Aging Population Research Articles

Irish Amyotrophic Lateral Sclerosis Incidence: Age, Period, and Cohort Effects Using a Partial Least Squares Regression Model.

To investigate the underlying reasons for variability in the incidence rate of amyotrophic lateral sclerosis (ALS) within the Irish population between the years 1996 and 2021. The Irish ALS register was used to calculate the incidence and to subsequently extract age at diagnosis (age), year of diagnosis (period), and date of birth (cohort) for all incident patients within the study period (n = 2,771). An age-period-cohort (APC) model using partial least squares regression was constructed to examine each component separately and their respective contribution to the incidence while minimizing the well-known identifiability problem of APC effects. A dummy regression model consisting of 5 periods, 19 cohorts, and 16 age groups was used to examine nonlinear relationships within the data over time. The CIs for each of these were estimated using the jackknife method. The nonlinear model achieved R2 of 99.43% with 2-component extraction. Age variation was evident with those in the ages 65-79 years contributing significantly to the incidence (βmax = 0.0746, SE = 0.000410, CI 0.00665-0.00826). However, those aged 25-60 years contributed significantly less (βmin = -0.00393, SE = 0.000291, CI -0.00454 to -0.00340). Each successive period showed an increase in the regression model coefficient suggesting an increasing incidence over time, independent of the other factors examined-an increase of β from -0.00489 (SE = 0.000264, CI -0.00541 to -0.00437) to 0.00973 (SE = 0.000418, CI 0.0105-0.00891). A cohort effect was demonstrated showing that the contribution of those born between 1927 and 1951 contributed to a significantly greater degree than the other birth cohorts (βmax = 0.00577, SE = 0.000432, CI 0.00493-0.00662). Using the Irish population-based ALS Register, robust age, period, and cohort effects can be identified. The age effect may be accounted for by demographic shifts within the population. Changes in disease categorization, competing risks of death, and improved surveillance may account for period effects. The cohort effect may reflect lifestyle and environmental factors associated with the challenging economic circumstances in Ireland between 1927 and 1951. Age-period-cohort studies can help to account for changes in disease incidence and prevalence, providing additional insights into likely demographic and environmental factors that influence population-based disease risk.

Global, regional, and national burden of thalassemia, 1990–2021: a systematic analysis for the global burden of disease study 2021

