Objectives: To identify quality of life (QOL) in Myocardial Infarction (MI) patients, and to find out the
relationship between QOL in MI patients and demographic characteristics.
Methodology: A descriptive colTelation study which utilized an assessment approach. The study was carried out
from March 2007 through November 2007 in order to assess the quality of life for patients with myocardial
infarction. A purposive "non-probability" sample of (75) patients with myocardial infarction who were attending
to Baquba General Hospita`l through their visits to that hospital. A questionnaire was adapted and developed
from the World Health Organization Quality of Life Scale (1998). The questionnaire was designed and
consisted of (2) parts, the fust part includes demographic characteristics of Myocardial Infarction patients,
clinical characteristics of these patients and medical sheet information. The second one consists of six domains
of quality of life. Reliability was determined by using test and retest technique through a Pilot study. Data were
analyzed through descriptive data analysis approach (Frequency and percentage) and the inferential data analysis
approach (Pearson con.elation coefficient and chi-square).
Results: The results of the study indicated that (53.3%) of the sample was male and (41.7%), age between (61-
70) years, (68.0%) was married and more than two third of sample were unable to read and write, (44%) of the
sample was housewife (do not work). The findings of the study present that the demographic characteristics of
MI patients such as gender, level of education had a significant relationship with their quality of life. The
socioeconomjc characteristics of patients such as marital status hnd no significant relationship with the patients'
quality of life. The finding also shows disease had moderate, low and no effect on quality of life through the
relative sufficiency from the spiritual domain (RS=83.8), the independence (RS=76.9), psychological domain
(RS=76.7), physical domain (RS=74.6), social domain a`S=69.9), and environment domain (RS=62.3).
Recommendations: The study recommended that an educational program for MI patients to help them have a
better QOL and advice them how to cope with their problems for a good QOL.
المستخلص:
في هذا البحث , استعملنا طرائق مختلفة لتقدير معلمة القياس للتوزيع الاسي كمقدر الإمكان الأعظم ومقدر العزوم ومقدر بيز في ستة أنواع مختلفة عندما يكون التوزيع الأولي لمعلمة القياس : توزيع لافي (Levy) وتوزيع كامبل من النوع الثاني وتوزيع معكوس مربع كاي وتوزيع معكوس كاما وتوزيع غير الملائم (Improper) وتوزيع
... Show MorePoly (viny1 alcohol) (PVA) of 72000 g mol -1 molar mass was cross linked through cold cast esterification with different mol % of MA and EDTA (10 % , 20 % and 30 % ), and two different mol % mixture of MA l EDTA (20 %/5% and 20%/10% .
The purpose of this research work is to synthesize conjugates of some NSAIDs with sulfamethoxazole as possible mutual prodrugs to overcome the local gastric irritation of NSAID with free carboxyl group by formation of ester linkage that supposed to remain intact in stomach and may hydrolyze in intestine chemically or enzymatically; in addition to that attempting to target the synthesized derivative to the colon by formation of azo group that undergo reduction only by colonic bacterial azo reductaze enzyme to liberate the parent compound to act locally (treatment of inflammation and infections in colon).
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Abstract
Bivariate time series modeling and forecasting have become a promising field of applied studies in recent times. For this purpose, the Linear Autoregressive Moving Average with exogenous variable ARMAX model is the most widely used technique over the past few years in modeling and forecasting this type of data. The most important assumptions of this model are linearity and homogenous for random error variance of the appropriate model. In practice, these two assumptions are often violated, so the Generalized Autoregressive Conditional Heteroscedasticity (ARCH) and (GARCH) with exogenous varia
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