Pub Date : 2026-01-14DOI: 10.1016/j.aggp.2026.100249
Natan Feter , Marcos Cirilo Sana Monteiro , Leticia Vitória Mourão Meira Pereira , Eduarda da Cunha Policarpo , Samuel Carvalho Dumith
Objectives
Population aging in Brazil has led to a significant increase in the burden of neurological disorders. This study aimed to examine the association of demographic aging with this burden.
Study design
An ecological temporal-trend study.
Methods
This time-series ecological study analyzed neurological disorder burden and population aging across 27 Brazilian states (1991–2023). Data from the Global Burden of Disease (IHME) and Brazilian Institute of Geography and Statistics (IBGE) were used. We calculated annual percentage changes (APCs) for five neurological indicators and population aging. Prais-Winsten regression analyzed aging trends, and linear regression assessed its association with neurological disorders, adjusting for covariates.
Results
The proportion of older adults (≥60 years) in Brazil more than doubled from 6.6% in 1991 to 14.2% in 2022. Concomitantly, all indicators of neurological disorders, including mortality (a 34.6% increase) and disability-adjusted life years (DALYs, a 20.5% increase), exhibited upward trends. Our findings reveal that aging is an independent predictor of worsening health indicators; each one-percentage-point increase in the elderly population was associated with a 2.9% rise in mortality and a 1.8% increase in DALYs.
Conclusion
Population aging is a significant and independent indicator of worsening neurological health in Brazil, posing critical public health challenges that require coordinated action. It is essential to strengthen the Unified Health System (SUS) to address the demand for specialized neurological care.
{"title":"What is the burden of neurological disorders associated to population aging in Brazil? ecological temporal-trend study","authors":"Natan Feter , Marcos Cirilo Sana Monteiro , Leticia Vitória Mourão Meira Pereira , Eduarda da Cunha Policarpo , Samuel Carvalho Dumith","doi":"10.1016/j.aggp.2026.100249","DOIUrl":"10.1016/j.aggp.2026.100249","url":null,"abstract":"<div><h3>Objectives</h3><div>Population aging in Brazil has led to a significant increase in the burden of neurological disorders. This study aimed to examine the association of demographic aging with this burden.</div></div><div><h3>Study design</h3><div>An ecological temporal-trend study.</div></div><div><h3>Methods</h3><div>This time-series ecological study analyzed neurological disorder burden and population aging across 27 Brazilian states (1991–2023). Data from the Global Burden of Disease (IHME) and Brazilian Institute of Geography and Statistics (IBGE) were used. We calculated annual percentage changes (APCs) for five neurological indicators and population aging. Prais-Winsten regression analyzed aging trends, and linear regression assessed its association with neurological disorders, adjusting for covariates.</div></div><div><h3>Results</h3><div>The proportion of older adults (≥60 years) in Brazil more than doubled from 6.6% in 1991 to 14.2% in 2022. Concomitantly, all indicators of neurological disorders, including mortality (a 34.6% increase) and disability-adjusted life years (DALYs, a 20.5% increase), exhibited upward trends. Our findings reveal that aging is an independent predictor of worsening health indicators; each one-percentage-point increase in the elderly population was associated with a 2.9% rise in mortality and a 1.8% increase in DALYs.</div></div><div><h3>Conclusion</h3><div>Population aging is a significant and independent indicator of worsening neurological health in Brazil, posing critical public health challenges that require coordinated action. It is essential to strengthen the Unified Health System (SUS) to address the demand for specialized neurological care.</div></div>","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"3 1","pages":"Article 100249"},"PeriodicalIF":0.0,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chronic heart disease (CHD) and chronic lung disease (CLD) are major contributors to morbidity and mortality among ageing populations, often sharing common risk factors and biological pathways. Despite evidence of cardiopulmonary interactions, few studies in India have examined gender differences and effect modification in the association between CLD and CHD using nationally representative data. This study estimates the prevalence of CLD and CHD among Indian adults aged ≥45 years, examines their association, and explores gender differences in the distribution and contribution of BMI, self-rated health, hypertension, diabetes, cancer, stroke, and high cholesterol within this association.
