Table · dataset · 2026
Data Sheet 1_Dose–response relationships between temporal variables of blood flow restriction exercise and physiological adaptations: a systematic review and meta-analysis.docx
Listed in ZivaHub and Deakin Research Online and DMU Figshare and HKU DataHub and Swinburne Figshare and DaYta Ya Rona and SUNScholarData and figshare and Loughborough Research Repository and GRANTS Data and UP Research Data Repository — shown once because both records carry DOI 10.3389/fphys.2026.1947412.s001
Description
Background<p>To evaluate dose–response relationships between temporal variables of blood flow restriction (BFR) exercise as a physiological stimulus and changes in physiological adaptations.</p>Methods<p>Following PRISMA, Web of Science, PubMed, SPORTDiscus and Scopus were searched (inception–3 May 2026) for RCTs in athletes or physically active healthy adolescents and young adults comparing BFR interventions with conventional exercise protocols.
Risk of bias was assessed with RoB 2 and certainty with GRADE. In total, 15 articles (16 trials; 50 effect sizes) were included. Standardised mean differences (SMDs) were computed, with effect directions harmonised for context-dependent outcomes (HR, RER, RPE) so that positive values consistently reflect physiological improvements.
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These SMDs were pooled using a three-level random-effects model with robust variance estimation (RVE; clustered by study). A DerSimonian-Laird random-effects model with inverse-variance weighting was used for consistency checks.</p>Results<p>Overall, BFR exercise elicited significant physiological adaptations (SMD = 0.249, 95% CI: 0.095–0.405), with findings remaining consistent in the DerSimonian-Laird model (overall SMD = 0.231, 95% CI: 0.111–0.349).
By intensity, effects were: high-intensity BFR group (SMD = 0.208, 95% CI: 0.163–0.252), moderate-intensity group (SMD = 0.315, 95% CI: −0.465–1.095) and low-intensity group (SMD = 0.293, 95% CI: 0.057–0.529). Meta-regression showed positive associations of effect size with BFR duration (β = 0.0136, p = 0.0011) and stimulus duration (β = 0.0104, p = 0.0347). However, after adjusting for the period, BFR duration was not significant (p = 0.0972) due to collinearity; BFR pressure was not a significant moderator.
Regarding specific physiological responses, only VO<sub>2</sub>max showed robust statistical significance (SMD = 0.386, 95% CI: 0.055–0.717).</p>Conclusion<p>The most consistent evidence for BFR-induced improvements relates specifically to VO<sub>2</sub>max, whereas effects on other physiological outcomes remain tentative. In the initial RVE, among the specific physiological outcomes, VO<sub>2</sub>max, MPO, and RER reached significance, whereas HR and MAP were borderline; upon DL re-verification, only VO<sub>2</sub>max retained significance.
Low-intensity BFR showed clearer advantages over conventional low-intensity exercise, whereas benefits were smaller versus conventional high-intensity protocols. Both BFR duration and stimulus duration showed positive dose–response relationships with effect size. However, multivariable models revealed that the apparent effect of BFR duration was confounded by the total intervention period.
In addition, no other variables exhibited significant moderating effects.</p>
Links
Where it is published
- DOI doi.org/10.3389/fphys.2026.1947412.s001 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Chemistry · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Economics & Finance · Engineering · Engineering · Engineering · Engineering · Humanities · Humanities · Humanities · Humanities · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Materials Science · Mathematics & Statistics · Medicine & Health · Medicine & Health · Ocean & Atmospheric Science · Psychology & Behavioral Science · Social Science · Social Science · Social Science · Social Science
- Inferred from text
- Sports science and exercise 72%
Provenance · 11 source records, 46 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34041516 | 5 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34041516 | 5 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/34041516 | 5 d ago | JSON v1 |
| HKU DataHub | oai:figshare.com:article/34041516 | 4 d ago | JSON v1 |
| Swinburne Figshare | oai:figshare.com:article/34041516 | 4 d ago | JSON v1 |
| DaYta Ya Rona | oai:figshare.com:article/34041516 | 4 d ago | JSON v1 |
| SUNScholarData | oai:figshare.com:article/34041516 | 4 d ago | JSON v1 |
| figshare | oai:figshare.com:article/34041516 | 4 d ago | JSON v1 |
| Loughborough Research Repository | oai:figshare.com:article/34041516 | 4 d ago | JSON v1 |
| GRANTS Data | oai:figshare.com:article/34041516 | 4 d ago | JSON v1 |
| UP Research Data Repository | oai:figshare.com:article/34041516 | 3 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].anzsrc:group:4207 | enrichment · zivahub uct ac za | taxonomy-embedding@1.0.0 | title+keywords+description (72%) |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare swinburne edu au | connector:figshare_swinburne_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · scholardata sun ac za | connector:scholardata_sun_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · grantsdata jst go jp | connector:grantsdata_jst_go_jp@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:humanities | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:materials-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |