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Original Article
Development of a Wellness Index for Workers
Moon-Jong Choi, Chang-Sik Son, Jinsu Kim, Yeongmi Ha
Journal of Korean Academy of Nursing 2016;46(1):69-78.
DOI: https://doi.org/10.4040/jkan.2016.46.1.69
Published online: February 29, 2016

1Medical Device Development Center, DGMIF, Daegu, Korea.

2Wellness Convergence Research Center, DGIST, Daegu, Korea.

3College of Business Administration, Gyeongsang National University, Jinju, Korea.

4College of Nursing·Institute of Health Sciences, Gyeongsang National University, Jinju, Korea.

Address reprint requests to: Ha, Yeongmi. College of Nursing·Institute of Health Sciences, Gyeongsang National University, 816 beon-gil 15, Jinju-daero, Jinju 52727, Korea. Tel: +82-55-772-8253, Fax: +82-55-772-8222, yha@gnu.ac.kr
• Received: January 21, 2015   • Revised: February 6, 2015   • Accepted: October 17, 2015

© 2016 Korean Society of Nursing Science

This is an Open Access article distributed under the terms of the Creative Commons Attribution NoDerivs License. (http://creativecommons.org/licenses/by-nd/4.0/) If the original work is properly cited and retained without any modification or reproduction, it can be used and re-distributed in any format and medium.

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  • Purpose
    The purpose of this study was to develop a wellness index for workers (WIW) and examine the validity and reliability of the WIW for assessing workers' wellness.
  • Methods
    The developmental process for the instrument included construction of a conceptual framework based on a wellness model, generation of initial items, verification of content validity, preliminary study, extraction of final items, and psychometric testing. Content validity was verified by 4 experts from occupational health nursing and wellness disciplines. The construct validity, convergent validity and discriminant validity were examined with confirmatory factor analysis. The reliability was examined with Cronbach's alpha. The participants were 494 workers from two workplaces.
  • Results
    Eighteen items were selected for the final scale, and the results of the confirmatory factor analysis supported a five-factor model of wellness with acceptable model fit, and factors named as physical · emotional · social · intellectual · occupational wellness. The convergent and discriminant validity were also supported. The Cronbach's alpha coefficient was .91.
  • Conclusion
    The results indicate that the WIW is a valid and reliable instrument to comprehensively assess workers' wellness, and to provide basic directions for developing workplace wellness program.
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Table 1

General Characteristics of Participants (N =494)

jkan-46-69-i001.jpg
Table 2

Goodness of Fit Indices for Wellness Index using Confirmatory Factor Analysis

jkan-46-69-i002.jpg

CMIN/DF=Chi-square minimum/degree of freedom; GFI=Goodness of fit index; NFI=Normal fit index; CFI=Comparative fit index; TLI=Turker-Lewis index; RMSEA=Root mean square error of approximation.

Table 3

Confirmatory Factor Analysis and Final Items for WIW

jkan-46-69-i003.jpg

AVE=Average variance extracted; CR=Composite reliability; WIW=Wellness index for workers.

Table 4

Correlations between the Five Dimensions of Wellness

jkan-46-69-i004.jpg

AVE=Average variance extracted.

Table 5

Reliability of Five Dimensions of Wellness

jkan-46-69-i005.jpg

Figure & Data

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        Development of a Wellness Index for Workers
        J Korean Acad Nurs. 2016;46(1):69-78.   Published online February 29, 2016
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      Development of a Wellness Index for Workers
      Development of a Wellness Index for Workers

      General Characteristics of Participants (N =494)

      Goodness of Fit Indices for Wellness Index using Confirmatory Factor Analysis

      CMIN/DF=Chi-square minimum/degree of freedom; GFI=Goodness of fit index; NFI=Normal fit index; CFI=Comparative fit index; TLI=Turker-Lewis index; RMSEA=Root mean square error of approximation.

      Confirmatory Factor Analysis and Final Items for WIW

      AVE=Average variance extracted; CR=Composite reliability; WIW=Wellness index for workers.

      Correlations between the Five Dimensions of Wellness

      AVE=Average variance extracted.

      Reliability of Five Dimensions of Wellness

      Table 1 General Characteristics of Participants (N =494)

      Table 2 Goodness of Fit Indices for Wellness Index using Confirmatory Factor Analysis

      CMIN/DF=Chi-square minimum/degree of freedom; GFI=Goodness of fit index; NFI=Normal fit index; CFI=Comparative fit index; TLI=Turker-Lewis index; RMSEA=Root mean square error of approximation.

      Table 3 Confirmatory Factor Analysis and Final Items for WIW

      AVE=Average variance extracted; CR=Composite reliability; WIW=Wellness index for workers.

      Table 4 Correlations between the Five Dimensions of Wellness

      AVE=Average variance extracted.

      Table 5 Reliability of Five Dimensions of Wellness


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