Rise In Life Expectancy Research Articles

Two Decades of Progress in Personalized Medicine of Colorectal Cancer in Serbia-Insights from the Institute for Oncology and Radiology of Serbia.

It is projected that, by 2040, the number of new cases of colorectal cancer (CRC) will increase to 3.2 million, and the number of deaths to 1.6 million, highlighting the need for prevention strategies, early detection and adequate follow-up. In this study, we aimed to provide an overview of the progress in personalized medicine of CRC in Serbia, with results and insights from the Institute for Oncology and Radiology of Serbia (IORS), and to propose guidance for tackling observed challenges in the future. Epidemiological data were derived from official global and national cancer registries and IORS electronic medical records. Germline genetic testing for Lynch syndrome was performed by Next Generation Sequencing. RAS and BRAF mutation analyses were performed using qPCR diagnostic kits. Epidemiology and risk factors, prevention and early detection programs, as well as treatment options and scientific advances have been described in detail. Out of 103 patients who underwent germline testing for Lynch syndrome, 19 (18.4%) showed a mutation in MMR genes with pathogenic or likely pathogenic significance and 8 (7.8%) in other CRC-associated genes (APC, CHEK2, MUTYH). Of 6369 tested patients, 50.43% had a mutation in KRAS or NRAS genes, while 9.54% had the V600 mutation in the BRAF gene. Although significant improvements in CRC management have occurred globally in recent years, a strategic approach leading to population-based systemic solutions is required. The high incidence of young-onset CRC and the growing elderly population due to a rise in life expectancy will be especially important factors for countries with limited healthcare resources like Serbia.

Implausibility of radical life extension in humans in the twenty-first century.

Over the course of the twentieth century, human life expectancy at birth rose in high-income nations by approximately 30 years, largely driven by advances in public health and medicine. Mortality reduction was observed initially at an early age and continued into middle and older ages. However, it was unclear whether this phenomenon and the resulting accelerated rise in life expectancy would continue into the twenty-first century. Here using demographic survivorship metrics from national vital statistics in the eight countries with the longest-lived populations (Australia, France, Italy, Japan, South Korea, Spain, Sweden and Switzerland) and in Hong Kong and the United States from 1990 to 2019, we explored recent trends in death rates and life expectancy. We found that, since 1990, improvements overall in life expectancy have decelerated. Our analysis also revealed that resistance to improvements in life expectancy increased while lifespan inequality declined and mortality compression occurred. Our analysis suggests that survival to age 100 years is unlikely to exceed 15% for females and 5% for males, altogether suggesting that, unless the processes of biological aging can be markedly slowed, radical human life extension is implausible in this century.

Dysfunctional lens syndrome: a literature review

Introduction. The term “Dysfunctional Lens Syndrome” (DLS) refers to age-related changes in the lens, including early cataracts and presbyopia, that do not significantly reduce visual acuity. This syndrome is characterized by a decrease in accommodative amplitude, an increase in light scattering, and a reduction in contrast sensitivity. With rising life expectancy, the prevalence of DLS is increasing, necessitating a more in-depth study of the pathogenic mechanisms underlying the syndrome and the refinement of its diagnostic criteria to establish standards for treatment correction. Aim: to summarize information on the pathogenesis of DLS, the potential for staging the syndrome using objective examination methods, and to provide treatment recommendations. Materials and methods. A bibliographic study of scientific publications was conducted using the Pubmed, ScienceDirect, and Cyberleninka databases. Literature sources were searched using the following keywords: dysfunctional lens syndrome (DLS), presbyopia correction, cataract, age-related lens changes. A total of 32 publications, primarily from the last 10 years, were included in the study from more than 100 viewed sources. Results. The DLS encompasses a wide range of conditions, from early stages characterized by a loss of accommodative amplitude and minor refractive anomalies to later stages involving a decrease in visual acuity and quality due to increased light scattering and aberrations. Currently, the evaluation of age-related lens changes involves assessing visual acuity and determining the degree of lens opacification using slit-lamp examination. Additionally, objective instrumental methods, such as optical coherence tomography and Scheimpflug imaging, can be used to assess the degree of lens opacification. Various methods are employed for the correction and treatment of DLS, ranging from glasses and contact lenses to surgical interventions, such as lens extraction and intraocular lens implantation. Research is also ongoing into drugs aimed at slowing the progression of lens changes. Conclusion. The term “Dysfunctional Lens Syndrome” is currently used to describe early cataracts and presbyopia, where the reduction in visual acuity is still minor, but patients experience visual complaints due to age-related lens changes. Further research is necessary to develop and standardize diagnostic criteria and to evaluate the effectiveness of new treatment methods and interventions in order to create the most effective and adequate approach to correcting DLS and alleviating the associated visual complaints.

