Air Pollution/analysis* ; Environmental Exposure/analysis* ; China/epidemiology* ; Air Pollutants/analysis* ; Particulate Matter/analysis* ; Environmental Monitoring

BACKGROUND: Metabolic Dysfunction-associated Steatotic Liver Disease (MASLD) has become a global epidemic, and air pollution has been identified as a potential risk factor. This study aims to investigate the non-linear relationship between ambient air pollution and MASLD prevalence. METHOD: In this cross-sectional study, participants undergoing health checkups were assessed for three-year average air pollution exposure. MASLD diagnosis required hepatic steatosis with at least 1 out of 5 cardiometabolic criteria. A stepwise approach combining data visualization and regression modeling was used to determine the most appropriate link function between each of the six air pollutants and MASLD. A covariate-adjusted six-pollutant model was constructed accordingly. RESULTS: A total of 131,592 participants were included, with 40.6% met the criteria of MASLD. "Threshold link function," "interaction link function," and "restricted cubic spline (RCS) link functions" best-fitted associations between MASLD and PM_2.5, PM₁₀/CO, and O₃ /SO₂/NO₂, respectively. In the six-pollutant model, significant positive associations were observed when pollutant concentrations were over: 34.64 µg/m³ for PM_2.5, 57.93 µg/m³ for PM₁₀, 56 µg/m³ for O₃, below 643.6 µg/m³ for CO, and within 33 and 48 µg/m³ for NO₂. The six-pollutant model using these best-fitted link functions demonstrated superior model fitting compared to exposure-categorized model or linear link function model assuming proportionality of odds. CONCLUSION Non-linear associations were found between air pollutants and MASLD prevalence. PM_2.5, PM₁₀, O₃, CO, and NO₂ exhibited positive associations with MASLD in specific concentration ranges, highlighting the need to consider non-linear relationships in assessing the impact of air pollution on MASLD.
Humans ; Nitrogen Dioxide ; Cross-Sectional Studies ; Air Pollution/analysis* ; Air Pollutants/analysis* ; Particulate Matter/analysis* ; Liver Diseases ; Environmental Exposure/analysis*

OBJECTIVE: This study assesses the impact of smoke-free legislation on the incidence rate for acute myocardial infarction (AMI) and stroke in Shenzhen. METHODS: Data on ischemic ( n = 72,945) and hemorrhagic ( n = 18,659) stroke and AMI ( n = 17,431) incidence covering about 12 million people in Shenzhen from 2012 to 2016 were used. Immediate and gradual changes in incidence rates were analyzed using segmented Poisson regression. RESULTS: Following the smoke-free legislation, a 9% (95% CI: 3%-15%) immediate reduction was observed in AMI incidence, especially in men (8%, 95% CI: 1%-14%) and in those aged 65 years and older (17%, 95% CI: 9%-25%). The gradual annual benefits were observed only in hemorrhagic and ischemic stroke incidence, with a 7% (95% CI: 2%-11%) and 6% (95% CI: 4%-8%) decrease per year, respectively. This health effect extended gradually to the 50-64 age group. In addition, neither the immediate nor gradual decrease in stroke and AMI incidence rates did not show statistical significance among the 35-49 age group ( P > 0.05). CONCLUSION Smoke-free legislation was enforced well in Shenzhen, which would generate good experiences for other cities to enact and enforce smoke-free laws. This study also provided more evidence of the health benefits of smoke-free laws on stroke and AMI.
Male ; Humans ; Middle Aged ; Adult ; Incidence ; Interrupted Time Series Analysis ; Stroke/etiology* ; Myocardial Infarction/etiology* ; China/epidemiology* ; Tobacco Smoke Pollution

Humans ; Diabetes Mellitus, Type 2/epidemiology* ; Air Pollution/adverse effects* ; Air Pollutants/toxicity* ; Risk Assessment ; Particulate Matter ; Environmental Exposure

