Skip to main content
Log in

Trajectories of Intrinsic Capacity: Determinants and Associations with Disability

  • Original Research
  • Published:
The journal of nutrition, health & aging

Abstract

Objectives

Intrinsic capacity (IC) declines progressively with age, thereby increasing the risk of disability. However, it is less known whether IC trajectories are associated with disability. This study aims to identify the different patterns of IC trajectories in older people, and examine their determinants and associations with Instrumental Activities of Daily Living (IADL).

Design

Cohort study.

Setting

Community centres in different regions in Hong Kong.

Participants and Measurements

Longitudinal data from community-dwelling older people aged 60 years or above (n = 1371) collected between 2016 and 2021 was analysed. Their mean age was 74.5 years, and 78.7% of them were female. Repeated measurements of a set of 14 self-reported items were used to generate IC scores at four time points using a bi-factor model. Latent class growth analysis was performed to identify classes with distinct IC trajectories. The association between class membership and IADL disability was then examined using logistic regression.

Results

Three distinct IC trajectories were identified. The 1st class included those with the highest level of baseline IC and the least declining trajectory, whereas the 3rd class was composed by those with the lowest level of baseline IC and the most declining trajectory. Older age, female gender, lower perceived financial adequacy, living in public or subsidized housing, and chronic diseases were associated with the 3rd class. After adjusting for demographic factors, socioeconomic status, and the number of chronic diseases, the 1st class was more likely to preserve IADL when compared against the 2nd class, with OR being 3.179 (95% CI: 2.152–4.793), whereas for the 3rd class, the OR was 0.253 (95% CI: 0.178–0.359).

Conclusion

Monitoring IC trajectories is of relevance to clinical practice, as it helps shift the focus from treating acute episodes of illness to preserving the functional ability of older people.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1
Figure 2

Similar content being viewed by others

References

  1. WHO. WHO methods and data sources for life tables 1990–2019. Geneva, World Health Organization; 2020.

    Google Scholar 

  2. Chatterji S, Byles J, Cutler D, Seeman T, Verdes E. Health, functioning, and disability in older adults—present status and future implications. Lancet 2015;385(9967):563–575. doi: https://doi.org/10.1016/S0140-6736(14)61462-8.

    Article  PubMed  Google Scholar 

  3. Yu R, Wong M, Chong KC, Chang B, Lum CM, Auyeung TW, Lee J, Lee R, Woo J. Trajectories of frailty among Chinese older people in Hong Kong between 2001 and 2012: An age-period-cohort analysis. Age Ageing 2018;47(2):254–261. doi: https://doi.org/10.1093/ageing/afx170.

    Article  PubMed  Google Scholar 

  4. WHO. World report on ageing and health. Geneva: World Health Organization; 2015.

    Google Scholar 

  5. Lordos EF, Herrmann FR, Robine JM, Balahoczky M, Giannelli SV, Gold G, Michel JP. Comparative value of medical diagnosis versus physical functioning in predicting the 6-year survival of 1951 hospitalized old patients. Rejuvenation Res 2008;11(4):829–836. doi: https://doi.org/10.1089/rej.2008.0721.

    Article  PubMed  Google Scholar 

  6. Amuthavalli Thiyagarajan J, Mikton C, Harwood RH, Gichu M, Gaigbe-Togbe V, Jhamba T, Pokorna D, Stoevska V, Hada R, Steffan GS. The UN Decade of healthy ageing: Strengthening measurement for monitoring health and wellbeing of older people. Age Ageing 2022;51(7):afac147. doi: https://doi.org/10.1093/ageing/afac147.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Cesari M, de Carvalho IA, Amuthavalli Thiyagarajan J, Cooper C, Martin FC, Reginster JY, Vellas B, Beard JR. Evidence for the domains supporting the construct of intrinsic capacity. J Gerontol A Biol Sci Med Sci 2018;73(12):1653–1660. doi: https://doi.org/10.1093/gerona/gly011.

