The mean age of participants was 61 years (SD = 12). Twenty-four participants (49%) were diagnosed with breast cancer and 14 (28%) had metastatic disease. Twenty-four patients were undergoing current treatment (48%). The average ACCI score was 2.8 (SD = 1.9) (Table 1).
As more than half of the participants did not record any MVPA in a bout of 10 minutes, total MVPA over 6 days was used as the dependent variable. Bivariate correlations between the amount of MVPA and demographic, physical, and psychological variables are presented in Table 3.
Following stepwise variable selection, 6 independent variables were included in the final multiple regression model (body mass index, cancer type, physical performance, treatment status, walking capacity, and anxiety score) (Table 4). Multicollinearity was not evident in the model (all VIFs <2.0). For comparative purposes, the estimated β values later refer to standardized coefficients. The unstandardized regression coefficients and associated confidence intervals can be found in Table 4 (for the log-transformed dependent variable), as too can the corresponding estimates of the percent change on MVPA per unit change of the independent variable. The multiple linear regression model found that increased walking capacity had the strongest independent association with MVPA (β = 0.560, P < .001), followed by better physical performance (β = 0.251, P = .017), having a breast cancer diagnosis (β = 0.245, P = .005), lower body mass index (β = −0.244, P = .014), and increased anxiety (β = 0.244, P = .007). The model accounted for more than 70% of the variance in MVPA (R 2 = 74.2%, R 2-adj = 70.5%). Other psychosocial and demographic variables were not significantly associated with MVPA.
We thank Melissa Reed for her contribution to data collection and the staff and participants at Eastern Health Oncology Rehabilitation Program for their support.
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