Tight Margins: Compression Garment Use during Exercise and Recovery—A Systematic Review

This is a systematic review—meaning the authors pooled and analysed results from 160 separate studies—looking at compression garments (CGs) worn either **during** exercise, **after** exercise (recovery), or both. The garments included compression socks, calf sleeves, tights, shorts, full-body suits, and arm sleeves. The comparators were typically the same exercise protocol performed without compression garments (wearing loose-fitting or placebo clothing, or no garment at all). Outcome measures fell into five categories:

**Physiological:** blood lactate, creatine kinase, lactate dehydrogenase, heart rate, core temperature, oxygen consumption

**Physical/performance:** time trial performance, countermovement jump height, sprint speed, isokinetic strength, endurance time to exhaustion

**Neuromuscular:** electromyography (muscle activation), rate of force development

**Biomechanical:** stride length, ground contact time, joint angles

**Perceptual:** ratings of perceived exertion (RPE), perceived muscle soreness (usually on a 0–10 or 1–100 scale), comfort ratings

The review did not test a single intervention—it synthesised across all available studies up to May 2022.

The review included **160 articles with a total of 2,530 participants**. Across the included studies, participants were predominantly:

Healthy, recreationally active to well-trained adults (aged 18–45)

Mixed-sex samples, though many studies were male-only or heavily male-skewed

Athletes from running, cycling, team sports (soccer, basketball, rugby), and resistance training

A small number of studies included elite athletes; most used moderately trained individuals

The review excluded studies on clinical populations (e.g., patients with venous disorders, post-surgical patients) and studies where compression was applied via non-garment methods (e.g., pneumatic compression boots).

Because this is a systematic review, there is no single measurement protocol. Instead, the authors extracted data from studies that used a wide range of instruments:

**Blood markers:** venous blood draws analysed for lactate (mmol/L), creatine kinase (U/L), lactate dehydrogenase (U/L), and various cytokines

**Performance:** cycling ergometers (e.g., Wattbike, Lode Excalibur) for time trials and time to exhaustion; force plates for countermovement jump height (cm); isokinetic dynamometers (e.g., Biodex) for peak torque (Nm)

**Perceptual:** visual analogue scales (0–10 or 0–100) for muscle soreness; Borg 6–20 RPE scale for exertion

**Physiological:** heart rate monitors, rectal or skin thermistors for core temperature, portable gas analysers for VO₂

The review authors assessed study quality using the PEDro scale (0–10, higher = better) and the Cochrane Risk of Bias tool.

**Design:** This is a **systematic review** following PRISMA-P guidelines. The authors searched three databases (PubMed, SPORTDiscus, Google Scholar) from earliest records until May 2022. Two reviewers independently screened titles/abstracts, then full texts, and extracted data. Disagreements were resolved by consensus or a third reviewer.

**Inclusion criteria:** Original peer-reviewed research (RCTs, crossover trials, quasi-experimental studies) published in English, examining compression garments during exercise, recovery, or both, in healthy human participants. No restriction on garment type or body region.

**Exclusion criteria:** Case studies, reviews, conference abstracts, studies on clinical populations, studies using non-garment compression.

**Quality assessment:** 160 studies were rated using the PEDro scale. The mean PEDro score was 5.2 out of 10 (range 3–8), indicating moderate methodological quality. Common weaknesses included lack of blinding (participants and assessors), lack of concealed allocation, and failure to report dropouts.

**Synthesis approach:** Because of heterogeneity in outcomes, garment types, exercise protocols, and populations, the authors did **not** perform a meta-analysis (pooled statistical analysis). Instead, they used a **narrative synthesis**—describing patterns across studies, counting how many found positive, null, or negative effects for each outcome.

**What this design can and cannot prove:**

**Can prove:** The overall direction and consistency of evidence across many studies. If 30 out of 40 studies show a benefit for recovery time trials, that is strong evidence that the effect is real, even if individual studies are small.

**Cannot prove:** Causal mechanisms. Because the review combines studies with different designs, populations, and garments, it cannot tell you exactly which garment, pressure level, or duration works best. It also cannot rule out publication bias (studies with null results may be less likely to be published).

**Cannot prove:** Effect sizes with precision. Without a meta-analysis, we cannot say "compression garments improve recovery time trials by exactly 2.3%." We can only say "most studies show a small positive effect."

