Abstract

While breathing disorders (BDs) are associated with falls, most studies fail to account for overdispersion of data, and hence do not reflect nuances in association of these issues. This study explores the association between BDs, falls, and fall-related injuries with national surveillance data using advanced statistical analytical approaches.

Using BRFSS 2020 data from 252,354 adults ages 45 years and older, zero-inflation negative binomial regression (ZINB) analyses were performed to predict number of falls and fall-related injuries based on BD (None, COPD, Asthma, or Both COPD and Asthma). Models accounted for covariates including sociodemographic, health-related indicators, functional limitations, and activity of daily living (ADL) restrictions. Multiple interaction effects were examined.

Among the extensive sample of 252,354 participants, the study identified that individuals with asthma and COPD are at significantly higher risk of experiencing falls. The ZINB analysis further revealed that people with BD are more likely to report falls. Specific findings indicated that individuals with asthma were more likely to experience falls. Regarding fall-related injuries, those with both asthma and COPD were at markedly higher risk. Interaction effects analysis demonstrated that individuals with asthma who also had depression exhibited a lower likelihood of falling.

This study emphasizes the need for tailored interventions, comprehensive assessments, and a nuanced understanding of fall risk factors, considering specific combinations of health conditions and other factors. The findings challenge conventional wisdom, highlighting the potential protective role of depression in fall prevention among individuals with asthma.

Keywords: falls, injurious falls, asthma, COPD, breathing disorders, middle-aged, older adults.

How to Cite:

Nsobundu, C., Lee, S., Tasnim, S., Smith, M. L. & Ory, M. G., (2024) “Breathing Disorders as a Risk Factor for Falls among Community-Dwelling Middle-Aged and Older Adults: Results from National Surveillance Data”, Health Behavior Research 7(4). doi: https://doi.org/10.4148/2572-1836.1262