Anemia is a significant contributor to the global disease burden, of which thalassemia is the most common hereditary anaemic disease. Previous estimates were based on data that were geographically limited and lacked comprehensive global analysis. This study provides the prevalence, incidence, mortality and disability-adjusted life years (DALYs) of thalassemia in 204 countries and regions of thalassemia between 1990 and 2021, focusing on the age structure and time trends of the disease burden. To provide effective information for health policy, allocation of medical resources and optimization of patient management programs. Using the standardised Global Burden of Disease (GBD) methodologies, we aimed to derive a more precise representation of the health burden posed by thalassemia by considering four distinct types of epidemiological data, namely the incidence at birth, prevalence, mortality and DALYs. The presented data were meticulously estimated and displayed both as numerical counts and as age-standardised rates per 100,000 persons of the population, accompanied by uncertainty interval (UI) to highlight potential statistical variability. The temporal trends spanning the years 1990-2021 were subjected to a rigorous examination utilizing Joinpoint regression analysis. This methodological approach facilitated the computation of the annual percentage change (APC) and the average annual percentage change (AAPC), along with their corresponding 95% confidence intervals (CIs). Globally, the age-standardized prevalence rates (ASPR), age-standardized incidence rates (ASIR), age-standardized mortality rates (ASMR), and age-standardized DALYs rates for thalassemia in 2021 were 18.28 per 100,000 persons (95% UI 15.29-22.02), 1.93 per 100,000 persons (95% UI 1.51-2.49), 0.15 per 100,000 persons(95% UI 0.11-0.20), and 11.65 per 100,000 persons (95% UI 8.24-14.94), respectively. Compared to 1990, these rates have decreased by 0.18 (95% UI-0.22 to-0.14), 0.25 (95% UI-0.30 to-0.19), 0.48 (95% UI-0.60 to-0.28), and 0.49 (95% UI-0.62 to-0.29) respectively. In 2021, the ASIR of thalassemia was highest in East Asia at 7.35 per 100,000 persons (95% UI 5.37-10.04), and ASMR was highest in Southeast Asia at 0.37 per 100,000 persons (95% UI 0.29-0.45).Gender comparisons showed negligible differences in disease burden, with the highest prevalence noted in children under five, decreasing with age. The global ASPR and ASMR declined from 1990 to 2021 overall, though an increasing trend in prevalence was found among the elderly. Joinpoint analysis revealed that the global ASPR increased between 2018 and 2021 (APC=9.2%, 95% CI: 4.8%-13.8%, P<0.001), ASIR decreased (APC=-7.68%, 95% CI:-10.88% to-4.36%, P<0.001), and there was a significant rise in ASMR from 2019 to 2021 (APC=4.8%, 95% CI: 0.1%-9.6%, P<0.05). Trends in ASPR and ASMR varied across regions, with notable changes in South Asia. The global burden of thalassemia, reflected in its prevalence, incidence, mortality, and DALYs, exhibits significant disparities. Geographic and demographic shifts in disease distribution have been observed from 1990 to 2021, with an overall decrease in burden, yet an increase in cases among the elderly population. Analysis of epidemiological trends over time highlights the influence of health policies and significant public health interventions on thalassemia outcomes. There data are crucial for healthcare professionals, policymakers, and researchers to refine and enhance management strategies, aiming to further mitigate thalassemia's global impact. National Natural Science Foundation of China; Guizhou Province Science and Technology Project; Guizhou Province Science and Technology Foundation of Health Commission.

Assessing Neutrophil-to-Lymphocyte Ratio as a Nutritional Indicator in Community-Dwelling Older Adults

In an aging population, there is an increasing need for easily accessible nutritional markers. To determine whether the neutrophil-to-lymphocyte ratio (NLR) can serve as an effective nutritional indicator compared to the Mini-Nutritional Assessment Short Form (MNA-SF) or other common markers such as albumin and body mass index (BMI). Data were obtained from the SABE study in Ecuador, which included participants aged 60 years or older. This cross-sectional study collected comprehensive data, including demographics, health-related factors, and physical assessments. Neutrophil and lymphocyte counts were measured by complete blood count. Nutritional status was assessed by MNA-SF, and BMI was calculated. Several physical tests were performed to evaluate the participants' functional status. Confounding variables such as age, sex, and comorbidities were considered. The final sample consisted of 1790 subjects (48.9% male). The overall median age was 68 years (IQR 64,76). BMI and lymphocytes were higher in females, while NLR was higher in males. MNA-SF showed a negative association with NLR. Similarly, lymphocyte count shows a positive association with MNA-SF. Physical tests, such as the Romberg test and the Five Times Sit-to-Stand test, also showed correlations with NLR and lymphocyte count, respectively. The study results suggest a significant relationship between NLR and lymphocytes, and nutritional status. The correlation with albumin is stronger with NLR than with BMI. The simplicity and affordability of NLR may make it suitable for routine use in several medical fields, improving our understanding of the complex relationship between nutrition, inflammation, and overall health.

