A Systematic Review of Mind-Based Aerobic Techniques to Improve Functional Abilities in Depression-Affected Older Adults
DOI:
https://doi.org/10.38124/ijsrmt.v3i12.1018Keywords:
Mind-Based Aerobic Exercise, Depression, Older Adults, Functional Ability, Tai Chi, Yoga, Dual-Task TrainingAbstract
Background:
Decreased independence, decreased vocational participation, and functional decline are all closely linked to late-life depression. Mind-based aerobic methods (MBAT) are becoming more popular as comprehensive therapies to enhance functional and psychological results in older persons. MBAT combines physical activity with cognitive and mindfulness components.
Objective:
To conduct a thorough systematically analysis of research on the impact of mind-based aerobic approaches on functional capacities in older persons with depression that was published between 2000 and 2023.
Methods:
PubMed, Scopus, CINAHL, PsycINFO, and Google Scholar were among the databases that were searched. Studies that addressed MBAT therapies such Tai Chi, Qigong, aerobic yoga, mindful walking, rhythmic breathing aerobics, and dual-task cognitive-motor exercises were eligible, as were RCTs, quasi-experimental designs, controlled trials, and systematic reviews. Functional ability, mobility, gait, ADL performance, balance, endurance, and cognitive-motor functioning were among the outcomes. PRISMA rules were adhered to.
Results:
42 studies satisfied the requirements for inclusion. The greatest gains in functional mobility, balance, ADLs, endurance, and psychomotor performance were demonstrated by Tai Chi, aerobic yoga, and dual-task cognitive–motor training. ADL gains varied from 10–30%, functional improvement from 18–45%, and depressive symptom decrease from 20–55% across all investigations. Research continuously demonstrates that MBAT is a secure and useful supplement to conventional depression treatment.
Conclusion:
In older persons with depression, mind-based aerobic strategies greatly improve mood and functioning capacities. Standardized outcome measures, bigger sample numbers, and longer follow-up should be used in future studies.
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