Association of adiposity with risk of obstructive sleep apnea: a population-based study.

BACKGROUND: Obesity is a crucial risk factor for obstructive sleep apnea (OSA), but the association between adiposity deposition and OSA risk has not reached a consistent conclusion. This study sought to reveal the association of multiple adiposity indicators with OSA risk. METHODS: This cross-sectional study included 9,733 participants aged 35-74 years, recruited from an ongoing population-based cohort. OSA was assessed by the Berlin Questionnaire. Six adiposity indicators, including neck circumference (NC), body fat percentage (BF%), waist-to-hip ratio (WHR), visceral adiposity index (VAI), lipid accumulation product (LAP), and resting metabolic rate (RMR), were selected. Multivariate logistic regression models were used to examine the association of adiposity indicators with OSA risk. RESULTS: One thousand six hundred twenty-six participants (16.71%) were classified into the OSA group. NC, BF%, WHR, VAI, LAP, and RMR were all positively associated with the risk of OSA after adjusting for confounders, regardless of age, sex, and history of dyslipidemia. Every 1-unit increment of NC, BF%, and VAI was associated with a 13%, 9%, and 14% increased risk of OSA, respectively; every 0.01-unit increment of WHR was associated with a 3% increased risk of OSA; every 10-unit increment of LAP and RMR was associated with 2% and 4% increased risk of OSA, respectively. CONCLUSIONS: NC, BF%, WHR, VAI, LAP, and RMR were all independently and positively associated with OSA risk, regardless of age, sex, history of dyslipidemia, and menopausal status. Application of these new indicators could help to more comprehensively reflect and predict the risk of OSA in the general population.

Pulse rate variability predicted cardiovascular disease in sleep disordered breathing: The Guangdong sleep health study.

OBJECTIVES: Pulse rate variability (PRV) predicts stroke in patients with sleep disordered breathing (SDB). However, the relationship between PRV and cardiovascular disease (CVD) was unknown in SDB. METHODS: This was a cross-sectional study. Community residents in Guangdong were investigated. Sleep study were conducted with a type Ⅳ sleep monitoring. PRV parameters was assessed from the pulse waveforms derived from the sleep monitoring. RESULTS: 3747 participants were enrolled. The mean age was 53.9 ± 12.7 years. 1149 (30.7%) were diagnosed as SDB. PRV parameters, except for the averages of pulse-to-pulse intervals (ANN), were higher in participants with SDB than those without. After adjusting for traditional CVD risk factors, deceleration capacity of rate (DC), ANN, and the percentage of pulse-to-pulse interval differences that were more than 50 ms (PNN50) were correlated with CVD risk in participants with SDB (OR were 0.826, 1.002, and 1.285; P were 0.003, 0.009, and 0.010), but not in participants without SDB. There was no interaction effect between DC, ANN, PNN50 and oxygen desaturation index. In hierarchical analysis, DC and ANN were predictors for CVD in SDB patients with age <60 years, male, overweight, diabetes, and normal lipid metabolism. PNN50 was predictor for CVD in the elderly SDB patients without overweight, diabetes or dyslipidemia. CONCLUSIONS: PRV parameters may be specific predictors for CVD in SDB. PNN50 was a potent biomarker for CVD risk in the elderly with SDB, event without traditional CVD risk factors.

Short-term effects of individual exposure to PM2.5 on hospital admissions for myocardial infarction and stroke: a population-based case-crossover study in Guangzhou, China.

