| Literature DB >> 28974648 |
Debbie Jarvis1,2, Roger Newson3, Christer Janson4, Angelo Corsico5, Joachim Heinrich6, Josep M Anto7,8,9,10, Michael J Abramson11, Anne-Marie Kirsten12, Jan Paul Zock7,8,9, Roberto Bono13, Pascal Demoly14,15, Bénédicte Leynaert16, Chantal Raherison17, Isabelle Pin18,19, Thorarinn Gislason20,21, Rain Jogi22, Vivi Schlunssen23,24, Cecilie Svanes25,26, John Watkins27,28, Joost Weyler29, Antonio Pereira-Vega30, Isabel Urrutia31, Jose A Gullón32, Bertil Forsberg33, Nicole Probst-Hensch34, H Marike Boezen35, Jesús Martinez-Moratalla Rovira36,37, Simone Accordini38, Roberto de Marco38, Peter Burney1,2.
Abstract
BACKGROUND: Change in the prevalence of asthma-like symptoms in populations of ageing adults is likely to be influenced by smoking, asthma treatment and atopy.Entities:
Keywords: Asthma Epidemiology
Mesh:
Year: 2017 PMID: 28974648 PMCID: PMC5738606 DOI: 10.1136/thoraxjnl-2016-209596
Source DB: PubMed Journal: Thorax ISSN: 0040-6376 Impact factor: 9.139
Figure 1Study flow diagram for participants in the ECRHS III Canada (6) and Poland (1) not included—first data submitted after 1995. Note that ECRHS included follow-up of non-random sample of those selected because they had symptoms—this group is not included in this analysis. ECRHS, European Community Respiratory Health Survey.
Response rates for ECRHS II and III in the target sample (those responding to ECRHS I)
| Country | Centre | Target sample* | Responded ECRHS II† | Responded ECRHS II and ECRHS III† | |||||
| N | N | % of target sample | N | % of target sample | Mean follow-up (years) | % female | Mean age at ECRHS III | ||
| Iceland | Reykjavik | 563 | 445 | 79.0 | 357 | 63.4 | 20.2 | 56.0 | 53.4 |
| Norway | Bergen | 835 | 658 | 78.8 | 505 | 60.5 | 19.0 | 49.5 | 50.9 |
| Sweden | Umea | 552 | 459 | 83.2 | 321 | 58.2 | 19.9 | 54.8 | 53.1 |
| Uppsala | 622 | 513 | 82.5 | 387 | 62.2 | 19.9 | 53.0 | 52.7 | |
| Gothenburg | 682 | 548 | 80.4 | 414 | 60.7 | 19.9 | 56.0 | 52.6 | |
| Estonia | Tartu | 431 | 352 | 81.7 | 229 | 53.1 | 18.2 | 58.5 | 49.4 |
| Denmark | Aarhus | 394 | 321 | 81.5 | 263 | 66.8 | 18.5 | 54.8 | 51.4 |
| Belgium | Antwerp City | 564 | 403 | 71.5 | 294 | 52.1 | 19.7 | 63.9 | 52.3 |
| Antwerp South | 558 | 432 | 77.4 | 350 | 62.7 | 20.5 | 52.9 | 54.0 | |
| Germany | Hamburg | 900 | 672 | 74.7 | 449 | 49.9 | 19.8 | 51.0 | 54.1 |
| Erfurt | 715 | 548 | 76.6 | 453 | 63.4 | 18.9 | 50.3 | 52.6 | |
| Netherlands | Groningen | 208 | 63 | 30.3 | 34 | 16.3 | 21.3 | 50.0 | 59.8 |
| UK | Caerphilly | 380 | 263 | 69.2 | 178 | 46.8 | 19.4 | 57.3 | 54.8 |
| Norwich | 473 | 408 | 86.3 | 258 | 54.5 | 20.2 | 61.2 | 54.5 | |
| Ipswich | 448 | 389 | 86.8 | 234 | 52.2 | 19.9 | 56.4 | 54.3 | |
| Switzerland | Basel | 852 | 513 | 60.2 | 306 | 35.9 | 19.0 | 50.7 | 52.0 |
| France | Bordeaux | 544 | 167 | 30.7 | 122 | 22.4 | 19.6 | 43.4 | 51.8 |
| Paris | 651 | 493 | 75.7 | 388 | 59.6 | 20.3 | 55.4 | 55.7 | |
| Grenoble | 473 | 417 | 88.2 | 376 | 79.5 | 20.5 | 47.1 | 55.6 | |
