Digital Commons Network^™

Nanosilica-Enhanced Concrete For Commercial Construction, Pavlik Gribanovsky, Angel Lozano, Sebastian Rico

Civil, Environmental and Sustainable Engineering Senior Theses

Concrete is the most widely used construction material in the world. In consequence, the production of Portland cement contributes significantly to global carbon dioxide emissions. As the construction industry seeks more sustainable materials, nanosilica emerges as a promising material capable of enhancing the performance of concrete which would in turn reduce the demand of cement. This project investigated the feasibility of using laboratory-synthesized nanosilica as a concrete admixture to improve the mechanical performance of self-consolidating concrete. Concrete specimens were prepared in accordance with applicable ACI and ASTM procedures, cast into cylindrical molds, cured, and tested for compressive strength at seven …

History To Future: Evolving Agent With Experience And Thought For Zero-Shot Vision-And-Language Navigation, Guangzhao Dai, Shuo Wang, Zihan Wang, Guo-Sen Xie, Yang Yang, Jinshan Pan, Qianru Sun, Xiangbo Shu

Research Collection School Of Computing and Information Systems

Vision-and-Language Navigation in Continuous Environment (VLN-CE) requires an agent to follow language instructions to navigate the target destination. With the advancement of large language models (LLMs), recent efforts have explored adapting them for zero-shot VLN-CE, offering a promising solution in addressing the drawbacks of poor generalization in the training-based paradigm. However, existing LLM-based works primarily perform naive reasoning for decision-making and lack feedback, e.g., reviewing historical errors and predicting future potentials. Consequently, it may suffer from continuous failure for those initial error tasks. In this paper, we rethink LLM-based zero-shot VLN-CE and propose a new paradigm, named EvoNav, to improve …

Task Complexity Matters: An Empirical Study Of Reasoning In Llms For Sentiment Analysis, Donghao Huang, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

Large language models (LLMs) with reasoning capabilities have fueled a compelling narrative that reasoning universally improves performance across language tasks. We test this claim through a comprehensive evaluation of 504 configurations across seven model families—including adaptive, conditional, and reinforcement learning-based reasoning architectures—on sentiment analysis datasets of varying granularity (binary, five-class, and 27-class emotion). Our findings reveal that reasoning effectiveness is strongly task-dependent, challenging prevailing assumptions: (1) Reasoning shows task-complexity dependence—binary classification degrades up to -19.9 F1% points (pp), while 27-class emotion recognition gains up to  +16.0 pp; (2) Distilled reasoning variants underperform base models by 3–18 pp on simpler tasks, …

Cfalr: Collaborative Filtering-Augmented Large Language Model For Personalized Fashion Outfit Recommendation, Yujuan Ding, Junrong Liao, Yunshan Ma, Yi Bin, Wenqi Fan, Tat-Seng Chua, Qing Li

Research Collection School Of Computing and Information Systems

Personalized outfit recommendation poses a significant challenge in e-commerce and social media platforms, requiring systems that balance user preferences with aesthetic compatibility. Collaborative filtering (CF) provides a traditional solution for this, but it struggles with data-sparse scenarios and complex user-item-outfit relationships. Meanwhile, existing template-based approaches are constrained by rigid pre-designed structures. To bridge these research gaps, we introduce CFALR (Collaborative Filtering-Augmented Large Language Model for Recommendation), a novel framework that synergizes collaborative filtering with large language models for personalized outfit recommendation. Specifically, CFALR describes user-outfit interactions in natural language and leverages LLMs to capture fashion semantics while employing CF-enhanced embeddings …

A Reproducible Hdr-Native Psychophysics Infrastructure For Color Science Research, Fernando Voltolini De Azambuja

Theses

Color science psychophysics measures the human visual system by relating controlled visual stimuli to observer responses, often through forced-choice paradigms such as two-alternative forced choice (2AFC) (Kingdom and Prins 2016). These studies require stimuli specified in physically meaningful units, technically correct display emission, and reproducible execution (Fairchild 2013; Lin et al. 2023). In practice, graduate-level experiments often rely on bespoke MATLAB or Python scripts, standard dynamic range (SDR)-first toolchains such as Psychtoolbox and PsychoPy, manual stimulus duplication, and incomplete capture of calibration, colorimetric state, and display capability (Brainard 1997; Peirce et al. 2019). These limitations increase experimental friction and create …

