Adherence to the Mediterranean Diet and Successful aging in Greeks living in Greece and abroad: the epidemiological Mediterranean Islands Study (MEDIS)

Background: Whether older immigrant populations from the Mediterranean region, continue to follow the MD long after they immigrated is not known. Aim: Compare adherence to the MD and successful aging levels between Greeks living in Greece (GG) and Greeks living abroad (GA). Methods: Anthropometrical, clinical, psychological, sociodemographic, dietary and lifestyle parameters were assessed in a cross-sectional manner in a sample of 252 GG and 252 GA. Mediterranean Diet Score (MedDietScore range 0-55) was used to assess adherence to the MD. Successful aging was evaluated with the validated successful aging index (SAI range 0-10). Results: GA presented higher adherence to MD (p < 0.001); they were consuming significantly more cereals, legumes, vegetables, and fruits compared to GG. GG consumed significantly more dairy (3.8 ± 2.9 vs. 1.9 ± 2.2, p < 0.001) and potatoes (2.4 ± 1.6 vs. 1.9 ± 1.5, p < 0.001) compared to GA. Meat ( p = 0.27), poultry ( p = 0.72), fish ( p = 0.68), olive oil ( p = 0.16) and alcohol consumption ( p = 0.05) were comparable between the two groups (all p’s > 0.05). MedDietScore was positively associated with SAI among both groups after adjusting for possible confounders (0.041 ± 0.014, p = 0.003 GG and 0.153 ± 0.035, p < 0.001 GA). Also, legumes, cereals, fruits and vegetables were found to be beneficial for successful aging. Conclusion: Adherence to the MD is associated with higher levels of successful aging among people of the same genetic background living in different environments. However, traditional dietary habits are gradually abandoned in their native countries, when, at the same time, are considered cultural heritage and preserved accordingly among immigrants.

The epidemiology of falls in Portugal: An analysis of hospital admission data

Background Falls are a common cause of injury and pose an increased risk of morbidity, mortality, and lifelong disability. Falls encompass a troublesome definition and can pose challenges in epidemiological studies. Data on fall-related hospital admissions in Portugal remain unpublished. This study aimed to examine the epidemiology of fall-related hospital admissions in the Portuguese population between 2010 and 2018. It also aimed to examine annual rates of fall-related hospital admissions using three methodological approaches. Methods The Portuguese Hospital Morbidity Database was used to identify all cases resulting in one or more inpatient admission in public hospitals related to falls from 2010 to 2018. Fall-related hospital admissions were described by age groups, sex, geographical area of residence, and type of fall. Annual rates were computed using three approaches: i) based on the number of inpatient admissions with an ICD code of fall, ii) based on the number of patients admitted to inpatient care with an ICD code of fall, and iii) based on the number of inpatient admissions with a principal diagnosis of injury. Results Between 2010 and 2018, 383,016 fall-related admissions occurred in 344,728 patients, corresponding to 2.1% of the total number of hospitalizations during the same period. Higher rates were seen among the younger (20–25) and the oldest age groups (+85), males until the age of 60, females from the age of 60, and areas of residence with a higher aging index. An overall rate of falls per 100,000 population was estimated at 414 (based on number of admissions), 373 (based on number of patients) and 353 (based on number of admissions with a principal diagnosis of injury). Conclusions This study provides an overall picture of the landscape of falls in a scarcely explored setting. The results aim to contribute to identifying appropriate preventive interventions and policies for these populations.

Age-Related Changes in the Characteristics of the Elderly Females Using the Signal Features of an Earlobe Photoplethysmogram

Non-invasive measurement of physiological parameters and indicators, specifically among the elderly, is of utmost importance for personal health monitoring. In this study, we focused on photoplethysmography (PPG), and developed a regression model that calculates variables from the second (SDPPG) and third (TDPPG) derivatives of the PPG pulse that can observe the inflection point of the pulse wave measured by a wearable PPG device. The PPG pulse at the earlobe was measured for 3 min in 84 elderly Korean women (age: 71.19 ± 6.97 years old). Based on the PPG-based cardiovascular function, we derived additional variables from TDPPG, in addition to the aging variable to predict the age. The Aging Index (AI) from SDPPG and Sum of TDPPG variables were calculated in the second and third differential forms of PPG. The variables that significantly correlated with age were c/a, Tac, AI of SDPPG, sum of TDPPG, and correlation coefficient ‘r’ of the model. In multiple linear regression analysis, the r value of the model was 0.308, and that using deep learning on the model was 0.839. Moreover, the possibility of improving the accuracy of the model using supervised deep learning techniques, rather than the addition of datasets, was confirmed.

