Several governments have implemented strict measures to reduce the spread of COVID‐19, such as lockdown measures. However, these measures have brought negative consequences at an individual level by exacerbating the psychological distress caused by the pandemic. We evaluated the role of cognitive emotion regulation strategies (CERS) on the levels of anxiety and depression during the lockdown in a sample of 663 Spanish‐speaking adults, while controlling for variables related to social support, hobbies, seeking information related to COVID‐19, perceived risk of infection, time of assessment, number of deaths and contagions during the assessment and age. Using multiple regression analyses with a stepwise model selection procedure, 29% of the variance in anxiety and 38% of the variance of depression were found to be predicted by specific CERS. The impact of CERS on anxiety and depression was moderated by the sex of participants and the time of assessment, indicating that CERS did not have the same protective or harmful effects in all participants and situations. Based on our results, recommendations are provided for improving coping with stressful events where lockdown measures are taken.

The intrauterine environment is increasingly recognised as a critical period for the emergence of mental health vulnerabilities. This review explores how adverse maternal exposures, such as psychological stress, infection, malnutrition, and environmental toxins, can disrupt foetal neurodevelopment via epigenetic mechanisms, contributing to the risk of psychiatric and neurodevelopmental disorders. Focusing primarily on human studies, we synthesise evidence on DNA methylation, histone modifications, and non-coding RNAs as key pathways through which the intrauterine environment influences gene regulation in the developing brain. We examine how timing of exposure, foetal sex, and gene–environment interactions modulate these effects, with particular attention to disorders such as schizophrenia, autism spectrum disorder, depression, and anxiety. The placenta emerges as a central mediator, both reflecting and shaping epigenetic changes in response to maternal signals. We also discuss the reversibility of epigenetic marks and highlight emerging interventions, including nutritional supplementation and maternal mental health support, that may buffer or reverse prenatal epigenetic programming. Methodological challenges are addressed, including tissue specificity and causal inference, and future directions are proposed toward integrating epigenetic biomarkers into early risk assessment and precision mental health and psychiatry. This review emphasises the importance of the prenatal period as a window of vulnerability and opportunity for shaping lifelong mental health.

Meta-analyses have found that working memory (WM) can be improved with cognitive training; however, some authors have suggested that these improvements are mostly driven by biases in the measurement of WM, especially the use of similar tasks for assessment and training. In the present meta-analysis, we investigated whether WM, fluid intelligence, executive functions, and short-term memory can be improved by cognitive training and evaluated the impact of possible sources of bias. We performed a risk of bias assessment of the included studies and took special care in controlling for practice effects. Data from 52 independent comparisons were analyzed, including cognitive training aimed at different cognitive functions. Our results show small improvements in WM after training (SMD = 0.18). Much larger effects were observed when the analysis was restricted to assessment tasks similar to those used for training (SMD = 1.15). Fluid intelligence was not found to improve as a result of training, and improvements in WM were not related to changes in fluid intelligence. Our analyses did however indicate that cognitive training can improve specific executive functions. Contrary to expectations, a set of meta-regressions indicated that characteristics of the training programme, such as dosage and type of training, do not have an impact on the effectiveness of training. The risk of bias assessment revealed some concerns in the randomization process and possible selective reporting among studies. Overall, our results identified various potential sources of bias, with the most significant being the choice of assessment tasks.

Emotion regulation plays a key role in well adapted behaviour, however, factors influencing individual differences in ER are still under investigation. Across two studies we investigate the complex relationship between executive functions (EFs) and emotional downregulation through two complementary research designs. The focus lies on key components of EFs—working memory, inhibitory control, and switching—and their relationship with effective emotional regulation. Surprisingly, switching emerged as the sole significant predictor in two multiple linear regression models, challenging the conventional belief that all major EFs broadly contribute to emotional downregulation. The first study, involving 248 Ecuadorian adults between 18 and 60 years old, used experimental tasks to assess the association between EFs and emotional regulation, aligning with existing literature that posits a link between EFs and emotional control. The second study, involving 180 Ecuadorian adults between 18 and 43 years old, added depth by incorporating self-report measures, providing a broader, ecologically valid perspective. However, these measures did not significantly predict downregulation, highlighting a gap between self-perception and actual cognitive abilities. Additionally, demographic predictors varied between the two studies, urging future research to consider methodological design and task selection carefully. The study also raises questions about the validity of commonly used measures, emphasising the need for more nuanced tools to capture the complexity of EFs and emotional regulation. Our findings suggest a targeted research avenue focusing on EFs for both future research and clinical interventions. Attention is called to the methodological decisions that can influence the observed associations, and the need for broader demographic representation in future studies.

Objective: Confirm the three correlated factors model of the Alcohol Use Disorders Identification Test (AUDIT) using robust estimations and evaluate its internal consistency with a sample of Ecuadorian adolescents.Method: Descriptive and instrumental analysis that includes confirmatory factor analysis with robust estimation and the calculation of its internal consistency.Participants: A total of 1113 adolescents in which 56.1% are men and 43.9% are women), and they were between 11 and 19 years old ($\overline{X} $= 14.9 years; s = 1.67). Students from eight educational centres in Cotopaxi (54.1%) and Tungurahua (45.9%) in Ecuador were also included.Results: The three correlated factors model from the AUDIT is confirmed with χ2 = 95.67; P < 0.001; df = 32; χ2/df = 2.98; comparative adjustment index = 0.93; Tucker-Lewis index = 0.90; standardized root mean square residual = 0.046; root mean square error of approximation = 0.042; 95% confidence interval [0.033–0.052].Conclusions: The three correlated factors model from the AUDIT using robust estimations has an adequate fit and is also reliable in a sample of Ecuadorian adolescents.