1874 Purpose. For potential screening purposes, we asked whether fitness outcomes for leg work (W; watts) and oxygen uptake (VO2; ml/min) from exercise testing (& 6-min walk distance-data not shown) could be adequately predicted from several self-reported quality of life (QL) instruments and other anthropometry. Methods. N=60 patients, aged 67.1±7.7 yrs (76% male) with moderate to severe COPD were evaluated. Pearson correlations & multiple regression models were used to relate responses W & VO2 to potential predictors, including outcomes from bioelectrical impedance analysis (BIA), selected skinfolds, nutritional anthropometry (Block, 1992), and other demographics. QL scores, each with published performance indices, included the Duke Activity Status Index (DASI), Shortness of Breath Questionnaire (SOBQ), Quality of Well-Being (QWB), and a Sickness Inventory Profile (SIP). Subscores were also examined for QWB & SIP. The R2 selection criterion was used to suggest optimal predictors. Significance for all tests was declared for p<0.05. Results for W. W significantly correlated with DASI (r=0.30), SOBQ (r=−0.32), SIP (r=−0.30), body weight (WT; r=0.44), body mass index (BMI; r=0.26), and was nearly significant for the SIP subscores for mobility control (MC; r=−0.25, p<0.07) and psychological autonomy (PA; r=−0.25, p<0.07). Limited to QL predictors, SIP was best (R2=0.11). Individual SIP & QWB subscores were relatively poor (R2<0.08). Models with 5-6 variables, several including WT, BMI, and Block protein & carbohydrate intakes, explained 62-66% of W variation. Results for VO2. VO2 was significantly correlated with WT, BMI, and PA (r= −0.30). Overall QL scores were poor individual predictors (R2<0.05). Models with 4-5 predictors (WT, DASI, Block calories & carbohydrates) explained 67-72% of VO2 variation. Conclusions. For potential non-invasive screening of COPD patients for lower-body functional capacity, it appears sufficient to measure HT, WT, DASI, & Block. This approach appears cost-effective, although Block is far more difficult to administer and score than DASI. More specific instruments, perhaps emphasizing psychological autonomy and mobility control, appear possible. Supported by Agency for Health Care Policy Research R01-HS08774 & HS08774-01A251