Excess body weight at diagnosis and weight gain after breast cancer are associated with poorer long-term prognosis. This study investigated the effects of a lifestyle intervention on body weight and other health outcomes influencing long-term prognosis in overweight women (BMI > 25.0 kg/m(2)) recovering from early-stage (stage I-III) breast cancer. A total of 90 women treated 3-18 months previously were randomly allocated to a 6-month exercise and hypocaloric healthy eating program (n = 47, aged 55.6 ± 10.2 year) or control group (n = 43, aged 55.9 ± 8.9 year). Women in the intervention group received three supervised exercise sessions per week and individualized dietary advice, supplemented by weekly nutrition seminars. Body weight, waist circumference, waist/hip ratio [WHR], cardiorespiratory fitness, blood biomarkers associated with breast cancer recurrence and cardiovascular disease risk, and quality of life (FACT-B) were assessed at baseline and 6 months. Three-day diet diaries were used to assess macronutrient and energy intakes. A moderate reduction in body weight in the intervention group (median difference from baseline of -1.09 kg; IQR -0.15 to -2.90 kg; p = 0.07) was accompanied by significant reductions in waist circumference (p < 0.001), WHR (p = 0.005), total (p = 0.021) and saturated fat (p = 0.006) intakes, leptin (p = 0.005), total cholesterol (p = 0.046), and resting diastolic blood pressure (p = 0.03). Cardiopulmonary fitness (p < 0.001) and FACT-B quality of life (p = 0.004) also showed significant improvements in the intervention group. These findings suggest that an individualized exercise and a hypocaloric healthy eating program can positively impact upon health outcomes influencing long-term prognosis in overweight women recovering from early-stage breast cancer.

The SFVS promoted an increase in fruit intake after three months. At seven months the effect remained significant but reduced, and it returned to baseline in year 2 when pupils were no longer part of the scheme. There was a small impact on the intake of some nutrients across the children surveyed.

IntroductionMany women experience emotional distress, depression and anxiety after a diagnosis of breast cancer. Psychological stress and depression have been associated with hypothalamic-pituitary-adrenal (HPA) axis dysregulation that may adversely affect immune system functioning and impact upon survival. This study investigated the effects of a lifestyle intervention on indices of psychological health status, HPA axis regulation and immune function in overweight women recovering from early-stage breast cancer treatment.MethodsA total of 85 women treated for breast cancer 3 to 18 months previously were randomly allocated to a 6-month exercise and hypocaloric healthy eating program plus usual care or usual care alone (control group). Women in the intervention group received three supervised exercise sessions per week and individualized dietary advice, supplemented by weekly nutrition seminars. Depressive symptoms (Beck Depression Inventory version II: BDI-II), perceived stress (Perceived Stress Scale: PSS), salivary diurnal cortisol rhythms; inflammatory cytokines (IL-6 and Tumor necrosis factor-α), leukocyte phenotype counts, natural killer (NK) cell cytotoxicity and lymphocyte proliferation following mitogenic stimulation were assessed at baseline and 6-month follow up.ResultsCompared with the control group, the intervention group exhibited a reduction in depressive symptoms (adjusted mean difference, 95% confidence intervals (95% CI): −3.12, −1.03 to −5.26; P = 0.004) at the 6-month follow-up but no significant decrease in PSS scores (−2.07, −4.96 to 0.82; P = 0.16). The lifestyle intervention also had a significant impact on diurnal salivary cortisol rhythm compared with usual care alone, as evidenced by an increase in morning salivary cortisol at the 6-month follow-up (P <0.04), indicating a change in HPA axis regulation. Women in the control group had higher total leukocyte, neutrophil and lymphocyte counts in comparison to the intervention group at the 6-month follow-up (P ≤0.05), whereas there was no difference in NK cell counts (P = 0.46), NK cell cytotoxicity (P = 0.85) or lymphocyte proliferation responses (P = 0.11) between the two groups.ConclusionOur results show that the lifestyle intervention resulted in a reduction in depressive symptoms and a normalisation of HPA axis regulation. Such changes could have important implications for long-term survival in women recovering from early-breast cancer treatment.Trial registrationCurrent Controlled Trials: ISRCTN08045231

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Walking and the TPB 2 The Theory of Planned Behaviour predicts self-reports of walking, but does not predict step count ABSTRACT:Objectives: This paper compares multiple measures of walking in two studies, and in the second study, compares how well Theory of Planned Behaviour (TPB) constructs perform in predicting these different measures. Methods:In study one, forty-one participants wore a New Lifestyles NL-2000 pedometer for one week. Subsequently, participants completed a questionnaire containing measures of the TPB constructs and two self-report measures of walking, followed by two interview measures of walking. For study two, 200 RAF trainee aircraftsmen wore pedometers for two weeks. At the end of each week participants completed the questionnaire and interview measures of walking.Results: Both studies found no significant association between questionnaire measures of walking and pedometer measures. In study one, the interview measures produced significant, large correlations with the pedometer measure, but these relationships were markedly weaker in the second study. TPB variables were found to explain 22% of variance in intention to walk in study one and 45% of the variance in study two. In study two, prediction of subsequent measures of behaviour was found to be weak, except when using a single-item measure of walking. Conclusions:Recall of walking is poor and accurate measurement by self-report is problematic. Although the TPB predicts intentions to walk well, it does not predict actual amount of walking, as assessed by pedometer. Possible reasons for these findings include the unique nature of walking as an activity primarily used to facilitate higher order goals. The use of single-item measures may exaggerate the effectiveness of the TPB model for walking, and possibly other forms of physical activity.