Knowledge Management and Operational Capacity in Water Utilities, a Balance between Human Resources and Digital Maturity–The Case of AGS

Digitalization and knowledge management in the water sector, and their impacts on performance, greatly depend on two factors: human capacity and digital maturity. To understand the link between performance, human capacity, and digital maturity, six AGS water retail utilities were compared with all Portuguese utilities using Portuguese benchmark data (2011–2019). AGS utilities achieved better results, including in compound performance indicators, which are assumed to be surrogates for digital maturity. These compound indicators were also found to correlate positively with better performance. In fact, AGS utilities show levels of non-revenue water (NRW) (<25%) below the national median (30–40%), with network replacement values similar to the national median (<0.5%). These results seem to imply that higher digital maturity can offset relatively low network replacement levels and guarantee NRW levels below the national average. Furthermore, regarding personnel aging index and digital maturity—two internally developed indicators—there was an increase in the digital maturity and aging of the staff, which, again, raises questions about long-term sustainability. The growing performance and the slight increase in digital maturity can be attributed to group-wide capacity building and digitalization programs that bring together staff from all AGS utilities in year-long activities.

Carbamazepine Levels Related to the Demographic Indicators in Groundwater of Densely Populated Area

Consumption of pharmaceuticals by people is growing. Carbamazepine (CBZ) is an extensively used anti-epileptic drug that is recalcitrant to degradation. As a result, CBZ has been widely detected in the aquatic ecosystem due to its daily consumption and drainage in sewage systems. Leakages from sewage networks and septic tanks may represent one of the main sources of CBZ in groundwater. In this study, CBZ concentrations in groundwater and their correlations with the demographic structure of the population were investigated in the densely populated Milan urban area. Seventy-six demographic variables were retrieved from the Italian Population and Housing census. Twenty-one groundwater samples were collected from unconfined and semi-confined aquifers of the Milan area and the concentration of CBZ was measured. Groundwater CBZ levels in both aquifers were associated with the demographic data within a circular buffer with a radius of 1.5 km. All data were analyzed using a multivariate statistical approach. The results showed a significant association (p < 0.05) between CBZ concentrations and specific demographic segments of the population. Higher CBZ concentrations were found to be associated with the population aged 70 years and over (aging index), and with families having children aged under 5 years (family index). In addition, the divorce index was correlated with the high concentration of CBZ, whereas the educated and sexagenarian population showed a negative correlation. Our results indicated that the contamination of CBZ follows the same pattern in unconfined and semi-confined aquifers, which are used for drinking water purposes in Milan area. Therefore, changing the CBZ consumption pattern or replacing CBZ with other drugs may strongly influence groundwater contamination of the investigated area.

The relationship between demographic indicators of public health and environmental factors in Russian cities

Results. Comparison of groups of cities with different levels of air pollution in terms of the total fertility rate and the birth-death ratio revealed significant differences between the groups in 2014 (significance levels are 0.018 and 0.025, respectively) and their absence in 2015 and 2016. At the same time, in groups of cities, with an increase in the level of air pollution, an increase in the median values of the total fertility rates and the birth-death rates is noted. Comparison of groups of cities according to the aging index revealed a significant heterogeneity of groups with different levels of air pollution in 2014, 2015, 2016: significance levels are equal to 0.0007; 0.005; 0.002 respectively. In urban groups, with an increase in air pollution, the median value of the aging index decreases. Conclusion. An analysis of the relationship between demographic indicators of population health and the level of air pollution showed that the most sensitive to the level of air pollution are indicators such as the total fertility rate, the birth-death ratio and the aging index. In groups of cities, with an increase in the level of air pollution, the median values of the total fertility rate and the birth-death ratio increase, while the median values of the aging index decrease. The results obtained are consistent with the provisions of the theory of life history evolution. This research was performed according to the Development program of the Interdisciplinary Scientific and Educational School of M.V. Lomonosov Moscow State University “The future of the planet and global environmental change”.

