| Literature DB >> 33237916 |
Lucie Lerebourg1,2, Maxime L'Hermette1, Charlotte Menez1,2, Jeremy Coquart1.
Abstract
This systematic review evaluated the literature pertaining to the effect of shoes on lower limb venous status in asymptomatic populations during gait or exercise. The review was conducted in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The PubMed-NCBI, EBSCO Host, Cochrane Library and Science Direct databases were searched (March 2019) for words around two concepts: shoes and venous parameters. The inclusion criteria were as follows: (1) the manuscript had to be published in an English-language peer-reviewed journal and the study had to be observational or experimental and (2) the study had to suggest the analysis of many types of shoes or orthotics on venous parameters before, during and/or after exercise. Out of 366 articles, 60 duplications were identified, 306 articles were analyzed, and 13 articles met the eligibility criteria after screening and were included. This review including approximately 211 participants. The methodological rigor of these studies was evaluated with the modified Downs and Black quality index. Nine studies investigated the effect of shoes on blood flow parameters, two on venous pressure and two on lower limb circumferences with exercise. Evidence was found that unstable shoes or shoes with similar technology, sandals, athletic or soft shoes, and customized foot orthotics elicited more improvement in venous variables than high-heeled shoes, firm shoes, ankle joint immobilization and barefoot condition. These venous changes are probably related to the efficiency of muscle pumps in the lower limbs, which in turn seem to be dependent on shoe features associated with changes in the kinetics, kinematics and muscle activity variables in lower limbs during gait and exercise.Entities:
Mesh:
Year: 2020 PMID: 33237916 PMCID: PMC7688113 DOI: 10.1371/journal.pone.0239787
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Search strategy.
| Databases | Concept 1 | Concept 2 |
|---|---|---|
| PubMed-NCBI, EBSCO Host and Cochrane Library | ( | ( |
| Science Direct | ( | ( |
Legend. Highlighted words: MeSH (Medical Subject Headings) terms; words in bold: terms/synonymous associated to MeSH terms for “shoe” and “foot orthoses”; words in italics: keywords identified by authors and frequently used in the literature.
Fig 1Flow diagram of study selection.
Figure presents the flow of information through the different phases (identification, screening, eligibility and inclusion) of a systematic review.
Characteristics and primary outcomes of studies.
| Author (year) | Participant characteristics | Study design | Intervention/Shoe conditions | Type of Exercise/Gait type | Duration of adaptation | Venous variables analyzed/ Outcome measure(s) | Significant results/Main findings |
|---|---|---|---|---|---|---|---|
| Knight and Lewis (1977) [ | 9W and 3M | Randomized sequences | Barefoot/ Normal shoes/ Sandals | Treadmill walk | 14 days | Venous pressures (mmHg) by pressure transducers | Initial: No significant difference in the exercise venous pressure in non-wearers and a significantly lower venous pressure in accustomed wearers when walking with sandals (pressure similar to that of barefoot walking). |
| Hansen et al. (1998) [ | 8 W | A balanced block design | Clogs (without heel support as the hard shoe)/Sport shoes (soft shoes) | Simulated work (standing and standing/walking) | 2 hours/work | Blood flow by hydro- plethysmography (FV and VV) | Standing work: Significant reduction in edema formation in soft shoes condition (from 3.2% to 2.8% on average). |
| Yamamoto et al. (2000) [ | 6 M | Randomized | Regular shoes (regular athletic shoes)/ Heelless shoes | Treadmill walk (at a speed of 60, 80, 100 and 129 m.min-1) | 10 min/test | Blood flow (CBF) by venous occlusion plethysmography | Blood flow: A significantly higher CBF at the speed of 80 m.min-1 for heelless shoes than regular shoes. No significant difference in CBF in regular shoes or heelless shoes at walking speeds of 60, 100 and 120 m.min-1. |
| Potério-Filho et al. (2006) [ | 10 W | N/A | Barefoot/ High-heeled shoes (stiletto) | Tip-toe movements | 1 or 10 extension/flexions | Venous pressures (mmHg) by APG (variations of the pressure, hydrostatic leg vein pressures) | No statistical difference between the variation in the cuff pressure values when persons performed 1 or 10 tip-toe foot movements. Statistical differences for the variation of the cuff pressure during static movements (41.05 mmHg), walking barefoot (26.65 mmHg) and walking with high-heeled shoes (52.2 mmHg). Significantly higher variations in the cuff pressure readings were obtained at the leg when compared with walking barefooted (during walking with high-heeled shoes). |
| Irzmańska et al. (2011) [ | 10 M (firemen) | N/A | Protective footwear | Treadmill walk | Several minutes | Blood flow by APG (IR, CT) | Statistically significant changes for the APG parameters and temperature-humidity. Correlation between the level of humidity and temperature and blood flow parameters in the legs (IR, CT) during exercise. |
