Little attention has been given to selecting a set of variables that define the dimensions of health or illness as a totality. This could have utility, particularly in the field of aging, for better assessment of the person's residual capacity and proper selection of treatments or services. Generally, scales are assembled to measure discrete areas of physical, mental, and social functioning without regard to any overlap between scales or items in the over-all association with some dependent variable. Reducing these to the ones that uniquely contribute to outcome is a desirable research goal. Even within the area of physical health, there are dimensions such as impairment and disability (functional status). Impairment is usually defined as organic pathology judged by a physician, whereas disability or functional status can be determined through observation of the person's self-care ability in such areas as eating, dressing, toileting, bathing, and ambulation. However, some people who are quite impaired continue to function at rather high levels and some nor so organically impaired may exhibit poor functional states. Most medical research has relied on measurement of functional status (since these ratings are based on more objective observation) rather than on estimates of degree of impairment to organ systems. Yet, there seems to be justification for both types of assessment. The purpose of this study was to determine the relationship between these two areas in the prediction of mortality. Males (n = 714) averaging 67 yr. were rated by their physicians in the hospital on a 13-item impairment scale (1) and by a ward nurse on a 16-item functional status scale (2), just before their transfer to community nursing homes. Follow-up 6 mo. later showed that 221 patients (31%) had died. Both stepwise multiple regression and stepdown discriminant function analyses were used to identify the predictors in terms of unique contribution and accuracy in classification. Scales were first analysed separately and then all 29 items were combined. Although 8 functional items discriminated between living and dead at a univariate level. only 5 uniquely predicted mortality. All 16 functional scores had an accuracy in classification of 68%. Five of the 13 impairment items were statistically significant at a univariate level and also contributed significantly as predictors. All 13 impairment items had an accuracy in classification of 74%. Using the combined 29 items, 6 variables (4 impairment and 2 function) emerged as accounting significantly for 80% of the predictable variance in mortality and achieving an accuracy in classification of 77%. At the .O1 level, vascular, respiratory, and neurological impairment and need for assistance with earing were identified. Degree of mental depression and impairment ratings on hepatic system were associated with mortality (P < .05). Our data suggest that combining selected functional status ratings with estimates of impairment led to better classification of clinical condition and predictors of outcome.