Asthma is a significant global health problem that affects people throughout their lives; the burden is greater among children than for adults. The incidence of asthma began to rise in the 1980s, and now affects 300 million people around the world and contributes to about 1000 deaths each day.1 The incidence and prevalence of asthma has plateaued in some countries, including Australia, but in others it continues to rise.2 Climate change will lead to increased asthma exacerbations and severity.3 In 2023, 2.8 million Australians were living with asthma, which was responsible for 2.5% of the national disease burden; it is the leading cause of disease burden in children under ten years of age.4 Further, asthma is frequently associated with other medical conditions, including chronic obstructive pulmonary disease (COPD), ischaemic heart disease, and stroke.5
Despite limited breakthroughs in both prevention and treatment, a definitive cure for asthma remains elusive, and the overall prevalence of asthma in Australia has not substantially changed over the past 20 years (12% in 2001, 11% in 2022).6
One obstacle that hinders progress to prevention and cure is that not all asthma is the same. Asthma varies in terms of underlying mechanisms, progression, and consequences; “asthma” describes the symptoms and pathophysiology rather than their causes. The term is used to describe episodic difficulty in breathing, usually accompanied by wheeze, caused by narrowed airways and excessive mucus production. We use this term because, unlike many diseases, we do not know the underlying causes of asthma. It is increasingly recognised that asthma has several distinct underlying mechanisms, each characterised by specific molecular signatures (endotypes) that are manifested clinically as different forms of asthma (phenotypes), which can differ by age of onset, severity, treatment response, and other clinical features.7
Each asthma endotype/phenotype combination is likely to be associated with a distinct life course trajectory, persisting, resolving, or relapsing over time, depending on factors that influence causation, persistence, progression, and remission throughout life. The key to preventing and curing asthma lies in disentangling the distinct asthma types in order to identify their causes, underlying mechanisms, and long term consequences. We can then determine the best diagnostic tests and predictive biomarkers for different types of asthma. This will facilitate identifying people at risk of asthma, encourage the development of preventive and management approaches, and promote the search for new therapies for all asthma types, with a particular focus on those that are associated with disease persistence, relapse, and progression. Comprehensive understanding of asthma trajectories across the entire lifespan is therefore crucial for effective prevention and management, and for achieving a cure.
Advances in untangling the clinical phenotypes of adult asthma have primarily focused on inflammatory phenotypes. Determining the predominant immune response — eosinophilic, neutrophilic, or paucigranulocytic — has markedly improved precision care for asthma in adults.8 It is also known that the prevalence and severity of asthma differ by sex9 and age. Sex hormones may protect against asthma, particularly testosterone, the levels of which increase in boys during puberty and decline in mid‐adulthood. An inverse relationship between testosterone level and asthma prevalence has been reported, but the precise mechanisms underlying this relationship remain elusive. Differences between people could be related to differences in the growth of airways and lung tissue (dysanaptic growth), which are currently being investigated.10
The first step to insights into causal, risk, and protective factors for asthma is to characterise asthma trajectories across the life course. Over the past decade, some progress has been made in unravelling lifetime asthma trajectories, including in Australian cohort studies. This research is pivotal for identifying people at high risk of asthma and identifying mechanisms underlying asthma in order to guide the development of targeted therapeutic strategies.
The prevalence of asthma in both children and adults in Australia is among the highest in the world, more than 8400 per 100 000 people (global mean: 3400 per 100 000 people).11 In response to the large asthma burden in Australia, numerous researchers have established large, long term cohort studies to study asthma. Consequently, some of the most comprehensive longitudinal studies of asthma in the world have been undertaken here. These internationally significant cohort studies provide a unique opportunity for advancing knowledge of asthma across the life course. With major advances in statistical methodologies, data‐driven approaches can be used to develop novel classifications of asthma trajectories. In parallel, novel laboratory and technological techniques are facilitating substantial progress in identifying the factors that underlie or characterise asthma phenotypes and trajectories. To assess the available information on asthma trajectories reported by Australian asthma cohort studies, we performed a narrative review.
We searched PubMed for publications about Australian studies that had characterised asthma trajectories by prospectively collecting information on symptoms at three or more time points during the life course. We included all publications on asthma cohort studies, as well as other possibly relevant cohort studies undertaken in Australia, published by 31 August 2024. We summarise the findings of the included studies narratively.
