Background: Considering that the effect of alcohol consumption trend on the prevalence of kidney damage and its progression has not been determined yet, the study aimed at investigating the association between alcohol consumption and the risk of chronic kidney disease (CKD) prevalence and progression at various stages of the disease. Materials and Methods: This cross-sectional study was performed on 3374 participants that referred to health-care centers in Isfahan from 2017 to 2019. Participants' basic and clinical characteristics (such as sex, age, education level, marital status, body mass index, blood pressure, alcohol consumption, comorbidities, and laboratory parameters) were evaluated and recorded. The alcohol consumption trend was classified as never, occasional (<6 drinks/week), and frequent (≥6 drinks/week) based on the amount of alcohol consumption over the last 3 months. Moreover, CKD stages were recorded based on the Kidney Disease: Improving Global Outcomes guideline, as well. Results: In the present study, the occasional and frequent drinking of alcohol did not have a significant effect on the odds of CKD prevalence (odds ratio [OR]: 1.32 and 0.54; P > 0.05) and the odds of stage 2 CKD prevalence as compared to stage 1 CKD prevalence (OR: 0.93 and 0.47; P > 0.05). However, adjusting the confounding factors revealed that occasional drinking as compared to nondrinking increased the odds of stage 3 and 4 CKD prevalence as compared to stage 1 CKD prevalence by 3.35 folds, respectively ( P < 0.05). Conclusion: According to the results of this study, occasional drinking as compared to nondrinking significantly increased the odds of stage 3 and 4 CKD prevalence as compared to stage 1 CKD prevalence.

Background: Poor sleep quality is a common issue among patients with end-stage renal disease (ESRD) who undergo dialysis. Nutritional habits are associated with sleep hygiene in patients undergoing dialysis. The objective of this study was to examine the potential correlation between nutritional status and sleep quality in individuals receiving hemodialysis treatment. Materials and Methods: This cross-sectional study included 160 hemodialysis patients. A food frequency questionnaire (FFQ) was used to measure food intake in participants. The Persian-validated version of the Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. Patients were classified as poor or good sleepers with a PSQI score of <5 and >5, respectively. Results: Eighty-four percent of hemodialysis patients had bad sleep hygiene. There was a significant association between sleep quality and educational status and age ( P < 0.001). Poor sleepers were older (61.65 years versus 51.12) and less educated (31.1% versus 4%). However, there was no significant difference in the intake of micro- and macronutrients between poor and good sleepers ( P > 0.05). Conclusion: The results of this study suggest that sleep quality has no significant relationship with nutrient intake in hemodialysis patients. Demographic factors, such as age and educational status, have played a more effective role than nutritional factors in patients’ sleep quality.