| Literature DB >> 28716044 |
F De Santi1, G Zoppini1, F Locatelli2, E Finocchio2, V Cappa2, M Dauriz1, G Verlato3.
Abstract
BACKGROUND: To estimate the prevalence of respiratory symptoms in individuals with type 2 diabetes, as compared to the general population.Entities:
Keywords: Ageing; Asthma-like symptoms; Chronic cough/phlegm; Dyspnoea; Eczema; Obesity; Smoking; Type 2 diabetes
Mesh:
Year: 2017 PMID: 28716044 PMCID: PMC5513377 DOI: 10.1186/s12890-017-0443-1
Source DB: PubMed Journal: BMC Pulm Med ISSN: 1471-2466 Impact factor: 3.317
Demographic characteristics, education level and exposure to smoking or heavy vehicle traffic in the study samples
| 45-64 years | 65-84 years | |||||
|---|---|---|---|---|---|---|
| General population | Diabetic patients |
| General population | Diabetic patients |
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| ( | ( | ( | ( | |||
| Female (%) |
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| 261 (44.2) | 66 (40.2) | 0.375 |
| Age (mean ± SD) | 55.3 ( | 56.1 ( | z = −1.30, | 73.3 ( | 73.2 ( | z = 0.20, |
| Education level (%) |
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| Primary school |
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| Secondary school |
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| High school |
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| University |
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| Smoking habits (%) | 0.418 | 0.560 | ||||
| Never-smokers | 278 (42.1) | 31 (34.8) | 330 (57.8) | 85 (55.6) | ||
| Ex-smokers | 228 (34.6) | 35 (39.3) | 185 (32.4) | 56 (36.6) | ||
| Current smokers | 154 (23.3) | 23 (25.8) | 56 (9.8) | 12 (7.8) | ||
| Heavy vehicle traffic exposure |
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| Never |
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| Seldom |
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| Frequently |
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| Constantly |
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P values were computed by Fisher’s exact test for sex and smoking habits, chi-square test for trend for education and exposure to heavy vehicle traffic and Wilcoxon-Mann-Whitney non-parametric test for age. Significant results are highlighted in bold
Prevalence of respiratory disorders in the study samples
| 45-64 years | 65-84 years | |||||
|---|---|---|---|---|---|---|
| General population | Diabetic patients |
| General population | Diabetic patients |
| |
| ( | ( | ( | ( | |||
| Ever asthma (%) | 58 (8.8) | 9 (9.7) | 0.702 | 42 (7.5) | 10 (6.2) | 0.730 |
| Current asthma (%) | 39 (5.8) | 6 (6.5) | 0.814 | 25 (4.4) | 8 (4.9) | 0.830 |
| Diagnosed asthma (%) | 43 (6.6) | 6 (6.7) | 1.00 | 27 (4.9) | 5 (3.1) | 0.513 |
| Allergic rhinitis (%) | 125 (18.7) | 15 (16.5) | 0.668 | 75 (13) | 24 (15.1) | 0.513 |
| Eczema (%) | 89 (13.6) | 14 (15.6) | 0.626 | 70 (12.8) | 28 (18.3) | 0.087 |
| Chronic cough/phlegm (%) |
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| 134 (24.6) | 41 (27.9) | 0.454 |
| Diagnosed COPD (%) | 41 (6.2) | 7 (7.9) | 0.496 | 78 (14.0) | 18 (11.8) | 0.593 |
| mMCR grade2 dyspnoea (%) |
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P values were computed by Fisher’s exact test. Significant results are highlighted in bold
Fig. 1Odds ratios (ORs) of reporting chronic cough/phlegm in the general population (blue columns) and in individuals with type 2 diabetes (red columns) as a function of age class. Columns are ORs, bars are 95% confidence intervals. ORs were computed by a logistic regression model, controlling for sex, age, education level, smoking habits and exposure to heavy vehicle traffic
Fig. 2Odds ratios (ORs) of reporting mMRC grade 2 dyspnoea in the general population (blue columns) and in individuals with type 2 diabetes (red columns) as a function of age class. Columns are ORs, bars are 95% confidence intervals. ORs were computed by a logistic regression model, controlling for sex, age, education level, smoking habits and exposure to heavy vehicle traffic