older adults

Background: Long-term care facilities (LTCFs) have been harmed by the coronavirus, and older adults have remained isolated for a long time with many restrictions. The aim of this study was to measure the decline in cognitive, functional, and affective status in a care facility after the lockdown in the first wave of the COVID-19 pandemic and to compare it with previous measures in order to determine if this decline was accelerated. (2) Methods: Ninety-eight participants were recruited. Data from three retrospective pre-lockdown assessments and an additional post-lockdown assessment were analyzed. Mixed ANOVA analyses were performed according to the Clinical Dementia Rating levels, considering social-contact frequency during the lockdown as a covariate. (3) Results: The cognitive and functional scores were lower and depression scores were higher after the strict lockdown, accelerating a general pattern of decline that was already present in LTCF residents. The frequency of social contact eliminated the measurement differences in the cognitive and functional scores and the group differences in depression scores. (4) Conclusions: The effects of the SARS-CoV-2 lockdown in an LTCF were mediated by the frequency of contact. Clinical implications: Preventive measures must be taken to ensure social contact with relatives and friends and reduce the negative consequences of social isolation in LTCFs

The use of digital technology by older adults has improved in recent years in response to the need for their functional adaptation to an increasingly technological social context. Understanding this type of technological adaptation has recently become an important field of inquiry in both social and gerontological studies. Working within this framework, the aim of this study is to identify the main determinants that influence the intention of older people to use digital technology in their daily lives, using the Technological Acceptance Model. A study was carried out with the participation of 1155 people over 65 years of age in Spain. Confirmatory Factor Analysis and structural equation models (SEM) were performed. The results show that the TAM is a useful model to explain the intention of older adults to use Digital Technology, showing a high predictive power, highlighting Perceived Usefulness and Perceived Ease of Use as the main predictor variables.