Type 2 diabetes mellitus (T2DM) is a chronic condition with significant psychological and physiological challenges. Clinical hypnosis has emerged as a complementary intervention to support emotional regulation and self-management in T2DM care. This critical narrative review evaluates empirical studies on the use of clinical hypnosis for managing psychological and physiological outcomes in individuals with T2DM. Systematic search procedures were applied in Scopus, PubMed, and Google Scholar, yielding six eligible studies published between 2011 and 2025 for inclusion in this critical narrative review. The findings suggest potential benefits in reducing stress and anxiety, enhancing self-care, and improving glycemic control. However, methodological limitations - such as non-randomized designs, small samples, and heterogeneous protocols - limit causal conclusions and replicability. Clinical hypnosis shows promise as an adjunctive approach in T2DM management, but further research using rigorous designs and objective measures is needed to establish its effectiveness and mechanisms.

The dietary pattern might impact physiological and psychological health. Therefore, the present study aims to examine the associations of dietary phytochemical index (DPI) and dietary inflammatory index (DII) with chronotype, sleep, and psychological health in adults. This cross-sectional study included 628 healthy adults aged 19-64 y (mean age: 25.9 ± 9.7 y). Data on anthropometrics, physical activity, chronotype (Morningness-Eveningness Questionnaire (MEQ)), sleep quality (Pittsburgh Sleep Quality Index (PSQI)), and psychological status (Depression, Anxiety, and Stress Scale-21 (DASS-21)) were collected. Dietary intake was assessed using a validated semi-quantitative Food Frequency Questionnaire. The DPI was calculated using two different methods, one developed by McCarty and the other by Bahadoran et al. while the DII was computed based on the method developed by Shivappa et al. In the adjusted models, the DPI (according to McCarty) was positively associated with MEQ scores and negatively associated with PSQI and DASS-21 subscale scores, and increasing DPI was associated with significantly decreased odds of exhibiting mid- or evening chronotypes and poor sleep quality (p < 0.05). Although DPI (according to Bahadoran et al.) was positively associated with MEQ total score (p < 0.05), no significant associations were observed in the risk estimates for chronotype, sleep quality, and DASS-21 scores after adjustment (p > 0.05). Moreover, in the adjusted models, DII was not significantly associated with chronotype, sleep quality, or any DASS-21 sub-group (p > 0.05). A higher dietary phytochemical index was associated with a higher morningness tendency, better sleep quality, and lower levels of depression, anxiety, and stress. These findings underscore the potential link between an anti-inflammatory, phytochemical-rich dietary pattern, and psychological and physiological well-being.

In an era increasingly dominated by digital engagement, the concept of brain rot -defined by cognitive fatigue and mental exhaustion-has emerged as a critical psychological concern. Based on Cognitive Load Theory (CLT) and Conservation of Resources (COR) Theory, this study investigates the mechanism through which brain rot predicts depression. Specifically, a parallel-serial mediation model (Hayes Model 81) was tested to examine whether brain rot leads to depression via burnout (primary mediator) and subsequently through stress and anxiety (secondary parallel mediators), while controlling for emotional dysregulation. Data were collected from 439 participants (Mage = 22.15, SD = 3.89). The results confirmed a full mediation model (β = .03, p > .05; 95% CI [-.03, .08]). Brain rot did not directly predict depression but triggered a "loss spiral" by first depleting resources (burnout), which then elevated stress and anxiety, ultimately precipitating depressive symptoms. Burnout emerged as a pivotal transitional factor, while emotional dysregulation significantly intensified all psychological outcomes. These findings suggest that, alongside clinical interventions targeting burnout and emotion regulation, preventive strategies promoting conscious digital consumption and media literacy are essential to forestall the onset of cognitive fatigue.