The Educational Disconnect: How Much Do Parents Understand About The Special Education Process?, Marisa Anne Aiello Michalowski

Theses & Dissertations

People with disabilities constitute the largest minority group in the United States. Yet, they face significant barriers that often lead to lowered academic outcomes. Federal and state K-12 educational policies emphasize family engagement as a core component of student success. The problem is that parents are not always fully informed of the special education process or their role on the Committee on Special Education (CSE), which in New York State is a team of educators, specialists, and parents that help determine appropriate special education services and placements. The purpose of this phenomenological research study was to explore the knowledge that …

Intellectual Play And Its Relationship To Teacher Self-Efficacy, Gregory William Kile

All-Inclusive List of Electronic Theses and Dissertations

This study set out to explore what can be done to improve outcomes for students in Indiana public schools and beyond by exploring ways in which educational leaders might be able to increase levels of teacher self-efficacy in their existing staff. It looked specifically at intellectual play, defined as the behaviors associated with metacognition, play, and innovation, and analyzed its relationship with teacher self-efficacy. Student achievement and overall success in school is critically important to them as individuals and to our society as a whole. If there are innovative ways to improve those outcomes for students, they should be explored. …

A Pruning-Based Question-Answering For Interactive Video Search: A Simple Baseline, Yu Tong Cheng, Phuong Anh Nguyen, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

There are various factors affecting the performance of video search. An imprecise query will enlarge search space and reduce the discriminative power of ranking functions. This problem is further exacerbated by the presence of numerous visually or semantically similar videos in large datasets. Consequently, users need to painstakingly browse through many highly similar candidates to locate the search target, leading to increased cognitive load and inefficient searching. Ideally, engaging users through interactive questioning to resolve uncertainties in the search process is an effective strategy for progressively narrowing down the search space. However, despite rapid advances in deep learning, generating informative …

Interfold: Learning Interpretable Diffusion Manifolds Beyond Binary Samples, Alexander Vincent Lewi, Rainer Tan, Shengfeng He

Research Collection School Of Computing and Information Systems

We propose InterFold, a framework for learning and applying interpretable semantic manifolds in latent diffusion models, without requiring binary or paired supervision. Existing methods for semantic editing either rely on limited paired data or uncover only coarse, unsupervised directions that fail to capture user-specific, fine-grained attributes. InterFold addresses these limitations by learning a target attribute manifold in the H-space of diffusion models using only a set of positive, unlabeled examples. To edit a new image, InterFold projects its H-space representation toward this learned manifold through test-time optimization, enabling precise, identity-preserving modifications of complex, non-binary concepts. To make these edits effective …

A Survey Of Earable Technology: Trends, Tools, And The Road Ahead, Changshuo Hu, Qiang Yang, Yang Liu, Tobias Röddiger, Kayla-Jade Butkow, Mathias Ciliberto, Adam Luke Pullin, Jake Stuchbury-Wass, Mahbub Hassan, Cecilia Mascolo, Dong Ma

Research Collection School Of Computing and Information Systems

Earable devices, wearables positioned in or around the ear, are undergoing a rapid transformation from audio-centric accessories into multifunctional systems for interaction, contextual awareness, and health monitoring. This evolution is driven by commercial trends emphasizing sensor integration and by a surge of academic interest exploring novel sensing capabilities. Building on the foundation established by earlier surveys, this work presents a timely and comprehensive review of earable research published since 2022. We attempt to answer three core questions: (1) how has earable research evolved in recent years, (2) what enabling resources are now available, and (3) what opportunities remain for future …

Adaptive Outlier Detection Over Data Stream, Rui Zhu, Mingyuan Jiang, Xiaochun Yang, Baihua Zheng, Bin Wang, Tao Qiu

Research Collection School Of Computing and Information Systems

Continuous distance-based outlier detection in streaming data poses significant challenges and has a wide range of practical applications. Traditional threshold-based methods perform well under stable streaming conditions, where fixed parameters remain effective. However, they often struggle with dynamic data distributions and high stream speeds, leading to suboptimal performance, limited control over the number of returned outliers, and failure to meet real-time detection requirements. To address these issues, this paper introduces a novel Recall and Proportion-Aware Outlier Detection (RPA-OD) query. In RPA-OD, ρ defines a distance relaxation that enables real-time outlier detection. Specifically, objects with fewer than k neighbors within the …

A Novel Hierarchical Multi-Agent System For Payments Using Llms, Donghao Huang, Joon Kiat Chua, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

