BACKGROUND: Previous studies have suggested that exposure to air pollution may increase stroke risk, but the results remain inconsistent. Evidence of more recent studies is highly warranted, especially gas air pollutants. METHODS: We searched PubMed, Embase, and Web of Science to identify studies till February 2020 and conducted a meta-analysis on the association between air pollution (PM RESULTS: A total of 68 studies conducted from more than 23 million participants were included in our meta-analysis. Meta-analyses showed significant associations of all six air pollutants and stroke hospital admission (e.g., PM CONCLUSIONS Exposure to air pollution was positively associated with an increased risk of stroke hospital admission (PM
Air Pollutants/adverse effects* ; Air Pollution/adverse effects* ; Environmental Exposure/adverse effects* ; Hospitalization/statistics & numerical data* ; Humans ; Incidence ; Particle Size ; Particulate Matter/adverse effects* ; Stroke/mortality*

BACKGROUND: Among the environmental risk factors, household air pollution exposure from traditional cooking practices is one of the biggest killers globally, which mainly impacts developing countries where many families rely on traditional cooking practices. Although improved cookstove adoption is central to tackle this public health issue, the efforts to disseminate cookstove technologies have faced challenges, and the adoption rates are reported to be very low in many developing countries including Ethiopia. Therefore, this study aimed to determine the magnitude and identify potential factors that may act as facilitators or barriers to adoption from users' point of view. METHODS: As part of the wider stove trial project, a cross-sectional study was conducted among a total of 5830 households under randomly selected clusters. The required data were collected through face-to-face interviews, and a backward stepwise logistic regression analysis technique was applied to evaluate the effect of potential predictor variables on adoption using adjusted odds ratio (AOR) as measures of effect. RESULTS: The prevalence of adoption was found to be 12.3% (95% CI 11.5-13.2), and households headed by females (AOR 1.96; 95% CI 1.24-3.10), private house ownership (AOR 4.58; 95% CI 3.89-6.19), separate cooking location (AOR 1.84; 95% CI 1.49-2.78), fuel purchasing (AOR 2.13; 95% CI 1.64-2.76), health benefit (AOR 1.76; 95% CI 1.15-2.70), optimistic social interaction (AOR 1.81; 95% CI 1.46-2.26), traditional suitability (AOR 1.58; 95% CI 1.28-1.95), stove use demonstration experience (AOR 2.47; 95% CI 1.98-3.07), cheap price (AOR 2.48; 95% CI 1.91-3.21), availability (AOR 1.81; 95% CI 1.5-1, 2.17), fuel-saving benefit (AOR 1.63; 95% CI 1.18-2.24), and more durable stove (AOR 1.71; 95% CI 1.30-2.26) of cookstove played a significant role as facilitators to adoption. In addition, lower educational level of head (AOR 0.31; 95% CI 0.23-0.42) and fuel processing requirement (AOR 0.55; 95% CI 0.44-0.70) of cookstove were found to be barriers for adoption. CONCLUSIONS Extremely lower improved cookstove adoption was observed due to household- and setting-related, cookstove technology-related, user knowledge- and perception-related, and financial- and market development-related factors. Therefore, to gain successful adoption, implementers and policymakers should consider those important factors in the implementation of clean cooking solutions to the community.
Air Pollution, Indoor ; Cooking ; methods ; Cross-Sectional Studies ; Environmental Health ; Ethiopia ; Household Articles ; statistics & numerical data

BACKGROUND: The health hazards of indoor air pollution are well-established but studies of the health effects due to pollution from heating are rare. This study investigated the association of heating and disability for activities of daily living among Chinese middle-aged and elderly. METHODS: We used two consecutive surveys in a cohort of over 17,000 adults aged 45 or older, who were interviewed first in 2011-2012 and then in 2013. In these surveys, taking advantage of random survey time, we applied a random effects logit regression model that included an interaction between pollution-producing heating fuel and a dummy variable, which measured interview time based on whether or not it was heating season. RESULTS: Exposure to pollution-producing heating fuel was associated with a 39.9% (OR 1.399; 95%CI 1.227-1.594) and 71.0% (OR 1.710; 95%CI 1.523-1.920) increase in the likelihood of disability in activities of daily living (DADL) and disability in instrumental activities of daily living (DIADL), respectively. In heating season between year 2011 and 2013, moving from clean heating energy for heating to pollution-producing fuel was linked with an increase in the likelihoods having DADL and DIADL, with the OR of 2.014 (95%CI 1.126-3.600) and 1.956 (95%CI 1.186-3.226), respectively. However, disability increases due to change from clean energy to pollution-producing heating energy did not appear in advantaged education respondents. CONCLUSIONS We found that exposure to heating by burning of coal, wood, or crop residue was associated with disability in performing daily living activities. Health policymakers should take indoor pollution due to heating into consideration as it is a major determinant of activities of daily living in elderly people; especially, such policy should focus on elderly people who have disadvantaged education.
Activities of Daily Living ; Aged ; Aged, 80 and over ; Air Pollution, Indoor ; adverse effects ; analysis ; China ; Disabled Persons ; statistics & numerical data ; Female ; Heating ; adverse effects ; statistics & numerical data ; Housing ; Humans ; Longitudinal Studies ; Male ; Middle Aged

