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 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.
"Mental Health status of Corporate workers: A cross-sectional Survey in Assam", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 12, page no.b404-b410, December-2022, Available :http://www.ijnrd.org/papers/IJNRD2212142.pdf
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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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