Data and Methods
We analysed cross-sectional data from 60,632 respondents in Wave 1 of the LASI (2017–2018). Weighted descriptive statistics and multivariable logistic regression models assessed associations between CLD and CHD, incorporating interaction terms for key health risk factors. Mediation analysis used the Karlson–Holm–Breen method to decompose total effects into direct and indirect effects.
Results
The prevalence of CHD and CLD was 3.86% and 7.29%, respectively. Females with CLD had higher odds of CHD (AOR=2.89) than males. Significant interaction effect modifications were observed for SRH, hypertension, high BMI, diabetes, cancer, stroke, and high cholesterol, predominantly among females. Mediation decomposition analysis identified SRH as the strongest mediator, explaining 34% of the observed CLD–CHD association overall (52% in males, 24% in females), followed by hypertension (10%) and high cholesterol (5%).
Conclusion
CLD and CHD are more prevalent among middle-aged and older adults in India, with co-occurrence influenced by age, multimorbidity, obesity, poor SRH and cardiometabolic conditions. Gender differences and geographic variation underscore the need for tailored strategies. Recognising CLD–CHD coexistence can inform comprehensive geriatric assessment, risk stratification and coordinated care, while population-level interventions should integrate lifestyle promotion, multimorbidity management and gender-sensitive approaches.
{"title":"Association between chronic lung disease and chronic heart disease among middle-aged and older adults in India: A gender-stratified cross-sectional analysis","authors":"Hemant Singh Gurjar , Gaurav Sharma , Anjna Kumari","doi":"10.1016/j.aggp.2026.100245","DOIUrl":"10.1016/j.aggp.2026.100245","url":null,"abstract":"<div><h3>Background</h3><div>Chronic heart disease (CHD) and chronic lung disease (CLD) are major contributors to morbidity and mortality among ageing populations, often sharing common risk factors and biological pathways. Despite evidence of cardiopulmonary interactions, few studies in India have examined gender differences and effect modification in the association between CLD and CHD using nationally representative data. This study estimates the prevalence of CLD and CHD among Indian adults aged ≥45 years, examines their association, and explores gender differences in the distribution and contribution of BMI, self-rated health, hypertension, diabetes, cancer, stroke, and high cholesterol within this association.</div></div><div><h3>Data and Methods</h3><div>We analysed cross-sectional data from 60,632 respondents in Wave 1 of the LASI (2017–2018). Weighted descriptive statistics and multivariable logistic regression models assessed associations between CLD and CHD, incorporating interaction terms for key health risk factors. Mediation analysis used the Karlson–Holm–Breen method to decompose total effects into direct and indirect effects.</div></div><div><h3>Results</h3><div>The prevalence of CHD and CLD was 3.86% and 7.29%, respectively. Females with CLD had higher odds of CHD (AOR=2.89) than males. Significant interaction effect modifications were observed for SRH, hypertension, high BMI, diabetes, cancer, stroke, and high cholesterol, predominantly among females. Mediation decomposition analysis identified SRH as the strongest mediator, explaining 34% of the observed CLD–CHD association overall (52% in males, 24% in females), followed by hypertension (10%) and high cholesterol (5%).</div></div><div><h3>Conclusion</h3><div>CLD and CHD are more prevalent among middle-aged and older adults in India, with co-occurrence influenced by age, multimorbidity, obesity, poor SRH and cardiometabolic conditions. Gender differences and geographic variation underscore the need for tailored strategies. Recognising CLD–CHD coexistence can inform comprehensive geriatric assessment, risk stratification and coordinated care, while population-level interventions should integrate lifestyle promotion, multimorbidity management and gender-sensitive approaches.</div></div>","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"3 1","pages":"Article 100245"},"PeriodicalIF":0.0,"publicationDate":"2026-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Locomotive syndrome (LS), caused by musculoskeletal dysfunction, is a major concern for older adults, contributing to physical decline, increased caregiving needs, and loss of autonomy. This study aimed to develop a novel LS screening method by analyzing kinematic data from the one-leg standing (OLS) test using a marker-less motion capture system combined with machine learning.
