| Literature DB >> 27882015 |
Cahit Bilgin1, Peri Arbak2, Ozlem Yavuz3, Ege Gulec Balbay4, Oner Balbay5, Ali Nihat Annakkaya6.
Abstract
OBJECTIVE: There are few studies on the diesel exhaust particulates (DEP) / eosinophilic cationic protein (ECP) level relationship. This study aimed to detect ECP levels in a highly DE exposed group, named as toll collectors.Entities:
Keywords: Diesel exhaust; ECP; PEF variability; Pulmonary function; Toll collectors
Year: 2016 PMID: 27882015 PMCID: PMC5103127 DOI: 10.12669/pjms.325.10844
Source DB: PubMed Journal: Pak J Med Sci ISSN: 1681-715X Impact factor: 1.088
Fig.1Respiratory complaints in subjects.
Spirometric values of subjects.
| FVC % predicted | 105.5 ± 16.3 | 100.0 ± 9.5 | 0.101 |
| FEV1% predicted | 105.8 ± 15.7 | 103.1 ± 12.2 | 0.430 |
| FEV1/FVC % predicted | 83.6 ± 7.2 | 85.9 ± 7.0 | 0.168 |
| MMFR % predicted | 94.4 ± 27.9 | 98.1 ± 26.3 | 0.561 |
| PEFR % predicted | 100.9 ± 22.4 | 101.9 ± 21.4 | 0.850 |
Diurnal PEF variability in both working and off working periods.
| PEF diurnal variability greater than 20% /working days | 12 | 17.6 | 1 | 3.6 | 0.058 |
| PEF diurnal variability greater than 20% /work off days | 8 | 11.8 | 2 | 7.1 | 0.396 |
Mean ECP levels related to various complaints.
| PEF Diurnal variability/work | ||
| Yes n=25 | 29.1 ± 30.8 | 0.950 |
| No n=71 | 29.6 ± 29.4 | |
| Diurnal variability/off work | ||
| Yes n=22 | 30.6 ± 32.4 | 0.842 |
| No n=74 | 29.1 ± 28.9 | |
| Smoking | ||
| Yes n=56 | 29.6 ± 26.7 | 0.941 |
| No n=21 | 30.8 ± 32.5 | |
| Ex-smoker n=19 | 27.5 ± 35.6 | |
| Wheezing | ||
| Yes n=30 | 38.1 ± 39.6 | 0.052 |
| No n=66 | 25.5 ± 23.0 | |
| Chest tightness | ||
| Yes n=21 | 27.3 ± 27.3 | 0.710 |
| No n=75 | 30.1 ± 30.4 | |
| Cough 3 months/year | ||
| Yes n=8 | 19.5 ± 12.7 | 0.323 |
| No n=88 | 30.3 ± 30.6 | |
| Phlegm 3 months/year | ||
| Yes n=14 | 26.8 ± 30.2 | 0.722 |
| No n=82 | 29.9 ± 29.7 | |
| Dyspnea at ground level | ||
| Yes n=6 | 23.0 ± 14.3 | 0.583 |
| No n=90 | 29.9 ± 30.3 |