The Concept of Electronic Pensioner in Some Countries Versus Romania

We aim to introduce the concept of e-pensioner (EP) with the intention of having this term used as a document within the European Union’s strategy on Artificial Intelligence (AI) for the period 2023-2027 and after implemented into the legislation of member countries. The relationship between older generations and emerging forms of digitalization and artificial intelligence is the focal point, aiming to provide an easily approachable dimension for pensioners. This article presents an analytical framework and approaches for integrating pensioners into the digital era. Following the exposition of theoretical foundations, the article delineates the use of pensioner cards in select countries worldwide. The intersection of pensioners with the digital era proves to be a fertile entry point for examining regulatory ordinances in the digital realm. A novel digital form, the AI-based digital portal, involves a technique of facial authentication for pensioners to send digital life certificates. Two key factors are named across all examined countries. The primary driver of digital transformation is propelled by the desire to enhance the efficiency and efficacy of public administration, which becomes particularly crucial as populations age, leading to increased demand for social services and competition for limited resources in the developed public sector. The innovative application of technology presents opportunities for streamlining processes, enhancing productivity, and reducing costs while concurrently improving service quality. The use of artificial intelligence (AI) in the management and administration of public pension funds stands for a natural progression of technology in the public domain. In an environment characterized by complexity and volatility, AI can provide a level of analysis and prediction that exceeds human ability. Presently, there exists a wide array of AI-powered tools for object detection, natural language processing, understanding and inference, optical character recognition, predictive analytics, anomaly detection, noise elimination, model forecasting, recommendation systems, and monitoring and observability.

Enhancing the continuing willingness of Chinese college students to engage in volunteer services for older adults

BackgroundThe ageing population presents a substantial challenge to conventional care services for older adults in China. College students’ voluntary service constitutes an integral component of youth volunteerism, and investigating their continuing willingness to engage in volunteer services to benefit older adults holds immense importance for fostering a stable and enduring framework for China’s older adults’ care team. MethodDrawing on the extended theory of reasoned action, this study establishes an analytical framework to examine the willingness of Chinese college students to engage in volunteer services for older adults. Using micro-survey data, we employ structural equation modelling and the bootstrap mediation effect test method to empirically investigate the influencing mechanism behind this willingness. Results(1) Attitude has the strongest influence on the continuing willingness of Chinese college students to engage in volunteer services for older adults, and plays a mediating role between subjective norms and continuing willingness to engage in volunteer services, which reveals the special role of attitude in the continuing engagement of Chinese college students in volunteer services for older adults. (2) Personality trait has a substantial positive impact on Chinese college students’ willingness to engage continuously in volunteer service for older adults, and subjective norms and attitudes have a chain mediating effect in this influence relationship. (3) The theoretical model constructed in this study is reasonable, reliable and robust. ConclusionThis study elucidates the potential relationship between attitude, subjective norms, personality traits and the willingness to engage in volunteer services, offering a novel perspective for understanding the continuing willingness of Chinese college students to engage in volunteer services for older adults. Furthermore, it highlights the value of incorporating the extended theory of reasoned action into the policy design of college students’ engagement in such services.

Fast Bayesian Functional Regression for Non-Gaussian Spatial Data

Functional generalized linear models (FGLM) have been widely used to study the relations between non-Gaussian response and functional covariates. However, most existing works for FGLM assume independence among observations and therefore they are of limited applicability for correlated data. A particularly important example is spatial functional data, where we observe functions over spatial domains, such as the age population curve or temperature curve at each areal unit. In this paper, we extend FGLM by incorporating spatial random effects. Especially, we study the relationship between the non-Gaussian response variable and functional covariates that are spatially observed. However, such model has computational and inferential challenges. The high-dimensional spatial random effects cause the slow mixing of Markov chain Monte Carlo (MCMC) algorithms. Furthermore, spatial confounding can lead to bias in parameter estimates and inflate their variances. To address these issues, we propose an efficient Bayesian method using a sparse reparameterization of high-dimensional random effects. We also study the average coverage probabilities of the credible intervals of functional parameters. We apply our methods to simulated and real data examples, including malaria incidence data and US COVID-19 data. The proposed method is fast while providing accurate functional estimates.

