Reference centiles for intrinsic capacity throughout adulthood and their association with clinical outcomes: a cross-sectional analysis from the INSPIRE-T cohort

  • Beard, J. R. et al. The World report on ageing and health: a policy framework for healthy ageing. Lancet 387, 2145–2154 (2016).

    Article 
    PubMed 

    Google Scholar 

  • Cesari, M. et al. Evidence for the domains supporting the construct of intrinsic capacity. J. Gerontol. Ser. A Biol. Sci. Med. Sci. 73, 1653–1660 (2018).

    Article 

    Google Scholar 

  • Tay, L. et al. Association of intrinsic capacity with frailty, physical fitness and adverse health outcomes in community-dwelling older adults. J. Frailty Aging. 12, 7–15 (2023).

  • González-Bautista, E., de Souto Barreto, P., Andrieu, S., Rolland, Y. & Vellas, B. Screening for intrinsic capacity impairments as markers of increased risk of frailty and disability in the context of integrated care for older people: secondary analysis of MAPT. Maturitas 150, 1–6 (2021).

    Article 
    PubMed 

    Google Scholar 

  • Ma, L. et al. Cross-sectional study examining the status of intrinsic capacity decline in community-dwelling older adults in China: prevalence, associated factors and implications for clinical care. BMJ Open 11, e043062 (2022).

  • Stolz, E., Mayerl, H., Freidl, W., Roller-Wirnsberger, R. & Gill, T. M. Intrinsic capacity predicts negative health outcomes in older adults. J. Gerontol. Ser. A Biol. Sci. Med. Sci. 77, 101–105 (2022).

    Article 

    Google Scholar 

  • Meng, L.-C., Huang, S.-T., Peng, L.-N., Chen, L.-K. & Hsiao, F.-Y. Biological features of the outcome-based intrinsic capacity composite scores from a population-based cohort study: pas de deux of biological and functional aging. Front. Med. (Lausanne) 9, 851882 (2022).

    Article 
    PubMed 

    Google Scholar 

  • World Health Organization. Integrated care for older people (ICOPE): guidance for person-centred assessment and pathways in primary care. https://www.who.int/publications/i/item/WHO-FWC-ALC-19.1 (2019).

  • López-Ortiz, S. et al. Defining and assessing intrinsic capacity in older people: a systematic review and a proposed scoring system. Ageing Res. Rev. 79, 101640 (2022).

    Article 
    PubMed 

    Google Scholar 

  • Beard, J. R., Jotheeswaran, A. T., Cesari, M. & Araujo de Carvalho, I. The structure and predictive value of intrinsic capacity in a longitudinal study of ageing. BMJ Open 9, e026119 (2019).

  • Beard, J. R., Si, Y., Liu, Z., Chenoweth, L. & Hanewald, K. Intrinsic capacity: validation of a new WHO concept for healthy aging in a longitudinal Chinese study. J. Gerontol. Ser. A Biol. Sci. Med. Sci. 77, 94–100 (2022).

    Article 

    Google Scholar 

  • World Health Organization. WHO Clinical Consortium on Healthy Ageing: topic focus—frailty and intrinsic capacity. https://www.who.int/publications/i/item/WHO-FWC-ALC-17.2 (2017).

  • Cesari, M., Vanacore, N. & Agostoni, C. The two extremes meet: pediatricians, geriatricians and the life-course approach. Pediatr. Res. 86, 432–435 (2019).

    Article 
    PubMed 

    Google Scholar 

  • Beard, J. R. & Chen, M. Intrinsic capacity as a composite outcome measure: opportunities and challenges. J. Nutr. Health Aging 27, 398–400 (2023).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Ghosh, A., Millett, C., Subramanian, S. V. & Pramanik, S. Neighborhood heterogeneity in health and well-being among the elderly in India—evidence from Study on global AGEing and adult health (SAGE). Health Place 47, 100–107 (2017).

    Article 
    PubMed 

    Google Scholar 

  • Belloni, G. & Cesari, M. Frailty and intrinsic capacity: two distinct but related constructs. Front. Med. (Lausanne) 6, 133 (2019).

  • Liu, S. et al. Trajectory and correlation of intrinsic capacity and frailty in a Beijing elderly community. Front. Med. (Lausanne) 8, 751586 (2021).

    Article 
    PubMed 

    Google Scholar 

  • Tay, L., Tay, E. L., Mah, S. M., Latib, A. & Ng, Y. S. Intrinsic capacity rather than intervention exposure influences reversal to robustness among prefrail community-dwelling older adults: a non-randomized controlled study of a multidomain exercise and nutrition intervention. Front. Med. (Lausanne) 9, 971497 (2022).

