TARGET: A Singapore National Cohort for Assessing Geriatric Fall and Fracture Risk in the Community

Abstract The Targeted Assessment and Recruitment of Geriatrics for Effective fall prevention Treatments (TARGET) study is a national prospective cohort study in Singapore, integrating novel health technology approaches, to develop cost-effective and scalable frameworks for early detection and prevention of falls and fractures in community-dwelling older adults. TARGET combines epidemiological survey data with data from novel wearable sensor, clinical imaging and virtual reality (VR) technology to predict the risk of incident falls and hip fractures. Between October 2022 and October 2024, a total of 2,291 Singapore residents aged 60 years and older were enrolled. Participants underwent a baseline fall risk assessment (T0) comprising (i) an interview to capture sociodemographic, anthropometric, physical, functional, and psychosocial measures, (ii) gait assessment using wearable inertial measurement unit motion sensors, (iii) dual-energy X-ray absorptiometry and whole-body 3D scans, and (iv) VR-based spatial navigation assessment. While all participants underwent (i) and (ii), a subset (13%-39%) underwent (iii) to (v). Prospective follow-up of participants – every three months for two years (T1-T8) to monitor incident falls, fractures and cognitive status – is ongoing. Electronic medical records are also being linked, providing objective longitudinal data on fall-related morbidity, mortality, healthcare utilisation and costs. Statistical analyses focus on (i) developing and validating personalised risk prediction models to identify fallers, (ii) developing hip fracture risk prediction models for clinical decision-making, (iii) assessing the predictive utility of VR technology for detecting cognitive decline and fall risk, and (iv) understanding the psychological and sociodemographic correlates of fall risk in older adults.

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Publication Details

Journal
Innovation in Aging
Published
2025-12-01
DOI
https://doi.org/10.1093/geroni/igaf122.980
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
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article

TARGET: A Singapore National Cohort for Assessing Geriatric Fall and Fracture Risk in the Community

Lakkhina Troeung, Kok Yang Tan, Rahul Malhotra, Vanessa Jean Wen Koh et al.
Innovation in Aging
Balance, Gait, and Falls Prevention
article

TARGET: A Singapore National Cohort for Assessing Geriatric Fall and Fracture Risk in the Community

Lakkhina Troeung, Kok Yang Tan, Rahul Malhotra, Vanessa Jean Wen Koh, W. Taylor, David Bruce Matchar, Angelique Wei-Ming Chan, Abhijit Visaria
article en

Abstract

Abstract The Targeted Assessment and Recruitment of Geriatrics for Effective fall prevention Treatments (TARGET) study is a national prospective cohort study in Singapore, integrating novel health technology approaches, to develop cost-effective and scalable frameworks for early detection and prevention of falls and fractures in community-dwelling older adults. TARGET combines epidemiological survey data with data from novel wearable sensor, clinical imaging and virtual reality (VR) technology to predict the risk of incident falls and hip fractures. Between October 2022 and October 2024, a total of 2,291 Singapore residents aged 60 years and older were enrolled. Participants underwent a baseline fall risk assessment (T0) comprising (i) an interview to capture sociodemographic, anthropometric, physical, functional, and psychosocial measures, (ii) gait assessment using wearable inertial measurement unit motion sensors, (iii) dual-energy X-ray absorptiometry and whole-body 3D scans, and (iv) VR-based spatial navigation assessment. While all participants underwent (i) and (ii), a subset (13%-39%) underwent (iii) to (v). Prospective follow-up of participants – every three months for two years (T1-T8) to monitor incident falls, fractures and cognitive status – is ongoing. Electronic medical records are also being linked, providing objective longitudinal data on fall-related morbidity, mortality, healthcare utilisation and costs. Statistical analyses focus on (i) developing and validating personalised risk prediction models to identify fallers, (ii) developing hip fracture risk prediction models for clinical decision-making, (iii) assessing the predictive utility of VR technology for detecting cognitive decline and fall risk, and (iv) understanding the psychological and sociodemographic correlates of fall risk in older adults.

Innovation in AgingVol. 9(Supplement_2)
ETH Zurich (CH), Institute for Biomedical Engineering (CH), Duke-NUS Medical School (SG)
Good health and well-being
Openalex Percentile: Top 21%
Balance, Gait, and Falls Prevention
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