Public-Private Partnership: An Effective Solution for Providing Health Services to the Elderly

Population aging has become a significant phenomenon in the 21st century due to rising life expectancy and declining fertility rates. The global elderly population, estimated at 727 million in 2020, is projected to double by 2050, with developing countries facing a greater proportion of elderly residents. This demographic shift will impact various sectors of society, including healthcare, leading to increased demand for medical services and higher costs. Public-Private Partnerships (PPP) are an effective mechanism to improve access to health services for the elderly, enhance service quality, and manage costs. It is crucial for policymakers to explore global experiences with PPP to develop strategies that address the unique economic and social conditions in Iran, ensuring an effective response to the rapid changes in healthcare needs for the aging population.

In Silico Decoding of Parkinson's: Speech & Writing Analysis.

Background: Parkinson's disease (PD) has transitioned from a rare condition in 1817 to the fastest-growing neurological disorder globally. The significant increase in cases from 2.5 million in 1990 to 6.1 million in 2016, coupled with predictions of a further doubling by 2040, underscores an impending healthcare challenge. This escalation aligns with global demographic shifts, including rising life expectancy and a growing global population. The economic impact, notably in the U.S., reached $51.9 billion in 2017, with projections suggesting a 46% increase by 2037, emphasizing the substantial socio-economic implications for both patients and caregivers. Coupled with a worldwide demand for health workers that is expected to rise to 80 million by 2030, we have fertile ground for a pandemic. Methods: Our transdisciplinary research focused on early PD detection through running speech and continuous handwriting analysis, incorporating medical, biomedical engineering, AI, and linguistic expertise. The cohort comprised 30 participants, including 20 PD patients at stages 1-4 on the Hoehn and Yahr scale and 10 healthy controls. We employed advanced AI techniques to analyze correlation plots generated from speech and handwriting features, aiming to identify prodromal PD biomarkers. Results: The study revealed distinct speech and handwriting patterns in PD patients compared to controls. Our ParkinsonNet model demonstrated high predictive accuracy, with F1 scores of 95.74% for speech and 96.72% for handwriting analyses. These findings highlight the potential of speech and handwriting as effective early biomarkers for PD. Conclusions: The integration of AI as a decision support system in analyzing speech and handwriting presents a promising approach for early PD detection. This methodology not only offers a novel diagnostic tool but also contributes to the broader understanding of PD's early manifestations. Further research is required to validate these findings in larger, diverse cohorts and to integrate these tools into clinical practice for timely PD pre-diagnosis and management.

Endovascular treatment of chronic subdural hematoma in a dual-trained neurosurgical unit: Results and proposal of a randomized controlled trial protocol

IntroductionChronic subdural hematoma (cSDH) is a prevalent neurosurgical condition with an increasing incidence due to the rising life expectancy and the widespread use of anticoagulant and antiplatelet therapies. Insights into the inflammatory origins of cSDH led to the exploration of Middle Meningeal Artery (MMA) embolization as a therapeutic strategy. In recent years the endovascular treatment of MMA has gained momentum. Herein we present the initial experience of a dual trained neurovascular unit implementing this therapeutic technique. MethodsThis single-center, prospective pilot study aimed to evaluate the feasibility, safety, and efficacy of MMA embolization in the treatment of cSDH. Following ethical approval and informed consent, demographic, clinical, and radiological data were collected. Patients requiring emergent surgical treatment were excluded. The study focused on assessing clinical outcomes, including the Modified Rankin Score (mRS) and volumetric analysis of cSDH, before and after embolization. ResultsFifteen patients underwent MMA embolization, with a predominance of males (80%) and a mean age of 72.4 years. The most common presenting symptom was headache (53.3%). The average hospital stay was 3.9 days. Various embolization techniques were employed, with DMSO-EVOH being the most frequent. All procedures were successfully conducted without complications. Although not statistically significant, trends suggested better outcomes in patients with homogeneous cSDH on the CT scan, displaying the cotton wool sign on angiography and treated with EVOH-DMSO. ConclusionMMA embolization for cSDH demonstrates promise as a safe and effective treatment, potentially reducing the need for surgical intervention and recurrence rates. This study lays the groundwork for a larger, randomized controlled trial which protocol is herein presented.