Methods
A total of 294 community-dwelling older adults participated, and LS severity was evaluated using the LS risk test. Kinematic data were collected during the OLS test by marker-less motion capture system and analyzed with neural network models to classify LS severity into stage 1 or higher and stage 2 or higher.
Results
The proposed model demonstrated superior classification accuracy compared to conventional OLS time-based assessments, with area under the curve (AUC) values of 0.901 for stage 1 or higher and 0.904 for stage 2 or higher, exceeding the performance reported in previous studies.
Conclusions
This study demonstrates the feasibility of integrating kinematic analysis with machine learning to screen LS. The developed model offers a noninvasive and efficient tool for LS detection, suitable for both telemedicine and community-based applications. By facilitating early detection of LS, this approach has the potential to improve enhance clinical outcomes and reduce caregiving burdens.
{"title":"Kinematic analysis of one-leg standing for locomotive syndrome screening using marker-less motion capture and machine learning: A cross-sectional study","authors":"Kazuaki Hamada B.S. , Yu Inoue Ph.D. , Shigeharu Tanaka Ph.D. , Hungu Jung Ph.D. , Kenta Hirohama M.S. , Ryo Yamasaki B.S. , Koji Ono Ph.D. , Ryo Tanaka Ph.D.","doi":"10.1016/j.aggp.2026.100244","DOIUrl":"10.1016/j.aggp.2026.100244","url":null,"abstract":"<div><h3>Objectives</h3><div>Locomotive syndrome (LS), caused by musculoskeletal dysfunction, is a major concern for older adults, contributing to physical decline, increased caregiving needs, and loss of autonomy. This study aimed to develop a novel LS screening method by analyzing kinematic data from the one-leg standing (OLS) test using a marker-less motion capture system combined with machine learning.</div></div><div><h3>Methods</h3><div>A total of 294 community-dwelling older adults participated, and LS severity was evaluated using the LS risk test. Kinematic data were collected during the OLS test by marker-less motion capture system and analyzed with neural network models to classify LS severity into stage 1 or higher and stage 2 or higher.</div></div><div><h3>Results</h3><div>The proposed model demonstrated superior classification accuracy compared to conventional OLS time-based assessments, with area under the curve (AUC) values of 0.901 for stage 1 or higher and 0.904 for stage 2 or higher, exceeding the performance reported in previous studies.</div></div><div><h3>Conclusions</h3><div>This study demonstrates the feasibility of integrating kinematic analysis with machine learning to screen LS. The developed model offers a noninvasive and efficient tool for LS detection, suitable for both telemedicine and community-based applications. By facilitating early detection of LS, this approach has the potential to improve enhance clinical outcomes and reduce caregiving burdens.</div></div>","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"3 1","pages":"Article 100244"},"PeriodicalIF":0.0,"publicationDate":"2026-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-03DOI: 10.1016/j.aggp.2026.100243
Michael E. Kalu , Ajayi K. Oladimeji , Israel Adandom , Nusrat S. Nessa , Chigozie L.J. Ugwu , Chukwuebuka P. Onyekere , Francis O. Kolawole , Henrietta Fawole
Purpose
This study aimed to test whether the 2-Minute Walk Test (2MWT) can substitute for the 6-Minute Walk Test (6MWT) when estimating functional capacity in Nigerian older adults and to identify physiological mediators or moderators of that relationship.
