Effects Of Aquatic High Intensity Interval Training (AHIIT) DWR On Cardiometabolic Health In Elderly Women

Aquatic High Intensity Interval Training has the potential to improve cardiometabolic health and cognition, while minimizing musculoskeletal strain compared to land-based training. Deep water running (DWR) has emerged as a promising method, offering a reduced risk of injuries and greater affordability for inactive elderly women. PURPOSE: To investigate the effects of an 8-week AHIIT- DWR intervention compared to land-based HIT training (LHIIT) on cardiometabolic health and cognitive outcomes in elderly women. METHODS: Sixty-nine inactive elderly women aged 60 or above were randomly assigned into two groups: AHIIT and LHIIT. The AHIIT group engaged in DWR sessions comprising 30-minutes of interval training, consisting of ten 2-minute exercise bouts at 80-90% of their maximal heart rate (HR max), with 1-minute active recovery at 70% HR max between bouts. The LHIIT group performed treadmill running at the same intensity. Both groups trained twice a week. Aerobic capacity including VO2 max, oxygen pulse, respiratory exchange ratio (RER), minute ventilation (VE) and HR max were assessed using a metabolic analyzer. Lipid profiles were measured through blood analysis. Cognitive function was evaluated using the Montreal Cognitive Assessment (MOCA) and Mini- mental status examinations (MMSE). RESULTS: Both groups showed similar cardiovascular fitness (VO2max) improvement (AHIIT-DWR: 20.88 ± 4.49 to 23.29 ± 5.14; LHIIT: 22.84 ± 6.6 to 25.82 ± 4.66 mL kg−1 min−1, p < 0.05) and RER (AHIIT-DWR: 1.01 1.42 to 1.04 ± 0.10; LHIIT: 0.99 ± 0.10 to 1.16 ± 0.09, p < 0.05) over the 8- week intervention. Compared to baseline, significant differences were identified in VE between AHIIT-DWR and LHIIT group. (AHIIT-DWR: 64.64 ± 11.60; LHIIT: 55.11 ± 12.64, p < 0.05). No significant group differences were observed for cardiometabolic blood markers such as lipid profiles, fasting glucose or cognitive function measured by MOCA and MMSE. AHIIT-DWR showed a high unsupervised adherence rate (>90%). CONCLUSION: Our findings suggest that AHIIT-DWR can elicit a similar improvement in cardiometabolic fitness as LHIIT in inactive older women. AHIIT-DWR and LHIIT had no differences in cardiometabolic blood markers or cognitive function.

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Journal
Medicine & Science in Sports & Exercise
Published
2024-09-16
DOI
https://doi.org/10.1249/01.mss.0001061360.70434.ac
Primary Topic
Cardiovascular and exercise physiology
Type
article
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article

Effects Of Aquatic High Intensity Interval Training (AHIIT) DWR On Cardiometabolic Health In Elderly Women

Billy C. L. So, Jonathan Myers, Shamay S. M. Ng, M. Y. Kwok Manny
Medicine & Science in Sports & Exercise
Cardiovascular and exercise physiology
article

Effects Of Aquatic High Intensity Interval Training (AHIIT) DWR On Cardiometabolic Health In Elderly Women

Billy C. L. So, Jonathan Myers, Shamay S. M. Ng, M. Y. Kwok Manny
article en

Abstract

Aquatic High Intensity Interval Training has the potential to improve cardiometabolic health and cognition, while minimizing musculoskeletal strain compared to land-based training. Deep water running (DWR) has emerged as a promising method, offering a reduced risk of injuries and greater affordability for inactive elderly women. PURPOSE: To investigate the effects of an 8-week AHIIT- DWR intervention compared to land-based HIT training (LHIIT) on cardiometabolic health and cognitive outcomes in elderly women. METHODS: Sixty-nine inactive elderly women aged 60 or above were randomly assigned into two groups: AHIIT and LHIIT. The AHIIT group engaged in DWR sessions comprising 30-minutes of interval training, consisting of ten 2-minute exercise bouts at 80-90% of their maximal heart rate (HR max), with 1-minute active recovery at 70% HR max between bouts. The LHIIT group performed treadmill running at the same intensity. Both groups trained twice a week. Aerobic capacity including VO2 max, oxygen pulse, respiratory exchange ratio (RER), minute ventilation (VE) and HR max were assessed using a metabolic analyzer. Lipid profiles were measured through blood analysis. Cognitive function was evaluated using the Montreal Cognitive Assessment (MOCA) and Mini- mental status examinations (MMSE). RESULTS: Both groups showed similar cardiovascular fitness (VO2max) improvement (AHIIT-DWR: 20.88 ± 4.49 to 23.29 ± 5.14; LHIIT: 22.84 ± 6.6 to 25.82 ± 4.66 mL kg−1 min−1, p < 0.05) and RER (AHIIT-DWR: 1.01 1.42 to 1.04 ± 0.10; LHIIT: 0.99 ± 0.10 to 1.16 ± 0.09, p < 0.05) over the 8- week intervention. Compared to baseline, significant differences were identified in VE between AHIIT-DWR and LHIIT group. (AHIIT-DWR: 64.64 ± 11.60; LHIIT: 55.11 ± 12.64, p < 0.05). No significant group differences were observed for cardiometabolic blood markers such as lipid profiles, fasting glucose or cognitive function measured by MOCA and MMSE. AHIIT-DWR showed a high unsupervised adherence rate (>90%). CONCLUSION: Our findings suggest that AHIIT-DWR can elicit a similar improvement in cardiometabolic fitness as LHIIT in inactive older women. AHIIT-DWR and LHIIT had no differences in cardiometabolic blood markers or cognitive function.

Medicine & Science in Sports & ExerciseVol. 56(10S)
Hong Kong Polytechnic University (HK), Stanford University (US)
Openalex Percentile: Top 69%
Cardiovascular and exercise physiology
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