Analysis of Characteristics of Health Status Based on Assessment of Cognitive Function in the Elderly in Indonesia

Introduction: Various challenges will arise due to the increase in elderly people yearly. In Indonesia, the effect of the demographic transition can be seen in the low birth and death rates, and the rise in life expectancy is indirectly the way to increase the number of the elderly; from sharing the problems that arise among the elderly, one of the things that need to be concerned is how to maintain cognitive function so that the elderly can maintain their health status. Objectives: to determine the relationship between characteristics and the health status of the elderly based on the results of cognitive function assessment. Methods: This study is a type of observational analytical research using a cross-sectional study design and was carried out in Gowa Regency, South Sulawesi Province, Indonesia, from August to December 2023, involving 64 older adults with the criteria of elderly people who are 60-75 years old, do not have mental disorders and can read and write. Cognitive function uses the Montreal Cognitive Assessment Indonesia version (MoCA-Ina) and is a variable to be analyzed. Results: There was a significant relationship between sex p<0.030, age p<0.027, education level p<0.001, occupation p<0.045, prayer activity p<0.001 with cognitive function, while marital status was not related to cognitive function p>0.193. Conclusion: The characteristics of the elderly in this study are related to health status based on the value of cognitive function in the elderly.

Public Health Challenges and Responses to the Growing Ageing Populations

ABSTRACTBackgroundHuman populations are rapidly ageing worldwide due to declining birth rates and rising life expectancies. This profound demographic shift presents complex public health challenges. Synthesizing evidence on key public health issues impacting ageing populations and policy strategies is required to address these needs.MethodsThe study employs narrative literature review based on the PubMed database. Data have been extracted on public health challenges to ageing populations and its recommended policy solutions.ResultsThe key public health challenges identified include rising chronic disease burden, risks for preventable multi‐morbidities and co‐morbidities, disability and dependencies, mental health issues, caregiving gaps, long‐term care system deficiencies, health inequities, healthcare access barriers, end‐of‐life care needs, financial instability, ageism/elder abuse, adverse built environments, climate/disaster threats, and social isolation. Evidence‐based policy responses span interventions in healthcare, social services, urban planning, emergency preparedness, economics, technology, anti‐ageism advocacy and so on.ConclusionsProactively addressing the array of public health challenges faced by rapidly growing ageing populations globally requires implementing collaborative, multisectoral policy solutions focused on promoting healthy, equitable, and socially engaged ageing. Healthcare systems, communities, and policies must be optimized to meet the needs of elderly people and tap into their strengths.

Multiple sclerosis in Denmark (1950-2023): mean age, sex distribution, incidence and prevalence.

With rising life expectancy and advancements in disease management, we expect the multiple sclerosis population is getting older. However, evidence supporting this hypothesis remains sparse. Our study aimed to determine whether the mean age of the Danish multiple sclerosis population has increased and to analyse the developments in sex distribution, incidence, and prevalence, all of which affect age composition. We conducted a cohort study by linking nationwide data from the Danish Multiple Sclerosis Registry to the Population Statistics Registry, the Danish Cause of Death Registry, and the Historical Migration Registry. We included all living patients with a confirmed multiple sclerosis diagnosis who lived in Denmark on the 1st of January each year from 1950 to 2023. We calculated the mean and median age, age distribution, sex distribution, incidence, and prevalence of the Danish MS population annually from 1950 to 2023. We included 28,145 individuals with multiple sclerosis. The mean age of the Danish multiple sclerosis population increased until the late 1970s to around 52.5 years, where it stabilised until 1990. The mean age experienced a slight decline to 51.2 years in 2005, followed by a subsequent rise to its peak of 54.2 years in 2023. In 1975, females comprised 58.7% of the multiple sclerosis population, increasing to 65.7% by 2000 and 68.5% in 2023. The incidence of multiple sclerosis remained stable at around 3.5 per 100,000 until 1975 and steadily increased by more than 2.5 times in 2000 to 11.4 per 100,000. Despite fluctuations, it remained relatively stable from 2000 until 2022, showing a slight decrease in 2022 compared to the previous two decades. Both overall and sex-specific prevalence exhibited an upward trend, particularly among females. Our study demonstrates that the mean age of the Danish multiple sclerosis population has increased, although not as decisively as expected. The female proportion has grown in tandem with prevalence, while incidence appears to have stabilised in recent decades after years of increase. Denmark's robust registry data and universal healthcare system offer a unique opportunity for reliable epidemiological analysis. Our results establish a benchmark for future demographic studies in the field of multiple sclerosis.

