The aim of this study was to determine the validity of three smartphone applications measuring barbell movement velocity in resistance training and comparing them to a commercially available linear transducer. Twenty competitive powerlifters (14 male and 6 female) completed a progressive loading protocol in the squat, bench press and deadlift (sumo or conventional) until reaching 90% of the highest load they had achieved in a recent competition. Mean velocity was concurrently recorded with three smartphone applications: Qwik VBT (QW), Metric VBT (MT), MyLift (ML), and one linear transducer: RepOne (RO). 3D motion capturing (Vicon) was used to calculate specific gold standard trajectory references for the different systems. A total of 589 repetitions were recorded with a mean velocity of (mean ± standard deviation [min-max]) 0.44 ± 0.17 [0.11–1.04] m·s^-1, of which MT and ML failed to identify 52 and 175 repetitions, respectively. When compared to Vicon, RO and QW consistently delivered valid measurements (standardized mean bias [SMB] = 0 to 0.21, root mean squared error [RMSE] = 0.01 to 0.04m·s^-1). MT and ML failed to deliver a level of validity comparable to RO (SMB = -0.28 to 0.14, RMSE = 0.04–0.14m·s^-1), except for MT in the bench press (SMB = 0.07, RMSE = 0.04m·s^-1). In conclusion, smartphone applications can be as valid as a linear transducer when assessing mean concentric barbell velocity. Out of the smartphone applications included in this investigation, QW delivered the best results.

Short Term Body Mass Manipulation (SBM) is frequently used in powerlifting by athletes to qualify for lower weight classes and improve relative competitiveness. The three primary physiological pathways that SBM leverages are gastrointestinal content reduction, glycogen storage and body water manipulation, in addition to post-weigh-in refueling. Despite its high prevalence among athletes competing in the International Powerlifting Federation (IPF), the scientific literature on SBM remains limited, and sport-specific guidelines are currently lacking. This narrative review summarizes the current evidence on SBM in powerlifting, with a focus on physiological mechanisms, practical implementation, and associated risks. The specific demands of IPF competition, consisting of maximal strength performance after only a two-hour window between weigh-in and competition, necessitate uniquely tailored SBM strategies. SBM should not be regarded as a standard preparation method. Instead, it should be seen as a targeted intervention to be applied with caution and strategic intent. The decision to implement SBM must be based on individual assessment, physiological plausibility, and a well-considered cost-benefit rationale. Ensuring effective rehydration and refueling between weigh-in and competition is critical to support both safety and performance. This review provides sport specific, evidence-based recommendations to assist practitioners in applying SBM responsibly within the context of powerlifting.

Background: Previous powerlifting research has largely examined correlates of performance in single competitions or over short observation periods, leaving long-term patterns of athletic development among sustained competitors insufficiently described. The present investigation addresses this gap by examining performance progression, observed peak performance timing, and correlates of peak career success in classic powerlifting. Methods: This retrospective observational study analyzed IPF-affiliated classic powerlifters with at least 10 completed competitions. Population-level age-performance patterns were described using LOESS smoothing with a lifter-level cluster bootstrap. Between-group differences in annual performance progression were examined using multivariable ordinary least squares models with lifter-clustered standard errors. Associations with observed peak timing were examined using multivariable ordinary least squares models, complemented by discrete-time event-history robustness analyses, and correlates of peak career performance were examined using multivariable ordinary least squares models. Results: Within this selected cohort, annual gains generally declined with increasing years in sport. Peak performance occurred at approximately 27 years of age and observed individual peak performance was typically reached after 4–6 years of competition participation, around the 10th competition. Higher competition frequency was associated with earlier observed peak timing when indexed by year in sport, but with later observed peak timing when indexed by competition number and was not associated with greater peak performance. Age and IPF GL Points at the first competition were the strongest multivariable correlates of observed peak career performance, whereas attempt success rate, sex, and weight-class change patterns showed statistically significant but comparatively small effects. Conclusions: Early competitive performance and age at entry were strong multivariable correlates of observed peak career performance, while higher competition frequency appeared to relate primarily to the pacing and competitive exposure of development rather than to peak magnitude. These findings may inform early benchmarking and individualized long-term competition planning.

