@entity308 and Quality of Life in XXXX With Type 2 Diabetes.

@entity1 @entity308 @entity101 @entity6 @entity102 @entity1316
BACKGROUND: Frequency of @entity1316 in @entity1 with @entity102 , especially @entity6 and its effects on life quality are dramatically increasing. OBJECTIVES: This study aimed to investigate the relation between @entity308 and quality of life in @entity1 with @entity6 . @entity1 AND METHODS: This is a cross sectional survey. Subjects were selected from 330 eligible @entity1 referred to the only @entity6 clinic in Gorgan City during 6 months, using systematic random sampling. Beak @entity308 questionnaire and the brief questioner with 26 questions recommended by the World Health Organization (WHOQOL-BREF) were used to measure @entity308 and quality of life, respectively. Data were analyzed through descriptive methods, Chi-square, Independent t test and linear regression model using SPSS16; moreover, P value < 0.05 was considered as significant. RESULTS: In total, 330 @entity1 with @entity6 (35.5 % male and 64.5% @entity1 ) were studied. The mean and standard deviation of their age and years involved with @entity6 were 50.6    9.0 and 5.4    4.5 years, respectively. Range of age was 25 - 75 years, as well. The prevalence of @entity308 in all @entity1 with @entity6 was 58.2% (124 mild, 56 medium, and 12 with severe @entity308 ). @entity101 was 13.9% more in @entity6 @entity1 with @entity308 (P value < 0.001) and physical activity in 24.7% of the cases was less with a meaningful difference (P value = 0.01). The mean and standard deviation of quality of life in @entity6 @entity1 with and without @entity308 was 50.7    14 and 60.5    13.3, respectively that was significant in two groups (P < 0.0001). CONCLUSIONS: The prevalence of @entity308 is high in @entity1 with @entity6 and has a considerable impact on the consequences of @entity6 and quality of life too.
