3.Non-linear association between long-term air pollution exposure and risk of metabolic dysfunction-associated steatotic liver disease.
Wei-Chun CHENG ; Pei-Yi WONG ; Chih-Da WU ; Pin-Nan CHENG ; Pei-Chen LEE ; Chung-Yi LI
Environmental Health and Preventive Medicine 2024;29():7-7
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 PM2.5, 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 PM2.5, 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. PM2.5, 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*
4.Investigation on "Fengshi (GB 31) for treating wind disorders".
Chinese Acupuncture & Moxibustion 2023;43(7):829-834
From the perspective of academic history, the paper reviews systematically the background and evolution of the understanding of "Fengshi (GB 31) for treating wind disorders". In the ancient literature, there are no direct relevant statement for the indication of Fengshi (GB 31) associated with "wind", and the consensus on "Fengshi for treating wind disorders" has not been made yet. Under the influence of acupoint theory in recent era and the syndrome differentiation for acupuncture treatment in modern time, this statement becomes a conventional understanding and acceptable gradually. Meanwhile, the understanding for Fengshi (GB 31) treating wind disorders tends to be generalized. Practically, Fengshi (GB 31) is applicable for the various disorders in the local and adjacent areas. It is necessary for modern acupuncture researchers to systematically collate, investigate and identify the knowledge content with a sense of familiarity so that the contemporary inheritance, development and application of traditional theoretical knowledge of acupuncture can be enhanced.
Wind
;
Acupuncture Points
;
Acupuncture Therapy
;
Consensus
;
Knowledge
5.Contribution of Ambient Air Pollution on Risk Assessment of Type 2 Diabetes Mellitus via Explainable Machine Learning.
Zhong Ao DING ; Li Ying ZHANG ; Rui Ying LI ; Miao Miao NIU ; Bo ZHAO ; Xiao Kang DONG ; Xiao Tian LIU ; Jian HOU ; Zhen Xing MAO ; Chong Jian WANG
Biomedical and Environmental Sciences 2023;36(6):557-560
6.Characteristics and Differences of Household Fine Particulate Matter Pollution Caused by Fuel Burning in Urban and Rural Areas in China.
Yu ZHANG ; Man CAO ; Xue-Yan HAN ; Tian-Jia GUAN ; Hui-Zhong SHEN ; Yuan-Li LIU
Acta Academiae Medicinae Sinicae 2023;45(3):382-389
Objective To explore the overall level,distribution characteristics,and differences in household fine particulate matter (PM2.5) 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 PM2.5 and urban and rural areas were extracted,and the stoves and fuel types were reclassified.The average concentration of PM2.5 in different areas was calculated and analyzed by nonparametric test. Results The average household PM2.5 concentration in China was (178.81±249.91) μg/m3.The mean household PM2.5 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 PM2.5 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 PM2.5 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 PM2.5 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 PM2.5 pollution caused by fuel combustion in China remains a high level.The PM2.5 concentration shows a significant difference between urban and rural households,and the PM2.5 pollution is more serious in rural households.The difference in the household PM2.5 concentration between urban and rural areas is more significant in northern China.PM2.5 pollution in the households using solid fuel,traditional stoves,and heating is serious,and thus targeted measures should be taken to control PM2.5 pollution in these households.
Humans
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Particulate Matter/analysis*
;
Air Pollution, Indoor/analysis*
;
Cooking
;
Environmental Exposure/analysis*
;
China
;
Rural Population
7.Building back better: resilient environmental and occupational health systems for the next global crisis.
Paul Michael R. Hernandez ; Harvey C. Domingo ; Rose Abigail E. Duarte ; Crystal Amiel M. Estrada ; Vivien Fe F. Fadrilan-Camacho ; Marian Fe Theresa C. Lomboy ; Gayline F. Manalang Jr. ; Victorio B. Molina ; Romeo R. Quizon ; Adrian Paul M. Agravante ; May B. Bas ; Jhon Rey C. Bayatan ; Hilda Antonio A. Nique ; Chester C. Ramos ; Dexter C. Tiro
Philippine Journal of Health Research and Development 2023;27(1):57-60
Even after two years, the COVID-19 pandemic still disrupts public activities and services as it exposes
vulnerabilities among the population and negatively impacts environmental conditions. The crisis also impeded
global progress toward achieving Sustainable Development Goals (SDG). The Fourth Environmental and
Occupational Health (EOH) Forum held virtually on November 25 to 26, 2021 provided a venue for learning
about local and international COVID-19 responses to help prepare for the next global crisis. Through the systems
thinking approach, the discussions prioritized analyses of leadership and governance, financing, human
resource, technologies, information management, and service delivery. These analyses focused on community
and/or workplace programs and services linked to air quality, waste management, psychosocial wellness, and
COVID-19 vaccination. The forum amplified calls for climate actions and public health improvement and
emphasized the significance of a collaborative, evidence-based, integrated public health response to a crisis
underscoring the apparent interdependence of the SDGs.
Environmental Health
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Occupational Health
;
Sustainable Development Goals
;
Covid-19
;
air quality
8.Association of greenness, nitrogen dioxide with the prevalence of hypertension among the elderly over 65 years old in China.
Jia Ming YE ; Jin Hui ZHOU ; Jun WANG ; Li hong YE ; Chen Feng LI ; Bing WU ; Li QI ; Chen CHEN ; Jia CUI ; Yi Qi QIU ; Si Xin LIU ; Fang Yu LI ; Yu Fei LUO ; Yue Bin LYU ; Lin YE ; Xiao Ming SHI
Chinese Journal of Preventive Medicine 2023;57(5):641-648
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*
9.Progress in research of deaths and disease burden of major chronic diseases caused by indoor and outdoor air pollution in China.
Lin Ling YU ; Pin Pin LONG ; Wei Hong CHEN ; Tang Chun WU
Chinese Journal of Epidemiology 2023;44(5):699-704
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
10.Determination of misoprostol in workplace air by high performance liquid chromatography.
Wei ZHAO ; Shuang SONG ; Hui Fang YAN
Chinese Journal of Industrial Hygiene and Occupational Diseases 2023;41(6):457-460
Objective: To establish a high performance liquid chromatography method for the determination of misoprostol in workplace air. Methods: From February to August 2021, the misoprostol in the workplace air was collected by glass fiber filter membrane, and theeluent was separated by C18 liquid chromatography column, determined by UV detector, and quantified by external standard method. Results: The quantitative lower limit of misoprostol determination method was 0.05 μg/ml, and the lowest quantitative concentration was 1.4 μg/m(3) (calculated by collecting 75 L air sample). The concentration of misoprostol has a good linear relationship between 0.05 to 10.00 μg/ml. The relative coefficient was 0.9998. The regression equation of the standard working curve was y=495759x-45257. The range of average recovery rates were from 95.5% to 102.8%. The intra-assay precision of the method was 1.2%-4.6%, and the inter-assay precision was 2.0%-5.9%. The samples could be stored stably for 7 days at 4 ℃. Conclusion: The high performance liquid chromatography method for the determination of misoprostol has high sensitivity, good specificity and simple procedure of sample pretreatment. It is suitable for the detection of misoprostol in the workplace air.
Chromatography, High Pressure Liquid/methods*
;
Misoprostol/analysis*
;
Air Pollutants, Occupational/analysis*
;
Workplace
;
Chromatography, Liquid


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