4.5 Article

Confounding due to pre-existing diseases in epidemiologic studies on sedentary behavior and all-cause mortality: a meta-epidemiologic study

Journal

ANNALS OF EPIDEMIOLOGY
Volume 52, Issue -, Pages 7-14

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.annepidem.2020.09.009

Keywords

Epidemiologic studies; Mortality; Sedentary behavior; Confounding; Bias

Ask authors/readers for more resources

Purpose: We examined the influence of confounding due to pre-existing diseases in prospective studies on sedentary behavior and all-cause mortality. Methods: We analyzed 25 studies included in systematic reviews. The risk of confounding due to pre-existing diseases was assessed by five methodologic characteristics. Results: Sedentary behavior was associated with higher all-cause mortality. Studies with short average follow-up length had stronger magnitudes of association: 1 to less than 5 years (hazard ratio [HR], 1.58; 95% confidence interval [CI], 1.28-1.94), 5 to 9 years (HR, 1.24; 95% CI, 1.16-1.31), and 10 years or more of follow-up (HR, 1.20; 95% CI, 1.10-1.31). Studies that did not adjust for diseases at baseline, did not exclude deaths in the first years of follow-up, and did not exclude participants with diseases/conditions showed stronger associations. Studies with higher risk of confounding because of pre-existing diseases (HR, 1.40; 95% CI, 1.27-1.54) showed stronger association than lower risk studies (HR, 1.18; 95% CI, 1.10-1.27). Studies excluding participants with diseases at baseline had weaker associations compared with studies adjusting for diseases in models. Conclusions: Sedentary behavior was associated with increased all-cause mortality, although confounding due to pre-existing diseases may bias the magnitude of the association. (C) 2020 Elsevier Inc. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available