**Major methodological weaknesses:**

No meta-analysis was performed, so effect sizes are qualitative rather than quantitative

High heterogeneity in garment types (socks vs. tights vs. full-body), pressures (15–40 mmHg), and exercise protocols

Many individual studies had small sample sizes (n = 8–20), low blinding quality, and short durations (single sessions)

Only English-language studies were included, potentially missing relevant non-English research

The search ended in May 2022; newer studies are not included

**During exercise (103 studies):**

**Endurance performance:** Limited effect. Of 28 studies measuring time trial performance or time to exhaustion, only 8 reported a significant improvement with CGs. The majority (20 studies) found no difference. Where improvements occurred, they were small (1–3% improvement in time trial time).

**Jump performance:** More consistent benefit. Of 18 studies measuring countermovement jump height during exercise, 12 reported significant improvements (average ~2–4 cm increase). This was most pronounced in team sport settings (e.g., during simulated games).

**Sprint speed:** Mixed. Of 14 studies, 6 found faster sprint times (0.5–2% improvement), 8 found no effect.

**Blood lactate:** Tended to be lower with CGs during exercise. Of 22 studies measuring blood lactate, 14 reported significantly lower values (average reduction of 0.5–1.5 mmol/L). However, this did not consistently translate to performance improvements.

**Muscle activation (EMG):** No consistent effect. Most studies found no difference in muscle activation patterns.

**Perceived exertion (RPE):** Inconsistent. About half of studies found lower RPE with CGs, half found no difference.

**Heart rate and core temperature:** No consistent effect. CGs did not meaningfully alter cardiovascular or thermal responses.

**During recovery (42 studies):**

**Subsequent endurance performance:** Positive benefit. Of 15 studies measuring cycling or running time trials performed 24–48 hours after fatiguing exercise, 12 reported significantly better performance after wearing CGs during recovery (average improvement ~2–5% compared to no compression).

**Subsequent resistance exercise performance:** Positive. Of 10 studies using isokinetic dynamometry or maximal voluntary contractions 24–72 hours post-exercise, 8 found better strength recovery with CGs (average ~5–10% less strength loss).

**Blood markers of muscle damage:** Lactate dehydrogenase (LDH) was consistently lower during recovery with CGs (8 of 11 studies). Creatine kinase (CK) showed mixed results—about half of studies found lower CK, half found no difference.

**Perceived muscle soreness:** Most consistent finding across all studies. Of 35 studies measuring muscle soreness (typically 24–72 hours post-exercise), 28 reported significantly lower soreness with CGs. Reductions were typically 1–2 points on a 0–10 scale (or 10–20% reduction).

**Swelling and circumference:** Limited evidence. A few studies found reduced limb circumference (less swelling) with CGs, but this was not consistently measured.

**Combined designs (15 studies):** Wearing CGs both during and after exercise showed similar patterns—small benefits during exercise, larger benefits for recovery—but no additive effect beyond wearing them only during recovery.

Translate the numbers into plain English:

**Recovery time trial performance:** If you normally complete a 20-minute cycling time trial, wearing compression tights for 24 hours after a hard workout might shave 30–60 seconds off your next time trial. That's roughly the difference between a good warm-up and a poor one.

**Muscle soreness:** On a scale where 0 is "no soreness" and 10 is "I can barely walk," compression garments typically reduce soreness by about 1–2 points. That's the difference between "noticeably sore" and "mildly uncomfortable." It's not a cure, but it's noticeable.

**Jump height:** During a basketball game or training session, compression tights might add 2–4 cm to your vertical jump. That's roughly the difference between grazing the rim and dunking a tennis ball—meaningful for athletes, trivial for casual exercisers.

**Blood lactate:** Compression garments lower blood lactate by about 0.5–1.5 mmol/L during exercise. For context, lactate typically rises from ~1 mmol/L at rest to 8–12 mmol/L during hard exercise. A 1 mmol/L reduction is small—equivalent to running at a slightly lower intensity.

**Creatine kinase (muscle damage marker):** The evidence is too mixed to give a clear number. Some studies show 20–30% lower CK with CGs; others show no effect. This inconsistency suggests the effect is real but highly individual.

**Bottom line:** The effects are real but modest. Compression garments are not a magic bullet. They are most useful for reducing soreness and speeding up recovery between training sessions, not for boosting performance during a single session.

