This study aimed i) to compare relative sit-to-stand power (STS_rel) values yielded by the different equations reported in the literature; ii) to examine the associations between STS_rel, derived from the equations, and age, sex, frailty and habitual gait speed (HGS); and iii) to compare the ability of the different STS_rel equations to detect frailty and low HGS in older adults. 1568 participants (>65 years) were included. STS_rel was calculated according to four validated equations. Frailty was assessed using the Frailty Trait Scale and HGS as the time to complete 3 m. ANOVA tests, regression analyses and receiver operator characteristic curves were used. There were significant differences among the STS_rel values yielded by all the equations, which were higher in men compared to women and negatively associated with age (r = -0.21 to -0.37). STS_rel was positively and negative associated to HGS and frailty, respectively, in both men (r = 0.29 to 0.36 and r = -0.18 to -0.45) and women (r = 0.23 to 0.45 and r = -0.09 to -0.57) regardless of the equation used. Area under the curve values varied between 0.68 and 0.80 for Alcazar's, 0.67-0.80 for Ruiz-Cárdenas's, 0.51-0.65 for Smith's, and 0.68-0.80 for Takai's equations. Low STS_rel indicated an increased probability of having both low HGS and frailty (OR [95%CI] = 1.6 to 4.5 [1.21 to 5.79]) for all equations with the exception of Smith's equations for frailty in women. All the equations presented adequate criterion validity, however, the Alcazar's equation showed the highest level of clinical relevance according to its ability to identify older people with frailty and low HGS.

Smartphone sensors have often been proposed as pervasive measurement systems to assess mobility in older adults due to their ease of use and low-cost. This study analyzes a smartphone-based application’s validity and reliability to quantify temporal variables during the single sit-to-stand test with institutionalized older adults. Forty older adults (20 women and 20 men; 78.9 ± 8.6 years) volunteered to participate in this study. All participants performed the single sit-to-stand test. Each sit-to-stand repetition was performed after an acoustic signal was emitted by the smartphone app. All data were acquired simultaneously with a smartphone and a digital video camera. The measured temporal variables were stand-up time and total time. The relative reliability and systematic bias inter-device were assessed using the intraclass correlation coefficient (ICC) and Bland-Altman plots. In contrast, absolute reliability was assessed using the standard error of measurement and coefficient of variation (CV). Inter-device concurrent validity was assessed through correlation analysis. The absolute percent error (APE) and the accuracy were also calculated. The results showed excellent reliability (ICC = 0.92–0.97; CV = 1.85–3.03) and very strong relationships inter-devices for the stand-up time (r = 0.94) and the total time (r = 0.98). The APE was lower than 6%, and the accuracy was higher than 94%. Based on our data, the findings suggest that the smartphone application is valid and reliable to collect the stand-up time and total time during the single sit-to-stand test with older adults.

The objectives of this systematic review were to analyse existing evidence on the efficacy of smartphone devices in promoting physical activity (PA) in patients with chronic obstructive pulmonary disease (COPD) and to identify the validity and precision of their measurements. A systematic review was undertaken across nine electronic databases: WOS Core Collection, PubMed, CINAHL, AMED, Academic Search Complete, Cochrane Central Register of Controlled Trials, SciELO, LILACS and ScienceDirect. Randomized and non-randomized controlled clinical trials were identified. To obtain additional eligible articles, the reference lists of the selected studies were also checked. Eligibility criteria and risk of bias were assessed by two independent authors. A total of eight articles met eligibility criteria. The studies were focused on promoting PA (n = 5) and the precision of device measurements (n = 3). The effectiveness of smartphones in increasing PA level (steps/day) at short and long term is very limited. Mobile-based exercise programs reported improvements in exercise capacity (i.e. incremental Shuttle-Walk-Test) at short and long term (18.3% and 21%, respectively). The precision of device measurements was good-to-excellent (r = 0.69-0.99); however, these data should be interpreted with caution due to methodological limitations of studies. The effectiveness of smartphone devices in promoting PA levels in patients with COPD is scarce. Further high-quality studies are needed to evaluate the effectiveness of smartphone devices in promoting PA levels.