Cannabis use and transition to psychosis in individuals at ultra-high risk: review and meta-analysis

2015 ◽  
Vol 46 (4) ◽  
pp. 673-681 ◽  
Author(s):  
T. Kraan ◽  
E. Velthorst ◽  
L. Koenders ◽  
K. Zwaart ◽  
H. K. Ising ◽  
...  
Keyword(s):  
High Risk ◽  
Psychotic Disorders ◽  
Meta Analysis ◽  
Cannabis Use ◽  
Transition Rates ◽  
Cannabis Abuse ◽  
Ultra High Risk ◽  
Meta Analyses ◽  
Risk Review ◽  
The Relationship

BackgroundPrevious research has established the relationship between cannabis use and psychotic disorders. Whether cannabis use is related to transition to psychosis in patients at ultra-high risk (UHR) for psychosis remains unclear. The present study aimed to review the existing evidence on the association between cannabis use and transition to psychosis in UHR samples.MethodA search of PsychInfo, Embase and Medline was conducted from 1996 to August 2015. The search yielded 5559 potentially relevant articles that were selected on title and abstract. Subsequently 36 articles were screened on full text for eligibility. Two random-effects meta-analyses were performed. First, we compared transition rates to psychosis of UHR individuals with lifetime cannabis use with non-cannabis-using UHR individuals. Second, we compared transition rates of UHR individuals with a current DSM-IV cannabis abuse or dependence diagnosis with lifetime users and non-using UHR individuals.ResultsWe found seven prospective studies reporting on lifetime cannabis use in UHR subjects (n = 1171). Of these studies, five also examined current cannabis abuse or dependence. Lifetime cannabis use was not significantly associated with transition to psychosis [odds ratio (OR) 1.14, 95% confidence interval (CI) 0.856–1.524, p = 0.37]. A second meta-analysis yielded an OR of 1.75 (95% CI 1.135–2.710, p = 0.01), indicating a significant association between current cannabis abuse or dependence and transition to psychosis.ConclusionsOur results show that cannabis use was only predictive of transition to psychosis in those who met criteria for cannabis abuse or dependence, tentatively suggesting a dose–response relationship between current cannabis use and transition to psychosis.

Cannabis-induced attenuated psychotic symptoms: implications for prognosis in young people at ultra-high risk for psychosis

2016 ◽  
Vol 47 (4) ◽  
pp. 616-626 ◽  
Author(s):  
M. J. McHugh ◽  
P. D. McGorry ◽  
A. R. Yung ◽  
A. Lin ◽  
S. J. Wood ◽  
...  
Keyword(s):  
High Risk ◽  
Psychotic Disorder ◽  
Cannabis Use ◽  
Psychotic Symptoms ◽  
Cannabis Abuse ◽  
Dependent Relationship ◽  
Abuse Severity ◽  
Ultra High Risk ◽  
Prognostic Utility ◽  
History Of

BackgroundCannabis use shows a robust dose-dependent relationship with psychosis risk among the general population. Despite this, it has been difficult to link cannabis use with risk for transitioning to a psychotic disorder among individuals at ultra-high risk (UHR) for psychosis. The present study examined UHR transition risk as a function of cannabis use characteristics which vary substantially between individuals including age of first use, cannabis abuse severity and a history of cannabis-induced attenuated psychotic symptoms (APS).MethodParticipants were 190 UHR individuals (76 males) recruited at entry to treatment between 2000 and 2006. They completed a comprehensive baseline assessment including a survey of cannabis use characteristics during the period of heaviest use. Outcome was transition to a psychotic disorder, with mean time to follow-up of 5.0 years (range 2.4–8.7 years).ResultsA history of cannabis abuse was reported in 58% of the sample. Of these, 26% reported a history of cannabis-induced APS. These individuals were 4.90 (95% confidence interval 1.93–12.44) times more likely to transition to a psychotic disorder (p = 0.001). Greater severity of cannabis abuse also predicted transition to psychosis (p = 0.036). However, this effect was mediated by higher abuse severity among individuals with a history of cannabis-induced APS.ConclusionsFindings suggest that cannabis use poses risk in a subpopulation of UHR individuals who manifest cannabis-induced APS. Whether this reflects underlying genetic vulnerability requires further study. Nevertheless, findings reveal an important early marker of risk with potentially significant prognostic utility for UHR individuals.

scholarly journals Cannabis use and symptom severity in individuals at ultra high risk for psychosis: a meta-analysis

2017 ◽  
Vol 136 (1) ◽  
pp. 5-15 ◽  
Author(s):  
R. Carney ◽  
J. Cotter ◽  
J. Firth ◽  
T. Bradshaw ◽  
A. R. Yung
Keyword(s):  
High Risk ◽  
Symptom Severity ◽  
Meta Analysis ◽  
Cannabis Use ◽  
Ultra High Risk

