BACKGROUND: Evidence on the combined effects of air pollutants and greenspace exposure on pulmonary tuberculosis (PTB) treatment is limited, particularly in developing countries with high levels of air pollution. OBJECTIVE: We aimed to examine the individual and combined effects of long-term exposure to air pollutants on PTB treatment outcomes while also investigating the potential modifying effect of greenspace. METHODS: This population-based study included 82,784 PTB cases notified in Zhejiang Province, China, from 2015 to 2019. The 24-month average concentrations of particulate matter with an aerodynamic diameter ≤2.5 µm (PM_2.5), ozone (O₃), nitrogen dioxide (NO₂), and sulfur dioxide (SO₂) before PTB diagnosis were estimated using a dataset derived from satellite-based machine learning models and monitoring stations. Greenspace exposure was assessed using the annual China Land Cover Dataset. We conducted analyses using time-varying Cox proportional hazards models and cumulative risk indices. RESULTS: In individual effect models, each 10 µg/m³ increase in PM_2.5, NO₂, O₃, and SO₂ concentrations was associated with hazard ratios for PTB treatment success of 0.95 (95% confidence interval (CI): 0.93-0.97), 0.92 (95% CI: 0.91-0.94), 0.98 (95% CI: 0.97-0.99), and 1.52 (95% CI: 1.49-1.56), respectively. In combined effect models, long-term exposure to the combination of air pollutants was negatively associated with PTB treatment success, with a joint hazard ratio (JHR) of 0.79 (95% CI: 0.63-0.96). Among the pollutants examined, O₃ contributed the most to the increased risks, followed by PM_2.5 and NO₂. Additionally, areas with moderate levels of greenspace showed a reduced risk (JHR = 0.81, 95% CI: 0.62-0.98) compared with the estimate from the third quantile model (JHR = 0.68, 95% CI: 0.52-0.83). CONCLUSIONS Combined air pollutants significantly impede successful PTB treatment outcomes, with O₃ and PM_2.5 accounting for nearly 75% of this detrimental effect. Moderate levels of greenspace can mitigate the adverse effects associated with combined air pollutants, leading to improved treatment success for patients with PTB.
Humans ; China/epidemiology* ; Air Pollutants/analysis* ; Tuberculosis, Pulmonary/drug therapy* ; Particulate Matter/adverse effects* ; Male ; Female ; Middle Aged ; Environmental Exposure/analysis* ; Ozone/adverse effects* ; Adult ; Sulfur Dioxide/adverse effects* ; Treatment Outcome ; Air Pollution/adverse effects* ; Aged ; Nitrogen Dioxide/adverse effects* ; Young Adult ; Adolescent

BACKGROUND: The effect of air pollution on annual change rates in grip strength and body composition in the elderly is unknown. OBJECTIVES: This study evaluated the effects of long-term exposure to ambient air pollution on change rates of grip strength and body composition in the elderly. METHODS: In the period 2016-2020, grip strength and body composition were assessed and measured 1-2 times per year in 395 elderly participants living in the Taipei basin. Exposure to ambient fine particulate matters (PM_2.5), nitric dioxide (NO₂), and ozone (O₃) from 2015 to 2019 was estimated using a hybrid Kriging/Land-use regression model. In addition, long-term exposure to carbon monoxide (CO) was estimated using an ordinary Kriging approach. Associations between air pollution exposures and annual changes in health outcomes were analyzed using linear mixed-effects models. RESULTS: An inter-quartile range (4.1 µg/m³) increase in long-term exposure to PM_2.5 was associated with a faster decline rate in grip strength (-0.16 kg per year) and skeletal muscle mass (-0.14 kg per year), but an increase in body fat mass (0.21 kg per year). The effect of PM_2.5 remained robust after adjustment for NO₂, O₃ and CO exposure. In subgroup analysis, the PM_2.5-related decline rate in grip strength was greater in participants with older age (>70 years) or higher protein intake, whereas in skeletal muscle mass, the decline rate was more pronounced in participants having a lower frequency of moderate or strenuous exercise. The PM_2.5-related increase rate in body fat mass was higher in participants having a lower frequency of strenuous exercise or soybean intake. CONCLUSIONS Among the elderly, long-term exposure to ambient PM_2.5 is associated with a faster decline in grip strength and skeletal muscle mass, and an increase in body fat mass. Susceptibility to PM_2.5 may be influenced by age, physical activity, and dietary protein intake; however, these modifying effects vary across different health outcomes, and further research is needed to clarify their mechanisms and consistency.
Humans ; Hand Strength ; Aged ; Male ; Female ; Environmental Exposure/adverse effects* ; Follow-Up Studies ; Taiwan ; Air Pollution/adverse effects* ; Particulate Matter/adverse effects* ; Muscle, Skeletal/drug effects* ; Air Pollutants/adverse effects* ; Ozone/adverse effects* ; Aged, 80 and over ; Adipose Tissue/drug effects* ; Body Composition/drug effects* ; Nitrogen Dioxide/adverse effects*

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*

To analyze the association between exposure to air pollution and respiratory disease of primary school students in Chongqing City. Eight districts and counties were randomly selected based on the air pollution situation in Chongqing City. In each selected district and county, one primary school was randomly selected. A questionnaire survey was conducted on all primary school students in Grades 3-5 by the end of 2019. Air quality data from the nearest environmental monitoring sites were collected. A logistic regression model was used to analyze the impact of the living environment, lifestyle and air pollution on the respiratory disease of surveyed students. This study included 5 918 primary school students, with a prevalence rate of respiratory disease of 21.54%. The prevalence rates of boys and girls were 23.38% and 19.59%, respectively. The average Air quality index (AQI) of the surveyed school was 67, and the rates of exceeding standards of PM₁₀, PM_2.5, NO₂ and O₃ were 1.16%, 6.92%, 0.99% and 5.65%, respectively. The level of SO₂ and CO did not exceed the standard. After adjusting for relevant factors, logistic regression analysis showed that primary school students in areas with high exposure to air pollution (OR=2.52), using air pollution related-chemicals at home (OR=1.47), passive smoking (OR=1.27), and keeping pets at home (OR=1.18) had a higher risk of respiratory disease (all P<0.05). In addition, the average annual values of AQI (OR=1.18), PM₁₀ (OR=1.20), PM_2.5 (OR=1.35), and NO₂ (OR=1.11) increased the risk of respiratory diseases in primary school students (all P<0.05). In conclusion, the respiratory disease of primary school students in Chongqing City is related to the living environment, behavior habits and ambient air quality. The increased exposure concentration of PM₁₀, PM_2.5 and NO₂ in air pollutants can lead to an increased risk of respiratory disease among primary school students.
Female ; Humans ; Male ; Air Pollution/adverse effects* ; Nitrogen Dioxide ; Particulate Matter ; Respiratory Tract Diseases/epidemiology* ; Schools ; Students ; Child

Nitrogen dioxide (NO₂) is an important indoor air pollutant, with both outdoor and indoor sources contributing to indoor NO₂ exposure levels. Considering the association of high NO₂ exposure with adverse health effects, the Standards for indoor air quality (GB/T 18883-2022) have been revised to further restrict indoor NO₂ limit values. The 1-h average concentration limit value for NO₂ has been reduced from 0.24 mg/m³ to 200 μg/m³.This study analyzed the technical contents related to the determination of the limits of indoor NO₂ in Standards for Indoor Air Quality (GB/T 18883-2022), including source, exposure level, health effects, and the process and evidence basis for determining the limit value. It also proposed prospects for the direction for the implementation of the indoor NO₂ standard.
Humans ; Air Pollution, Indoor/adverse effects* ; Nitrogen Dioxide ; Air Pollutants/analysis* ; China ; Air Pollution/adverse effects*

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 determine the causal association between long-term Nitrogen dioxide (NO₂) exposure and the risk of cardiovascular hospitalization. Methods: Based on a sub-cohort of a community-based prospective cohort study, a total of 36 271 participants were recruited from 35 communities randomly selected in Guangzhou in 2015. The annual average exposure of NO₂, demographic characteristics, lifestyle factors, and information on the causes of hospitalization was collected. We applied marginal structural Cox models to investigate the effect of NO₂ on cardiovascular hospitalization. Demographic and behavioral factors also stratified results. Results: The mean age of participants in the present study was (50.9±17.8) years, and the cardiovascular admission rate was 8.7%, with 203 822 person-years of follow-up. The annual mean NO₂ concentration was 48.7 μg/m³ during 2015-2020. For each 10 μg/m³ increase in NO₂ concentrations, the HRs (95%CIs) of total cardiovascular hospitalization, cardiovascular hospitalization, and cerebrovascular hospitalization were 1.33 (1.16-1.52), 1.36 (1.16-1.60) and 1.25 (1.00-1.55), respectively. Participants who were never married/married, with secondary education, high exercise frequency, or non-smokers/current smokers may be more susceptible than their counterparts. Conclusion: Long-term exposure to NO₂ significantly increased hospitalization risk for cardiovascular disease.
Humans ; Adult ; Middle Aged ; Aged ; Nitrogen Dioxide ; Prospective Studies ; Cardiovascular Diseases/epidemiology* ; Causality ; Hospitalization

