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Aims and objectives. To examine the psychometric properties of the Menopausal Symptoms Distress Affecting Sleep Quality Scale. Background. Sleep disturbances are an extensive and common problem among menopausal women. However, no unique and specific scale has yet been developed to detect the inductive symptoms distresses that cause poor sleep quality for menopausal women. Design. A cross-sectional design. Methods. The Menopausal Symptoms Distress Affecting Sleep Quality Scale was based on in-depth interviews with menopausal women and literature review. Convenience sampling was employed. One hundred and fifty three women participated in this study. Exploratory factor analysis, concurrent validity and contrasting group validity were used to examine the validity of the Menopausal Symptoms Distress Affecting Sleep Quality Scale. Cronbach's a was conducted to test the reliability. The accuracy of the scale was analysed with the receiver operating characteristic from MED CALC version 10.4.8.0 software. The scale's sensitivity, specificity, positive and negative predictive value were analysed to locate the best cut-off point. Results. One factor was generated by Exploratory factor analysis, and this factor explained 49-07% of total variance. In addition, the Menopausal Symptoms Distress Affecting Sleep Quality Scale had significant positive correlations with the Greene Climacteric Scale and the self-evaluation of menopausal symptoms scale. Cronbach's a of the Menopausal Symptoms Distress Affecting Sleep Quality Scale was 0-89. Moreover, the diagnostic accuracy probability of the scale's receiver operating characteristic curve was 0-85. The best cut-off point was three with a sensitivity of 76% and a specificity of 87%. Conclusions. The Menopausal Symptoms Distress Affecting Sleep Quality Scale had good reliability and validity, as well as refined indicators for assessing the tool's accuracy. Relevance to clinical Practice. The Menopausal Symptoms Distress Affecting Sleep Quality Scale is easy to use, can quickly detect the sleep conditions of menopausal women who suffer from menopausal symptom distress, and provide efficient nursing interventions to relieve menopausal symptom distresses, and then improve sleep quality. [ABSTRACT FROM AUTHOR]

Aims and objectives The specific aims of this study were as follows: (1) to describe psychosocial adjustment in adults with end-stage renal disease who underwent maintenance peritoneal dialysis; (2) to explore the influence of demographics, clinical variables, symptom distress and social support on psychosocial adjustment and (3) to determine predictive factors of psychosocial adjustment. Background Proper psychosocial adjustment is important for patients with end-stage renal disease to cope with multiple stressors of their disease and to balance their lives within the restrictions imposed by peritoneal dialysis treatment. Knowledge on psychosocial adjustment in patients receiving long-term peritoneal dialysis has been limited. Design The study was based on a predictive correlational design. Method One hundred peritoneal dialysis patients were recruited from outpatient peritoneal dialysis clinics of a general hospital in Taipei, Taiwan. Data were collected with the study questionnaires, including the Physical Symptom Distress Scale, the Social Support Scale and the Psychosocial Adjustment to Illness Scale - self-report. Results The mean score on the Psychosocial Adjustment to Illness Scale was 359·7 ( SD = 40·0), indicating that these participants were moderately struggling in adjusting to their illness. Symptom distress, family social support and financial status explained 38·3% of the variance in psychosocial adjustment ( F3,96 = 21·5, p < 0·001). Conclusions The level of psychosocial adjustment in peritoneal dialysis patients is suboptimal. Overall, the patients with high physical symptom distress, weak family social support and poor financial status reported deficient psychosocial adjustment to their illness. Implications for practice The findings of this study are relevant to the understanding of preconditions that enable peritoneal dialysis patients to successfully adjust to the disease and its diverse consequences. Patients with insufficient income, higher symptom distress and less family social support have a greater risk of psychosocial maladjustment. Medical professionals may use these variables to identify higher risk groups for early intensive intervention. [ABSTRACT FROM AUTHOR]

Aims and objectives: To investigate the distribution and risk factors associated with undiagnosed obstructive sleep apnoea among hypertensive patients. Background: Obstructive sleep Apnoea has been deemed a cardinal risk factor affecting cardiovascular event, and the condition is still frequently overlooked clinically. The lack of advanced diagnosis often causes hypertensive patients with obstructive sleep apnoea to miss opportunities for preventing chronic diseases. Design: A cross‐sectional design. Methods: A total of 215 hypertensive participants were recruited from the cardiovascular outpatients of medical centre in northern and middle Taiwan. The Chinese version of Pittsburgh Sleep Quality Index, the Chinese version of the Epworth Sleep Scale and a portable sleep monitoring device were used for data collection. Logistic regression analysis was conducted to identify the factors affecting hypertensive patients with obstructive sleep apnoea, and a multinomial logistic regression analysis was used to examine the major influence factors for each obstructive sleep apnoea severity level. Results: 81.9% of the hypertensive participants were found having obstructive sleep apnoea. Concerning to the obstructive sleep apnoea severity, 50.0% of participants had mild obstructive sleep apnoea. After controlling the confounding variables, the supine position (odds ratio, 1.04; 95% CI, 1.01–1.07), SO2 (odds ratio, 0.58; 95% CI, 0.38–0.89) and oxygen desaturation index (odds ratio, 2.70; 95% CI, 1.18–6.18) were significantly associated with obstructive sleep apnoea. Furthermore, severe obstructive sleep apnoea was significantly correlated with gender (odds ratio, 0.04; 95% CI, 0.00–0.66), excessive daytime sleepiness (odds ratio, 20.27; 95% CI, 1.58–26.97) and oxygen desaturation index (odds ratio, 4.05; 95% CI, 1.86–8.81). Conclusions: Nearly 82% of the hypertensive participants were found having undiagnosed obstructive sleep apnoea, and 80% of them were mild or moderate severity. Oxygen desaturation index, SO2 and the supine position were found to be major predictors for obstructive sleep apnoea. Remarkably, oxygen desaturation index was the most significant predictor for mild, moderate and severe obstructive sleep apnoea. Relevance to clinical practice: Healthcare providers should enhance their sensitivities to hypertensive patients at a high risk for obstructive sleep apnoea by actively assessing common obstructive sleep apnoea symptoms and providing strategies to alleviate obstructive sleep apnoea symptoms. [ABSTRACT FROM AUTHOR]