Some studies have investigated the effects of PM2.5 on cardiovascular diseases based on the population-average exposure data from several monitoring stations. No one has explored the short-term effect of PM2.5 on cardiovascular hospitalizations using individual-level exposure data. We assessed the short-term effects of individual exposure to PM2.5 on hospitalizations for myocardial infarction (MI) and stroke in Guangzhou, China, during 2014-2019. The population-based data on cardio-cerebrovascular events were provided by Guangzhou Center for Disease Control and Prevention. Average annual percent changes (AAPCs) were used to describe trends in the hospitalization rates of MI and stroke. The conditional logistic regression model with a time-stratified case-crossover design was applied to estimate the effects of satellite-retrieved PM2.5 with 1-km resolution as individual-level exposure. Furthermore, we performed stratified analyses by demographic characteristics and season. There were 28,346 cases of MI, 188,611, and 36,850 cases of ischemic stroke (IS) and hemorrhagic stroke (HS), respectively, with an annual average hospitalization rate of 37.2, 247, and 48.4 per 100,000 people. Over the six-year study period, significant increasing trends in the hospitalization rates were observed with AAPCs of 12.3% (95% confidence interval [CI]: 7.24%, 17.6%), 13.1% (95% CI: 9.54%, 16.7%), and 9.57% (95% CI: 6.27%, 13.0%) for MI, IS, and HS, respectively. A 10 µg/m3 increase in PM2.5 was associated with an increase of 1.15% (95% CI: 0.308%, 1.99%) in MI hospitalization and 1.29% (95% CI: 0.882%, 1.70%) in IS hospitalization. A PM2.5-associated reduction of 1.17% (95% CI: 0.298%, 2.03%) was found for HS hospitalization. The impact of PM2.5 was greater in males than in females for MI hospitalization, and greater effects were observed in the elderly (≥ 65 years) and in cold seasons for IS hospitalization. Our study added important evidence on the adverse effect of PM2.5 based on satellite-retrieved individual-level exposure data.

Submicron particle exposure and stroke hospitalization: An individual-level case-crossover study in Guangzhou, China, 2014-2018.

BACKGROUND: Short-term exposure to ambient PM2.5 and PM10 (particulate matter with aerodynamic diameters ≤2.5 µm and 10 µm, respectively) has been linked with hospitalization and mortality from stroke. However, the effect of PM1 (≤1 µm) exposure on the risk of hospitalization from stroke and its subtypes has rarely been investigated, in particular, on the basis of fine-scale exposure assessment at the individual level. METHODS: We collected data on hospital admissions due to stroke and its subtypes in Guangzhou, China from January 1, 2014 to December 31, 2018. Daily exposures to PM1, PM2.5, and PM10 were assessed from satellite-derived estimates at a 1-km2 spatial resolution based on residential addresses. A time-stratified case-crossover analysis combined with a conditional logistic regression model was performed to examine the associations of stroke hospitalization risks with short-term exposure to size-fractional particles. We conducted stratified analyses by sex, age, season, and ambient temperature. RESULTS: A total of 178,586 stroke hospitalizations were recorded during the study period, among which 141,709 cases were ischemic stroke and 25,255 cases were hemorrhagic stroke. The mean concentrations on the day of hospitalization were 20.0 µg/m3 (control days: 19.9 µg/m3) for PM1, 37.6 µg/m3 (37.4 µg/m3) for PM2.5, and 59.3 µg/m3 (59.0 µg/m3) for PM10. Short-term exposure to size-fractional particles was significantly associated with increased risks of hospital admission for overall stroke and ischemic stroke, whereas null or negative associations were observed for hemorrhagic stroke. Compared with PM2.5 and PM10, PM1 was associated with greater excess risks of stroke hospitalizations. For each 10-µg/m3 increase in PM1, PM2.5, and PM10 exposure at lag 03-day, the odds ratios were 1.016 (95% confidence interval: 1.008, 1.024), 1.007 (1.003, 1.011), and 1.007 (1.004, 1.010) for overall stroke hospitalization, and were 1.023 (1.014, 1.033), 1.010 (1.005, 1.014), and 1.009 (1.006, 1.013) for ischemic stroke, respectively. These associations were robust to co-pollutant adjustments and did not vary by sex and age, while significantly elevated risks were identified in cold months (October to March of the next year) and low-temperature days (<23.8 °C) only. CONCLUSIONS: Short-term exposure to particulate matter air pollution, particularly PM1, was associated with increased risks of hospitalization for overall stroke and ischemic stroke.

Association between glycolipids and risk of obstructive sleep apnea: A population-based study.

