Does being physically active prevent future disability in older people?

• Verfasst von: Kreisel, Stefan H. [VerfasserIn]
• Verfasst von: Blahak, Christian [VerfasserIn]
• Verfasst von: Bäzner, Hansjörg [VerfasserIn]
• Verfasst von: Hennerici, Michael G. [VerfasserIn]
• Titel: Does being physically active prevent future disability in older people?
• Titelzusatz: attenuated effects when taking time-dependent confounders into account
• Verf.angabe: Stefan H. Kreisel, Christian Blahak, Hansjörg Bäzner and Michael G. Hennerici
• E-Jahr: 2017
• Jahr: 21 December 2017
• Umfang: 11 S.
• Fussnoten: Gesehen am 06.06.2018
• Titel Quelle: Enthalten in: BMC geriatrics
• Ort Quelle: London : BioMed Central, 2001
• Jahr Quelle: 2017
• Band/Heft Quelle: 17(2017) Artikel-Nummer 290, 11 Seiten
• ISSN Quelle: 1471-2318
• DOI: doi:10.1186/s12877-017-0657-3
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Age-related white matter lesions
• Sach-SW: Causal inference
• Sach-SW: Disability
• Sach-SW: Longitudinal observational studies
• Sach-SW: Marginal structural models
• Sach-SW: Physical activity
• K10plus-PPN: 1576112462

Abstract

Causal experimental evidence that physical activity prevents disability in older people is sparse. Being physically active has nonetheless been shown to be associated with disability-free survival in observational studies. Observational studies are, however, prone to bias introduced by time-dependent confounding. Time-dependent confounding occurs when an exposure (e.g. being physically active at some time-point) potentially affects the future status of a confounder (such as depression sometime later), and both variables have an effect on latter outcome (i.e. disability). “Conventional” analysis with e.g. Cox-regression is the mainstay when analyzing longitudinal observational studies. Unfortunately, it does not provide unbiased estimates in the presence of time-dependent confounding. Marginal structural models (MSM) - a relatively new class of causal models - have the potential to adequately account for time-dependent confounding.