As GLP-1 receptor agonists (GLP-1 RAs) are increasingly used worldwide, concerns about their association with mood disorders have grown. Yet real-world observational studies have produced conflicting findings. This study aims to fully examine the link between GLP-1 RAs and emotional/behavioral outcomes.

Disproportionality analysis of GLP-1 RA adverse events was conducted using FAERS data. Mendelian randomization (MR) employed GLP1R cis-eQTLs as instrumental variables to assess links with mood/behavior-related disorders. Summary-data MR (SMR) was then performed using GLP1R cis-eQTL data.

275,718 adverse events (AEs) associated with GLP-1 RAs were retrieved and analyzed. A mild signal for suicide-related AEs was observed only in the obesity indication subgroup (ROR:1.65, 95% CI: 1.28–2.12). Genetic evidence showed that GLP-1 RAs were likely associated with reduced risks of anxiety, depression, emotional lability, bipolar disorder, and suicide. Mediational analysis indicated that weight loss partially mediated the causal effects of GLP-1 RAs on depression and emotional lability, accounting for 18.28% (95% CI: 9.46–27.10%, P = 0.038) and 7.65% (95% CI: 5.66–9.64%, P < 0.001) of the total effects, respectively. SMR analysis showed that genetically predicted GLP1R expression was negatively associated with anxiety (OR: 0.79, 95% CI: 0.64–0.98, P = 0.031), with no significant associations for other emotional or behavioral outcomes.

Both observational and MR analyses showed that patients treated with GLP-1 RAs may have no increased risk of emotional and behavioral disorders. Instead, genetic proxy activation of GLP-1 RAs may reduce the risk of anxiety, depression, and emotional lability.

The population with a serious mental illness (SMI) shows a high risk of premature mortality. Overexposed to multiple health risks throughout life, their main threat is physical illness, which starts earlier and is not diagnosed in time. Developing preventive actions is a public health priority.

This longitudinal prospective study evaluated the predictive value of lung function on all-cause mortality in patients with schizophrenia (SCHIZ) or bipolar disorder. Patients aged 40–70 years, active smokers, and without preexisting respiratory disease underwent spirometry following American Thoracic Society/European Respiratory Society 2021 standards. Mortality data were collected through December 2022. Cox proportional hazards models and Kaplan–Meier survival curves analyzed the association between lung function, specifically forced expiratory volume in the first second (FEV1), forced vital capacity (FVC), and mortality, adjusting for relevant confounders (age, gender, abdominal circumference, and comorbidities).

Of 107 participants (mean age 49.3 years, 63.3% male) with SMI (72% SCHIZ) and active smokers, 8 (7.5%) died during the 6-year follow-up (5 cardiovascular and 3 cancer). Mean z-scores were −1.41 (SD = 1.22) for FEV1 and −0.99 (SD = 1.16) for FVC. Lower FEV1 and FVC z-scores were significantly associated with increased mortality risk (p = 0.002 and p = 0.009, respectively). Kaplan–Meier analysis confirmed this association for FEV1 (p = 0.039) and FVC (p = 0.007) but not for gender, comorbidities (hypertension, diabetes, and dyslipidemia), or FEV1/FVC. A multivariate Cox regression model, adjusting for age and abdominal circumference, confirmed the independent predictive value of lower FEV1 z-score for mortality (hazard regression = 0.473, 95% confidence interval: 0.220–0.979, p = 0.044).

Poorer lung function, especially lower FEV1, was independently associated with all-cause mortality in SMI. Spirometry, an easily implementable technique, could help to detect at-risk individuals and favor prevention initiatives.

In the ultra-high risk for psychosis (UHR) field, it is unknown whether understanding symptom relationships, beyond symptom severity alone, may hold prognostic value and inform preventive care. In this study, network analysis was performed to examine the interconnections between baseline symptoms in UHR youth who did and did not transition to psychosis over three years.

In a sample selected from the UHR1000+ cohort, positive and basic symptoms were assessed using the Comprehensive Assessment of At-Risk Mental States. Network analyses and network comparison tests were performed.

