Air Pollution, Indoor ; statistics & numerical data ; Hong Kong ; Noise, Occupational ; statistics & numerical data ; Restaurants ; statistics & numerical data ; Temperature

OBJECTIVETo determine the extent of secondhand smoke exposure in China, and to explore the potential associated factors.

METHODSThis study was a nationally representative household survey examining secondhand smoke exposure of non-institutionalized men and women aged 15 and older using a global standardized geographically clustered sample design. A total of 13,354 people completed the individual questionnaire with questions on gender, age, educational level, residence, profession, potential factors associated with secondhand smoke exposure, and workplace smoking policy. The data were used to determine whole population estimates of secondhand smoke exposure.

RESULTSAmong non-smokers aged 15 years and older, it was estimated that 72.4% (556 million) were exposed to secondhand smoke, with 52.5% (292 million) exposed to secondhand smoke daily. The prevalence of secondhand smoke exposure was 74.1% for men, 71.6% for women, 70.5% for urban populations, and 74.2% for rural populations. The rates were 67.3%, 63.3%, and 72.7% respectively, within the household, indoor workplaces and public places. Secondhand smoke exposure was significantly reduced in workplaces with a smoking ban but not in workplaces with a partial smoking ban.

CONCLUSIONAlthough China has made some progress toward a smoke-free environment there remains a high degree of exposure to secondhand smoke.

Air Pollution, Indoor ; China ; epidemiology ; Female ; Health Surveys ; Humans ; Male ; Occupational Exposure ; Population Surveillance ; Tobacco Smoke Pollution ; statistics & numerical data

The daily pollen counts in the air of Seoul, Korea were measured using a rotorod sampler from June 1990 to July 1992. Two distinct pollen periods were noted: tree pollens such as alder, poplar, willow, oak and pine appeared in the spring from March to May, and weed pollens, such as Artemisia spp., Ambrosia spp. and Hop japanese appeared in the autumn from August to September. Various kinds of grass pollen appeared from June to September. The study indicated that there were two pollen peaks in Seoul composed of tree pollens in spring and weed pollens in autumn.
Air Pollution/*statistics & numerical data ; Allergens/*analysis ; Humans ; Korea ; Plants ; *Pollen/classification ; Seasons

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

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*

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

Tightening of air quality standards for populated urban areas has led to increasing attention to assessment of air quality management areas, where violation of air quality standards occurs, and development of control strategies to eliminate such violation of air quality standards. The Quetta urban area is very densely built and has heavy motorized traffic. The increase of emissions mainly from traffic and industry are responsible for the increase in atmospheric pollution levels during the last years. The dust examined in the current study was collected by both deposit gauge and Petri dish methods at various sites of Quetta Valley. Smoke particles were obtained by bladder method from the exhausts of various types of motor vehicles. The concentration of lead found in the smoke ranged from 1.5x10(-6) to 4.5x10(-6).
Air Pollution ; analysis ; Cities ; statistics & numerical data ; Dust ; analysis ; Environmental Monitoring ; methods ; Pakistan ; Particle Size ; Smoke ; analysis ; Vehicle Emissions ; analysis

OBJECTIVEChinese allergic subjects have high levels of sensitization to house dust mite (HDM) and other indoor allergens. This study quantifies common indoor allergen levels in Chinese households.

METHODSDust samples were collected from nine cities. Major allergens Der p 1 and Der f 1 from Dermatophagoides pteronyssinus and D. farinae, and specific antigens of Blomia tropicalis, Tyrophagus putrescentiae, Acarus siro, and cockroach species Blattella germanica and Periplaneta americana were measured by ELISA.

RESULTSHDM allergens were found in dust samples from bedding in 95% of the Chinese households. The median levels varied from <0.006 to 9.2 µg/g of dust, depending on the city. The percentages of households having HDM allergen levels associated with the risk of developing allergy sensitization and asthma were 65% and 25%, respectively. Specific antigens of the storage mite and cockroach were only found in samples from the southern and tropical regions of China. Levels of mite allergens were generally higher in samples from bedding compared to samples from the living room, even for storage mites, whereas levels of cockroach antigens were higher in the living room samples.