Design of A Cataract Detection System based on The Convolutional Neural Network

Cataract, a condition characterized by clouding of the eye's lens, leads to decreased vision and potentially blindness. In Indonesia, it is the predominant cause of blindness, accounting for 81.2% of cases. Given the rising life expectancy, the incidence of degenerative diseases like cataracts is expected to increase. This research aims to develop a cataract detection system capable of classifying eye images as either indicative of cataracts or normal. Utilizing Convolutional Neural Networks (CNN) and RGB-based image processing—including edge detection techniques such as Canny and Prewitt—the system identifies eye contours. This facilitates image segmentation to ascertain the eye's condition. Therefore, image collection and processing models play a crucial role in this study. The research findings indicate that the system functions effectively, with a 98% success rate in accurately processing normal eye images through the CNN model without detecting cataracts. When tested using grayscale imaging, cataract-afflicted eyes—characterized by red spots in the images—were also successfully identified by the CNN model. These test results demonstrate that the designed cataract detection system can accurately classify images into normal or cataract-afflicted eyes with high precision. This system shows promise for use in early cataract detection, potentially helping to reduce the prevalence of cataract-related blindness in Indonesia.

Public health impact of herpes zoster vaccination on older adults in Singapore: a modeling study

ABSTRACT In Singapore, population aging and rising life expectancy are increasing herpes zoster (HZ) burden, which may be reduced by vaccination. The present study modeled the public health impact of HZ vaccination in Singapore using ZOster ecoNomic Analysis (ZONA) model adapted with Singapore-specific key model inputs, where available. Base case analysis was conducted in adults ≥ 50 years of age (YOA), exploring three vaccination strategies (no vaccination, recombinant zoster vaccine [RZV], zoster vaccine live [ZVL]) under mass vaccination setting (30% coverage). Scenario and sensitivity analyses were performed. Out of 1.51 million adults in 2021 (base case population), 406,513 (27.0%) cases of HZ, 68,264 (4.5%) cases of post-herpetic neuralgia (PHN), and 54,949 (3.6%) cases of other complications were projected without vaccination. RZV was estimated to avoid 73,129 cases of HZ, 11,094 cases of PHN, and 9,205 cases of other complications over the subjects’ remaining lifetime; ZVL would avoid 17,565 cases of HZ, 2,781 cases of PHN, and 1,834 cases of other complications. The number needed to vaccinate to prevent one case of HZ/PHN was lower for RZV (7/41) than ZVL (26/163). Among all five age-stratified cohorts (50–59/60–64/65–69/70–79/≥80 YOA), RZV (versus no vaccination/ZVL) avoided the largest number of cases in the youngest cohort, 50–59 YOA. Results were robust under scenario and sensitivity analyses. Mass vaccination with RZV is expected to greatly reduce the public health burden of HZ among Singapore individuals ≥ 50 YOA. Findings support value assessment and decision-making regarding public health vaccination strategies for HZ prevention in Singapore.

Natural Language Processing for Work-Related Stress Detection Among Health Professionals: Protocol for a Scoping Review.

There is an urgent need worldwide for qualified health professionals. High attrition rates among health professionals, combined with a predicted rise in life expectancy, further emphasize the need for additional health professionals. Work-related stress is a major concern among health professionals, affecting both the well-being of health professionals and the quality of patient care. This scoping review aims to identify processes and methods for the automatic detection of work-related stress among health professionals using natural language processing (NLP) and text mining techniques. This review follows Joanna Briggs Institute Methodology and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. The inclusion criteria for this scoping review encompass studies involving health professionals using NLP for work-related stress detection while excluding studies involving other professions or children. The review focuses on various aspects, including NLP applications for stress detection, criteria for stress identification, technical aspects of NLP, and implications of stress detection through NLP. Studies within health care settings using diverse NLP techniques are considered, including experimental and observational designs, aiming to provide a comprehensive understanding of NLP's role in detecting stress among health professionals. Studies published in English, German, or French from 2013 to present will be considered. The databases to be searched include MEDLINE (via PubMed), CINAHL, PubMed, Cochrane, ACM Digital Library, and IEEE Xplore. Sources of unpublished studies and gray literature to be searched will include ProQuest Dissertations & Theses and OpenGrey. Two reviewers will independently retrieve full-text studies and extract data. The collected data will be organized in tables, graphs, and a qualitative narrative summary. This review will use tables and graphs to present data on studies' distribution by year, country, activity field, and research methods. Results synthesis involves identifying, grouping, and categorizing. The final scoping review will include a narrative written report detailing the search and study selection process, a visual representation using a PRISMA-ScR flow diagram, and a discussion of implications for practice and research. We anticipate the outcomes will be presented in a systematic scoping review by June 2024. This review fills a literature gap by identifying automated work-related stress detection among health professionals using NLP and text mining, providing insights on an innovative approach, and identifying research needs for further systematic reviews. Despite promising outcomes, acknowledging limitations in the reviewed studies, including methodological constraints, sample biases, and potential oversight, is crucial to refining methodologies and advancing automatic stress detection among health professionals. PRR1-10.2196/56267.

