Depression and survival of glioma patients: A systematic review and meta-analysis.

INTRODUCTION: There is currently a lack of a well-formed consensus regarding the effects of depression on the survival of glioma patients. A more thorough understanding of such effects may better highlight the importance of recognizing depressive symptoms in this patient population and guide treatment plans in the future. OBJECTIVE: The aim of this meta-analysis was to study the effect of depression on glioma patients' survival. METHODS: A meta-analysis was conducted according to the PRISMA guidelines. PubMed, Embase, and Cochrane databases were searched for studies that reported depression and survival among glioma patients through 11/06/2016. Both random-effects (RE) and fixed-effect (FE) models were used to compare survival outcomes in glioma patients with and without depression. RESULTS: Out of 619 identified articles, six were selected for the meta-analysis. Using RE model, the various measures for survival outcomes displayed worsened outcomes for both high and low-grade glioma patients with depression compared to those without depression. For binary survival outcomes, the overall pooled risk ratio for survival was 0.70 (95% CI: 0.47, 1.04; 6 studies; I2 = 54.9%, P-heterogeneity = 0.05) for high grade gliomas (HGG) and 0.28 (95% CI: 0.04, 1.78; I2 = 0%, P-heterogeneity = 1.00; one study) for low grade gliomas (LGG) was. A sub-group analysis in the HGG group by depression timing (pre- versus post-operative) revealed no differences between depression and survival outcomes (P-interaction = 0.47). For continuous survival outcomes, no statistically significant difference was found among the high and low-grade glioma groups (P-interaction = 0.31). The standardized mean difference (SMD) in survival outcomes was -0.56 months (95%CI: -1.13, 0.02; 4 studies, I2 = 89.4%, P-heterogeneity < 0.01) for HGG and -1.69 months (95%CI: -3.26, -0.13; one study; I2 = 0%, P-heterogeneity = 1.00) for LGG. In patients with HGG, the pooled HR of death also showed a borderline significant increased risk of death among depressive patients (HR 1.42, 95% CI: 1.00, 2.01). Results using the FE model were not materially different. CONCLUSIONS: Depression was associated with significantly worsened survival regardless of time of diagnosis, especially among patients with high-grade glioma.

Physical activity patterns and prevention of weight gain in premenopausal women.

BACKGROUND: Studies of the association between physical activity (PA) and weight maintenance have been inconsistent. METHODS: We prospectively examined the association between PA patterns and prevention of weight gain among 46 754 healthy premenopausal women, aged 25-43 years in 1989. Participants reported their PA and weight in 1989 and 1997. The primary outcome was gaining >5% of baseline weight by 1997 (62% of the population). RESULTS: Compared with women who maintained <30 min d(-1) of total discretionary activity over 8 years, women were less likely to gain weight if they sustained 30+ min d(-1) (odds ratio (OR)=0.68, 95% confidence interval (CI) 0.64-0.73) or increased to 30+ min d(-1) in 1997 (OR=0.64, 95%CI=0.60-0.68). Among women whose only reported activity was walking, risk of gaining weight was lower in those who sustained 30+ min d(-1) over 8 years (OR=0.66, 95%CI=0.49-0.91), and brisk walking pace independently predicted less weight gain. For a 30 min d(-1) increase between 1989 and 1997, jogging/running was associated with less weight gain than brisk walking or other activities. Greater duration of PA was associated with progressively less weight gain, but even an 11-20 min d(-1) increase was beneficial; the benefits appeared stronger among those who were initially overweight. Sedentary behavior independently predicted weight gain. CONCLUSIONS: Sustained PA for at least 30 min d(-1), particularly if more intense, is associated with a reduction in long-term weight gain, and greater duration is associated with less weight gain. Sedentary women of any baseline weight who increase their PA will benefit, but overweight women appear to benefit the most.