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Background and aims: Using structural equation model (SEM) to test a conceptual model of pathways of developing hypertension among dysglycemia (IFG and T2DM) adults in Eastern China, emphasizing the unique mediation effect of insulin resistance and obesity on the relationship between modified/unmodified factors and hypertension. Methods and results: Participants with dysglycemia (n = 10,401) were extracted from the survey of Chronic Disease and Risk Factor Surveillance in Nanjing, the capital of Jiangsu Province in China. Dietary patterns were identified by using principal component analysis (PCA). SEM was employed to evaluate multiple pathways of hypertension among participants with IFG and T2DM. Three dietary patterns were derived using PCA. The tuber animal food pattern (OR = 0.825, 95% CI 0.723–0.940) and the balanced food pattern (OR = 0.812, 95% CI 0.715–0.922) were negatively associated with hypertension, while the Chinese rural food pattern (OR = 1.163, 95% CI 1.019–1.328) was positively associated with hypertension. The best SEM model showed that BMI (0.140), smoking (0.048) and Chinese rural food pattern (0.022) positively associated with hypertension; while tuber animal food pattern (− 0.025) had a negative direct effect on hypertension. Notably, insulin resistance could mediate the link between lifestyles (smoking and dietary patterns) and hypertension. Conclusion: Accordingly, we emphasized the importance of lifestyle intervention, mainly including obesity management, choosing healthy diets and decreasing smoking control, which may profoundly benefit this high-risk group among Chinese population. [ABSTRACT FROM AUTHOR]

Background: Cardiovascular disease (CVD) is a major global health threat, particularly in China, contributing to over 40% of deaths. While sleep behaviors, sedentary behaviors, and physical activities are recognized as independent lifestyle risk factors for CVD, there remains limited understanding of specific movement behavior patterns and their CVD risks, especially considering sex-specific differences. This study examines movement behavior patterns among Chinese adults (40–75) and their associations with cardiovascular risk, with a focus on sleep, physical activity (PA), and sedentary behavior (SB). Methods: Data pertaining to 13,465 male participants and 15,613 female participants, collected from the Chronic Disease and Risk Factor Surveillance Survey in Nanjing from February 2020 to December 2022. The latent class analysis method was employed to identify underlying movement patterns across sexes. Multinomial logistic regression models assessed CVD risk, and the China-PAR model calculated 10-year risk. Results: Three male and four female movement patterns emerged. Active Movers (17.10% males, 5.93% females) adhered to PA recommendations but had poorer sleep quality. Moderate Achievers (61.42% males, 45.32% females) demonstrated moderate behavior. Sedentary Sleepers (21.48% males, 10.20% females) exhibited minimal PA but good sleep. Female Moderate Physical Activity (MPA) Dominant Movers demonstrated a prevalent adherence to recommended MPA levels. Active movers had the lowest CVD risk. After adjusting for potential confounders, moderate achievers (OR = 1.462, 95% CI 1.212, 1.764) and sedentary sleepers (OR = 1.504, 95% CI 1.211, 1.868) were both identified as being associated with a high-risk of cardiovascular diseases (CVDs) compared to active movers in males, demonstrating a similar trend for intermediate risk. Such associations were not statistically significant among females. Conclusions: Our study revealed sex-specific movement patterns associated with CVD risks among middle-aged Chinese adults. We suggest that adopting an active movement behavior pattern, characterized by meeting or exceeding recommended levels of vigorous physical activity (VPA) and reducing sedentary behavior, is beneficial for all middle-aged adults, particularly males. An active lifestyle could help counteract the adverse effects of relatively poor sleep quality on the risk of developing CVD in this population. Integrating sleep, PA, and SB information provides a holistic framework for understanding and mitigating CVD risks. [ABSTRACT FROM AUTHOR]