Large language model (LLM) agents, such as OpenAI’s Operator and Claude’s Computer Use, can automate workflows but unable to handle payment tasks. Existing agentic solutions have gained significant attention; however, even the latest approaches face challenges in implementing end-to-end agentic payment workflows. To address this gap, this research proposes the Hierarchical Multi-Agent System for Payments (HMASP), which provides an end-to-end agentic method for completing payment workflows. The proposed HMASP leverages either open-weight or proprietary LLMs and employs a modular architecture consisting of the Conversational Payment Agent (CPA - first agent level), Supervisor agents (second agent level), Routing agents (third agent …

“Alexa, Do Not Say That In Front Of My Boss!” A Cross-Cultural Comparison Of User And Ai Preferences For Privacy-Aware Smart Speaker Interactions Across Contexts, Lynne Warin, Emily Aurelia, Anthony Tang, Emily Aurelia, Delphine Reinhardt

Research Collection School Of Computing and Information Systems

Due to their limited ability to reason about the social context in which they are used, smart speakers pose significant privacy risks by responding in ways that may violate people's implicit social boundaries. We conducted a cross-cultural vignette study (N = 944) in Germany and Singapore to investigate how situational factors—specifically social context (bystander relationships and closeness), physical context (location), and interaction context (topic and deceptive intent)—regulate user preferences for smart speaker responses. Our results demonstrate that these factors are superior predictors of response preferences than dispositional user traits (i.e., intrinsic personal traits). We identify two distinct social dynamics: a …

Calibrations And Compliance: The Role Of Motivations In Policy Instrument Design, Panchali Guha, Ishani Mukherjee

Research Collection School of Social Sciences

Most research on the role of policy calibrations in fostering policy target compliance has focused on the calibration of incentives and deterrents; less attention has been paid to examining the deployment and calibration of a wider range of policy instruments with the intention of eliciting a greater degree of compliance from policy targets with heterogeneous motivations. This article addresses this gap in the literature by empirically testing multiple hypotheses on the relationship between the calibration of different kinds of policy instruments and policy compliance for policy targets characterized by different motivations. Using data from a vignette experiment set in the …

Dementia, Advance Directives, And Second-Order Volitions, Rand Hirmiz

Research Collection School of Social Sciences

This paper contributes to the ongoing debate over the authority of advance directives in cases where patients with dementia express desires that conflict with their earlier wishes. Drawing on Harry Frankfurt’s concept of second-order volitions, I argue that the preferences of the pre-dementia self (the “then-self”) should, in most cases, take precedence over those of the post-dementia self (the “now-self”) –  particularly in instances where the now-self has lost the capacity to form second-order volitions and is no longer able to meaningfully repudiate prior values and commitments.

Analytical And Cross-Sectional Clinical Validity Of A Smartphone-Based U-Turn Test In Multiple Sclerosis, Marta Plonka, Rafal Klimas, Dimitar Stanev, Lorenza Angelini, Natan Naplorkowski, Gaby Gonzalez Chan, Lisa Bunn, Paul Glazier, Richard Hosking, Jennifer Freeman, Jeremy Hobart, Mattia Zanon, Jonathan Marsden, Licinio Craveiro, Mike D. Rinderknecht

School of Health Professions

Background: Gait and balance impairment can profoundly impact people with multiple sclerosis (PwMS). Objectives: To evaluate the analytical and clinical validity of the U-Turn Test (UTT), a smartphone-based assessment of dynamic balance in PwMS. Methods: The GaitLab study (ISRCTN15993728) enrolled adult PwMS (EDSS 0.0 – 6.5). PwMS performed the UTT in a gait laboratory (supervised) using six smartphones at different wear locations and daily during a two-week remote period (unsupervised) using one smartphone (belt front). Median turn speed was computed per UTT. In the supervised setting, turn detection accuracy of smartphones was compared to motion capture (mocap) via F1 scores. …

Grammar Expert: A University-Based Grammar Application To Support Grammar Learning And Writing Instruction, Ivy Chan, Yin Teng Chong

Research Collection College of Integrative Studies

Technologies like web-based grammar applications have been integrated into classroom writing pedagogy to enhance students’ learning experiences. Drawing from qualitative findings from students’ interviews and reflection journals over one semester, this technology review focuses predominantly on university students’ perceptions towards an internally developed grammar application, Grammar Expert. Adopting the Technology Affordances and Constraints Theory (TACT) framework, the review identifies that GE’s affordances include promoting engagement in grammar learning, offering a flexible and encouraging environment, and ensuring real-world applicability, while its constraints involve aspects related to a limited user interface. Subsequently, the authors will present their pedagogical narrative on integrating this …

