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Heterogeneity of Frailty Trajectories and Associated Factors in the Lothian Birth Cohort 1936
Author(s) -
Miles Welstead,
Michelle Luciano,
Tom C. Russ,
Graciela MuñizTerrera
Publication year - 2021
Publication title -
gerontology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.397
H-Index - 94
eISSN - 1423-0003
pISSN - 0304-324X
DOI - 10.1159/000519240
Subject(s) - latent class model , cohort , psychological intervention , demography , gerontology , cognition , frailty index , cohort study , psychology , medicine , statistics , sociology , mathematics , psychiatry , neuroscience
Recent research suggests that the experience of frailty progression may be heterogeneous, with latent subpopulations of older adults following distinct trajectories of frailty. We aimed to investigate this notion and determine whether certain factors are associated with the membership of these subpopulations. Methods: Data from 5 data waves collected over 12 years in participants of the Lothian Birth Cohort 1936, aged 70 at baseline, were used to derive the frailty index (FI) (NW1 = 1,091, NW5 = 431). These were used in latent class mixed modelling to estimate subpopulations of frailty trajectories. Results: A quadratic latent class mixed model found 3 distinct groupings, which followed a low (61%, n = 632), medium (36%, n = 368), or high (3%, n = 28) FI trajectory. Each grouping had different intercepts and slopes, with the high grouping following the steepest trajectory indicating a rapid increase in frailty. Findings showed that in general, those in the low grouping were younger, had higher education, higher age 11 cognitive ability, and were from a higher social class than those in the medium and high groupings. Discussion/Conclusion: Our findings demonstrate heterogeneity in frailty trajectories over 12 years in individuals aged 70 years at baseline. Membership of higher frailty trajectory groupings was associated with lower social class, less education, and lower childhood cognitive ability, indicating the potential for future interventions to target individuals who are at the greatest risk of belonging to the high frailty trajectory. Future research is required to continue this line of inquiry by exploring other risk and protective factors, and importantly, to assess whether it is possible to realign an individual’s membership to a less detrimental grouping of frailty trajectory.

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