Objective To explore the overall level,distribution characteristics,and differences in household fine particulate matter (PM_2.5) pollution caused by fuel burning in urban and rural areas in China. Methods The relevant articles published from 1991 to 2021 were retrieved and included in this study.The data including the average concentration of household PM_2.5 and urban and rural areas were extracted,and the stoves and fuel types were reclassified.The average concentration of PM_2.5 in different areas was calculated and analyzed by nonparametric test. Results The average household PM_2.5 concentration in China was (178.81±249.91) μg/m³.The mean household PM_2.5 concentration was higher in rural areas than in urban areas[(206.08±279.40) μg/m³ vs. (110.63±131.16) μg/m³;Z=-5.45,P<0.001] and higher in northern areas than in southern areas[(224.27±301.66) μg/m³ vs.(130.11±140.61) μg/m³;Z=-2.38,P=0.017].The north-south difference in household PM_2.5 concentration was more significant in rural areas than in urban areas[(324.19±367.94) μg/m³ vs.(141.20±151.05) μg/m³,χ²=-5.06,P<0.001].The PM_2.5 pollution level showed differences between urban and rural households using different fuel types (χ²=92.85,P<0.001),stove types (χ²=74.42,P<0.001),and whether they were heating (Z=-4.43,P<0.001).Specifically,rural households mainly used solid fuels (manure,charcoal,coal) and traditional or improved stoves,while urban households mainly used clean fuels (gas) and clean stoves.The PM_2.5 concentrations in heated households were higher than those in non-heated households in both rural and urban areas (Z=-4.43,P<0.001). Conclusions The household PM_2.5 pollution caused by fuel combustion in China remains a high level.The PM_2.5 concentration shows a significant difference between urban and rural households,and the PM_2.5 pollution is more serious in rural households.The difference in the household PM_2.5 concentration between urban and rural areas is more significant in northern China.PM_2.5 pollution in the households using solid fuel,traditional stoves,and heating is serious,and thus targeted measures should be taken to control PM_2.5 pollution in these households.
Humans ; Particulate Matter/analysis* ; Air Pollution, Indoor/analysis* ; Cooking ; Environmental Exposure/analysis* ; China ; Rural Population

Objective: To investigate the association of mixed exposure to greenness and nitrogen dioxide(NO₂) and hypertension among the older adults aged 65 years and over in China. Methods: The study subjects were from the Chinese Longitudinal Healthy Longevity Survey from 2017 to 2018. A total of 15 423 older adults aged 65 years and over meeting the criteria were finally included in the study. A questionnaire survey was used to collect information on demographic characteristics, lifestyle habits and self-reported prevalence of hypertension. Blood pressure values were obtained through physical examination. The level of normalized difference vegetation index(NDVI) was measured by the Medium-resolution Imaging Spectral Radiator(MODIS) of the National Aeronautics and Space Administration(NASA). The concentration of NO₂ was from China's surface air pollutant data set. Meteorological data was from NASA MERRA-2. The exposure to NDVI and NO₂ for each study subject was calculated based on the area within a 1 km radius around their residence. The association between mixed exposure of NDVI and NO₂ as well as their interaction and hypertension in older adults was analyzed by using the multivariate logistic regression model. The restrictive cubic spline(RCS) function was used to explore the exposure-response relationship between greenness and NO₂ and the risk of hypertension in study subjects. Results: The mean age of 15 423 older adults were (85.6±11.6). Women accounted for 56.3%(8 685/15 423) and 55.6%(8 578/15 423) lived in urban areas. The mean time of residence was (60.9±28.5) years. 59.8% of participants were with hypertension. The mean NDVI level was 0.41±0.13, and the mean NO₂ concentration was (32.18±10.36) μg/cm³. The results of multivariate logistic regression analysis showed that NDVI was inversely and linearly associated with the hypertension in older adults, with the OR(95%CI) value of 0.959(0.928-0.992). Compared with the T₁ group of NDVI, the risk of hypertension was lower in the T₃ group, with the OR(95%CI) value of 0.852(0.769-0.944), and the trend test was statistically significant(P<0.05). Compared with the T₁ group of NO₂, the risk of hypertension was higher in the T₂ and T₃ groups, with OR(95%CI) values of 1.160(1.055-1.275) and 1.244(1.111-1.393), and the trend test was statistically significant (P<0.05). The result of the RCS showed that NDVI was inversely and linearly associated with hypertension in older adults. NO₂ was nonlinearly associated with hypertension in older adults. The interaction analysis showed that NDVI and NO₂ had a negative multiplicative interaction on the risk of hypertension, with OR(95%CI) value of 0.995(0.992-0.997). Conclusion: Exposure to greenness and NO₂ are associated with hypertension in older adults.
Aged ; Humans ; Female ; Nitrogen Dioxide ; Air Pollution ; Prevalence ; Hypertension/epidemiology* ; China/epidemiology* ; Particulate Matter/analysis*

