Breast cancer was the most common cancer in women worldwide. The aims of the current systematic review and meta-analysis are: (i) to systematically examine the effects of exercise interventions on mental wellbeing; (ii) to examine the specific effect of the type of supervised exercise and its intensity, volume and frequency on mental wellbeing; and (iii) to explore which interventions are most effective in mental wellbeing among women with breast cancer during active treatment. An electronic literature search was performed using MEDLINE (via PubMed), Embase (Ovid), and Web of Science, we identified 175 full-text articles. The 57 publications included data from 6988 participants, age ranging from 18 to 78 years (weighted mean: 50.85 years). Compared with the control conditions, exercise training programs were associated with significant reductions in anxiety (d = −0.22, I² = 53.0%), depression (d = −0.24, I² = 66.6%), and fatigue (d = −0.47, I² = 69.8%), as well as increases in body image (d = 0.27, I² = 69.2%) and quality of life (overall, d = 0.46, I² = 71.6%; emotional function, d = 0.33, I² = 65.7%; and FACT-B, d = 0.60, I² = 76.2%). There were a variety of frequencies, intensities, and durations of supervised exercise programs reported in the included meta-analytic approach. In addition, we found that concomitant concurrent training, at moderate-to-vigorous intensity, and with a volume ≥50 min/week had benefits on a number of health outcomes, such as fatigue, depression, and quality of life measure by the FACT-B instrument. These findings have important implications for healthcare providers and multidisciplinary teams involved in mental health management in cancer patients during active treatment.

This article aims to evaluate the sports performance of teams that have participated in the Union of European Football Associations (UEFA) Champions League (UCL) during the last 10 seasons (2004-2005 to 2013-2014). Technical efficiency is estimated using well-known data envelopment analysis (DEA) approaches and a bootstrapped DEA model. To solve the problem of measuring sporting results as output in knockout competitions, we propose the use of the coefficients applied by the UEFA from UCL revenue distribution. The results obtained show first that there is a high level of inefficiency in UCL over the period studied: Only 10% of the teams seem to be efficient. Also, the teams have many problems in maintaining their efficiency during the seasons. Second, the champion is always efficient. Third, we identify two sources of inefficiency: waste of sports resources and the selection of sporting tactics. Finally, from a methodological perspective, the output measure proposed seems to be suitable to represent reliably the sports results achieved by clubs in this qualifying competition type. Furthermore, our results are robust when applying alternative estimation methods. Regarding the results, some management implications are discussed and suggestions are made to boost the efficiency in inefficient clubs.

The football club market is changing fast in the social media era. In this global market, clubs must maintain or improve fans’ attendance at the stadium; simultaneously, they need, more than ever, to take care of social media. The aim of this article is to test and discuss a comprehensive approach to analysing the performance of football clubs regarding their multiplicity of objectives. We analyse the efficiency of English Premier League (EPL) clubs during three seasons (2012/13–2014/15). The methodologies employed are data envelopment analysis (DEA) and a bootstrapped DEA model. The input is the market value of the squad, and the outputs are sports results, total revenue, the ratio of stadium utilization during the season and an index of social media impact. The results are robust to alternative estimation methods and indicate that EPL clubs still have a margin for improving their overall efficiency, mainly the medium clubs. The analysis of football clubs’ performance with the proposed comprehensive approach provides a useful tool to help managers with evaluation and feedback considering the actual context of the market. The approach brings closer the opportunity to design appropriate strategies to improve clubs’ efficiency as well as competition policies.

There is a controversy on sport performance literature about what type of inputs might explain more deeply the performance of sports clubs (inputs specification controversy). By one side, several papers have analysed sports teams’ performance using the match-related statistics or wages as inputs, well-known as ex post inputs. By other side, some authors have criticized the use of these ex post inputs, and recommend the use of ex ante inputs, as the market value of the players. We have analysed the performance of football teams estimating technical efficiency with three different inputs specification. The methodologies employed were data envelopment analysis (DEA) and a bootstrapped DEA. Our sample is composed by English Premier League football clubs, during three seasons (2012/13–2014/15). The DEA results indicate that the correlation between the three models is positive and significant. The DEA-bootstrapped results help to restate the robustness of the estimations and endorsed the inputs choices. The correlations of the estimations with market value and match-related statistics are the most striking (90% and 94%, DEA and bootstrapped DEA), which indicate that the existent discussion related to the use of match-related statistics as input is unjustified, because it does not affect significantly the efficiency estimations.