Estimating effects of aging and disease progression in current and former smokers using longitudinal models.

ABSTRACT:

Objectives

To separate estimates of mean change in a health outcome into components of aging and disease progression for different severity groups of chronic obstructive pulmonary disease (COPD).

Study design and methods

A longitudinal model can be used to estimate mean change in a health outcome over time. Methods to separate this change into portions due to aging and disease progression are discussed, including conditions that allow for accurate estimation. Linear mixed models were used to estimate these changes for forced expiratory volume in 1 s (FEV₁) for various COPD severity and smoking groups using a large cohort (COPDGene) followed for over 10 years.

Results

Based on an analysis of 4967 subjects, age-related loss in FEV₁ wa

SUBMITTER: Strand M 

PROVIDER: S-EPMC11541677 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature