Evidence map›Paper›PMID 41809409›Full record

ArticleJournal of physical medicine and rehabilitation (Wilmington, Del.)2025

At-Home High-Intensity Interval Training for Individuals with Paraplegia Following Spinal Cord Injury: A Case Series.

Kevin L Webb, Margaux B Linde, Daniel D Veith, Olaf H Morkeberg, Megan L Gill, Meegan G Van Straaten, Edward R Laskowski, Michael J Joyner, Lisa A Beck, Kristin D Zhao and 2 more

Abstract read
In one paragraph

Article in Journal of physical medicine and rehabilitation (Wilmington, Del.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Kevin L WebbHuman & Integrative Physiology and Clinical Pharmacology Laboratory, Department of Anesthesiology & Perioperative Medicine, Mayo Clinic, Rochester, MN, United States.
Margaux B LindeAssistive & Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine & Rehabilitation, Mayo Clinic, Rochester, MN, United States.
Daniel D VeithAssistive & Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine & Rehabilitation, Mayo Clinic, Rochester, MN, United States.
Olaf H MorkebergHuman & Integrative Physiology and Clinical Pharmacology Laboratory, Department of Anesthesiology & Perioperative Medicine, Mayo Clinic, Rochester, MN, United States.
Megan L GillAssistive & Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine & Rehabilitation, Mayo Clinic, Rochester, MN, United States.
Meegan G Van StraatenAssistive & Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine & Rehabilitation, Mayo Clinic, Rochester, MN, United States.
Edward R LaskowskiDepartment of Physical Medicine & Rehabilitation and Division of Sports Medicine, Department of Orthopedics, Mayo Clinic, Rochester, MN, United States.
Michael J JoynerHuman & Integrative Physiology and Clinical Pharmacology Laboratory, Department of Anesthesiology & Perioperative Medicine, Mayo Clinic, Rochester, MN, United States.
Lisa A BeckAssistive & Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine & Rehabilitation, Mayo Clinic, Rochester, MN, United States.
Kristin D ZhaoAssistive & Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine & Rehabilitation, Mayo Clinic, Rochester, MN, United States.
Kristin L GarlangerAssistive & Restorative Technology Laboratory, Rehabilitation Medicine Research Center, Department of Physical Medicine & Rehabilitation, Mayo Clinic, Rochester, MN, United States.
Chad C WigginsHuman & Integrative Physiology and Clinical Pharmacology Laboratory, Department of Anesthesiology & Perioperative Medicine, Mayo Clinic, Rochester, MN, United States.

Funding

DIABETES AND METABOLISMT32DK007352 · NIDDK · MAYO CLINIC ROCHESTER · PI MICHAEL D. JENSEN · 1986 to 2026
$9.4M
Interdisciplinary Training in Lung Physiology and Biomedical EngineeringT32HL105355 · NHLBI · MAYO CLINIC ROCHESTER · PI PRAKASH, Y. S., SIECK, GARY C. · 2012 to 2021
$3.9M
NHLBI NIH HHS T32 HL105355NIDDK NIH HHS T32 DK007352
6 · The paper itself

Abstract

Introduction: This study aimed to assess the efficacy of a 16-week at-home high-intensity interval training (HIIT) program among individuals with spinal cord injury (SCI). Method: Eight individuals (3 females) with chronic SCI below the sixth thoracic vertebrae participated in a 16-week at-home HIIT program using an arm ergometer. Participants completed baseline graded exercise tests to determine target heart rate zones. HIIT was prescribed three times per week. Each training session included six one-minute bouts with a target heart rate ~80% heart rate reserve (HRR), interspersed with two minutes of recovery (~30% HRR). A portable heart rate monitor and phone application provided visual feedback during training and allowed for measurements of adherence and compliance. Surveys were administered to assess participation, self-efficacy, and satisfaction. Results: Participants demonstrated a decrease in submaximal cardiac output by ~17% ( Conclusion: Participants demonstrated an improvement in cardiac efficiency during submaximal exercise, and maximal work capacity following at-home HIIT. Additionally, participant adherence, compliance, satisfaction, and self-efficacy metrics suggest that at-home HIIT was easily implemented and enjoyable.

Indexed as

Arm ErgometryCardiovascular HealthHigh-intensity Interval TrainingSpinal Cord InjuryVO2max

Identifiers

PMID41809409
PMCPMC12970954

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.