Quality-Adjusted Life-Years Lost Due to Physical Inactivity in a US Population With Osteoarthritis.

OBJECTIVE: One-half of the 14 million persons in the US with knee osteoarthritis (OA) are not physically active, despite evidence that physical activity (PA) is associated with improved health. We undertook this study to estimate both the quality-adjusted life-year (QALY) losses in a US population with knee OA due to physical inactivity and the health benefits associated with higher PA levels. METHODS: We used data from the Osteoarthritis Initiative and the Centers for Disease Control and Prevention to estimate the proportions of a US population with knee OA ages ≥45 years that are inactive, insufficiently active, and active, and the likelihood of a shift in their PA level. We used the OA Policy Model, a computer simulation of knee OA, to determine QALYs lost due to inactivity and to measure potential benefits of increased PA (comorbidities averted and QALYs saved). RESULTS: Among 13.7 million persons with knee OA, a total of 7.5 million QALYs, or 0.55 QALYs per person, were lost due to inactivity or insufficient PA relative to activity over their remaining lifetimes. Black Hispanic women experienced the highest losses, at 0.76 QALYs per person. Women of all races/ethnicities had ~20% higher loss burdens than men. According to our model, if 20% of the inactive population were instead active, 95,920 cases of cancer, 222,413 of cardiovascular disease, and 214,725 of diabetes mellitus would potentially be averted, and 871,541 potential QALYs would be saved. CONCLUSION: Physical inactivity leads to substantial QALY losses in a US population with knee OA. Increases in the activity levels in even a fraction of this population may have considerable collateral health benefits, potentially averting cases of cancer, cardiovascular disease, and diabetes mellitus.

Screening for depression in chronic obstructive pulmonary disease.

Depression and chronic obstructive pulmonary disease (COPD) are major causes of disability. Identifying COPD patients at risk for depression would facilitate the alleviation of an important comorbidity conferring additional risk for poor outcomes. The purpose of this study was to determine the utility of a brief screening measure, the 15-item Geriatric Depression Scale (GDS-15), in detecting the mood disorders in persons with COPD. This is a cross-sectional study of 188 persons with COPD, stratified by age (65 and older versus less than 65) and COPD severity using Global Initiative for Chronic Obstructive Lung Disease (GOLD) staging. Screening cut-points were empirically derived using threshold selection methods and receiver operating characteristic (ROC) curves were estimated. The GDS-15 was used as a screening measure and diagnoses of Major Depressive Disorder (MDD) or other mood disorders were determined using a "gold standard" standardized structured clinical interview. Of the 188 persons with COPD, 25% met criteria for any mood disorder and 11% met criteria for MDD. Optimal threshold estimations suggested a GDS cut score of 5, which yielded adequate sensitivity and specificity in detecting MDD (81% and 87%, respectively) and correctly classified 86% of participants. To detect the presence of any mood disorder, a cut score of 4 was suggested yielding sensitivity and specificity of 67% and 82%, respectively; correctly classifying 79%. These results suggest that mood disorders are relatively common among persons with COPD. The GDS-15 is a useful screening measure to identify patients at risk for depression.