Frailty training among healthcare professionals

As the population ages worldwide, frailty becomes more prevalent, leading to a higher risk of poor outcomes. Therefore, there is an increased need to educate healthcare providers in the areas of frailty screening, assessment, and treatment. In our review of the current state of frailty education worldwide we showed that, with the exception of a few European countries, education of clinicians on frailty screening, assessment, and treatment is inadequate.Interprofessional team competencies, quality measures and clinical guidelines that require screening, assessment and management of frailty are needed to propel frailty education forward. It is evident that there is much-needed collaboration between high-, mid-, and low-income countries to reach consensus and create worldwide recommendations for frailty education

Fall Detection System for Elderly Care

Abstract: This project introduces a revolutionary Fall Detection System for Elderly Care, focusing on swift detection and immediate response to falls, particularly among wheelchair-bound seniors. In response to the escalating challenges posed by an aging population, Especially concerning the well-being of the elderly, the development of innovative solutions has become imperative. Central to these concerns is the prevalence of falls among seniors, which not only jeopardizes their physical health but also threatens their independence. Conventional fall detection methods have proven inadequate in providing timely assistance, underscoring the critical need for more advanced technologies. This project addresses this pressing need through the creation of a comprehensive Fall Detection System, with a specific focus on wheelchair-bound individuals. By seamlessly integrating state-of-the-art hardware and software components, the system aims to revolutionize elderly care by prioritizing safety and autonomy. At its core, the system utilizes the MPU6050 sensor module, renowned for its precision in monitoring body position and movement. Through the implementation of sophisticated algorithms, the software component meticulously analyzes real-time sensor data to swiftly detect falls. Upon detection of a fall event, the system autonomously triggers alerts to nearby healthcare services or designated contacts, ensuring a rapid response and timely provision of assistance to the elderly individual in need.

Trends in clinical outcomes of older hemodialysis patients: data from the 2023 Korean Renal Data System (KORDS)

With an increasing aging population, the mean age of patients with end-stage kidney disease (ESKD) is globally increasing. However, the current clinical status of elderly patients undergoing hemodialysis (HD) is rarely reported in Korea. The current study analyzed the clinical features and trends of older patients undergoing HD from the Korean Renal Data System (KORDS) database. The patients were divided into three groups according to age: &lt;65 years (the young group), n = 50,591 (35.9%); 65–74 years (the younger-old group), n = 37,525 (26.6%); and ≥75 years (the older-old group), n = 52,856 (37.5%). The proportion of older-old group undergoing HD significantly increased in incidence and decreased in prevalence from 2013 to 2022. The median levels of hemoglobin, serum creatinine, albumin, calcium, phosphorus, and intact parathyroid hormone significantly decreased in the older-old group. The proportions of arteriovenous fistula creation and left forearm placement showed decreased trends with age. Although the utilization of low surface area dialyzers increased with age, the dialysis adequacy, including urea reduction ratio and Kt/V was within acceptable range in the older-old group on HD. Over the past 20 years, the mortality rate in the older-old group has increased, with cardiovascular diseases decreasing and infectious diseases increasing. The incidence of elderly patients undergoing HD has increased over time, but the high mortality of the older-old group needs to be solved. Therefore, it is imperative to develop holistic strategies based on age and individual needs for patients with ESKD.

Senior-Centric Object Detection for Independent Living

Abstract: The need for creative solutions that help seniors preserve their independence is growing as a result of the worldwide population aging issue. A major obstacle that many seniors encounter is the possibility of a loss in their physical and cognitive abilities, which can make it difficult for them to carry out everyday chores. This study introduces a senior-oriented object detecting system in order to address this urgent problem. The technology assists elderly people in recognizing and locating things in their living areas by utilizing sophisticated computer vision techniques and machine learning algorithms. It aims to improve seniors' safety and autonomy through real-time support, ultimately leading to a better quality of life. This system is carefully designed to accommodate the special requirements of senior citizens, providing a viable means of fostering autonomous live in a population that is aging. This initiative is a big step forward in the fight to empower seniors and improve their well-being in an aging society because of its creative approach and emphasis on user-centric design

From hospital to home: Analyzing the market dynamics of home health and hospital-at-home care

