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. 2025 Jul;13(7):611-622.
doi: 10.1016/S2213-2600(25)00043-8. Epub 2025 May 15.

General population-based lung function trajectories over the life course: an accelerated cohort study

Affiliations

General population-based lung function trajectories over the life course: an accelerated cohort study

Judith Garcia-Aymerich et al. Lancet Respir Med. 2025 Jul.

Abstract

Background: Lung function is a key determinant of health, but current knowledge on lung function growth and decline over the life course is based on fragmented, potentially biased data. We aimed to empirically derive general population-based life course lung function trajectories, and to identify breakpoints and plateaus.

Methods: We created an accelerated cohort by pooling data from eight general population-based child and adult cohort studies from Europe and Australia. We included all participants with information on lung function, smoking status, BMI, and asthma diagnosis status from at least two visits. We used cross-classified three-level linear mixed models to derive sex-specific life course trajectories of FEV1, forced vital capacity (FVC), and FEV1/FVC ratio based on observations at ages 4-80 years, and Bayesian time-series decomposition to identify breakpoints and plateaus. We repeated sex-specific analyses with separate stratification for asthma status (never had asthma vs persistent asthma, where persistent was defined as the risk factor being present at all participant visits) and smoking status (never smoker vs persistent smoker).

Findings: The accelerated cohort included 30 438 participants born between 1901 and 2006 (15 703 [51·6%] female and 14 735 [48·4%] male; mean age 26 [SD 16] years), who provided a total of 87 666 observations (range 2-8 observations per participant). In female participants, FEV1 increased non-linearly in two phases, at a mean of 234 (95% CI 223 to 245) mL/year until age 13 (95% credible interval [CrI] 12 to 15) years, then at 99 (76 to 122) mL/year until a peak at age 20 (18 to 22) years, and subsequently decreased throughout the rest of adulthood (-26 [-27 to -25] mL/year). In male participants, the pattern was similar, with an increase in FEV1 of 271 (263 to 280) mL/year until age 16 (14 to 18) years, which slowed to 108 (93 to 124) mL/year until reaching a maximum at age 23 (21 to 25) years, decreasing thereafter (-38 [-39 to -37] mL/year), representing a later peak than in female participants. In female participants, FVC increased non-linearly in two phases, at 232 (95% CI 222 to 243) mL/year until age 14 (95% CrI 12 to 15) years, then at 77 (59 to 94) mL/year until peaking at age 20 (19 to 22) years, after which it decreased throughout the rest of adulthood (-26 [-27 to -25] mL/year). In male participants, FVC also increased in two phases, at 326 (315 to 337) mL/year until age 15 (13 to 17) years, then at 156 (144 to 168) mL/year until a peak at 23 (19 to 30) years, and subsequently declined in two phases (-22 [-29 to -14] mL/year until age 42 [38 to 50] years, then -36 [-38 to -34] mL/year thereafter). No plateau after the peak was observed for either lung function parameter in both sexes. FEV1/FVC ratio decreased throughout life from the starting age of 4 years in both sexes with some distinct patterns. Stratified analysis showed that persistent asthma (vs never had asthma) was related to an earlier FEV1 peak, lower FEV1 throughout adulthood, and lower FEV1/FVC ratio across the life course in both sexes. Persistent smoking (vs never smoking) was related to an accelerated decrease in FEV1 and FEV1/FVC ratio during adulthood in both sexes. No statistically significant plateau was observed in any lung function parameter across the strata of asthma or smoking status.

Interpretation: In both sexes, FEV1 and FVC increased in two phases, with a fast increase until around age 13-16 years, and then a slower increase until a peak. Neither parameter showed a plateau phase after the peak, and decreases started earlier than previously described. FEV1/FVC ratio decreased throughout life. These observations provide an essential, but previously unavailable, framework to assess and monitor lung health over the life course.

Funding: EU Horizon 2020, Wellcome, European Respiratory Society, AstraZeneca, Chiesi, GSK, Menarini Group, and Sanofi.

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Conflict of interest statement

Declaration of interests AA has received personal lecture fees from AstraZeneca, Chiesi, GSK, Menarini, Sanofi, Zambon, Roche, and Aerogen; his institution has received grants from GSK and AstraZeneca. SCD has received personal lecture fees from AstraZeneca, outside the submitted work; her institution has received grants from AstraZeneca and GSK. JWD has received personal lecture fees from GSK, Chiesi, Pulmonx, and AstraZeneca; his institution has received grants from GSK, AstraZeneca, Chiesi, the UK National Institute for Health and Care Research (NIHR), and Southmead Hospital Charity. GHK receives grant support to his institution from ZonMw (Vici grant), the Netherlands Lung Foundation, Health Holland, the EU, Vertex, Teva Netherlands, and GSK, outside the submitted work; his institution has received fees for consultancy or presentations from AstraZeneca, Sanofi, Boehringer Ingelheim, and PureIMS, outside the submitted work. EM has received lecture or advisory board fees from ALK, AstraZeneca, Chiesi, and Sanofi, outside the submitted work. JP's institution has received grants from AstraZeneca and GSK. JAW has received personal lecture or consulting fees from AstraZeneca, EpiEndo, GSK, Boehringer Ingelheim, Recipharm, Gilead, Novartis, Roche, Pieris, Pulmatrix, Empiricio, and Sanofi; her institution has received grants from AstraZeneca, Boehringer Ingelheim, Chiesi, GSK, Novartis, Genentech, and 37 Clinical. RF has received personal lecture fees from AstraZeneca and Chiesi, outside the submitted work; her institution has received grants from AstraZeneca, Menarini, GSK, Instituto de Salud Carlos III, the European Research Council, EU Horizon 2020, the Spanish Society of Pneumology and Thoracic Surgery, the Serra Húnter Professorship Programme, the European Respiratory Society, Chiesi, and Sanofi. JG-A, MdlH, A-EC, SA, DB, UG, TG, RG, MI, CI, AJ, SK, BL, NP-H, LS-M, MT, DV, JMV, MdV, EHW, GW, and DJ declare no competing interests. IE was unreachable at the time of final submission and therefore their declaration is unknown.

Figures

Figure 1
Figure 1
Summary of participant visits, ages, and follow-up times* according to source cohort study, and contribution of each cohort study to the accelerated cohort (absolute observation numbers) by 5-year age groups In the bubble graph and histogram, the unit of analysis is the observation (ie, person-visit). Min=minimum. Max=maximum. *This information might not match the source study characteristics, as this table reports data for participants included in the current analysis only. See the Methods section and appendix (pp 2–5) for details.
Figure 2
Figure 2
Frequency of current asthma, active smoking, and obesity by year of age in the accelerated cohort* Frequency (%) is represented by the red solid line, with 95% CIs shown in pink. Current asthma, active smoking, and obesity trends were smoothed with use of locally estimated scatterplot smoothing with a span of 0·4, applied separately to the proportions and their 95% CIs. Frequency values by year of age are provided in the appendix (pp 17–18). *The unit of analysis is the observation (ie, person-visit). Each participant contributed in at least 2 years and up to 8 years, depending on the number of visits (observations).
Figure 3
Figure 3
Sex-specific FEV1* trajectories during the life course (A) FEV1 trajectories in each cohort study and in the accelerated cohort, with 95% CIs for the accelerated cohort. (B) Mean age (with 95% CrIs) at lung function breakpoints and mean lung function change (with 95% CIs) between breakpoints. FEV1 is expressed in litres (L) and change in FEV1 is expressed in mL/year. Vertical dashed lines indicate the breakpoints, blue shading indicates 95% CrIs, and arrows indicate the mean FEV1 change between breakpoints or the mean age at breakpoints. (C) Probability of positive change (light blue), plateau (dark blue line), and negative change (blue) at each year of age of the trajectory. 95% CrI=95% credible interval. *Height-standardised and study-standardised (appendix p 15).
Figure 4
Figure 4
Sex-specific FVC* trajectories during the life course (A) FVC trajectories in each cohort study and in the accelerated cohort, with 95% CIs for the accelerated cohort. (B) Mean age (with 95% CrIs) at lung function breakpoints and mean lung function change (with 95% CIs) between breakpoints. FVC is expressed in litres (L) and change in FVC is expressed in mL/year. Vertical dashed lines indicate the breakpoints, blue shading indicates 95% CrIs, and arrows indicate the mean FVC change between breakpoints or the mean age at breakpoints. (C) Probability of positive change (light blue), plateau (dark blue line), and negative change (blue) at each year of age of the trajectory. 95% CrI=95% credible interval. FVC=forced vital capacity. *Height-standardised and study-standardised (appendix p 15).

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