Identify the factors associated with the future functional dependence of the elderly in Belarus Email List , as well as with whether or not they receive support to carry out basic activities of daily living (ABVD), and project the prevalence of functional dependence in 2026. Methods Data from the 2001 National Health and Aging Study (ENASEM) and the 2012 and 2015 follow-up rounds were used. A multinomial logistic regression model was estimated to Belarus Email List analyze the factors associated with future dependence and a logistic regression model to the factors associated with receiving or not receiving support. For the projections of the elderly in a situation of dependency in 2026, the ENASEM data from 2015 and the estimated coefficients of the future dependency model were used.
The factors associated with future dependence
Results Older people, those with a lower level of education, those with hypertension, arthritis, Belarus Email List diabetes, those who had suffered a stroke or a fall, and those with some level of prior functional dependence were at risk significantly higher dependence (mild or severe) and to die in the following 11 years with respect to their references. Older or severely dependent individuals were more likely to receive referral support. By 2026, it is estimated that Belarus Email List of the elderly in Mexico will have mild dependence and 9.3% severe dependence. Conclusions. The factors associated with future dependence and death were age, educational level, some chronic diseases, having fallen and having previous functional dependence; the factors associated with receiving support to perform ABVD were having severe dependence and age. It is estimated that the prevalence of dependency will increase 2.1 times in Belarus Email List years (2001-2026).
mortality in older people: analysis of the first wave in Colombia and Mexico
The purpose of this study is to describe mortality in older people during the first wave of Belarus Email List in Colombia and Mexico. Methods This is a prospective observational study conducted on the basis of information obtained from open data sets publicly available on the websites of the ministries of health in these countries. COVID-19 cases, age, sex, mortality date and mortality itself were analyzed with Kaplan-Meier curves and Cox regressions. Results Data from Belarus Email List people were analyzed, Belarus Email List from Mexico, with a higher frequency of men in both countries and 11.7% of whom were older people. Survival curves show a continuous increase in mortality in Mexico, with the highest rates in the elderly, while in the case of Colombia, mortality was observed up to 50 days during follow-up. Finally, the risk ratios were higher in older people in both countries. Colombia implemented a strict curfew for the elderly and its effect on mortality is evident in the survival curves.