Objectives We aimed to evaluate the role of SARC-F and SARC-CalF scores as risk factors for mortality in adults over 60 years of age with cancer of the Centro Médico Naval (CEMENA) in Callao, Peru during 2012–2015. Methods We performed a secondary analysis of data from a prospective cohort carried out from September 2012 to February 2013 in the Geriatrics Department of CEMENA. The outcome variable was mortality at two years of follow-up, while the exposure variable was the risk of sarcopenia assessed using the SARC-F and SARC-CalF scales. We carried out Cox proportional-hazards models to assess the role of SARC-F and SARC-CalF scores as risk factors for mortality. We estimated crude (cHR) and adjusted (aHR) hazard ratios (HR) with their respective 95% confidence intervals (95%CI). Likewise, we calculated the area under the curve (AUC) of both exposure variables in relation to mortality. Results We analyzed data from 922 elderly men with cancer; 43.1% (n=397) were between 60 and 70 years old. 21.5% (n=198) and 45.7% (n=421) were at risk of sarcopenia according to SARC-F and SARC-CalF, respectively, while the incidence of mortality was 22.9% (n=211). In the adjusted Cox regression model, we found that the risk of sarcopenia measured by SARC-F (aHR=2.51; 95%CI: 1.40–2.77) and SARC-CalF (aHR=2.04; 95%CI: 1.55–4.02) was associated with a higher risk of death in older men with cancer. In the diagnostic performance analysis, we found that the AUC for mortality prediction was 0.71 (95%CI: 0.68–0.75) for SARC-F and 0.80 (95%CI: 0.78–0.82) for SARC-CalF. Conclusions The risk of sarcopenia evaluated by SARC-F and SARC-CalF scores was associated with an increased risk of mortality in older men with cancer. Both scales proved to be useful and accessible instruments for the identification of groups at risk of mortality.

Background: Physical performance in the older adult has been extensively studied. However, only a few studies have evaluated physical performance among older adults of high Andean populations and none have studied the factors associated with it. The objective of this study was to evaluate factors associated with poor physical performance by using the Short Physical Performance Battery (SPPB) in older adults living in 11 Peruvian high Andean communities. Methods: An analytical cross-sectional study was carried out in inhabitants aged 60 or over from 11 high-altitude Andean communities of Peru during 2013-2017. Participants were categorized in two groups according to their SPPB score: poor physical performance (0-6 points) and medium/good physical performance (7-12 points). Additionally, we collected socio-demographic, medical, functional and cognitive assessment information. Poisson regression models were constructed to identify factors associated with poor physical performance. Prevalence ratio (PR) with 95% confidence intervals (95 CI%) are presented. Results: A total of 407 older adults were studied. The average age was 73.0 ± 6.9 years (range: 60-94 years) and 181 (44.5%) participants had poor physical performance (0-6 points). In the adjusted Poisson regression analysis, the factors associated with poor physical performance were: female gender (PR=1.29; 95%CI: 1.03-1.61), lack of social support (PR=2.10; 95%CI: 1.17-3.76), number of drugs used (PR=1.09; 95%CI: 1.01-1.17), urinary incontinence (PR=1.45; 95%CI: 1.16-1.82), exhaustion (PR=1.35; 95%CI: 1.03-1.75) and cognitive impairment (PR=1.89; 95%CI: 1.40-2.55). Conclusions: Almost half of the population evaluated had poor physical performance based on the SPPB. Factors that would increase the possibility of suffering from poor physical performance were: female gender, lack of social support, number of drugs used, urinary incontinence, exhaustion and cognitive impairment. Future studies with a larger sample and longitudinal follow-up are needed to design beneficial interventions for the high Andean population.

El aislamiento como medida restrictiva durante la pandemia por el virus SARS-COV-2 ha generado efectos negativos en la población, especialmente en la salud de los adultos mayores. Se realizó una revisión de la literatura empleando las bases de datos de SCOPUS, Google Scholar, PubMed y Scielo publicados a partir de diciembre de 2019. Para los resultados, se hizo la asociación de aislamiento social con COVID-19, consecuencias físicas, efectos psicológicos, enfermedades neurodegenerativas, y la evaluación y manejo. Los artículos empleados brindan información de un periodo de tiempo determinado, por lo cual se desconoce cuáles podrían ser los efectos a largo plazo, y si realmente hay una diferencia con el estado de salud previo a la pandemia. Sin embargo, es de suma importancia establecer medidas para mitigar los efectos tanto a nivel físico como mental, que estén adaptadas a la realidad de cada país.