Background and objectiveThe association between sleep-related disorders and cardiovascular diseases (CVDs) remains controversial and lacks epidemiological evidence in the general population. We investigated whether sleep-related disorders are related to CVDs in a large, nationally representative, diverse sample of American adults.Materials and methodsData were collected from the National Health and Nutrition Examination Survey (NHANES) 2005–2008. Logistic regression was performed to explore associations of sleep-related disorders with the prevalence of total and specific CVDs. Stratified subgroup analysis was performed to exclude interactions between variables and sleep-related disorders. Non-linearity was explored using restricted cubic splines.ResultsIn total, 7,850 participants aged over 20 years were included. After controlling for confounders, multivariate regression analysis showed that sleep problems were associated increases in risk of 75% for CVD (OR: 1.75; 95% CI 1.41, 2.16), 128% for congestive heart failure (CHF) (OR: 2.28; 95% CI 1.69, 3.09), 44% for coronary heart disease (CHD) (OR: 1.44; 95% CI 1.12, 1.85), 96% for angina pectoris (AP) (OR: 1.96; 95% CI 1.40, 2.74), 105% for heart attack (OR: 2.05; 95% CI 1.67, 2.53) and 78% for stroke (OR: 1.78; 95% CI 1.32, 2.40). Daytime sleepiness was associated increases in risk of 54% for CVD (OR: 1.54; 95% CI 1.25, 1.89), 73% for CHF (OR: 1.73; 95% CI 1.22, 2.46), 53% for AP (OR: 1.53; 95% CI 1.12, 2.10), 51% for heart attack (OR: 1.51; 95% CI 1.18, 1.95), and 60% for stroke (OR: 1.60; 95% CI 1.09, 2.36). Participants with insufficient sleep had a 1.42-fold higher likelihood of CVD (OR: 1.42; 95% CI 1.13, 1.78) and a 1.59-fold higher likelihood of heart attack (OR: 1.59; 95% CI 1.19, 2.13) than participants with adequate sleep. Prolonged sleep-onset latency was associated with an increased risk of CVD (OR: 1.59; 95% CI 1.17, 2.15), CHF (OR: 2.08; 95% CI 1.33, 3.23) and heart attack (OR: 1.76; 95% CI 1.29, 2.41). Short sleep-onset latency was associated with a 36% reduction in stroke risk (OR: 0.64; 95% CI 0.45, 0.90). The association of sleep problems with CVD risk was more pronounced in the group younger than 60 years (p for interaction = 0.019), and the relationship between short sleep-onset latency and total CVD differed by sex (p for interaction = 0.049). Additionally, restricted cubic splines confirmed a linear relationship between sleep-onset latency time and CVD (p for non-linearity = 0.839) and a non-linear relationship between sleep duration and CVD (p for non-linearity <0.001).ConclusionAccording to a limited NHANES sample used to examine sleep-related disorders and CVD, total and specific CVDs could be associated with certain sleep-related disorders. Additionally, our study uniquely indicates that CVD risk should be considered in participants younger than 60 years with sleep problems, and shortened sleep-onset latency may be a CVD protective factor in females.

Background Whether there is a connection between sexual dysfunction (SD) and prostate cancer (PCa) is controversial. Aim We sought to review the interrelationship between SD and PCa and to determine whether there is a definitive risk of men developing PCa after suffering from SD. Methods A complete search of the PubMed, Web of Science, Ovid MEDLINE, Embase, and Cochrane Library databases was performed to search for eligible studies published up to October 2022. The protocol for this meta-analysis is available from PROSPERO (ID: CRD42022342381). Outcomes The associations between SD and the risk of PCa were assessed by calculating pooled ORs with 95% CIs, and the standard mean difference (SMD) and its 95% CI were used to assess the relationship between SD and prostate-specific antigen (PSA) levels or prostate volume (PV). Random-effects models were used to account for potential heterogeneity, and the Newcastle–Ottawa Scale (NOS) was used to evaluate the quality of the included studies. Results Twenty studies involving 215,626 individuals were included in our meta-analysis. Compared with controls, subjects with SD had a 1.62-fold increased risk of PCa (OR = 1.62, 95% CI, 1.77-2.23, P = .003; heterogeneity: I2 = 97.8%, P < .001). Patients with SD had higher PSA levels than controls (SMD =0.07, 95% CI, 0.00 to 0.13, P = .041; heterogeneity: I2 = 55.6%, P = .027). However, there was no association between SD and PV (SMD = 0.03, 95% CI, −0.05 to 0.11, P = .122; heterogeneity: I2 = 48.5%, P = .100). Clinical Implications Current evidence confirms a potential link between SD and the risk of PCa and that SD in PCa patients should be of concern to clinicians. Strengths and Limitations The strength of this study is that it is to our knowledge the first meta-analysis of studies on the risk of PCa in men with SD. A limitation is that most of the studies included in this meta-analysis focused on ED. Conclusion Our systematic review and meta-analysis results suggest that men with SD have a higher risk of PCa and higher PSA levels than men without SD. However, this is merely inferential, and causality cannot be determined based on the current data. Further longitudinal studies should be performed to validate our preliminary findings.

Background The associations between sexual dysfunction (SD) and sleep disorders, sleep quality, and sleep duration remain unclear. Aim To assess the relationship between sleep and SD through a literature review and meta-analysis. Methods The PubMed, Scopus, Embase, Ovid MEDLINE, and Cochrane Library databases were systematically searched from inception to November 10, 2022. Outcomes Pooled relative risks and 95% CIs were used to examine the association of sleep disorders with SD in longitudinal studies. Pooled odds ratios (ORs) and 95% CIs were used to examine the associations between SD and sleep disorders, sleep quality, and sleep duration in cross-sectional studies. Results Forty-three articles, including 11 longitudinal studies and 32 cross-sectional studies, were included in the quantitative analysis. The pooled relative risk of SD in patients with sleep disorders was 1.97 in longitudinal studies (95% CI, 1.46-2.67, P < .001; heterogeneity: I2 = 95.0%, P < .001), while the pooled OR of SD in patients with sleep disorders was 2.05 in cross-sectional studies (95% CI, 1.76-2.39, P < .001; heterogeneity: I2 = 91.4%, P < .001). When compared with controls, subjects with poor sleep quality had a 1.49-fold increased risk of SD (OR, 1.49; 95% CI, 1.31-1.71, P < .001; heterogeneity: I2 = 73.4%, P < .001). In addition, short sleep duration was associated with the risk of SD (OR, 1.14; 95% CI, 1.06-1.22, P < .001; heterogeneity: I2 = 0.0%, P = .849). Clinical Implications The risk of SD is significantly increased in patients with sleep disorders and poor sleep quality, indicating that clinicians should monitor sleep among patients with SD. Strengths and Limitations This study is the most comprehensive meta-analysis of the association between sleep and SD to date. However, different sleep disorders may have varying associations with sleep duration and sleep quality; thus, we could not identify the independent effects across the studies. Conclusion Our systematic review and meta-analysis results suggest that sleep disorders, especially obstructive sleep apnea, increase the risk of SD in men and women. Poor sleep quality is significantly associated with SD. Short sleep duration is associated with an increased risk of SD.