The prevalence of alcohol use disorder among older adults is increasing, with this population being particularly vulnerable to alcohol’s detrimental effects. While knowledge of preventative factors is scarce, physical activity has emerged as a potential modifiable protective factor. This study aimed to examine associations between alcohol consumption and physical activity in a large-scale, multi-national prospective study of the older adult population.

Longitudinal data from the SHARE study on physical activity, alcohol consumption, demographic, socioeconomic, and health variables, were analyzed in older adults. Individual-level data were examined using logistic regression models. Both cross-sectional and longitudinal models were calculated to account for potential latency in the association between physical activity and alcohol consumption.

The study included 3133 participants from 13 countries. Higher physical activity levels were significantly associated with higher alcohol consumption in cross-sectional (p = 0.0004) and longitudinal analyses (p = 0.0045) over a median follow-up of 6 years. While the presence of depressive symptoms and higher educational attainment were associated with higher alcohol consumption, female sex and persons with lower perceived health showed lower frequency of alcohol consumption. Additionally, the country of residence also proved to be a relevant factor for alcohol consumption.

Higher levels of physical activity showed an association with higher alcohol consumption in older adults. Future research should investigate whether this association is causal and underpinned by neurobiological, social, or methodological factors.

Depression affects twice as many women as men. Risk factors for depression certainly impact this difference, but their strong interconnectedness challenges the assessment of standalone contributions. Network models allow the identification of systematic independent relationships between individual symptoms and risk factors. This study aimed to evaluate whether the extended networks of depressive symptoms, cognitive functions, and leisure activities in like-sex twins differ depending on gender or zygosity.

Twins, including 2,040 women (918 monozygotic and 1,122 dizygotic) and 1,712 men (730 monozygotic and 982 dizygotic), were selected from the Danish Twin Registry for having, along with their like-sex co-twin, completed measures of depressive symptoms, cognition, and leisure activities (physical, intellectual, and social). Network models were estimated and compared at three levels: co-twins to each other within groups defined by gender and zygosity; monozygotic to dizygotic twins within the same gender, and between genders.

No significant differences were observed when co-twins were compared to each other, regardless of the pair’s zygosity or gender, nor when monozygotic twins were compared to dizygotic twins within gender. However, the gendered networks differed significantly in global strength, structure, and partial correlations between specific depressive symptoms and risk factors, all indicating stronger connectedness in women relative to men.

Environmental factors appear to best explain between-gender network differences. Women’s networks showed significantly stronger associations both among depressive symptoms and between depressive symptoms and risk factors (i.e., decreased cognition and leisure activities). Longitudinal research is needed to determine the causality and directionality of these relationships.

Opioid use disorder (OUD) is a devastating condition with frequent suicidality, contributing to overdose deaths. Theta burst stimulation (TBS) to the dorsolateral prefrontal cortex (DLPFC) is used to treat major depressive disorder (MDD) and is effective in treating suicidal ideation. We piloted a randomized, double-blind, sham-controlled trial of bilateral rTMS for patients with OUD and MDD experiencing suicidality.

Sequential bilateral TBS was delivered guided by structural neuroimaging: continuous TBS to the right then intermittent TBS to the left DLPFC, daily (20 treatments). The primary objective was to determine the feasibility of this population. The primary clinical outcome was the scale for suicidal ideation (SSI), secondary outcomes included depressive symptoms and opioid cue-induced craving. ClinicalTrials.gov: NCT04785456.

Eighty-seven individuals were pre-screened. The most common reasons for ineligibility included being unreachable by the study team, difficulty with scheduling/travel requirements, and medical/psychiatric instability. Six participants (5:1 M:F) were enrolled (3/arm), four had a fentanyl use history; two completed per protocol (1/arm). Of the participants with follow-up data, SSI scores decreased in 2/3 in the sham arm and 2/2 in the active arm; depression and opioid craving scores decreased in all participants.

We present the first data piloting a structural neuroimaging-guided, multi-session rTMS treatment course in outpatients with suicidality and OUD in the current North American context. Recruitment and retention were the main challenges given the highly unstable medical and psychosocial context of this patient population. Future trials should consider a suitable environment to improve the feasibility of delivering this treatment.

Impairment in both psychosocial functioning and neurocognition (NC) performance is present in bipolar disorder (BD) yet the role of sex differences in these deficits remains unclear. The present systematic review and meta-analysis examined whether males and females with BD demonstrate differences in psychosocial functioning and NC performance.