    Article  PubMed  Google Scholar 

  8. Beard JR, Amuthavalli Thiyagarajan J, Cesari M, de Carvalho IA. The structure and predictive value of intrinsic capacity in a longitudinal study of ageing. BMJ Open 2019;9(11):e026119. doi: https://doi.org/10.1136/bmjopen-2018-026119.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Yu R, Amuthavalli Thiyagarajan J, Leung J, Lu Z, Kwok T, Woo J. Validation of the construct of intrinsic capacity in a longitudinal Chinese cohort. J Nutr Health Aging 2021;25(6):808–815. doi: https://doi.org/10.1007/s12603-021-1637-z.

    Article  CAS  PubMed  Google Scholar 

  10. Beard JR, Si Y, Liu Z, Chenoweth L, Hanewald K. Intrinsic capacity: Validation of a new WHO concept for healthy ageing in a longitudinal Chinese study. J Gerontol A Biol Sci Med Sci 2021. doi: https://doi.org/10.1093/gerona/glab226.

  11. Aliberti MJR, Bertola L, Szlejf C, Oliveira D, Piovezan RD, Cesari M, de Andrade FB, Lima-Costa MF, Perracini MR, Ferri CP. Validating intrinsic capacity to measure healthy aging in an upper middle-income country: Findings from the ELSI-Brazil. The Lancet Regional Health-Americas 2022;12:100284. doi: https://doi.org/10.1016/j.lana.2022.100284.

    Article  PubMed  Google Scholar 

  12. Prince MJ, Acosta D, Guerra M, Huang Y, Jacob KS, Jimenez-Velazquez IZ, Amuthavalli Thiyagarajan J, Rodriguez JJL, Salas A, Sosa AL. Intrinsic capacity as a framework for Integrated Care for Older People (ICOPE); insights from the 10/66 Dementia Research Group cohort studies in Latin America, India and China. medRxiv 2019:19006403. doi: https://doi.org/10.1101/19006403.

  13. Charles A, Buckinx F, Locquet M, Reginster JY, Petermans J, Gruslin B, Bruyère O. Prediction of adverse outcomes in nursing home residents according to intrinsic capacity proposed by the World Health Organization. J Gerontol A Biol Sci Med Sci 2020;75(8):1594–1599. doi: https://doi.org/10.1093/gerona/glz218.

    Article  Google Scholar 

  14. WHO. Integrated care for older people (ICOPE): Guidance for person-centred assessment and pathways in primary care. Geneva: World Health Organization. (WHO/FWC/ALC/19.1). License: CC BY-NC-SA 3.0 IGO; 2019.

    Google Scholar 

  15. Lu S, Liu Y, Guo Y, Ho HC, Song Y, Cheng W, Chui CHK, Chan OF, Webster C, Chiu RLH. Neighbourhood physical environment, intrinsic capacity, and 4-year late-life functional ability trajectories of low-income Chinese older population: A longitudinal study with the parallel process of latent growth curve modelling. EClinicalMedicine 2021;36:100927. doi: https://doi.org/10.1016/j.eclinm.2021.100927.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Stolz E, Mayerl H, Freidl W, Roller-Wirnsberger R, Gill TM. Intrinsic capacity predicts negative health outcomes in older adults. J Gerontol A Biol Sci Med Sci 2022;77(1):101–105. doi: https://doi.org/10.1093/gerona/glab279.

    Article  PubMed  Google Scholar 

  17. Salinas-Rodríguez A, González-Bautista E, Rivera-Almaraz A, Manrique-Espinoza B. Longitudinal trajectories of intrinsic capacity and their association with quality of life and disability. Maturitas 2022;161:49–54. doi: https://doi.org/10.1016/j.maturitas.2022.02.005.

    Article  PubMed  Google Scholar 

  18. Chen JJ, Liu LF, Chang SM. Approaching person-centered long-term care: The trajectories of intrinsic capacity and functional decline in Taiwan. Geriatr Gerontol Int 2022;22(7):516–522. doi: https://doi.org/10.1111/ggi.14391.