Background: This study aimed to investigate the associations between multiple glycolipid biomarkers and the risk of obstructive sleep apnea (OSA). Methods: Participants (10,286) aged from 35 to 74 years old were included in this cross-sectional study from the baseline survey of the Guangzhou Heart Study. OSA was ascertained using both Berlin Questionnaire and STOP-BANG Questionnaire. Fasting blood samples were collected from each participant; fasting blood glucose (FBG) and serum concentrations of high-density lipoprotein cholesterol (HDL-CH), low-density lipoprotein cholesterol (LDL-CH), total cholesterol (TC), and triglyceride (TG) were determined. Odds ratio (OR) with 95% confidence interval (CI) was calculated using the multivariate logistic regression model after adjustment for covariates. Results: Of the participants included, 15.56% were categorized into the pre-OSA group, and 8.22% into the OSA group. When comparing the highest with the lowest quartiles, HDL-HC was associated with a 22% (OR: 0.78, 95% CI: 0.65-0.94) and 41% (OR: 0.59, 95% CI: 0.45-0.78) reduced risk of pre-OSA and OSA, triglyceride was associated with a 32% (OR 1.32, 95% CI 1.08-1.60) and a 56% (OR 1.56, 95% CI 1.18-2.07) increased risk of pre-OSA and OSA, and FBG was associated with a 1.37-fold (95% CI 1.13-1.67) risk of pre-OSA and 1.38-fold (95% CI 1.03-1.85) risk of OSA. A significant exposure-response trend was observed for HDL-HC, TG, and FBG with both OSA and Pre-OSA (all p < 0.05). No significant association of LDL-CH and TC with the risk of both pre-OSA and OSA was observed. Conclusion: The findings suggest that serum HDL-CH was inversely associated with OSA risk, while elevated serum TG and FBG could increase the risk of OSA. Healthy glycolipid metabolism warrants more attention in the field of OSA prevention.

Novel lipid indicators and the risk of type 2 diabetes mellitus among Chinese hypertensive patients: findings from the Guangzhou Heart Study.

BACKGROUND: Data are limited on whether several easily measured indices are independent predictors of type 2 diabetes mellitus (T2DM) in hypertensive patients. This study aimed to assess the association of hypertriglyceridemic-waist phenotype, triglyceride glucose (TyG) index, lipid accumulation product (LAP), and visceral adiposity index (VAI) with T2DM risk in hypertensive patients. METHODS: This cross-sectional study included 5321 hypertensive patients from the baseline survey of the Guangzhou Heart Study. Face-to-face questionnaire survey, physical examination, and fasting blood sample collection were completed for all subjects. Odds ratio (OR) with 95% confidence interval (95% CI) were calculated by using the logistic regression model. The potential nonlinear relationship was examined using restricted cubic spline regression. RESULTS: The prevalence of T2DM was 19.98% among hypertensive patients. After adjusting for confounders, participants with elevated triglyceride levels and enlarged waist circumference (HTGW) were associated with a 2.57-fold risk of T2DM (OR 2.57, 95% CI 2.05, 3.23). When comparing with subjects within the lowest quartile of the indices, those in the highest quartile of TyG, LAP, and VAI were associated with 5.35-fold (95% CI 4.33, 6.64), 2.65-fold (95% CI 2.11, 3.34), and 2.17-fold (95% CI 1.77, 2.67) risk of T2DM after adjusting for confounders. Every 1-unit increment of TyG, LAP, and VAI was associated with 81%, 38%, and 31% increased risk of T2DM, respectively. The nonlinear association was observed for TyG, LAP, and VAI (all P Non-linear < 0.001). CONCLUSIONS: The results found that among hypertensive patients, HTGW and a higher level of TyG, LAP, and VAI were associated with an elevated risk of T2DM. The findings suggested that HTGW, TyG, LAP, and VAI may serve as simple and effective tools for T2DM risk assessment in the prevention and management of main chronic diseases.

Association of healthy lifestyles on the risk of hypertension, type 2 diabetes mellitus, and their comorbidity among subjects with dyslipidemia.