To analyze the association between exposure to air pollution and respiratory disease of primary school students in Chongqing City. Eight districts and counties were randomly selected based on the air pollution situation in Chongqing City. In each selected district and county, one primary school was randomly selected. A questionnaire survey was conducted on all primary school students in Grades 3-5 by the end of 2019. Air quality data from the nearest environmental monitoring sites were collected. A logistic regression model was used to analyze the impact of the living environment, lifestyle and air pollution on the respiratory disease of surveyed students. This study included 5 918 primary school students, with a prevalence rate of respiratory disease of 21.54%. The prevalence rates of boys and girls were 23.38% and 19.59%, respectively. The average Air quality index (AQI) of the surveyed school was 67, and the rates of exceeding standards of PM₁₀, PM_2.5, NO₂ and O₃ were 1.16%, 6.92%, 0.99% and 5.65%, respectively. The level of SO₂ and CO did not exceed the standard. After adjusting for relevant factors, logistic regression analysis showed that primary school students in areas with high exposure to air pollution (OR=2.52), using air pollution related-chemicals at home (OR=1.47), passive smoking (OR=1.27), and keeping pets at home (OR=1.18) had a higher risk of respiratory disease (all P<0.05). In addition, the average annual values of AQI (OR=1.18), PM₁₀ (OR=1.20), PM_2.5 (OR=1.35), and NO₂ (OR=1.11) increased the risk of respiratory diseases in primary school students (all P<0.05). In conclusion, the respiratory disease of primary school students in Chongqing City is related to the living environment, behavior habits and ambient air quality. The increased exposure concentration of PM₁₀, PM_2.5 and NO₂ in air pollutants can lead to an increased risk of respiratory disease among primary school students.
Female ; Humans ; Male ; Air Pollution/adverse effects* ; Nitrogen Dioxide ; Particulate Matter ; Respiratory Tract Diseases/epidemiology* ; Schools ; Students ; Child

Nitrogen dioxide (NO₂) is an important indoor air pollutant, with both outdoor and indoor sources contributing to indoor NO₂ exposure levels. Considering the association of high NO₂ exposure with adverse health effects, the Standards for indoor air quality (GB/T 18883-2022) have been revised to further restrict indoor NO₂ limit values. The 1-h average concentration limit value for NO₂ has been reduced from 0.24 mg/m³ to 200 μg/m³.This study analyzed the technical contents related to the determination of the limits of indoor NO₂ in Standards for Indoor Air Quality (GB/T 18883-2022), including source, exposure level, health effects, and the process and evidence basis for determining the limit value. It also proposed prospects for the direction for the implementation of the indoor NO₂ standard.
Humans ; Air Pollution, Indoor/adverse effects* ; Nitrogen Dioxide ; Air Pollutants/analysis* ; China ; Air Pollution/adverse effects*

At present, the death cases of simple asphyxiant gas acute poisoning are increasing sharply. Common asphyxiant gases in death cases include nitrogen, helium, carbon dioxide, methane, propane, laughing gas, etc. Simple asphyxiant gas has no affinity for biological matrices and escapes quickly, which puts forward new requirements for autopsy procedures, selection and collection of samples, laboratory analysis and identification. This paper reviews the research and development process of death cases caused by simple asphyxiant gas acute poisoning and put forwards the collection and analysis strategy of the samples in such cases. The most valuable biological samples in such cases should be lung tissues associated with the airways, followed by brain tissue and cardiac blood. Gaseous samples from the esophageal cavity, tracheal cavity, pulmonary bronchi, gastric and cardiac areas are also recommended as valuable samples. In the case of postmortem examination, the gas should be injected into gas sample bag directly. Biological materials such as tissue and blood should be directly sealed in head-space vials and analyzed by using the headspace gas chromatography-mass spectrometry.
Carbon Dioxide/analysis* ; Autopsy ; Gas Chromatography-Mass Spectrometry ; Methane/analysis* ; Nitrogen