BACKGROUND _ OBJECTIVES: The scope of the quality of life assessment is not widespread in any time like today. Economists, social scientists and politicians look at this topic from the particular approach. The life quality in @entity1956 @entity1 regarding the degree of its progress is considered a major concern in these @entity1 . Thus, the aim of the study was analyzing the dimensions of the life quality of a group of @entity1 suffering from @entity1956 in Mazandaran province in 2012. METHODS: This study was done by descriptive, cross-sectional method on 210 (118 @entity1 and 92 @entity1 ) @entity1956 @entity1 that six month have passed from their diagnosis and formation of follow-up form in health centers, using access sampling method at six regions of Mazandaran province.The instruments of the study were the questionnaire of World Health Organization questionnaire (WHOQOL-BREF) and the chronic @entity409 questionnaire (CLDQ). For analyzing the data from descriptive statistics and Kolmogrov-Smirnov test, one sample t-test, two stage Confirmatory factor analysis, Spss and Lisrel software has been used. RESULTS: Findings showed that the social relationship dimension with factor loading of 0.81 has the most amount of coefficient of effectiveness; physical health with factor loading of 0.72, mental health with factor loading of 0.63 and environmental health with factor loading of 0.55 have the least amount of coefficient of effectiveness in creating the general life quality of @entity1956 @entity1 . In the quality of life in @entity99 @entity1 , the emotional function with factor loading of 0.76 has the most coefficient of effectiveness, activity dimension with factor loading of 0.67, fatigue with factor loading of 0.47, abdominal syptoms with factor loading of 0.42 and worry with factor loading of 0.32 have the least coeficient of effectivness in making CLDQ domains of hepatit B @entity1 . CONCLUSIONS: The general quality of life in @entity1 had been below average and social relationship and emotional function must be properly investigated and managed in @entity1956 @entity1 in order to improve life quality. WHOQOL-BREF and CLQD proved to be a useful instrument to assess general life quality in @entity1 and can be helpful to find practical strategies to improving life quality in these @entity1 .

Analyzing the Dimensions of the Quality of Life in XXXX Patientsusing Confirmatory Factor Analysis.

@entity1 :: ('9606', 'Species') :: ['women', 'patients', 'people', 'men'] @entity409 :: ('MESH:D008107', 'Disease') :: ['liver disease'] @entity99 :: ('MESH:D056486', 'Disease') :: ['hepatitis'] @entity1956 :: ('MESH:D006509', 'Disease') :: ['hepatitis B']
@entity1956 :: (MESH:D006509,Disease) :: ['Hepatitis B']
