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That's How I Rollerboard…

The Official Blog of Max Effgen

That's How I Rollerboard…

The Official Blog of Max Effgen

Validating the Micro-Edge

Max Effgen, August 4, 2026August 7, 2026

Revisiting KILOGEAR’s Efficiency Study in the Data-Driven Sports Tech Era

Disclosure: I am an investor in KILOGEAR.

Major sports leagues are pouring resources into performance analytics, recovery tools, and fan platforms through incubators like NBA Launchpad, NFL 32 Equity, and MLS Innovation Lab. At the same time, specialized brands are generating their own ground-level evidence. Revisiting KILOGEAR’s Efficiency Study (2016–2017) offers a focused, real-world example of how micro-weighted apparel can be rigorously tested against core physiology metrics—caloric burn, heart rate response, and EPOC (excess post-exercise oxygen consumption, or “afterburn”). Paired with standardized references like the Adult and Youth Compendia of Physical Activities, these efforts create a clearer picture of what “efficiency” actually looks like when resistance is added in wearable, targeted form rather than bulky vests or generic loads.

The KILOGEAR study was designed with three explicit objectives: quantify increases in caloric expenditure, peak heart rate, and post-exercise afterburn when participants performed standardized walking and running protocols with versus without the weighted garment system. The protocol used a single-group, within-subject design—each participant served as their own control—across multiple sites (Fitness Formula Club in Chicago, H2O Dunk in California, and Tapatio Springs in Texas). Healthy volunteers (age 17+, mixed sexes) completed seven phases on a treadmill at 1% incline: resting HR in standard attire, walking (3.5 mph) and running (5.5 mph) in standard attire, return to rest, then the same walking and running bouts while wearing KILOGEAR tops and bottoms loaded with micro-weights (typically 4–6 lbs total, distributed to arms and legs in gender-specific configurations), followed by final rest.

Heart rate was captured continuously via chest-strap monitor; energy expenditure and related metrics were assessed with a portable VO₂ system (Korr CardioCoach). Participants followed strict pre-test controls (no exercise 24 hours prior, fasted 4–5 hours, no caffeine). The design deliberately used modest, comfortable micro-loading rather than heavy vests, aligning with KILOGEAR’s philosophy of distributed, all-day or training-session resistance that targets movement patterns without altering gait or safety.

This approach sits in productive tension with the standardized tools that dominate exercise physiology. The 2024 Adult Compendium of Physical Activities assigns MET values to hundreds of tasks, including weighted variants (e.g., aerobic dance with 10–15 lb weights at 10.0 METs versus lower values for unweighted versions). The Youth Compendium (2017, with ongoing NCCOR refinements) adjusts for children’s and adolescents’ physiology using youth-specific METy values, recognizing that adult tables systematically misestimate energy costs in younger populations. KILOGEAR’s micro-weighted garments effectively create a “live” elevation of intensity within the same nominal activity (walking or running at fixed speed), which the compendia capture only in static, activity-code form. The study therefore functions as a practical bridge: it tests whether a wearable system can deliver measurable upward shifts in HR and caloric metrics that compendium tables predict for higher-effort or externally loaded conditions, but in a form factor designed for repeated, comfortable use.

League-backed programs are increasingly interested in exactly these kinds of quantifiable uplifts. NBA Launchpad cohorts have included insoles for movement analytics (Plantiga), 3D muscle imaging (Springbok), and recovery technologies—tools that thrive on precise input data about load, movement quality, and physiological response. The new G League CBA (2025–2029) explicitly contemplates required use of approved wearables for performance tracking and injury prevention in games and practices, a notable departure from main-league restrictions. MLS Innovation Lab cohorts have repeatedly tested GPS tracking, bio-analytics, and AI-driven load management. When a micro-weighted garment like KILOGEAR demonstrably elevates heart rate and caloric demand during otherwise identical locomotion, it becomes a controllable variable that these data platforms can log, analyze, and potentially prescribe—whether for general fitness users seeking afterburn benefits or developing athletes whose load management is already being monitored by league-affiliated systems.

