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The four-meter gait speed (4MGS) is a recommended physical performance test in older adults but is challenging to implement clinically. We developed a smartphone application (App) with a four-meter ribbon for remote 4MGS testing at home. This study aimed to assess the validity and reliability of this smartphone App-based assessment of the home 4MGS. We assessed the validity of the smartphone App by comparing it against a gold standard video assessment of the 4MGS conducted by study staff visiting community-dwelling older adults and against the stopwatch-based measurement. Moreover, we assessed the test–retest reliability in two supervised sessions and three additional sessions performed by the participants independently, without staff supervision. The 4MGS measured by the smartphone App was highly correlated with video-based 4MGS (r = 0.94), with minimal differences (mean = 0.07 m/s, ± 1.96 SD = 0.12) across a range of gait speeds. The test–retest reliability for the smartphone App 4MGS was high (ICC values: 0.75 to 0.93). The home 4MGS in older adults can be measured accurately and reliably using a smartphone in the pants pocket and a four-meter strip of ribbon. Leveraging existing technology carried by a significant portion of the older adult population could overcome barriers in busy clinical settings for this well-established objective mobility test. [ABSTRACT FROM AUTHOR]

Objective: The aim of this analysis was to investigate the relationship of statins with institutionalisation and death in older men living in the community, accounting for frailty. Design: Prospective cohort study. Setting: Community-dwelling men participating in the Concord Health and Ageing in Men Project, Sydney, Australia. Participants: Men aged =70 years (n=1665). Measurements: Data collected during baseline assessments and follow-up (maximum of 6.79 years) were obtained. Information regarding statin use was captured at baseline, between 2005 and 2007. Proportional hazards regression analysis was conducted to estimate the risk of institutionalisation and death according to statin use (exposure, duration and dose) and frailty status, with adjustment for sociodemographics, medical diagnosis and other clinically relevant factors. A secondary analysis used propensity score matching to replicate covariate adjustment in regression models. Results: At baseline, 43% of participants reported taking statins. Over 6.79 years of follow-up, 132 (7.9%) participants were institutionalised and 358 (21.5%) participants had died. In the adjusted models, baseline statin use was not statistically associated with increased risk of institutionalisation (HR=1.60; 95% CI 0.98 to 2.63) or death (HR=0.88; 95% CI 0.66 to 1.18). There was no significant association between duration and dose of statins used with either outcome. Propensity scoring yielded similar findings. Compared with non-frail participants not prescribed statins, the adjusted HR for institutionalisation for non-frail participants prescribed statins was 1.43 (95% CI 0.81 to 2.51); for frail participants not prescribed statins, it was 2.07 (95% CI 1.11 to 3.86) and for frail participants prescribed statins, it was 4.34 (95% CI 2.02 to 9.33). Conclusions: These data suggest a lack of significant association between statin use and institutionalisation or death in older men. These findings call for real-world trials specifically designed for frail older people to examine the impact of statins on clinical outcomes. [ABSTRACT FROM AUTHOR]