Paper Title
Mental Health status of Corporate workers: A cross-sectional Survey in Assam
Article Identifiers
Authors
CHAYAN ADAK , PANCHALI AICH
Keywords
Depression, Anxiety, Stress, Mental disorder, Well-being
Abstract
The practice of mental health has been on rise in recent times and truly it’s a very apposite in present scenarios. Although this practice is relatively elevated in health and education sector but it is commonly found that the mental health condition of corporate workers are mostly neglected. Currently, this study was aimed to investigate the present status of mental health of corporate workers in relation with depression, anxiety and stress. A cross-sectional survey procedure was implemented with the help of convenient sampling technique. Major findings appeared with some very important suggestions and yielded that relationship with family was a key indicator of good and poor mental health conditions and it was statistically significant (p<0.01). Gender differences found on stress (p<0.05) and sleeping pattern found to be a significant factor on anxiousness (p<0.05). No significant differences were found in depression, anxiety and stress on the basis of work status.
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How To Cite
"Mental Health status of Corporate workers: A cross-sectional Survey in Assam", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 12, page no.b404-b410, December-2022, Available :https://ijnrd.org/papers/IJNRD2212142.pdf
Issue
Volume 7 Issue 12, December-2022
Pages : b404-b410
Other Publication Details
Paper Reg. ID: IJNRD_184941
Published Paper Id: IJNRD2212142
Downloads: 000121190
Research Area: Arts
Country: KOLKATA, WEST BENGAL, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2212142.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2212142
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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
Publisher: IJNRD (IJ Publication) Janvi Wave
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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