| Literature DB >> 36060713 |
Anirban Pal1, Purnava Mukhopadhyay2, Soma Datta3, Nidhi Dawar Pal4.
Abstract
Background: The Indian population is suffering from a high prevalence of mental stress and the situation has been worsened by the COVID-19 pandemic. Mindfulness, which can also be conducted online, has been used as a stress-relieving therapy in the Western world. There is not much experience with mindfulness in the Indian population. The COVID-19 pandemic demands the development of alternative therapies which can reach out to the masses at a minimal cost, avoiding direct personal contact. The researchers wanted to explore the potential of mindfulness as a stress-relieving therapy. Aim: To note any improvement in perceived stress of the participants compared to the controls.Entities:
Keywords: Alternative therapy; COVID19 pandemic; mindfulness; stress
Year: 2022 PMID: 36060713 PMCID: PMC9435616 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_4_21
Source DB: PubMed Journal: Indian J Psychiatry ISSN: 0019-5545 Impact factor: 2.983
Figure 1Recruitment of study subjects
Age, Sex distribution and PSS scores
| Pre-Session | ||||
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| Group M ( | Group C ( | Group M vs C | Result | |
| Age (years) | 42.73 (10.44) | 42.38 (10.78) | Welch’s | |
| Mean (SD) | ||||
| Sex | Male=13 (28.89) | Male=12 (26.67) | ||
| Number (%) | Female=32 (71.11) | Female=33 (73.33) | ||
| PSS Scores | 22.71 (5.01) | 23.51 (4.64) | Welch’s | |
| Mean (SD) | ||||
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| PSS Scores | 15.73 (4.62) | 23.06 (5.02) | Welch’s | |
| Mean (SD) | ||||
Age and sex distribution of participants along with pre-session and post-session PSS scores including chi-values and t-values and significance between group M and group C. Initially, 45 participants were enrolled, three persons in group M and seven persons in group C dropped out of the study. M = Mindfulness group, C = Control group, SD = Standard deviation, n = number of participants in that particular group
Figure 2Representation of mean PSS scores pre and post session of group M and group C
Figure 3Qualitative data analysis