ArticleSensors (Basel, Switzerland)2026
An Equivalence Testing Approach to the Calculation of Time to Stabilization Following Drop Landing on Force Plates in Athletic Populations.
Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Current time to stabilization (TTS) calculation methods use a signal-to-threshold approach, whereby post-landing ground reaction forces (GRFs) are compared against fixed thresholds derived from a stable period. This approach does not formally test statistical equivalence and may be sensitive to arbitrary processing and threshold selection. This study proposes a new equivalence-based method, utilizing two one-sided tests of equivalence (TOST) to calculate TTS following a drop landing in athletic populations. Twenty-six elite freestyle ski athletes (males = 14, females = 12; age = 22.36 ± 2.14 years) performed five trials of a 50 cm drop landing on force plates. TOST was defined as the first time point at which a 50 ms rolling window, advanced one sample at a time, achieved and maintained statistical equivalence to a pre-defined equivalence region. The TOST method was tuned by systematically assessing the effect of the equivalence width (k) and persistence (dwell) on pre-defined criteria emphasizing differences in TTS due to parameter changes, reliability (intraclass correlation coefficient; ICC(2,5)), and measurement error (SEM). The final parameters were selected as the lowest k and highest dwell values resulting in 'good' reliability (ICC ≥ 0.75) within the behaviourally stable region, or the highest observed ICC where this threshold was not met. TOST was then compared to previous TTS calculation methods (no-processing (RAW), sequential average (SA) and third-order polynomial (TOP)) using Bland-Altman and by comparing the ICC and SEM. For the vertical GRF, equivalence scaling factors (k) ≥ 11 yielded behaviourally stable TTS estimates with consistently 'good' reliability (ICC(2,5) = 0.78 [95% CI: 0.61,0.89]) and low SEM (0.035-0.038 s), regardless of the dwell value. Anterior-posterior and medio-lateral GRFs showed low marginal changes in response to parameters at k ≥ 10 and 13, respectively, but the reliability was poor to moderate and, in the ML axis, fell below zero under some parameter settings, reflecting the limited horizontal demand of the task. Recommendations for TOST are therefore made for the vertical axis only. Comparisons between methods revealed high agreement between TOST and RAW in the vertical axis, while TOST demonstrated higher reliability. SA produced TTS values on a markedly different scale consistent with trial length dependence, while TOP systematically overestimated TTS with significant proportional bias, indicating that neither could be used interchangeably with TOST. This framework provides a statistically principled alternative to fixed threshold-based TTS definitions and, unlike trial length-dependent methods such as SA and TOP, requires only a trial long enough to capture a stable reference period, permitting shorter trials better suited to frequent testing with large groups of athletes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.