Development, evaluation and validation of machine learning models to predict hospitalizations of patients with coronary artery disease within the next 12 months

BackgroundImproved survival of patients after acute coronary syndromes, population growth, and overall life expectancy rise have led to a significant increase in the proportion of patients with stable coronary artery disease (CAD), creating a significant load on the entire healthcare system. The disease often progresses with the development of many complications while significantly increasing the likelihood of hospitalization. Developing and applying a machine learning model for predicting hospitalizations of patients with CAD to an inpatient medical facility will allow for close monitoring of high-risk patients, early preventive interventions, and optimized medical care. AimsDevelopment and external validation of personalized models for predicting the preventable hospitalizations of patients with stable CAD and its complications using ML algorithms and data of real-world clinical practice. Methods135,873 depersonalized electronic health records of 49,103 patients with stable CAD were included in the study. Anthropometric measurements, physical examination results, laboratory, instrumental, anamnestic, and socio-demographic data, widely used in routine medical practice, were considered as potential predictors, a total of 73 features. Logistic regression, decision tree-based methods including gradient boosting (AdaBoost, LightGBM, XGBoost, CatBoost) and bagging (RandomForest and ExtraTrees), discriminant analysis (LinearDiscriminant, QuadraticDiscriminant), and naive Bayes classifier were compared. External validation was performed on the data of a separate region. ResultsThe best results and stability to external validation data were shown by the CatBoost model with an AUC of 0.875 (95% CI 0.865–0.885) for the internal testing and 0.872 (95% CI 0.856–0.886) for the external validation. The best model showed good performance evaluated through AUROC, Brier score and standardized net benefit (for the target NPV threshold) for the validation dataset that was only slightly similar to the train data. ConclusionThe metrics of the best model were superior to previously published studies. The results of external validation demonstrated the relative stability of the model to new data from another region that confirms the possibility of the model’s application in real clinical practice.

The shifts in intergenerational relations in Cameroon and their potential impact on the health of older adults

IntroductionAfrica is experiencing a gradual demographic shift due to rising life expectancy and increasing urbanisation. In sub-Saharan Africa, elderly individuals typically reside with their children. The rise in life expectancy...

Pensions under Pressure: Unraveling the Crisis and Debating Reform in USA’s Aging Society

Abstract: This research paper critically examines the challenges facing the pension system in the United States amidst a rapidly aging society. As demographic shifts lead to an increasing proportion of the population entering retirement, the strain on pension funds intensifies. The paper delves into the intricate interplay of factors contributing to the crisis, encompassing demographic changes, economic challenges, and policy issues. Demographically, the rising life expectancy poses a significant strain on pension programs, necessitating a re-evaluation of their sustainability. Economic hurdles, including low interest rates and market volatility, further compound the issue by affecting pension fund investments. The regulatory framework and policy landscape are scrutinized to assess their efficacy in responding to the evolving needs of an aging society. This paper not only identifies the problems but engages in a comprehensive debate on potential reforms. From adjusting retirement ages to exploring innovative financial instruments, various options are considered to address the pressing challenges. The research concludes by emphasizing the urgency of finding sustainable solutions to alleviate the pressure on the pension system, ensuring the financial security of retirees in the face of an aging population. The insights presented contribute to the ongoing discourse on pension reform, seeking a balanced approach that safeguards the interests of both retirees and the stability of the pension system.