    Article  PubMed  Google Scholar 

  19. Social Welfare Department, The Government of the Hong Kong Special Administrative Region. Community Care and Support Services for the Elderly. Accessed 3 October, 2022. https://www.swd.gov.hk/en/index/site_pubsvc/page_elderly/sub_csselderly/

  20. Census and Statistics Department, The Government of the Hong Kong Special Administrative Region. 2011 Population Censes Thematic Report: Older Persons. Hong Kong: Census and Statistics Department; 2013.

    Google Scholar 

  21. Lam LCW, Lui VWC, Tam CWC, Chiu HFK. Subjective memory complaints in Chinese subjects with mild cognitive impairment and early Alzheimer’s disease. Int J Geriatr Psychiatry 2005;20(9):876–882. doi: https://doi.org/10.1002/gps.1370.

    Article  PubMed  Google Scholar 

  22. Morley JE, Malmstrom TK, Miller DK. A simple frailty questionnaire (FRAIL) predicts outcomes in middle aged African Americans. J Nutr Health Aging 2012;16(7):601–608. doi: https://doi.org/10.1007/s12603-012-0084-2.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Malmstrom TK, Morley JE. SARC-F: A simple questionnaire to rapidly diagnose sarcopenia. J Am Med Dir Assoc 2013;14(8):531–532. doi: https://doi.org/10.1016/j.jamda.2013.05.018.

    Article  PubMed  Google Scholar 

  24. Steptoe A, Deaton A, Stone AA. Subjective wellbeing, health, and ageing. Lancet 2015;385(9968):640–648. doi: https://doi.org/10.1016/S0140-6736(13)61489-0.

    Article  PubMed  Google Scholar 

  25. Lawton MP, Brody EM. Assessment of older people: Self-maintaining and instrumental activities of daily living. Gerontologist 1969;9(3):179–186.

    Article  CAS  PubMed  Google Scholar 

  26. Pollack CE, Chideya S, Cubbin C, Williams B, Dekker M, Braveman P. Should health studies measure wealth?: A systematic review. Am J Prev Med 2007;33(3):250–264. doi: https://doi.org/10.1016/j.amepre.2007.04.033.

    Article  PubMed  Google Scholar 

  27. Coffee NT, Lockwood T, Hugo G, Paquet C, Howard NJ, Daniel M. Relative residential property value as a socio-economic status indicator for health research. Int J Health Geogr 2013;12(22):1–10. doi: https://doi.org/10.1186/1476-072X-12-22.

    Google Scholar 

  28. Park HL, O’Connell JE, Thomson RG. A systematic review of cognitive decline in the general elderly population. Int J Geriatr Psychiatry 2003;18(12):1121–1134. doi: https://doi.org/10.1002/gps.1023.

    Article  PubMed  Google Scholar 

  29. Ferrucci L, Cooper R, Shardell M, Simonsick EM, Schrack JA, Kuh D. Age-related change in mobility: Perspectives from life course epidemiology and geroscience. J Gerontol A Biol Sci Med Sci 2016;71(9):1184–1194. doi: https://doi.org/10.1093/gerona/glw043.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Fozard JL. Vision and hearing in aging. In: Birren JE, Warner Schaie K, (eds) Handbook of the psychology of aging, 3rd edn. Academic Press; 1990, pp 150–170.

  31. de la Fuente J, Caballero FF, Sánchez-Niubó A, Panagiotakos DB, Prina AM, Arndt H, Haro JM, Chatterji S, Ayuso-Mateos JL. Determinants of health trajectories in England and the United States: An approach to identify different patterns of healthy aging. J Gerontol A Biol Sci Med Sci 2018;73(11):1512–1518. doi: https://doi.org/10.1093/gerona/gly006.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Yu R, Tong C, Leung J, Woo J. Socioeconomic inequalities in frailty in Hong Kong, China: A 14-year longitudinal cohort study. Int J Environ Res Public Health 2020;17(4):1301. doi: https://doi.org/10.3390/ijerph17041301.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Ramsay SE, Whincup PH, Morris RW, Lennon LT, Wannamethee SG. Extent of social inequalities in disability in the elderly: Results from a population-based study of British men. Ann Epidemiol 2008;18(12):896–903. doi: https://doi.org/10.1016/j.annepidem.2008.09.006.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Link BG, Phelan J. Social conditions as fundamental causes of disease. J Health Soc Behav 1995:80–95. doi: https://doi.org/10.2307/2626958.