A Meta-Analysis of Interviews and Cognitive Ability

2013 ◽  
Vol 12 (4) ◽  
pp. 157-169 ◽  
Author(s):  
Philip L. Roth ◽  
Allen I. Huffcutt
Keyword(s):  
Cognitive Ability ◽  
Meta Analysis ◽  
Incremental Validity ◽  
Employment Interviews ◽  
Moderator Analysis ◽  
The Future ◽  
Research Questions ◽  
Meta Analyses ◽  
The Relationship

The topic of what interviews measure has received a great deal of attention over the years. One line of research has investigated the relationship between interviews and the construct of cognitive ability. A previous meta-analysis reported an overall corrected correlation of .40 ( Huffcutt, Roth, & McDaniel, 1996 ). A more recent meta-analysis reported a noticeably lower corrected correlation of .27 ( Berry, Sackett, & Landers, 2007 ). After reviewing both meta-analyses, it appears that the two studies posed different research questions. Further, there were a number of coding judgments in Berry et al. that merit review, and there was no moderator analysis for educational versus employment interviews. As a result, we reanalyzed the work by Berry et al. and found a corrected correlation of .42 for employment interviews (.15 higher than Berry et al., a 56% increase). Further, educational interviews were associated with a corrected correlation of .21, supporting their influence as a moderator. We suggest a better estimate of the correlation between employment interviews and cognitive ability is .42, and this takes us “back to the future” in that the better overall estimate of the employment interviews – cognitive ability relationship is roughly .40. This difference has implications for what is being measured by interviews and their incremental validity.

Career Adaptability and Career Decision Self-Efficacy: Meta-Analysis

2021 ◽  
pp. 089484532110124
Author(s):  
Graham B. Stead ◽  
Lindsey M. LaVeck ◽  
Sandra M. Hurtado Rúa
Keyword(s):  
Self Efficacy ◽  
Total Population ◽  
Meta Analysis ◽  
Career Decision ◽  
Decision Making Process ◽  
Career Adaptability ◽  
Efficacy Measures ◽  
Meta Analyses ◽  
Career Research ◽  
The Relationship

The relationship between career adaptability and career decision self-efficacy was examined due to its importance for clients in the career development and career decision-making process. Multivariate meta-analyses using 18 studies with a total population of 6,339 participants were employed. Moderator variables important to this relationship were country of participants, mean age, and career adaptability measures. Estimated correlations between career adaptability subscales and career decision self-efficacy measures ranged from .36 to .44. Findings are discussed in relation to career research and counseling.

scholarly journals Resting Heart Rate as a Predictor of Cancer Mortality: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 10 (7) ◽  
pp. 1354
Author(s):  
Diana P. Pozuelo-Carrascosa ◽  
Iván Cavero-Redondo ◽  
I.M. Lee ◽  
Celia Álvarez-Bueno ◽  
Sara Reina-Gutierrez ◽  
...  
Keyword(s):  
Heart Rate ◽  
Cancer Mortality ◽  
Meta Analysis ◽  
Positive Association ◽  
Cochrane Library ◽  
Resting Heart Rate ◽  
Potential Marker ◽  
Meta Analyses ◽  
Risk Of Cancer ◽  
The Relationship

This work was aimed to synthetize the evidence available about the relationship between resting heart rate (RHR) and the risk of cancer mortality. A computerized search in the Medline, EMBASE, Web of Science, and Cochrane Library databases from their inception to 24 September 2020 was performed. We performed three meta-analyses: (1) cancer mortality comparing the “less than 60 bpm” and “more than 60 bpm” categories; (2) cancer mortality comparing “less than 60 bpm”, “60 to 80 bpm”, and “more than 80 bpm” categories; and (3) analysis for 10–12 and 20 bpm increase in RHR and risk of cancer mortality. Twenty-two studies were included in the qualitative review, and twelve of them met the inclusion criteria for the meta-analysis. Our results showed a positive association between RHR and the risk of cancer mortality. This association was shown in a meta-analysis comparing studies reporting mean RHR values below and above 60 bpm, when comparing three RHR categories using less than 60 bpm as the reference category and, finally, in dose response analyses estimating the effect of an increase of 10–12 bpm in RHR, both in men and in women. In conclusion, a low RHR is a potential marker of low risk of cancer mortality.

Effects of cannabis use on event related potentials in subjects at ultra high risk for psychosis and healthy controls

2013 ◽  
Vol 88 (2) ◽  
pp. 149-156 ◽  
Author(s):  
Mirjam J. van Tricht ◽  
Emma C. Harmsen ◽  
Johannes H.T.M. Koelman ◽  
Lo J. Bour ◽  
Thérèse A. van Amelsvoort ◽  
...  
Keyword(s):  
High Risk ◽  
Event Related Potentials ◽  
Cannabis Use ◽  
Healthy Controls ◽  
Ultra High Risk ◽  
Related Potentials

scholarly journals Osteoarthritis, mobility-related comorbidities and mortality: an overview of meta-analyses