Automatic Spontaneous Speech Analysis for the Detection of Cognitive Functional Decline in Older Adults: Multilanguage Cross-Sectional Study.

The rise in life expectancy is associated with an increase in long-term and gradual cognitive decline. Treatment effectiveness is enhanced at the early stage of the disease. Therefore, there is a need to find low-cost and ecological solutions for mass screening of community-dwelling older adults. This work aims to exploit automatic analysis of free speech to identify signs of cognitive function decline. A sample of 266 participants older than 65 years were recruited in Italy and Spain and were divided into 3 groups according to their Mini-Mental Status Examination (MMSE) scores. People were asked to tell a story and describe a picture, and voice recordings were used to extract high-level features on different time scales automatically. Based on these features, machine learning algorithms were trained to solve binary and multiclass classification problems by using both mono- and cross-lingual approaches. The algorithms were enriched using Shapley Additive Explanations for model explainability. In the Italian data set, healthy participants (MMSE score≥27) were automatically discriminated from participants with mildly impaired cognitive function (20≤MMSE score≤26) and from those with moderate to severe impairment of cognitive function (11≤MMSE score≤19) with accuracy of 80% and 86%, respectively. Slightly lower performance was achieved in the Spanish and multilanguage data sets. This work proposes a transparent and unobtrusive assessment method, which might be included in a mobile app for large-scale monitoring of cognitive functionality in older adults. Voice is confirmed to be an important biomarker of cognitive decline due to its noninvasive and easily accessible nature.

Unveiling the health consequences of air pollution in the world’s most polluted nations

Air pollution poses a persuasive threat to global health, demonstrating widespread detrimental effects on populations worldwide. Exposure to pollutants, notably particulate matter with a diameter of 2.5 µm (PM2.5), has been unequivocally linked to a spectrum of adverse health outcomes. A nuanced understanding of the relationship between them is crucial for implementing effective policies. This study employs a comprehensive investigation, utilizing the extended health production function framework alongside the system generalized method of moments (SGMM) technique, to scrutinize the interplay between air pollution and health outcomes. Focusing on a panel of the top twenty polluted nations from 2000 to 2021, the findings yield substantial insights. Notably, PM2.5 concentration emerges as a significant factor, correlating with a reduction in life expectancy by 3.69 years and an increase in infant mortality rates by 0.294%. Urbanization is found to increase life expectancy by 0.083 years while concurrently decreasing infant mortality rates by 0.00022%. An increase in real per capita gross domestic product corresponds with an improvement in life expectancy by 0.21 years and a decrease in infant mortality rates by 0.00065%. Similarly, an elevated school enrollment rate is associated with a rise in life expectancy by 0.17 years and a decline in infant mortality rates by 0.00032%. However, a higher population growth rate is found to modestly decrease life expectancy by 0.019 years and slightly elevate infant mortality rates by 0.000016%. The analysis reveals that per capita greenhouse gas emissions exert a negative impact, diminishing life expectancy by 0.486 years and elevating infant mortality rates by 0.00061%, while per capita energy consumption marginally reduces life expectancy by 0.026 years and increases infant mortality rates by 0.00004%. Additionally, economic volatility shock presents a notable decrement in life expectancy by 0.041 years and an increase in infant mortality rates by 0.000045%, with inflationary shock further exacerbating adverse health outcomes by lowering life expectancy by 0.70 years and elevating infant mortality rates by 0.00025%. Moreover, the study scrutinizes the role of institutional quality, revealing a constructive impact on health outcomes. Specifically, the institutional quality index is associated with an increase in life expectancy by 0.66% and a decrease in infant mortality rates by 0.0006%. Extending the analysis to examine the nuanced dimensions of institutional quality, the findings discern that economic institutions wield a notably stronger positive influence on health outcomes compared to political and institutional governance indices. Finally, the results underscore the pivotal moderating role of institutional quality in mitigating the deleterious impact of PM2.5 concentration on health outcomes, counterbalancing the influence of external shocks, and improving the relationships between explanatory variables and health outcome indicators. These findings offer critical insights for guiding evidence-based policy implications, with a focus on fostering resilient, sustainable, and health-conscious societies.

Physical exercise and cognition in older adults, a scientific approach scanty reported in Latin America and Caribbean populations.

