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Adult lung function and long-term air pollution exposure. ESCAPE: a multicentre cohort study and meta-analysis.

Adam M, Schikowski T, Carsin AE, Cai Y, Jacquemin B, Sanchez M, Vierkötter A, Marcon A, Keidel D, Sugiri D, Al Kanani Z, Nadif R, Siroux V, Hardy R, Kuh D, Rochat T, Bridevaux PO, Eeftens M, Tsai MY, Villani S, Phuleria HC, Birk M, Cyrys J, Cirach M, de Nazelle A, Nieuwenhuijsen MJ, Forsberg B, de Hoogh K, Declerq C, Bono R, Piccioni P, Quass U, Heinrich J, Jarvis D, Pin I, Beelen R, Hoek G, Brunekreef B, Schindler C, Sunyer J, Krämer U, Kauffmann F, Hansell AL, Künzli N, Probst-Hensch N - Eur. Respir. J. (2014)

Bottom Line: Cohort-specific results were combined using meta-analysis.An increase of 10 μg·m(-3) in PM10, but not other PM metrics (PM2.5, coarse fraction of PM, PM absorbance), was associated with a lower level of FEV₁ (-44.6 mL, 95% CI -85.4 to -3.8) and FVC (-59.0 mL, 95% CI -112.3 to -5.6).The associations were particularly strong in obese persons.

View Article: PubMed Central - PubMed

Affiliation: Swiss Tropical and Public Health Institute, Basel University of Basel, Basel These authors contributed equally.

No MeSH data available.


Related in: MedlinePlus

Forest plot displaying the study-specific mixed linear regression model estimates of the association of NO2 with level of forced expiratory volume in 1 s (FEV1; in mL) (based on all study participants living in sites with ESCAPE models available). NO2_1 indicates NO2 measured at time of ESCAPE. Associations with lung function measures are presented as increments in NO2 per 10 μg·m−3. I-square: variation in estimated effects attributable to heterogeneity. D+L (Der Simonian and Laird method): pooled estimate of all studies. The mixed linear regression models were adjusted for: age, age squared, height, sex, body mass index, highest educational level, and smoking status at second spirometry; negative estimates indicated lower lung function with increasing exposure. ES: effect size.
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Figure 1: Forest plot displaying the study-specific mixed linear regression model estimates of the association of NO2 with level of forced expiratory volume in 1 s (FEV1; in mL) (based on all study participants living in sites with ESCAPE models available). NO2_1 indicates NO2 measured at time of ESCAPE. Associations with lung function measures are presented as increments in NO2 per 10 μg·m−3. I-square: variation in estimated effects attributable to heterogeneity. D+L (Der Simonian and Laird method): pooled estimate of all studies. The mixed linear regression models were adjusted for: age, age squared, height, sex, body mass index, highest educational level, and smoking status at second spirometry; negative estimates indicated lower lung function with increasing exposure. ES: effect size.

Mentions: The main meta-analysis results for associations of each air pollution metric with level and change of lung function are presented in table 3. No associations between any exposure metric and lung function decline were present, irrespective of covariate adjustment and subgroup (sex, obesity, asthma and smoking). Looking at levels of lung function cross-sectionally, we found higher NO2 and NOx exposures to be associated with lower levels of FVC and FEV1. An increase of 10 μg·m−3 in NO2 exposure was associated with a −14.0 mL lower level of FEV1 (95% CI −25.8– −2.1) and −14.9 mL lower level of FVC (95% CI −28.7– −1.1) (table 3, figs 1 and 2). An increase of 20 μg·m−3 in NOx exposure was associated with a lower level of FEV1, by −12.9 mL (95% CI −23.87– −2.0) and of FVC, by −13.3 mL (95% CI −25.9– −0.7) and an increase of 10 μg·m−3 in PM10 was associated with a lower level of FEV1 (−44.6 mL, 95% CI −85.4– −3.8) and FVC (−59.0 mL, 95% CI −112.3– −5.7) (table 3). The other PM metrics were not associated with lung function level. Higher traffic load on major roads in a 100 m buffer from residential address was associated with lower levels of FEV1 (−32.34 mL, 95% CI −59.30– −5.38).


