Cannabis is one of the most commonly used drugs globally, although its legal status varies across regions. Public support for its decriminalization has increased, but gaps in our understanding of the health consequences of cannabis use remain, particularly related to its impact on mental health. This article provides an updated systematic review and meta-analysis (previous being Lev-Ran et al., 2014) looking at the relationship between cannabis and depression.

Literature available before March 2023 was screened for longitudinal studies that included cannabis use and depression. Cross-sectional studies and those only looking at special populations were excluded. Studies must have also controlled for depression at baseline to allow for investigation of a temporal relationship. Extracted data included cannabis measures, depression outcomes, adjusted odds ratios, and study settings. Meta-analysis employed a random effects model with multilevel meta-regression for effect size moderators.

The search yielded 1,599 titles from various databases, resulting in 22 studies for meta-analysis, including 14 from Lev-Ran et al. Eleven studies were US-based, with participants mostly under 18. Meta-analysis showed a higher risk of depression among cannabis users (OR: 1.29, 95% CI: 1.13–1.46). Risk of bias assessment showed medium risk across studies with exposure measurement being a key bias area. The funnel plot and Egger’s Sandwich test did not suggest publication bias.

This study underscores the association between cannabis use and depression but also emphasizes the need for further research, especially in understanding usage patterns, heavy use definitions, and long-term effects on depression risk amidst changing cannabis trends.

Disasters pose serious threats to people’s health, including reproductive health (RH); therefore, we conducted this study to investigate Iranian women’s post-disaster RH challenges.

This study was conducted as a systematic review, and all published articles until the end of May 2022 were selected by searching in international and domestic scientific databases, including Web of Science, PubMed, Scopus, and Google Scholar, SID, and Magiran. The quality assessment of the studies was done using the Strobe checklist. We conducted this research based on PRISMA guidelines and analyzed the content by qualitative content analysis method.

Twelve related articles were included (8 high quality and 4 medium quality). Based on these articles, factors affecting post-disaster Iranian women’s RH were divided into 2 categories: individual factors (physical injuries, psychological disorders, cultural and religious issues) and management factors (not prioritizing RH services in disasters, lack of supplies, suitable facilities and professional human resources, access limitation to RH care and services).

We must enhance post disaster RH status by adopting suitable policies and decision-making in disaster risk management. We should prioritize RH services during the disaster response phase, providing facilities, equipment, and specialized and trained human resources.

Demoralization isa common psychological problem in cancer patients. The purpose of this study is to systematically evaluate the correlated factors of demoralization among cancer patients. We also summarized the available evidence, effect estimates, and the strength of statistical associations between demoralization and its associated factors.

We systematically searched PubMed, Web of Science, CINAHL, Embase, the Cochrane Library, PsycINFO, and 2 electronic databases to identify studies published up to October 2023 with data on the correlates of demoralization. Two researchers independently reviewed references, extracted data, and assessed data quality. Meta-analysis was performed using R4.1.1 software.

Thirty-eight studies were included in this meta-analysis. For the most studied sociodemographic correlates, demoralization was negatively correlated with income (z = −0.29, 95% CI: −0.51, −0.02), education (z = − 0.11, 95% CI: − 0.16, −0.05), and age (z = −0.45, 95%CI: −0.75, −0.01). For the most studied clinical correlates, demoralization was positively correlated with symptom burden (z = 0.37, 95% CI: 0.22, 0.50) and negatively correlated with quality of life (z = −0.40, 95% CI: −0.54, −0.24). For the most studied psychosocial correlates, demoralization was negatively correlated with social support (z = −0.39, 95% CI: −0.51, −0.26) and positively correlated with anxiety (z = 0.65, 95% CI: 0.56, 0.73), depression (z = 0.61, 95% CI: 0.54, 0.67), and suicidal ideation (z = 0.48, 95% CI: 0.34, 0.60).

Demoralization showed either positive or negative associations with sociodemographic, clinical, and psychological variables. More research is needed to explore the underlying mechanisms to develop effective interventions. This review provides information on the factors associated with demoralization in cancer patients, which can be used to inform strategies for clinical care providers.

Depressive disorders pose a significant global public health challenge, yet evidence on their burden remains insufficient.

To report the global, regional and national burden of depressive disorders and their attributable risk factors from 1990 to 2021.

Data from the Global Burden of Disease 2021 were analyzed for 204 countries and territories from 1990 to 2021. We explored the age-standardised incidence, prevalence and disability-adjusted life years (DALYs) of depressive disorders by age, gender and sociodemographic index.

In 2021, there were 357.44 million incident cases, 332.41 million prevalent cases and 56.33 million DALYs. Age-standardised rates for incidence, prevalence and DALYs were 4333.62, 4006.82 and 681.14 per 100 000 persons, with annual declines of 0.06%, 0.03% and 0.04%. Uganda, Greenland and Lesotho had the highest prevalence, while Spain, Mexico and Uruguay showed the largest increases. Greenland and Brunei Darussalam had the highest and lowest age-standardised DALYs rates, respectively. DALYs peaked in the 55–59 age group for men and 60–64 for women, with higher rates in women. Regionally, a U-shaped association was found between the sociodemographic index and DALYs rates. Population growth was the main driver for the increase in DALYs cases. Childhood maltreatment was the leading risk factor, with intimate partner violence affecting more females and childhood sexual abuse more males.

