Evidence map›Paper›PMID 40839173›Full record

Trial reportAging clinical and experimental research2025

Directional postural sway tendencies and static balance among community-dwelling older adults with depression and without cognitive impairment.

Jethro Raphael M Suarez, Veronica B Decker, Joon-Hyuk Park, Nichole R Lighthall, Michael Joseph S Dino, Ladda Thiamwong

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Aging clinical and experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05778604 (Optimizing a Technology-based Body and Mind Intervention to Prevent Falls and Reduce Health Disparities in Low-income Populations), which is not on this 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.

NCT05778604 naunknown statusnot on this map

Optimizing a Technology-based Body and Mind Intervention to Prevent Falls and Reduce Health Disparities in Low-income Populations

TypeinterventionalSponsorUniversity of Central FloridaRan2023 to 2026Enrolled340ConditionsFall, Fear of Falling, Physical Inactivity, Sedentary BehaviorArmsPhysio-feedback, Cognitive reframing, Peer-led exercises, CDC older adults fall prevention
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

6 authors.

Jethro Raphael M SuarezDepartment of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL, USA.ORCID http://orcid.org/0009-0003-6549-6297
Veronica B DeckerCollege of Nursing, University of Central Florida, Orlando, FL, USA.ORCID http://orcid.org/0000-0001-8509-3362
Joon-Hyuk ParkDepartment of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL, USA. joon.park@dgist.ac.kr.ORCID http://orcid.org/0000-0001-9038-4981
Nichole R LighthallDisability, Aging, and Technology Cluster, University of Central Florida, Orlando, FL, USA.ORCID http://orcid.org/0000-0002-8131-8373
Michael Joseph S DinoCollege of Nursing, University of Central Florida, Orlando, FL, USA.ORCID http://orcid.org/0000-0003-1493-2549
Ladda ThiamwongCollege of Nursing, University of Central Florida, Orlando, FL, USA.ORCID http://orcid.org/0000-0001-8506-5812

Funding

Optimizing a technology-based body and mind intervention to prevent falls and reduce health disparities in low-income populations.R01MD018025 · NIMHD · UNIVERSITY OF CENTRAL FLORIDA · PI THIAMWONG, LADDA · 2022 to 2025
$3.0M
NIH Office of the Director 3R01MD018025-02S1NIMHD NIH HHS R01 MD018025NIMHD NIH HHS R01MD018025
6 · The paper itself

Abstract

backgroundDepression is prevalent among older adults and is known to negatively affect balance, ultimately leading to falls. However, few studies have investigated the effect of depression on static balance metrics beyond postural sway distance and area of older adults without mild cognitive impairment (MCI).

aimsTo investigate if postural sway distance, sway area, medial-lateral (ML) sway range, anterior-posterior (AP) sway range, and center-of-pressure (COP) sway speed variability differed between non-cognitively impaired older adults with minimal-to-no depression (Minimally Depressive group) and mild-to-severe depression (Mildly-to-Severely Depressive group).

methodsA total of 204 community-dwelling older adults were included. Depression was measured using the Patient Health Questionnaire-9 (PHQ-9), MCI using the Rowland Universal Dementia Assessment Scale (RUDAS), and static balance metrics using the Balance Tracking System (BTrackS). Mann-Whitney U tests determined differences between groups.

resultsSway area, AP sway range, and ML sway range were significantly greater in the Mildly-to-Severely Depressive group than the Minimally Depressive group (p = 0.010, p = 0.016, and p = 0.031, respectively). Sway distance (p = 0.445) and COP sway speed variability (p = 0.193) were not significantly different between groups. DISCUSSION: The findings revealed greater sway area, as well as greater ranges in the AP and ML directions, in the Mildly-to-Severely Depressive group when compared to the Minimally Depressive Group. Reduced concentration and affected postural stabilization mechanisms driven by depression may have attributed to these results.

conclusionsThis study highlights the need for further understanding of how static balance metrics, such as directional sway, are affected by depression, thereby creating interventions tailored to individual's postural sway characteristics to help reduce fall risk and improve balance.

trial registrationClinicalTrials.gov (NCT05778604).

Indexed as

Accidental FallsDepressionPostural BalanceAgedAged, 80 and overCognitive DysfunctionFemaleHumansMaleBalanceBTrackSEllipse areaMental health

Identifiers

PMID40839173
PMCPMC12370788

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.