Geospatial Variability in Excess Death Rates during the COVID-19 Pandemic in Mexico: Examining Socio Demographic and Population Health Characteristics

Background: Mexico has suffered one of the highest COVID-19 mortality rates in the world. In this study we examined how socio-demographic and population health characteristics shape the geospatial variability in excess mortality patterns during the COVID-19 pandemic in Mexico. Methods: Weekly all-cause mortality time series for all 32 Mexican states, from January 4, 2015 to April 10, 2021, were analyzed to estimate the excess mortality rates using Serfling regression models. The association between socio-demographic, health indicators and excess mortality rates were determined using multiple linear regression analyses. Finally, we used functional data analysis to characterize clusters of states with distinct mortality growth rate curves. Results: The overall all-cause excess deaths rate during the COVID-19 pandemic in Mexico until April 10, 2021 was estimated at 39.66 per 10 000 population. The lowest excess death rates were observed in southeastern states including Chiapas (12.72), Oaxaca (13.42) and Quintana Roo (19.41) whereas Mexico City had the highest excess death rate (106.17), followed by Tlaxcala (51.99) and Morelos (45.90). We found a positive association of excess mortality rates with aging index (P value<.0001), marginalization index (P value<.0001), and average household size (P value=0.0003) in the final adjusted model (Model R2=76%). We identified four distinct clusters with qualitatively similar excess mortality curves. Conclusion: Central states exhibited the highest excess mortality rates whereas the distribution of aging index, marginalization index, and average household size explained the variability in excess mortality rates across Mexico. Our findings can help tailor interventions to mitigate the mortality impact of the pandemic.

Which National Factors Are Most Influential in the Spread of COVID-19?

The outbreak of the novel COVID-19, declared a global pandemic by WHO, is the most serious public health threat seen in terms of respiratory viruses since the 1918 H1N1 influenza pandemic. It is surprising that the total number of COVID-19 confirmed cases and the number of deaths has varied greatly across countries. Such great variations are caused by age population, health conditions, travel, economy, and environmental factors. Here, we investigated which national factors (life expectancy, aging index, human development index, percentage of malnourished people in the population, extreme poverty, economic ability, health policy, population, age distributions, etc.) influenced the spread of COVID-19 through systematic statistical analysis. First, we employed segmented growth curve models (GCMs) to model the cumulative confirmed cases for 134 countries from January 1 to August 31, 2020 (logistic and Gompertz). Thus, each country’s COVID-19 spread pattern was summarized into three growth-curve model parameters. Secondly, we investigated the relationship of selected 31 national factors (from KOSIS and Our World in Data) to these GCM parameters. Our analysis showed that with time, the parameters were influenced by different factors; for example, the parameter related to the maximum number of predicted cumulative confirmed cases was greatly influenced by the total population size, as expected. The other parameter related to the rate of spread of COVID-19 was influenced by aging index, cardiovascular death rate, extreme poverty, median age, percentage of population aged 65 or 70 and older, and so forth. We hope that with their consideration of a country’s resources and population dynamics that our results will help in making informed decisions with the most impact against similar infectious diseases.

Active and Healthy Aging After COVID-19 Pandemic in Portugal and Other European Countries: Time to Rethink Strategies and Foster Action

The population aging in Europe imposes challenges to societies that require adaptations and responses at various levels to minimize impacts and figuring out opportunities. Portugal has been committed to the World Health Organization and European Union's values and policy frameworks concerning active and healthy aging. In 2017, an inter-ministerial working group developed the National Strategy for Active and Healthy Aging. In the face of the COVID-19 pandemic that exposed the vulnerabilities of older populations, the launch of the Decade of Healthy Aging 2021–2030 and its baseline report and the 2018 Active Aging Index Analytical Report may constitute an opportunity to strategically think about the aging of the population as a national purpose in Portugal and in the other European countries that face similar challenges.