Methods
We conducted a cross-sectional study and recruited 409 adults ≥ 60 years who completed both walk tests; gait speed was the primary outcome. Age, sex, body-mass index (BMI), Montreal Cognitive Assessment scores, and estimated VO₂ max were also recorded.
Results
This study indicated that 2MWT gait speed strongly predicted 6MWT gait speed (β = 0.547, p < 0.001), accounting for 35 % of its variance. Age, cognition, BMI, and VO₂ max did not mediate this association, but VO₂ max moderated it (interaction β = 0.0175, p < 0.05). Bland–Altman analysis showed a small systematic underestimation by the 2MWT, with acceptable agreement when mean speeds were 0.7–1.2 m s⁻¹.
Conclusion
We concluded that the 2MWT could offer a time-efficient proxy for the 6MWT in low-resource settings, although clinicians should interpret results cautiously in individuals with low aerobic fitness.
目的本研究旨在测试2分钟步行测试(2MWT)是否可以替代6分钟步行测试(6MWT)来估计尼日利亚老年人的功能能力,并确定这种关系的生理介质或调节因子。方法:我们进行了一项横断面研究,招募了409名≥60岁的成年人,他们完成了两项步行测试;步态速度是主要观察指标。此外,还记录了年龄、性别、身体质量指数(BMI)、蒙特利尔认知能力评价分数、VO₂max预测值等。结果本研究表明,2MWT步态速度对6MWT步态速度有较强的预测作用(β = 0.547, p < 0.001),占方差的35%。年龄、认知、BMI和vo2 max没有介导这种关联,但vo2 max调节了这种关联(交互作用β = 0.0175, p < 0.05)。Bland-Altman分析显示2MWT有一个小的系统性低估,当平均速度为0.7-1.2 m s时,结果是可以接受的。我们的结论是,在低资源环境下,2MWT可以作为6MWT的时间效率代表,尽管临床医生在低有氧适应度的个体中应谨慎解释结果。
{"title":"Evaluating the two-minute walk test as a time-efficient alternative to the six-minute walk test in Nigerian older adults: Insights from an exploratory mediation and moderation analysis","authors":"Michael E. Kalu , Ajayi K. Oladimeji , Israel Adandom , Nusrat S. Nessa , Chigozie L.J. Ugwu , Chukwuebuka P. Onyekere , Francis O. Kolawole , Henrietta Fawole","doi":"10.1016/j.aggp.2026.100243","DOIUrl":"10.1016/j.aggp.2026.100243","url":null,"abstract":"<div><h3>Purpose</h3><div>This study aimed to test whether the 2-Minute Walk Test (2MWT) can substitute for the 6-Minute Walk Test (6MWT) when estimating functional capacity in Nigerian older adults and to identify physiological mediators or moderators of that relationship.</div></div><div><h3>Methods</h3><div>We conducted a cross-sectional study and recruited 409 adults ≥ 60 years who completed both walk tests; gait speed was the primary outcome. Age, sex, body-mass index (BMI), Montreal Cognitive Assessment scores, and estimated VO₂ max were also recorded.</div></div><div><h3>Results</h3><div>This study indicated that 2MWT gait speed strongly predicted 6MWT gait speed (β = 0.547, p < 0.001), accounting for 35 % of its variance. Age, cognition, BMI, and VO₂ max did not mediate this association, but VO₂ max moderated it (interaction β = 0.0175, p < 0.05). Bland–Altman analysis showed a small systematic underestimation by the 2MWT, with acceptable agreement when mean speeds were 0.7–1.2 m s⁻¹.</div></div><div><h3>Conclusion</h3><div>We concluded that the 2MWT could offer a time-efficient proxy for the 6MWT in low-resource settings, although clinicians should interpret results cautiously in individuals with low aerobic fitness.</div></div>","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"3 1","pages":"Article 100243"},"PeriodicalIF":0.0,"publicationDate":"2026-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Digital screen use is increasingly common among older adults, yet its implications for balance and postural control are not well defined. Age-related sensory, vestibular and cognitive changes may increase vulnerability to balance disturbances during screen-based activities.