| Montpellier | 456 | 285 | 62.5 | 177 | 38.8 | 19.3 | 53.1 | 56.1 | |
| Spain | Oviedo | 357 | 310 | 86.8 | 175 | 49.0 | 18.7 | 51.4 | 53.1 |
| Galdakao | 486 | 429 | 88.3 | 316 | 65.0 | 19.1 | 52.5 | 50.9 | |
| Barcelona | 392 | 314 | 80.1 | 205 | 52.3 | 18.8 | 59.5 | 51.5 | |
| Albacete | 435 | 393 | 90.3 | 223 | 51.3 | 19.5 | 54.7 | 51.8 | |
| Huelva | 271 | 223 | 82.3 | 133 | 49.1 | 18.9 | 58.6 | 51.5 | |
| Italy | Verona | 342 | 254 | 74.3 | 150 | 43.9 | 16.3 | 47.3 | 49.9 |
| Pavia | 310 | 288 | 92.9 | 156 | 50.3 | 20.1 | 50.6 | 55.0 | |
| Turin | 244 | 176 | 72.1 | 80 | 32.8 | 19.9 | 53.8 | 54.4 | |
| Australia | Melbourne | 669 | 483 | 72.2 | 351 | 52.5 | 19.8 | 55.6 | 54.3 |
| Total | 14 807 | 11 219 | 75.8 | 7884 | 53.2 | 19.5 | 53.8 | 53.0 | |
*Target samples are responders to ECRHS I.
†Responders defined as subjects returning a questionnaire for ECRHS II or for ECRHS II and III.
ECRHS, European Community Respiratory Health Survey.
Baseline ECRHS I crude prevalences and ECRHS I inverse-propensity weighted prevalences with net change in prevalence of respiratory symptoms from ECRHS I to ECRHS II, from ECRHS II to ECRHS III, and from ECRHS I to ECRHS III
| ECRHS I subjects* | Number responding to ECRHS I, II and III | ||||||||||
| Symptom from postal survey | Number of centres | Number of participants | ECRHS I crude prevalence (%) | Subjects | ECRHS I prevalence (%) | Net change ECRHS II-I (%) | Net change ECRHS III-II (%) | Net change ECRHS III-I (%) (95% CI) | p | Heterogeneity I2 (%) | Heterogeneity p |
| Wheeze | 29 | 14 734 | 21.5 | 7738 | 21.3 | −1.6 | −0.6 |
|
| 0.0 | 0.71 |
| Wheeze with breathlessness | 29 | 14 699 | 10.9 | 7630 | 10.1 | −0.2 | 0.5 | 0.6 (−0.2 to 1.5) | 0.12 | 0.0 | 0.61 |
| Wheeze without a cold | 29 | 14 720 | 13.4 | 7662 | 12.7 | −0.5 | −0.8 |
|
| 0.0 | 0.84 |
| Woken with chest tightness | 23 | 14 365 | 14.3 | 6420 | 12.6 | −0.5 | −0.7 | −1.3 (−3.0 to 0.3) | 0.1 | 57.6 | 0.00033 |
| Woken with shortness of breath | 28 | 14 361 | 6.3 | 7459 | 5.5 | 0.3 | 0.4 | 0.9 (−0.1 to 2.0) | 0.071 | 50.6 | 0.0013 |
| Woken by attack of coughing | 21 | 14 752 | 28.6 | 6279 | 27.8 | −0.4 | 0.5 | 0.2 (−2.3 to 2.6) | 0.91 | 65.0 | 0.000019 |
| Asthma attack | 29 | 14 745 | 3.9 | 7694 | 3.5 | 0.7 | 0.1 |
|
| 0.0 | 0.89 |
| Current asthma medication | 27 | 14 749 | 4.0 | 7069 | 3.5 | 2.0 | 1.5 |
|
| 0.0 | 0.56 |
| Diagnosed asthma | 27 | 14 711 | 5.5 | 7002 | 4.8 | 2.0 | 1.5 |
|
| 0.0 | 0.94 |
| Nasal allergies | 27 | 14 279 | 24.8 | 7020 | 23.2 | 2.8 | −0.0 |
|
| 0.0 | 0.8 |
| Symptom from interviewer survey on a subsample | |||||||||||
| Chronic winter cough | 26 | 14 698 | 7.7 | 4570 | 7.1 | −0.3 | 1.4 | 1.1 (−0.3 to 2.5) | 0.13 | 49.1 | 0.0027 |
| Chronic winter phlegm | 26 | 14 665 | 6.3 | 4545 | 5.8 | 0.4 | 0.6 | 1.0 (−0.3 to 2.2) | 0.12 | 40.1 | 0.019 |
All estimates for change during the first 10 years of follow-up were compatible with estimates published in Chinn et al 1 (which were unadjusted for non-response, and included some centres which did not take part in ECRHS III).