Objective: To explore the risk intensity and related influencing factors of post-traumatic stress disorder (PTSD) among high-stress rescue workers, and to provide effective tools for the risk assessment of PTSD in military rescue workers. Method: From June to August 2022, cluster sampling was used to select the high-stress rescue personnel of an Army department as the survey subjects. The acute Stress reaction (ASD) scale and PTSD checklist were used to evaluate the risk of PTSD in military rescue personnel. Multivariate logistic regression were used to analyze the influencing factors of PTSD. Results: The age of 4 460 subjects was (24.38±4.072) years old, including 4 396 males (98.6%). The positive rate of initial screening for ASD was 2.85% (127/4 460). The positive rate of PTSD was 0.67% (30/4 460). Multivariate logistic regression model analysis showed that female, older age, recent trauma exposure history, passive smoking and alcohol consumption were at higher risk of ASD, the values of OR (95%CI) were 4.183 (1.819-9.618), 6.278 (1.363-28.912), 3.094 (1.500-6.379), 2.059 (1.298-3.267) and 2.607 (1.614-4.211), respectively; Lower education level was associated with lower risk of ASD, OR (95%CI) was 0.593 (0.359-0.978); People who are older, thinner, have a history of mental illness, and drink alcohol were at higher risk for PTSD, the values of OR (95%CI) were 20.144 (2.459-165.043), 10.287 (2.218-47.700), 91.104 (8.592-965.980) and 2.866 (1.144-7.180), respectively. Conclusion: Gender, age, education level, passive smoking, alcohol consumption, past history of mental illness and body mass index may be related to the potential risk of PTSD in rescue workers,passive smoking, alcohol consumption, and weight controlling should be focused on to reduce potential risks of PTSD.
Male ; Humans ; Female ; Young Adult ; Adult ; Stress Disorders, Post-Traumatic/prevention & control* ; Tobacco Smoke Pollution ; Risk Assessment ; Military Personnel ; Alcohol Drinking

Health damage including chronic disease caused by air pollution have attracted increasing attention. With the acceleration of industrialization and urbanization, the emission of air pollutants has increased, and its association with chronic diseases has become a research trending topic. Cardiovascular disease, cancer, diabetes, and chronic respiratory disease are the major chronic diseases, causing about 86.6% of the total deaths in China. The prevention and control of chronic diseases, especially the etiologic prevention, is a major public health issue related to national health. This article summarizes the recent progress in research of association of indoor and outdoor air pollution with all-cause mortality, the deaths and disease burden of four major chronic diseases, i.e. cardiovascular disease, cancer, diabetes, and chronic respiratory disease, and puts forward suggestions for the reduction of the burden caused by chronic diseases due to air pollution to provide a theoretical foundation to revise air quality standards in China.
Humans ; Cardiovascular Diseases ; Air Pollution ; China ; Cost of Illness ; Chronic Disease ; Respiratory Tract Diseases

Objective: To understand the relationship between secondhand smoke exposure and dyslipidemia among adults in Beijing and to provide a scientific basis for relevant intervention. Methods: Data were from Beijing Adult Non-communicable and Chronic Diseases and Risk Factors Surveillance Program in 2017. A total of 13 240 respondents were selected by multistage cluster stratified sampling method. The monitoring contents include a questionnaire survey, physical measurement, collection of fasting venous blood, and determination of related biochemical indicators. SPSS 20.0 software was used for the chi-square test and multivariate logistic regression analysis. Results: The prevalence of total dyslipidemia (39.27%), hypertriglyceridemia (22.61%), and high LDL-C (6.03%) were the highest among those exposed to daily secondhand smoke. Among the male respondents, the prevalence of total dyslipidemia (44.42%) and hypertriglyceridemia (26.12%) were the highest among those exposed to secondhand smoke daily. Multivariate logistic regression analysis after adjustment for confounding factors showed that compared with no exposure to secondhand smoke, the population with an average exposure frequency of 1-3 days per week had the highest risk of total dyslipidemia (OR=1.276, 95%CI: 1.023-1.591). Among the patients with hypertriglyceridemia, those exposed to secondhand smoke daily had the highest risk (OR=1.356, 95%CI: 1.107-1.661). Among the male respondents, those exposed to secondhand smoke for 1-3 days per week had a higher risk of total dyslipidemia (OR=1.366, 95%CI: 1.019-1.831), and the highest risk of hypertriglyceridemia (OR=1.377, 95%CI: 1.058-1.793). There was no significant correlation between the frequency of secondhand smoke exposure and the risk of dyslipidemia among female respondents. Conclusions: Secondhand smoke exposure in Beijing adults, especially men, will increase the risk of total dyslipidemia, especially hyperlipidemia. Improving personal health awareness and minimizing or avoiding exposure to secondhand smoke is necessary.
Adult ; Humans ; Female ; Male ; Tobacco Smoke Pollution/adverse effects* ; Beijing ; Dyslipidemias/epidemiology* ; Hypertriglyceridemia/epidemiology* ; Fasting