Scaling Up Multi-Agent Reinforcement Learning For Large Agent Teams And Long-Horizon Tasks: A Survey, Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Multi-agent reinforcement learning (MARL) empowers multiple autonomous agents to acquire effective policies for collaborative problem-solving. Over the last decade, MARL has seen significant advancements, with numerous algorithms achieving impressive performance across various benchmarks and real-world applications. Nevertheless, the scalability of multi-agent systems, in terms of the number of agents and the length of the task horizon, remains a critical consideration for applying MARL methods to complex problem-solving. Given that a dedicated review of the existing approaches and challenges in scaling up multi-agent systems remains largely absent, this survey aims to bridge this gap by delivering a comprehensive review of MARL …

Chronic Conditions And Mortality In Medicare Beneficiaries Before And After The Covid-19 Pandemic, R J Waken, Fengxian Wang, Jose F Figueroa, Rishi K Wadhera, Khavya Avula, E John Orav, Anne Mobley Butler, Karen E Joynt Maddox

2020-Current year OA Pubs

IMPORTANCE: There were well-documented changes in health care use during the COVID-19 pandemic. Little is known about whether there were any associated decreases in claims-based comorbidity ascertainment that might have relevance to health services and policy research.

OBJECTIVE: To quantify differences in claims-based comorbidity assessment in Medicare beneficiaries pre- vs post-COVID-19.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study analyzed data from the 30 Chronic Conditions Warehouse 1- or 2-year lookback claims algorithms to ascertain each comorbidity with exact date ranges for all fee-for-service (FFS) and Medicare Advantage (MA) beneficiaries. Data were analyzed from April 2025 to April 2026.

EXPOSURES: The …

Technical Trends In Management Of Acl Reconstructions In 2025: A Major League Soccer Team Physicians Survey, Matthew Varano, Henry Eilen, Catherine Hand, Camden Bohn, Yining Lu, Rachel Frank, Danyal Nawabi, Robert Brophy, Bert Mandelbaum, Brian Forsythe

2020-Current year OA Pubs

BACKGROUND: The optimal graft choice for anterior cruciate ligament reconstruction (ACLR) remains a subject of ongoing debate. In practice, graft selection in ACLR is multifactorial, with patient characteristics, activity level, and surgeon preference/training background all playing a crucial role in the clinical decision-making process. While graft trends have been reported across select professional sports leagues, none have focused specifically on professional soccer.

PURPOSE: To report current trends in graft preference for ACLR among Major League Soccer (MLS) surgeons.

STUDY DESIGN: Cross-sectional study.

METHODS: A 39-question survey was distributed to 27 orthopaedic surgeons affiliated with MLS teams in January 2025. The …

On The Right To Obscurity, Woodrow Hartzog, Evan Selinger

Faculty Scholarship

Tragically, U.S. privacy law has neglected to address a significant dimension of privacy. While lawmakers and judges have routinely recognized intrusions into our secluded spaces and breaches of our confidentiality and secrecy, they have largely failed to protect our most common yet also our most underappreciated form of privacy: the practical obscurity that allows us to live freely and with dignity. Obscurity, which is the state of protection that arises when personal information is difficult for some people to obtain or correctly interpret, serves several vital interests: (1) it safeguards our ability to express ourselves without fear that everything we …

The Corporate Restructuring Machine: Introducing An Open Platform Approach To Workouts, Horst Eidenmüller, Jared Mayer

Articles

Out-of-court corporate reorganizations, or “corporate workouts,” allow dispersed investors with differing interests to coalesce and strike deals to successfully reorganize distressed companies. Corporate workouts, however, suffer from a host of well-known problems, creating “process fragility.” Current bargaining dynamics limit the instances in which corporate workouts can be used, narrow the kinds of deals that can be made, and invite opportunistic and other socially costly behavior. Yet the Artificial Intelligence (AI) revolution is here; how can it help parties navigate corporate workouts?