The Cochrane Library, EMBASE, PsycINFO, PubMed, Scopus, and Web of Science databases were systematically searched from inception until November 20, 2023.

Twenty studies published between 2005 and 2023 with a total sample size of 2286 patients with BD were included. A random effects meta-analysis revealed a statistically significant result with a small effect (SMD = 0.313) for sex differences in verbal learning and memory as well as visual learning and memory (SMD = 0.263). Females outperformed males in both domains. No significant sex differences were observed for any other NC outcome or psychosocial functioning. High heterogeneity and differences in assessment scales used should be considered when interpreting these findings, given their potential impact on results.

Future research should adopt a more homogenous, standardized approach using longitudinal designs to gain a clearer insight into sex differences in this population. This approach so may increase the use of preventative therapeutic options to address the difficult clinical challenge of reaching cognitive and functional recovery.

Antidepressants are essential in managing depression, including treatment-resistant cases. Public perceptions of these medications, shaped by social media platforms like X (formerly Twitter), can influence treatment adherence and outcomes. This study explores public attitudes toward antidepressants through sentiment and topic modeling analysis of tweets in English and Spanish from 2007 to 2022.

Tweets mentioning antidepressants approved for depression were collected. The analysis focused on selective serotonin reuptake inhibitors (SSRIs) and glutamatergic drugs. Sentiment analysis and topic modeling were conducted to identify trends, concerns, and emotions in discussions across both languages.

A total of 1,448,674 tweets were analyzed (1,013,128 in English and 435,546 in Spanish). SSRIs were the most mentioned antidepressants (27.9% in English, 58.91% in Spanish). Pricing and availability were key concerns in English tweets, while Spanish tweets highlighted availability, efficacy, and sexual side effects. Glutamatergic drugs, especially esketamine, gained attention (15.61% in English, 25.23% in Spanish), evoking emotions such as fear, sadness, and anger. Temporal analysis showed significant increases in discussions, with peaks in 2012 and 2021 for SSRIs in Spanish, and exponential growth from 2018 to 2021 for glutamatergic drugs. Emotional tones varied across languages, reflecting cultural differences.

Social media platforms like X provide valuable insights into public perceptions of antidepressants, highlighting cultural variations in attitudes. Understanding these perceptions can help clinicians address concerns and misconceptions, fostering informed treatment decisions. The limitations of social media data call for careful interpretation, emphasizing the need for continued research to improve pharmacovigilance and public health strategies.

Attention deficit/hyperactivity disorder (ADHD) prevalence has increased in the last 10 years, most likely due to increased recognition by clinicians. Even so, an issue with under-diagnostics may persist. Historically ADHD has been described as a male-dominant disorder. However, recent evidence shows that ADHD prevalence is similar between the sexes, but that the related impairment or symptomatology might vary. This study estimated the prevalence of undiagnosed ADHD symptoms (pADHD) and explored the sex-stratified symptomatology and associations with self-perceived health-related quality of life (HRQL) and experience of depressive symptoms.

This was done in a unique cohort of 50,937 healthy blood donors – individuals who successfully maintain regular commitments despite potential ADHD symptoms. ADHD symptoms were estimated using the Adult ADHD Self-Report Scale (ASRS), health-related quality of life (HRQL) measured using mental and physical component scores (MCS/PCS) estimated based on a 12-item Short-Form Health Survey (SF-12) with a higher score indicating better HRQL, and depressive symptoms were measured using Major Depression Inventory (MDI) with higher score indicating more depressive symptoms.

In total, 3% were classified with pADHD (sex ratio 1:1). pADHD was associated with reduced MCS and PCS, and increased MDI score. Males scored on average higher on inattentive symptoms compared to females, whereas females scored on average higher on hyperactive-impulsive symptoms. Individuals scoring high on the combined inattentive and hyperactive-impulsive ADHD symptom presentation were most likely to be impaired in terms of higher MDI scores and lower PCS when compared to non-ADHD controls.

In conclusion, ADHD symptoms are common in this seemingly healthy and undiagnosed population. Symptom presentations differ between sexes and the type of presentation seems to impact the association with depressive symptoms and level of reduced HRQL.

COVID-19-related conspiracy theories (CTs) have been observed among healthcare workers (HCWs). There exists, however, a lack of research investigating the extent, nature, and determinants of CTs among HCWs worldwide.

A systematic literature search of Medline, EMBASE, Web of Science, Scopus, and CINAHL electronic databases (from inception to October 2023) was conducted for studies examining the prevalence and nature of COVID-19-related CTs among HCWs and health students and/or factors driving HCWs into believing these CTs.