OBJECTIVES: Lipoprotein-associated phospholipase A2 (Lp-PLA2) is a vaso-specific inflammatory marker that exacerbates atherosclerotic through inflammatory responses. It can be used to predict the occurrence of adverse cardiovascular events and to assess the residual risk of cardiovascular diseases. This study aims to investigate the correlation between smoking and serum Lp-PLA2 levels in overweight and obese men, and to provide evidence for preventing the cardiovascular diseases. METHODS: Male subjects, who participated in health examination at the Health Management Center, Third Xiangya Hospital, Central South University from May 1, 2020 to April 30, 2021, were selected. The smoking status and other information were collected by the Self-test Scale of Physical Examination. According to the smoking status, they were divided into a never-smoking group, a current smoking group, a quit smoking group and a passive smoking group. According to the daily smoking amount, the current smoking subjects were divided into a <10 cigarettes group, a 10 to 20 cigarettes group, a 21 to 30 cigarettes group, and a >30 cigarettes group. According to the smoking years, the current smoking subjects were divided into a <5 years group, a 5 to 10 years group, a 11 to 20 years group, and a >20 years group.Serum Lp-PLA2 levels and other clinical indexes in different smoking groups were measured and compared, the correlation between smoking and serum Lp-PLA2 levels in overweight and obese men was analyzed by logistic regression analysis. RESULTS: Serum Lp-PLA2 levels were significantly different between the never-smoking group and the current smoking group (P<0.05). Logistic regression analysis showed that, before adjusting other influencing factors and in terms of smoking status, the current smoking group (OR=1.81, 95% CI 1.27 to 2.58, P<0.01) and the quit smoking group (OR=2.09, 95% CI 1.12 to 3.90, P<0.05) were positively correlated with serum Lp-PLA2 levels compared with the never-smoking group, while the passive smoking group had no correlation with serum Lp-PLA2 levels (OR=1.27, 95% CI 0.59 to 2.73, P>0.05). In terms of daily smoking amount, the 10 to 20 cigarettes group (OR=2.09, 95% CI 1.40 to 3.12, P<0.001) and the 21 to 30 cigarettes group (OR=1.98, 95% CI 1.22 to 3.20, P<0.01) were positively correlated with serum Lp-PLA2 levels compared with the never-smoking group, while the <10 cigarettes group (OR=1.45, 95% CI 0.81 to 2.60, P>0.05) and the >30 cigarettes group (OR=1.17, 95% CI 0.60 to 2.28, P>0.05) had no correlation with serum Lp-PLA2 levels. In terms of smoking years, the 5 to 10 years group (OR=1.94, 95% CI 1.07 to 3.53, P<0.05), the 11 to 20 years group (OR=2.06, 95% CI 1.33 to 3.18, P<0.01), and the >20 years group (OR=1.66, 95% CI 1.11 to 2.47, P<0.05) were positively correlated with serum Lp-PLA2 levels compared with the never-smoking group, while the <5 years group had no correlation with serum Lp-PLA2 levels (OR=1.12, 95% CI 0.38 to 3.33, P>0.05). After adjusting for age and other indicators, the correlation between smoking years and serum Lp-PLA2 levels was the same as before adjustment among the above smoking groups, except that the correlation between the smoking 5 to 10 years group and serum Lp-PLA2 levels was not significant (OR=1.77, 95% CI 0.95 to 3.29, P>0.05). CONCLUSIONS Smoking is correlated with serum Lp-PLA2 levels in overweight and obese men.
Humans ; Male ; 1-Alkyl-2-acetylglycerophosphocholine Esterase ; Overweight ; Cardiovascular Diseases ; Tobacco Smoke Pollution ; Biomarkers ; Obesity ; Smoking ; Risk Factors