Title | Predictive validity of the Work Ability Index and its individual items in the general population. |
Publication Type | Journal Article |
Year of Publication | 2017 |
Authors | Lundin, A, Leijon, O, Vaez, M, Hallgren, M, Torgén, M |
Journal | Scandinavian Journal of Public Health |
Volume | 45 |
Issue | 4 |
Pagination | 350-356 |
ISSN Number | 1651-1905 |
Keywords | Older Adults, Self-reported health |
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. |
DOI | 10.1177/1403494817702759 |
Alternate Journal | Scand J Public Health |
Citation Key | 9001 |
PubMed ID | 28385066 |