Prevalence rates of COVID-19-related CTs among HCWs varied widely across studies, ranging from 0.89% to 75.6%. These prevalence rates mainly concern vaccine-hesitant HCWs (although a minority of vaccinated HCWs also endorse CTs). Higher prevalence rates of CTs were found in the Arab world, Ethiopia, and Nigeria, compared to other African and Western countries. While in European countries and Northern America, an increased belief of HCWs in the “destabilization and power gain” narrative was found, African HCWs particularly endorsed the “population reduction” and “liberty restriction” narratives. Limited and heterogeneous data prevented conclusive findings on the relationship between CTs and sociodemographic factors, ethnicity, and psychological traits among HCWs. However, a consistent observation emerged regarding the level of education, indicating HCWs with higher educational attainment (e.g., physicians) tend to endorse CTs less frequently.

Although COVID-19-related CTs may be highly prevalent among vaccine-hesitant HCWs, gaps in understanding the drivers of CTs among HCWs remain. Given HCWs’ critical role in public health, especially during pandemics, further research is therefore essential.

Adolescents with psychiatric disorders are at increased risk of suicide, with insomnia, depression, and social-personal factors playing pivotal roles. This study investigates the interplay between these factors in a sample of adolescent psychiatric inpatients in Italy, with a particular focus on their association with suicide attempts.

We conducted a cross-sectional study on 95 adolescent inpatients (54 suicide attempters, 41 non-attempters) to explore their sociodemographic and clinical variables, including insomnia, depression, and social-personal factors as history of bullying. Logistic regression analyses and Pearson’s correlations were used to identify significant predictors of suicide attempts and their interrelations.

Suicide attempters were predominantly female (90% vs. 75%, p = 0.04) and more likely to have a family psychiatric history (83% vs. 63%, p = 0.04), a history of bullying (26% vs. 9%, p = 0.01), and insomnia (79% vs. 53%, p = 0.01). Depression was strongly associated with suicide attempts (96% vs. 70%, p = 0.01), while physically active adolescents were significantly less likely to attempt suicide (27% vs. 53%, p = 0.01). Insomnia and depression were highly correlated (r = 0.94, p = 0.02), emphasizing the critical role of the former in emotional dysregulation. Behavioral factors, such as physical inactivity and bullying, emerged as additional key contributors to suicidal behavior.

This study highlights the multifaceted nature of suicide risk in adolescent psychiatric inpatients, with sleep disturbances, depression, and behavioral factors playing central roles. These findings underscore the need for integrated interventions targeting sleep, emotional regulation, and behavioral vulnerabilities to mitigate suicide risk.

There is increasing evidence that childhood Attention-Deficit Hyperactivity Disorder (ADHD) elevates the risk of later Bipolar Spectrum Disorder (BD). However, it remains unclear whether different trajectories of ADHD symptoms confer differential risk for BD.

Data from the Avon Longitudinal Study of Parents and Children were available from 7811 children at age 8 years, 7435 at 10, 6798 at 13, and 1217 at 21–23 years. ADHD symptoms were assessed at 8, 10, and 13 years with the Development and Well-Being Assessment. Clinically significant hypomanic symptoms (CSHS) at 21–23 years were assessed using the Hypomania Symptom Checklist (HCL-32). Group trajectories of ADHD and its subtypes were estimated using latent class growth analysis. The prospective associations between different ADHD trajectories and CSHS were tested using logistic regression analysis.

Persistently high, increasing, remitting, and persistently low ADHD symptom trajectories were identified for the three ADHD-related categories. Individuals with persistently high and increasing levels of ADHD symptoms had increased odds of CSHS compared to persistently low class. Sensitivity analyses validated these results. In separate analyses, persistently high levels of hyperactivity and inattentive, and increasing levels of inattentive symptoms were also independently associated with CSHS.

Young people with a longitudinal pattern of high and increasing ADHD symptoms are at higher risk for developing CSHS in young adulthood compared to individuals with low symptom patterns. These two trajectories in childhood and adolescence may represent distinct phenotypic risk profiles for subsequently developing BD and be clinically significant targets for prevention and treatment of BD.

Increasing daylight exposure might be a simple way to improve mental health. However, little is known about daylight-symptom associations in depressive disorders.