A suite of instruments was deployed to simultaneously measure nitrous acid (HONO), nitrogen oxides (NOx = NO + NO2), carbon monoxide (CO), ozone (O3), volatile organic compounds (VOCs – including formaldehyde, HCHO) and meteorological parameters near a typical industrial zone in Nanjing in the Yangtze River Delta (YRD) region of China from 1 to 31 December 2015. High levels of HONO were detected using a wet-chemistry-based method. HONO ranged from 0.03 to 7.04 ppbv with an average of 1.32±0.92 ppbv. Elevated daytime HONO was frequently observed with a minimum of several hundred parts per trillion by volume (pptv) on average, which cannot be explained by the homogeneous OH + NO reaction (POH+NO) and primary emissions (Pemission), especially during periods with high particulate matter (PM 2.5) loadings. HONO chemistry and its impact on the atmospheric oxidation capacity in the study area were further investigated using a Master Chemical Mechanism (MCM) box model. The results show that the average hydroxyl radical (OH) production rate was dominated by the photolysis of HONO (7.13×106 molec. cm -3 s -1), followed by the ozonolysis of alkenes (3.94×106 molec. cm -3 s -1), the photolysis of O3 (2.46×106 molec. cm -3 s -1) and the photolysis of HCHO (1.60×106 molec. cm -3 s -1) during the campaign period, especially within plumes that originated from the industrial zone. Model simulations indicated that heterogeneous chemistry played an important role in HONO formation. The average nighttime NO2 to HONO conversion rate was determined to be ∼0.8 % h -1. A good correlation between nocturnal HONO/NO2 and the product of particle surface area density (S/V) and relative humidity (RH), S/V⋅RH , supports the heterogeneous NO2/H2O reaction mechanism. The other HONO source, designated as Punknonwn , was about twice as high as POH+NO on average and displayed a diurnal profile with an evidently photo-enhanced feature, i.e., photosensitized reactions of NO2 may be an important daytime HONO source. Nevertheless, our results suggest that daytime HONO formation was mostly due to the light-induced conversion of NO2 on aerosol surfaces, whereas heterogeneous NO2 reactions on the ground surface dominated nocturnal HONO production. Our study indicated that an elevated PM 2.5 level during haze events can promote the conversion of NO2 to HONO by providing more heterogeneous reaction sites, thereby increasing the atmospheric oxidation capacity, which may further promote the formation of secondary air pollutants. Highlights: High levels of HONO, with an average of 1.32±0.92 ppbv, were observed near one of the largest industrial zones in the YRD region of China. HONO photolysis and alkene ozonolyses contributed the most to OH production and, hence, the atmospheric oxidation capacity. High loading of PM 2.5 provided additional reaction surfaces for HONO formation. Heterogeneous formation mechanisms were the most important daytime HONO sources and were further enhanced by sunlight. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the associations between sleep duration and total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C).Methods: The present study included 60,283 adults aged ≥18 years from the Chronic Disease and Risk Factor Surveillance in Nanjing. Generalized additive model (GAM) with forward stepwise selection method was used to analyze the nonlinear relationships between sleep duration and abnormal serum lipids. The reported effective degree of freedom (EDF) values in GAM indicates the degree of smooth curvature. EDF = 1 is a sign of linear correlation between predictors and outcome. EDF >1 is the sign of a more complex relationship between sleep duration and abnormal serum lipids.Results: The evaluation of interaction of sex and sleep duration by using multivariable GAM revealed a U-shaped correlation between sleep duration and dyslipidemia (EDF = 4.60, P < 0.001), high TC (EDF = 3.38, P < 0.001), and high LDL-C (EDF = 3.67, P < 0.001) in male, and a U-shaped correlation between sleep duration and dyslipidemia (EDF = 4.69, P < 0.001), high TC (EDF = 3.33, P < 0.001), and high LDL-C (EDF = 3.21, P < 0.001) in female. There was a U-shaped correlation between sleep duration and high TG in male (EDF = 3.84, P < 0.001) and semi-linear correlation in female (EDF = 1.82, P = 0.028). Moreover, there was a linear correlation between sleep duration and low HDL-C in men (EDF = 1.04, P = 0.002), but no significant correlation in women (EDF = 3.18, P = 0.080).Conclusions: Both shorter and longer sleep durations were associated with abnormal serum lipid profiles in men and women. [ABSTRACT FROM AUTHOR]