PMID- 36865178
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230303
DP  - 2023 Feb 23
TI  - Training parameters and longitudinal adaptations that most strongly mediate 
      walking capacity gains from high-intensity interval training post-stroke.
LID - 2023.02.20.23286194 [pii]
LID - 10.1101/2023.02.20.23286194 [doi]
AB  - BACKGROUND: Locomotor high-intensity interval training (HIIT) has been shown to 
      improve walking capacity more than moderate-intensity aerobic training (MAT) 
      after stroke, but it is unclear which training parameter(s) should be prioritized 
      (e.g. speed, heart rate, blood lactate, step count) and to what extent walking 
      capacity gains are the result of neuromotor versus cardiorespiratory adaptations. 
      OBJECTIVE: Assess which training parameters and longitudinal adaptations most 
      strongly mediate 6-minute walk distance (6MWD) gains from post-stroke HIIT. 
      METHODS: The HIT-Stroke Trial randomized 55 persons with chronic stroke and 
      persistent walking limitations to HIIT or MAT and collected detailed training 
      data. Blinded outcomes included 6MWD, plus measures of neuromotor gait function 
      (e.g. fastest 10-meter gait speed) and aerobic capacity (e.g. ventilatory 
      threshold). This ancillary analysis used structural equation models to compare 
      mediating effects of different training parameters and longitudinal adaptations 
      on 6MWD. RESULTS: Net gains in 6MWD from HIIT versus MAT were primarily mediated 
      by faster training speeds and longitudinal adaptations in neuromotor gait 
      function. Training step count was also positively associated with 6MWD gains, but 
      was lower with HIIT versus MAT, which decreased the net 6MWD gain. HIIT generated 
      higher training heart rate and lactate than MAT, but aerobic capacity gains were 
      similar between groups, and 6MWD changes were not associated with training heart 
      rate, training lactate, or aerobic adaptations. CONCLUSIONS: To increase walking 
      capacity with post-stroke HIIT, training speed and step count appear to be the 
      most important parameters to prioritize.
FAU - Boyne, Pierce
AU  - Boyne P
AUID- ORCID: 0000-0003-3611-9057
FAU - Miller, Allison
AU  - Miller A
FAU - Schwab, Sarah M
AU  - Schwab SM
FAU - Sucharew, Heidi
AU  - Sucharew H
FAU - Carl, Daniel
AU  - Carl D
FAU - Billinger, Sandra A
AU  - Billinger SA
FAU - Reisman, Darcy S
AU  - Reisman DS
LA  - eng
PT  - Preprint
DEP - 20230223
PL  - United States
TA  - medRxiv
JT  - medRxiv : the preprint server for health sciences
JID - 101767986
PMC - PMC9980231
EDAT- 2023/03/04 06:00
MHDA- 2023/03/04 06:01
PMCR- 2023/03/02
CRDT- 2023/03/03 02:28
PHST- 2023/03/03 02:28 [entrez]
PHST- 2023/03/04 06:00 [pubmed]
PHST- 2023/03/04 06:01 [medline]
PHST- 2023/03/02 00:00 [pmc-release]
AID - 2023.02.20.23286194 [pii]
AID - 10.1101/2023.02.20.23286194 [doi]
PST - epublish
SO  - medRxiv [Preprint]. 2023 Feb 23:2023.02.20.23286194. doi: 
      10.1101/2023.02.20.23286194.