Evidence map›Paper›PMID 41610052›Full record

ArticleNeuro-degenerative diseases2026

Examining the Influence of Task Complexity on Dual-Task Performance in Parkinson's Disease and Healthy Older Adults.

Sarah Jo Conklin, Elizabeth Barkley, Jonathan Haug, Yi-Fang Chiu, Jason K Longhurst

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Article in Neuro-degenerative diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sarah Jo ConklinDepartment of Physical Therapy and Athletic Training, Saint Louis University, Saint Louis, Missouri, USA, sarah.j.carlson@slu.edu.
Elizabeth BarkleyDepartment of Physical Therapy and Athletic Training, Saint Louis University, Saint Louis, Missouri, USA.
Jonathan HaugDepartment of Physical Therapy and Athletic Training, Saint Louis University, Saint Louis, Missouri, USA.
Yi-Fang ChiuDepartment of Speech, Language, and Hearing Sciences, Saint Louis University, Saint Louis, Missouri, USA.
Jason K LonghurstDepartment of Physical Therapy and Athletic Training, Saint Louis University, Saint Louis, Missouri, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

<p>Introduction: People with Parkinson's disease (PwPD) often experience difficulty performing dual-tasks (DTs), negatively impacting mobility, fall risk, and quality of life. The influence of task complexity on DT performance remains unclear. This study examined the effects of gait complexity and cognitive/speaking task on DT effects (DTEs) in PwPD and healthy older adults.

methodsForty-one PwPD and eleven healthy older adults completed two gait tasks - straight walking (simple) and figure-8 walking with obstacle crossing (complex) - on a pressure-sensitive walkway, paired with four cognitive/speaking tasks: oral trail making, counting, diadochokinetic task, and spontaneous speech. Each combination was performed three times for 20 s. Single-task and DT performance were assessed for gait parameters (step length, step length coefficient of variation) and cognitive/speaking task response rate. Motor DTE (mDTE), cognitive DTE (cogDTE), combined DTE (cDTE), and modified attention allocation index (mAAI) were calculated. A 2 × 5 repeated-measures ANOVA tested effects of gait complexity and cognitive/speaking task on raw gait metrics, and a 2 × 4 ANOVA tested effects on DTE metrics.

resultsIn PwPD, complex walking resulted in shorter step length and greater step length coefficient of variation compared to simple walking (ps < 0.001), whereas cognitive/speaking task did not affect raw gait metrics. For DTEs, cognitive/speaking task influenced step length-based mDTE, cDTE, and mAAI (ps < 0.05) and step length coefficient of variation-based mAAI (p < 0.05). In healthy older adults, gait complexity led to greater step length coefficient of variation (p < 0.001) while step length was unchanged. Cognitive/speaking task significantly influenced step length-based cogDTE, cDTE, and mAAI, as well as step length coefficient of variation-based cogDTE and mAAI (ps < 0.05). No significant interactions were observed.

conclusionIn PwPD, gait complexity influenced raw gait performance, whereas DTEs were more sensitive to cognitive/speaking task. In healthy older adults, gait complexity primarily affected step length variability, while DTEs were also influenced by cognitive/speaking task. These findings emphasize the value of diverse DT paradigms and the importance of assessing both raw performance and DTEs. Tailoring assessments to include a variety of motor and cognitive challenges may improve sensitivity in evaluating gait and fall risk, supporting more personalized interventions. </p>.

Indexed as

GaitParkinson DiseasePsychomotor PerformanceAgedAttentionCognitionDual-Task TestsFemaleHumansMaleMiddle AgedWalkingCognitionDual taskGaitParkinson’s disease

Identifiers

PMID41610052
PMCPMC13012771

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LicenceCC BY-NC
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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.