JMIR Aging最新文献

{"title":"Comparative Diagnostic Accuracy of AI-Assisted Fluorine-18 Fluorodeoxyglucose Positron Emission Tomography Versus Structural Magnetic Resonance Imaging in Alzheimer Disease: Systematic Review and Meta-Analysis.","authors":"Bingbing Wang, Tailiang Zhao, Rongrong Ma, Xiaochuan Huo, Xiaoxiao Xiong, Minjie Wu, Yuran Wang, Liu Liu, Zhijiang Zhuang, Bin Wang, Jixin Shou","doi":"10.2196/76981","DOIUrl":"https://doi.org/10.2196/76981","url":null,"abstract":"<p><strong>Background: </strong>Neuroimaging is crucial in the diagnosis of Alzheimer disease (AD). In recent years, artificial intelligence (AI)-based neuroimaging technology has rapidly developed, providing new methods for accurate diagnosis of AD, but its performance differences still need to be systematically evaluated.</p><p><strong>Objective: </strong>This study aims to conduct a systematic review and meta-analysis comparing the diagnostic performance of AI-assisted fluorine-18 fluorodeoxyglucose positron emission tomography (18F-FDG PET) and structural magnetic resonance imaging (sMRI) for AD.</p><p><strong>Methods: </strong>Databases including Web of Science, PubMed, and Embase were searched from inception to January 2025 to identify original studies that developed or validated AI models for AD diagnosis using 18F-FDG PET or sMRI. Methodological quality was assessed using the TRIPOD-AI (Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis-Artificial Intelligence) checklist. A bivariate mixed-effects model was employed to calculate pooled sensitivity, specificity, and summary receiver operating characteristic curve area (SROC-AUC).</p><p><strong>Results: </strong>A total of 38 studies were included, with 28 moderate-to-high-quality studies analyzed. Pooled SROC-AUC values were 0.94 (95% CI 0.92-0.96) for sMRI and 0.96 (95% CI 0.94-0.98) for 18F-FDG PET, demonstrating statistically significant intermodal differences (P=.02). Subgroup analyses revealed that for machine learning, pooled SROC-AUCs were 0.89 (95% CI 0.86-0.92) for sMRI and 0.95 (95% CI 0.92-0.96) for 18F-FDG PET, while for deep learning, these values were 0.96 (95% CI 0.94-0.97) and 0.97 (95% CI 0.96-0.99), respectively. Meta-regression identified heterogeneity arising from study quality stratification, algorithm types, and validation strategies.</p><p><strong>Conclusions: </strong>Both AI-assisted 18F-FDG PET and sMRI exhibit high diagnostic accuracy in AD, with 18F-FDG PET demonstrating superior overall diagnostic performance compared to sMRI.</p>","PeriodicalId":36245,"journal":{"name":"JMIR Aging","volume":"8 ","pages":"e76981"},"PeriodicalIF":4.8,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145253046","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":"Detection of Vascular Mild Cognitive Impairment in Southeast Asia Using the Visual Cognitive Assessment Test: Machine Learning Analysis From the BIOCIS (Biomarkers and Cognition Study, Singapore).","authors":"Pricilia Tanoto, Hannah En Ye, Seyed Ehsan Saffari, Yi Jin Leow, Ashwati Vipin, Faith Phemie Hui En Lee, Smriti Ghildiyal, Shan Yao Liew, Adnan Azam Mohammed, Gurveen Kaur Sandhu, Kiirtaara Aravindhan, Gursimar Bhalla, Rasyiqah Binte Shaik Mohamed Salim, Nagaendran Kandiah","doi":"10.2196/76847","DOIUrl":"https://doi.org/10.2196/76847","url":null,"abstract":"<p><strong>Background: </strong>Vascular mild cognitive impairment (VMCI) is a significant global health concern, particularly in Asia. The visual cognitive assessment test (VCAT) has shown promise as a language-neutral screening tool for cognitive impairment.</p><p><strong>Objective: </strong>This study aims to assess the effectiveness of the VCAT in detecting VMCI and compare its diagnostic performance with the widely used and validated Montreal Cognitive Assessment (MoCA).</p><p><strong>Methods: </strong>Cross-sectional data from 524 community-dwelling participants were analyzed from the BIOCIS (Biomarkers and Cognition Study, Singapore) and classified into cognitively unimpaired, non-VMCI, and VMCI groups. The participants underwent neuropsychological assessments and 3-T magnetic resonance imaging. The random forest technique and multivariable logistic regression were applied to assess the discriminative properties of the tests.</p><p><strong>Results: </strong>Participants with VMCI exhibited significantly lower performance across various neuropsychological tests (P<.001) and higher rates of vascular risk factors (P<.001). At a cutoff of 27, the VCAT achieved near-perfect accuracy in discriminating the VMCI group from the cognitively unimpaired group (area under the receiver operating characteristic curve=1; sensitivity=1; specificity=0.991). For differentiating the VMCI group from the non-VMCI group, both the VCAT and the MoCA showed optimal performance at a cutoff of 25 (area under the receiver operating characteristic curve=1.00; sensitivity=1.00; specificity=1.00).