**What the authors acknowledge:**

High heterogeneity in garment types, pressures, and exercise protocols made meta-analysis impossible

Many studies had small sample sizes (n < 20), reducing statistical power

Blinding was poor—participants usually knew they were wearing compression (no credible placebo)

Publication bias is possible: studies with null results may be under-represented

Most studies were short-term (single exercise bout or 24–72 hours recovery); long-term effects (weeks/months of regular use) are unknown

**What a critical reader would note:**

**Industry funding:** Several studies were funded by compression garment manufacturers. The review did not formally assess funding bias, but this is a concern.

**No standardised pressure:** Compression garments are defined by the pressure they apply (measured in mmHg), but many studies did not report actual garment pressure. "Compression" ranged from loose-fitting to medical-grade (30+ mmHg). This makes it impossible to know what dose works.

**Lack of mechanistic clarity:** It is unclear *why* CGs work. Proposed mechanisms include improved venous return, reduced muscle oscillation, enhanced proprioception, and placebo effects. The review cannot distinguish between these.

**Population limits:** Almost all studies were on healthy, young to middle-aged adults. Results may not generalise to older adults, sedentary individuals, or people with medical conditions.

**No long-term injury data:** The review did not examine whether CGs reduce injury risk over months or years of training. This is a major gap for athletes.

**Self-report bias:** Muscle soreness is subjective. Without blinding, participants who believe compression works may report less soreness even if there is no physiological effect.

For someone running their own n=1 experiment:

### What to test

**Intervention:** Knee-high compression socks or calf sleeves for recovery (these are the most studied and easiest to use). Alternatively, compression tights if you want to test during-exercise effects on jumping.

**Dose:** Wear the garment for 24 hours immediately after a hard workout (remove only for showering/sleeping if uncomfortable). For during-exercise testing, wear the garment throughout the entire session.

**Garment specification:** Look for graduated compression (tighter at the ankle, looser at the knee) in the 15–25 mmHg range. Avoid "compression" that is just tight spandex with no pressure rating.

### Minimum meaningful duration

**For recovery effects:** Test for at least 2 weeks (4–6 hard training sessions with recovery measurement). Single-session tests are too noisy.

**For during-exercise effects:** Test for at least 4–6 sessions (alternating garment vs. no garment) to account for day-to-day variability in performance.

### What to measure (specific metrics)

**Primary outcome:** Perceived muscle soreness 24 and 48 hours post-exercise (0–10 scale, where 0 = none, 10 = worst imaginable). Log it at the same time each day.

**Secondary outcome:** Performance in a standardised workout the next day. For example, a 20-minute cycling time trial or a set of 5 countermovement jumps (measure height in cm). Do the exact same test each time.

**Tertiary outcome:** Subjective recovery quality (1–5 scale: 1 = "felt completely wrecked," 5 = "felt ready to train hard again").

**Optional:** Heart rate variability (HRV) measured each morning using a chest strap and app (e.g., HRV4Training). Compression may improve autonomic recovery.

### Key confounds to control for

**Sleep quality:** Poor sleep ruins recovery. Log sleep duration and quality each night. If you sleep poorly on a compression night, the garment may appear less effective.

**Nutrition and hydration:** Keep protein intake and total calories consistent across test days. Dehydration increases soreness and impairs recovery.

**Training load:** Use the same workout before each recovery test. If you do a harder workout before a no-garment trial, the garment will look better than it is.

**Time of day:** Measure soreness and performance at the same time each day. Circadian rhythms affect both.

**Order effects:** Alternate garment vs. no-garment trials (e.g., Week 1: garment, Week 2: no garment, Week 3: garment). Do not do all garment trials first—you might improve simply from training.

**Placebo effect:** You cannot blind yourself to wearing a garment, but you can use a "sham" garment (e.g., loose-fitting tights that look like compression). If you don't have a sham, at least acknowledge that expectation may drive some of the benefit.

### What a positive result would look like

**Soreness:** Consistently lower soreness scores by at least 1 point on the 0–10 scale on compression days compared to no-compression days, across at least 4 of 6 comparisons.

**Performance:** Time trial time improves by at least 2% (e.g., 20:00 → 19:36) or jump height increases by at least 2 cm on compression days.

**Subjective recovery:** You rate your recovery as "4" or "5" on compression days and "2" or "3" on no-compression days, consistently.

**HRV:** Morning HRV is noticeably higher (e.g., 65 ms vs. 55 ms) after compression recovery nights.

If you see these patterns over 2–3 weeks of alternating trials, compression garments are likely worth the investment for your personal recovery. If you see no difference, save your money—the effect is small enough that non-responders are common.