Skip to main content
BMJ Open Access logoLink to BMJ Open Access
. 2020 Nov 12;76(5):503–507. doi: 10.1136/thoraxjnl-2020-215884

Early-life risk factors for reversible and irreversible airflow limitation in young adults: findings from the BAMSE birth cohort

Gang Wang 1,2,3, Inger Kull 2,3,4, Anna Bergström 2,5, Jenny Hallberg 3,4, Petra Um Bergström 3,4, Stefano Guerra 6,7, Goran Pershagen 2,5, Olena Gruzieva 2,5, Marianne van Hage 8, Antonios Georgelis 2,5, Christer Janson 9, Anders Lindén 2,10, Erik Melén 2,3,4,
PMCID: PMC8070638  PMID: 33184098

Abstract

We aimed to determine prevalence and early-life risk factors for reversible and irreversible airflow limitation in young adults from the general population. Among young adults in their 20s, the prevalence was 5.3% for reversible airflow limitation and 2.0% for irreversible airflow limitation. While parental asthma was the only risk factor for development of reversible airflow limitation, the risk factors for development of irreversible airflow limitation were current asthma, childhood respiratory tract infections and asthma, and exposure to air pollution.

Keywords: COPD epidemiology


It has been shown that impaired lung function in children and young adults is associated with an increased risk of chronic obstructive pulmonary disease (COPD) later in life.1 2 Recently, airflow limitation defined as pre-bronchodilator (BD) forced expiratory volume in 1 s (FEV1)/forced vital capacity (FVC) below the lower limit of normal (LLN) was observed in 4% of adults aged 20–29 years who have less than 5 pack-years tobacco load, and up to 7% in participants who have 5 pack-years or more tobacco load.3 However, few published studies addressed reversible airflow limitation and irreversible airflow limitation in young adults. Given this, we aimed to determine the prevalence and early-life risk factors for reversible airflow limitation and irreversible airflow limitation in young adults from the general population.

A total of 1932 participants in the population-based birth cohort Barn/Children, Allergy, Milieu, Stockholm, Epidemiology (BAMSE) performed valid pre-BD and post-BD lung function measurements at the 24-year follow-up.4 5 Lung function was tested according to American Thoracic Society (ATS)/European Respiratory Society (ERS) criteria as previously described.6 Post-BD lung function was tested 15 min after administration of 400 µg salbutamol. ‘Normal lung function’ was defined as pre-BD and post-BD FEV1/FVC ≥LLN,7 ‘Reversible airflow limitation’ as pre-BD FEV1/FVC <LLN but post-BD FEV1/FVC≥LLN, and ‘Irreversible airflow limitation’ as pre-BD and post-BD FEV1/FVC <LLN. ORs and 95% CIs for risk factors in relation to reversible airflow limitation or irreversible airflow limitation, selected based on previous literature and availability in BAMSE, were estimated using multivariable logistic regression in R (V.4.0.2).

The prevalence of reversible airflow limitation was 5.3% (n=103, 95% CI 4.3% to 6.3%), and irreversible airflow limitation 2.0% (n=39, 95% CI 1.4% to 2.6%) at the 24-year follow-up. Forty-nine per cent reported respiratory symptoms in those with irreversible airflow limitation compared with 25% in those with normal lung function (table 1). In addition, participants in the irreversible airflow limitation group also reported more cough, but not more mucus production, during winter mornings. Besides, there were reports of more respiratory symptoms (defined as troublesome breasing, chest tightness or wheezing) and pneumonia events during the last 12 months in the irreversible airflow limitation group. However, no such differences were observed for the groups with reversible airflow limitation and normal lung function. There were lower pre-BD FEV1 and post-BD FEV1 (by design, online supplemental table E1), higher pre-BD FVC and post-BD FVC, and higher reversibility (change in FEV1 and change in FEV1 % baseline) in the reversible and irreversible airflow limitation groups compared with the group with normal lung function. Fifteen and 2.9% of participants with irreversible and reversible airflow limitation had post-BD FEV1 lower than LLN, respectively, compared with 1.5% in the group with normal lung function (online supplemental table E1). No substantial difference was observed for other variables, except higher body mass index (BMI) was observed in participants with irreversible airflow limitation (table 1). In logistic regression models adjusted for age, gender and BMI, several indicators of early life infections and respiratory diseases, environmental exposures and current asthma were risk factors associated with irreversible airflow limitation (table 2). In mutually adjusted analyses, respiratory syncytial virus (RSV) infection/pneumonia during infancy, nitrogen oxide (NOx) exposure during age 0–1 years, childhood asthma during age 0–4 years and current asthma were independent risk factors for irreversible airflow limitation (table 3). For reversible airflow limitation, parental asthma and childhood asthma during age 0–4 and 8–12 years, NOx exposure during age 8–12 years and current asthma were associated factors. In mutually adjusted analyses, parental asthma alone was an independent risk factor for reversible airflow limitation.

