Air pollution spoiling health of traffic cops in Mangaluru, confirms test

[email protected] (CD Network)
May 9, 2016

Mangaluru, May 9: The pulmonary function test (PFT) conducted on the traffic police by the Anti-Pollution Drive (APD) Foundation has showed a significant correlation in lung functions and exposure to vehicular pollutants.

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According to the results of the test and the subsequent study, reduction in air pollution can reduce the number of traffic police falling prey to restrictive lung disease. Reduction in exposure by use of protective gears like pollution mask and reduction in the duration of exposure in a day would also help in improving their lung function. Monitoring vehicles, which are on roads for over 10 years for pollution, would also help in minimising the level of pollution, the foundation said in a press release.

The PFT by computerised spirometer, measuring FVC, FEV1, FEV1/FVC, PEFR, and FEF25-75 per cent, was measured by pulmonologists from the Department of Respiratory Medicine at Yenepoya Medical College.

The test showed that significant number of traffic personnel have affected lungs. The results indicated that 22.3 per cent of the policemen having five and less than five years of service are showing signs of restrictive lungs. About 26.3 per cent policemen, having more than five years' experience, are showing restrictive lung capacity.

The Foundation which has germinated from this city has observed that Mangaluru is one of the rapidly growing cities in the country and the growth is associated with an enormous increase in vehicular traffic emitting exhausts and polluting the atmosphere. Airborne dust plays a major part in the overall atmospheric pollution and motor vehicle emissions are the most significant sources of pollution in an urban environment. Road traffic produces volatile organic compounds, suspended particulate matter, oxides of sulphur, oxides of nitrogen, and carbon monoxide which makes adverse health effects on the exposed population, it said.

It said the traffic-related air pollution is a day-to-day health hazard to individuals who commute to offices, school and colleges. Several students use the public transportation or the transportation provided by the educational institutes and they are exposed to hazardous toxins in the air. Schoolchildren, who are exposed to pollution at a tender age, develop health hazards is their respiratory system due to automobile exhaust. Every year, the percentage of asthmatic children is increasing in urban areas. Vehicular pollution is the sole pollution contributing elements in a large scale within city limits affecting residents, school students and officer goers.

APD?Foundation Founder Abdullah A Rehman said observing respiratory complaints among the retired traffic police would help in studying the long-term effects of the occupation. Through PFT results, APD further wants to study the health impacts of pollution in Mangaluru and related issues.

He added, “The foundation will be able to identify the impact on the most-affected group based on the PFT results. We will then identify the location and area that they are working and start monitoring the pollution levels in these areas. We will also use this information to work towards categorical mitigation.”

ACP (Traffic) Uday Nayak said the tests conducted by the foundation have helped the police a lot. “It is good to know the health condition of the police, especially the traffic police personnel,” he said and added that the hospitals have offered to provide free treatment to the affected police personnel.

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Comments

Swetha
 - 
Monday, 9 May 2016

really sad to see traffic police in this heavy heat climate.

Priyanka
 - 
Monday, 9 May 2016

my father is working in police department, i m very much worried about his health.

Saleem
 - 
Monday, 9 May 2016

really effecting health of traffic police, must wear musk all the time while on duty.

Manikanta
 - 
Monday, 9 May 2016

yahh rain, air pollution, heat make them sick.

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However, Dr Sudhakar deleted the tweet from his account, soon after he was criticised for sharing such a picture, when the country is facing a health crisis.

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News Network
May 13,2020

Bengaluru, May 13: Former chief minister and senior Congress leader Siddaramaiah on Wednesday called the measures announced by Finance Minister Nirmala Sitharaman as 'disastrous' and said it is 'non-existent' in terms of benefits to poor migrants, labourers, contract employees and farmers.

"The first set of measures announced by @FinMinIndia @nsitharaman, after 8 PM speech by @narendramodi, is disastrous & non-existent in terms of benefits to poor migrants, labourers, contract employees, farmers, etc," Siddaramaiah said in a tweet.

The Congress leader said most of the intended benefits may not reach the end recipient.

This comes a day after Prime Minister Narendra Modi announced a Rs 20 lakh crore special economic package to revive the COVID-19 hit economy.

"The contribution by the government for the schemes announced are mostly notional and less of actuals and the devil lies in the detail," the Congress leader said in another tweet.

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Further questioning the Centre on 'ignoring the spending for boosting consumption', Siddaramaiah said, "The government is interested in capital infusion in the form of credits but totally ignorant of the actual spending that needs to be done to boost consumption. How can credit be considered as government spending?"

Siddaramaiah said the next set of measures should benefit the marginalised sections.

"Will be looking forward to next set of measures & I hope it will be something to benefit the marginalised sections. Direct benefits to the poorest sections will help them survive this pandemic. COVID-19 fight should not be another perception battle but a real one," he added in another tweet.

Sitharaman earlier announced Rs 3 lakh crore collateral-free automatic loans for businesses, including MSMEs.

Besides this, she also stated that to provide stressed MSMEs with equity support, the government will facilitate the provision of Rs 20,000 crore as subordinate debt.

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