The home health care industry in the United States is expected to develop at a compound annual growth rate (CAGR) of 6.89% from 2023 to 2032, and is expected to reach approximately $300 billion by 2028. The aging population, rising rates of chronic illnesses, the need for post-hospitalization care, and patient preferences for at-home care are some of the factors contributing to this growth. In addition to non-medical help with everyday life activities, home health care offers medical treatments such skilled nursing and physical therapy. Large providers with the greatest patient volume, such as AccentCare, Amedisys, and Enhabit Home Health &amp; Hospice, dominate the industry. To guarantee patient safety and high-quality care, home health agencies are subject to regulatory scrutiny. Home health care can also be a valuable source of information and respite for family caregivers. The capabilities of home health care have been increased by technological developments in telehealth and remote monitoring, which allow medical professionals to keep an eye on patients' status and interact with them from a distance. All things considered, the home health care sector is changing to accommodate the expanding and varied requirements of patients who want to receive treatment in the convenience of their own homes, offering an affordable and individualized substitute for traditional hospital settings.

Driving Forces for Outpatient Total Hip and Knee Arthroplasty with Enhanced Recovery After Surgery Protocols: A Narrative Review.

To explore the recent developments and trends in the anesthetic and surgical practices for total hip and total knee arthroplasty and discuss the implications for further outpatient total joint arthroplasty procedures. Between 2012 and 2017 there was an 18.9% increase in the annual primary total joint arthroplasty volume. Payments to physicians falling by 7.5% (14.9% when adjusted for inflations), whereas hospital reimbursements and charges increased by 0.3% and 18.6%, respectively. Total knee arthroplasty and total hip arthroplasty surgeries were removed from the Medicare Inpatient Only in January 2018 and January 2020, respectively leading to same-day TKA surgeries increases from 1.2% in January 2016 to 62.4% by December 2020 Same-day volumes for THA surgery increased from 2% in January 2016 to 54.5% by December 2020. Enhanced Recovery After Surgery (ERAS) protocols have revolutionized modern anesthesia and surgery practices. Centers for Medicare Services officially removed total joint arthroplasty from the inpatient only services list, opening a new door for improved cost savings to patients and the healthcare system alike. In the post-COVID healthcare system numerous factors have pushed increasing numbers of total joint arthroplasties into the outpatient, ambulatory surgery center setting. Improved anesthesia and surgical practices in the preoperative, intraoperative, and postoperative settings have revolutionized pain control, blood loss, and ambulatory status, rendering costly hospital stays obsolete in many cases. As the population ages and more total joint procedures are performed, the door is opening for more orthopedic procedures to exit the inpatient only setting in favor of the ambulatory setting.

Chinese expert consensus on perioperative nutritional support for elderly surgical patients (2024)

The increasing aging population in China leads to an increase in the number of elderly patients undergoing surgical procedures. Elderly patients are characterized with conditions such as multiple comorbidities, high nutritional risk, frailty, decreased organ function, etc. Nutritional support is one of the most significant elements in the perioperative period of elderly surgical patients. Currently, there is a lack of guidelines or expert consensus on nutritional support. To promote the standardized development of clinical work in this field, the Geriatric Surgery Professional Committee of the Chinese Research Hospital Association gathered experts and formulated relevant recommendations for perioperative nutritional therapy for elderly surgical patients based on existing research evidence. This consensus included several parts: preoperative nutritional assessment, indications, goals, ingredients and approaches of perioperative nutritional support, nutritional complications and management, nutritional intervention for surgical complications, and nutritional follow-up. It is expected to provide valuable suggestions for standardizing nutritional support for elderly surgical patients.