Supplementary data

thoraxjnl-2020-215884supp001.pdf (107.2KB, pdf)

Table 1.

Characteristics of cohort participants with Irreversible airflow limitation or Reversible airflow limitation and normal lung function*

Irreversible airflow limitation (N=39) Reversible airflow limitation (N=103) Normal lung function (N=1790) P value
Irreversible airflow limitation versus normal lung function Reversible airflow limitation versus normal lung function
Age, years, mean (SD) 22.4 (0.5) 22.4 (0.5) 22.4 (0.5) 0.7387 0.5593
Sex, female, n (%) 19 (48.7) 58 (56.3) 1042 (58.2) 0.2346 0.7037
BMI, kg/m2, mean (SD) 24.9 (5.9) 23.2 (3.0) 23.1 (3.8) 0.0060 0.9549
Education, n (%) 0.1506 0.7524
 Secondary school 20 (51.3) 62 (60.2) 1118 (62.6)
 High school 9 (23.1) 23 (22.3) 405 (22.7)
 University 10 (25.6) 18 (17.5) 264 (14.8)
Active childhood smoking, n (%) 0.2804 0.8711
 Never 23 (59.0) 70 (68.0) 1200 (67.2)
 Ever 16 (41.0) 33 (32.0) 586 (32.8)
Tobacco consumption (pack-years), median (IQR) 1.1 (0.1 to 1.6) 1.0 (0.1 to 2.3) 0.4 (0.1 to 1.7) 0.4504 0.3609
Respiratory health events
 Cough during winter morning, n (%) 9 (23.1) 11 (10.8) 139 (7.9) 0.0006 0.3686
 Mucus production during winter morning, n (%) 6 (15.8) 18 (17.8) 257 (14.6) 0.8319 0.4999
 Respiratory symptoms, n (%) 19 (48.7) 34 (33.0) 451 (25.2) 0.0009 0.0791
 Pneumonia in the last 12 months, n (%) 4 (10.3) 3 (3.0) 44 (2.5) 0.0183‡ 0.7387‡
Sensitisation at age 24 years
 Sensitisation to airborne allergens, n (%) 18 (46.2) 36 (35.6) 767 (43.5) 0.7414 0.1207
 Sensitisation to food allergens, n (%) 5 (12.8) 10 (9.9) 153 (8.7) 0.3826‡ 0.6736
Reversibility test
 Change in FEV1, ml, median (IQR) 243 (156 to 360) 273 (192 to 373) 111 (50 to 185) <0.0001 <0.0001
 Change in FEV1 % baseline, %, median (IQR) 7.3 (4.2 to 10.2) 7.7 (5.1 to 9.9) 2.8 (1.3 to 4.6) <0.0001 <0.0001
Blood different cell count, ×109/L
 Neutrophils, mean (SD) 3.86 (1.5) 3.51 (1.37) 3.71 (1.4) 0.5358 0.1734
 Eosinophils, median (IQR) 0.10 (0.1 to 0.2) 0.10 (0.0 to 0.2) 0.10 (0.0 to 0.2) 0.0529 0.7534

*Details about the definitions of health outcomes and covariates are provided in the online supplemental file.

†Based on Kruskal-Wallis rank sum test.

‡Based on Fisher’s exact test.

BMI, body mass index; FEV1, forced expiratory volume in 1 s.

Table 2.

Logistic regression model reversible and irreversible airflow limitation adjusted for age, gender, and body mass index*

