Sex, rurality and socioeconomical status in Spanish centennial population (2017)

Demographic transition and hospital admissions in Spanish centenarians, 2004-2020: Geographical variations and sex-related differences

BACKGROUND

This study aims to describe the distribution and temporal trends of the centenarian population and their hospital admissions in Spain over the past two decades, focusing on regional and sex-based differences.

METHODS

A retrospective study was conducted using data from the Spanish National Health System's Hospital Discharge Records-Minimum Basic Data Set. The analysis included all hospitalized patients ≥100 years between January 2004 and December 2020. The crude annual centenarian population and admission rates were calculated. Joinpoint regression analysis and cross-correlation analysis were used to identify trends and associations.

RESULTS

From 2004 to 2020, the centenarian population in Spain increased by 89.0 %, with a larger increase observed in women (86.6 %) than men (32.9 %). Significant geographic variability was found, with rates from 1.1 to 5.2 × 10,000 inhabitants per year across different regions. Joinpoint analysis identified three trends: a decline from 2004 to 2008, an increase from 2008 to 2015, and a slower increase from 2015 to 2020. Hospital admissions of centenarians increased by 121.5 %, with a larger increase in women than men (212.1% vs 90.7 %); women represented 75.4 % of admissions. The proportion of centenarian admissions to total hospitalizations showed an upward trend until 2015 and then stabilized; it also varied among regions.

CONCLUSION

There was a significant increase in the centenarian population and hospital admissions of centenarians in Spain. There are regional disparities in their distribution, with women representing a larger proportion of centenarians and hospital admissions. Understanding these trends and differences is crucial for implementing interventions that ensure adequate healthcare for centenarians.

Regional disparities in Dementia-free Life Expectancy in Japan: An ecological study, using the Japanese long-term care insurance claims database

BACKGROUND

The number of people with dementia increases in an aging society; therefore, promoting policies for dementia throughout the community is crucial to creating a dementia-friendly society. Understanding the status of older adults with dementia in each region of Japan will be a helpful indicator. We calculated Dementia-free Life Expectancy and aimed to examine regional disparities and their associated factors.

METHODS

We calculated Dementia-free Life Expectancy and Life Expectancy with Dementia for each secondary medical area in Japan based on the Degree of Independence in Daily Living for the Demented Elderly, using data extracted from the Japanese long-term care insurance claims database. We then conducted a partial least squares regression analysis, the objective variables being Dementia-free Life Expectancy and Life Expectancy with Dementia for both sexes at age 65, and explanatory regional-level variables included demographic, socioeconomic, and healthcare resources variables.

RESULTS

The mean estimated regional-level Dementia-free Life Expectancy at age 65 was 17.33 years (95% confidence interval [CI] 17.27-17.38) for males and 20.05 years (95% CI 19.99-20.11) for females. Three latent components identified by partial least squares regression analysis represented urbanicity, socioeconomic conditions, and health services-related factors of the secondary medical areas. The second component explained the most variation in Dementia-free Life Expectancy of the three, indicating that higher socioeconomic status was associated with longer Dementia-free Life Expectancy.

CONCLUSIONS

There were regional disparities in secondary medical area level Dementia-free Life Expectancy. Our results suggest that socioeconomic conditions are more related to Dementia-free Life Expectancy than urbanicity and health services-related factors.

miR-126-3p and miR-21-5p as Hallmarks of Bio-Positive Ageing; Correlation Analysis and Machine Learning Prediction in Young to Ultra-Centenarian Sicilian Population

Human ageing can be characterized by a profile of circulating microRNAs (miRNAs), which are potentially predictors of biological age. They can be used as a biomarker of risk for age-related inflammatory outcomes, and senescent endothelial cells (ECs) have emerged as a possible source of circulating miRNAs. In this paper, a panel of four circulating miRNAs including miR-146a-5p, miR-126-3p, miR-21-5p, and miR-181a-5p, involved in several pathways related to inflammation, and ECs senescence that seem to be characteristic of the healthy ageing phenotype. The circulating levels of these miRNAs were determined in 78 healthy subjects aged between 22 to 111 years. Contextually, extracellular miR-146a-5p, miR-126-3p, miR-21-5p, and miR-181a-5p levels were measured in human ECs in vitro model, undergoing senescence. We found that the levels of the four miRNAs, using ex vivo and in vitro models, progressively increase with age, apart from ultra-centenarians that showed levels comparable to those measured in young individuals. Our results contribute to the development of knowledge regarding the identification of miRNAs as biomarkers of successful and unsuccessful ageing. Indeed, they might have diagnostic/prognostic relevance for age-related diseases.