Abstract

Concerns exist that the positive association of physical activity with better lung function, which has been suggested in previous longitudinal studies in smokers, is due to reverse causation. To investigate this, we applied structural equation modeling (SEM), an exploratory approach, and marginal structural modeling (MSM), an approach from the causal inference framework that corrects for reverse causation and time-dependent confounding and estimates causal effects, on data from participants in the European Community Respiratory Health Survey (ECRHS, a multicentre European cohort study initiated in 1991–1993 with ECRHS I, and with two follow-ups: ECRHS II in 1999–2003, and ECRHS III in 2010–2014). 753 subjects who reported current smoking at ECRHS II, with repeated data on lung function at ECRHS I, II and III, physical activity at ECRHS II and III, and potential confounders at ECRHS I and II, were included in the analyses. SEM showed positive associations between physical activity and lung function in both directions. MSM suggested a protective causal effect of physical activity on lung function (overall difference in mean β (95% CI), comparing active versus non-active individuals: 58 mL (21–95) for forced expiratory volume in one second and 83 mL (36–130) for forced vital capacity). Our results suggest bi-directional causation and support a true protective effect of physical activity on lung function in smokers, after accounting for reverse causation and time-dependent confounding.

Highlights

  • Previous longitudinal population-based studies suggest a protective effect of physical activity on lung function levels among active smokers [1,2]

  • Using generalized structural equation modeling (SEM), positive associations of physical activity on lung function parameters were found at both European Community Respiratory Health Survey (ECRHS) II and III (difference in expected FEV1 (95%CI), active versus non-active: 53 mL (12, 94) and 43 mL (1, 85); difference in expected forced vital capacity (FVC) (95%CI), active versus non-active: mL (0, 98) and mL (6, 106); see Fig 2)

  • We only identified positive associations of lung function at ECRHS I on physical activity at ECRHS II (OR, 500 mL increase in FEV1 1.34 (1.09, 1.66); odds ratio (OR), 500 mL increase in FVC: 1.23 (1.04, 1.46); see Fig 2)

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Summary

Introduction

Previous longitudinal population-based studies suggest a protective effect of physical activity on lung function levels among active smokers [1,2]. The potential for reverse causation remains a common criticism, even in longitudinal studies, as both lung function and physical activity vary over time, and previous lung function levels may have affected baseline physical activity levels. This is further complicated by the possibility of time-dependent confounding, which is where a time-varying confounder (e.g., weight) is affected by previous levels of the exposure (i.e. physical activity). One study reported that the role of time-dependent confounding in the association between physical activity and lung function was of negligible magnitude, but did not consider the influence of diet, which is closely related to physical activity and weight [3]. We used statistical techniques that, unlike standard statistical methods, provide unbiased results in the presence of time-dependent confounding: structural equation modeling (SEM)–an exploratory approach and marginal structural modeling (MSM)–a causal approach

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