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BACKGROUND:In recent years,epidemiological studies have shown that sleep patterns are risk factors for osteoarthritis,but the causal relationship between sleep characteristics and osteoarthritis remains unknown. OBJECTIVE:To investigate the causal relationship between seven sleep phenotypes and osteoarthritis,thereby providing a theoretical foundation for clinical prevention and intervention of osteoarthritis. METHODS:Seven sleep-related features,namely sleep duration,wake-up time,daytime napping,morning/evening preference,snoring,insomnia,and hypersomnia,were selected from published genome-wide association studies.Instrumental variables for these sleep-related features were extracted.Instrumental variables for knee osteoarthritis and hip osteoarthritis were obtained from publicly available genome-wide association studies.Causal relationships between sleep characteristics and outcome risks were evaluated using two-sample and multivariable Mendelian randomization analyses.The inverse variance weighted method was employed as the primary Mendelian randomization approach.Various methods,including weighted median,weighted mode,Mendelian randomization-Egger regression,Mendelian randomization pleiotropy-residual sum and outlier,were utilized to detect and correct for the presence of pleiotropy. RESULTS AND CONCLUSION:The results of the inverse variance-weighted method in the two-sample Mendelian randomization study revealed a detrimental causal association between the duration of sleep and the incidence risk of knee osteoarthritis[odds ratio(OR)=0.621,95%confidence interval(CI):0.470-0.822,P=0.001].Concurrently,insomnia displayed a positive causal connection with hip osteoarthritis risk(OR=2.016,95%CI:1.249-3.254,P=0.005).Sensitivity analysis affirmed the robustness of these causal relationships,and Mendelian randomization-Egger intercept analysis found no evidence of potential horizontal pleiotropy(knee osteoarthritis:P=0.468,hip osteoarthritis:P=0.551).Moreover,the results from the multivariable Mendelian randomization analysis showed that the causal association between insomnia and hip osteoarthritis lacked statistical significance(P=0.715).In contrast,sleep duration exhibited a direct negative causal relationship with the incidence risk of knee osteoarthritis(OR=0.526,95%CI:0.336-0.824,P=0.005).Reverse Mendelian randomization analysis indicated that knee osteoarthritis did not influence sleep duration(P=0.757).These findings indicate a negative correlation between sleep duration and incidence risk of knee osteoarthritis,suggesting that correcting insufficient sleep might mitigate the incidence risk of knee osteoarthritis.
ABSTRACT
Introduction: Maintenance dialysis patients experience a highburden of physical and emotional symptoms that directly affecttheir quality of life and health care utilization. Patient with endstage renal disease (ESRD), 80% of them have reported withcomplaints of subjective sleep abnormalities. Frequent reportshave documented in these patients such as sleep disturbancesmanifestation as insomnia, sleep apnea syndrome, restlessleg syndrome (RLS) periodic limb movement disorders, andexcessive day time sleepiness. Present study focused to findthe quality of sleep and sleep abnormalities in patients withESRD.Material and methods: Patient data were collected usingPittsburgh Sleep Quality Index(PSQI); The demographic andclinic questionnaire contained questions about age, gender,place of residence, dialysis frequency, HD (Haemodialysis)duration. Scoring of seven components answers is based ona 0 to 3 scale which reflects the various states of sleepingdisorders.Results: Study showed that during the earlier stage ofhemodialysis patients may have a high PSQI test score. In theperiod of 3- 12-month patients are facing poor sleep quality;indicating that in the earlier period of treatment patientsmay have taken more stress and conscious to adjust withhemodialysis as a routine treatment procedure for the rest ofthe life. This may instigate to have a high score in PSQI testscore.Conclusion: The current study indicates that RLS, poorquality sleep, and EDS are common in ESRD patients underhemodialysis. Additional studies involving the change ofhemodialysis shift may provide a better understanding ofthe correlation between time duration dialysis and sleepingdisturbances.