Variables Normal lung function Reversible airflow limitation Irreversible airflow limitation
No of individuals/cases OR (95% CI) No of individuals/cases OR (95% CI) No of individuals/cases OR (95% CI)
Parental education, primary school/high school versus university 1787/774 1 (Reference) 102/40 0.85 (0.56 to 1.28) 39/17 0.98 (0.51 to 1.86)
Maternal smoking during pregnancy 1789/197 1 (Reference) 103/14 1.26 (0.70 to 2.27) 39/5 1.13 (0.44 to 2.96)
Parental asthma 1776/342 1 (Reference) 103/36 2.24 (1.47 to 3.42) 39/7 0.9 (0.39 to 2.07)
Preterm birth 1790/95 1 (Reference) 103/5 0.91 (0.36 to 2.28) 39/3 1.42 (0.43 to 4.71)
Parental smoking during childhood 1790/526 1 (Reference) 103/33 1.13 (0.74 to 1.73) 39/12 1.02 (0.51 to 2.05)
Active childhood smoking, ever versus never 1786/586 1 (Reference) 103/33 0.97 (0.63 to 1.48) 39/16 1.40 (0.73 to 2.69)
RSV infection/pneumonia during infancy 1745/125 1 (Reference) 99/3 0.40 (0.13 to 1.29) 39/9 3.72 (1.71 to 8.11)
Pneumonia during age 0–4 years 1772/189 1 (Reference) 100/7 0.62 (0.29 to 1.37) 39/9 2.42 (1.12 to 5.23)
Childhood asthma during age 0–4 years 1772/179 1 (Reference) 100/17 1.81 (1.04 to 3.13) 38/11 3.26 (1.57 to 7.78)
Childhood asthma during age 4–8 years 1606/99 1 (Reference) 91/10 1.86 (0.93 to 3.70) 35/4 1.73 (0.58 to 5.11)
Childhood asthma during age 8–12 years 1589/108 1 (Reference) 93/12 1.98 (1.04 to 3.76) 36/3 1.08 (0.32 to 3.64)
Childhood asthma during age 12–16 years 1560/104 1 (Reference) 94/11 1.84 (0.95 to 3.58) 36/4 1.58 (0.54 to 4.68)
Current asthma 1783/210 1 (Reference) 100/17 2.32 (1.43 to 3.77) 39/11 2.75 (1.34 to 5.66)
NOx concentration higher than the median†
 Age 0–1 years 1767/911 1 (Reference) 103/45 0.72 (0.48 to 1.08) 39/28 2.61 (1.28 to 5.35)
 Age 1–4 years 1640/859 1 (Reference) 88/39 0.72 (0.47 to 1.11) 37/24 1.74 (0.88 to 3.44)
 Age 4–8 years 1488/742 1 (Reference) 81/38 0.88 (0.56 to 1.38) 34/21 1.71 (0.85 to 3.46)
 Age 8–12 years 1637/832 1 (Reference) 90/36 0.64 (0.41 to 0.98) 37/22 1.53 (0.78 to 2.99)
 Age 12–16 years 1453/737 1 (Reference) 82/38 0.82 (0.53 to 1.29) 33/22 2.19 (1.04 to 4.62)
PM10 concentration higher than the median‡
 Age 0–1 years 1767/914 1 (Reference) 103/47 0.78 (0.52 to 1.17) 39/29 2.96 (1.42 to 6.18)
 Age 1–4 years 1640/840 1 (Reference) 88/43 0.89 (0.58 to 1.37) 37/26 2.39 (1.16 to 4.92)
 Age 4–8 years 1488/759 1 (Reference) 81/39 0.91 (0.58 to 1.42) 34/22 1.79 (0.88 to 3.67)
 Age 8–12 years 1637/827 1 (Reference) 90/36 0.65 (0.42 to 1.00) 37/22 1.54 (0.79 to 3.02)
 Age 12–16 years 1453/742 1 (Reference) 82/36 0.76 (0.48 to 1.19) 33/21 1.85 (0.89 to 3.84)

*Details about the definitions of the covariates are provided in the online supplemental file.

†The median NOx concentration for ages 0–1, 1–4, 4–8, 8–12 and 12–16 years were 29.16, 24.21, 18.31, 13.66 and 11.16 µg/m3.

‡The median PM10 concentration for ages 0–1, 1–4, 4–8, 8–12, and 12–16 years were 14.46, 13.28, 13.33, 13.34 and 12.24 µg/m3.

NOx, nitrogen oxides; PM10, particulate matter with aerodynamic diameter <10 µm; RSV, respiratory syncytial virus.

Table 3.