Background: Adherence to a healthy lifestyle could reduce the risk of hypertension and diabetes in general populations; however, whether the associations exist in subjects with dyslipidemia remains unclear. This study aimed to investigate the integrated effect of lifestyle factors on the risk of hypertension, type 2 diabetes mellitus (T2DM), and their comorbidity among subjects with dyslipidemia. Methods: In total of 9,339 subjects with dyslipidemia were recruited from the baseline survey of the Guangzhou Heart Study. A questionnaire survey and medical examination were performed. The healthy lifestyle score (HLS) was derived from five factors: smoking, alcohol drinking, diet, body mass index, and leisure-time physical activity. Odds ratios (ORs) with 95% confidence interval (95% CI) were calculated by using the logistic regression model and the multinomial logistic regression after adjusting for confounders. Results: The prevalence of hypertension, T2DM, and their comorbidity was 47.65, 16.02, and 10.10%, respectively. Subjects with a higher HLS were associated with a lower risk of hypertension, T2DM, and their comorbidity. In comparison to the subjects with 0-2 HLS, the adjusted ORs for subjects with five HLS was 0.48 (95% CI: 0.40-0.57) and 0.67 (95% CI: 0.54-0.84) for hypertension and T2DM. Compared with subjects with 0-2 HLS and neither hypertension nor T2DM, those with five HLS had a lower risk of suffering from only one disease (OR: 0.48, 95% CI: 0.40-0.57) and their comorbidity (OR: 0.35, 95% CI: 0.26-0.47). Conclusions: The results suggest that the more kinds of healthy lifestyle, the lower the risk of hypertension, T2DM, and their comorbidity among subjects with dyslipidemia. Preventive strategies incorporating lifestyle factors may provide a more feasible approach for the prevention of main chronic diseases.

Circulating sex hormones and risk of atrial fibrillation: A systematic review and meta-analysis.

Background: Sex hormones are associated with many cardiovascular risk factors, but their effects on atrial fibrillation (AF) incidence remain unclear. This systematic review and meta-analysis aimed to evaluate the association of circulating sex hormones with AF risk by pooling available data from observational studies. Methods: A systematic literature search for pertinent articles with case-control and cohort designs was conducted via five databases up to 7 July 2021. A meta-analysis with six cohort studies was conducted separately on men and women. Adjusted relative risk (RR) with a 95% confidence interval (CI) was derived by comparing the highest with the lowest levels of a specific sex hormone and by using a random-effect or fixed-effect model. Heterogeneity was tested using the I 2 statistic and the Q-test. Results: A total of six cohort studies and four case-control studies were included. In a meta-analysis of cohort studies, dehydroepiandrosterone sulfate (DHEAS) was associated with a decreased risk of AF in men (RR: 0.729, 95% CI: 0.559-0.952, I 2 = 50.0%, P -heterogeneity = 0.157) after combining results from two cohort studies; total testosterone was not associated with any risk of AF in men and postmenopausal women, and AF risk was not associated with estradiol in men after synthesizing available studies. Conclusion: This study indicates that a higher endogenous DHEAS level was associated with a lower AF risk in men, whereas total testosterone and estradiol were not associated with AF risk. Longitudinal studies with multiple monitoring are needed to further promulgate the relationship between various circulating sex hormones and AF risk.

Effect of healthy lifestyle index and lifestyle patterns on the risk of mortality: A community-based cohort study.

Background: Limited evidence was available on the association of the integrated effect of multidimensional lifestyle factors with mortality among Chinese populations. This cohort study was to examine the effect of combined lifestyle factors on the risk of mortality by highlighting the number of healthy lifestyles and their overall effects. Methods: A total of 11,395 participants from the Guangzhou Heart Study (GZHS) were followed up until 1 January 2020. Individual causes of death were obtained from the platform of the National Death Registry of China. The healthy lifestyle index (HLI) was established from seven dimensions of lifestyle, and lifestyle patterns were extracted from eight dimensions of lifestyle using principal component analysis (PCA). Hazard ratios (HRs) and 95% confidence intervals (95% CIs) were estimated using the Cox proportional hazard regression model. Results: During 35,837 person-years of follow-up, 184 deaths (1.61%) were observed, including 64 from cardiovascular disease. After adjustment for confounders, HLI was associated with a 50% (HR: 0.50, 95% CI: 0.25-0.99) reduced risk of all-cause mortality when comparing the high (6-7 lifestyle factors) with low (0-2 lifestyle factors) categories. Three lifestyle patterns were defined and labeled as pattern I, II, and III. Lifestyle pattern II with higher factor loadings of non-smoking and low-level alcohol drinking was associated with a decreased risk of all-cause mortality (HR: 0.63, 95% CI: 0.43-0.92, P -trend = 0.023) when comparing the high with low tertiles of pattern score, after adjustment for confounders. Every 1-unit increment of pattern II score was associated with a decreased risk (HR: 0.97, 95% CI: 0.95-0.99) of all-cause mortality. The other two patterns were not associated with all-cause mortality, and the association of cardiovascular mortality risk was observed with neither HLI nor any lifestyle pattern. Conclusion: The results suggest that the more dimensions of the healthy lifestyle the lower the risk of death, and adherence to the lifestyle pattern characterized with heavier loading of non-smoking and low-level alcohol drinking reduces the risk of all-cause mortality. The findings highlight the need to consider multi-dimensional lifestyles rather than one when developing health promotion strategies.

