Intrinsic Capacity to Predict Future Adverse Health Outcomes in Older Adults: A Scoping Review

Zhou, Jia; Chang, Hui; Leng, Minmin; Wang, Zhiwen

doi:10.3390/healthcare11040450

Cited by 19 publications

(7 citation statements)

References 44 publications

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“…Adding to the growing body of literature on this association [4, 39,56,[60][61][62][63][64], phenotypic frailty was inversely related (longitudinal and cross-sectional) to IC in this study. Frail participants had on average lower IC than the prefrail and robust ones, and the prefrail participants had lower IC scores than the robust participants.…”

Section: Discussionmentioning

confidence: 57%

Development and Validation of an Intrinsic Capacity Score in the UK Biobank Study

Beyene,

Visvanathan,

Ahmed

et al. 2024

Preprint

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Background: In 2015, the World Health Organization introduced the concept of intrinsic capacity (IC) to define the individual-level characteristics that enable an older person to be and do the things they value. This study developed an IC score for UK Biobank (UKB) study participants and validated its use as a tool for health outcome prediction, understanding healthy aging trajectories, and genetic research. Methods: Our analysis included data from 45,208 UKB participants who had a complete record of the ten variables included in the analysis. Factor adequacy was tested using Kaiser Meyer Olkin (KMO), Barthelt, and the determinant of matrix tests, and the number of factors was determined by the parallel analysis method. Exploratory and confirmatory factor analyses were employed to determine the structure and dimensionality of indicators. Finally, the IC score was generated, and its construct and predictive validities as well as reliability were assessed. Results: The factor analysis identified a multidimensional construct comprising, one general factor (IC) and five specific factors (locomotor, vitality, cognitive, psychological, and sensory). The bifactor structure showed a better fit (comparative fit index = 0.995, Tucker Lewis index = 0.976, root mean square error of approximation = 0.025, root mean square residual = 0.009) than the conventional five-factor structure. The IC score, generated using the bifactor confirmatory factor analysis has good construct validity, as demonstrated by an inverse association with age (lower IC in older age; beta = -0.035 (95%CI: -0.036, -0.034)), frailty (lower IC score in prefrail, beta = -0.104 (95%CI: (-0.114, -0.094) and frail, beta = -0.227 (95%CI: -0.267, -0.186) than the robust), and Charlson comorbidity index (CCI) for incident cases (a lower IC score associated with increased CCI, beta, = -0.019 (95%CI: -0.022, -0.015). The IC score also predicted incident CCI (a one-unit increase in baseline IC score led to lower CCI, beta = 0.147 (95%CI: -0.173, -0.121)). Conclusion: The bifactor structure showed a better fit in all goodness of fit tests. The IC construct has strong structural, construct, and predictive validities and it is a promising tool for monitoring aging trajectories. Keywords: Intrinsic capacity, healthy aging, functional ability, physical functioning, mental functioning

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Section: Discussionmentioning

confidence: 57%

Development and Validation of an Intrinsic Capacity Score in the UK Biobank Study

Beyene,

Visvanathan,

Ahmed

et al. 2024

Preprint

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“…The gait analysis helps to estimate the risk of falls and screen for frailty [ 1 ]. Gait-related parameters are also commonly used for intrinsic capacity (IC) and functional ability evaluation [ 2 ] as they correspond to the performance of the older adults in the IC locomotion domain.…”

Section: Introductionmentioning

confidence: 99%

Wrist-to-Tibia/Shoe Inertial Measurement Results Translation Using Neural Networks

Kolakowski,

Djaja-Josko,

Kolakowski

et al. 2024

Sensors

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Most of the established gait evaluation methods use inertial sensors mounted in the lower limb area (tibias, ankles, shoes). Such sensor placement gives good results in laboratory conditions but is hard to apply in everyday scenarios due to the sensors’ fragility and the user’s comfort. The paper presents an algorithm that enables translation of the inertial signal measurements (acceleration and angular velocity) registered with a wrist-worn sensor to signals, which would be obtained if the sensor was worn on a tibia or a shoe. Four different neural network architectures are considered for that purpose: Dense and CNN autoencoders, a CNN-LSTM hybrid, and a U-Net-based model. The performed experiments have shown that the CNN autoencoder and U-Net can be successfully applied for inertial signal translation purposes. Estimating gait parameters based on the translated signals yielded similar results to those obtained based on shoe-sensor signals.

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“…IC encompasses a range of physical and mental functions necessary for well-being and independent living, covering five subdomains, including cognition, locomotion, vitality, psychology, and sensory capacity (vision and hearing) [4,5]. According to the existing literature, IC could also serve as a predictive measure for adverse health outcomes among older adults, such as the decline of functional ability, compromised activities of daily living, and the onset of frailty [6]. Thus, capturing the deficits of IC plays a pivotal role in implementing early intervention and promoting healthy ageing, which also reflects the concept of transitioning from a disease-centered to a function-centered approach in elderly care [7,8].…”

Section: Introductionmentioning

confidence: 99%

The assessment and detection rate of intrinsic capacity deficits among older adults: a systematic review and meta-analysis

Tan,

Wei,

Zhang

et al. 2024

BMC Geriatr

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Background Assessing and monitoring intrinsic capacity (IC) is an effective strategy to promote healthy ageing by intervening early in high-risk populations. This review systematically analyzed the global detection rates of IC deficits and explored variations across diverse populations and data collection methods. Methods This study was preregistered with PROSPERO, CRD42023477315. In this systematic review and meta-analysis, we systematically searched ten databases from January 2015 to October 2023, for peer-reviewed, observational studies or baseline survey of trials that assessed IC deficits among older adults aged 50 and above globally following the condition, context and population approach. The main outcome was intrinsic capacity deficits which could be assessed by any tools. Meta-analyses were performed by a random-effect model to pool the detection rates across studies and subgroup analyses were conducted by populations and data collection methods. Results Fifty-six studies conducted in 13 countries were included in the review and 44 studies with detection rates of IC were included in the meta-analysis. The pooled detection rate of IC deficits was 72.0% (65.2%-78.8%) and deficits were most detected in sensory (49.3%), followed by locomotion (40.0%), cognition (33.1%), psychology (21.9%), and vitality (20.1%). Variations in detection rates of IC deficits were observed across studies, with higher rates observed in low- and middle-income countries (74.0%) and hyper-aged societies (85.0%). Study population and measurement tools also explained the high heterogeneity across studies. Conclusion IC deficits are common among older adults, while heterogeneity exists across populations and by measurement. Early monitoring with standardized tools and early intervention on specific subdomains of IC deficits are greatly needed for effective strategies to promote healthy ageing.

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Intrinsic Capacity to Predict Future Adverse Health Outcomes in Older Adults: A Scoping Review

Cited by 19 publications

References 44 publications

Development and Validation of an Intrinsic Capacity Score in the UK Biobank Study

Development and Validation of an Intrinsic Capacity Score in the UK Biobank Study

Wrist-to-Tibia/Shoe Inertial Measurement Results Translation Using Neural Networks

The assessment and detection rate of intrinsic capacity deficits among older adults: a systematic review and meta-analysis

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