Description:
<jats:title>Abstract</jats:title>
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<jats:title>Objectives</jats:title>
<jats:p>Practitioners and organizational leaders are calling for practical ways to explain and monitor factors that affect workplace health and productivity. This article builds on the well-established Job Demands-Resources (JD-R) model and proposes an empirically tested ratio that aggregates indicators of job resources and demands. In this study, we calculate a ratio of generalizable job resources and demands derived from the JD-R model and then translate the ratio into the language of company stakeholders.</jats:p>
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<jats:title>Methods</jats:title>
<jats:p>We calculated a ratio based on measures applied in a large stress management intervention study (n = 2983) and report the findings from cross-sectional analysis with health and productivity outcomes from same-source and separate-source data.</jats:p>
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<jats:title>Results</jats:title>
<jats:p>Findings showed a strong and unambiguous increase in health and productivity measures with each step of increase in the ratio. Loss in explained variance due to aggregation of two factors into a single ratio is small for measures which are known to be predicted by both factors simultaneously.</jats:p>
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<jats:title>Conclusions</jats:title>
<jats:p>A translation and visualization of the ratio that is accessible to practitioners and organizational leaders is presented and its use in companies discussed.</jats:p>
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