| Literature DB >> 35853736 |
Parris J Williams1, Andrew Cumella2, Keir Elmslie James Philip1, Anthony A Laverty3, Nicholas S Hopkinson4.
Abstract
BACKGROUND: Understanding the factors driving acute exacerbations of chronic obstructive pulmonary disease (COPD) is key to reducing their impact on human health and well-being.Entities:
Keywords: COPD Exacerbations; Emphysema; Tobacco and the lung
Mesh:
Year: 2022 PMID: 35853736 PMCID: PMC9315910 DOI: 10.1136/bmjresp-2022-001290
Source DB: PubMed Journal: BMJ Open Respir Res ISSN: 2052-4439
Sociodemographic characteristics of the survey respondents sample including percentage of the sample demographics in each exacerbation group
| Demographics | All participants n=5997 | 0–1 exacerbations in the past 12 months n=2266 | |
| Age (mean SD) | 66.2 ± (8.9) | – | – |
| Age started smoking (mean SD) | 15.7 ± (4.9) | – | – |
| Female | 3858 (64.3%) | 2338 (62.6%) | 1520 (67.0%) |
| Male | 2139 (35.7%) | 1393 (37.4%) | 746 (33.0%) |
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| White | 5910 (98.5%) | 3696 (99.0%) | 2179 (97.0%) |
| Mixed | 43 (0.7%) | 21 (0.6%) | 22 (1.0%) |
| Asian, Asian British | 36 (0.4%) | 12 (0.3%) | 24 (1.1%) |
| Black, black British | 8 (0.13%) | 2 (0.1%) | 6 (0.9%) |
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| ≤£20 000 | 3061 (51.0%) | 2037 (54.5%) | 1025 (45.2%) |
| £20 000–£30 000 | 1229 (20.5%) | 722 (19.3%) | 507 (22.3%) |
| £30 001–£40 000 | 450 (7.5%) | 250 (6.7%) | 200 (8.8%) |
| ≥£40 001 | 343 (5.7%) | 183 (5.1%) | 160 (7.2%) |
| Rather not say | 913 (15.2%) | 539 (14.4%) | 374 (16.5%) |
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| Ex-smoker | 4845 (80.8%) | 2874 (77.1%) | 1971 (86.9%) |
| Current | 1152 (19.2%) | 857 (22.9%) | 295 (13.1%) |
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| Warm and dry | 4494 (74.9%) | 2642 (70.8%) | 1852 (82.2%) |
| Cold and damp | 809 (13.4%) | 591 (15.8%) | 215 (10.0%) |
| Cold | 470 (7.8%) | 339 (9.0%) | 77 (4.4%) |
| Damp | 227 (3.9%) | 159 (4.4%) | 68 (3.4%) |
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| Yes | 3010 (50.1%) | 1965 (52.6%) | 1045 (46.1%) |
| No | 2987 (49.9%) | 1766 (47.4%) | 1221 (53.9%) |
Factors associated with increased number of exacerbations among survey population
| Variable | Model 1: age, sex tobacco and income | Model 2: age, sex, tobacco and housing | Model 3: all variables |
| OR and CI | OR and CI | OR and CI | |
| Gender female | Ref | Ref | Ref |
| Male | |||
| Age | |||
| Smoking status (current) | |||
| Ex-smokers | Ref | Ref | Ref |
| Occupational exposure to dust, fume and chemicals | – | – | |
| No occupational exposure to dust, fumes and chemicals | – | – | Ref |
| Age started smoking | – | – | 1.001 (0.990 to 1.012) |
| Housing: warm and dry | – | Ref | Ref |
| Housing: cold and damp | – | ||
| Housing: cold | – | ||
| Housing damp | – | ||
| HH income: | – | ||
| HH income: £20 001– £30 000 | – | ||
| HH income: £30 001– £40 000 | 1.11 (0.83 to 1.48) | – | 1.08 (0.81 to 1.44) |
| HH income: ≥£40 000 | Ref | – | Ref |
| HH income: rather not say | – |
Bold type indicates significance at ≤0.05 level.
HH, household.
Figure 1Sociodemographic, housing and annual household (HH) income factors (AOR, 95%CI) associated with >2 exacerbations in the past 12 months among the survey population. Occupational exposure = yes to occupational exposure to dust, fumes and chemicals. Ex-smokers, no occupational exposure, warm and dry housing and HH income >£40,000 were used as reference categories for the analysis.