Breast cancer is the most common neoplasm among women worldwide. Improvements in early detection and treatment have resulted in improved survival rates; however, the continuation of unhealthy behaviours after diagnosis can increase the risk of second primary tumours. The aim of the study was to evaluate the effectiveness of two nurse-led health education interventions aiming at improving dietary behaviours among women diagnosed with breast cancer. Participants (n = 492) were included in a double-blind randomized controlled trial with three arms: a control group received usual care; women in the first intervention group received a booklet containing dietary advice; women in the second intervention group received the same booklet plus a tailored telephone intervention delivered by a trained nurse. One year after the intervention, women in both intervention groups were more likely to adhere to the recommendation of decreasing the consumption of animal fats compared with the control group (OR:5.0; 95% CI:1.5-16.9 and OR:6.6; 95% CI:2.0-22.6, respectively). Moreover, compared with the control group, the adjusted probability of eating the recommended amount of fruit and vegetables was higher in the second intervention group (OR:2.7; 95% CI:1.4-5.3). In summary, the booklet containing dietary advice for breast cancer survivors, either alone or supplemented with a nurse-led telephone intervention, was effective in promoting adherence to diet recommendations.

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Observational studies using registry data make it possible to compile quality information and can surpass clinical trials in some contexts. However, data heterogeneity, analytical complexity, and the diversity of aspects to be taken into account when interpreting results makes it easy for mistakes to be made and calls for mastery of statistical methodology. Some questionable research practices that include poor analytical data management are responsible for the low reproducibility of some results; yet, there is a paucity of information in the literature regarding specific statistical pitfalls of cancer studies. In addition to proposing how to avoid or solve them, this article seeks to expose ten common problematic situations in the analysis of cancer registries: convenience, dichotomization, stratification, regression to the mean, impact of sample size, competing risks, immortal time and survivor bias, management of missing values, and data dredging.

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Background Women consult information in mobile apps (apps) during pregnancy, and even obstetrics specialists highlight that pregnancy is the ideal moment for the use of apps as consultation sources. However, the high number of apps designed for pregnancy requires a careful assessment to determine their suitability before recommendation. Objective The aim of this study is to identify the apps available in Spanish that can be recommended based on their content, behavior change techniques (BCTs), and quality as a complementary tool during pregnancy. Methods A systematic search on app stores to identify apps was performed in the Apple App Store and Google Play with the subject term “pregnancy.” The apps meeting the following criteria were chosen: pregnancy-related content, free, and available in Spanish. An app was excluded if it was classified as a game or entertainment and thus lacking an educational or health aim and if it did not target the population under study. The selected apps were downloaded, and their quality was assessed using the Mobile Application Rating Scale (MARS), with the BCTs included evaluated using the BCT taxonomy version 1 and its content. Results A total of 457 apps were identified, 25 of which were downloaded for assessment (5.6%). The median for objective and subjective quality was 2.94 (IQR 2.71-3.46) and 1.75 (IQR 1.25-2.25), respectively. Regarding content, the median of topics included in the apps was 23 (IQR 16-23), with weight gain, nutrition, fetal development, and physical activity being the most common. The median number of BCTs was 12 (IQR 0.5-3.5). The most frequently identified BCTs in the apps were “Self-Monitoring of Outcomes,” followed by “Goal Behavior” and “Instructions.” Statistically significant correlations were observed between objective quality and content (ρ=0.624; P=.001), subjective quality and content (ρ=0.638; P=.001), objective quality and BCTs (ρ=0.672; P<.001), subjective quality and BCTs (ρ=0.623; P<.001), and BCTs and content (ρ=0.580; P=.002). Conclusions The results of this study suggest that only a small percentage of free pregnancy apps available in Spanish should be recommended. The apps with the best MARS scores were those that addressed a higher number of topics and included a higher number of BCTs. Those with the best content and quality, and a higher number of BCTs included could be recommended by health professionals.