Objective(s): This study aims to assess health related quality of life among Iraqi patients with chronic viral hepatitis
B and C also to find out the relationship between health related quality of life and patients demographic
characteristic and to design a new measurement scale for assessing QoL among viral hepatitis B and C patients
which can be suitable to be adopted for Iraqi patients
Methodology: A descriptive quantitative study is carried out at Gastroenterology and Hepatology Teaching
Hospital from February, 1st, 2011 to August 30th 2011, Anon probability (purposive sample) of (100) chronic viral
hepatitis B and C persons , who were clients of Gastroenterology and Hepatology Teaching Hospital / outpatient
clinic for follow up. The data were collected through the use of semi-constructed questionnaire, which consists of
three parts (1) demographic data form that contains (10) items (2) form medical information that contains of (7)
items and (3) main domains of the quality of life which contains six main domains: physical, psychological, level of
independence, social, environmental, spiritual domain. Content validity was determined by a panel of experts in
different specialties. Reliability of instrument was determined by the use of test–retest approach through the pilot
study. The data were described statistically and analyzed through use of the descriptive and inferential statistical
analysis procedures.
Results: The findings of the presented study indicate that the chronic viral hepatitis B and C affect the quality of
life domains. There is a non-significant relationship between socio-demographic characteristic and quality of life
domains. The study concludes that the chronic viral hepatitis B and C are most common occurring among persons
in urban residential area than in those in rural. chronic viral hepatitis B and C are most common in male than in
females, chronic viral hepatitis B and C are most common in married than in unmarried, chronic viral hepatitis B &
C are most common in non-drink alcohol than in drink, chronic viral hepatitis B and C are most common in low
level education than other, chronic viral hepatitis B and C are most common in low socioeconomic status.
Recommendations : the study recommended An intensive comprehensive wide population-based ( national level)
studies could be conducted to assess the chronic viral hepatitis B and C patients quality of life also Health oriented
mass media approach should be employed by the Ministry of Health to increase population knowledge and
awareness about the route of transmission and risk factor of chronic viral hepatitis B & C and Involving both
governmental and non-governmental organizations in national health promotion campaign
The effectiveness of upward training with weights to develop explosive power, characterized by speed and some functional variables for young volleyball players Many efforts of sports laboratories in various countries have been devoted to laying scientific foundations and rules in caring for the physical, skilled, planning, and psychological preparation of players and creating the conditions and requirements for reaching players to higher standards. The research aims to:1- Preparing an ascending training program with weights to develop explosive strength, which is characterized by speed and some functional variables for volleyball players.2- Identify the effect of the training program with upward training in weights to develop explosive stre
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Due to advancements in computer science and technology, impersonation has become more common. Today, biometrics technology is widely used in various aspects of people's lives. Iris recognition, known for its high accuracy and speed, is a significant and challenging field of study. As a result, iris recognition technology and biometric systems are utilized for security in numerous applications, including human-computer interaction and surveillance systems. It is crucial to develop advanced models to combat impersonation crimes. This study proposes sophisticated artificial intelligence models with high accuracy and speed to eliminate these crimes. The models use linear discriminant analysis (LDA) for feature extraction and mutual info
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