*Crude prevalence in all target sample participants who completed postal survey in ECRHS I.
Numbers are in bold if p<0.05.
ECRHS, European Community Respiratory Health Survey.
Note that changes in estimates from ECRHS I to ECRHS III are not the sum of changes from ECRHS I to ECRHS II, and from ECRHS II to ECRHS III due to the use of inverse variance weighting required by DerSimonian and Laird meta-analysis.12
Figure 2Net change in prevalence (%) of ‘current use of asthma medication’ (prevalence at ECRHS III minus prevalence at ECRHS I) adjusted for non-response and estimated by generalised estimating equations No estimate for Melbourne, Australia or Basel, Switzerland, as information on asthma medication use was not recorded during postal survey. ECRHS, European Community Respiratory Health Survey.
Figure 3Comparison of change in prevalence in first 10 years to change in prevalence in second 10 years of follow-up (ie, ECRHS III-II change in prevalence minus ECRHS II-I change in prevalence) for all symptoms: adjusted for non-response and estimated by generalised estimating equations. ECRHS, European Community Respiratory Health Survey.
Net change in prevalence (%) of wheeze, asthma and nasal allergies/hay fever (prevalence at ECRHS III minus prevalence at ECRHS I); (adjusted for non-response) by generalised estimating equations and combined by random effects meta-analysis across countries and stratified by gender, age at baseline, presence of hay fever/nasal allergies at baseline, asthma treatment and smoking status
| Wheeze | Wheeze—no cold | Wheeze with shortness of breath | Asthma attack | Asthma medication | Hay fever/nasal allergies | ||
| Gender | Male |
|
| 0.2 ( | 0.2 ( |
|
|
| Female |
|
| 0.2 ( | 0.0 (0.0–0.0) |
|
| |
| Age group | <35 |
|
| 0.9 ( |
|
|
|
| ( | 35+ |
| −1.0 ( | −0.2 ( | 0.2 ( |
| 0.8 ( |
| Nasal allergies* | No |
| −0.3 ( |
|
|
| – |
| Yes |
|
|
|
|
|
| |
| Smoking* | Never |
| 0.6 ( | 0.4 ( | 0.2 ( |
| 2.1 ( |
| Ex → Ex | 5.3 ( |
|
| 0.8 ( |
|
| |
| Current →Ex |
|
| 0.6 ( | 1.1 ( |
|
| |
| Current → Current | 1.0 ( | 0.0 ( | 2.5 ( | 3.3 ( |
| 3.8 ( | |
| Asthma medication | Never |
|
| 0.3 ( |
| – |
|
| Ever | 0.8 ( |
| 6.6 ( |
| – | 1.5 ( |
*Meta-analyses conducted by country to allow comparison of groups.
Numbers are in bold if p<0.05.
ECRHS, European Community Respiratory Health Survey.
Figure 4Net change in prevalence (%) of ‘current smoking’ (prevalence at ECRHS III minus prevalence at ECRHS I); adjusted for non-response and estimated by generalised estimating equations in each centre. ECRHS, European Community Respiratory Health Survey.
Figure 5Net change in prevalence (%) of symptoms (prevalence at ECRHS III minus prevalence at ECRHS I); adjusted for non-response and estimated by generalised estimating equations stratified by smoking history. Some differences in numbers of countries for each analysis occur as information on smoking history in some centres differed. ECRHS, European Community Respiratory Health Survey.
Figure 6Net change in prevalence (%) of symptoms (prevalence at ECRHS III minus prevalence at ECRHS I); adjusted for non-response and estimated by generalised estimating equations stratified by use of asthma medication. ECRHS, European Community Respiratory Health Survey.