I'm over 60 — if I stop training for a few months, is the work wasted?
No, but it is not banked either: older adults who had trained still did better than never-trained peers after 4-36 weeks off (ES 0.88), less so the older they were (β −0.06 per year), and the comparison does not show how much of the gain was lost. The 15 trials were in general older adults aged 64-92, not athletes; the bigger the gain made, the more remained.
Buendía-Romero et al. pooled randomised trials in adults aged 60 and over that trained for a period, then stopped, and compared the change from before training to the end of the stop against a control group that never trained.
Fifteen RCTs (787 participants, 553 women; mean ages 64-92) gave 21 intervention arms: training lasted 8-43 weeks (mean 16), usually 2 sessions a week, and the stop lasted 4-36 weeks (mean 11; one trial followed up after 240 weeks).
Trained groups kept a large advantage in functional capacity after the stop (ES 0.88, 95% CI 0.47 to 1.29, I² 81%), significant for agility, walking ability, standing ability and stair walking but not significant for gait speed (ES 0.38, p = 0.056) or balance (ES 0.48, p = 0.051). Resistance and multicomponent training, high and low intensity all left a significant advantage.
In meta-regression the size of the gain made during training predicted the advantage left (β 0.66 per unit of training ES), older age reduced it (β −0.06 per year), and neither the length of the stop nor modality, intensity or training duration mattered.
The comparison is against people who never trained, so the review shows that a training advantage survives the break, not how much of the gain was lost.
Included studies
Key Results
| Outcome (Table 2 and Table 3) | k | n | ES or β | 95% CI | p | I² |
|---|---|---|---|---|---|---|
| Overall functional capacity (results text) | — | — | 0.88 | 0.47 to 1.29 | < 0.01 | 81% |
| Multicomponent training | 11 | 455 | 0.89 | 0.33 to 1.46 | < 0.001 | 83.6% |
| Resistance training | 9 | 233 | 0.84 | 0.02 to 1.66 | 0.045 | 81.7% |
| High intensity | 7 | 325 | 0.67 | 0.10 to 1.23 | 0.027 | 73.4% |
| Low intensity | 12 | 329 | 1.06 | 0.37 to 1.75 | 0.006 | 84.0% |
| Agility | 11 | 328 | 0.61 | 0.13 to 1.09 | 0.018 | 68.8% |
| Balance | 8 | 237 | 0.48 | −0.01 to 0.97 | 0.051 | 55.0% |
| Gait speed | 8 | 350 | 0.38 | −0.01 to 0.77 | 0.056 | 43.0% |
| Stair walking | 6 | 181 | 1.26 | 0.09 to 2.42 | 0.039 | 85.0% |
| Walking ability | 5 | 120 | 0.88 | 0.01 to 1.75 | 0.049 | 0.0% |
| Standing ability | 16 | 562 | 1.35 | 0.77 to 1.94 | < 0.001 | 84.8% |
| Meta-regression: age (per year) | — | — | β −0.06 | −0.10 to −0.02 | 0.006 | — |
| Meta-regression: training effect (per unit ES) | — | — | β 0.66 | 0.32 to 1.01 | 0.003 | — |
| Meta-regression: detraining duration (per week) | — | — | β −0.01 | −0.03 to 0.02 | 0.381 | — |
| Meta-regression: training duration (per week) | — | — | β −0.02 | −0.09 to 0.05 | 0.408 | — |
| Meta-regression: intensity (low vs high) | — | — | β 0.29 | −0.53 to 1.10 | 0.461 | — |
Mechanisms
Practical Application
Limitations
How this entry was checked and changed
PROSPERO-registered, RoB 2 and GRADE applied, robust-variance random-effects model; but heterogeneity is high (I² 81% overall), GRADE certainty very low to moderate, 11 of 15 trials have "some concerns", the funnel is asymmetric (Egger p = 0.004), and the trials are small (control arms of 7-83); read from the full text