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JPMPH : Journal of Preventive Medicine and Public Health



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2 "Surveys and questionnaires"
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Reliability of a Newly Developed Tool to Assess and Classify Work-related Stress (TAWS-16) for Indian Workforce
Gautham Melur Sukumar, Runalika Roy, Mariamma Philip, Gururaj Gopalkrishna
J Prev Med Public Health. 2023;56(5):407-412.   Published online August 19, 2023
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  • 90 Download
AbstractAbstract AbstractSummary PDF
Work stress is associated with non-communicable diseases, increased healthcare costs, and decreased work productivity among employees in the information technology sector. There is a need for regular work-stress screening among employees using valid and reliable tools. The Tool to Assess and Classify Work Stress (TAWS-16) was developed to overcome limitations in existing stress assessment tools in India. This study aimed to test the reliability of TAWS-16 in a sample of managerial-supervisory employees.
This observational reliability study included data from 62 employees. Test-retest and inter-method reliability were investigated using a TAWS-16 web application and interview by telephone, respectively. Kappa values and intra-class correlation coefficients were calculated. Internal consistency was assessed through Cronbach’s alpha.
For both test-retest and inter-method reliability, the agreement for both work-related factors and symptoms suggestive of work stress exceeded 80%, and all kappa values were 0.40 or higher. Cronbach’s alpha for test-retest and inter-method reliability was 0.983 and 0.941, respectively.
TAWS-16 demonstrated acceptable reliability. It measured stressors, coping abilities, and psychosomatic symptoms associated with work stress. We recommend using TAWS-16 to holistically identify work stress among employees during periodical health check-ups in India.
Key Message
The study assessed test-retest and inter-method reliability of Tool to Assess Work Stress (TAWS – 16) developed by Centre for Public Health, National Institute of Mental Health and Neurosciences (NIMHANS) on 62 employees in Bengaluru, India. Kappa statistics, Intra-class correlation coefficient (ICC) and Cronbach’s alpha were calculated. TAWS – 16 demonstrated acceptable reliability, good internal consistency and can be used to identify work stress among employees during periodical health check-ups in Indian setting.
Exploratory Study of Dimensions of Health-related Quality of Life in the General Population of South Korea
Seon-Ha Kim, Min-Woo Jo, Minsu Ock, Sang-il Lee
J Prev Med Public Health. 2017;50(6):361-368.   Published online November 2, 2017
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  • 229 Download
  • 13 Crossref
AbstractAbstract PDFSupplementary Material
This study aimed to explore dimensions in addition to the 5 dimensions of the 5-level EQ-5D version (EQ-5D-5L) that could satisfactorily explain variation in health-related quality of life (HRQoL) in the general population of South Korea.
Domains related to HRQoL were searched through a review of existing HRQoL instruments. Among the 28 potential dimensions, the 5 dimensions of the EQ-5D-5L and 7 additional dimensions (vision, hearing, communication, cognitive function, social relationships, vitality, and sleep) were included. A representative sample of 600 subjects was selected for the survey, which was administered through face-to-face interviews. Subjects were asked to report problems in 12 health dimensions at 5 levels, as well as their self-rated health status using the EuroQol visual analogue scale (EQ-VAS) and a 5-point Likert scale. Among subjects who reported no problems for any of the parameters in the EQ-5D-5L, we analyzed the frequencies of problems in the additional dimensions. A linear regression model with the EQ-VAS as the dependent variable was performed to identify additional significant dimensions.
Among respondents who reported full health on the EQ-5D-5L (n=365), 32% reported a problem for at least 1 additional dimension, and 14% reported worse than moderate self-rated health. Regression analysis revealed a R2 of 0.228 for the original EQ-5D-5L dimensions, 0.200 for the new dimensions, and 0.263 for the 12 dimensions together. Among the added dimensions, vitality and sleep were significantly associated with EQ-VAS scores.
This study identified significant dimensions for assessing self-rated health among members of the general public, in addition to the 5 dimensions of the EQ-5D-5L. These dimensions could be considered for inclusion in a new preference-based instrument or for developing a country-specific HRQoL instrument.


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JPMPH : Journal of Preventive Medicine and Public Health