Mutually adjusted analyses for reversible and irreversible airflow limitation which included age, gender, body mass index and other related factors*

Variables Normal lung function Irreversible airflow limitation
No of individuals/cases OR (95% CI) No of individuals/cases OR (95% CI)
NOx concentration during age 0–1 years†, high versus low 1261/651 1 (Reference) 29/22 3.08 (1.11 to 8.51)
NOx concentration during age 12–16 years†, high versus low 1261/637 1 (Reference) 29/21 2.12 (0.82 to 5.46)
RSV infection/pneumonia during infancy 1261/84 1 (Reference) 29/8 3.59 (1.41 to 9.14)
Childhood asthma during age 0–4 years 1261/127 1 (Reference) 29/8 3.36 (1.22 to 9.24)
Childhood asthma during age 4–8 years 1261/78 1 (Reference) 29/2 0.32 (0.06 to 1.81)
Childhood asthma during age 8–12 years 1261/82 1 (Reference) 29/1 0.16 (0.02 to 1.43)
Childhood asthma during age 12–16 years 1261/78 1 (Reference) 29/3 1.31 (0.32 to 5.44)
Current asthma 1261/144 1 (Reference) 29/7 3.51 (1.22 to 10.15)
Variables Normal lung function Reversible airflow limitation
Parental asthma 1317/253 1 (Reference) 77/28 2.17 (1.31 to 3.58)
NOx concentration during age 8–12 years†, high versus low 1317/654 1 (Reference) 77/34 0.82 (0.51 to 1.32)
Childhood asthma during age 0–4 years 1317/137 1 (Reference) 77/14 1.37 (0.68 to 2.75)
Childhood asthma during age 4–8 years 1317/84 1 (Reference) 77/9 0.92 (0.36 to 2.34)
Childhood asthma during age 8–12 years 1317/88 1 (Reference) 77/10 1.22 (0.50 to 2.97)
Childhood asthma during age 12–16 years 1317/87 1 (Reference) 77/10 1.21 (0.51 to 2.86)
Current asthma 1317/154 1 (Reference) 77/16 1.49 (0.72 to 3.11)

*Details about the definitions of covariates are provided in the online supplemental file.

†The median NOx concentration for ages 0–1, 8–12 and 12–16 years were 29.16, 13.66 and 11.16 µg/m3.

NOx, nitrogen oxides; RSV, respiratory syncytial virus.

In summary, we found the overall prevalence of reversible and irreversible airflow limitation to be rather high (5.3% and 2.0%, respectively), considering the young age of the participants. Individuals with irreversible airflow limitation more often reported current respiratory symptoms and pneumonia compared with those with normal lung function. Besides, more severe lung function impairments were observed in individuals with irreversible airflow limitation. Thus, there was a substantial disease burden in participants with irreversible airflow limitation. Results from previous epidemiology studies demonstrate that abnormal lung development plays an important role in the development of COPD and a substantial proportion of subjects diagnosed with COPD after age 50 could be traced back to a relatively low peak lung function in their 20s.8 Our current findings extend those results by demonstrating that irreversible airflow limitation is present in young adults. This was observed despite most of them being non-smokers, and ever-smokers having smoked on average less than one pack-year. Moreover, although only 28% of the irreversible airflow limitation subjects were classified as having current asthma, enhanced airway reversibility was observed, which suggests that, at this early stage of disease, reversibility is to some extent present.

In our study, early-life respiratory infections (RSV infection/pneumonia) and exposure to air pollutants, as well as childhood asthma, were identified as strong risk factors for irreversible airflow limitation. Given that air pollution levels in Stockholm are comparatively low by international standards, this makes the current findings alarming in a global context. Early risk factors may influence lung function development in a negative manner that will likely track with age,9 and in the current study, these early lung insults were even stronger risk factors for irreversible airflow limitation than smoking exposure in childhood and active smoking in adolescence. Thus, early-life exposure to air pollutants emerges as an important risk factor, known to be associated with not only lung development,6 but also with childhood pneumonia10 and asthma.11

In our study, the only identified independent risk factor for reversible airflow limitation was parental asthma, which suggests that the reversible airflow limitation phenotype relates primarily to asthma heredity, rather than to impaired lung development.

Our study has the drawback of a relatively small irreversible airflow limitation sample size and only around 50% of the initial 4089 cohort participants provided pre-BD and post-BD spirometry data at 24 years of age. However, no selection bias could be identified so far in the BAMSE cohort.4

In conclusion, this study forwards evidence that among young adults in their 20s, the prevalence was 5.3% for reversible airflow limitation and 2.0% for irreversible airflow limitation. While parental asthma emerges as the only risk factor for development of reversible airflow limitation, the risk factors for development of irreversible airflow limitation were current asthma, childhood respiratory tract infections and asthma, and exposure to air pollution.

