No abstract available.
Air Pollution*

Introduction: Traffic policemen are exposed to polluted air for a long time in high concentrations since they are working outside for most of the time which is bad for their health. Hence, this study was to determine the prevalence of respiratory symptoms and pulmonary function among traffic police in Kuala Lumpur and Johor Bahru. Methods: A pulmonary function test using spirometer was used to measure the pulmonary function of subjects. A questionnaire on respiratory symptoms translated version from IUALTD was used. The questionnaire includes background data, occupational and health history. Results: The traffic policemen were determined as having lower lung function parameters; low FVC% predicted (89.6%) and low FEV1% predicted (94%) due to their nature of work and the environment. Coughing was present at the highest (33.6%) among them, whereas wheezing was found the least (15.7%) of the workers. Conclusions: Findings from this study, indicated that there is a development of respiratory diseases and deterioration of lung function among traffic policemen. These baseline data can serve as a reference to the top management of traffic police officers in order to develop an occupational safety and health guideline for police officers as they are not covered by Occupational Safety and Health Act (OSHA, Act 514 1994).
Air pollution

This study applied for an evaluation of lead in individual samples at Ha Noi. The results showed that 2 of 30 samples (6.7%) have lead contents >0.7Mg/m3. Average, workshop workers are exposed to lead concentration at 2.5 times higher than that of bureau workers
Lead ; Air Pollution

The dust concentration through MP 10 machine was the highest level at the city's center (M2) on February - March. The general dust concentration was the highest at the area of the cement plant (M1) in March, April, August and November of the year, was higher 3-4 times than this of Vietnamese standard. The general acute respiratory disease and respiratory disease in children were the highest at the port industrial area (M3). The results showed the respiratory disease's dependant with the time in the year and the level of dust pollution with 2 peaks on summer and the dry season.
Air pollution ; public health

Air pollution in the traffic areas in Seoul during the winter season was studied. The average level of sulfur dioxide concentration was 0.24 ppm through the day. Lowest was 0.14 ppm at 2~4 P.M. when the highest vertical temperature gradient was indicated, and 0.33~0.29 ppm during 10 P.M. to 8 A.M. at night. Average level of dust was 4.65 mppcf (2.1~12.8 mppcf) and higher levels were shown at 10 A.M., 6 P.M. and 10 P.M. as 5.44, 4.73 and 5.01 mppcf respectively. The noise level in the main traffic areas was 73.5 db in the average during this survey, 75.1 db in the daytime and 65.6 db in the night (11 P.M. ~7 A.M.) in the average. Various air pollutants in auto-exhaust gases and noise of automobiles were studied, since those are main sources of nuisance in the traffic areas. Carbon monoxide in the "Corona" taxi, formaldehyde in the jeep, and carbon monoxide, formaldehyde and sulfur dioxide in the "Senara" taxi were measured respectively in high concentration and there was no significant difference in other gases among the various type of vehides. As regards average Overall noise level at ordinary driving speeds, heavy vehicles emitted much more noise (30 KPH) (82.2~83.5 db) than light vehicles such as taxi (40~5O KPH) (71.5-80.2 db). The noise level when starting heavy vehicles was higher 88.5 db(94.2 phon) on the average and that of light vehicles was lower 69.4 db (76.2 phon). There were two types of automobile horn noise in the octave band; one was in 1,000 cps and the other 2,000~4,000cps. The average horn noise level of automobiles was 98 db (107.8 phon), with 106 db (11.05 phon) maximum and 88.8db (99.5 phon) minimum. In the epidemiological study of CO poisoning in urban areas, there were 260 deaths out of 532 patients in 201 incidents of poisoning occurring on a total of 128 days during January 1964 to Dec. 1966. The concentration of co in the main living rooms and kitchens was detected as 58 and 112 ppm respectively, and the level of carboxyl-hemoglobin in the blood of housewives was relatively high, 11.2% on the average. In outside air maximal concentration of CO was 80 ppm in Shinchon-Dong an urban area.
*Air Pollution ; Korea ; *Noise