Adolescent ; Air Pollutants ; adverse effects ; Air Pollution ; adverse effects ; Asthma ; epidemiology ; Child ; Child, Preschool ; China ; epidemiology ; Environmental Exposure ; adverse effects ; Female ; Humans ; Infant ; Infant, Newborn ; Male ; Outpatients ; statistics & numerical data ; Particulate Matter ; adverse effects

BackgroundAsthma is a common chronic respiratory disease and is related to air pollution exposure. However, only a few studies have concentrated on the association between air pollution and adult asthma. Moreover, the results of these studies are controversial. Therefore, the present study aimed to analyze the influence of various pollutants on hospitalization due to asthma in adults.

MethodsA total of 1019 unrelated hospitalized adult asthma patients from Northeast China were recruited from 2014 to 2016. Daily average concentrations of air pollutants (particulate matter <2.5 μm [PM], particulate matter <10 μm [PM], sulfur dioxide [SO], nitrogen dioxide [NO], and carbon monoxide [CO]) were obtained from the China National Environmental Monitoring Centre website from 2014 to 2016. Cox logistic regression analysis was used to analyze the relationship between air pollutants and hospital admissions in adult asthma.

ResultsThe maximum odds ratio (OR) value for most air pollutants occurred on lag day 1. Lag day 1 was chosen as the exposure period, and 8 days before onset was chosen as the control period. Three pollutants (PM, CO, and SO) were entered into the regression equation, and the corresponding OR (95% confidence interval) was 0.995 (0.991-0.999), 3.107 (1.607-6.010), and 0.979 (0.968-0.990), respectively.

ConclusionsA positive association between hospital admissions and the daily average concentration of CO was observed. CO is likely to be a risk factor for hospital admissions in adults with asthma.

Air Pollutants ; toxicity ; Air Pollution ; adverse effects ; Asthma ; epidemiology ; Carbon Monoxide ; toxicity ; China ; Environmental Monitoring ; statistics & numerical data ; Female ; Hospitalization ; statistics & numerical data ; Humans ; Male ; Odds Ratio ; Particulate Matter ; toxicity ; Risk Factors ; Sulfur Dioxide ; toxicity

It is reported that depression has caused heavy disease burden across the world, with an possible association between ambient air pollution and depressive symptoms. In this paper, we reviewed relative literature in this field and summarized the research events on association between ambient air pollution and depression, both in China and abroad and found that the results of the existed studies were inconsistent, with most studies showing that there existed a positive correlation between the exposure of air pollution and depression, but few studies showing the negative correlation or no correlation between the two.
Air Pollutants/analysis* ; Air Pollution/statistics & numerical data* ; China ; Depression/epidemiology* ; Depressive Disorder ; Environmental Exposure/statistics & numerical data* ; Female ; Humans ; Particulate Matter/analysis* ; Research/trends* ; Residence Characteristics

The first national surveillance of COPD in mainland China was carried out in 2014, with the nationally representative data obtained. The national surveillance was significantly important for the monitoring of prevalence, risk factors, and changing trend of COPD among Chinese adults aged ≥ 40. The surveillance was also important in the development of national COPD prevention and control policy, the evaluation of prevention and control progress, the establishment of COPD comprehensive surveillance system, and the building of a professional COPD monitoring and prevention team. In this editorial, we briefly introduced the method and content of COPD surveillance, and reported the rate of spirometry examination and COPD awareness among adults aged ≥40 in China. We also analyzed the rate of main risk factors for COPD, such as tobacco smoking, occupational exposure to dust or chemical and indoor exposure to biomass or coal, and the distribution of high-risk population. This study provided fundamental data for the prevention and control of COPD in China.
Adult ; Aged ; Air Pollution, Indoor/statistics & numerical data* ; China/epidemiology* ; Chronic Disease/epidemiology* ; Dust ; Female ; Humans ; Male ; Occupational Exposure/statistics & numerical data* ; Population Surveillance/methods* ; Prevalence ; Pulmonary Disease, Chronic Obstructive/prevention & control* ; Risk Factors ; Smoking ; Spirometry ; Tobacco Smoke Pollution/statistics & numerical data*

