Development of a Qigong Used for Insomnia Therapy (QUIT) Program for Improving Sleep Quality and Blood Pressure in Chinese Women With Menopause: Pre-Post Pilot Test of Feasibility
Notice bibliographique
Résumé
Background: Around 20%-50% of Chinese menopausal women experience insomnia, which is associated with elevated blood pressure (BP). Despite this, the population remains understudied. Qigong, a simple form of Chinese exercise, has been shown to improve insomnia and BP but has not been explicitly used to address menopausal symptoms in Chinese women. This study aims to test the feasibility of a Qigong-based intervention in enhancing sleep quality and BP control in this population. Objective: This study aimed to develop and pilot test the feasibility of a culturally sensitive Qigong Used for Insomnia Therapy (QUIT) intervention in improving sleep quality and BP among Chinese menopausal women. Methods: From August 2023 to May 2024, this study used a 1-group pretest-posttest design (N=22) to evaluate the QUIT intervention. The intervention consisted of a 10-minute Qigong demonstration video, a 10-minute practice and return demonstration and a 5-minute insomnia counseling session at baseline. Participants were instructed to engage in daily 10-minute Qigong practice for 1 month. Outcome measures, including sleep quality and BP, were assessed at baseline and at the 1-month follow-up. Data on demographics were collected via self-reported questionnaires. At the end of the study, participants were interviewed using semistructured questions to assess their perception of the intervention's feasibility. Qualitative data were analyzed using content analysis, with interviews transcribed and coded independently by the principal investigator and research assistant. Categories related to feasibility, adherence, and barriers were identified. Quantitative data were analyzed using SPSS 27.0 (IBM Corp), using descriptive statistics and paired sample t tests to assess changes in sleep quality and BP, with statistical significance set at .05. Results: The mean age of participants was 53.78 (SD 8.79, range 42-74) years. Most participants lived with relatives or friends (20/22, 91%), were employed (16/22, 73%), were married (19/22, 86%), and had at least high school education (19/22, 86%). The mean 23-item Sleep Quality Scale score significantly improved from 18.59 (SD 11.41) at baseline to 15.64 (SD 9.65; mean difference 2.96, SD 7.04; t21=1.97, P=.03) after 1 month, indicating better sleep quality (the 23-item Sleep Quality Scale was reversely scored). There was a trend toward reduced systolic BP from 115.47 (SD 14.95) at baseline to 113.59 (SD 13.93; mean difference -0.89, SD 1.64; t21=-1.15, P=.26) after 1 month. Diastolic BP also improved from 74.69 (SD 10.81) at baseline to 71.41 (SD 16.82) at 1 month (mean difference -3.28, SD 4.04; t21=-0.81, P=.43). Conclusions: The QUIT intervention was culturally sensitive, low-cost, and easy to implement. It showed significant improvements in sleep quality and trends toward reduced BP in Chinese menopausal women. Further investigation is recommended to further test the QUIT intervention to establish a robust program across different states. Once validated, the QUIT intervention may be implemented in various clinical settings to help Chinese menopausal women achieve optimal sleep quality and BP management.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».