</p><p><strong>Conclusions: </strong>The VCAT could be a valuable tool for detecting VMCI, particularly in diverse, multilingual populations. Its comparable or even superior performance to the MoCA, combined with its language-neutral design, positions the VCAT as a strong addition to cognitive assessment toolkits for VMCI. However, the complex nature of cognitive processing in VMCI suggests that a multifaceted approach that integrates both visual and verbal assessments may ultimately offer the most comprehensive evaluation.</p><p><strong>International registered report identifier (irrid): </strong>RR2-10.14283/jpad.2024.89.</p>","PeriodicalId":36245,"journal":{"name":"JMIR Aging","volume":"8 ","pages":"e76847"},"PeriodicalIF":4.8,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145253039","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":"Association Between Age and Severity at Disability Onset and All-Cause Mortality: Longitudinal Observational Study From the Health and Retirement Study.","authors":"Anying Bai, Cuie Liu, Yu Jiang, Weihao Xu, Jian Cao","doi":"10.2196/73254","DOIUrl":"10.2196/73254","url":null,"abstract":"<p><strong>Background: </strong>Disability is a global public health challenge, with its prevalence increasing, particularly among older adults, and it exerts a profound impact on both health outcomes and mortality rates.</p><p><strong>Objective: </strong>This study investigates the associations between age at disability onset, severity at disability onset, and all-cause mortality in community-dwelling adults.</p><p><strong>Methods: </strong>We analyzed data from waves 10 to 16 (2010-2023) of the Health and Retirement Study, a nationally representative longitudinal survey of US adults aged ≥51 years. Participants without disabilities in activities of daily living (ADLs) or instrumental activities of daily living (IADLs) from the Health and Retirement Study were followed biennially until December 31, 2023. During the follow-up period, 4500 participants developed ADL disability and 4260 developed IADL disability. For each case participant, a control participant matched for age (+1 to -1 y) and sex was randomly selected. Multivariable Cox proportional hazards models were used to assess hazard ratios (HRs) for all-cause mortality among participants with new-onset disabilities, stratified by age groups and severity at disability onset.</p><p><strong>Results: </strong>Over a median follow-up duration of 8.58 years, 1709 (37.98%) deaths occurred in the ADL group and 1832 (43%) deaths occurred in the IADL group. Individuals who developed ADL disability before the age of 55 years exhibited the highest all-cause mortality risk compared to matched controls (HR 3.12, 95% CI 1.85-5.26), which further increased with severe disability (HR 4.07, 95% CI 2.03-8.19). The mortality risk was inversely associated with age at onset. A parallel trend was identified in the IADL cohort. Notably, men demonstrated a significantly elevated mortality risk compared to women, emphasizing the need for gender-specific interventions.</p><p><strong>Conclusions: </strong>Early and severe disability onset significantly increases mortality risk, with men experiencing a disproportionately higher risk. Preventive strategies aimed at addressing early-onset and severe disability, with consideration of gender differences, are essential for improving long-term outcomes in affected populations.</p>","PeriodicalId":36245,"journal":{"name":"JMIR Aging","volume":"8 ","pages":"e73254"},"PeriodicalIF":4.8,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12494357/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145226078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring Risk Factors Related to Low Calf Circumference in Older Adults With Multimorbidity: Cross-Sectional Latent Class Analysis.","authors":"Xilin Peng, Xudong Chen, Ruihao Zhou, Fanfan Shi, Tao Zhu, Guo Chen","doi":"10.2196/68760","DOIUrl":"10.2196/68760","url":null,"abstract":"<p><strong>Background: </strong>As the global population continues to age, the prevalence of sarcopenia is gradually increasing, and the loss of skeletal muscle mass is one of the manifestations of sarcopenia. Low calf circumference (CC) is often used as a predictor of poor skeletal muscle mass or sarcopenia. Older adults usually have a combination of multiple chronic diseases. There is a lack of evidence to explore the risk factors for low CC with multimorbidity in Chinese, community-dwelling, older adults.</p><p><strong>Objective: </strong>This study aimed to explore the risk factors and potential categories in older adult patients with low CC and multimorbidity from an individual-centered perspective.</p><p><strong>Methods: </strong>We selected 15,874 participants from the Chinese Longitudinal Healthy Longevity Survey in 2018 and screened for low CC in older adult patients. The individual-centered latent class analysis was used to classify potential multimorbidity groups. Multiple logistic regression was used to explore the risk factors associated with low CC and multimorbidity by applying the elastic net to screen for reliable risk variables.