Predictive validity of the Work Ability Index and its individual items in the general population

Scand J Public Health. 2017 Jun;45(4):350-356. doi: 10.1177/1403494817702759. Epub 2017 Apr 7.

Abstract

Aim: This study assesses the predictive ability of the full Work Ability Index (WAI) as well as its individual items in the general population.

Methods: The Work, Health and Retirement Study (WHRS) is a stratified random national sample of 25-75-year-olds living in Sweden in 2000 that received a postal questionnaire ( n = 6637, response rate = 53%). Current and subsequent sickness absence was obtained from registers. The ability of the WAI to predict long-term sickness absence (LTSA; ⩾ 90 consecutive days) during a period of four years was analysed by logistic regression, from which the Area Under the Receiver Operating Characteristic curve (AUC) was computed.

Results: There were 313 incident LTSA cases among 1786 employed individuals. The full WAI had acceptable ability to predict LTSA during the 4-year follow-up (AUC = 0.79; 95% CI 0.76 to 0.82). Individual items were less stable in their predictive ability. However, three of the individual items: current work ability compared with lifetime best, estimated work impairment due to diseases, and number of diagnosed current diseases, exceeded AUC > 0.70. Excluding the WAI item on number of days on sickness absence did not result in an inferior predictive ability of the WAI.

Conclusions: The full WAI has acceptable predictive validity, and is superior to its individual items. For public health surveys, three items may be suitable proxies of the full WAI; current work ability compared with lifetime best, estimated work impairment due to diseases, and number of current diseases diagnosed by a physician.

Keywords: Self-assessment; WAI; absenteeism; discriminative ability; public health; sick leave; sickness absence; work capacity evaluation.

MeSH terms

  • Absenteeism*
  • Adult
  • Aged
  • Female
  • Humans
  • Male
  • Middle Aged
  • Registries
  • Reproducibility of Results
  • Sick Leave / statistics & numerical data*
  • Surveys and Questionnaires*
  • Sweden
  • Time Factors
  • Work Capacity Evaluation*