CONCLUSIONHDM allergens are present in bedding dust samples from most Chinese households. Cities in southern and central China have relatively high levels of HDM major allergens compared to cities in northern and western China. Antigens of storage mites and cockroaches are not as common as HDM allergens.

Air Pollution, Indoor ; statistics & numerical data ; Allergens ; chemistry ; Animals ; Bedding and Linens ; China ; Cockroaches ; Dust ; analysis ; Housing ; Pyroglyphidae ; Seasons

OBJECTIVETo assess the effects of ambient air pollutants on hospital outpatient visits for allergic disease and pollinosis.

METHODSThe monitoring data of daily air pollution (SO(2), NO(2) and PM(10)) in 8 national monitoring and controlling sites of Beijing air quality, airborne pollen in 4 monitoring sites of Beijing, and daily meteorological data, along with the daily numbers of outpatients visits for allergic disease and pollinosis at the Allergy Department of Beijing Shijitan Hospital from April to September in 2004 were collected. Associations between the levels of air pollutants and outpatient visits for allergic disease and pollinosis were estimated by time serial analysis using a generalized addictive model (GAM), considering lag effect and the influence of multipollutants.

RESULTSDuring the study period, the average daily ambient concentrations of SO(2), NO(2) and PM(10) were (20.9 ± 12.9), (58.6 ± 13.6) and (126.8 ± 64.1) µg/m(3), respectively. The mean daily pollen count was (163.8 ± 209.0) grains/1000 mm(2), while the average daily numbers of doctor visits for allergic disease and pollinosis were (16.3 ± 5.3) and (3.5 ± 5.0), respectively. Time serial analysis showed that significant positive associations were found between levels of airborne pollen and doctor visits, with an excess risk (ER) of 2.44% (95%CI: 0.75% - 4.13%)for allergic disease and 6.58% (95%CI: 3.82% - 9.34%) for pollinosis per 100 grains/1000 mm(2) increase in pollen, in single-pollutant models. There were associations between ambient air pollutants (SO(2), NO(2), PM(10)) and doctor visits with lag effects. A 10 µg/m(3) increase in NO(2) was associated with a 3.14% (95%CI: 0.42% - 5.85%) increase in doctor visits for allergic disease at lag 6 d. For pollinosis, the highest ER was observed for 10 µg/m(3) increases in SO(2) at lag 1 d, NO(2) at lag 6 d, PM(10) at lag 3 d. However, this association was not statistically significant (RR (95%CI) were 1.0460 (0.9640 - 1.1280), 1.0325 (0.9633 - 1.1017), 1.0079 (0.9942 - 1.0217), respectively). The associations enhanced slightly in multi-pollutant models with an ER of 2.56% (95%CI: 0.80% - 4.31%) for allergic disease and 6.81% (95%CI: 3.91% - 9.71%) for pollinosis per 100 grains/1000 mm(2) of pollen.

CONCLUSIONSOur results suggest that level of airborne pollen may have a stronger effect than ambient air pollutants on allergic disease and pollinosis.

Air Pollutants ; analysis ; Air Pollution ; analysis ; Environmental Illness ; prevention & control ; Environmental Monitoring ; Humans ; Outpatient Clinics, Hospital ; statistics & numerical data ; Rhinitis, Allergic, Seasonal ; prevention & control

OBJECTIVETo determine the best statistical distribution of concentration data of major air pollutants in Shanghai.

METHODSFour types of theoretic distributions (lognormal, gamma, Pearson V and extreme value) were chosen to fit daily average concentration data of PM10, SO2 and NO2 from June 1, 2000 to May 31, 2003 in Shanghai by using the maximum likelihood method. The fit results were evaluated by Chi-square test.

RESULTSThe best-fit distributions for PM10, SO2 and NO2 concentrations in Shanghai were lognormal, Pearson V, and extreme value distributions, respectively.

CONCLUSIONThe results can be further applied to local air pollution prediction and control, e.g., the probabilities exceeding the air quality standard and emission source reduction of air pollutant concentration to meet the standard.

Air Pollutants ; analysis ; Air Pollution ; statistics & numerical data ; China ; Environmental Monitoring ; Nitric Oxide ; analysis ; Particle Size ; Statistical Distributions ; Sulfur Dioxide ; analysis