Association of self-reported snoring with decreased retinal thickness and vessel density.

Purpose: Self-reported snoring has been reported to influence nerves and vessels. However, there are few direct evidences of snoring related to nerves and microvessels defects. Therefore, we evaluated the association of self-reported snoring with retinal structure and microcirculation. Methods: A total of 2,622 participants were recruited from the Jidong eye cohort study (JECS). Physical examinations, laboratory tests, and questionnaires were recorded. We also used optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) to assess the retinal structure and microvascular network. Snoring was defined as "never," "occasionally," and "frequently or more severe" according to self-reported frequency. Results: The prevalence of snoring were 84.6% (n = 983) and 45.0% (n = 657) in males and females, respectively. Compared with never snoring group, the retinal thickness increased in "occasionally" (p < 0.001) and "frequently or more severe" groups (p = 0.001), while no difference was found between snoring groups (p = 0.14). Superficial retinal capillary plexus (RCP) vessel density was lower in "frequently or more severe" group than in "never" (p < 0.001) and "occasionally" snoring groups (p < 0.001). After adjusting for confounders, "frequently or more severe" snoring was significantly associated with thinner total retinal thickness [ß = -2.79 (95% CI: -5.27, -0.30)] and lower superficial RCP vessel density [ß = -0.71 (95% CI: -1.19, -0.23)]. Conclusion: Our research showed self-reported snoring was associated with thinner retinal thickness and lower superficial RCP vessel density. The findings of our study emphasize the need for self-reported snoring assessments in determining retinal structure and microcirculation impairment.

Integrating domain knowledge with machine learning to detect obstructive sleep apnea: Snore as a significant bio-feature.

Our study's main purpose is to emphasise the significance of medical knowledge of pathophysiology before machine learning. We investigated whether combining domain knowledge with machine learning results might increase accuracy and minimise the number of bio-features used to detect obstructive sleep apnea (OSA). The present study analysed data on 36 self-reported symptoms and 24 clinical features obtained from 3,495 patients receiving polysomnography at a regional hospital and a medical centre. The area under the receiver operating characteristic (AUC) curve was used to evaluate patients with and without moderate or severe OSA using three prediction models on the basis of various estimation methods: the multiple logistic regression (MLR), support vector machine (SVM), and neural network (NN) methods. Odds ratios stratified by gender and age were also measured to account for clinicians' common sense. We discovered that adding the self-reported snoring item improved the AUC by 0.01-0.10 and helped us to rapidly achieve the optimum level. The performance of four items (gender, age, body mass index [BMI], and snoring) was comparable with that of adding two or more items (neck and waist circumference) for predicting moderate to severe OSA (Apnea-Hypopnea Index ≥15 events/hr) in all three prediction models, demonstrating the medical knowledge value of pathophysiology. The four-item test sample AUCs were 0.83, 0.84, and 0.83 for MLR, SVM, and NN, respectively. Participants with regular snoring and a BMI of ≥25 kg/m2 had a greater chance of moderate to severe OSA according to the stratified adjusted odds ratios. Combining domain knowledge into machine learning could increase efficiency and enable primary care physicians to refer for an OSA diagnosis earlier.

Association between self-reported snoring and hypertension among Chinese Han population aged 30-79 in Chongqing, China.

BACKGROUND: We aim to explore the association between self-reported snoring and hypertension among adults aged 30-79 in Chongqing, China. METHODS: A total of 23,342 individuals aged 30-79 were included at baseline from August 2018 to January 2019, and the final sample size for the analysis was 22,423. Face-to-face interviews and physical examinations were conducted by trained investigators. Logistic regression was performed to study age-specific and gender-specific associations between snoring and hypertension. RESULTS: Frequent snoring was associated with the risk of hypertension for each age and gender group, and the frequency of snoring was positively correlated with the risk for hypertension. For the three age groups (< 45, 45-59, ≥ 60), compared with the non-snoring group, those who snore often had a 64.5%, 53.3%, and 24.5% increased risk of hypertension (< 45: OR = 1.65, 95%CI 1.34-2.02; 45-59: OR = 1.53, 95%CI 1.37-1.72; ≥ 60: OR = 1.25, 95%CI 1.09-1.42), respectively. For men and women, those who snore often had a 46.8% and 97.2% increased risk of hypertension, respectively, than the non-snoring group (men: OR = 1.47, 95%CI 1.33-1.63; women: OR = 1.97, 95%CI 1.75-2.23). CONCLUSIONS: People who snore frequently should pay close attention to their blood pressure levels in order to achieve early prevention of hypertension, particularly for snorers who are female and aged under 45; importance should be attached to their blood pressure control.