Association of Habitual Physical Activity With the Risk of All-Cause Mortality Among Chinese Adults: A Prospective Cohort Study.

Objective: This study was conducted to evaluate the association of the risk of all-cause mortality with habitual physical activity (HPA) and its different domains among Chinese adults. Methods: A total of 11,994 participants from the Guangzhou Heart Study were followed up until 1 January 2020. Information on HPA, including leisure-time physical activity (LTPA) and commute activity, was collected using a modified Global Physical Activity Questionnaire. Individual cause of death was obtained from the National Death Registry of China. Cox proportional hazards regression model was used to estimate hazard ratio (HR) and 95% confidence interval (CI) after adjustment for covariates. Results: During 37,715 person-years of follow-up, 208 deaths (1.73%) were observed. When compared with the highest with the lowest exposure tertiles, HPA and LTPA were associated with 34% (HR: 0.66, 95% CI: 0.46-0.95) and 30% (HR: 0.70, 95% CI: 0.49-0.99) reduced risk of all-cause mortality after adjustment for covariates. Commute activity was not associated with mortality risk. For the specific component of LTPA, we found that every 1 MET-h/week increment of the housework was associated with a 1% (HR: 0.99, 95% CI: 0.98-0.99) decreased mortality risk, and performing brisk walking/health exercises/Yangko was associated with a 46% reduced mortality risk (HR: 0.54, 95% CI: 0.29-0.99). Conclusion: This study suggests that a higher level of HPA and LTPA was associated with a lower risk of all-cause mortality. Our findings suggest people to perform HPA, especially LTPA, as a strategy for mortality reduction and health promotion.

Effect of Integrated Care on Patients With Atrial Fibrillation: A Systematic Review of Randomized Controlled Trials.

Aims: The integrated management was evidenced to improve the hospitalization and its associated complications in patients with atrial fibrillation (AF), but the strategies of integrated care varied and results were inconsistent. This systematic review and meta-analysis aimed to evaluate the effect of integrated care on AF-related outcomes with comparison with usual care. Methods: PubMed, Embase, and Web of Science were searched for articles published until 10th January 2022. Eligible studies were randomized controlled trials to study the effect of integrated care on AF-related outcomes. Meta-analysis with a random-effect model was used to calculate risk ratio (RR) and 95% confidence interval (CI) by comparing the integrated care with usual care. Results: A total of five studies with 6,486 AF patients were selected. By synthesizing available data, integrated care effectively reduced the risk of all-cause mortality (RR = 0.54, 95% CI = 0.42-0.69), cardiovascular hospitalization (RR = 0.72, 95% CI = 0.55-0.94), and cardiovascular mortality (RR = 0.52, 95% CI = 0.36-0.78) when compared with usual care; however, there was no superior effect on preventing AF-related hospitalization (RR = 0.86, 95% CI = 0.72-1.02), cerebrovascular events (RR = 1.13, 95% CI = 0.75-1.70), and major bleeding (RR = 1.29, 95% CI = 0.86-1.94) when comparing integrated care with usual care. Conclusion: Integrated care can reduce the risk of all-cause mortality, cardiovascular mortality, and cardiovascular hospitalizations in AF patients compared with usual care, while the benefit was not observed in other outcomes.

Prevalence of congenital heart disease among school children in Qinghai Province.