</p><p><strong>Results: </strong>A total of 7956 older individuals were eligible for the study, of whom 3960 (49.8%) were aged >90 years and 2166 (27.2%) had multimorbidity with low CC. The prevalence of multimorbidity increases between the ages of 65 and 89 years. However, the majority of older adults remain in reasonably good health beyond the age of 90 years. Five multimorbidity groups were identified by latent class analysis: multisystem morbidity diseases (78/2166, 3.6%), arthritis-rheumatism or rheumatoid diseases (400/2166, 18.47%), diabetes-hypertension diseases (330/2166, 15.23%), respiratory-heart diseases (347/2166, 16.02%), and cardiovascular diseases (1011/2166, 46.68%). Through 12 variables screened by the elastic net, multiple logistic regression showed different impacts on multimorbidity groups, including demographic background, behavioral characteristics, and physical and mental health factors. In particular, older patients who self-report poor health and live in urban areas need more attention.</p><p><strong>Conclusions: </strong>The results revealed that low CC is a common phenomenon among community-dwelling older adults, and a substantial proportion also present with multimorbidity. In the older adult population with low CC, the proportion of multimorbidity does not simply increase with age. Multimorbidity in low CC has been identified in 5 potential groups. Different groups have distinctive risk factors. Public health authorities should pay attention to low CC in older adult patients with multimorbidity and carry out targeted interventions, thereby enhancing health outcomes.</p>","PeriodicalId":36245,"journal":{"name":"JMIR Aging","volume":"8 ","pages":"e68760"},"PeriodicalIF":4.8,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12490777/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145213856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gender Differences in the Digital Divide, Digital Back-Feeding, and Health-Related Quality of Life Among Rural Older Adults: Cross-Sectional Study.","authors":"Xin Che, Shujun Chai, Dan Zhao, Shirong Chen, Chengchao Zhou","doi":"10.2196/75925","DOIUrl":"https://doi.org/10.2196/75925","url":null,"abstract":"<p><strong>Background: </strong>The digital divide has loomed as a global public issue in recent years. However, evidence is limited regarding whether the digital divide is associated with health-related quality of life (HRQOL) and whether digital back-feeding would buffer this association.</p><p><strong>Objective: </strong>This study aims to explore the role of digital back-feeding in the relationship between the digital divide and HRQOL among older men and women living in rural China.</p><p><strong>Methods: </strong>We used data from wave 3 of the Shandong Rural Elderly Health Cohort, conducted in 2022. A total of 3242 (n=1946, 60.02% women) rural older adults were included in the analysis. Moderating effect analysis was performed using Tobit regression models and margins plots.</p><p><strong>Results: </strong>A total of 71.01% (2302/3242) of the participants reported experiencing digital divide. Participants experiencing digital divide were significantly associated with lower HRQOL as measured by EQ-5D-5L scores (β=-0.020; P<.001). We found that digital back-feeding buffered the relationship between digital divide and HRQOL (β=0.024; P=.02). Furthermore, gender-stratified analyses revealed divergent moderation patterns; a significant buffering role was observed in women (β=0.031; P=.02), whereas no substantially significant moderating role emerged in men.</p><p><strong>Conclusions: </strong>Our study established a significant inverse association between the digital divide and HRQOL among rural adults. Digital back-feeding emerged as a measurable protective buffer mitigating this adverse relationship. Furthermore, this buffering effect was only observed among older women. Policy implications underscore the necessity of gender-tailored digital inclusion strategies, particularly advocating for technology-proficient adult offsprings to prioritize digital engagement with their mothers in digitally marginalized rural communities.</p>","PeriodicalId":36245,"journal":{"name":"JMIR Aging","volume":"8 ","pages":"e75925"},"PeriodicalIF":4.8,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145213779","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":"An mHealth App (NeoMayor) to Promote Healthy Lifestyles and Brain Health in Older Adults: Design and Validation Study.","authors":"Myriam Gutiérrez, Victoria Cabello, Carol D SanMartín, Jorge Mauro, Gada Musa, Melissa Torres, Maria Consuelo San Martin, Carlos Márquez, Rodrigo Beltrán, Nicole Rogers, Felipe Salech, Daniela Ponce, Christian Ampuero, Pia Varas, Bastián Gamboa-Labbé, Víctor David Cortés, Carlos Vega, Rocío Ruiz, Juan Velásquez, Rodrigo Vergara, Maria Isabel Behrens, Jamileth More, Carolina Delgado Derio","doi":"10.2196/71936","DOIUrl":"https://doi.org/10.2196/71936","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;In Latin American countries, the prevalence of noncommunicable diseases has increased rapidly in recent decades. Mobile health (mHealth) apps are now widely available at low cost and are easy to implement, offering an opportunity to encourage healthy lifestyles in older adults. However, at present, there are no mHealth apps that integrate multidomain healthy lifestyle interventions specifically adapted for older adults in Chile.