The advancement of public services, including the increased accessibility of health services, has led to a rise in life expectancy globally. As a result, aging populations are becoming more prevalent, raising concerns about cognitive decline. Fortunately, non-pharmacological methods, such as physical exercise, have been shown to mitigate the effects of aging on the brain. In this perspective article, we examined meta-analyses on the impact of physical exercise on cognition in older adults. The results indicate that combined exercise (i.e., aerobic plus strength training), has a significant positive effect on overall cognition and executive function. However, we found a lack of scientific studies on this topic in Latin American and Caribbean countries. Therefore, there is a pressing need for research to identify the feasibility of physical exercise interventions to improve cognitive skills in older adults from these regions.

Self-perceived muscular strength, physical activity, and Mediterranean Diet: Impact on health-related quality of life in older adults

The global rise in life expectancy poses challenges for individuals in maintaining independence, health, and quality of life. Health-related quality of life (HRQoL), a key indicator encompassing physical and mental well-being, is crucial for population health monitoring. Regular physical activity (PA), especially muscle-strengthening routines and adherence to the Mediterranean Diet (MD), positively influence HRQoL. Understanding the link between muscular strength and HRQoL is essential for effective physical activity interventions. This study explores the association between self-perceived muscular strength (MS), HRQoL, MD, and sports habits in older adults.The study followed a cross-sectional, descriptive and comparative design, with a sample of 433 physically active Spanish subjects aged 41 to 80. Stratified by MS levels, the high-level group (n= 210; 74.76% men; 57.00 years old (SD: 8.28), and the low level (n= 223; 51.50%; 71.30% men; 55.64 years (SD: 8.56). Self-reported data on MS, HRQoL, MD and PA were collected using the Physical Self-Perception Profile (PSPP 30), Health-Related Quality of Life (SF-36), Mediterranean Diet Adherence Screener (MEDAS) and Rapid Assessment of Physical Activity Questionnaire (RAPA-Q) questionnaires, respectively. An ad-hoc questionnaire captured sports habits and sociodemographic data.The higher MS group exhibited superior physical function (p=0.002, d=0.16), physical role (p=0.023, d=0.22), general health (p<0.001, d=0.61), vitality (p<0.001, d=0.52), and mental health (p<0.001, d=0.29), along with stronger adherence to the Mediterranean Diet (p<0.001, d=0.31). Logistic regression models indicated that a high MS level is associated with engagement in maintenance sports (ORcr = 1.71, 95% CI 1.17-2.50, p=0.005), practicing 3 or more sports (ORadj = 1.78, 95% CI 0.95–3.36, p = 0.028), leading a very active lifestyle (ORadj = 1.96, 95% CI 1.32–2.94, p < 0.001), and adherence to MD (ORadj = 1.64, 95% CI 1.10–2.45, p < 0.016).Engaging in diverse sports, giving priority to maintenance activities and including daily muscle-strengthening routines beyond WHO guidelines, correlates with higher self-perceived strength in older adults. This, in turn, aligns with an elevated quality of life encompassing both physical and mental health, as well as increased adherence to the Mediterranean Diet. Consideration of these factors is crucial when prescribing physical activity for this population and designing institutional health programs.

Surgical vs nonsurgical treatment for esophageal squamous cell carcinoma in patients older than 70 years: a propensity score matching analysis

PurposeWith the rising life expectancy and an aging population, it has become increasingly important to investigate treatments suitable for older adult patients with esophageal cancer. This study investigated whether older adult patients who underwent esophagectomy had better clinical outcomes than those who were nonsurgically treated. MethodsWe retrospectively analyzed patients with esophageal squamous cell carcinoma (ESCC) who were 70 years or older and underwent esophagectomy, radiotherapy (RT), and/or chemoradiotherapy (CRT) between January 2018 and December 2019. Patients were divided into 2 groups: the surgery group (S group) and the nonsurgery group (NS group). We then compared the clinical outcomes of the 2 groups. ResultsAfter a median follow-up duration of 36.6 months, the S group showed better overall survival (OS). The 3-year OS was 59% in the S group and 27% in the NS group (hazard ratio [HR], 0.397; 95% CI, 0.278-0.549; P < .0001). In the S group, the median progression-free survival was 38.3 months (95% CI, 30.6-46.1) compared with 12.3 months in the NS group (HR, 0.511; 95% CI, 0.376-0.695; P < .0001). In addition, the number of adverse events in the NS group was higher than that in the S group (P < .001). ConclusionOverall, patients with ESCC at the age of ≥70 years who underwent esophagectomy had significantly better clinical outcomes than those who underwent nonsurgical treatment with RT and/or CRT.