OBJECTIVES: This study aimed to investigate the prevalence of congenital heart disease (CHD) among school children in Qinghai province, a high-altitude region in China. METHODS: A cross-sectional study was conducted among school-aged children in 2019. All subjects completed a survey with a structure questionnaire and underwent CHD screening. CHD was screened by standard physical examination and further confirmed by echocardiography. Multivariate logistic regression were used to estimate the association of CHD prevalence with gender, nationality, and altitude. RESULTS: A total of 43,562 children aged 3-19 years participated in the study. The mean (SD) age was 11.2 (3.3) years. 49.7% were boys, and 80.0% were of Tibetan. CHD was identified in 293 children, with an overall prevalence of 6.73 ‰. Among them, 239 were unrecognized CHD, yielding a prevalence of 5.49 ‰. Atrial septal defect accounted for 51.9% of the CHD, followed by patent ductus arteriosus (31.1%), ventricular septal defect (9.9%). The CHD prevalence was significantly higher in female (8 ‰), Han race (18 ‰), children lived in Qumalai county (13 ‰), and children lived in a higher altitude (13 ‰). Female had greater prevalence of total CHD, atrial septal defect, and patent ductus arteriosus, but insignificant difference was observed in ventricular septal defect prvalence than male. In multivariable logistic regression analyses, female (OR, 1.48; 95% CI, 1.17-1.87, P = 0.001), Han population (OR, 3.28; 95% CI, 1.67-6.42, P = 0.001), and higher altitudes (OR, 2.28; 95% CI, 1.74-3.00, P < 0.001) were shown to be independently association with CHD prevalence. CONCLUSIONS: The prevalence of CHD in Qinghai province was 6.73 ‰. Altitude elevation, female, and Han population were independently association with CHD prevalence.

Associations of Depression, Anxiety, and Life Events With the Risk of Obstructive Sleep Apnea Evaluated by Berlin Questionnaire.

Background: Psychological problems are prevalent in the general population, and their impacts on sleep health deserve more attention. This study was to examine the associations of OSA risk with depression, anxiety, and life events in a Chinese population. Methods: A total of 10,287 subjects were selected from the Guangzhou Heart Study. Berlin Questionnaire (BQ) was used to ascertain the OSA. The Center for Epidemiologic Studies Depression Scale (CES-D) and Zung's self-rating anxiety scale (SAS) were used to define depression and anxiety. A self-designed questionnaire was used to assess life events. Odds ratio (OR) with 95% confidence interval (95% CI) was calculated by using the logistic regression model. Results: There were 1,366 subjects (13.28%) classified into the OSA group. After adjusting for potential confounders, subjects with anxiety (OR: 2.60, 95% CI: 1.63-4.04) and depression (OR: 1.91, 95% CI: 1.19-2.97) were more likely to have OSA. Subjects suffering from both anxiety and depression were associated with a 3.52-fold (95% CI: 1.88-6.31) risk of OSA. Every 1-unit increment of CES-D score and SAS index score was associated with 13% (95% CI: 1.11-1.15) and 4% (95% CI: 1.03-1.06) increased risk of OSA. Neither positive life events nor adverse life events were associated with OSA. Conclusions: The results indicate that depression and anxiety, especially co-occurrence of both greatly, were associated with an increased risk of OSA. Neither adverse life events nor positive life events were associated with any risk of OSA. Screening for interventions to prevent and manage OSA should pay more attention to depression and anxiety.

Association of healthy lifestyle with risk of obstructive sleep apnea: a cross-sectional study.

BACKGROUND: No studies investigated the whole effect of modifiable lifestyle factors on OSA risk. This study aimed to examine the individual and combined effects of lifestyle factors on OSA risk among Chinese adults. METHODS: This cross-sectional study included 9733 participants aged 35 to 74 years from the baseline survey of Guangzhou Heart Study. OSA was evaluated by Berlin Questionnaire. The healthy lifestyle score (HLS), representing the overall effect of lifestyles, was derived from seven lifestyle factors: active smoking, passive smoking, alcohol, diet, waist-hip ratio, leisure-time physical activity, and mental status. Odds ratio (OR) with 95% confidence interval (CI) was calculated using the multivariate logistic regression model. RESULTS: 8107 participants were divided into the non-OSA group and 1626 participants into the OSA group. No passive smoking (OR 0.83, 95% CI 0.74-0.94), healthy waist-hip ratio (OR 0.67, 95% CI 0.58-0.77) and healthy mental status (OR 0.45, 95% CI 0. 29-0.73) were associated with a reduced risk of OSA after adjusting for confounders, while others not. Participants with higher HLS were negatively associated with OSA risk (P-trend < 0.001). In comparison to the participants with 0-3 HLS, the OR for participants with 4, 5, 6, and 7 HLS was 0.68 (95% CI 0.56-0.84), 0.71 (95% CI 0.59-0.86), 0.62 (95% CI 0.51-0.76) and 0.49 (95% CI 0.37-0.65) after adjusting for confounders. Every 1-score increment of HLS was associated with a 13% lower risk of OSA. CONCLUSIONS: The results suggest that HLS reflecting the combined effect of multiple-dimensional lifestyle factors was inversely associated with OSA risk. Preventive strategies integrating multiple lifestyle factors may provide a more feasible approach for OSA prevention.