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This study aims to describe the development and validation of NeoMayor, an mHealth app designed to promote healthy lifestyles as well as cardiovascular and brain health in older adults in Chile.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;NeoMayor was developed iteratively with feedback from users and input from a multidisciplinary team of clinicians, researchers, and software developers. Using lean user experience methodology, we ensured user involvement throughout the design and validation process. The research was conducted in 2 phases. In the design and development phase, we created and adapted evidence-based recommendations. In the validation phase, we conducted a pilot study to assess usability, adherence, and cardiovascular health (CVH). A total of 60 functionally independent and cognitively healthy participants used the NeoMayor app for 2 months. Clinical and cognitive assessments were conducted before and after app use. We held 26 cocreation sessions with users, consulted experts, performed a literature review, and collaborated with a team of app developers to create a functional prototype.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The mean age of the participants was 71 (SD 15) years, and 85% (51/60) were female. Participants had an average of 9.8 (SD 3.6) years of education. At the end of the 2-month intervention, usability testing indicated high engagement and adherence, with participants using the app for an average of 6.6 (SD 11.85) minutes per day twice a week. Improvements were observed in global CVH, with the mean Life's Essential 8 CVH index score increasing from 64 (SD 10) to 68 (SD 11; P&lt;.001). Reductions were noted in systolic blood pressure (10 mm Hg) and waist circumference (7 cm), along with increased high-density lipoprotein cholesterol levels. Participants also showed improvements in self-reported physical activity and diet, higher scores on the Short Physical Performance Battery, and faster performance times on the sit-to-stand and gait speed tests. The app was optimized for broad compatibility with Android devices, safe data collection and storage, and compliance with data privacy regulations following good clinical practices. The final product is ready for testing in a randomized controlled trial.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;This study represents the first initiative in Chile to develop and validate an mHealth app to promote healthy lifestyles as well as cardiovascular and brain health in older adults, offering an effective, accessible, and a","PeriodicalId":36245,"journal":{"name":"JMIR Aging","volume":"8 ","pages":"e71936"},"PeriodicalIF":4.8,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145207865","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":"Older Perpetrators of Domestic Violence: Mixed-Effects Logistic Regression Analysis of Police Records.","authors":"Sharon Reutens, Emaediong Akpanekpo, George Karystianis, Adrienne Withall, Tony Butler","doi":"10.2196/75993","DOIUrl":"https://doi.org/10.2196/75993","url":null,"abstract":"<p><strong>Background: </strong>Domestic violence (DV) among older adults is an understudied area, often overlapping with abuse of older people, intimate partner violence, and behavioral and psychological symptoms of dementia.</p><p><strong>Objective: </strong>This study aimed to examine the characteristics of older persons of interest-individuals suspected or charged with a DV offence-and survivors involved in police-attended DV events in New South Wales, Australia, and assess associations with physical and nonphysical abuse.</p><p><strong>Methods: </strong>Police records of 10,708 DV events involving 8247 adults aged ≥55 years who were identified as persons of interest from 2005 to 2016 were analyzed using text mining. A 3-level mixed-effects logistic regression model was used to identify predictors of physical and nonphysical abuse.</p><p><strong>Results: </strong>Physical abuse formed a greater proportion of all abuse committed by female persons of interest aged >65 years compared to female persons of interest aged between 55 and 64 years and male persons of interest; however, after stratified analysis, female persons of interest had similarly elevated odds of physical abuse perpetration to male persons of interest. Other factors associated with increased odds of perpetrating physical abuse were persons of interest with dementia and alcohol-related events. Dementia increased the odds of combined physical and nonphysical abuse. Substance use disorders increased the odds of events with combined physical and nonphysical abuse.