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An Epidemiological Study on Effects of Air Pollutants on
Respiratory Morbidity among Adults
By
MANOJ KUMAR
Guides
Prof. Rajesh Kumar
Prof. S.K. Jindal
Dr. Madhu Khullar
Air pollution is causing immense concern in India.
STATE/CITY RSPM SPM
Hyderabad
Delhi
Ahmedabad
Banglore
Mumbai
Chennai
Kolkata
High
Critical
Critical
High
High
Moderate
Critical
High
Critical
Critical
High
Critical
Moderate
Critical
Pollution level RSPM SPM
Low (L) 0-30 0-70
Moderate (M) 30-60 70-140
High (H) 60-90 140-210
Critical (C) >90 >210
Ambient Air Quality in Major Cities During 2002
Effect of London Smog
Acute Effects of Air PollutionAuthors Place Effects
Schwartz et al.,1992 London Increase in particulate of 100 g/m3 was associated with 7% increase in mortality.
Schwartz,1993 Southern U.S. 1.1 RR was estimated for 100 g/m3 of inhalable particles levels.
Sunyer et al., 1993 Barcelona An increase of 25 g/m3 in SO2 produced 6 to 9% change in emergency room admissions for COPD.
Burnett et al., 1995 Ontario Canada
A 13 g/m3 increase in sulphates was significantly associated with 3.7% increase in respiratory and 2.8% increase in cardiac admissions.
Damia et al., 1999 Spain There were approximately 3.5 admissions a week per 34.6 g/m3 change in black smog.
Pande et al., 2002 AIIMS,
New Delhi
Acute coronary events to the emergency room admissions increased by 24.3% with increase in air pollution more than permissible limits.
Chronic Effects of Air PollutionAuthors Place Effects
Deteles et al., 1987 Los Angeles Association between PM10 Level & increase in symptoms of respiratory diseases.
Spektor et al., 1988 New Jersey Daily O3 exposure & humidity were the most explanatory variable for change in lung functions.
Ostro et al., 1991 Denver Cough was associated with foreign particles & shortness of breath.
Wong et al., 1999 Hong Kong Living in the polluted area was associated with poor respiratory health.
Zamp et al., 1999 Switzerland NO2, TSP, PM10 was significantly associated with the reported prevalence of cough or phlegm and breathlessness.
Peter et al., 1999 California Wheeze prevalence was associated with levels of SO2 and NO2.
Frischer et al., 1999 Germany Long term ambient ozone exposure might negatively influence lung function growth.
Kamat et al., 1992 Bombay Respiratory symptoms were higher in the polluted area i. e., cough 12% and dysponea 17%.
Chhabra et al., 2001 New Delhi Chronic cough, chronic phlegm & dysponea were significantly common in higher pollution zone, bronchial asthma, COPD & lung function were better in low pollution zone.
AimThe study was aimed to evaluate effects of air
pollutants on respiratory morbidity among adults
Objectives To monitor ambient air quality.To estimate the prevalence of respiratory
morbidity and lung functions. To determine association between air
pollution and respiratory morbidity.
Material And Methods
Study Design-Cross-sectional study.
Household survey for morbidity.
Ambient air quality monitoring.
Study Area Mandi Gobindgarh
Morinda
Study area Reference area
Area of 32 Km2
Area of 7 km2
Population 55,400
Population 21,800
Steel rolling mills and foundries.
One sugar mill only.
Mandi Gobindgarh
Morinda
Sampling Sites
Mandi Gobindgarh
Guru ki Nagri
Prem Nagar
Morinda
Rest House Colony
Purana Bazar
Map of Mandi Gobindgarh
C HANDIG ARH
Site No . 1 - Re st Ho use C o lo ny
PURANA BAZAR
C HO C K BAZAR
LUD HIANA
REST HO USE C O LO NY
Site 2 - P urana Bazar
Map of Morinda
Sampling Site
Guru ki Nagri
Prem Nagar
Cluster Sampling
Random selection of household and then next nearest household till 500 individuals enrolled from each of study site.
Sample DesignAge Groups
(years)Male Female
20-29 100 100
30-39 100 100
40-49 100 100
50-69 100 100
70+ 100 100
Total 500 500
Study ToolsQuestionnaire Respiratory symptoms and diseases, SES (Kuppuswami scale), Household environment, Smoking history, Occupational historyPhysical Examination Height (cm.) Weight (kg.) Spirometery by portable ventilometer
FVC, FEV1, PEFR, FEV1/FVC%
Exposure MonitoringAir Sampling-weekly for two years
SPM, NOx, SOx, O3 High Volume Air Sampler Twelve hourly CO Organic Vapors Sampler Eight hourly Meterological data Wind velocity, Temperature and humidity
Data CollectionEligible population Mandi Gobindgarh Morinda
Male
(N=535)
(%)
Female
(N=523)
(%)
Male
(N=524)
(%)
Female
(N=520)
(%)
Interviewed
Non-Respondents
Refused
Old age
Mentally retarded
Away from their family
93.8
2.4
0.4
-
0.2
95.8
2.0
-
-
-
95.6
1.2
-
0.3
-
96.1
2.6
-
-
-
Spirometery
Non-Respondents
Old age
Refused
Mentally retarded
Paralysis
Inability to stand
90.8
1.4
3.2
-
0.6
-
90.4
0.2
4.6
-
0.6
91.6
1.0
1.8
0.4
-
0.4
94.3
0.6
2.9
-
-
-
Variable Definitions Cough: If an individual usually coughs from
his/her chest first thing in the morning. Phlegm: If an individual usually bring up
phlegm from his/her chest first thing in the morning.
