Association between lunar phase and sleep characteristics.

OBJECTIVES: Popular belief holds that the lunar cycle affects human physiology, behavior, and health, including sleep. To date, only a few and conflicting analyses have been published about the association between lunar phases and sleep. Our aim was to analyze the relationship between lunar phases and sleep characteristics. METHODS: In this retrospective, cross-sectional analysis, data from 319 patients who had been referred for sleep study were included. Individuals with apnea-hypopnea index ≥ 15/h were excluded. Socio-demographic parameters were recorded. All participants underwent one-night standard polysomnography. Associations between lunar cycle (new moon, full moon and alternate moon) and sleep parameters were examined in unadjusted and adjusted models. RESULTS: Fifty-seven percent of patients were males. Mean age for men was 45 ± 14 years and 51 ± 12 years for women. In total, 224 persons had their sleep study done during alternate moon, 47 during full moon, and 48 during new moon. Full moon was associated with lower sleep efficiency [median (%) (IQR): new moon 82 (18), full moon 74 (19), alternate moon 82 (15); P < 0.001], less deep sleep [median (%) (IQR): new moon 9 (9), full moon 6 (4), alternate moon 11 (9); P < 0.001], and increased REM latency [median (min) (IQR): new moon 98 (74), full moon 137 (152), alternate moon 97 (76); P < 0.001], even after adjustment for several covariables. CONCLUSION: The results are consistent with a recent report and the widely held belief that sleep characteristics may be associated with the full moon.

Health-related quality of life and clinical outcomes in kidney transplant recipients.

BACKGROUND: Health-related quality of life (HRQoL) is an important outcome measure in patients with chronic kidney disease. It also has been shown repeatedly to predict mortality in various patient populations. In a prospective cohort study, we assessed the association between HRQoL and long-term clinical outcome in kidney transplant recipients. STUDY DESIGN: Prospective prevalent cohort study. SETTING & PARTICIPANTS: We collected sociodemographic parameters, medical and transplant history, and laboratory data at baseline from 879 prevalent kidney transplant recipients (mean age, 49 ± 13 [standard deviation] years; 58% men; and 17% with diabetes mellitus). PREDICTOR: We assessed HRQoL using the KDQoL-SF (Kidney Disease Quality of Life Short Form) questionnaire and assessed depressive symptoms using the Center for Epidemiologic Studies-Depression Scale. OUTCOMES: All-cause mortality and death-censored transplant loss or death with functioning transplant. Cox regression models and semiparametric competing-risks regression analyses were used to measure associations between HRQoL scores and outcomes. RESULTS: Most examined HRQoL domains were associated with clinical outcome in unadjusted models. After adjusting for several important confounders, the 36-Item Short Form Health Survey (SF-36) Physical Composite Score and Physical Functioning and General Health Perception subscale scores remained independently associated with clinical outcomes. Every 10-point increase in SF-36 Physical Composite Score and Physical Functioning and General Health Perception scores was associated with 18% (HR, 0.82; 95% CI, 0.71-0.95), 11% (HR, 0.89; 95% CI, 0.84-0.94), and 7% lower risks of mortality (HR, 0.93; 95% CI, 0.88-1.00), respectively. LIMITATIONS: Single-center study. CONCLUSIONS: We showed that the SF-36 Physical Composite Score and Physical Functioning and General Health Perception KDQoL-SF domain scores are associated independently with increased risk of mortality in kidney transplant patients. Regular assessment of HRQoL may be a useful tool to inform health care providers about the prognosis of kidney transplant recipients. Additional studies are needed to assess whether interventions aimed at improving HRQoL would improve clinical outcomes in this patient population.