Association Between Eating Habits and Risk of Obstructive Sleep Apnea: A Population-Based Study.

OBJECTIVE: The effect of dietary factors on OSA remains unclear. This study was to investigate the association of obstructive sleep apnea (OSA) with individual and overall effects of eating habits among adult Chinese. METHODS: A total of 9733 participants were selected from the baseline survey of the Guangzhou Heart Study. OSA was ascertained by Berlin Questionnaire. Food consumption was collected using a food frequency questionnaire, and eating patterns were extracted by principal component analysis. Odds ratios (ORs) with 95% confidence intervals (95% CIs) were calculated by the logistic regression model. RESULTS: After adjustment for confounders, fried food intake with ≥1/week was associated with an increased risk of OSA (OR: 1.77, 95% CI: 1.37-2.27), while fruit consumption of ≥1/day was associated with a 26% reduced risk of OSA (OR: 0.74, 95% CI: 0.62-0.88). Three eating patterns were defined and labeled as pattern I, II, and III. Eating pattern III which had higher factor loadings of animal innards, fried food, salted food, carbonate, and non-carbonated beverages was associated with an increased risk of OSA (OR: 1.30, 95% CI: 1.09-1.55) when comparing the highest with the lowest tertile of pattern score, after adjusting for confounders; every 1-unit increment of pattern III score was associated with an increased risk of OSA (OR: 1.09, 95% CI: 1.04-1.14). Neither pattern I nor pattern II was observed to be associated with OSA risk. CONCLUSION: A higher frequency intake of fruits was associated with a reduced OSA risk and a diet with higher levels of consumption of animal innards, fried food, salted food, carbonated beverages, and non-carbonated beverages may increase the risk of OSA.

Prevalence and modifiable risk factors of degenerative valvular heart disease among elderly population in southern China.

OBJECTIVE: To investigate the prevalence and modifiable risk factors of degenerative valvular heart disease (DVHD) among elderly population in southern China. METHODS: A stratified multistage sampling method was used to recruit subjects. The contents of the survey included the questionnaire, laboratory examination, echocardiography, and other auxiliary examinations. The possible risk factors of DVHD were analyzed by logistic regression analysis. RESULTS: A total of 3538 subjects ≥ 65 years of age were enrolled. One thousand three hundred and seven subjects (36.9%) were diagnosed with DVHD. Degenerative was the most common etiology of VHD. Prevalence of DVHD increased with advancing age. The prevalence of DVHD differed by living region (χ 2 = 45.594, P < 0.001), educational level ( χ 2 = 50.557, P < 0.001), and occupation ( χ 2 = 36.961, P < 0.001). Risk factors associated with DVHD included age (two-fold increased risk for each 10-year increase in age), elevated level C-reactive protein (OR = 1.346, 95% CI: 1.100-1.646), elevated level low density lipoprotein (OR = 1.243, 95% CI: 1.064-1.451), coronary artery disease (OR = 1.651, 95% CI: 1.085-2.513), smoking (OR = 1.341, 95% CI: 1.132-1.589), and hypertension (OR = 1.414, 95% CI: 1.221-1.638). Other significant risk factors included reduced or elevated level red blood cell (OR = 1.347, 95% CI: 1.031-1.761; OR = 1.599, 95% CI: 1.097-2.331; respectively), elevated level platelets (OR = 1.891, 95% CI: 1.118-3.198), elevated level uric acid (OR = 1.282, 95% CI: 1.112-1.479), and stroke (OR: 1.738, 95% CI = 1.085-2.513). CONCLUSIONS: The survey characterized the baseline conditions of DVHD cohort of elderly population in Guangzhou city. The established and emerging risk factors for DVHD may represent challenges and opportunities for therapy.

Beyond the mean: Quantile regression to differentiate the distributional effects of ambient PM2.5 constituents on sperm quality among men.

