Evidence map›Paper›PMID 35957266›Full record

ArticleSensors (Basel, Switzerland)2022

Gait Characteristics and Cognitive Function in Middle-Aged Adults with and without Type 2 Diabetes Mellitus: Data from ENBIND.

Pieter M R Herings, Adam H Dyer, Sean P Kennelly, Sean Reid, Isabelle Killane, Louise McKenna, Nollaig M Bourke, Conor P Woods, Desmond O'Neill, James Gibney and 1 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. 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

11 authors at 3 institutions in 1 country.

Pieter M R HeringsSchool of Engineering, Trinity College Dublin, D08 XW7X Dublin, Ireland.
Adam H DyerDepartment of Medical Gerontology, School of Medicine, Trinity College Dublin, D02 R590 Dublin, Ireland.ORCID 0000-0003-1356-510X
Sean P KennellyDepartment of Medical Gerontology, School of Medicine, Trinity College Dublin, D02 R590 Dublin, Ireland.
Sean ReidSchool of Engineering, Trinity College Dublin, D08 XW7X Dublin, Ireland.
Isabelle KillaneDepartment of Engineering, Technological University Dublin, D07 EWV4 Dublin, Ireland.ORCID 0000-0002-4770-5273
Louise McKennaDepartment of Age-Related Healthcare, Tallaght University Hospital, D24 NR0A Dublin, Ireland.
Nollaig M BourkeDepartment of Medical Gerontology, School of Medicine, Trinity College Dublin, D02 R590 Dublin, Ireland.ORCID 0000-0003-4313-6859
Conor P WoodsRobert Graves Institute of Endocrinology, Tallaght University Hospital, D24 NR0A Dublin, Ireland.
Desmond O'NeillDepartment of Medical Gerontology, School of Medicine, Trinity College Dublin, D02 R590 Dublin, Ireland.
James GibneyRobert Graves Institute of Endocrinology, Tallaght University Hospital, D24 NR0A Dublin, Ireland.
Richard B ReillySchool of Engineering, Trinity College Dublin, D08 XW7X Dublin, Ireland.ORCID 0000-0001-8578-1245
Trinity College Dublin · IETallaght University Hospital · IETechnological University Dublin · IE

Funding

Meath Foundation NA
6 · The paper itself

Abstract

Type 2 Diabetes Mellitus (T2DM) in midlife is associated with a greater risk of dementia in later life. Both gait speed and spatiotemporal gait characteristics have been associated with later cognitive decline in community-dwelling older adults. Thus, the assessment of gait characteristics in uncomplicated midlife T2DM may be important in selecting-out those with T2DM at greatest risk of later cognitive decline. We assessed the relationship between Inertial Motion Unit (IMUs)-derived gait characteristics and cognitive function assessed via Montreal Cognitive Assessment (MoCA)/detailed neuropsychological assessment battery (CANTAB) in middle-aged adults with and without uncomplicated T2DM using both multivariate linear regression and a neural network approach. Gait was assessed under (i) normal walking, (ii) fast (maximal) walking and (iii) cognitive dual-task walking (reciting alternate letters of the alphabet) conditions. Overall, 138 individuals were recruited (n = 94 with T2DM; 53% female, 52.8 ± 8.3 years; n = 44 healthy controls, 43% female, 51.9 ± 8.1 years). Midlife T2DM was associated with significantly slower gait velocity on both slow and fast walks (both p < 0.01) in addition to a longer stride time and greater gait complexity during normal walk (both p < 0.05). Findings persisted following covariate adjustment. In analyzing cognitive performance, the strongest association was observed between gait velocity and global cognitive function (MoCA). Significant associations were also observed between immediate/delayed memory performance and gait velocity. Analysis using a neural network approach did not outperform multivariate linear regression in predicting cognitive function (MoCA) from gait velocity. Our study demonstrates the impact of uncomplicated T2DM on gait speed and gait characteristics in midlife, in addition to the striking relationship between gait characteristics and global cognitive function/memory performance in midlife. Further studies are needed to evaluate the longitudinal relationship between midlife gait characteristics and later cognitive decline, which may aid in selecting-out those with T2DM at greatest-risk for preventative interventions.

Indexed as

Diabetes Mellitus, Type 2AgedCognitionFemaleGaitHumansMaleMiddle AgedWalkingWalking Speeddementiagaitmild cognitive impairmentneural networkprediction models

Identifiers

PMID35957266
PMCPMC9370923
OpenAlexW4289529569

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.