</p><p><strong>Conclusions: </strong>The findings of this study suggest that DV, including physical violence, is an important issue in later life. Alcohol is a situational factor, and dementia is associated with perpetration and exposure to violence. The study highlights the need for clinicians to evaluate the risk of violence and exposure to violence in patients with dementia and for policy interventions targeting alcohol and substance use in older adults.</p>","PeriodicalId":36245,"journal":{"name":"JMIR Aging","volume":"8 ","pages":"e75993"},"PeriodicalIF":4.8,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145193352","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":"Handwriting in Mild Cognitive Impairment: Reliability Assessment and Machine Learning-Based Screening.","authors":"Simone Toffoli, Carlo Abbate, Francesca Lunardini, Edoardo Corno, Nicholas Diani, Alessia Gallucci, Emanuele Tomasini, Pietro Davide Trimarchi, Simona Ferrante","doi":"10.2196/73074","DOIUrl":"https://doi.org/10.2196/73074","url":null,"abstract":"<p><strong>Background: </strong>Mild cognitive impairment (MCI) is a precursor of dementia. Therefore, MCI identification and monitoring are crucial to delaying dementia onset. Given the limits of existing clinical tests, objective support tools are needed.</p><p><strong>Objective: </strong>This work investigates quantitative handwriting analysis, tailored to enable domestic monitoring, as a noninvasive approach for MCI screening and assessment.</p><p><strong>Methods: </strong>A sensorized ink pen, used on paper and equipped with sensors, memory, and a communication unit, was used for data acquisition. The tasks included writing a grocery list and free text to mimic daily life handwriting, and a clinical dictation test (parole-non-parole [PnP] test), featuring regular, irregular, and made-up words, aimed at assessing MCI dysgraphia. From the recorded data, 106 indicators describing the performance in terms of time, fluency, exerted force, and pen inclination were computed. A total of 57 patients with MCI were recruited, of whom 45 performed a test-retest protocol. The indicators were examined to assess their test-retest reliability. The indicators from the test repetition were used to assess their relationship with the scores of clinical tests via correlation analysis. For the PnP test, differences in the indicators among the 3 types of words were statistically investigated. These analyses were conducted separately for the cursive (2/3 of the sample) and block letters (1/3 of the sample) allographs, with the level of significance set at 5%. Data from healthy older adults were available for the grocery list (34 participants) and free text (45 participants) tasks. These were exploited to build machine learning classification models for the distinction between patients with MCI and healthy controls.</p><p><strong>Results: </strong>When dealing with reliability, 93% and 44% of the indicators were characterized by a significant reliability of at least moderate intensity for cursive and block letters respectively. As for the correlation analysis, patients with preserved cognitive status and daily life functionality were associated with significantly better temporal performances, both in free writing and PnP. The analysis of PnP highlighted the presence of surface dysgraphia in the recruited sample, as irregular words showed significantly worse temporal indicators with respect to regular and made-up ones. The classification models' built-in free writing data achieved accuracies ranging from 0.80 to 0.93 and F₁-scores from 0.81 to 0.92 according to the input dataset.</p><p><strong>Conclusions: </strong>The presented results suggest the suitability of ecological handwriting analysis for the all-around monitoring of MCI, from early screening to disease progression evaluation.</p>","PeriodicalId":36245,"journal":{"name":"JMIR Aging","volume":"8 ","pages":"e73074"},"PeriodicalIF":4.8,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145131973","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":"Comparative Analysis of 16 Aging Concepts and Their Influence on Aging Narratives: Bibliometric and Content Analysis.","authors":"Na Xiao, Bo Xia, Laurie Buys, Connie Susilawati, Martin Larbi, Qing Chen","doi":"10.2196/72011","DOIUrl":"https://doi.org/10.2196/72011","url":null,"abstract":"<p><strong>Background: </strong>Globally, various aging concepts (such as healthy aging, successful aging, and active aging) have emerged to promote the goal of \"aging well\" and have gained widespread attention in academia, policy, and practice to change the negative narrative on aging. However, whether and how these aging concepts have contributed to changing the negative narratives remains unclear. Moreover, they are not clearly defined nor widely agreed upon, often creating ambiguity and confusion.