnetic field (MF) of approximately 1 mT, while the last group was set aside as the cage control group and not subjected to any procedure. This study was intended to investigate the interactions between the application of MF and Mn and the elements Ca, Zn, Mg, and P thought to be involved in caries, in rat teeth. Results: Levels of Ca, Mg, Zn, and P in the experimental group rats were different to those in the control group. Conclusions: The results demonstrate that ELFMF and Mn can have significant effects on levels of elements in rat teeth. Further experimental and epidemiological studies of ELF-MF and Mn are needed in order to evaluate their dental effects.
  • [ X ]
    Öğe
    The criteria for classification tree methods in clinical researches
    (2010) Akkus Z.; Sanisoglu S.Y.; Ugurlu M.; Celik M.Y.
    This study aimed at evaluating a statistical method, classification tree, which are recently developed parallel to the improvements in computer technology. The advantages over other methods and the criterions developed for classification tree are reported in this study. Classification tree (CT) is a non-parametric statistical method using a tree algorithm for reaching diagnosis by utilizing one or more risk factors. Classifications (discriminative, logistic regression and cluster analysis etc) and regression methods are frequently employed in analysing data acquired from scientific studies. However, hypothesis in these models makes the statistical analysis limited to be performed in wide range of disciplines. As there is no need for hypothesis in analysing these data sets, classification trees are serious alternative for other statistical classification and regression techniques. Classification tree, also known as Decision tree, is a good choice for data mining classifications in respect to both understanding and explaning the some particular rules about estimating the results. These methods are evolved following the improvements in computer technology. Classification tree is becoming more important in practice as it provides reliable measures in building accurate classifications. The advantages of the method over others are the following: simplification of the results, provision of non-parametric and lineer solutions, generalization of the conclusions optained by inductive reasoning. More over the technique can utilize mixed data types and the same variable can be employed in different parts of the tree. The determination of choices, which is crucially important in accurate interpretation of the results, needs time and effort in practicing the method. In field of medicine, classification tree is one of the favorable methods particulary utilized in clinical studies.
  • [ X ]
    Öğe
    Determination of medicine and dentistry students? Market choice and their attitudes in preferring brand name products using binary logistics regression method
    (2012) Akkus Z.; Satici O.; Sanisoglu S.Y.; Akyol M.; Keskin S.
    The aim of this study is to determine Medicine and Dentistry students' market choices and their attitude in buying brand name products. Currently, price and quality of products in hypermarkets are the common features consumers care when shopping. It is well known that many people prefer cheap and quality products and maintain a relative attitude due to increasing economic difficulties. 229 medicine and 222 dentistry (totally 451) students comprise the samples of this study. A poll of 28 questions was conducted to determine the preferences of the students in shopping. Taking market preferences as dependent variable, and other related variables as independent, the parameters affecting market preferences are analyzed with Binary Logistic Regression Method. To the question "Which market do you prefer in shopping?", 155 students (%34,4) replied BIM, 138 of them (%30.8) replied Grocer's, 88 of them (%19.5) replied Migros, 70 of them (%15.5) said Carrefoursa is the market they prefer in shopping. As result of the survey, in the first and second analysis, correct classification rates have been found to be 81.6% and 76.3% respectively. It has been found out that the most effective parameters in preferring markets for shopping are age, father's education, type of accommodation (house, dorms, with parents, etc.), buying the markets' brand name products, selling quality products, product variety, market's being modern and spacious. In field works, because it produces more reliable results than both univariate logistic analysis and other statistical analysis when the variables representing the data are discrete variables, multivariate logistic regression analysis is considered to be the best method to be used.
  • [ X ]
    Öğe
    Determination of osteoporosis risk factors using a mutiple logistic regression model in postmenopausal Turkish women
    (2005) Akkus Z.; Camdeviren H.; Celik F.; Gur A.; Nas K.
    Objectives: To determine the risk factors of osteoporosis using a multiple binary logistic regression method and to assess the risk variables for osteoporosis, which is a major and growing health problem in many countries. Methods: We presented a case-control study, consisting of 126 postmenopausal healthy women as control group and 225 postmenopausal osteoporotic women as the case group. The study was carried out in the Department of Physical Medicine and Rehabilitation, Dicle University, Diyarbakir, Turkey between 1999-2002. The data from the 351 participants were collected using a standard questionnaire that contains 43 variables. A multiple logistic regression model was then used to evaluate the data and to find the best regression model. Result: We classified 80.1% (281/351) of the participants using the regression model. Furthermore, the specificity value of the model was 67% (84/126) of the control group while the sensitivity value was 88% (197/25) of the case group. We found the distribution of residual values standardized for final model to be exponential using the Kolmogorow-Smirnow test (p=0.193). The receiver operating characteristic curve was found successful to predict patients with risk for osteoporosis. This study suggests that low levels of dietary calcium intake, physical activity, education, and longer duration of menopause are independent predictors of the risk of low bone density in our population. Conclusion: Adequate dietary calcium intake in combination with maintaining a daily physical activity, increasing educational level, decreasing birth rate, and duration of breast-feeding may contribute to healthy bones and play a role in practical prevention of osteoporosis in Southeast Anatolia. In addition, the findings of the present study indicate that the use of multivariate statistical method as a multiple logistic regression in osteoporosis, which maybe influenced by many variables, is better than univariate statistical evaluation.
  • [ X ]
    Öğe
    Effects of manganese ethylene-bis-dithiocarbamate (Maneb) on rat nasal respiratory mucosa
    (Acta Medica Mediterranea, 2013) Deveci E.; Yorgancilar E.; Ekinci C.; Koparal M.; Akkus Z.; Yavuz D.
    Maneb (Mn-ethylene(bis)dithiocarbamate is a dithiocarbamate pesticides. It is a fungicide pesticide used in the control of mildew disease on certain crops. In general, dithiocarbamates are considered chemicals of low toxicity for humans. However, the effects of maneb in humans are diverse. It has some effects to humans via absorption through skin and respiratory system. The nasal mucosa is the first part of the airways in contact with the environment and toxic agents. The aim of this study was todetermine the histopathological effects of maneb on nasal mucosa. In experimental group, the maneb was administered with inhalation to 10 male Wistar-Albino rats for five days a week. The control group (n=10) received distilled water with spray at the same time period. The experiment was terminated after three weeks. In each case, sections of the nosewere taken. In experimental group,microscopic examination of nasal respiratory mucosa revealed; Hypertrophy of epithelial cells and goblet cells, increasing of mucus secretion, decreasing in sizes of cilia and flattening of the cells near the basement membrane and apoptotic cells in the degenerated respiratory epithelial cells, detected a mild inflammatory reaction and a vascular dilatation in the connective tissue. All changes were statistically significant. In control group of 10 rats no significant histopathologic lesions were found. As a result, our study , maneb is potentially toxic agent to respiratory mucosa.

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