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Fig 1.

Directed acyclic graph showing potential time-fixed and time-dependent confounders of the association between physical activity and lung function over time in the ECRHS cohort.

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Table 1.

Description of the study population (n = 753).

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Fig 2.

Associations of physical activity with lung function over time estimated using SEMs in the ECRHS cohort.

Cov t (time-varying confounders): number of pack-years smoked, passive smoking exposure, weight. Cov f (time-fixed confounders): sex, education, age, age-squared, height, occupation, AHEI-2010 score, respiratory infection in childhood, centre. NB: The inclusion of BMI (instead of weight), menopausal status (in addition to age and age-squared), and occupational exposures compromised statistical power without substantially altering the results, thus they were not considered as covariates in the final models. β: difference in the expected lung function measure comparing active versus non-active individuals. OR: odds ratio comparing the risk of being active versus non-active for each 500 mL increase in lung function measures.

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Fig 3.

Effects of physical activity on lung function estimated using MSMs (main and sensitivity analysis) in the ECRHS cohort.

β: difference in the expected lung function measure comparing active versus non-active individuals. *Models included. number of pack-years smoked, passive smoking exposure, weight, sex, education, age, age-squared, height, occupation, AHEI-2010 score, respiratory infection in childhood), and centre.

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Fig 3 Expand

Fig 4.

Effects of frequency and duration of physical activity on lung function, estimated using MSMs in the ECRHS cohort.

β: difference in the expected lung function measure. *Models included number of pack-years smoked, passive smoking exposure, weight, sex, education, age, age-squared, height, occupation, AHEI-2010 score, respiratory infection in childhood), and centre.

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Fig 4 Expand