Australian asthma cohort studies
Five Australian cohort studies have provided insights into asthma trajectories using both traditional manual methods and data‐driven techniques to identify trajectories. Together they have identified factors that influence these trajectories and their outcomes (Box 1). Differences between the studies in their research questions, ages at assessment, analysis methods, and ages at outcome assessment mean that their findings in terms of specific trajectories and associations differ. We therefore summarise the findings of each study separately. These methodological differences also add impetus to pursuing harmonisation of the cohort studies to derive more consistent outcomes.
The Tasmanian Longitudinal Health Study (TAHS) is uniquely positioned to provide insights into asthma across the life course with its extensive data collection and long term follow‐up spanning both childhood and adulthood. The population‐based study followed Tasmanian children born in 1961 from the age of seven years (in 1968), and continues to follow this cohort, now in their seventh decade of life. The study initially enrolled 8583 children (98.8% of children aged seven years attending Tasmanian schools); they were followed up at ages 14, 21, 30, 43, and 53 years, and further assessments will be undertaken.12
At each follow‐up, comprehensive questionnaires collected information on respiratory health (including asthma), socio‐demographic characteristics, lifestyle factors, and medical conditions; clinical evaluations included lung and other respiratory function tests, skin prick tests, and blood sample collection. Using a statistical method to model the natural history of asthma over time, group‐based trajectory modelling, the study authors modelled lifetime asthma trajectories for participants with a history of asthma from age seven to 53 years. They identified five lifetime asthma trajectories, based on age of onset and remission:
- early‐onset adolescent remitting (40% of participants who had ever had asthma), which had resolved almost entirely by adolescence;
- early‐onset adult remitting (11%), which resolved by adulthood;
- early‐onset persistent (9%), which persisted throughout life;
- late‐onset remitting (13%), which resolved in later adulthood; and
- late‐onset persistent (27%), which persisted indefinitely.13
The risk of the early onset persistent trajectory was greatest for children who experienced multiple infections and allergies during early life. Differences in asthma‐related genetic markers were also reported for the different trajectories.13
One striking finding was that asthma, irrespective of whether it resolved or persisted throughout life, was associated with adverse health outcomes later in life. Most of the asthma trajectories were associated with increased risks of developing other pulmonary and extra‐pulmonary medical conditions, including COPD by the age of 53 years. People in the persistent asthma trajectory groups were almost seven times (adult‐onset persistent) or nine times (child‐onset persistent) as likely to develop COPD as people without asthma. The risk of later COPD was also two to 3.6 times as high for people in the childhood asthma remitting trajectory groups, indicating the need for lifetime monitoring of people with a history of asthma. Both early‐ and late‐onset trajectories were associated with poorer mental health, and late‐onset trajectories were also associated with greater risk of cardiovascular disease (Box 2).
Using a different data‐driven technique, latent class analysis, later TAHS studies identified five combined trajectories of asthma and allergy across the life course from ages seven to 53 years, including people without asthma:
- minimal and least asthma and allergies (49%);
- late‐onset hay fever with no asthma (29.5%);
- early‐onset remitted asthma and allergies (6.5%);
- late onset asthma and allergies (8.8%); and
- early‐onset persistent asthma and allergies (6.2%).14
The persistent asthma and allergy trajectories were associated with increased risks of COPD by the age of 53 years: 5.3‐fold risk for the early‐onset trajectory, 3.8‐fold risk for the late‐onset trajectory. The risks of mental health and cardiovascular disorders in later life were also greater for people with these trajectories, suggesting that inflammation could be a factor in asthma, cardiovascular diseases, and mental health disorders.14
Further, immunological profiles, including the levels of various interleukins (IL) and tumour necrosis factor (TNF), were developed in TAHS as an approach to elucidating the biological mechanisms of lifetime asthma trajectories. The TAHS findings suggested that deficient IL‐10 cytokine responses may contribute to the persistence of asthma from childhood to adulthood, while downregulation of IL‐6 and TNF alpha expression was associated with remission.15
The Melbourne Atopy Cohort Study (MACS)16 focused exclusively on childhood, providing insights into childhood trajectories of wheeze, the hallmark symptom of asthma. Initiated in the 1990s, MACS is a birth cohort study that enrolled 620 children prior to their birth; they were frequently followed up every four weeks until 18 months after birth, then annually until seven years of age, and again at twelve, 18, and 25 years of age. Originally designed to investigate the role of infant formula in allergic disease in children at high risk of asthma, MACS has evolved into one of the first cohort studies focused on factors that influence asthma and allergic disease, amassing extensive questionnaire, clinical assessment, and biospecimen data.16