| Tedeschi Filho et al. (2012) [ | 30 W | N/A | Barefoot/ Medium heels (3.5cm)/ Stiletto high heels (7cm)/Platform high heels (7cm) | Tip-toe movements | 10 orthostatic flexion and extension/test | Blood flow by APG (EF, RVF, VFI) | EF: Higher values for the barefoot group compared with the other 3 groups. A significant decrease in both of the 7-cm high-heeled groups compared with the barefoot. |
| Sousa et al. (2012) [ | 30 W | Randomized trials | Barefoot/USW/CSW | Upright standing | 8 weeks (Experimental group only: wear USW 8h/day for 8weeks) | Blood flow by duplex ultrasonography (CFV, PV) | No significant difference in the mean flow rate at CVF and PV between the experimental and control groups for both the first and second evaluations. |
| Lin et al. (2012) [ | 10 M | Randomized | Barefoot/ Sport shoes | Upright standing | 4 hours (1 hour/experimental session) | Circumferences (thigh and shank) by Gulick Tape | No significant difference in thigh and shank circumferences between the 2 shoe conditions, but the difference in shank circumference was highest when a subject stood for a prolonged period on the hard floor while wearing sport shoes. |
| Irzmańska et al. (2014) [ | 30 M (firefighters), | N/A | All-rubber firefighter footwear (with protective elements) | Treadmill walk | 1 hour 45 minutes | Blood flow by APG (IR, SR, CW, CT, ABF) | Statistically significant parameters of blood flow in the lower limbs were the IR SR, CW and ABF during the 3 phases (warm-up, exercise and rest) with a rise in values of the IR, SR, CW and ABF during exercise as compared to the initial rest phase and a decrease in the relaxation phase. |
| Craik et al. (2015) [ | 6 M and 4 W | N/A | Without ankle joint immobilization/ ankle immobilized in a neutral cast/ankle immobilized in a pneumatic walking boot (in both neutral and equinus immobilization) | Simulation of the gait cycle | 30 repetitions/minute | Blood flow (VBF velocity) by duplex ultrasonography (Time averaged peak velocity, time averaged mean velocity, total volume flow) | No significant reduction in VBF measurements between full weight-bearing without ankle joint immobilization and full weight-bearing in a neutral cast or neutral pneumatic walking boot. |
| Wezenbeek et al. (2017) [ | 25 (experienced runners), 15 M and 10 W, Age (SD): 34.5 (± 10.2) years | Non-randomized order (running activity) | Barefoot/ Shod (Pearl Izumi shoes, offset of 7 mm) | Run | 30 min (10 min/phase: rest, barefoot run, shod run) | Blood flow by oxygen-to-see device | A significant increase in blood flow after barefoot and shod running compared to initial tendon blood flow (42.6% after barefoot running and 61.7% after shod running). |
| Karimi et al. (2017) [ | 10 M | Randomized | Barefoot/Flat-bottomed shoe (stable)/USW | Upright standing | 2 hours/shoe condition (session). One-week interval between each test session | Circumferences (lower legs) by Gulick tape | An increase in the mean scores of lower leg volume, from pretest to posttest following 2 hr of standing for both legs, under all 3 footwear conditions. |
| López-López et al. (2018) [ | 10M and 10 W | Non-randomized | CFO/ Without CFO | Standing in a relaxed posture | 20 days | Blood flow by APG (VFT and EF. | A significant difference between VFT and the EF with CFO utilization versus without use of CFO. |
Subjects: number of subjects per sex (W, women; M, men), characteristics; mean age.
Shoe characteristics: CFO, customized foot orthoses; CSW, conventional shoe wearing; USW, unstable shoe wearing.
APG, Plethysmographic.
Venous parameters (ABF, alternative blood flow; CBF, calf blood flow; CFV, venous velocity of the common femoral; CT, crest time; CW, crest width; EF, ejection fraction; Hct, hematocrit; IR, impedance ratio; MCH, mean cellular hemoglobin; MCV, mean cellular volume; FV, foot volume; PV, popliteal veins; RBC, red blood cell; RVF, residual volume fraction; SR, slope ratio; TIBC, total iron-binding capacity; VBF, venous blood flow; VF, venous flow; VFT, venous filling time; VV, vascular volume; WBC, white blood cell).
Methodological quality of the included studies assessed by the quality index [40].
| Author (year) | Reporting score (score/11) | External validity (score/3) | Bias (score/7) | Confounding (score/6) | Power (score/1) | Global (score/28) |
|---|---|---|---|---|---|---|
| Knight and Lewis (1977) [ | 8 | 2 | 3 | 3 | 0 | 16 |
| Hansen et al. (1998) [ | 11 | 2 | 5 | 2 | 0 | 20 |
| Yamamoto et al. (2000) [ | 10 | 2 | 5 | 4 | 0 | 21 |
| Potério-Filho et al. (2006) [ | 10 | 3 | 4 | 3 | 0 | 20 |
| Irzmańska et al. (2011) [ | 8 | 2 | 4 | 3 | 0 | 17 |
| Tedeschi Filho et al. (2012) [ | 10 | 2 | 4 | 3 | 0 | 19 |
| Sousa et al. (2012) [ | 11 | 3 | 5 | 3 | 0 | 22 |
| Lin et al. (2012) [ | 11 | 2 | 4 | 3 | 0 | 20 |
| Irzmańska et al. (2014) [ | 10 | 2 | 4 | 3 | 0 | 19 |
| Craik et al. (2015) [ | 10 | 3 | 4 | 2 | 0 | 19 |
| Wezenbeek et al. (2017) [ | 11 | 2 | 5 | 2 | 0 | 20 |
| Karimi et al. (2017) [ | 11 | 2 | 5 | 4 | 0 | 22 |
| López-López et al. (2018) [ | 10 | 3 | 5 | 4 | 1 | 23 |
Legend for the global score: excellent (26–28); good (20–25); fair (15–19); and poor (< 14).