Hemodialysis-induced chronodisruption and chronotype distribution in patients with chronic kidney disease.
Patrícia Pereira NunesCaroline Meneses ResendeEllen Dayanne Barros SilvaDeryc Cleyner Piones BastosMax Luiz Mendes Ramires FilhoMario André Leocadio-MiguelMario PedrazzoliManoel Alves Sobreira-NetoTiago Gomes de AndradeLívia Leite Góes GitaíFlávio TelesPublished in: Chronobiology international (2024)
Changes in circadian rhythms have been observed in patients with chronic kidney disease (CKD), and evidence suggests that these changes can have a negative impact on health. This study aimed to investigate the existence of hemodialysis-induced chronodisruption, the chronotype distribution, and their association with sleep quality and quality of life (QoL). This was a cross-sectional study that enrolled 165 patients (mean age: 51.1 ± 12.5 y, 60.6% male) undergoing hemodialysis from three local units. The following instruments were used: the Morning-Eveningness Questionnaire (MEQ); a modified version of the Munich Chronotype Questionnaire (MCQT) to estimate hemodialysis-induced chronodisruption (HIC); the Kidney Disease QoL Short Form (KDQOL-SF); the Epworth Sleepiness Scale (ESS); the Pittsburgh Sleep Quality Index (PSQI) and the 10-Cognitive Screener (10-CS). HIC was present in 40.6% of CKD patients. Morning chronotype was prevalent in CKD patients (69%) compared to evening-type (17.1%) and significantly different from a paired sample from the general population ( p < 0.001). HIC and chronotype were associated with different domains of QoL but not with sleep quality. This study suggests that there is a HIC and that morning chronotype is associated with CKD patients undergoing hemodialysis, with implications for QoL.
Keyphrases
- end stage renal disease
- chronic kidney disease
- sleep quality
- peritoneal dialysis
- newly diagnosed
- depressive symptoms
- patients undergoing
- ejection fraction
- public health
- healthcare
- high glucose
- prognostic factors
- diabetic rats
- oxidative stress
- patient reported outcomes
- mental health
- cross sectional
- risk assessment
- health information
- psychometric properties