The MACS investigation of wheeze trajectories from birth to seven years using latent class analysis was among the first in the world. Five distinct wheeze trajectories were identified: never/infrequent (42.7%); early transient wheeze (27.5%); early persistent wheeze (5.7%); intermediate‐onset wheeze (20.7%); and late‐onset wheeze (3.5%). These findings indicated that specific early life factors could initiate each trajectory. Early transient wheeze was related to frequent viral lower respiratory tract infections during early childhood. Early persistent wheeze appeared to be driven by lower respiratory tract infections and reactivity to allergens, wherein two distinct respiratory system insults contributed to asthma development (two‐hit hypothesis). The intermediate‐onset wheeze trajectory was associated with childhood allergies, including eczema and sensitisation to food and aeroallergens, while the late‐onset wheeze trajectory was associated with exposure to parental smoking.17 Importantly, all persistent wheezing trajectories included reduced lung function by 18 years of age,18 underscoring the long term impact of early wheeze trajectories on respiratory health.
The Longitudinal Study of Australian Children birth cohort also contributed to knowledge of factors driving lifetime asthma and wheeze trajectories.19,20,21,22 This cohort study, conducted in partnership with the Australian Department of Social Services, the Australian Institute of Family Studies, and the Australian Bureau of Statistics, commenced in March 2003 with 5107 children and has collected data every two years. In the eight waves of data collected to date (from birth to 15 years) and using group‐based trajectory modelling, this cohort study has identified three trajectories: low/no asthma, transient high asthma, and persistent high asthma. Poor housing,20 exposure to heavy traffic,21 and psychosocial stressors22 contributed to the transient and persistent asthma trajectories, indicating the role of environmental and social factors in asthma development and its persistence throughout childhood.
The Childhood Asthma Prevention Study, initially established as a randomised controlled trial of interventions for reducing asthma incidence, has evolved into an observational cohort study.23 Data from birth to 11.5 years were used to model the natural transitions of asthma, related symptoms, and allergy through childhood using latent transition analysis.24 The study findings support the characterisation of distinct asthma trajectories with unique causes and natural histories.
The Raine study is a longitudinal birth cohort study in Perth, Western Australia,25 that recruited 2900 pregnant women during 1989–1991 and followed their 2868 offspring eighteen times over 34 years. Four longitudinal asthma trajectories26 were manually defined according to data collected at six, 14, and 22 years of age: no asthma, early‐onset asthma only (at age six years), late‐onset asthma only (at age 14 or 22 years), and persistent asthma (at both the early and late timepoints). Higher prenatal in utero exposure to environmental plastic‐related toxins was associated with certain asthma trajectories: exposure to bisphenol A with persistent asthma in men, and to phthalates with adult‐onset asthma in men.26
Other studies that have collected asthma‐relevant data in Australia
Several other cohort studies have collected data and biospecimens in Australia that could contribute to asthma prevention and potential cures (Box 3):
- the Barwon Infant Study (BIS) has followed a birth cohort of more than 1000 infant–mother pairs since 2010, providing rich datasets and biospecimens;28
- the Melbourne Epidemiological Study of Childhood Asthma (MESCA) has tracked children since 1964;29
- the Generation Victoria (Gen V) study at the Murdoch Children’s Research Institute began in 2021 and is following 120 000 children;30
- the HealthNuts study recruited 5276 one‐year‐old children in 2007 and recently completed its 15‐year follow‐up assessments;31
- the Perth Infant Asthma Follow‐up study followed 253 children from birth to 24 years and gathered comprehensive data on airway responsiveness and lung function as early life predictors of asthma;32 and
- the Busselton Health study began in 1966, and has regularly surveyed both child and adults in cohorts from the Busselton region of Western Australia.33
An important planned nested cohort study is the Airway Epithelium Respiratory Illnesses and Allergy (AERIAL) study in Western Australia, which aims to collect information on the airway epithelium for 400 children from in utero to five years of age.34
Additionally, Australia plays a key role in the largest international multi‐generation study of asthma that includes a parent study (European Community Respiratory Health Survey)35 and an offspring study examining pre‐conception risk factors (Respiratory Health in Northern Europe Spain and Australia, RHINESSA).36 These cohort studies are valuable resources that can improve knowledge about asthma and outcomes across the life course.