Reframing policy responses to population aging in Iran

Iran is aging rapidly and is expected to see negative population growth rates later this century. This change is generating significant concern for policymakers, whose response is to seek ‘demographic solutions’ to these issues: raise the fertility rate, decrease the divorce rate, and promote marriage among young people. Part of these policies has entailed curtailing access to free family planning services. This ‘call and response’ approach is unlikely to succeed in its stated aim, as it over-simplifies the real challenges of population aging as well as the multiple dimensions of population change. Such policies derive from simple representations of demographic change, most notably using the old-age dependency ratio. Using a microsimulation model, this paper suggests that increasing Iran’s currently low female labor force participation and translating educational gains into rising productivity is a more effective means of responding to the challenges of population aging, even under low fertility conditions. The advancement on previous such microsimulation exercises lies in the fact that this study explicitly considers the comparison between raising fertility and increasing female economic empowerment to offset population aging in a setting characterized by an overt pronatalist policy system. In tandem with reforming stressed institutional systems (such as the pension system), releasing the full potential of Iran’s existing (and future) human capital—especially of its women—is a far more effective policy direction than fertility-promoting policies.

Shape analysis of the nasal complex among South African groups from CBCT scans

Three-dimensional (3D) anatomical extraction techniques could help the forensic anthropologist in a precise and inclusive assessment of biological phenotypes for the development of facial reconstruction methods. In this research, the nose morphology and the underlying hard tissue of two South African populations were studied. To this end, a 3D computer-assisted approach based on an automated landmarking workflow was used to generate relevant 3D anatomical components, and shape discrepancies were investigated using a data set of 200 cone-beam computer tomography (CBCT) scans. The anatomical landmarks were placed on the external nose and the mid-facial skeleton (the nasal bones, the anterior nasal aperture, the zygoma, and the maxilla). Shape differences related to population affinity, sex, age, and size were statistically evaluated and visualised using geometric morphometric methods. Population affinity, sexual dimorphism, age, and size affect the nasal complex morphology. Shape variation in the mid-facial region was significantly influenced by population affinity, emphasising that shape variability was specific to the two population groups, along with the expression of sexual dimorphism and the effect of ageing. In addition, nasal complex shape and correlations vary greatly between white and black South Africans, highlighting a need for reliable population-specific 3D statistical nose prediction algorithms.

Gastric ischemia as an under-reported cause of death in older people.

Acute gastric ischemia is a rare condition due to the rich vascular supply of the stomach. Here we present a case of fatal gastric ischemia associated with bowel ischemia, only diagnosed at autopsy, which was requested for the suspicion of medical liability. A complete post-mortem examination was conducted, along with a macroscopic analysis of the superior mesenteric artery and detailed histological analyses. Past clinical data was also reviewed. The macroscopic blackish discoloration of the stomach and the bowel, coupled with the presence of neutrophils in the mucosa and submucosal non-occlusive thrombi, were consistent with gastric and bowel ischemia, despite the presence of confounding putrefactive changes. The unique aspect of this case resides in the ante-mortem peculiar vascularization of the stomach, supplied by small collateral vessels. No mechanical occlusion was identified, and the cause of the ischemia was deemed as non-occlusive, likely due to systemic hypoperfusion. The analysis of clinical data and documentation of associated comorbidities are strongly recommended, especially when a rare cause of death is suspected. With the aging population, especially among women, and the prevalence of risk factors, the forensic pathologist could increasingly encounter rare cases of gastric ischemia.

Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern

AbstractThe timely identification of significant memory concern (SMC) is crucial for proactive cognitive health management, especially in an aging population. Detecting SMC early enables timely intervention and personalized care, potentially slowing cognitive disorder progression. This study presents a state‐of‐the‐art review followed by a comprehensive evaluation of machine learning models within the randomized neural networks (RNNs) and hyperplane‐based classifiers (HbCs) family to investigate SMC diagnosis thoroughly. Utilizing the Alzheimer's Disease Neuroimaging Initiative 2 (ADNI2) dataset, 111 individuals with SMC and 111 healthy older adults are analyzed based on T1W magnetic resonance imaging (MRI) scans, extracting rich features. This analysis is based on baseline structural MRI (sMRI) scans, extracting rich features from gray matter (GM), white matter (WM), Jacobian determinant (JD), and cortical thickness (CT) measurements. In RNNs, deep random vector functional link (dRVFL) and ensemble dRVFL (edRVFL) emerge as the best classifiers in terms of performance metrics in the identification of SMC. In HbCs, Kernelized pinball general twin support vector machine (Pin‐GTSVM‐K) excels in CT and WM features, whereas Linear Pin‐GTSVM (Pin‐GTSVM‐L) and Linear intuitionistic fuzzy TSVM (IFTSVM‐L) performs well in the JD and GM features sets, respectively. This comprehensive evaluation emphasizes the critical role of feature selection, feature based‐interpretability and model choice in attaining an effective classifier for SMC diagnosis. The inclusion of statistical analyses further reinforces the credibility of the results, affirming the rigor of this analysis. The performance measures exhibit the suitability of this framework in aiding researchers with the automated and accurate assessment of SMC. The source codes of the algorithms and datasets used in this study are available at https://github.com/mtanveer1/SMC.This article is categorized under: Technologies &gt; Classification Technologies &gt; Machine Learning Application Areas &gt; Health Care

Does the community service environment affect the willingness of older adults people to socialize for older adults care?

Population ageing is a significant trend in social development and will remain a fundamental national condition in China for the foreseeable future. Socialized older adults care has become a crucial strategy for China to address population ageing. However, the current levels of acceptance and willingness to seek socialized older adults care among older adults are relatively low. This study focuses on examining how the community environment and services influence older adults people’s willingness to engage in social activities related to older adults care. Using data from the China Longitudinal Ageing Social Survey (CLASS) (N = 9,657), this study investigated the impact of the community service environment on older adults people’s willingness to participate in social activities related to older adults care through a logit model. The study revealed that 9.15% of older adults (N = 9,657) in China are willing to engage in social activities related to older adults care. Furthermore, the individual characteristics and family support of older adults play a significant role in shaping their willingness to engage in older adults care. The provision of medical services, daily care services, and entertainment venues by the community positively influence older adults people’s willingness to participate in social activities related to older adults care (p &amp;lt; 0.01), whereas psychological counselling services have a negative impact (p &amp;lt; 0.01). The impact of community services on older adults people’s willingness to engage in social activities related to older adults care varies due to factors such as smoking and chronic diseases. These findings provide valuable insights for improving older adults’ social engagement in China.

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.

Association of sleep fragmentation with general and abdominal obesity: a population-based longitudinal study.

To evaluate the causal relationship between sleep fragmentation (SF) parameters with general and abdominal obesity in free-living conditions. SF parameters were assessed by ActiGraph accelerometers for 7 consecutive days. Obesity was measured at baseline and 1-year follow-up with InBody S10 body composition analyzer. At baseline, the mean age of the study population was 18.7 years old (SD = 0.9) and 139 (35.7%) were male. Each 1-unit increase of baseline sleep fragmentation index (SFI) was associated with 0.08 kg/m2-increase of body mass index (BMI) (95% CI: 0.03, 0.14), 0.20%-increase of percentage of body fat (PBF) (95% CI: 0.07, 0.32), 0.15 kg-increase of fat mass (FM) (95% CI: 0.03, 0.27), 0.15 cm-increase of waist circumference (WC) (95% CI: 0.03, 0.26) and 0.91 cm2-increase of visceral fat area (VFA) (95% CI: 0.36, 1.46) at the 1-year follow-up. In addition, each 1-unit increase of baseline SFI was associated with 15% increased risk of general obesity (OR = 1.15, 95% CI = 1.04-1.28; p = 0.006) and 7% increased risk of abdominal obesity (OR = 1.07, 95% CI = 1.01-1.13; p = 0.021) in the following year. Fragmented sleep is independently associated with an increased risk of both general and abdominal obesity. The result highlights SF as a modifiable risk factor for the prevention and treatment of obesity.