Suchergebnisse

Purpose We examined joint associations of diabetes and physical activity (PA) with falls. Design Complex survey (cross-sectional) design using the 2018 Behavioral Risk Factor Surveillance System (Response rate was 53% (landline phones) and 46% (cellular phones)). Setting National survey in the U.S. Subjects Adults ≥45 years who self-reported diabetes status, PA, and falls ( n = 295,282; 98.5% of eligible samples; N = 130,103,093) were classified into 4 groups: no diabetes–PA, no diabetes–no PA, diabetes–PA, diabetes–no PA. Measures Self-reported PA, diabetes, falls, and major health characteristics. Analysis Poisson regression models were used to estimate the association of groups with any (≥1 fall) falls. Results Compared to no diabetes–active groups, no diabetes–inactive (Relative Risk (RR) = 1.22; 95% CI: 1.18, 1.26), diabetes–active (RR = 1.25; 95% CI: 1.20, 1.30), and diabetes–inactive (RR = 1.46; 95% CI: 1.41, 1.51) groups were more likely to report falls, independent of tested covariates. Conclusions Leisure-time PA may mitigate the likelihood of falls in adults with and without diabetes. Our findings could be useful for healthcare providers or clinicians to promote the importance of PA in midlife and older adults who are at risk of falls and/or diabetes. More detailed longitudinal information on objectively-estimated PA and a more frequent fall calendar are warranted to prevent recall bias and temporal ambiguity (causality between PA and falls).

Abstract

Background
Physical activity (PA) may be an important fall prevention strategy. Current PA guidelines emphasize total PA dose, but daily patterning of PA is underappreciated. With aging, PA bouts become less frequent and shorter in duration (ie, more fragmented). PA fragmentation may be an indicator of fall risk, but the relationship is not well understood. This study examined daily PA accumulation and patterns with fall risk in older adults.


Methods
Participants (n = 685, 54.3% women, 61.5% aged 70–79 years) from the National Health and Aging Trends Study with wrist-worn accelerometry PA data from Round 11 (baseline) and sample person interviews with fall data from Round 12 (follow-up) were included. PA variables were categorized into tertiles and incident falls were defined as ≥1 self-reported fall in the year following the PA assessment between baseline and follow-up. A modified Poisson approach was used to estimate the relative risk of both PA accumulation and fragmentation with falls.


Results
Overall, 40.0% reported an incident fall. After adjustment for sociodemographic and health characteristics, those in the highest tertile of total PA accumulation had lower fall risk (aRR = 0.74, 95% CI: 0.57, 0.95) and those in the highest tertile of PA fragmentation had increased fall risk (aRR = 1.33, 95% CI: 1.03, 1.73). Models were attenuated after adjustment for physical functioning.


Conclusions
PA fragmentation may identify fall risk in older adults. Longitudinal studies are needed to disentangle the temporal sequencing of the complex relationship between PA and physical functioning across the life course.