Objective(s): To determine the quality of life for adults with a chronic obstructive pulmonary disease.
Methodology: A descriptive study was carried out on (80) patients with a chronic obstructive pulmonary disease from
December 2008 through October 2009 with special inclusion criteria (adult paƟents from 18 years and above exclude
the patients who suffer complication related of disease and from psychological problems and other chronic illnesses.
The data were analyzed through the application of descriptive data analysis approach and inferential data approach.
Result: The study indicated that the determination of QoL for COPD depended on the level of effect .The grades
according to R.S are: "high" effect of disease in the physical, level of independence and environmental domain and
"moderate" in the psychological domain, social domain and "low" in the spiritual domain. Finally the study revealed
that there is significant association between (types of smoking, occupation after disease, family history) with total
score QOL and no significance with sex, age, marital status, educational level, income.
Recommendation: The study recommended that the establishment of pulmonary rehabilitation centers for chronic
obstructive pulmonary disease, an educational programs and manual guide should be distributed to the chronic
obstructive pulmonary disease patients.
In this paper, the effect size measures was discussed, which are useful in many estimation processes for direct effect and its relation with indirect and total effects. In addition, an algorithm to calculate the suggested measure of effect size was suggested that represent the ratio of direct effect to the effect of the estimated parameter using the Regression equation of the dependent variable on the mediator variable without using the independent variable in the model. Where this an algorithm clear the possibility to use this regression equation in Mediation Analysis, where usually used the Mediator and independent variable together when the dependent variable regresses on them. Also this an algorithm to show how effect of the
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Abstract
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