195 UHR youth transitioned to psychosis within three years and 346 did not. The two groups did not differ in the network structure, global strength (i.e., the overall level of connectivity between symptoms), or centrality of symptoms (i.e., their importance within networks). The transitioned group was characterized by unusual thought content not being connected to other symptoms; however, its centrality between networks was comparable. Across networks, impaired cognitive functioning connected disorganized speech to impaired emotional functioning, motor functioning, and tolerance to normal stress. Impaired bodily sensation connected perceptual abnormalities to other symptoms.

The networks of youth who transitioned and who did not transition were similar, indicating similar baseline symptom relationships. Across groups, unusual thought content, despite being traditionally associated with transition, had little to no interactions with other symptoms. Clinical manifestations that may need attention include impaired cognitive functioning, which connected several symptoms, and impaired bodily sensation. Future research using time series data may support progress toward individualized care.

Standard treatments for eating disorders (EDs) typically include nutritional rehabilitation, psychotherapy, and pharmacotherapy, often resulting in modest effectiveness. Neuromodulation has been proposed as a potential add-on strategy. This review aims to critically evaluate its effects on EDs.

The PICO framework was used to conduct a search according to the PRISMA guidelines for systematic reviews (PROSPERO Registration no. CRD42024559700). Descriptive and clinical data for each study, including comorbidity and safety, were tabulated by disorder. Quality assessment was performed using the RoB2 and ROBINS-I tools.

Fifty-eight studies examining rTMS, tDCS, DBS, ECT, iTBS, and dTMS in AN, BN, and BED met inclusion criteria. In AN, the effects of rTMS and tDCS on weight and BMI were modest, with notable benefits for adolescents. Conversely, in refractory AN, DBS produced significant and lasting increases in BMI and reductions in comorbid psychopathology. For BN, single-session rTMS reduced cravings acutely, while multisession results were mixed; tDCS enhanced self-control. In BED, right-DLPFC tDCS decreased cravings, food intake, and binge frequency, showing a dose-dependent effect, whereas early data on NAcc DBS were promising but limited.

Noninvasive stimulation methods effectively reduced cravings and impulsivity, showing more consistent improvements in BN and BED than in weight restoration for AN. Overall, this pattern replicates recent review reports. However, variations in study designs, stimulation protocols, and outcome measures may undermine the reliability of these conclusions and complicate comparisons across studies. Future studies should be adequately powered, multisession, with durability endpoints, and target and dose refinement.

Existing research on post-traumatic stress disorder (PTSD) development over time covers brief periods predominantly among military personnel, rather than civilians, and baseline measurements from before traumatic experiences are rarely available. This longitudinal study examined PTSD trajectories among Israeli civilians before and after the October 7, 2023, terror attack, exploring their associations with current and previous trauma.

Data included 1,231 Israeli Jewish adults from a quasi-representative sample surveyed at four time points: January 2018, April 2022, December 2023, and March 2024. Participants completed self-report measures, including the PTSD Checklist for DSM-5 (PCL-5), exposure to the October 7 attack and subsequent war, and trauma in childhood and adulthood. Latent growth mixture modeling identified PTSD trajectories.

Four trajectories were identified: resilience (70.4%), trauma recovery (9.4%), trauma vulnerability (16.8%), and chronic PTSD (3.5%). The chronic PTSD group exhibited persistently high symptoms, associated with greater childhood trauma and war-related exposure. The trauma vulnerability group showed low-medium pre-attack PTSD levels that escalated post-attack, associated with higher war-related stressors. The trauma recovery group had high pre-attack PTSD severity related to high trauma exposure, but showed significant symptom reduction post-attack.

This study, the first to examine PTSD trajectories in civilians after large-scale trauma, highlights diverse impacts. Most participants demonstrated resilience, while some exhibited chronic symptoms. Two trajectories – trauma vulnerability and trauma recovery – were event-responsive, suggesting that collective trauma can both exacerbate and paradoxically alleviate symptoms. Findings emphasize the need for targeted interventions and suggest future research using machine learning to refine PTSD trajectory prediction.