Adult lung function and long-term air pollution exposure. ESCAPE: a multicentre cohort study and meta-analysis.

Adam M, Schikowski T, Carsin AE, Cai Y, Jacquemin B, Sanchez M, Vierkötter A, Marcon A, Keidel D, Sugiri D, Al Kanani Z, Nadif R, Siroux V, Hardy R, Kuh D, Rochat T, Bridevaux PO, Eeftens M, Tsai MY, Villani S, Phuleria HC, Birk M, Cyrys J, Cirach M, de Nazelle A, Nieuwenhuijsen MJ, Forsberg B, de Hoogh K, Declerq C, Bono R, Piccioni P, Quass U, Heinrich J, Jarvis D, Pin I, Beelen R, Hoek G, Brunekreef B, Schindler C, Sunyer J, Krämer U, Kauffmann F, Hansell AL, Künzli N, Probst-Hensch N - Eur. Respir. J. (2014)

Forest plot displaying the study-specific mixed linear regression model estimates of the association of NO2 with level of forced expiratory volume in 1 s (FEV1; in mL) (based on all study participants living in sites with ESCAPE models available). NO2_1 indicates NO2 measured at time of ESCAPE. Associations with lung function measures are presented as increments in NO2 per 10 μg·m−3. I-square: variation in estimated effects attributable to heterogeneity. D+L (Der Simonian and Laird method): pooled estimate of all studies. The mixed linear regression models were adjusted for: age, age squared, height, sex, body mass index, highest educational level, and smoking status at second spirometry; negative estimates indicated lower lung function with increasing exposure. ES: effect size.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4318659&req=5

Figure 1: Forest plot displaying the study-specific mixed linear regression model estimates of the association of NO2 with level of forced expiratory volume in 1 s (FEV1; in mL) (based on all study participants living in sites with ESCAPE models available). NO2_1 indicates NO2 measured at time of ESCAPE. Associations with lung function measures are presented as increments in NO2 per 10 μg·m−3. I-square: variation in estimated effects attributable to heterogeneity. D+L (Der Simonian and Laird method): pooled estimate of all studies. The mixed linear regression models were adjusted for: age, age squared, height, sex, body mass index, highest educational level, and smoking status at second spirometry; negative estimates indicated lower lung function with increasing exposure. ES: effect size.
Mentions: The main meta-analysis results for associations of each air pollution metric with level and change of lung function are presented in table 3. No associations between any exposure metric and lung function decline were present, irrespective of covariate adjustment and subgroup (sex, obesity, asthma and smoking). Looking at levels of lung function cross-sectionally, we found higher NO2 and NOx exposures to be associated with lower levels of FVC and FEV1. An increase of 10 μg·m−3 in NO2 exposure was associated with a −14.0 mL lower level of FEV1 (95% CI −25.8– −2.1) and −14.9 mL lower level of FVC (95% CI −28.7– −1.1) (table 3, figs 1 and 2). An increase of 20 μg·m−3 in NOx exposure was associated with a lower level of FEV1, by −12.9 mL (95% CI −23.87– −2.0) and of FVC, by −13.3 mL (95% CI −25.9– −0.7) and an increase of 10 μg·m−3 in PM10 was associated with a lower level of FEV1 (−44.6 mL, 95% CI −85.4– −3.8) and FVC (−59.0 mL, 95% CI −112.3– −5.7) (table 3). The other PM metrics were not associated with lung function level. Higher traffic load on major roads in a 100 m buffer from residential address was associated with lower levels of FEV1 (−32.34 mL, 95% CI −59.30– −5.38).

Bottom Line: Cohort-specific results were combined using meta-analysis.An increase of 10 μg·m(-3) in PM10, but not other PM metrics (PM2.5, coarse fraction of PM, PM absorbance), was associated with a lower level of FEV₁ (-44.6 mL, 95% CI -85.4 to -3.8) and FVC (-59.0 mL, 95% CI -112.3 to -5.6).The associations were particularly strong in obese persons.

View Article: PubMed Central - PubMed

Affiliation: Swiss Tropical and Public Health Institute, Basel University of Basel, Basel These authors contributed equally.

No MeSH data available.


Related in: MedlinePlus