What can you determine from the following table from the stu…
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Whаt cаn yоu determine frоm the fоllowing tаble from the study “Physical Inactivity and Short-Term All-Cause Mortality in Adults with Chronic Disease”? Table 3. Models of Probability of Mortality During the 42-Month Follow-Up* Variable Model 1 Model 2 Model 3 Model 4 Age (in years) centered Raw coefficient estimate 0.07 0.06 0.07 0.07 MRR (1-SD change) 2.12† 2.04† 2.19† 2.20† Female Raw coefficient estimate −0.51 −0.44 −0.45 −0.45 MRR 0.60† 0.64† 0.64† 0.64† Charlson score ≥3‡ Raw coefficient estimate 1.24 1.23 1.22 1.22 MRR 3.45† 3.42† 3.40† 3.40† Impaired§ Raw coefficient estimate 0.54 0.53 0.62 0.62 MRR 1.71† 1.69† 1.86† 1.87† Current smoker || Raw coefficient estimate 0.63 0.61 0.71 0.71 MRR 1.88† 1.84† 2.04† 2.04† PA days 0 Raw coefficient estimate 0.76 - - - MRR 2.15† - - - 1–3 Raw coefficient estimate - −0.85 - - MRR - 0.43† - - ≥4 Raw coefficient estimate - −0.77 - - MRR - 0.46† - - Godin units ¶ 1–12 Raw coefficient estimate - - 0.70 - MRR - - 2.01† - 13–25 Raw coefficient estimate - - - −0.72 MRR - - - 0.49† 26–280 Raw coefficient estimate - - - −0.68 MRR - - - 0.51† −2 Log likelihood 2654.81 2651.88 2661.28 2661.25 df 7 8 7 8 *Models 1 and 2 include an indicator variable for missing data on days of physical activity (PA), while models 3 and 4 include an indicator variable for missing data on the Godin score. Each type of model is further described in the “Results” section of the text. There were 1832 subjects in each model. MRR indicates mortality risk ratio; and ellipses, data not applicable. † P