Discussion
We have reviewed the major findings of Australian cohort studies regarding asthma trajectories and the potential of these resources for advancing the Cure Asthma initiative. Given some differences in findings about the definition and characterisation of asthma trajectories, their determinants, and associated outcomes, predicting which people with asthma will experience persistent disease or develop adverse pulmonary and extra‐pulmonary conditions remains difficult. Further large scale research will be needed to identify people at risk of asthma before its onset to enable targeted interventions for preventing its development.
Major gaps in our knowledge of lifetime asthma trajectories remain, as some studies investigated early life while others investigated later life. Given the limited time periods covered by each study, a whole of life picture is not yet possible.
Biospecimens collected during Australian cohort studies offer a unique opportunity to explore the biological mechanisms and biomarkers underlying asthma trajectories. Determining predictive biomarkers and novel drug targets would pave the way to much needed breakthroughs in drug discovery. Given the far‐reaching effects of asthma across the life course, our ultimate goals are prevention and cure. We must reduce the asthma burden and its effects on lung function and other conditions in adults, including COPD, even for people for whom symptomatic asthma has resolved.
Early interventions to prevent these long term complications is essential. A notable example of how knowledge of lifetime lung health trajectories could influence clinical practice is the recent development of a free online lung function tracker tool,37 designed to assist clinicians with monitoring changes in lung function over time. Integrating asthma‐specific risk prediction algorithms into this tool would improve its clinical usefulness for preventing and managing asthma, providing a more personalised approach to managing this complex and widespread disease.
Limitations
Merging and harmonising the findings of the large cohort studies is difficult, also because of the complex ethics and data governance frameworks for each study. These aspects need to be carefully considered when establishing cohort studies, as has been done for similar European projects, such as LifeCycle.38
Conclusion
We are fortunate to have access to extensive longitudinal Australian cohort study data about people with asthma, including data collected for large international asthma cohort studies. It would be opportune to build on these unique research resources. It is essential to integrate their rich data as complementary, harmonised, and functionally useful databases, making the vast volume of data and biospecimens collected over many years accessible and usable. Using novel statistical and artificial intelligence techniques to interrogate the combined cohort datasets will enable us to comprehensively identify lifetime asthma trajectories and advance our knowledge about asthma phenotypes and endotypes, their biomarkers, and their underlying mechanisms and causes, opening the door to drug discovery and development. The challenge remains to develop creative approaches for translating discoveries into precision interventions that prevent and cure asthma.
Box 1 – Australian cohort studies that have examined asthma trajectories by prospectively collecting information on symptoms at three or more time points during the life course
|
Study |
Analysis method (participants) |
Ages assessed |
Asthma variables |
Trajectories/phenotypes |
Risk factors/outcomes |
||||||||||
|
|
|||||||||||||||
|
Tasmanian Longitudinal Health Study (TAHS), 202313 |
Group‐based trajectory modelling (1506) |
7, 13, 18, 32, 43, 50, 53 years |
Have you, at any time in your life, suffered from attacks of asthma or wheezy breathing? AND |
Early‐onset adolescent remitting (40%) |
All forms associated with COPD at 53 years except late‐onset remitting. Comorbidity greatest for late‐onset persistent (increased risk of mental health and cardiovascular conditions). |
||||||||||
|
Tasmanian Longitudinal Health Study (TAHS), 202114 |
Latent class analysis (3609) |
7, 13, 45, 53 years |
Have you, at any time in your life, suffered from attacks of asthma or wheezy breathing? AND |
Minimal or least asthma and allergies (49%) |
All groups except late‐onset hay fever associated with COPD; association strongest for early onset persistent form (and associated with COPD and lung function deficits). |
||||||||||
|
Melbourne Atopy Cohort Study (MACS), 201417 |
Latent class analysis (620) |
Every four weeks, 4–64 weeks; 18 months; annually, 2–7 years |
0–2 years: cough rattle for more than eight days, wheeze in past four weeks; |
Never/infrequent wheeze (42.7%) |
Lower respiratory tract infection, childcare, and high infant body mass index (corresponding to adult BMI ≥ 25 kg/m2) linked with early transient wheeze; breastfeeding was protective. |
||||||||||
|
Longitudinal Study of Australian Children (LSAC), 202220 |
Group‐based trajectory modelling (3864) |
0–1, 2–3, 4–5, 6–7, 8–9, 10–11, 12–13, 14–15 years |
Asthma symptoms (wheezing) on questionnaire |
Low/no asthma (69%) |
Exposure to antibiotics in early life, maternal smoking, tobacco smoke in home, poor external environment, cluttered homes, heavy traffic, maternal depression, parental financial hardship, parental stress associated with persistent high asthma and transient high asthma. |
||||||||||
|
Childhood Asthma Prevention Study (CAPS), 201624 |
Latent transition (370) |
Early childhood: 1.5, 3, 5 years. |
Questions on cough/wheeze/sneezing. |
Early childhood: |
Maternal smoking during pregnancy: reduced risk of phenotypes 1B/2B at 5 and 11.5 years; greater risk of 1C at 1.5 years. |
||||||||||
|
Western Australian Pregnancy Cohort (Raine), 202326 |
Manual asthma classification (864) |
6, 14, 22 years |
Doctor diagnosis of asthma ever AND asthma medication use or wheezing in past twelve. months |
Early onset‐transient) (only at 6 years) (39%) |
Prenatal bisphenol A associated with persistent asthma in men. |
||||||||||
|
|
|||||||||||||||
|
COPD = chronic obstructive pulmonary disease. |
|||||||||||||||
Box 2 – Conceptual diagram of lifetime asthma trajectories and related medical conditions during adulthood, based on findings of the Tasmanian Longitudinal Health Study13

COPD = Chronic obstructive pulmonary disease; GORD = gastro‐oesophageal reflux disease.
Box 3 – Australian cohort studies that could provide valuable information on asthma across the life course
|
Study |
Start year |
Age at start, in years (enrollees) |
Age at follow‐up |
Wheeze/asthma definition |
Lung function assessed |
Biological samples |
|||||||||
|
|
|||||||||||||||
|
Melbourne Epidemiological Study of Childhood Asthma (MESCA)29 |
1964 |
7 |
10,14,21,28,35,42 |
Reported presence of asthma or wheezing episodes or bronchitis. |
At all follow‐ups. |
None. |
|||||||||
|
Busselton Health studies33 |
1966 |
Various (20 000) |
Various |
Standard asthma questions. |
Spirometry: forced oscillation technique. |
None. |
|||||||||
|
Tasmanian Longitudinal Health Study (TAHS)12 |
1967 |
7 (8583) |
13, 21, 32, 43, 53, 63 years |
Standard asthma questions. |
Spirometry: 7, 13, 21, 32, 43, 53, 63 years. |
Blood: 7, 43, 53, 63 years. |
|||||||||
|
Perth Infant Asthma Follow‐up (PIAF)32 |