Despite decreasing trends in incidence, prevalence and DALYs rates, absolute case numbers and age-standardised rates continue to increase for depressive disorders. Tackling childhood abuse and improving depressive disorder management are crucial to reducing future burdens.

This systematic review investigates the characteristics, effectiveness and acceptability of interventions to encourage healthier eating in small, independent restaurants and takeaways.

We searched five databases (CENTRAL, MEDLINE, Embase, CINAHL and Science Citation Index and Social Science Citation Index) in June 2022. Eligible studies had to measure changes in sales, availability, nutritional quality, portion sizes or dietary intake of interventions targeting customer behaviour or restaurant environments. We evaluated study quality using the Mixed Methods Appraisal Tool. Results are synthesised narratively, and interventions’ impact on personal autonomy is assessed using the Nuffield intervention ladder.

Small, independent or local restaurants or hot food takeaway outlets, with no restrictions by year or country.

Anyone selling or purchasing food in intervention settings (e.g. restaurant staff/owners, customers).

We screened 4624 records and included 12 studies describing 13 interventions in 351 businesses. Most studies were of poor quality. Customer-level intervention components mostly operated on the lower rungs of the Nuffield ladder, and most had limited positive effects on increasing demand, measured as sales or orders of healthy options. Whilst rare, most interventions measuring business outcomes operated on higher ladder rungs and showed small positive results. There was insufficient evidence to investigate differences in impact by intervention intrusiveness. Acceptability was greater for interventions that were low-effort, inexpensive and perceived as not negatively impacting on customer satisfaction.

Despite some evidence of small positive effects of healthy eating interventions on healthier purchases or restaurant/hot food takeaway practices, a weak evidence base hinders robust inference.

Natural disasters occur unexpectedly, leading to long-term consequences like obesity. That contributes to various noncommunicable diseases such as cardiovascular disease, diabetes, and cancer. This review aimed to examine the link between natural disasters and obesity, along with related risk factors.

This systematic review aimed to examine the relationship between natural disasters and obesity, as well as the associated risk factors.

A thorough search was conducted using electronic databases such as PubMed, Scopus, Web of Science, HINARI, and Google Scholar. Additional articles were manually searched. Studies that reported weight gain and risk factors were included. The quality of the studies was assessed using the Joanna Briggs Institute (JBI) tools. Data were collected from eligible articles and synthesized.

The participants in this research ranged from 3 months to 67 years old. Of the 17 articles, 11 focused on children, while the 5 focused on adults and 1 on adolescents. All studies followed a cohort design, with follow-up periods varying from 6 months to 15.5 years. Results indicated weight gain post-disaster, with risk factors including sedentary behavior, unhealthy eating habits, maternal high Body Mass Index (BMI), mixed feeding, stress, alcohol consumption, coastal residence, temporary housing, and timing from disaster onset.

This research emphasizes the significance of addressing post-disaster obesity as a pivotal aspect of public health, suggesting its integration with immediate priorities such as trauma management. Emphasizing its long-lasting effects across generations, the study offers policymakers valuable insights to develop effective approaches in tackling post-disaster obesity.

Given the US population concentration near coastal areas and increased flooding due to climate change, public health professionals must recognize the psychological burden resulting from exposure to natural hazards.

We performed a systematic search of databases to identify articles with a clearly defined comparison group consisting of either pre-exposure measurements in a disaster-exposed population or disaster-unexposed controls, and assessment of mental health, including but not limited to, depression, post-traumatic stress (PTS), and anxiety.

Twenty-five studies, with a combined total of n =616 657 people were included in a systematic review, and 11 studies with a total of 2012 people were included in a meta-analysis of 3 mental health outcomes. Meta-analytic findings included a positive association between disaster exposure and PTS (n = 5, g = 0.44, 95% CI 0.04, 0.85), as well as depression (n = 9, g = 0.28, 95% CI 0.04, 0.53), and no meaningful effect size in studies assessing anxiety (n = 6, g = 0.05 95% CI −0.30, 0.19).

Hurricanes and flooding were consistently associated with increased depression and PTS in studies with comparison groups representing individuals unaffected by hazards.

While omega-3 polyunsaturated fatty acids (PUFAs) have shown promise as an adjunctive treatment for schizophrenia and other psychotic disorders, the overall consensus about their efficacy across studies is still lacking and findings to date are inconclusive. No clinical trials or systematic reviews have yet examined if omega-3 PUFAs are associated with differential levels of efficacy at various stages of psychosis.

A systematic bibliographic search of randomized double-blind placebo-controlled trials (RCTs) examining the effect of omega-3 PUFAs as a monotherapy or adjunctive therapy versus a control group in adults and children at ultra-high risk (UHR) for psychosis, experiencing a first-episode psychosis (FEP), or diagnosed with an established psychotic disorder was conducted. Participants’ clinical symptoms were evaluated using total and subscale scores on validated psychometric scales.