</p><p><strong>Objective: </strong>This paper aims to provide a comprehensive review and comparative analysis of 16 aging concepts, with a particular focus on how their evolution in research has contributed to shifting the narrative surrounding aging.</p><p><strong>Methods: </strong>This study used the bibliometric software VosViewer (Center for Science and Technology Studies) to visualize international collaboration among countries and cocitation networks among journals. This helped identify which countries and journals play central roles in research on aging concepts and revealed how academic contributions are distributed globally. Additionally, content analysis supported by the corpus linguistics software AntConc (Waseda University) was conducted to examine and compare the main focuses, applications, challenges, and future research directions of these concepts.</p><p><strong>Results: </strong>The findings indicate that while all 16 aging concepts share the common goal of improving the quality of life for older adults, they offer different perspectives, encompassing health management, social participation, mental health, and technological innovation. Key challenges to achieving the goal of each aging concept were identified, including unequal access to health care resources, barriers to social participation, and difficulties in adopting technology.</p><p><strong>Conclusions: </strong>The overall impact of these aging concepts on reshaping negative aging narratives remains relatively limited. Future efforts should focus on advancing technology, optimizing policies, enhancing social support systems, and fostering global collaboration to provide innovative and sustainable solutions that promote the overall well-being of older adults.</p>","PeriodicalId":36245,"journal":{"name":"JMIR Aging","volume":"8 ","pages":"e72011"},"PeriodicalIF":4.8,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145132020","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":"Selection, Optimization, and Compensation Strategies Used by Older Adults to Live Well With Technology: Qualitative Study.","authors":"Wei Qi Koh, Kristiana Ludlow, Jacki Liddle, Nancy A Pachana","doi":"10.2196/75019","DOIUrl":"10.2196/75019","url":null,"abstract":"<p><strong>Background: </strong>With rapid digitalization, technologies are increasingly integrated as part of our everyday lives and are becoming increasingly essential for individuals to participate in society. Technology presents opportunities to support healthy aging. Examples include digital health monitoring and opportunities to maintain social connectedness through online platforms. However, the processes in which older adults select and integrate technologies into their daily lives have not been well examined.</p><p><strong>Objectives: </strong>This study uses the Selection, Optimization, and Compensation (SOC) model to understand how older adults integrate technology into their everyday lives to live well. The two key research questions are as follows: (1) How do older adults describe their technology use and their choices, analyzed with respect to SOC processes? (2) How do older adults perceive that technology is a part of living well?</p><p><strong>Methods: </strong>A descriptive qualitative study was conducted. Purposive sampling was used to recruit older adults who were aged 55 years and older, were living in the community, spoke and understood English, and resided in Australia. Five in-person focus groups comprising 20 older adults were conducted. Data were analyzed using hybrid inductive and deductive reflexive thematic analyses, based on the SOC model.</p><p><strong>Results: </strong>All participants resided in Brisbane, Queensland. Older adults selected technology intentionally to enhance different aspects of their daily lives. Perceived \"involuntary\" selection of technology could lead to feelings of resentment or frustration. Optimization strategies included self-monitoring, integrating technology into daily routines, digital literacy and proficiency, and problem-solving skills. Compensatory strategies included choosing alternative technology that suited participants' abilities or skills and seeking support through informal or formal avenues.</p><p><strong>Conclusions: </strong>These findings provide important considerations for technology developers to design technology in collaboration with older adults to ensure that they align with needs and preferences. Digital literacy is not sufficient to empower older adults to use technology; when empowering older adults to use technology, service providers should also consider facilitating other intrinsic and extrinsic resources and skills.</p>","PeriodicalId":36245,"journal":{"name":"JMIR Aging","volume":"8 ","pages":"e75019"},"PeriodicalIF":4.8,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12448253/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145092515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}