1987 |
0 (253) |
1, 6, 12 months; 6, 12, 18, 24 years |
Reported physician diagnosis; reported wheeze. |
Airway responsiveness to histamine: 1, 6, 12 months (rapid tidal volume VmaxFRC), and 6, 11, 18 years (spirometry). |
Blood: 6, 12, 18, 24 years. |
|||||||||
|
Western Australian Pregnancy Cohort (Raine)25 |
1989 |
Mothers: preconception; mean one year prior to birth (2868) |
1, 2, 3, 5, 14, 17, 18, 20, 22, 25, 27, 28 years |
ISAAC questions. |
Forced oscillation technique, spirometry, airway hyperresponsiveness: infant/child (5 years), adolescence (13 years), young adult (22 years). |
Cord serum, placenta, plasma (childhood, adolescence, young adult). |
|||||||||
|
Melbourne Atopy Cohort Study (MACS)16 |
1990 |
0 (620) |
Every four weeks, 4–64 weeks; 18 months; annually, 2–7 years |
MACS respiratory questions; ISAAC questions (from 12 years). |
Spirometry: 12, 18, 25 years. |
Cord blood/serum. |
|||||||||
|
European Community Respiratory Health Study (ECRHS)*35 |
1993 |
20–44 (876) |
60–84 years |
ISAAC questions. |
Spirometry: all follow‐ups. |
Blood: all follow‐ups. |
|||||||||
|
Childhood Asthma Prevention Study (CAPS)23 |
1997 |
0 (616) |
36 weeks’ gestation; 1, 3 months; every three months to 5 years; every six months to 7.5 years; 8, 9, 11 years; every three months to 14 years |
Various: |
Forced oscillation technique: 3, 5, 8,11.5, 14 years. |
Blood: at birth (cord), 1.5, 3, 5, 8, 11.5, 14 years. |
|||||||||
|
Longitudinal Study of Australian Children (LSAC)20 |
2003 |
0 (5107) |
0–1, 2–3, 4–5, 6–7, 8–9, 10–11, 12–13, 14–15 years |
Survey questions on wheeze and asthma: |
Spirometry: 11–12 years. |
Blood: 11–12 years. |
|||||||||
|
HealthNuts31 |
2007 |
1 (5278) |
1, 4, 6, 10, 15 years |
ISAAC questions. |
Spirometry: 6, 10, 15 years. |
Newborn screening cards at birth. |
|||||||||
|
Barwon Infant study (BIS)28 |
2010 |
0 (1074) |
28 weeks’ gestation; birth; 1, 3, 6, 9, 12, 18 months; 2, 4, 9 years |
ISAAC questions. |
Multiple breath washout: 4 weeks, 4 years. |
Blood: maternal (28 weeks); cord; 6 months; 1, 4, 9 years. |
|||||||||
|
Respiratory Health in Northern Europe (RHINESSA)*36 |
2014 |
18–53 (245) |
28–63 years |
ISAAC questions. |
Spirometry: both follow‐ups. |
Blood at both follow‐ups. |
|||||||||
|
Generation Victoria (GenV)30 |
2021 |
0 (120 000) |
1.5 years |
Parent reported (not yet clear). |
None yet. |
Neonatal blood. |
|||||||||
|
|
|||||||||||||||
|
ISAAC = International Study of Asthma and Allergies in Children.27 VmaxFRC = maximal forced expiratory flow at functional residual capacity. * Australian components. |
|||||||||||||||
Provenance: Not commissioned; externally peer reviewed.
- Caroline Lodge1
- Xin Dai1
- Ingrid A. Laing2,3
- Michael P Menden4,5
- Anthony Flynn6
- Gary P Anderson5
- Sarath Ranganathan7,8
- Shyamali C Dharmage1
- 1 Centre for Epidemiology and Biostatistics, the University of Melbourne, Melbourne, VIC
- 2 Wal‐yan Respiratory Research Centre, the Kids Research Institute Australia, Perth, WA
- 3 The University of Western Australia, Perth, WA
- 4 Institute of Computational Biology, Helmholtz Munich, Munich, Germany
- 5 Bio21 Molecular Science and Biotechnology Institute, the University of Melbourne, Melbourne, VIC
- 6 Asthma Australia Ltd, Sydney, NSW
- 7 The University of Melbourne, Melbourne, VIC
- 8 Murdoch Children’s Research Institute, Melbourne, VIC
Caroline Lodge and Shyamali Dharmage are supported by National Health and Medical Research Council (NHMRC) Investigator grants. The funding source had no role in this article.
Gary Anderson has received grants from the NHMRC, the Medical Research Future Fund, and the Victorian government, speaker honoraria from AstraZeneca and, GSK, and consultancy payments in the past five years from DevPro, ENA Respiratory, and Pieris Pharmaceutical. Gary Anderson is a co‐founder of Ari‐Tx, which is developing inhaled JAG‐1 antagonists to treat muco‐obstructive lung diseases. Michael Mendon consults and collaborates with and receives financial support from Roche, GSK, AstraZeneca, and MSD.
