Hatha Yoga Practice Improves Attention and Processing Speed in Older Adults: Results from an 8-Week Randomized Control Trial
Abstract
BACKGROUND: Age-related cognitive decline is well documented across various aspects of cognitive function, including attention and processing speed, and lifestyle behaviors such as physical activity play an important role in preventing cognitive decline and maintaining or even improving cognitive function. PURPOSE: The purpose of this study was to evaluate the effects of an 8-week Hatha yoga intervention on attention and processing speed among older adults. METHODS: Participants (n = 118; mean age, 62 ± 5.59) were randomly assigned to an 8-week Hatha yoga group or a stretching control group and completed cognitive assessments-Attention Network Task, Trail Making Test parts A and B, and Pattern Comparison Test-at baseline and after the 8-week intervention. RESULTS: Analyses of covariance revealed significantly faster reaction times for the yoga group on the Attention Network Task's neutral, congruent, and incongruent conditions (p ≤ 0.04). The yoga intervention also improved participants' visuospatial and perceptual processing on the Trail Making Test part B (p = 0.002) and pattern comparison (p < 0.001) tests. CONCLUSIONS: These results suggest that yoga practice that includes postures, breathing, and meditative exercises lead to improved attentional and information processing abilities. Although the underlying mechanisms remain largely speculative, more systematic trials are needed to explore the extent of cognitive benefits and their neurobiological mechanisms.
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A recent study found that the ANT task detected changes in attentional functioning associated with hatha yoga practice.
“A recent study found that the ANT task detected changes in attentional functioning associated with hatha yoga practice [49].”
From A randomized controlled trial of yoga vs nonaerobic exercise for veterans with PTSD: Understanding efficacy, mechanisms of change, and mode of delivery (2021) · cites this paper as [49]
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- Authors
- Gothe, N. P., Kramer, A. F., & McAuley, E.
- Affiliations
- Wayne State University (US)
- Northeastern University (US)
- University of Illinois Urbana-Champaign (US)
- Corresponding author
- Gothe, Neha P.
- Venue
- The Journal of Alternative and Complementary Medicine: Paradigm, Practice, and Policy Advancing Integrative Health
- Publisher
- SAGE Publications
- Published
- 2017-01
- Volume
- 23
- Issue
- 1
- Pages
- 35-40
- ISSN
- 1075-5535 (ISSN-L)
- 1557-7708
- OpenAlex
- W2546471590
- Cited by
- 74
- References
- 32
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 6 · 2023: 10 · 2022: 3 · 2021: 5 · 2020: 17 · 2019: 8 · 2018: 5 · 2017: 2
- FWCI
- 6.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Alternative and Complementary Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Keywords
- hatha yoga, attention, processing speed, older adults, age-related cognitive decline, cognitive aging, physical activity, reaction time, visuospatial processing, perceptual processing, yoga intervention
- MeSH terms
- Aged, Analysis of Variance, Attention, Breathing Exercises, Cognition, Cognition Disorders, Female, Humans, Male, Middle Aged, Reaction Time, Yoga, Exercise, Meditation, Spatial Processing
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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