Ambient PM2.5 (particulate matter ≤ 2.5 µm in aerodynamic diameter) constituents have been related to mean changes in semen quality, but focusing on the mean response may not well capture distributional and heterogeneous effects of PM2.5 constituents on semen quality. In this study, 2314 semen samples of 622 men between Jan 1, 2019 and Dec 31, 2019 from Guangdong Human Sperm Bank were subjected to semen quality analysis. Daily average concentrations of PM2.5 constituents including 4 water-soluble ions and 15 metals/metalloid were measured for 7 days per month at 3 fixed atmospheric pollutant monitoring stations. We used quantile regression for longitudinal data to examine whether the associations between PM2.5 constituents and quality indicators of semen varied across quantiles of outcome distribution. Heterogeneous associations were found between PM2.5 constituents and sperm quality across different quantiles. An interquartile range (14.0 µg/m3) increase in PM2.5 mass was negatively associated with lower tails of sperm concentration and upper tails of sperm count distribution. PM2.5 vanadium exposure was significantly related to the 90th percentile of sperm count distribution, but not to the lower quantiles. In addition, those subjects with relatively high sperm motility were more susceptible to sulfate, chromium, and manganese constituents in PM2.5. Our results indicate that PM2.5 and certain constituents were associated with sperm quality, especially sperm motility, and the associations are more pronounced in men with relatively high or low sperm motility.

The Evolving Epidemiology of Elderly with Degenerative Valvular Heart Disease: The Guangzhou (China) Heart Study.

AIM: The present study was aimed at investigating the prevalence, incidence, progression, and prognosis of degenerative valvular heart disease (DVHD) in permanent residents aged ≥65 years from Guangzhou, China. METHODS: This was a prospective study based on community population. Over a 3-year span, we conducted repeated questionnaires, blood tests, and echocardiographic and electrocardiogram examinations (2018) of a random sample of initially 3538 subjects. RESULTS: The prevalence of DVHD increased with age, average values being 30.6%, 49.2%, and 62.9% in 65-74, 75-84, and ≥85 years of age, respectively. The incidence rate was 1.7%/year. Aortic stenosis was the result of DVHD, and the mean transvalvular pressure gradient increased by 5.6 mmHg/year. The increase of mild aortic stenosis was lower than that of more severe disease, showing a nonlinear development of gradient, but with great individual variations. Mortality was significantly increased in the DVHD group (HR = 2.49). Risk factors for higher mortality included age (χ 2 = 1.9, P < 0.05), renal insufficiency (χ 2 = 12.5, P < 0.01), atrial fibrillation (χ 2 = 12.2, P < 0.01), mitral regurgitation (χ 2 = 1.8, P < 0.05), and tricuspid regurgitation (χ 2 = 6.7, P < 0.05) in a DVHD population. CONCLUSIONS: DVHD was highly prevalent among residents in southern China. With the progression of the disease, the mean transvalvular pressure gradient accelerated. DVHD was an independent predictor of death, and the mortality was higher in those with older age, renal insufficiency, atrial fibrillation, mitral regurgitation, and tricuspid regurgitation.

Association between physical activity and risk of obstructive sleep apnea.

PURPOSE: This aim of this study was to investigate the association of physical activity with OSA risk among adult Chinese. METHODS: Participants were selected from baseline survey of the Guangzhou Heart Study. OSA was ascertained by using Berlin Questionnaire, and the physical activity, including leisure-time physical activity (LTPA), occupational activity, and transport activity, was measured with modified Global Physical Activity Questionnaire. Principal component analysis was used to extract the patterns of LTPA with varimax orthogonal transformation. Odds ratios (OR) with 95% confidence interval (95% CI) were calculated by using the logistic regression method. RESULTS: For all 9733 participants, aged 35 to 74 years, LTPA (high vs. inactive, OR: 0.81, 95% CI: 0.64-1.03), occupational activity (vigorous vs. retirement, OR:1.28, 95% CI: 0.93-1.75) and transport activity (high vs. retirement, OR: 1.05, 95% CI: 0.69-1.60) were not associated with OSA risk after considering potential confounders. Any specific component of LTPA and two LTPA patterns were also not associated with OSA risk. Stratified analysis yielded similar nonsignificant association of OSA risk with three dimensions of physical activity in both the retirement group and non-retirement group. CONCLUSION: This study found that three dimensions of physical activity, including LTPA, transport activity, and occupational activity, were not associated with any risk of OSA. Future studies with longitudinal design are needed.