Author contribution:
All authors contributed to the conception of the paper. Caroline Lodge wrote the initial draft that was critically reviewed by all authors.
- 1. Global Initiative for Asthma. Global strategy for asthma management and prevention. 2024. https://ginasthma.org/2024‐report (viewed Oct 2025).
- 2. Asher MI, García‐Marcos L, Pearce NE, Strachan DP. Trends in worldwide asthma prevalence. Eur Respir J 2020; 56: 2002094.
- 3. Domingo KN, Gabaldon KL, Hussari MN, et al. Impact of climate change on paediatric respiratory health: pollutants and aeroallergens. Eur Respir Rev 2024; 33: 230249.
- 4. Australian Institute of Health and Welfare. Asthma. Updated 27 Nov 2024. https://www.aihw.gov.au/reports/chronic‐respiratory‐conditions/asthma (viewed Oct 2025).
- 5. Cardet JC, Bulkhi AA, Lockey RF. Nonrespiratory comorbidities in asthma. J Allergy Clin Immunol Pract 2021; 9: 3887‐3897.
- 6. Australian Bureau of Statistics. Asthma, 2022. 15 Dec 2023. https://www.abs.gov.au/statistics/health/health‐conditions‐and‐risks/asthma/latest‐release (viewed Oct 2025).
- 7. Pavord ID, Beasley R, Agusti A, et al. After asthma: redefining airways diseases. Lancet 2018; 391: 350‐400.
- 8. Gibson PG. Inflammatory phenotypes in adult asthma: clinical applications. Clin Respir J 2009; 3: 198‐206.
- 9. Chowdhury NU, Guntur VP, Newcomb DC, Wechsler ME. Sex and gender in asthma. Eur Respir Rev 2021; 30: 210067,
- 10. McGinn EA, Mandell EW, Smith BJ, et al. Dysanapsis as a determinant of lung function in development and disease. Am J Respir Crit Care Med 2023; 208: 956‐963.
- 11. Wang Z, Li Y, Gao Y, et al. Global, regional, and national burden of asthma and its attributable risk factors from 1990 to 2019: a systematic analysis for the Global Burden of Disease Study 2019. Respir Res 2023; 24: 169.
- 12. Matheson MC, Abramson MJ, Allen K, et al; TAHS investigator group. Cohort profile: the Tasmanian Longitudinal Health STUDY (TAHS). Int J Epidemiol 2017; 46: 407‐408.
- 13. Tan DJ, Lodge CJ, Walters EH, et al. Longitudinal asthma phenotypes from childhood to middle‐age: a population‐based cohort study. Am J Respir Crit Care Med 2023; 208: 132‐141.
- 14. Bui DS, Lodge CJ, Perret JL, et al. Trajectories of asthma and allergies from 7 years to 53 years and associations with lung function and extrapulmonary comorbidity profiles: a prospective cohort study. Lancet Respir Med 2021; 9: 387‐396.
- 15. Kandane‐Rathnayake RK, Tang MLK, Simpson JA, et al. Adult serum cytokine concentrations and the persistence of asthma. Int Arch Allergy Immunol 2013; 161: 342‐350.
- 16. Lowe AJ, Lodge CJ, Allen KJ, et al. Cohort profile: Melbourne Atopy Cohort study (MACS). Int J Epidemiol 2017; 46: 25‐26.
- 17. Lodge CJ, Zaloumis S, Lowe AJ, et al. Early‐life risk factors for childhood wheeze phenotypes in a high‐risk birth cohort. J Pediatr 2014; 164: 289‐294.
- 18. Lodge CJ, Lowe AJ, Allen KJ, et al. Childhood wheeze phenotypes show less than expected growth in FEV1 across adolescence. Am J Respir Crit Care Med 2014; 189: 1351‐1358.
- 19. Lu Y, Wang Y, Wang J, et al. Early‐life antibiotic exposure and childhood asthma trajectories: a national population‐based birth cohort. Antibiotics (Basel) 2023; 12: 314.
- 20. Shahunja KM, Sly PD, Chisti MJ, Mamun A. Trajectories of asthma symptom presenting as wheezing and their associations with family environmental factors among children in Australia: evidence from a national birth cohort study. BMJ Open 2022; 12: e059830.