Dysponea: Shortness of breath when walking up a slight hill or others people of his/her age on the level ground or at his/her own pace on level ground or bath, washing or dressing .
Wheezing: Whistling sound while breathing.
Chronic bronchitis: If an individual usually has any cough or sputum from his/her chest during the day or night, twice or more, in winter for more than three months in a year, for two consecutive years.
Overcrowding: The degree of overcrowding can be expressed, as the number of persons per room, i.e., number of persons in the household divided by the number of rooms in the dwelling.
Year Of Residence: Those who were residing in the town for less than 10 years and others for more than 10 years in the town.
Dust Exposure At Place of Work Mild: idle, shopkeepers, businessmen,
secondary education teaching professionals, clerks, sales retail assistants, tailor etc.
Moderate: goldsmith, cobbler, electrician, fitter, heavy good vehicle driver, house keeper, halwai, maid servant, farmer, dhaba worker or those who are taking care of animals.
Severe: smiths and forges, sheet metal workers, labours in other construction modes, labour in building and wood working, road sweeper, cleaners, motor mechanics, petrol pump worker.
Algorithm For Interpretation Of Spirometry Data
Categorize Using FVC
Mild FVC >60%Moderate FVC 40-60%Severe FVC <40%
Categorize Using FEV1
Mild FEV1 >60%Moderate FEV1 40-60%Severe FEV1 <40%
FEV1/FVC LLN for FEV1/FVC FEV1/FVC < LLN for FEV1/FVC
FVC LLN for FVC FVC <LLN for FVC
NORMAL STUDY RESTRICTIVE DEFECT OBSTRUCTIVE DEFECT
Comparison of FEV1/FVC to its LLN
Statistical Analysis Concentration of SPM, SOx, NOx, CO and O3
was summarised as means and standard deviation.
Prevalence of respiratory symptoms & spirometric airflow limitation
Chi-square test Student’s t-test Mantel-Haenszel summary odds ratio Logistic regression analysis Interaction between the air pollution and smoking
was also included in the models.
Socio-demographic Characteristics of Study Population Variables Mandi Gobindgarh
N=1003 (%)
Morinda
N=1001 (%)
Higher SES
Current Smoking
Passive Smoking
Dust Exposure
Non-LPG fuel use
Inadequate lighting
Inadequate ventilation
Dampness in house
Mattress
Carpet
Presence of insects
Overcrowding
3.0*
31.8*
36.0*
40.7*
65.5*
17.7*
26.3*
12.4*
81.1
54.5
96.3
69.7
11.8
21.0
13.2
26.7
42.1
12.0
17.8
7.2
74.3
47.6
95.3
76.5
*P<0.05
Air Pollution Levels
Ambient Air Pollutants
Mandi Gobindgarh
Morinda
N Mean N Mean
SPM (g/m3)
NOx (g/m3)
SOx (g/m3)
O3 (ppm)
CO (g/m3)
115
115
115
83
115
890.3*
27.4*
29.6*
0.05*
962.9*
110
110
110
82
107
291.3
7.4
8.9
0.03
113.9
*P<0.05
Prevalence of Respiratory Symptoms
MALES FEMALES25.6 25.2
21.9
10.914.4
12.615
6.4
0
5
10
15
20
25
30
14.5 13.6
32.3
109.9 10.6
24.9
5.2
0
5
10
15
20
25
30
35
Cough
*
Phlegm
Dyspon
ea*
Whee
zing*
Morinda Mandi Gobindgarh
*P<0.05
Prevalence of Respiratory Diseases
17.9
5.12.9
6.6
2 2
02468
101214161820
10.6
2 1.4
5.1
0.80.1
0
2
4
6
8
10
12
Ch. Bro
nchiti
s*
Asthm
a
Tubercu
losis
Morinda Mandi Gobindgarh
MALE FEMALE
*P<0.05
Prevalence of Spirometric Abnormalities
Spirometric
Abnormalities
Male Female
Mandi Gobindgarh N=502 (%)
Morinda
N=501 (%)
Mandi Gobindgarh N=501 (%)
Morinda
N=500 (%)
Obstruction 29.9* 15.6 25.2* 12.4
Restriction 28.9 23.8 14.7 12.8
*P<0.05
Prevalence of CoughVariables Mandi Gobindgarh
(%)Morinda
(%)Age (years)
< 45
45
Smoking
Ever
Never
Fuel use
Non-LPG
LPG
Residence duration (years)
> 10
10
Dust Exposure
Mild
Moderate to Severe
Factory worker
Yes
No
Migrant
Yes
No
15.4*
26.8*
27.8*
16.1*
21.9*
16.5*
19.5*
20.3*
18.5*
22.4*
20.0*
20.0*
22.7*
17.3*
8.6
17.0
22.2
9.1
14.0
10.9
10.4
12.9
11.2
15.0
-
12.2
12.8
12.0