Footnotes

Contributors: JH, AL and EM designed the study and outlined the contents of the manuscript. GW was responsible for the practical conduct of the study, including the planning, coordination and analyzes of the data, and the writing the manuscript under the supervision by EM. JH had overall responsibility for the lung function measurements at 24 years of age. GP and OG had overall responsibility for the air pollution data. PUB, CJ, MvH, AG, AB, SG and IK revised the work critically for the content. All authors contributed to the interpretation of the data and approved the final manuscript prior to its submission.

Funding: This study was supported by grants from the Swedish Research Council, the Swedish Research Council for Health, Working Life and Welfare, Formas, the Swedish Heart-Lung Foundation, the European Research Council (TRIBAL, grant agreement 757919), Strategic Research Area (SFO) Epidemiology, Karolinska Institutet and Region Stockholm (ALF project, and for cohort and database maintenance), Swedish Asthma and Allergy Association’s Research Foundation. The Cancer and Allergy Foundation and the Swedish Association for Allergology (through the Major research grant sponsored by Novartis, Sanofi, Mylan, GSK, Astra Zeneca). The King Gustaf V 80th Birthday Foundation. The Hesselman Foundation. Thermo Fisher Scientific (Uppsala, Sweden) provided reagents for IgE analyses. GW is sponsored by the China Scholarship Council (CSC, File No. 201906240227).

Disclaimer: The funders had no role in designing the project or interpretation of data.

Competing interests: EM reports personal fees from Sanofi, Chiesi and AstraZeneca, outside the submitted work.

Provenance and peer review: Not commissioned; externally peer reviewed.

References

  • 1. Agustí A, Faner R. Copd beyond smoking: new paradigm, novel opportunities. Lancet Respir Med 2018;6:324–6. 10.1016/S2213-2600(18)30060-2 [DOI] [PubMed] [Google Scholar]
  • 2. Melén E, Guerra S, Hallberg J, et al. Linking COPD epidemiology with pediatric asthma care: implications for the patient and the physician. Pediatr Allergy Immunol 2019;30:589–97. 10.1111/pai.13054 [DOI] [PubMed] [Google Scholar]
  • 3. Çolak Y, Afzal S, Nordestgaard BG, et al. Prevalence, characteristics, and prognosis of early chronic obstructive pulmonary disease. The Copenhagen general population study. Am J Respir Crit Care Med 2020;201:671–80. 10.1164/rccm.201908-1644OC [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Melén E, Bergström A, Kull I, et al. Male sex is strongly associated with IgE-sensitization to airborne but not food allergens: results up to age 24 years from the BAMSE birth cohort. Clin Transl Allergy 2020;10:15. 10.1186/s13601-020-00319-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Wang G, Hallberg J, Bergström PU, et al. Assessment of chronic bronchitis and risk factors in young adults: results from BAMSE. Eur Respir J 2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Schultz ES, Hallberg J, Bellander T, et al. Early-Life exposure to traffic-related air pollution and lung function in adolescence. Am J Respir Crit Care Med 2016;193:171–7. 10.1164/rccm.201505-0928OC [DOI] [PubMed] [Google Scholar]
  • 7. Quanjer PH, Stanojevic S, Cole TJ, et al. Multi-Ethnic reference values for spirometry for the 3-95-yr age range: the global lung function 2012 equations. Eur Respir J 2012;40:1324–43. 10.1183/09031936.00080312 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Bui DS, Lodge CJ, Burgess JA, et al. Childhood predictors of lung function trajectories and future COPD risk: a prospective cohort study from the first to the sixth decade of life. Lancet Respir Med 2018;6:535–44. 10.1016/S2213-2600(18)30100-0 [DOI] [PubMed] [Google Scholar]
  • 9. Stern DA, Morgan WJ, Wright AL, et al. Poor airway function in early infancy and lung function by age 22 years: a non-selective longitudinal cohort study. Lancet 2007;370:758–64. 10.1016/S0140-6736(07)61379-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Darrow LA, Klein M, Flanders WD, et al. Air pollution and acute respiratory infections among children 0-4 years of age: an 18-year time-series study. Am J Epidemiol 2014;180:968–77. 10.1093/aje/kwu234 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Gehring U, Wijga AH, Hoek G, et al. Exposure to air pollution and development of asthma and rhinoconjunctivitis throughout childhood and adolescence: a population-based birth cohort study. Lancet Respir Med 2015;3:933–42. 10.1016/S2213-2600(15)00426-9 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary data

thoraxjnl-2020-215884supp001.pdf (107.2KB, pdf)


Articles from Thorax are provided here courtesy of BMJ Publishing Group

RESOURCES