Objective: To understand the prevalence of biomass fuel exposure in women aged ≥40 years in China during 2014-2015, and provide evidence for the prevention and control of bio-fuel exposure. Methods: All participants were selected from a national representative cross-sectional survey during 2014-2015 in the mainland of China. A multi-stage stratified cluster sampling strategy was used. A total of 37 795 women aged ≥40 years received a face-to-face questionnaire survey at 125 surveillance points in 31 provinces. The level of biomass fuel exposure was analyzed after complex sample weighting to represent the overall Chinese women aged ≥40 years. Results: A total of 37 777 women were included in the analysis. With complex weighting, the rate of biomass fuel exposure in Chinese women aged ≥40 years was 35.8% (95%CI: 29.6%-42.1%), the exposure rate was higher in rural women than in urban women (P<0.001). The biomass fuel exposure rate was highest in northeastern and lowest in northern areas of China (χ(2)=17.03, P=0.009). The estimated biomass fuel exposure rate decreased with the increase of educational level (P<0.001). Conclusion: The prevalence of biomass fuel exposure is high in women aged ≥40 years in China, especially in those in rural areas. The exposure level differs with age and area. Appropriate measures should be taken to reduce the level of biomass fuel exposure in Chinese women.
Adult ; Aged ; Air Pollutants/toxicity* ; Air Pollution, Indoor/statistics & numerical data* ; Asian People ; Biomass ; China/epidemiology* ; Cooking/methods* ; Cross-Sectional Studies ; Female ; Fossil Fuels/toxicity* ; Humans ; Inhalation Exposure/statistics & numerical data* ; Middle Aged ; Prevalence ; Risk Factors ; Rural Population ; Surveys and Questionnaires

Objective: To carry out a quantitative estimate that related to the effects of short-term exposure to PM(2.5) on all-cause mortality and emergency visits in China by using the systematic review and Meta-analysis. Methods: We selected all the studies published before March 2018 from China National Knowledge Infrastructure, Wanfang database, PubMed and EMBASE and data on relative risk (RR), excess risk (ER) and their 95%CIs: appeared in these papers were extracted. According to the differences in the size or direction (heterogeneity) of the results, we computed summary estimates of the effect values using a random-effect or fixed effect model. We also conducted the subgroup analysis and Meta-analysis to have assessed the selected studies for the evidence of study bias. Results: A total of 33 original studies, indexed in databases, were identified. Among those studies, 39 sets of data on mortality and 4 sets of data on emergency were valid to show that within the daily concentration range from 47.7 to 176.7 μg/m(3), for 10 μg/m(3) increases in PM(2.5) concentrations, it would increase the daily numbers of deaths by 0.49% (95%CI: 0.39%-0.59%) and 0.30% (95%CI: 0.10%-0.51%) for all-cause deaths and all-cause emergency-room visits, respectively. For subgroup analysis, the combined effect of PM(2.5) in causing short-term all-cause deaths in the northern areas (ER=0.42%, 95%CI: 0.30%-0.54%) seemed lower than that in the southern areas (ER=0.63%, 95%CI: 0.44%-0.82%). The combined effect of PM(2.5) concentration below 75 μg/m(3) (ER=0.50%, 95%CI: 0.37%-0.62%) was higher than that of PM(2.5) concentration ≥75 μg/m(3) (ER=0.39%, 95%CI: 0.26%-0.52%). Conclusion: Within the concentration range from 47.7 to 176.7 μg/m(3), short-term exposure to current level of PM(2.5) might increase both the all-cause daily mortality and daily emergency visits in China.
Air Pollutants ; Air Pollution/statistics & numerical data* ; China ; Databases, Factual ; Emergency Service, Hospital/statistics & numerical data* ; Environmental Exposure/statistics & numerical data* ; Female ; Humans ; Male ; Particulate Matter/toxicity* ; Time Factors

Objective: To describe the characteristics of cooking and heating fuel use in participants from the China Kadoorie Biobank (CKB) study. Methods: The CKB study recruited 512 891 adults from 10 areas in China during 2004-2008. Information on cooking fuel and heating fuel was collected using a questionnaire in baseline survey. The proportions of various fuels used in different areas, in different populations, and at different time points were calculated and compared. Results: Overall, 52.1% participants used solid fuel for cooking or heating. Rural areas had higher prevalence of solid fuel use than urban areas. The percentage of participants using solid fuel for cooking was 36.1% (coal 20.1%, wood/charcoal 16.0%); The percentage of participants using solid fuel for heating was 36.7% (coal 22.7%, wood/charcoal 14.0%). The prevalence of solid fuel use and the fuel type mainly used varied widely across 10 areas. The proportion of clean fuel use was lower in less-educated and lower-income people. Household coal and wood/charcoal use showed a declining trend, which was more remarkable in urban areas. Conclusion: There are still a large number of rural residents and people with low income relying on solid fuel in China, which is a serious public health concern.
Adult ; Air Pollution, Indoor ; China ; Coal ; Cooking ; Family Characteristics ; Humans ; Rural Population/statistics & numerical data* ; Urban Population/statistics & numerical data*