Objective
To map and describe how screen exposure has been explored in relation to balance-related outcomes in community-dwelling adults aged 60 years and older.
Methods
A scoping review was conducted following Joanna Briggs Institute guidance and the PRISMA-ScR framework. Systematic searches of eight electronic databases identified studies published in English between December 2000 and June 2024. Observational and experimental studies assessing any form of digital screen exposure in relation to balance, gait, vestibulo-ocular function, or dizziness in adults aged ≥60 years were eligible. Data were charted descriptively to map exposure types, balance domains, measurement tools, and methodological characteristics.
Results
Five studies met the inclusion criteria. Screen exposures included total daily screen time, smartphone use during walking, sustained near-focus visual tasks, and immersive or visually provocative digital environments. Balance-related outcomes encompassed postural sway, gait parameters, dynamic visual acuity, vestibulo-ocular reflex function, and self-reported dizziness. Substantial heterogeneity was observed across exposure definitions, measurement tools, and study designs. Most evidence was cross-sectional or based on short-duration experimental protocols.
Conclusion
Evidence examining screen exposure and balance in older adults is limited and methodologically diverse. This scoping review provides a structured mapping of the existing literature rather than an assessment of effects or causality, highlighting gaps to inform future research on digital behaviour and balance in ageing populations.
{"title":"Postural instability in the digital age: A scoping review of screen exposure and balance outcomes in community-dwelling older adults","authors":"Tamanna Sharma BPT, (MPT) , Nidhi Sharma BPT, MPT, PhD , Simranjeet Kaur BPT, MPT , Parveen Kumar BPT, MPT , Preeti Kapri BPT, MPT","doi":"10.1016/j.aggp.2025.100242","DOIUrl":"10.1016/j.aggp.2025.100242","url":null,"abstract":"<div><h3>Background</h3><div>Digital screen use is increasingly common among older adults, yet its implications for balance and postural control are not well defined. Age-related sensory, vestibular and cognitive changes may increase vulnerability to balance disturbances during screen-based activities.</div></div><div><h3>Objective</h3><div>To map and describe how screen exposure has been explored in relation to balance-related outcomes in community-dwelling adults aged 60 years and older.</div></div><div><h3>Methods</h3><div>A scoping review was conducted following Joanna Briggs Institute guidance and the PRISMA-ScR framework. Systematic searches of eight electronic databases identified studies published in English between December 2000 and June 2024. Observational and experimental studies assessing any form of digital screen exposure in relation to balance, gait, vestibulo-ocular function, or dizziness in adults aged ≥60 years were eligible. Data were charted descriptively to map exposure types, balance domains, measurement tools, and methodological characteristics.</div></div><div><h3>Results</h3><div>Five studies met the inclusion criteria. Screen exposures included total daily screen time, smartphone use during walking, sustained near-focus visual tasks, and immersive or visually provocative digital environments. Balance-related outcomes encompassed postural sway, gait parameters, dynamic visual acuity, vestibulo-ocular reflex function, and self-reported dizziness. Substantial heterogeneity was observed across exposure definitions, measurement tools, and study designs. Most evidence was cross-sectional or based on short-duration experimental protocols.</div></div><div><h3>Conclusion</h3><div>Evidence examining screen exposure and balance in older adults is limited and methodologically diverse. This scoping review provides a structured mapping of the existing literature rather than an assessment of effects or causality, highlighting gaps to inform future research on digital behaviour and balance in ageing populations.</div></div>","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"3 1","pages":"Article 100242"},"PeriodicalIF":0.0,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"3 1","pages":"Article 100220"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146642744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"3 1","pages":"Article 100250"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146642729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"3 1","pages":"Article 100254"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146642719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"3 1","pages":"Article 100243"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146642734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"3 1","pages":"Article 100237"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146642742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}