INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The greatest weapon against stress is our ability to choose one thought over another
WILLIAM JAMES
BACKGROUND AND OBJECTIVES:
Stress is unavoidable and integral part of our lives. Thought stopping activity is one of the techniques to manage the stresses. As per the survey conducted by Harris Poll on behalf of APA in August 2017, money and work are the main sources of stress. Workplace stress is more strongly associated with health complaints than financial or family problems. Stress levels seem to be high in India compared to other countries, both developed and emerging, says a survey conducted by Cigna TTK Health Insurance. Most of the studies on work related stress have been done in developed countries. India being a large country with high population quite a large number of people employ in the industrial sector only little efforts have been found in assessing the work stress. There for it worthwhile to investigate and analyze the factors responsible for work stress. The present study attempts to assess the effectiveness of thought stopping activity (progressive muscle relaxation) on stress among industrial workers. Types of study were quantitative experimental approach, quasi experimental research design.
THE OBJECTIVES OF THE STUDY ARE:
To assess the level of stress before thought stopping activity among the industrial worker in selected area of Indore.
To assess the level of stress after thought stopping activity among the industrial worker in selected area of Indore.
To compare the pre test and post test stress of industrial worker in selected area of Indore.
To find the association between post test stress score of industrial worker with their selected demographic variables.
METHODS:
Standardized tool and stress assessment scale questionnaire was used to assess the level of industrial worker stress. Data was collected from industrial area of Indore.
A pilot study was conducted with 8 industrial workers to refine the methodology and find the feasibility of the study. Reliability of tool was tested by Karl Pearson’s Correlation Coefficient formula.
Purposive sampling technique was used to select 80 industrial workers for the main study.
The data collected was analyzed by using descriptive and inferential statistics.
RESULT:
The study was conducted among 80 industrial workers in selected area of Indore Computed t value 2.962 indicated significant differences between before and after thought stopping activity (stress) level score at the level of P value 0.05. The main finding of this study is that the stress level of the workers under the pre- test therapy was high, on the average basis it was 155.163 and after therapy it is 67.320 after post test.
INTERPRETATION AND CONCUSION:
Demographic variable has been analyzed through applied post- test Stress level; it is found that on the all 11 variable the result comes under low level category i.e. 46-115. In the nut shell it can be said that therapy reduced stress level.
KEYWORDS:
Thought stopping activity: Worker: Stress:
Keywords:
Thought stopping activity: Worker: Stress:
Cite Article:
"A STUDY TO ASSESS THE EFFECTIVENESS OF THOUGHT STOPPING ACTIVITY ON STRESS AMONG INDUSTRIAL WORKER IN SELECTED AREAS OG INDORE (M.P.)", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 8, page no.358-463, August-2023, Available :http://www.ijnrd.org/papers/IJNRDTH00068.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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