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Effectiveness of Benson’s Relaxation Technique In Stressed PCOD Women
Article | IMSEAR | ID: sea-231320
Background: Polycystic Ovary Syndrome (PCOS) is a prevalent endocrinological disorder in women, causing metabolic dysfunction and body composition changes. As of June 30, 2022, WHO estimates indicate over 116 million women (3.4%) globally are affected by PCOS. Stress, defined as worry and mental tension from difficult situations, is a major contributor to reproductive dysfunction. Reports increasingly highlight stress’s role in PCOS manifestation. The study aims to assess the Benson relaxation technique’s effectiveness in alleviating stress in women with PCOS.Aim: To determine the effectiveness of Benson’s relaxation technique in stressed PCOD.Methodology: Study Design: Experimental study, Study setting: Dr. B.R. Ambedkar Medical College and Hospital, Department of Physiotherapy, Bangalore -560045 Sample design: Purposive sampling. Sample size: 30 patients.Result: A significant reduction in stress among PCOD women was observed with the use of Benson’s Relaxation Technique. The pre-perceived stress score before the technique was 22.63±5.26, decreasing to 18.23±5.98 post-intervention. The enhancement score was 4.40, with a t-value of 11.08. The analysis indicates a substantial stress reduction among PCOD women using Benson’s Relaxation Technique, as assessed through the Perceived Stress Scale (p<0.001).Conclusion: The study conclusively demonstrated the efficacy of Benson’s Relaxation Technique in alleviating stress among women with PCOD. The analysis revealed a significant shift in stress levels, with 33.4% transitioning from high to moderate stress, 30.3% from moderate to low, and 30% maintaining moderate stress. Only 3.3% had persistent low stress, and the same percentage had persistent high stress. The pre-intervention stress score was 22.63526, decreasing to 18.2315.98 post-intervention, yielding a noteworthy enhancement score of 4.40. This signifies a statistically significant reduction in perceived stress (p<0.001), supported by a t-value of 11.08.
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Texte intégral: 1 Indice: IMSEAR Année: 2024 Type: Article
Texte intégral: 1 Indice: IMSEAR Année: 2024 Type: Article