In a subset of the Australian Genetics of Depression Study (N = 13,480; 75% female), we explored associations between self-reported number of hours spent in daylight on a typical workday and free day and seven symptom dimensions: depressive (overall, somatic, psychological); hypo-manic-like; psychotic-like; insomnia; and daytime sleepiness. Polygenic scores for major depressive disorder (MDD); bipolar disorder (BD); and schizophrenia (SCZ) were calculated. Models were adjusted for age, sex, shift work status, employment status, season, and educational attainment. Exploratory analyses examined age-stratified associations (18–24 years; 25–34 years; 35–64 years; 65 and older). Bonferroni-corrected associations (p < 0.004) are discussed.

Adults with depression reported spending a median of one hour in daylight on workdays and three hours on free days. More daylight exposure on workdays and free days was associated with lower depressive (overall, psychological, somatic) and insomnia symptoms (p’s<0.001), but higher hypo-manic-like symptoms (p’s<0.002). Genetic loading for MDD and SCZ were associated with less daylight exposure in unadjusted correlational analyses (effect sizes were not meaningful). Exploratory analyses revealed age-related heterogeneity. Among 18–24-year-olds, no symptom dimensions were associated with daylight. By contrast, for the older age groups, there was a pattern of more daylight exposure and lower insomnia symptoms (p < 0.003) (except for 25–34-year-olds on free days, p = 0.019); and lower depressive symptoms with more daylight on free days, and to some extent workdays (depending on the age-group).

Exploration of the causal status of daylight in depression is warranted.

Medication-induced dystonia (MID) is a movement disorder (MD), characterized by involuntary sustained or intermittent muscle contractions, causing abnormal, often repetitive, movements, postures, or both. Although MID is commonly associated with the use of antipsychotics, it also occurs with many other medications widely used in clinical practice.

A systematic literature search (from inception to November 2023), using the PubMed and Embase databases, was conducted without language restriction for articles reporting on MID in people without pre-existing MDs, and this for all potentially relevant non-antipsychotic medications. A narrative synthesis of the available evidence was undertaken.

MID is common (1 to 10%) with certain antiemetics. Selective serotonin reuptake inhibitors and the antiepileptics valproate, carbamazepine, and lamotrigine are rarely (0.01 to 0.1%) or very rarely (<0.01%) associated with MID. All other medications are very rarely (<0.01%) associated with MID or have a risk that cannot be precisely estimated. The actual rate of dystonic reactions with most non-antipsychotic agents remains unknown, owing to misdiagnosis and underreporting in the scientific literature. In general, MID seems to occur more often in children and adolescents, even with a single low dose, and with polymedication. In most cases, MID is acute in onset (occurring within hours to days) and involves the head and neck.

Although MID is most common with dopamine receptor-blocking antiemetics, many other medications may also produce dystonic reactions, particularly in children and adolescents. Although such incidents remain rare, there are indications that MID is underreported for many classes of medications.

Living with major depressive disorder (MDD) reduces life expectancy, with respiratory disease being a significant threat. However, evidence on respiratory disease in this population has not yet been meta-analyzed.

This meta-analysis examines respiratory disease prevalence and odds ratio (OR) in patients with MDD and treatment resistant depression (TRD). A systematic literature search was conducted, with a snowball search of reference and citation lists. Inclusion criteria covered studies in MDD and TRD patients with confirmed diagnoses of respiratory diseases (asthma, chronic obstructive pulmonary disease [COPD], pneumonia, lung cancer, and tuberculosis), comparing with a control group when possible.

From 4,138 retrieved articles, 15 (including 476,927 individuals with MDD, 50,680 with TRD, and 1,108,979 control group) met the inclusion criteria. In MDD patients, COPD prevalence was 9.0% (95% CI: 3.8–19.6%), asthma 8.6% (95% CI: 5.7–12.8%), and pneumonia 2.5% (95% CI: 2.2–2.9%). In TRD patients, COPD prevalence was 9.9% (95% CI: 4.2–21.9%) and asthma 10.9% (95% CI: 10.7–11.2%), but meta-analysis limited to those diseases showed no significant relative risk differences. Compared to the general population, individuals with MDD had significantly higher rates of COPD (OR 1.79, 95% CI: 1.49–2.16), even higher in younger populations (1.85 [95% CI: 1.74–1.97]) and more prevalent in women.

This first meta-analysis on this topic shows that MDD is associated with an increased risk of respiratory illness compared to the general population. The prevalence of asthma doubles the mean described in the general population worldwide, and in COPD, women and younger people are at particular risk. Prevention policies are urgently needed.