In this Article, we argue that AI is well situated to help increase the efficiency of corporate workouts. Based …

Escalation By Algorithm, Restraint By Architecture: Pakistan’S Military Ai Divergence, Sajjad Ahmed, Ahmad Nizar Yaakub, Asma Javed

Journal of Strategic Security

Debates on military artificial intelligence (AI) remain skewed toward great power dynamics, oscillating between techno-optimist celebrations of speed and techno-pessimist warnings of collapse. This binary overlooks how middle powers, operating under nuclearized rivalry and asymmetric sanction risk, embed restraint into organizational and technical practice. This article develops Systems Restrained Realism (SRR), a framework that extends defensive realism into the machine age by theorizing restraint as a deliberate doctrinal posture rather than a symptom of incapacity. Using Pakistan as a critical case, the study draws on expert interviews, procurement manuals, and UN submissions to demonstrate how restraint is operationalized through latency …

Age-Related Increase In Plasma P-Tau217 In Amyloid-Beta–Negative Cognitively Unimpaired Individuals Affects Diagnostic Interpretation, Anna E. Mammel, Fernando Gonzalez-Ortiz, Ali Mousavi, Kelsey Hallett, Mary Encarnacion, Don Biehl, Pradip Gill, Sazan Ismael, Christopher Fowler, James D. Doecke, Larry Ward, Hans Frykman

Research outputs 2022 to 2026

Introduction: The extent to which non-pathological aging influences plasma biomarkers remains unclear. Here, we investigate factors influencing plasma p-tau217 levels in cognitively unimpaired (CU), amyloid-beta–negative (Aβ-) individuals. Methods: Plasma p-tau217 was measured in CU Aβ- positron emission tomography–negative (PET-) participants using two immunoassays (ALZpath n = 360 and LUMIPULSE G1200 n = 73). Associations between p-tau217 and age groups (60–69, 70–79, and 80+ years), apolipoprotein E (APOE) genotype, and gender were evaluated. Results: ALZpath plasma p-tau217 showed a non-pathological age-related increase (p < 0.001), and increased percentage within the intermediate zone with age. Lumipulse p-tau217 showed an increase in the percentage of subjects with positive results with age, however, this trend was not significant (p > 0.05). Men had higher levels of p-tau217 only with the ALZpath assay (p = 0.02; Lumipulse: p = …

Evidence For Direct And Sleep-Moderated Relationships Between Aquaporin-4 Genetic Variants And Alzheimer's Disease Phenotypes, Tenielle Porter, Ayeisha Milligan Armstrong, Eleanor K. O'Brien, Vincent Doré, Pierrick Bourgeat, Mitchell Turner, Paul Maruff, Christopher C. Rowe, Belinda M. Brown, Victor L. Villemagne, Stephanie R. Rainey-Smith, Simon M. Laws

Research outputs 2022 to 2026

Introduction: Variants in the aquaporin-4 gene (AQP4) have been associated with Alzheimer's disease (AD) diagnosis, cognition, and brain amyloid beta (Aβ) and may affect the sleep and Aβ relationship. Their association with other AD-related phenotypes/disease progression remain largely unknown. Methods: Associations between AQP4 variants, self-reported sleep measures, and AD-related phenotypes in cognitively unimpaired individuals with evidence of Aβ accumulation were examined using data from the Australian Imaging, Biomarkers and Lifestyle study. Results: AQP4 variants were directly associated with regional brain volumes, atrophy, and cognition. They were also associated with differences in regional brain volumes and atrophy in interaction with sleep …

Geometric Characterization Of Ideals In Bipolar Semigroups, Kittipong Laipaporn, Rasimate Maungchang, David M. Cook, Prathomjit Khachorncharoenkul

Research outputs 2022 to 2026

This paper develops a geometric framework for analyzing the ideal structure of the bipolar semigroup ��={(−��,��)∣��,��∈ℝ+0} under coordinate-wise addition. Subsets of B are interpreted as planar regions, allowing ideals to be described in terms of boundary behavior. In particular, we prove that the complement of a simply connected region is an ideal of the commutative additive semigroup (��,+) if and only if its boundary contains no strictly decreasing segment. This provides a direct and visually verifiable criterion for ideality, linking algebraic structure to geometric shape. Each ideal can be written as a union of translates of the form ��+��, with …

Georoad-Upernet: Geo-1-Based Weakly Supervised Multispectral Road Extraction Via Role-Aware Context Fusion And Semantic Regularization, Shaoqian Chen, Yunliang Chen, Jianxin Li, Ao Yang

