ABSTRACT
Although determinants of life satisfaction in older adults have been well documented, research has to date failed to fully address the experience of older adults living in places with different levels of urbanization. Furthermore, there are conflictive findings regarding the type of residence environment that offers the greatest benefits for the wellbeing of older adults. Our study proposes an integrative research model to determine the nature of the relationships between loneliness, self-esteem and life satisfaction, with a particular focus on the living environment (rural-urban) of the older adults. Using a cross-sectional survey design volunteers (aged 60+) from rural (n = 198) and urban (n = 198) in Galicia (Spain) completed a questionnaire. Structural Equation Modelling (SEM) was used to test the relationships between loneliness, self-esteem and life satisfaction and multigroup analysis was performed to analyse the existence of differences in the relationships based on the area of residence of older adults. We found that higher levels of loneliness were a significant predictor of reduced life satisfaction and reduced self-esteem. Self-esteem not only increases life satisfaction, but also reduces the negative impact loneliness may have on it. Where the older adults lived had a significant effect on the relationships between loneliness, self-esteem and life satisfaction. The relationships were stronger for older adults living in urban areas. Differentiated policy initiatives should be considered, depending on the area of residence in order to increase the life satisfaction of older adults.
ABSTRACT
COVID-19 and metabolic syndrome are devastating pandemics. Effective control of metabolic parameters and their dysfunction may help prevent or minimize the acute and devastating effects of SARS-CoV-2 by reducing the local inflammatory response and blocking the entry of the virus into cells. With such consideration in mind, we gathered data from dietary surveys conducted in nine European countries to explore the relationship between actual clock hour of the large dinner meal and also interval in minutes between it and sunset in the respective countries and death rate above the median rate of per one million people as an index of mortality due to COVID-19 infection. Clock time of the dinner meal varied between 16:00 and 21:00 h across the European counties sampled, and the correlation between dinner mealtime and death rate was strongly correlated, R = 0.7991 (two-tailed p = 0.0098), with R2 explaining 63% of the variation within the data. This strong linear positive correlation indicates that the later the clock time of the dinner meal, the higher is the death rate (and vice versa). The relationship between meal timing in reference to sunset, utilized as a gross surrogate marker of the activity/rest synchronizer of circadian rhythms, and death rate was negative and even slightly stronger, R = -0.8025 (two-tailed p = 0.0092), with R2 explaining 64% of the variation within the data. This strong linear negative correlation indicates that the shorter the interval between the dinner meal and sunset, i.e., the closer the time of the largest meal of the day to bedtime, the greater is the death rate (and vice versa). Our preliminary approach to nighttime eating, in terms of the day's largest caloric intake, as a risk factor for the predisposing conditions of obesity, metabolic syndrome, type 2 diabetes, and other commonly associated comorbidities of being overweight, and death from COVID-19 infection reveals strong correlation with the time of the dinner meal, both in terms of its actual clock and circadian time.
