Early exposure to cannabis and bipolar disorder incidence: Findings from a 22-year birth cohort study in Brazil.

BACKGROUND AND OBJECTIVES: Bipolar disorder is a chronic condition affecting millions of people worldwide. Currently, there is some evidence to suggest that cannabis use during adolescence may be an environmental risk factor for its onset, however inconsistencies have been observed across the literature. Considering this, we aimed to assess whether early lifetime cannabis is associated with subsequent bipolar disorder in young adults between 18 and 22 years of age. METHODS: Using data from the 1993 Pelotas (Brazil) birth cohort (n = 5249), cannabis exposure was examined at age 18 by self-report, and bipolar disorder diagnosis was measured at age 22 using the Mini International Neuropsychiatric Interview (MINI). In order to control the analysis, we considered socioeconomic status index, sex, skin color, physical abuse by parents and lifetime cocaine use. RESULTS: A total of 3781 individuals were evaluated in 2015 aged 22 years, of whom 87 were diagnosed with the bipolar disorder onset after the age of 18. Lifetime cannabis use predicted bipolar disorder onset at 22 years old (OR 1.82, 95% CI [1.10, 2.93]), and the effect remained after adjusting for socioeconomic status, sex, skin color, and physical abuse by parents (OR 2.00, 95% CI [1.20, 3.25]). However, this association was attenuated to statistically non-significant after further adjustment for all available covariates, including lifetime cocaine use (OR 1.79, 95% CI [0.95, 3.19]). We also found similar results for early cocaine use, where the association with bipolar disorder onset did not maintain significance in the multivariate model (OR 1.35, 95% CI [0.62, 2.86]). Otherwise, when we considered cannabis or cocaine lifetime use as a unique feature, our findings showed that the adolescent exposure to cannabis or cocaine increased the odds by 1.95 times of developing bipolar disorder at 22 years age, even when controlling for all other study variables (OR 2.14, 95% CI [1.30, 3.47]). Finally, our models suggest that cocaine use may potentially exert a major influence on the effect of lifetime cannabis use on bipolar disorder onset, and that physical abuse by parents and sex may modify the effect of cannabis use for later bipolar disorder onset. CONCLUSION: Based on our findings, early cannabis exposure predicted bipolar disorder onset in young adults, but this association was confounded by cocaine use. Contrary to schizophrenia, cannabis as a sole exposure was not associated with bipolar disorder onset after adjusting for control variables.

Perinatal factors as risk factors of bipolar disorder onset in young adulthood: a 22-year birth cohort.

BACKGROUND: Bipolar disorder (BD) is a leading cause of disability-adjusted life years in young adults. Complications during prenatal periods have been associated with BD previously. The study aims to examine the association between perinatal factors and BD in order to prevent the risk of developing BD. METHODS: 3,794 subjects from the 1993 Pelotas population-based birth cohort study were included. We assessed 27 initial variables at birth and modelled BD onset at 18 and 22 years. We performed bivariate analysis, using binomial logistic regression models. The variables with p-value smaller than 0.05 were included into a multiple regression with confounding variables. RESULTS: Maternal smoking was associated with a 1.42-fold increased risk of BD at 18 or 22 years old (95% CI: 1.091-1.841), and maternal passive exposure to tobacco with a 1.43-fold increased risk (95% CI: 1.086-1.875). No association was found between other perinatal factors and BD after controlling for confounding factors. CONCLUSION: The results of this cohort corroborate with previous findings in the literature that already indicate the negative outcomes of maternal smoking during pregnancy. They may now be linked to other studies to target these factors for preventing the development of BD.

Haloperidol versus Second-generation Antipsychotics on the cognitive performance of individuals with schizophrenia and related disorders: pairwise meta-analysis of randomized controlled trials.

INTRODUCTION: Despite previous literature, the superiority of Second-generation Antipsychotics (SGAs) relative to First-generation Antipsychotics- especially haloperidol - on cognitive management in schizophrenia is still controversial. Thus, we aimed to compare the effects of haloperidol versus SGAs on the cognitive performance of individuals with schizophrenia or related disorders. METHODS: We conducted an updated systematic review and nine pairwise meta-analyses of double-blinded randomized controlled trials published up to October 30th, 2022, using Medline, Web of Science, and Embase. RESULTS: Twenty-eight trials were included, enrolling 1,932 individuals. Compared to SGAs, haloperidol performed worse on cognitive composite (MD -0.13; 95% CI: -0.33 to -0.03; MD = mean difference, CI = confidence interval), processing speed (MD -0.17; 95% CI: -0.28 to -0.07), attention (MD -0.14; 95% CI: -0.26 to -0.02), motor performance (MD -0.17; 95% CI: -0.31 to -0.03), memory and verbal learning (MD -0.21; 95% CI: -0.35 to -0.08), and executive function (MD -0.27; 95% CI: -0.43 to -0.11). In contrast, there were no significant differences between SGAs and haloperidol on working memory (MD 0.10; 95% CI: -0.08 to 0.27), visual learning (MD 0.08; 95% CI: -0.05 to 0.21), social cognition (MD 0.29; 95% CI: -0.30 to 0.88), and visuoconstruction (MD 0.17; 95% CI: -0.04 to 0.39). CONCLUSION: Haloperidol had poorer performance in global cognition and in some cognitive domains, but with small effect sizes. Therefore, it was not possible to conclude that haloperidol is certainly worse than SGAs in the long-term cognitive management of schizophrenia.

The effect of antipsychotics on the cognitive performance of individuals with psychotic disorders: Network meta-analyses of randomized controlled trials.

