Iris Kanera

38 Chapter 2 Correlates of lifestyle behaviors and adherence to recommendations The results of the regression analyses to explain lifestyle behaviors and adherence to recommendations are presented in Table 2.5 and Table 2.6. Alcohol consumption Being male ( p = .033) and lower self-efficacy toward adherence to the alcohol recommendation ( p = .019) were correlated to a higher alcohol consumption. Less problems of insomnia ( p = .058) contributed to a lesser extent to a higher alcohol consumption. Before intention was added to the model, higher levels of attitude and lower self-efficacy contributed significantly. Vegetable consumption Significant correlates of a higher vegetable consumption were: 1) a stronger intention toward adhering to the vegetable recommendation ( p = .000), 2) higher scores on positive mental adjustment ( p = .022), 3) a longer period since completion of primary treatment ( p = .032), and, to a smaller extent, lower age ( p = .067). A higher attitude and self-efficacy were significantly correlated with vegetable consumption before intention was added to the model. Fruit consumption A stronger intention toward adherence to the fruit recommendationwas the only significant correlate in explaining a higher fruit consumption ( p = .000). Before intention was added to the model, lower levels of depressive symptoms, and higher self-efficacy contributed significantly. Physical activity Significant correlates in explaining a higher amount of PA were 1) younger ages ( p = .028), 2) higher scores on self-efficacy towards adherence to the PA recommendation ( p = .005), 2) more pain ( p = .039), more fatigue ( p = .041). Before intention was added to the model, higher levels of attitude and self-efficacy also contributed significantly. Not smoking 1) A more positive attitude toward not smoking ( p = .003), 2) higher self-efficacy toward not smoking ( p = .002), 3) lower levels of anxiety ( p = .015), and 4) better social functioning ( p = .038) were significantly correlated to not smoking among (former) smokers. Lower scores on global health/QoL ( p = .052), lower scores on cognitive functioning ( p = .055), and not having colon cancer ( p = .053) contributed to a smaller extent.

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