Classic and equipped powerlifting are the two main competition formats within the International Powerlifting Federation (IPF), but their comparative long-term development has not been described systematically. This study examined participation and performance trends in both formats using two complementary datasets: an IPF-restricted extract of OpenPowerlifting for federation-level analyses and IPF world championship result files for championship-level analyses. The federation-level dataset included 702,731 eligible entries from 242,572 lifters between 2010 and 2025. Participation growth was driven almost entirely by classic lifting, which increased from 11.6% of all entries in 2010 to 93.5% in 2025, whereas equipped participation declined substantially. By 2025, yearly mean IPF Goodlift points were higher in classic than equipped lifting (74.9 vs 68.1), and classic exceeded equipped lifting on yearly top-end values from 2023 onward. Comparable patterns were observed at world championship level, particularly in the Junior and Sub-Junior divisions. These findings indicate that classic lifting has become the dominant competitive format within the contemporary IPF, whereas equipped lifting persists at a substantially smaller competitive scale.

Background: Whether elite International Powerlifting Federation (IPF) classic powerlifters are becoming younger and whether this reflects earlier recorded competition or a younger active population is unclear. This study examined temporal patterns in age, performance and recorded intervals to elite performance. Methods: Population and top-100 analyses covered 2013 to 2025 and Open World Championship podium analyses covered 2013 to 2026. Earlier OpenIPF records informed competition histories. Population-wide age-performance relationships were estimated using locally weighted scatterplot smoothing and profile-cluster bootstrapping. Trends in annual medians were evaluated using Theil-Sen slopes and Kendall tests. Intervals from first recorded eligible competition to first observed elite performance were calculated among profiles with eligible histories. Results: The performance cohort comprised 431,476 entries from 161,073 profiles. The population-wide curve peaked at 26.0 years (95% confidence interval [CI]: 25.4–26.5). Active-profile median age ranged from 23.5 to 25.0 years and showed no clear trend (0.00 years/year; 95% CI: −0.10 to 0.00; Kendall p = 0.173). Population median age at first recorded eligible Raw three-lift competition declined slightly (− 0.097 years/year; 95% CI: −0.200 to 0.000; Kendall p = 0.0085). Among 1,303 yearly top-100 profile-years and 602 podium observations, median age slopes were − 0.20 years/year (95% CI: −0.29 to − 0.10; Kendall p = 0.002) and − 0.37 years/year (95% CI: −0.50 to − 0.19; Kendall p = 0.001), respectively. Median IPF Goodlift Points increased by 1.21 (95% CI: 1.08–1.43; Kendall p < 0.001) and 1.52 points/year (95% CI: 1.33–1.79; Kendall p < 0.001), respectively. Median age at first recorded eligible Raw or Single ply three-lift competition showed no clear trend among top-100 profiles (0.00 years/year; 95% CI: −0.05 to 0.00; Kendall p = 0.289) or podium profiles (− 0.05 years/year; 95% CI: −0.22 to 0.00; Kendall p = 0.121). Raw-only elite histories showed negative first-competition-age trends. Median recorded intervals were 3.58 years for top-100 profiles and 4.72 years for podium profiles, with no clear temporal shortening. Conclusions: Median age in elite samples declined while performance increased, whereas active-profile median age showed no clear decline. These descriptive findings provide updated age and performance benchmarks without establishing individual peak ages or faster progression to elite performance.

Weight class management in powerlifting is often guided by the heuristic that athletes should progressively move up in weight classes throughout their careers to accommodate hypertrophy, yet longitudinal competition data indicate that weight class change patterns are not meaningfully associated with peak career relative strength. This review integrates mechanistic and sport-specific evidence to translate this apparent mismatch into applied recommendations. Across observational studies, fat-free mass is consistently positively associated with squat, bench press, deadlift, and total performance, supporting contractile tissue as a key long-term contributor to strength once technical skill is established. However, accumulating functionally relevant mass does not require frequent or permanent weight class changes, because athletes can improve functional-to-nonfunctional mass via recomposition. Accordingly, weight class selection is framed as a conditional, athlete-specific planning decision, with weight class changes indicated primarily when the current weight class constrains sustainable lean mass accretion, training quality, recovery, health, or psychological sustainability. Practical guidance emphasizes conservative body mass changes, modest nutritional surpluses to support muscle mass gain, high protein intake, and slow fat-mass loss when moving down while maintaining heavy, skill-specific training exposures. Predefined stop rules, defined as criteria for slowing, pausing, or abandoning a weight class strategy, are recommended to reduce psychological load and avoid escalation of low energy availability and disordered eating risk, with referral to qualified support when indicated.