  • Cole, T. J. Sample size and sample composition for constructing growth reference centiles. Stat. Methods Med. Res. 30, 488–507 (2021).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • de Souto Barreto P. et al. The INSPIRE research initiative: a program for GeroScience and healthy aging research going from animal models to humans and the healthcare system. J. Frailty Aging 10, 86–93 (2021).

  • Guyonnet, S. et al. The INSPIRE bio-resource research platform for healthy aging and geroscience: focus on the human translational research cohort (the INSPIRE-T cohort). J. Frailty Aging 10, 110–120 (2021).

    CAS 
    PubMed 

    Google Scholar 

  • Folstein, M. F., Folstein, S. E. & McHugh, P. R. ‘Mini-mental state’: a practical method for grading the cognitive state of patients for the clinician. J. Psychiatr. Res. 12, 189–198 (1975).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Guralnik, J. M. et al. A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. J. Gerontol. 49, M85–M94 (1994).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Kroenke, K., Spitzer, R. L. & Williams, J. B. W. The PHQ-9: validity of a brief depression severity measure. J. Gen. Intern. Med. 16, 606–613 (2001).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Bautmans, I. et al. WHO working definition of vitality capacity for healthy longevity monitoring. Lancet Health Longev. 3, e789–e796 (2022).

    Article 

    Google Scholar 

  • Granic, A. et al. Initial level and rate of change in grip strength predict all-cause mortality in very old adults. Age Ageing 46, 970–976 (2017).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Sasaki, H., Kasagi, F., Yamada, M. & Fujita, S. Grip strength predicts cause-specific mortality in middle-aged and elderly persons. Am. J. Med. 120, 337–342 (2007).

    Article 
    PubMed 

    Google Scholar 

  • Lu, W.-H. et al. Plasma inflammation‐related biomarkers are associated with intrinsic capacity in community‐dwelling older adults. J. Cachexia Sarcopenia Muscle 14, 930–939 (2023).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Charlson, M. E., Pompei, P., Ales, K. L. & MacKenzie, C. R. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J. Chronic Dis. 40, 373–383 (1987).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Liu, H. et al. Effect of comorbidity assessed by the Charlson comorbidity index on the length of stay and mortality among immobile hemorrhagic stroke patients younger than 50 years. Front. Neurol. 11, 487 (2020).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Fried, L. P. et al. Frailty in older adults: evidence for a phenotype. J. Gerontol. Ser. A Biol. Sci. Med. Sci. 56, M146–M157 (2001).

    Article 
    CAS 

    Google Scholar 

  • Katz, S., Downs, T. D., Cash, H. R. & Grotz, R. C. Progress in development of the index of ADL. Gerontologist 10, 20–30 (1970).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Lawton, M. P. & Brody, E. M. Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist 9, 179–186 (1969).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Ferrucci, L. et al. Subsystems contributing to the decline in ability to walk: bridging the gap between epidemiology and geriatric practice in the InCHIANTI study. J. Am. Geriatr. Soc. 48, 1618–1625 (2000).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Box, G. E. P. & Cox, D. R. An analysis of transformations. J. R. Stat. Soc. Ser. B 26, 211–252. (1964).

    Google Scholar 

  • Cole, T. J. The LMS method for constructing normalized growth standards. Eur. J. Clin. Nutr. 44, 45–60 (1990).

    CAS 
    PubMed 

    Google Scholar 

  • Rigby, R. A. & Stasinopoulos, D. M. Smooth centile curves for skew and kurtotic data modelled using the Box-Cox power exponential distribution. Stat. Med. 23, 3053–3076 (2004).

    Article 
    PubMed 

    Google Scholar 

  • Rigby, R. A. & Stasinopoulos, D. M. Using the Box-Cox t distribution in GAMLSS to model skewness and kurtosis. Stat. Modelling 6, 209–229 (2006).

    Article 

    Google Scholar 

  • Cole, T. J. & Green, P. J. Smoothing reference centile curves: the LMS method and penalized likelihood. Stat. Med. 11, 1305–1319 (1992).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Van Buuren, S. & Fredriks, M. Worm plot: a simple diagnostic device for modelling growth reference curves. Stat. Med. 20, 1259–1277 (2001).

    Article 
    PubMed 

    Google Scholar 

  • Aliberti, M. J. R. et al. Validating intrinsic capacity to measure healthy aging in an upper middle-income country: findings from the ELSI-Brazil. Lancet Reg. Health Am. 12, 100284 (2022).

    PubMed 
    PubMed Central 

    Google Scholar 

  • Andrieu, S. et al. Effect of long-term omega 3 polyunsaturated fatty acid supplementation with or without multidomain intervention on cognitive function in elderly adults with memory complaints (MAPT): a randomised, placebo-controlled trial. Lancet Neurol. 16, 377–389 (2017).

    Article 
    CAS 
    PubMed 

    Google Scholar 

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