The study’s modest scale and 2016–2017 timing are limitations; full numerical results on exact percentage increases in calories or EPOC reside in the detailed data tables and would benefit from larger, more recent replication with modern sensors and diverse populations. Yet the design itself is instructive. By holding speed and incline constant and isolating the addition of targeted micro-weight, it isolates the garment’s contribution more cleanly than many field studies of weighted vests, which often confound load with changes in gait or perceived effort. The multi-site execution and use of both resting and active phases also allow within-person comparison of acute response and recovery kinetics—precisely the EPOC window that matters for “afterburn” claims in weight-management and conditioning contexts.

Standard compendia reinforce why this matters. MET values are group-level estimates; individual economy of movement, body size, and fitness level introduce variance. A wearable system that reliably shifts a person from, say, a 7 MET walking effort to an 8–9 MET equivalent (via added resistance) without requiring them to run faster or change terrain offers a practical lever. For youth populations, where the Youth Compendium already adjusts METy downward relative to adults for many locomotion tasks, adding comfortable micro-loading could help close the gap between desired training stimulus and what a child or adolescent can sustainably perform. For adults—especially the 45 million Americans dieting annually cited in the study background—distributed resistance that elevates caloric demand and afterburn during daily movement or structured sessions aligns with public-health goals around metabolic health.

League incubators and brand-led studies like this one are complementary. Programs such as NBA Launchpad or MLS Innovation Lab excel at rapid piloting of sensor platforms, AI analytics, and immersive fan tools; they provide distribution, data access, and credibility. Direct manufacturer studies like KILOGEAR’s supply the mechanistic grounding—does the hardware actually move the physiological needle in controlled conditions? When both exist, the ecosystem strengthens: a startup’s wearable can be validated against compendium baselines, piloted in league environments, and ultimately integrated into athlete monitoring or consumer apps that translate raw HR and calorie data into actionable insights.

Challenges remain. Small-n studies invite scrutiny on generalizability; integration of garment-derived data with league platforms raises privacy and standardization questions (issues the G League CBA explicitly flags). Not every pilot graduates to widespread adoption, and the translation from acute HR/calorie spikes to long-term body-composition or performance outcomes requires longitudinal work. Still, the direction is constructive. Micro-weighted, garment-based resistance offers a middle path between traditional strength training (often gym-bound, high perceived barrier) and passive daily movement. When quantified against the same MET and VO₂ frameworks that underpin compendia and league analytics, it becomes legible to coaches, performance staff, and data platforms alike.

Looking ahead, the convergence is promising. As AI-driven load management and recovery tools proliferate through league channels, a validated, comfortable system for elevating training density during locomotion or sport-specific movement has clear utility. Updated studies with larger cohorts, modern metabolic carts or wearables, and direct comparison to compendium-predicted values would further strengthen the case. For athletes and fitness enthusiasts, the practical takeaway is encouraging: targeted micro-loading, when engineered for real movement and tested against established physiology, can measurably shift the energy-cost curve—without requiring athletes to fundamentally change how they train or move.

The leagues are building the data infrastructure. Brands that pair thoughtful hardware with transparent efficiency testing are supplying the interventions worth feeding into that infrastructure. In that intersection lies meaningful progress for performance, recovery, and sustainable training load.

Endnotes

1. KILOGEAR Efficiency Study protocol document (objectives, design, locations, investigators).

2. NCCOR Youth Compendium of Physical Activities factsheet and related publications (Butte et al., 2017; Pfeiffer et al., 2017).

3. 2024 Adult Compendium of Physical Activities (MET values for weighted and unweighted conditioning/dancing activities).

4. Sports Business Journal and NBA Communications on Launchpad cohorts and G League CBA wearable provisions (2025–2026).

5. MLS Innovation Lab cohort announcements (2024–2026) referencing overlapping technologies (e.g., Springbok, Orreco). 6. Study design details: single-group, within-subject treadmill protocol at fixed speeds with/without micro-weighted garments; VO₂ and chest-strap HR measurement.

All sources current as of mid-2026.


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Max Effgen

Max Effgen

I build and grow technology companies as an entrepreneur and angel investor, backing early-stage startups in AI, health & wellness, ultra-low power radio, and enterprise software. I test performance gear the same way I evaluate companies: what actually works in the real world.

Measure what matters. Your body keeps score.

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