Evidence map›Paper›PMID 41027945›Full record

ArticleScientific data2025

NONAN GaitPrint: An IMU gait database of healthy middle-aged adults.

Tyler M Wiles, Seung Kyeom Kim, Marilena Kalaitzi Manifrenti, Kolby J Brink, Alli Grunkemeyer, Nick Stergiou, Aaron D Likens

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Tyler M WilesDepartment of Biomechanics, University of Nebraska at Omaha, 6001 Dodge St, Omaha, Nebraska, 68182, USA.ORCID 0000-0001-9915-6950
Seung Kyeom KimDepartment of Biomechanics, University of Nebraska at Omaha, 6001 Dodge St, Omaha, Nebraska, 68182, USA.ORCID 0000-0001-5059-6867
Marilena Kalaitzi ManifrentiDepartment of Biomechanics, University of Nebraska at Omaha, 6001 Dodge St, Omaha, Nebraska, 68182, USA.ORCID 0000-0001-5630-2305
Kolby J BrinkDepartment of Biomechanics, University of Nebraska at Omaha, 6001 Dodge St, Omaha, Nebraska, 68182, USA.ORCID 0000-0003-3255-7252
Alli GrunkemeyerDepartment of Biomechanics, University of Nebraska at Omaha, 6001 Dodge St, Omaha, Nebraska, 68182, USA.ORCID 0000-0001-7722-2910
Nick StergiouDepartment of Biomechanics, University of Nebraska at Omaha, 6001 Dodge St, Omaha, Nebraska, 68182, USA.ORCID 0000-0002-9737-9939
Aaron D LikensDepartment of Biomechanics, University of Nebraska at Omaha, 6001 Dodge St, Omaha, Nebraska, 68182, USA. alikens@unomaha.edu.ORCID 0000-0002-6535-5772

Funding

Visual control of locomotion in people with Parkinsons diseaseP20GM109090 · NIGMS · UNIVERSITY OF NEBRASKA OMAHA · PI STERGIOU, NIKOLAOS · 2014 to 2023
$20.5M
Tissue Analysis Core (TAC)P20GM152301 · NIGMS · UNIVERSITY OF NEBRASKA OMAHA · PI Alexey Kamenskiy · 2024 to 2026
$8.8M
The influence of 3D printed prostheses on neural activation patterns of the primary motor cortex in children with unilateral congenital upper-limb reductionsR01NS114282 · NINDS · UNIVERSITY OF NEBRASKA OMAHA · PI KNARR, BRIAN ANDREW, ZUNIGA, JORGE M · 2020 to 2023
$1.5M
National Science Foundation (NSF) 212491NIGMS NIH HHS P20 GM109090NIGMS NIH HHS P20 GM152301NINDS NIH HHS R01 NS114282U.S. Department of Health & Human Services | National Institutes of Health (NIH) P20GM109090U.S. Department of Health & Human Services | National Institutes of Health (NIH) P20GM152301U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01NS114282
6 · The paper itself

Abstract

Despite comprising approximately 25% of the total U.S. population and 41% of its workforce in 2023, middle-aged adults (whom we define as 36-55 years) face a stark disparity between their demographic representation and the available research data dedicated to them. This dataset contributes to addressing that gap as the final addition to the Nonlinear Analysis Core (NONAN) GaitPrint database, focusing specifically on middle-aged adults. Designed to complement our previously published datasets on young and older adults using an identical protocol, this dataset includes full-body inertial measurement data during self-paced overground walking on a 200 m indoor track of 50 middle-aged adults (36-55 years old; 21 men and 29 women; age: 46.1 ± 5.9 years; height: 173.43 ± 8.42 cm; body mass: 87.14 ± 18.87 kg) collected across 18 four-minute trials conducted over two days. Exhaustive documentation, subject and trial characteristics, supplementary code, and results accompany the dataset. The technical validation comprises five distinct analyses, comparative assessments with existing literature, and interpretative insights into the findings.

Indexed as

Databases, FactualGaitAdultFemaleHumansMaleMiddle AgedWalking

Identifiers

PMID41027945
PMCPMC12484833

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.