- 21. Shahunja KM, Sly PD, Huda MM, Mamun A. Trajectories of neighborhood environmental factors and their associations with asthma symptom trajectories among children in Australia: evidence from a national birth cohort study. J Environ Health Sci Eng 2022; 20: 835‐847.
- 22. Shahunja KM, Sly PD, Mamun A. Trajectories of psychosocial environmental factors and their associations with asthma symptom trajectories among children in Australia. Pediatr Pulmonol 2024; 59: 151‐162.
- 23. Garden FL, Toelle BG, Mihrshahi S, et al. Cohort profile: the Childhood Asthma Prevention Study (CAPS). Int J Epidemiol 2018; 47: 1736.
- 24. Garden FL, Simpson JM, Mellis CM, Marks GB; CAPS Investigators. Change in the manifestations of asthma and asthma‐related traits in childhood: a latent transition analysis. Eur Respir J 2016; 47: 499‐509.
- 25. Straker L, Mountain J, Jacques A, et al. Cohort profile: the Western Australian Pregnancy Cohort (Raine) study: generation 2. Int J Epidemiol 2017; 46: 1384‐1385.
- 26. Foong RE, Franklin P, Sanna F, et al. Longitudinal effects of prenatal exposure to plastic‐derived chemicals and their metabolites on asthma and lung function from childhood into adulthood. Respirology 2023; 28: 236‐246.
- 27. Asher MI, Montefort S, Björkstén B, et al; ISAAC Phase Three Study Group. Worldwide time trends in the prevalence of symptoms of asthma, allergic rhinoconjunctivitis, and eczema in childhood: ISAAC Phases One and Three repeat multicountry cross‐sectional surveys. Lancet 2006; 368: 733‐743.
- 28. Vuillermin P, Saffery R, Allen KJ, et al. Cohort profile: the Barwon Infant Study. Int J Epidemiol 2015; 44: 1148‐1160.
- 29. Phelan PD, Robertson CF, Olinsky A. The Melbourne Asthma Study: 1964–1999. J Allergy Clin Immunol 2002; 109: 189‐194.
- 30. Hughes EK, Siero W, Gülenç A, et al. Generation Victoria (GenV): protocol for a longitudinal birth cohort of Victorian children and their parents. BMC Public Health 2025; 25: 20.
- 31. Koplin JJ, Wake M, Dharmage SC, et al. Cohort profile: the HealthNuts Study, Population prevalence and environmental/genetic predictors of food allergy. Int J Epidemiol 2015; 44: 1161‐1171.
- 32. Cox DW, Mullane D, Zhang GC, et al. Longitudinal assessment of airway responsiveness from 1 month to 18 years in the PIAF birth cohort. Eur Respir J 2015; 46: 1654‐1661.
- 33. James AL, Knuiman MW, Bartholomew HC, Musk AB. What can Busselton population health surveys tell us about asthma in older people? Med J Aust 2005; 183 (1 Suppl): S17‐S19. https://www.mja.com.au/journal/2005/183/1/supplement
- 34. Kicic‐Starcevich E, Hancock DG, Iosifidis T, et al. Airway epithelium respiratory illnesses and allergy (AERIAL) birth cohort: study protocol. Front Allergy 2024; 5: 1349741.
- 35. Burney PG, Luczynska C, Chinn S, Jarvis D. The European Community Respiratory Health Survey. Eur Respir J 1994; 7: 954‐960.
- 36. Svanes C, Johannessen A, Bertelsen RJ, et al; RHINESSA International Collaboration. Cohort profile: the multigeneration Respiratory Health in Northern Europe, Spain and Australia (RHINESSA) cohort. BMJ Open 2022; 12. e059434.
- 37. Melén E, Faner R, Allinson JP, et al; CADSET Investigators. Lung‐function trajectories: relevance and implementation in clinical practice. Lancet 2024; 403: 1494‐1503.
- 38. Jaddoe VWV, Felix JF, Andersen AN, et al; LifeCycle Project Group. The LifeCycle Project‐EU Child Cohort Network: a federated analysis infrastructure and harmonized data of more than 250 000 children and parents. Eur J Epidemiol 2020; 35: 709‐724.


Summary