Research outputs 2022 to 2026

Extracting roads accurately from remote sensing images is important for map updates, traffic analysis, and infrastructure monitoring. Medium-resolution multispectral images can provide useful surface and background information, but when used alone, the spatial details are limited for retaining narrow roads, intersection structures, and fine road topologies. To address this problem, this paper proposes GeoRoad-UPerNet, a Geo-1-centered weakly supervised multispectral framework for road extraction. In this framework, Geo-1 serves as the primary 16-band multispectral source, Sentinel-2 Level-2A imagery serves as auxiliary contextual support, and OpenStreetMap (OSM) road information is converted into proxy supervision rather than dense manual ground truth. GeoRoad-UPerNet contains …

Influence Of Intended Slow And Fast Eccentric Back Squat Velocity On Subsequent Countermovement Jump Performance, Artemis Zarkadoula, Themistoklis Tsatalas, Anthony D. Kay, Anthony J. Blazevich, Christos Kokkotis, Spyridon Plakias, Brett Anthony Baxter, Alex J. Van Enis, Giannis Giakas, Minas A. Mina

Research outputs 2022 to 2026

Background: The back squat is a key strength and conditioning exercise used to develop lower-limb strength and power, yet little is known about how movement velocity influences its acute performance-enhancing effects, such as improvements in countermovement jump height and power. The present study examined the acute effects of slow (vslow) versus fast (vfast) eccentric-phase velocity during back squats performed withmaximal concentric velocity on subsequent countermovement jump (CMJ) performance, using a randomized, crossover design. Methods: Fourteen male subjects (age = 22.9 ± 1.9 years; height = 1.8 ± 0.1 m; mass = 76.4 ± 8.3 kg) visited the laboratory on two …

Peripheral Neuromuscular Fatigue Responses Of The Knee Extensors To Distinct Concurrent Training Protocols: A Preliminary Study, Tomás T. Freitas, Elena Marín-Cascales, Cristian Marín-Pagán, Linda H. Chung, Antonio Martínez-Serrano, Nicola A. Maffiuletti, Anthony J. Blazevich, Pedro E. Alcaraz

Research outputs 2022 to 2026

Background: This study aimed to investigate the extent and time course of peripheral neuromuscular fatigue of the knee extensors following different concurrent training protocols in recreationally active men. Methods: In a randomized, counterbalanced, crossover design, ten participants completed one exercise session of three concurrent exercise protocols in consecutive weeks and in similar resting conditions: traditional concurrent training (TCT), sprint interval training (SIT), and high-intensity resistance circuit training (HRC). Maximal voluntary isometric contraction (MVIC) and electrically evoked tetanic force of the knee extensors were assessed before, immediately after, and at 24 and 48 h following each exercise session. Linear mixed models …

The Interplay Between Osteosarcopenia And Intrinsic Capacity: Insights And Associations With All-Cause Mortality In The Toledo Study For Healthy Aging, Ivan Baltasar-Fernandez, Pedro L. Valenzuela, Irene Rodríguez-Gómez, Fabio Quiñonez-Bareiro, Luis M. Alegre, Konstantinos Prokopidis, Leocadio Rodriguez-Mañas, Ignacio Ara, Oscar Rosas-Carrasco, Lana J. Williams, Robinson Ramirez-Vélez, Julie A. Pasco, Guy Hajj-Boutros, Raman Agnihotram, Marc Sim, Wayne Lok Ok Choo, Mahdi Imani, Ana M. Ayala-Copete, Julia Chabot, Miguel G. Borda, Nailton J. Neto, Claire Godard-Sebillotte, Howard Bergman, Anna Andrianova, Hidenori Arai, Pierrette Gaudreau

Research outputs 2022 to 2026

Background: Osteosarcopenia—the coexistence of osteopenia/osteoporosis and sarcopenia—is associated with numerous adverse health outcomes, but its association with intrinsic capacity (IC) remains unknown. We aimed to explore the associations of osteosarcopenia with IC and all-cause mortality in older adults. Methods: We conducted a cross-sectional analysis of IC and a prospective analysis of all-cause mortality in 1142 participants from the Toledo Study for Healthy Aging (75.1 ± 6.0 years, 53.1% women). Participants were classified as having no musculoskeletal disorders, osteopenia/osteoporosis, sarcopenia, or osteosarcopenia (DXA- and EWGSOP2-based criteria). IC was operationalized as a composite score integrating locomotion, cognition, psychological, vitality, and sensory domains. …