Study design exploring Qigong and Tai Chi Easy (QTC) on cardiometabolic risk factors.


Journal

Contemporary clinical trials
ISSN: 1559-2030
Titre abrégé: Contemp Clin Trials
Pays: United States
ID NLM: 101242342

Informations de publication

Date de publication:
07 2022
Historique:
received: 13 12 2021
revised: 02 05 2022
accepted: 12 05 2022
pubmed: 20 5 2022
medline: 22 6 2022
entrez: 19 5 2022
Statut: ppublish

Résumé

Cardiovascular disease is the leading cause of death in the United States paralleled with several cardiometabolic risk factors that are on the rise such as obesity, hypertension, and diabetes. Many of these cardiometabolic risk factors are preventable by lifestyle changes in physical activity and dietary patterns. Qigong and Tai Chi Easy (QTC) exercises are considered meditative movement practices that have been shown to reduce cardiometabolic risk factors such as psychosocial stress, poor sleep quality and weight gain and is particularly suitable for older adults. Heart rate variability (HRV) is a common factor known to be related to reduction of these risks and may be enhanced using HRV biofeedback to specifically optimize effects of QTC. The protocol presented describes a two-group parallel randomized controlled trial testing effects of QTC vs QTC plus HRV biofeedback "priming" on HRV parameters (primary), and cardiometabolic risk factors and sequelae (secondary) (e.g., waist circumference/percent body fat, sleep quality, stress, anxiety/depression, emotional regulation, eating behaviors, and cognitive performance). We will enroll 50 adults aged 55-85 years old to participate in an 8-week intervention. Self-reported body measurements, psychosocial and behavioral questionnaires, and cognitive performance assessments will be conducted before and after the intervention. Findings from this study are expected to assess effects of QTC and elucidate the potential role of HRV in QTC relative to cardiometabolic risk factors and sequelae. Implications for how HRV may play a central role and be optimized in a meditative movement practice are discussed.

Sections du résumé

BACKGROUND
Cardiovascular disease is the leading cause of death in the United States paralleled with several cardiometabolic risk factors that are on the rise such as obesity, hypertension, and diabetes. Many of these cardiometabolic risk factors are preventable by lifestyle changes in physical activity and dietary patterns. Qigong and Tai Chi Easy (QTC) exercises are considered meditative movement practices that have been shown to reduce cardiometabolic risk factors such as psychosocial stress, poor sleep quality and weight gain and is particularly suitable for older adults. Heart rate variability (HRV) is a common factor known to be related to reduction of these risks and may be enhanced using HRV biofeedback to specifically optimize effects of QTC.
METHODS
The protocol presented describes a two-group parallel randomized controlled trial testing effects of QTC vs QTC plus HRV biofeedback "priming" on HRV parameters (primary), and cardiometabolic risk factors and sequelae (secondary) (e.g., waist circumference/percent body fat, sleep quality, stress, anxiety/depression, emotional regulation, eating behaviors, and cognitive performance). We will enroll 50 adults aged 55-85 years old to participate in an 8-week intervention. Self-reported body measurements, psychosocial and behavioral questionnaires, and cognitive performance assessments will be conducted before and after the intervention.
CONCLUSIONS
Findings from this study are expected to assess effects of QTC and elucidate the potential role of HRV in QTC relative to cardiometabolic risk factors and sequelae. Implications for how HRV may play a central role and be optimized in a meditative movement practice are discussed.

Identifiants

pubmed: 35589024
pii: S1551-7144(22)00119-7
doi: 10.1016/j.cct.2022.106793
pii:
doi:

Types de publication

Journal Article Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

106793

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Auteurs

Ramya Rameshkumar (R)

Edson College of Nursing and Health Innovation, Arizona State University, 500 N 3rd Street, Phoenix, AZ 85004, USA.

Linda Larkey (L)

Edson College of Nursing and Health Innovation, Arizona State University, 500 N 3rd Street, Phoenix, AZ 85004, USA; Center for Health Promotion and Disease Prevention, Edson College of Nursing and Health Innovation, Arizona State University, 500 N 3rd Street, Phoenix, AZ 85004, USA.

Kate Alperin (K)

Edson College of Nursing and Health Innovation, Arizona State University, 500 N 3rd Street, Phoenix, AZ 85004, USA.

Danielle Martin (D)

Edson College of Nursing and Health Innovation, Arizona State University, 500 N 3rd Street, Phoenix, AZ 85004, USA.

Antonia Primus (A)

Edson College of Nursing and Health Innovation, Arizona State University, 500 N 3rd Street, Phoenix, AZ 85004, USA.

Dara James (D)

Edson College of Nursing and Health Innovation, Arizona State University, 500 N 3rd Street, Phoenix, AZ 85004, USA; Center for Health Promotion and Disease Prevention, Edson College of Nursing and Health Innovation, Arizona State University, 500 N 3rd Street, Phoenix, AZ 85004, USA. Electronic address: Dara.James@asu.edu.

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Classifications MeSH