*P<0.05
Prevalence of Spirometric ObstructionVariables Mandi Gobindgarh (%) Morinda (%)Age (years)
< 45
45
Smoking
Ever
Never
Fuel use
Non-LPG
LPG
Residence duration (years)
> 10
10
Dust Exposure
Mild
Moderate to Severe
Factory worker
Yes
No
Migrant
Yes
No
24.1*
33.1*
32.9*
24.7*
28.5*
25.3*
27.0*
24.9*
27.8*
27.2*
26.5*
7.4*
31.2*
23.4*
12.1
16.5
26.4
10.1
19.7
9.9
14.9
13.2
12.2
19.0
13.9
-
12.3
14.4
*P<0.05
Association of Ambient Air Quality with Cough(Logistic regression analysis)
Variable Odds Ratio
95% C.I. P-Value
Lower Upper
Poor ambient air quality town
Age (years)
Sex (male)
Higher SES
Current smoking
Passive smoking
Non-LPG fuel use
Inadequate lighting
Inadequate ventilation
Dampness
Residence duration
Dust Exposure
Factory worker
Migrant
Overcrowding
1.59
1.02
1.37
0.99
1.63
1.09
1.45
1.34
0.97
1.07
1.01
1.30
2.13
1.05
1.01
1.21
1.02
1.02
0.96
1.18
0.81
1.08
0.84
0.64
0.71
0.99
0.97
1.41
0.79
0.76
2.12
1.03
1.85
1.04
2.26
1.47
1.96
2.14
1.45
1.62
1.01
1.75
7.1
1.40
1.33
0.001
<0.001
0.04
0.9
0.003
0.6
0.01
0.2
0.9
0.8
0.2
0.1
<0.001
0.7
0.9
Association of Ambient Air Quality with Obstructive Defects
Variable Odds Ratio
95% C.I. P-Value
Lower Upper
Poor ambient air quality town
Age (years)
Sex (male)
Higher SES
Current smoking
Passive smoking
Non-LPG fuel use
Inadequate lighting
Inadequate ventilation
Dampness
Residence duration
Dust Exposure
Factory worker
Migrant
Overcrowding
1.86
1.01
0.86
0.99
1.61
1.11
1.81
0.84
1.16
0.98
1.00
1.05
1.19
1.11
0.87
1.43
1.00
0.64
0.96
1.17
0.85
1.38
0.55
0.79
0.67
0.99
0.81
0.79
0.85
0.67
2.42
1.01
1.14
1.04
2.21
1.46
2.38
1.27
1.69
1.43
1.01
1.37
1.81
1.45
1.13
<0.001
0.001
0.3
0.9
0.003
0.4
<0.001
0.4
0.4
0.9
0.6
0.7
0.4
0.4
0.3
Association of Residence in Poor Air Quality with Chronic Respiratory Morbidities
Variables Odds Ratio
95% C.I. P-Value
Lower Upper
Cough
Phlegm
Dysponea
Wheeze
C. Bronchitis
Asthma
Obstruction
Restriction
Tuberculosis
1.59
1.56
1.41
1.50
3.13
2.23
1.86
1.27
1.37
1.21
1.17
1.09
1.04
2.11
1.10
1.43
0.98
0.57
2.21
2.07
1.78
2.17
4.64
4.53
2.42
1.66
3.29
0.001
0.003
0.07
0.03
<0.001
0.03
<0.001
0.08
0.5
Summary 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.
Stratified analysis shows increased respiratory morbidity in poor air quality town in most of the categories of confounders.
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.
Study Strength Household survey was done by choosing respondent
from community by cluster sampling, thus selection bias was avoided.
Information bias was avoided by conducting interview and spirometry using same instrument and same investigator.
High response rate (>90%) avoided non-participant bias.
The data collection was concurrent in both the town and continued for two years. Thus, including any seasonal variations.
Not only inquiry on symptoms was conducting but spirometry was also done according to standard procedure given by A.T.S. and instrument was calibrated monthly.
Study Limitation
Assessment of air pollution and respiratory health was done at the same time in the study.
The occurrence of chronic respiratory disease require exposure to poor air quality for long period of time.
Annual Averages of SPM in Mandi Gobindgarh
320
340
360
380
400
420
440
1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002
SPM (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.
Conclusion
It is concluded that people of Mandi Gobindgarh, which had quite high SPM level, have significantly more symptoms of cough, phlegm, dysponea, wheeze, chronic bronchitis, asthma and have obstructive defects as compared to Morinda which had all air pollutants below permissible level.
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