Cognitive deficits are a core aspect of psychotic disorders; however, it is not clear to which extent different pharmacological treatments could distinctly impact these outcomes. Hence, we conducted a systematic review and ten network meta-analyses of randomized controlled trials to compare the effect of antipsychotics on cognitive performance of individuals with psychotic disorders. Fifty-four trials were included in the analyses, enrolling 5866 patients. Compared to other antipsychotics, amisulpride performed better on verbal learning; quetiapine on composite score, attention and verbal learning; lurasidone on composite score; olanzapine on composite score and most cognitive domains; perphenazine on composite score, executive function, working memory, and verbal learning; risperidone on executive function and verbal learning; sertindole on processing speed; and ziprasidone on composite score, working memory, and verbal learning. Oppositely, haloperidol performed poorer on all cognitive domains, occupying the last positions in all rankings; and clozapine performed poorer on composite score, executive function, verbal learning, and visuoconstruction. We hope that these results should be taken into account when assessing and treating individuals with psychosis.

Mental health information online: what we have learned from social media metrics in BuzzFeed's Mental Health Week / Informações de saúde mental on-line: o que aprendemos com as métricas de mídias sociais na Semana de Saúde Mental do BuzzFeed

Abstract Introduction The Internet has seen rapid growth in the number of websites focusing on mental health content. Considering the increased need for access to accurate information about mental health treatment, it is important to understand the promotion of this information online. Objective To analyze BuzzFeed's Mental Health Week (BFMHW) interactions on its own website and in related social media platforms (Facebook, Twitter and YouTube) using metrics of information delivery in mental health topics. Methods We extracted social media metrics from the 20 posts with the highest number of BuzzFeed interactions on the BFMHW website and from 41 videos available on the BFMHW playlist created by the BuzzFeed Video profile on YouTube. We analyzed the format and content used in BuzzFeed's publishing methods as well as the following social media metrics: exposure (presence online, views and time online), influence (likes) and engagement (comments, shares, replies and BuzzFeed interactions). Results Analysis of the variables revealed that audience engagement is associated with the number of medias in which the content is published: views on YouTube and shares on Facebook (0.71, p<0.001), total interactions on Facebook (0.66, p<0.001) and BuzzFeed number of total interactions (0.56, p<0.001). Conclusions Our results suggest that videos on YouTube may be an important information channel, including activity and engagement on other medias such as Facebook. Information may be more effective in reaching the audience if it is delivered in more than one media and includes personal experiences, some humor in content and detailed information about treatment.

Resumo Introdução O número de sites com foco em conteúdo de saúde mental vem crescendo rapidamente. Considerando a necessidade crescente de acesso a informações precisas sobre tratamento em saúde mental, é importante entender a promoção dessas informações on-line. Objetivo Analisar as interações da Semana de Saúde Mental do BuzzFeed (BuzzFeed's Mental Health Week - BFMHW) em seu próprio site e em plataformas de mídia social relacionadas (Facebook, Twitter e YouTube) usando métricas de entrega de informações em tópicos de saúde mental. Métodos Extraímos métricas de mídias sociais das 20 postagens com o maior número de interações no site da BFMHW e de 41 vídeos disponíveis na playlist da BFMHW criada pelo perfil BuzzFeed Video no YouTube. Analisamos o formato e o conteúdo usados nos métodos de publicação do BuzzFeed, bem como as seguintes métricas de mídias sociais: exposição (presença on-line, visualizações e tempo on-line), influência (curtidas) e engajamento (comentários, compartilhamentos, respostas e interações do BuzzFeed). Resultados A análise das variáveis revelou que o envolvimento do público está associado ao número de mídias em que o conteúdo é publicado: visualizações no YouTube e compartilhamentos no Facebook (0,71, p <0,001), interações totais no Facebook (0,66, p <0,001) e número de interações totais no BuzzFeed (0,56, p <0,001). Conclusões Nossos resultados sugerem que o YouTube pode ser um importante canal de informações, incluindo atividades e envolvimento em outras mídias, como o Facebook. As informações podem alcançar o público de forma mais eficaz se forem exibidas em mais de uma mídia e incluírem experiências pessoais, algum humor no conteúdo e informações detalhadas sobre o tratamento.

Mental health information online: what we have learned from social media metrics in BuzzFeed's Mental Health Week.

INTRODUCTION: The Internet has seen rapid growth in the number of websites focusing on mental health content. Considering the increased need for access to accurate information about mental health treatment, it is important to understand the promotion of this information online. OBJECTIVE: To analyze BuzzFeed's Mental Health Week (BFMHW) interactions on its own website and in related social media platforms (Facebook, Twitter and YouTube) using metrics of information delivery in mental health topics. METHODS: We extracted social media metrics from the 20 posts with the highest number of BuzzFeed interactions on the BFMHW website and from 41 videos available on the BFMHW playlist created by the BuzzFeed Video profile on YouTube. We analyzed the format and content used in BuzzFeed's publishing methods as well as the following social media metrics: exposure (presence online, views and time online), influence (likes) and engagement (comments, shares, replies and BuzzFeed interactions). RESULTS: Analysis of the variables revealed that audience engagement is associated with the number of medias in which the content is published: views on YouTube and shares on Facebook (0.71, p<0.001), total interactions on Facebook (0.66, p<0.001) and BuzzFeed number of total interactions (0.56, p<0.001). CONCLUSIONS: Our results suggest that videos on YouTube may be an important information channel, including activity and engagement on other medias such as Facebook. Information may be more effective in reaching the audience if it is delivered in more than one media and includes personal experiences, some humor in content and detailed information about treatment.