Association between self-reported snoring and hypertension among Chinese Han population aged 30-79 in Chongqing, China

BACKGROUND@#We aim to explore the association between self-reported snoring and hypertension among adults aged 30-79 in Chongqing, China.@*METHODS@#A total of 23,342 individuals aged 30-79 were included at baseline from August 2018 to January 2019, and the final sample size for the analysis was 22,423. Face-to-face interviews and physical examinations were conducted by trained investigators. Logistic regression was performed to study age-specific and gender-specific associations between snoring and hypertension.@*RESULTS@#Frequent snoring was associated with the risk of hypertension for each age and gender group, and the frequency of snoring was positively correlated with the risk for hypertension. For the three age groups (< 45, 45-59, ≥ 60), compared with the non-snoring group, those who snore often had a 64.5%, 53.3%, and 24.5% increased risk of hypertension (< 45: OR = 1.65, 95%CI 1.34-2.02; 45-59: OR = 1.53, 95%CI 1.37-1.72; ≥ 60: OR = 1.25, 95%CI 1.09-1.42), respectively. For men and women, those who snore often had a 46.8% and 97.2% increased risk of hypertension, respectively, than the non-snoring group (men: OR = 1.47, 95%CI 1.33-1.63; women: OR = 1.97, 95%CI 1.75-2.23).@*CONCLUSIONS@#People who snore frequently should pay close attention to their blood pressure levels in order to achieve early prevention of hypertension, particularly for snorers who are female and aged under 45; importance should be attached to their blood pressure control.

Sex-specific association between serum uric acid and self-reported snoring in rural China: a cross-sectional study.

PURPOSE: Until now, information has been rare on the association of serum uric acid (SUA) with self-reported snoring. Therefore, the purpose of this study was to explore the sex-specific relationship between SUA and self-reported snoring in a general Chinese population. METHODS: A large cross-sectional study of 10,912 participants aged ≥35 years old were recruited from rural areas of Liaoning Province in China during 2012 to 2013. SUA were divided into quartiles separated for males and females. Anthropometric measurements and blood biochemical indexes were examined according to standard protocols. Sleep duration and self-reported snoring status were investigated by trained personnel using a structured questionnaire. RESULTS: The prevalence of self-reported snoring was 37.9% (n = 2197) among females and 47.4% (n = 2420) among males, respectively. The proportion of self-reported snoring presented a significant linear increase across the quartile of SUA level in both sexes. In multivariate logistic regression analysis adjusted for possible confounders, the odds ratio (OR) for SUA with regard to self-reported snoring was significantly higher in females. The OR of self-reported snoring associated with per 1 SD increase in SUA was 1.208 (95%CI 1.118-1.305, P<0.001). The highest quartile of SUA (>293 µmol/L) conferred an independently increased risk for self-reported snoring with OR of 1.643 (95%CI 1.384-1.950, p < 0.001) compared to the lowest quartile of SUA (<209 µmol/L). However, there were no significant relationships between SUA and self-reported snoring among males in all the models. CONCLUSIONS: Our study showed that in rural China, SUA was positively correlated with an increased risk for self-reported snoring in females but not in males. The strong association of SUA levels with self-reported snoring in females emphasizes the necessity of stratifying the sex in investigations of self-reported snoring and encourages exploration of SUA as an effective clinical tool of self-reported snoring risk.

Self-Reported Snoring Is Associated with Dyslipidemia, High Total Cholesterol, and High Low-Density Lipoprotein Cholesterol in Obesity: A Cross-Sectional Study from a Rural Area of China.

Studies to explore the relationship between self-reported snoring and dyslipidemia, especially high total cholesterol (TC) and high low-density lipoprotein cholesterol (LDL-C), in the general population are still lacking. Our study was designed to examine whether self-reported snoring is significantly associated with dyslipidemia and ascertain the effects of different snoring intensities on dyslipidemia. There were 10,139 participants in our study. After adjustment for all confounding factors, self-reported snoring (OR = 1.207; p = 0.003), moderate (OR = 1.229; p = 0.015), strong (OR = 1.222; p = 0.033), and very strong (OR = 1.467; p = 0.012) snoring intensity, but not low (OR = 1.110; p = 0.224) snoring intensity, were significantly associated with dyslipidemia among adults with BMI (body mass index) ≥ 25 kg/m². In addition, self-reported snoring was significantly associated with high TC (OR = 1.167; p = 0.048) and high LDL-C (OR = 1.228; p = 0.044), rather than low HDL-C (OR = 1.171; p = 0.057) and high triglyceride (TG) (OR = 1.110; p = 0.141). In conclusion, adults with BMI ≥ 25 kg/m² and who experience snoring, especially moderate, strong, and very strong intensity levels of snoring, should be on the alert regarding the possibility of dyslipidemia, especially high LDL-C and high TC.