Objectives: to assess chronic diseases patients’ knowledge toward stroke risk factors and warning signs, besides
determining the relationship between chronic diseases patients’ knowledge and their sociodemographical
characteristics.
Methodology: A descriptive study was carried out at public medical clinics which has started from December
2
nd, 2008 to August 8th, 2009. A purposive "non-probability" sample of (300) chronic diseases individuals who
were clients of Public Medical Clinics who have one or more of the following chronic diseases (hypertension,
diabetes mellitus, heart diseases, and previous stroke), in Baghdad city. The data were collected through the use
of a constructed questionnaire which consists of three parts (1) Sociodemographic data form that consist 7-items
(2) Medical data form that consists of 10-items and (3) Main domains of the studied phenomena form consists of
3-sections (domains) of definition, warning sings, and risk factors of 62 items, by means of direct interview
technique with the chronic diseases patients. Descriptive statistical analysis procedures (frequency, percentage,
mean of scores, standard deviation, and relative sufficiency) and inferential statistical analysis procedures
(pearson correlation coefficient, contingency coefficient, Chi-square test, and Fisher exact probability test) were
used.
Results: The findings of the study indicated that there is a knowledge deficit of chronic diseases patients mainly
in stroke warning signs followed by stroke risk factors. No significant relationship was found between chronic
diseases patients’ knowledge and their gender, employment, while significant relationship was found between
chronic diseases patients’ knowledge and their age and level of education.
Recommendations: The study recommends that an intensive comprehensive, evidence-based obligatory wide
population-based health education programs are needed to improve awareness of stroke, especially among the
most vulnerable groups (chronic diseases patients), eldeely, and less educated persons as well as lay people.
1. Building an analysis tool that determines the strength of a relationship in a psychological experiment. 2. To identify the degree of direction of the research sample on the lab psychological variable according to gender (males - females). 3. Recognize that there are no statistically significant differences about the psychological laboratory variable according to gender (males - females). To investigate the goals of the current research, seek to develop a tool to measure attitudes towards laboratory psychological variables that are scaled according to a range of 24 items including paragraphs ranging from positive to negative attitudes that gradually change from significantly agree, moderately agree, slightly agree, not agree, and I do
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Many questions and opinions often surround the development of science that can support it or arouse suspicion, either for fear of future consequences or to rein force and expand knowledge. The study of nanoparticles and their effects has been the most critical area of scientific research in recent years, as their production and various applications have increased. This review highlights the multiple effects (negative and some positive) of nanoparticles on some genetic and immunological aspects, as these aspects are closely related to the health of the organism’s bodily functions. This review also focuses on nanofertilizers as an example of the outcomes of nanotechnology. Moreover, it clarifies the reasons for concerns about the use
... Show MoreConstruction projects are characterized as projects with multi phases and activities, complex, unique, and have many different parties and stakeholders. Risks could appear at one or more of the construction project stages and may affect the achievement of project objectives. Therefore, one of the key elements in the planning phase of any project is the risk management process (RMP). This study attempts to understand the terminology of risk in general, risk management, and response to risk in particular. This study is mainly a review of thirty-eight studies that have been published between 1997 and 2020 that demonstrate the importance of the crucial phase of risk response from the risk management process and its impact on
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Objective: To identify feeding problems of children with congenital heart disease.
Methodology: Non probability (purposive) sample of (65) were selected of 225 children who visit Al Nasiriya
heart center during the period of conducting the pilot study, previously diagnosed with congenital heart
disease.
Results: The study results indicated that children with congenital heart disease have feeding difficulties, low
birth weight , repeated diarrhea , more than half of the sample taking medication for heart disease which cause
repeated vomiting, difficulty taking liquids and refusal of feeding or eating.(64.6%) of study sample suffered
from wasting. (78.5%) suffered from stunting. Almost half of the study sample suffered
Diagnosing heart disease has become a very important topic for researchers specializing in artificial intelligence, because intelligence is involved in most diseases, especially after the Corona pandemic, which forced the world to turn to intelligence. Therefore, the basic idea in this research was to shed light on the diagnosis of heart diseases by relying on deep learning of a pre-trained model (Efficient b3) under the premise of using the electrical signals of the electrocardiogram and resample the signal in order to introduce it to the neural network with only trimming processing operations because it is an electrical signal whose parameters cannot be changed. The data set (China Physiological Signal Challenge -cspsc2018) was ad
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Abstract
Objective(s): To evaluate the nurses` practices for children who diagnosed with febrile convulsion.
Methodology: A quantitative research, descriptive correlational design was used in this study, the study conducted on nurses who work in Al-Diwaniya Pediatrics Teaching Hospital-Iraq for Maternal and Children period from 12th September 2021 to 10th October 2022. A non- probability (convenience) sample has been applied to obtain the study goals. The study sample was (21) nurses who participate in the study. The study tool is composed of two parts: The first part is concerned with collection of nurses socio-demographic data obta
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