No beneficial effect of omega-3 PUFAs treatment was found in comparison with that of placebo (G = −0.26, 95% CI −0.55 to 0.03, p = 0.08). Treatment of omega-3 PUFAs did not prove any significant improvement in psychopathology in UHR (G = −0.09, 95% CI −0.45 to 0.27, p = 0.63), FEP (G = −1.20, 95% CI −5.63 to 3.22, p = 0.59), or schizophrenia patients (G = −0.17, 95% CI −0.38 to −0.03, p = 0.10).

These findings confirm previous evidence that disputes the original reported findings of the beneficial effect of omega-3 PUFAs in schizophrenia. Furthermore, accumulative evidence of the use of omega-3 as a preventive treatment option in UHR is not supported, suggesting that the need for future studies in this line of research should not be promoted.

Links between personality disorders and antisocial outcomes has not examined individual personality disorders, and the contribution of comorbidities remain uncertain. Previous systematic reviews are dated.

To synthesise evidence from observational studies on the risk of antisocial outcomes and recidivism associated with personality disorders.

We searched six bibliographic databases (up to March 2024) for observational studies examining the risk of antisocial behaviour, interpersonal violence and recidivism in individuals diagnosed with personality disorders, compared to controls. We explored sources of heterogeneity using subgroup analyses and meta-regression.

We identified 21 studies involving 83 418 individuals with personality disorders from 10 countries examining antisocial and violent outcomes (Aim 1), and 39 studies of 14 131 individuals from 13 countries with recidivism (or repeat offending) as the outcome (Aim 2). We found increased risks of violence among individuals with any personality disorder (odds ratio 4.5, 95% CI 3.0–6.7), particularly antisocial personality disorder (odds ratio 7.6, 95% CI 5.1–11.5) and borderline personality disorder (odds ratio 2.6, 95% CI 1.8–3.9). Individuals with any personality disorder (odds ratio 2.3, 95% CI 2.0–2.6) and antisocial personality disorder (odds ratio 2.8, 95% CI 1.6–4.9) also demonstrated an elevated risk of recidivism. Personality disorder types and comorbid substance use disorder were associated with between-study heterogeneity.

The assessment and management of personality disorders should be considered as part of violence prevention strategies. Improving identification and treatment of comorbid substance misuse may reduce adverse outcomes in individuals with personality disorders.

Suboptimal treatment outcomes contribute to the high disease burden of mood, anxiety or psychotic disorders. Clinical prediction models could optimise treatment allocation, which may result in better outcomes. Whereas ample research on prediction models is performed, model performance in other clinical contexts (i.e. external validation) is rarely examined. This gap hampers generalisability and as such implementation in clinical practice.

Systematically appraise studies on externally validated clinical prediction models for estimated treatment outcomes for mood, anxiety and psychotic disorders by (1) reviewing methodological quality and applicability of studies and (2) investigating how model properties relate to differences in model performance.

The review and meta-analysis protocol was prospectively registered with PROSPERO (registration number CRD42022307987). A search was conducted on 8 November 2021 in the databases PubMED, PsycINFO and EMBASE. Random-effects meta-analysis and meta-regression were conducted to examine between-study heterogeneity in discriminative performance and its relevant influencing factors.

Twenty-eight studies were included. The majority of studies (n = 16) validated models for mood disorders. Clinical predictors (e.g. symptom severity) were most frequently included (n = 25). Low methodological and applicability concerns were found for two studies. The overall discrimination performance of the meta-analysis was fair with wide prediction intervals (0.72 [0.46; 0.89]). The between-study heterogeneity was not explained by number or type of predictors but by disorder diagnosis.

Few models seem ready for further implementation in clinical practice to aid treatment allocation. Besides the need for more external validation studies, we recommend close examination of the clinical setting before model implementation.

Abrupt cessation of heavy cannabis use can cause a withdrawal syndrome characterised by irritability, anxiety, insomnia, reduced appetite and restlessness. Recent reports have also described people in whom cannabis withdrawal immediately preceded the acute onset of psychosis.

To identify cases of psychosis associated with cannabis withdrawal.

We completed a systematic review of the literature, which comprised case reports, case series and other studies. We also searched a large electronic database of psychiatric healthcare records.

The systematic review identified 44 individuals from 21 studies in whom cannabis withdrawal preceded the development of acute psychosis. In the health record study, we identified another 68 people, of whom 47 involved a first episode of psychosis and 21 represented further episodes of an existing psychotic disorder. Almost all people were daily cannabis users who had stopped using cannabis abruptly. Individuals who continued to use cannabis after the acute psychotic episode had a much higher risk of subsequent relapse than those who abstained (odds ratio 13.9 [95% CI: 4.1 to 56.9]; χ2 = 20.1, P < 0.00001).

Abrupt cannabis withdrawal may act as a trigger for the first episode of psychosis and a relapse of an existing psychosis. Acute psychotic symptoms can emerge after the cessation, as well as following the use, of cannabis.