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Randomized Controlled Trial
. 2025 Aug;73(8):2457-2465.
doi: 10.1111/jgs.19552. Epub 2025 May 30.

Short- and Long-Term Effect of Multidomain Lifestyle Intervention on Frailty: Post Hoc Analysis of an RCT

Affiliations
Randomized Controlled Trial

Short- and Long-Term Effect of Multidomain Lifestyle Intervention on Frailty: Post Hoc Analysis of an RCT

Johanna Pöyhönen et al. J Am Geriatr Soc. 2025 Aug.

Abstract

Background: The prevalence of frailty is increasing as the population ages. Lifestyle interventions have shown potential in frailty prevention. Intervention studies have been generally limited by short interventions and follow-ups or by focusing on single-domain approaches. We aimed to investigate whether a 2-year multidomain lifestyle intervention prevents phenotypic pre-frailty or frailty and whether baseline factors predict phenotypic pre-frailty or frailty.

Methods: A total of 1259 participants (aged 60-77 years) in the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) were randomized to a multidomain intervention group or to a regular health advice group for 2 years. Frailty was defined by modified Fried phenotype. Pre-frail and frail participants were grouped for analyses. The prevalence of pre-frailty/frailty at baseline and at 2, 7, and 11 years, the change in prevalence from baseline, and the difference in these changes between intervention and control groups were estimated using a mixed-effects logistic regression model.

Results: The intervention reduced the risk of pre-frailty/frailty up to 7 years. The prevalence decreased in the intervention group from baseline (47%) to 2 years (42%), while it increased in the control group (45% to 49%), resulting in a -9.6-percentage point difference in the change (p = 0.007). After the active intervention period, the prevalence began to increase in both groups, but the difference in the change remained in favor of the intervention group at 7 years (-6.2 percentage points, p = 0.049). The beneficial effect was no longer evident at 11 years. Older age, lower protein intake, and a higher number of chronic diseases were strongly associated with pre-frailty/frailty.

Conclusions: A 2-year multimodal lifestyle intervention effectively prevented phenotypic pre-frailty/frailty, with sustained benefits observed up to 7 years. Continuous support for a healthy lifestyle may be necessary to prevent late-life pre-frailty or frailty.

Keywords: frailty; multidomain lifestyle intervention; pre‐frailty; protein intake.

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Conflict of interest statement

Financial sponsors played no role in study design, methods, subject recruitment, collection, analysis, and interpretation of data, or preparation of the paper.

The authors declare no conflicts of interest.

Figures

FIGURE 1
FIGURE 1
A Sankey diagram illustrating the flow of participants from baseline frailty status to each follow‐up assessment. Missing frailty status data after baseline are also shown. The diagram shows a decrease in the robust group and an increase in the pre‐frail/frail group. The missing data group was the largest at the final follow‐up. Data represent numbers of participants observed in each group.
FIGURE 2
FIGURE 2
A graph of estimated mean prevalences (range of proportions 0.00–1.00) of pre‐frail/frail participants in randomization groups. The estimates are from the best‐fitting adjusted mixed‐effects logistic regression model, where time was non‐linear, split into two linear periods of 0–2 years and 2–11 years, including an interaction between randomization group (intervention vs. control) and time. P‐values indicate the difference in the prevalence change between the intervention and control groups from baseline to each follow‐up. Error bars depict 95% confidence intervals.

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References

    1. Kim D. H. and Rockwood K., “Frailty in Older Adults. Hardin CC, Ed,” New England Journal of Medicine 391, no. 6 (2024): 538–548, 10.1056/NEJMra2301292. - DOI - PMC - PubMed
    1. Collard R. M., Boter H., Schoevers R. A., and Oude Voshaar R. C., “Prevalence of Frailty in Community‐Dwelling Older Persons: A Systematic Review,” Journal of the American Geriatrics Society 60, no. 8 (2012): 1487–1492, 10.1111/j.1532-5415.2012.04054.x. - DOI - PubMed
    1. O'Caoimh R., Sezgin D., O'Donovan M. R., et al., “Prevalence of Frailty in 62 Countries Across the World: A Systematic Review and Meta‐Analysis of Population‐Level Studies,” Age and Ageing 50, no. 1 (2021): 96–104, 10.1093/ageing/afaa219. - DOI - PubMed
    1. Fried L. P., Tangen C. M., Walston J., et al., “Frailty in Older Adults: Evidence for a Phenotype,” Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 56, no. 3 (2001): M146–M157, 10.1093/gerona/56.3.M146. - DOI - PubMed
    1. Rockwood K., Mitnitski A. B., and MacKnight C., “Some Mathematical Models of Frailty and Their Clinical Implications,” Reviews in Clinical Gerontology 12, no. 2 (2002): 109–117, 10.1017/S0959259802012236. - DOI

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