Title: Association of outdoor air pollution and chronic respiratory morbidity in a town of northern India
1Association of outdoor air pollution and chronic
respiratory morbidity in a town of northern India
Rajesh Kumar, Manoj Sharma, Ashok Srivastva,
J.S.Thakur, H.K. Parwana, S.K.
Jindal Deptt. of Community Medicine and
Pulmonary Medicine, PGIMER,
Chandigarh, Punjab Pollution Control Board,
Patiala
2Broad Objective The study was aimed to evaluate
effects of outdoor air pollution on chronic
respiratory morbidity.
- Specific Objectives
- To monitor ambient air quality.
- To estimate the prevalence of respiratory
- morbidity and lung functions.
- To determine association between air pollution
and chronic respiratory morbidity.
3Study Area
Mandi Gobindgarh
Morinda
4Material And Methods
- Study Design-Cross-sectional study
- Study period- 2000-2001
- Sampling method- Cluster sampling
- Random selection of first household and
then next nearest household. - Sample size Total -4000
- Study area-2000
- Reference area-
2000 - Sampling site-
- Mandi Gobindgarh 1. Guru ki Nagri
2. Prem Nagar
- Morinda 1. Rest House
Colony 2. Purana Bazar -
5Study Tools
- Questionnaire
- Respiratory symptoms and diseases, SES
(Kuppuswami - scale), Household environment, Smoking history,
- Occupational history
- Physical Examination
- Height (cm.), Weight (kg.), Spirometery by
portable - Ventilometer (FVC, FEV1, PEFR, FEV1/FVC)
- Exposure Monitoring
- Air Sampling-weekly for two years
- High Volume Air Sampler-Twelve hourly- SPM, NOx,
SOx, O3 - Organic Vapors Sampler- Eight hourly- CO
- Meterological data
- Wind velocity, Temperature and humidity
6Statistical Analysis
- Concentration of SPM, PM10(?g/m3) SOx, NOx, CO
and O3 was summarised as means and standard
deviation. - Prevalence of respiratory symptoms spirometric
airflow limitation - Chi-square test
- Students t-test
- Logistic regression analysis
- Interaction between the air pollution and smoking
was also included in the models.
7Annual Averages of SPM, NOx and SOx in Mandi
Gobindgarh
Pollutants (?g/m3)
- The data collected by the pollution control board
shows that the quality of the ambient air in the
study town was poor for a numbers of years and
most of the migrant workers had resided in the
town for considerable period of time.
8Participation rate of study subjects in study and
reference town
9Air Pollution Levels
Plt0.05
10Socio-demographic and life style characteristics
of study population
11Prevalence of Respiratory Symptoms
Morinda
Mandi Gobindgarh
Plt0.05
12Prevalence (per 100) of Spirometric defects
Plt0.05
13Association between air pollution and chronic
respiratory symptoms and spirometric airflow
limitation
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15Summary
- High level of SPM in study town.
- Chronic respiratory morbidity was higher in the
study town. - Smoking, Non-LPG fuel users, Inadequate lighting,
Inadequate Ventilation, Dampness and Occupational
dust exposure was higher but SES was lower in
study town. - Logistic regression analysis reveled that high
SPM level is responsible for higher respiratory
morbidity even after controlling the effect of
age, sex, SES, Smoking, Non-LPG fuel, Inadequate
lighting and ventilation, Dampness, Occupational
dust exposure. - Conclusion
- It is concluded that people of Mandi Gobindgarh,
which had quite high SPM level, have
significantly more symptoms of cough, phlegm,
dysponea, wheeze and obstructive defects as
compared to Morinda which had all air pollutants
below permissible level.
16THANK YOU