  35. Marmot M. Status syndrome: How your social standing directly affects your health. London, Bloomsbury Publishing; 2005.

    Google Scholar 

  36. Nguyen H, Moreno-Agostino D, Chua KC, Vitoratou S, Prina AM. Trajectories of healthy ageing among older adults with multimorbidity: A growth mixture model using harmonised data from eight ATHLOS cohorts. PLoS One 2021;16(4):e0248844. doi: https://doi.org/10.1371/journal.pone.0248844.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Yu R, Leung G, Cheng C, Kong S, Tam LY, Leung J, Woo J. Prevalence and distribution of intrinsic capacity and its associations with health outcomes in older people: The Jockey Club Community eHealth Care Project in Hong Kong. J Frailty Aging 2022. doi: https://doi.org/10.14283/jfa.2022.19.

  38. Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, Seeman T, Tracy R, Kop WJ, Burke G. Frailty in older adults: Evidence for a phenotype. J Gerontol A Biol Sci Med Sci 2001;56(3):M146–M157. doi: https://doi.org/10.1093/gerona/56.3.M146.

    Article  CAS  PubMed  Google Scholar 

  39. Arnold AM, Newman AB, Cushman M, Ding J, Kritchevsky S. Body weight dynamics and their association with physical function and mortality in older adults: The Cardiovascular Health Study. J Gerontol A Biol Sci Med Sci 2010;65(1):63–70. doi: https://doi.org/10.1093/gerona/glp050.

    Article  PubMed  Google Scholar 

  40. Hai S, Gao Q, Gwee X, Chua DQL, Yap KB, Ng TP. Malnutrition risk, physical function decline and disability in middle-aged and older adults followed up in the Singapore longitudinal ageing study. Clin Interv Aging 2021;16:1527–1539. doi: https://doi.org/10.2147/CIA.S322696.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Stolz E, Mayerl H, Freidl W. Fluctuations in frailty among older adults. Age Ageing 2019;48(4):547–552. doi: 10.1093/ageing/afz040.

    Article  PubMed  Google Scholar 

  42. Daskalopoulou C, Koukounari A, Wu YT, Terrera GM, Caballero FF, De La Fuente J, Tyrovolas S, Panagiotakos DB, Prince M, Prina M. Healthy ageing trajectories and lifestyle behaviour: The Mexican Health and Aging Study. Sci Rep 2019;9(1):1–10. doi: https://doi.org/10.1038/s41598-019-47238-w.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We would like to express our gratitude to The Hong Kong Jockey Club Charities Trust for funding the study under The Jockey Club Community eHealth Care Project. We would also like to thank our project partners, namely Stanley Ho Big Data Decision Analytics Research Centre of The Chinese University of Hong Kong (CUHK), The Jockey Club School of Public Health and Primary Care, CUHK, Senior Citizen Home Safety Association, and non-governmental organizations. In addition, we are grateful to the project participants for their contribution to the study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to R. Yu.

Ethics declarations

Ethical standards: The study was approved by the Survey and Behavioural Research Ethics Committee of The Chinese University of Hong Kong.

Conflicts of Interest: None declared.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yu, R., Lai, D., Leung, G. et al. Trajectories of Intrinsic Capacity: Determinants and Associations with Disability. J Nutr Health Aging 27, 174–181 (2023). https://doi.org/10.1007/s12603-023-1881-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12603-023-1881-5

Key words

Navigation