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Introducción: El insomnio y la somnolencia presentan elevada prevalencia y causan graves problemas de salud física, mental y social; uno de los principales grupos de riesgo para estos trastornos son los estudiantes de medicina. Objetivo: Determinar la prevalencia de insomnio y somnolencia en estudiantes de una facultad de medicina de Medellín y su asociación con algunas condiciones socio demográficas y académicas. Materiales y métodos: Estudio de prevalencia en 230 estudiantes seleccionados aleatoriamente. Para la tamización de los dos trastornos del sueño se emplearon las escalas Epworth para somnolencia e insomnio. Los análisis se basaron en medidas de resumen, frecuencias, pruebas no paramétricas, prevalencias y razones de prevalencia. Resultados: La edad promedio fue 20 años, la media de créditos matriculados fue 20, el 70 % de la población estaban en el ciclo básico. Se halló prevalencia de tabaquismo del 10 % y consumo de alcohol en el 51 %. La prevalencia global de insomnio fue 93 %, siendo más frecuente en grado leve, éste presentó asociación estadísticamente significativa con la presencia de enfermedades de base y el sexo. La prevalencia de somnolencia fue 73,5 % siendo más común el grado moderado, ésta presentó asociación estadística con el ciclo de formación. Conclusión: La elevada prevalencia de los dos trastornos del sueño hallada en este grupo, pone de manifiesto la necesidad de implementar medidas de prevención primaria y secundaria, dado los impactos negativos que presentan para actividades cotidianas, el rendimiento académico y para la salud física y mental
Objective: To determine the prevalence of insomnia and sleepiness in students froma medical school in Medellin and its association with sociodemographic and academic conditions. Insomnia and sleepiness have high prevalence and they cause serious problems of physical, mental and social health, one of the main groups at risk for these disorders are the medical students. Materials and Methods: Prevalence study in 230students randomly selected. For the screening of the disorders were used the scales of sleepiness and insomnia of Epworth. The analyzes were based on summary measures, frequency, nonparametric tests, prevalence and prevalence ratios. Results:The meanage was 20 years, the average of credits enrolled was 20, 70% of the population wasin the basic cycle. Smoking prevalence was 10% and consumption of alcohol of 51%The overall prevalence of insomnia was 93%, being more common in mild degree,it was presented statistically significant association with the presence of underlying diseases and sex. The prevalence of somnolence was 73.5% being more commonthe moderate grade, it was statistically associated with the training cycle. Conclusion: The high prevalence of both sleep disorders found in this group, highlights the need to implement actions of primary and secondary prevention, due to negatives impacts foreveryday activities, academic performance and physical andmental health.
Subject(s)
Colombia , Medicine , Prevalence , Sleep Initiation and Maintenance Disorders , Sleep Stages , StudentsABSTRACT
Chronic fatigue is a common symptom in primary health care and caused by various organic and functional diseases. Although improvement is attained by controlling underlying organic disease, it is sometimes difficult to relieve fatigue in patients with chronic fatigue syndrome or dysthymia. We have encountered patients with idiopathic chronic fatigue (ICF) successfully treated with sansonintokagen. A 62-year-old female complained of chronic fatigue several years after menopause, and had normal status in routine blood and image analyses at a nearby hospital. Her condition was diagnosed as ICF with sleeplessness. Treatment with sansonintoaogibakumondo for 8 weeks improved her chronic fatigue and sleeplessness, and enabled her to continue housekeeping. This observation suggests that this kampo formula may be a useful agent for ICF.
ABSTRACT
Chronic fatigue is a common symptom in primary health care and caused by various organic and functional diseases. Although improvement is attained by controlling underlying organic disease, it is sometimes difficult to relieve fatigue in patients with chronic fatigue syndrome or dysthymia. We have encountered patients with idiopathic chronic fatigue (ICF) successfully treated with sansonintokagen. A 62-year-old female complained of chronic fatigue several years after menopause, and had normal status in routine blood and image analyses at a nearby hospital. Her condition was diagnosed as ICF with sleeplessness. Treatment with sansonintoaogibakumondo for 8 weeks improved her chronic fatigue and sleeplessness, and enabled her to continue housekeeping. This observation suggests that this kampo formula may be a useful agent for ICF.