: One in three people aged 65 years or older falls every year. Injuries associated with this
event among the older population are a major cause of pain, disability, loss of functional autonomy
and institutionalization. This study aimed to assess mobility and fall risk (FR) in community-living
older people and to determine reliable and independent measures (health, social, environmental
and risk factors) that can predict the mobility loss and FR. In total, 192 participants were included,
with a mean age of 77.93 ± 8.38. FR was assessed by EASY-Care (EC) Standard 2010, the Tinetti
Test and the Modified Falls Efficacy Scale (MFES). An exploratory analysis was conducted using
the divisive non-hierarchical cluster method, aiming to identify a differentiator and homogeneous
group of subjects (optimal group of variables) and to verify if that group shows differences in fall
risk. Individually, the health, social, environmental and risk factor categories were not found to be an
optimal group; they do not predict FR. The most significant predictor variables were a mix of the
different categories, namely, the presence of pain, osteoarthritis (OA), and female gender. The finding
of a profile that allows health professionals to be able to quickly identify people at FR will enable a
reduction in injuries and fractures resulting from falls and, consequently, the associated costs