No abstract available.
Air Pollution* ; Asthma*

No abstract available.
Air Pollution, Indoor*

Air Pollution ; Humans

Introduction: The Lancet Countdown used Global Burden of Disease (GBD) data to track mortality from diseases influenced by climate change. The Philippines is one of the most vulnerable nations to climate change. Objective: This study aimed to provide summative data on climate change and health-environmental factors based on several large databases. It looked into the correlation of climate change to selected health variables and correlated environmental factors to health chosen variables in the Philippines. Methods: The database was assembled through a compilation of different secondary data. Climate change variables were acquired from the Global Burden of Disease (GBD 2017) Study on Health-related Sustainable Development Goals Indicators from 1990 to 2030. The data for the Philippines were obtained. These indicators include air pollution mortality, disaster mortality, household air pollution, malaria incidence, mean PM2.5, non-communicable disease mortality, neglected tropical diseases mortality, unimproved sanitation, and unsafe water. The resulting database was analyzed using exploratory data analysis techniques with descriptive statistics and line graphs to analyze trends over the years. Then Pearson correlation analysis was done to explore the linear relationship between health indicators, climate indicators, and environmental indicators. Results: The study results showed that the trend in the Philippines for air pollution mortality, household air pollution, malaria incidence, and neglected tropical diseases mortality is in a downward direction. However, non-communicable disease mortality was constantly increasing from 41.99 in 1990 to 55.00 in 2016. Meanwhile, the mean temperature is significantly negatively correlated to household air pollution, malaria incidence, and neglected tropical diseases and significantly correlated with non-communicable diseases. Also, NOAA adjusted sea level is significantly positively correlated with air pollution mortality, malaria incidence, disaster mortality, and non-communicable diseases. It is negatively correlated with malaria incidence and neglected tropical diseases prevalence. Global mean CO2 is significantly negatively correlated with household air pollution, malaria incidence, and neglected tropical diseases prevalence. On the other hand, it was significantly and positively correlated with air pollution mortality and non-communicable diseases mortality. Household air pollution health risk was significantly positively correlated to mean PM2.5 levels in the Philippines. Unimproved sanitation was positively correlated with household air pollution, malaria incidence, and neglected tropical disease prevalence. Conclusion As recordings of heat index increased, there was a correlation with NCD, Malaria, Disaster, and NTD infection mortality. With the evidence of the correlation of increasing temperature and pollution to health, the urgency to focus on addressing these problems was present in this study. Further research may help in policymaking to target drivers of pollution which affect extreme climate changes.
Climate Change ; Air Pollution

Introduction: Air pollution is an emerging global concern, especially in the Western Pacific and South-East Asia regions; smoke-belching and emissions from vehicles on the road are associated with air pollution. In the Philippines, the Clean Air Act of 1999 was passed to address the growing concern for poor air quality to cover mobile sources such as vehicles. Objective: This study aimed to come up with a descriptive analysis of emissions of vehicles as this has an impact on air pollution and road-environmental safety. Methodology: This study analyzed a secondary database of vehicle emissions violation cases from the Land Transportation Organization (LTO) office in Region 11, the Philippines. The study was retrospective in nature and involved a review of traffic violation cases. The data were encoded and analyzed using the SPSS ver. 23 software program. Results: Two hundred eighty-two vehicle emission standard violations were recorded by the Land Transportation Office (LTO) from 2018 to 2019. Most cases were from 2018 (72.7%), with January (30.9%) recorded the highest number of unsafe vehicle emission standard violation cases. Of the apprehended drivers, the majority (88.3%) were of the driving professional license category. All the drivers (100.0%) were caught due to the violation of smoke-belching (V16). In comparison, a small proportion was also seen as cases of driving without a valid driver’s license or conductor’s permit (1.8%) and failure to carry driver’s license/OR/CR (0.8%). All the violators were caught on daytime working and rush hours, between 6:00 am and 5:00 pm. More than half of the apprehended drivers’ vehicles (55.3%) were classified as for hire, while the remaining (41.8%) were classified as private vehicles. The majority (99.3%) of the vehicles did not pass the first emissions standards. Meanwhile, the most common vehicles caught for unsafe emissions were UV vehicles (n = 239). The vehicles caught for dangerous emissions were more than ten years old, with one-third (35.9%) of the vehicles were between 10 to 19 years old. The mean years of use or age of the vehicle were 15.724 ± 8.553 years. Opacity results for the first emission testing were 6.691 ± 2.404, while the Average Light Absorption (ALA) coefficient for the second emissions testing was 1.102 ± 0.577. Conclusion This study provided an overview of unsafe vehicle emissions within an urban city and suggested a need for more robust monitoring of vehicle emissions within safe limits. Vehicles that do not meet safety standards should not be allowed on the road, and disposal of old inefficient running vehicles may be beneficial in reducing dangerous air pollution.
Vehicle Emissions ; Air Pollution