Demographic, clinical, and sociocognitive determinants related to physical activity and dietary intake in patients with ovarian cancer: A cross-sectional study.

ABSTRACT

OBJECTIVE: To study physical activity and dietary intake among patients with ovarian cancer and to examine which demographic, clinical, and sociocognitive determinants are associated with these behaviours. METHODS: This cross-sectional study included 139 patients with ovarian cancer scheduled for (neo)adjuvant chemotherapy. Physical activity was measured with the Physical Activity Scale for the Elderly questionnaire (PASE). Dietary intake was measured with a questionnaire assessing energy and protein intake and a questionnaire assessing adherence to the World Cancer Research Fund (WCRF) lifestyle recommendations. Demographic, clinical, and sociocognitive (e.g., self-efficacy) determinants of physical activity and dietary intake were examined using backward linear regression analyses. RESULTS: Patients reported a median PASE score of 50 (IQR 24-94), a mean ± SD dietary intake of 1831 ± 604 kcal/day and 76 ± 27 g protein/day. Patients adhered to 3 out of 5 WCRF lifestyle recommendations. The absence of comorbidities, lower physical outcome expectations, and higher cancer specific outcome expectations were independently associated with higher physical activity levels. Higher age, lower cancer specific outcome expectations, and higher diet-related self-efficacy were significantly associated with adhering to more WCRF lifestyle recommendations, whilst no variables associated with total caloric or protein intake were identified. CONCLUSIONS: Patients with ovarian cancer have low physical activity levels and a suboptimal diet, particularly low fruit and vegetable consumption and dietary fibre intake. Interventions aiming to improve physical activity and dietary intake could focus on increasing self-efficacy and outcome expectations, and should consider age and comorbidity as factors that may impact behaviour. TRIAL REGISTRATION Netherlands Trial Registry NTR6300.