Association of diabetes mellitus and dyslipidaemias in the Tehran population.

The aim of this survey was to evaluate the role of diabetes in the lipid profiles of the Tehran population. Measurements were carried out on 10 136 people aged 20-69 years for blood sugar, triglycerides, total cholesterol, LDL cholesterol, and HDL cholesterol and data were collected on medical history, physical activity, smoking and obesity. The prevalence of any type of dyslipidaemia in the whole group was 68.5% and of diabetes mellitus was 11.0% (10.6% in men and 11.3% in women). The prevalence of dyslipidaemia in diabetics was 88.9%. There was strong association between diabetes mellitus and dyslipidaemia (P < 0.05). In regression analysis, diabetes was the second most important factor after obesity in secondary dyslipidaemia.

Association of diabetes mellitus and dyslipidaemias in the Tehran population

The aim of this survey was to evaluate the role of diabetes in the lipid profiles of the Tehran population. Measurements were carried out on 10 136 people aged 20-69 years for blood sugar, triglycerides, total cholesterol, LDL cholesterol, and HDL cholesterol and data were collected on medical history, physical activity, smoking and obesity. The prevalence of any type of dyslipidaemia in the whole group was 68.5% and of diabetes mellitus was 11.0% [10.6% in men and 11.3% in women]. The prevalence of dyslipidaemia in diabetics was 88.9%. There was strong association between diabetes mellitus and dyslipidaemia [P < 0.05]. In regression analysis, diabetes was the second most important factor after obesity in secondary dyslipidaemia

Does etiology of end-stage renal disease affect sleep quality in kidney transplant recipients?

BACKGROUND: That hypertension (HTN) as a leading cause of end-stage renal disease (ESRD) is linked to sleep disorders in the general population can be the basis of a hypothesis that HTN may be a contributing factor to the poor quality of sleep in some kidney transplant recipients. This study was designed to investigate the correlation between ESRD secondary to HTN and sleep quality among kidney transplant recipients. METHODS: In this case control study, 201 kidney transplant recipients were divided into group I (ESRD) secondary to HTN, (n=82) and group II (ESRD secondary to other causes, n=119). The groups were matched for medical comorbidities, demographic and clinical data, and symptoms of anxiety and depression. Sleep quality assessed by means of the Pittsburgh Sleep Quality Index (PSQI) was compared between the study groups. RESULTS: The mean (SD) of the total PSQI score was significantly high in group I compared with group II (7.42 +/- 2.36 vs 6.60 +/- 3.07, P=.042). Similar results were observed for the sleep duration scores in the groups (1.22 +/- 1.12 vs 0.86 +/- 1.12, P=.026). In group I, all the other PSQI components were higher than those in group II, difference that were statistically significant. CONCLUSION: Sleep quality and duration was poorer among our kidney transplant recipients with ESRD secondary to HTN compared with the controls. Further studies, however, are required to investigate whether HTN is responsible for the reported poor quality of sleep in some kidney transplant recipients.

Sleep quality and its correlates in renal transplant patients.

BACKGROUND: The aim of this study was to evaluate correlated morbidity measures with poor sleep quality among kidney transplanted patients. METHODS: In a cross-sectional study of 125 Iranian kidney transplant patients in 2006, we employed self-administered questionnaires to evaluate the quality of sleep (PSQI), quality of life (SF-36), anxiety and depression, sexual activity, marital relationship, and medical comorbidity. Patients with PSQI score of >5 were considered to be "poor sleepers." Students t-test was used to compare the morbidity measures between the two groups: "poor sleeper" versus "good sleepers." RESULTS: Seventy-eight (62%) patients were poor sleepers. This group showed a higher total medical comorbidity score (P=.009), more bodily pain, poorer general mental health, and less physical function on SF- 36 (P=.02), less sexual function, and more severe anxiety (P=.02). There was no significant difference between poor sleepers and good sleepers in the mean of other subscores of the SF-36, marital status, and depressive symptoms. CONCLUSIONS: A poor quality of sleep is common after kidney transplantation. This problem is associated with higher medical comorbidity and poorer emotional state. Therefore, more attention should be paid to evaluation of sleep quality in this patient population.