2020 ◽  
Vol 12 ◽  
pp. 1759720X2098121
Author(s):  
Gustavo Constantino de Campos ◽  
Raman Mundi ◽  
Craig Whittington ◽  
Marie-Josée Toutounji ◽  
Wilson Ngai ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Inclusion Criteria ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Ischemic Attack ◽  
Meta Analyses ◽  
The Relationship ◽  
Related Mortality

Aims: The objective of this review was to examine the relationship between osteoarthritis (OA) and mobility-related comorbidities, specifically diabetes mellitus (DM) and cardiovascular disease (CVD). It also investigated the relationship between OA and mortality. Methods: An overview of meta-analyses was conducted by performing two targeted searches from inception to June 2020. The association between OA and (i) DM or CVD ( via PubMed and Embase); and (ii) mortality ( via PubMed) was investigated. Meta-analyses were selected if they included studies that examined adults with OA at any site and reported associations between OA and DM, CVD, or mortality. Evidence was synthesized qualitatively. Results: Six meta-analyses met inclusion criteria. One meta-analysis of 20 studies demonstrated a statistically significant association between OA and DM, with pooled odds ratio of 1.41 (95% confidence interval: 1.21, 1.65; n = 1,040,175 patients). One meta-analysis of 15 studies demonstrated significantly increased risk of CVD among OA patients, with a pooled risk ratio of 1.24 (1.12, 1.37, n = 358,944 patients). Stratified by type of CVD, OA was shown to be associated with increased heart failure (HF) and ischemic heart disease (IHD) and reduced transient ischemic attack (TIA). There was no association reported for stroke or myocardial infarction (MI). Three meta-analyses did not find a significant association between OA (any site) and all-cause mortality. However, OA was found to be significantly associated with cardiovascular-related death across two meta-analyses. Conclusion: The identified meta-analyses reported significantly increased risk of both DM and CVD (particularly, HF and IHD) among OA patients. It was not possible to confirm consistent directional or causal relationships. OA was found to be associated with increased mortality, but mostly in relation to CVD-related mortality, suggesting that further study is warranted in this area.

scholarly journals Low birth weight, preterm birth and small for gestational age association with adult depression: systematic review and meta-analysis

2014 ◽  
Vol 205 (5) ◽  
pp. 340-347 ◽  
Author(s):  
Christian Loret De Mola ◽  
Giovanny Vinícius Araújo De França ◽  
Luciana de Avila Quevedo ◽  
Bernardo Lessa Horta
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Gestational Age ◽  
Premature Birth ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Adult Depression ◽  
Meta Analyses ◽  
Relationship Of ◽  
The Relationship

BackgroundThere is no consensus on the effects that low birth weight, premature birth and intrauterine growth have on later depression.AimsTo review systematically the evidence on the relationship of low birth weight, smallness for gestational age (SGA) and premature birth with adult depression.MethodWe searched the literature for original studies assessing the effect of low birth weight, premature birth and SGA on adult depression. Separate meta-analyses were carried out for each exposure using random and fixed effects models. We evaluated the contribution of methodological covariates to heterogeneity using meta-regression.ResultsWe identified 14 studies evaluating low birth weight, 9 premature birth and 4 SGA. Low birth weight increased the odds of depression (OR = 1.39, 95% CI 1.21–1.60). Premature birth and SGA were not associated with depression, but publication bias might have underestimated the effect of the former and only four studies evaluated SGA.ConclusionsLow birth weight was associated with depression. Future studies evaluating premature birth and SGA are needed.

Ultra-high-risk paradigm: lessons learnt and new directions

2018 ◽  
Vol 21 (4) ◽  
pp. 131-133 ◽  
Author(s):  
Patrick D McGorry ◽  
Cristina Mei
Keyword(s):  
High Risk ◽  
Mental Disorders ◽  
Psychotic Disorder ◽  
Psychotic Disorders ◽  
Evidence Base ◽  
Ultra High Risk ◽  
Underlying Mechanisms ◽  
Staging Model ◽  
Definition Of ◽  
New Generation

Within the embryonic early psychosis field in the early 1990s, the conceptualisation and definition of an at-risk or ultra-high-risk (UHR) mental state for psychosis was a breakthrough which transformed the clinical and research landscape in psychiatry. Twenty-five years later, we have a new evidence base that has illuminated the neurobiology of the onset phase of psychotic disorder, delivered Cochrane level 1 evidence showing that the onset of full-threshold sustained psychotic disorder can be at least delayed, and is paving the way to a new generation of transdiagnostic research. Here, we document the contribution of the UHR approach to understanding the underlying mechanisms of psychosis onset as well as the long-term outcomes. Particularly, we highlight that psychosis onset can be delayed in those meeting UHR criteria and that these criteria have a higher valence for subsequent psychotic disorders and some valence for persistent non-psychotic syndromes. Critiques have helped to identify some of the limitations of this paradigm, which are acknowledged. These include evidence that psychotic disorders can emerge more acutely and from other, as yet undefined, precursor states. Rather than defending, or alternatively questioning the value of, the UHR approach, we propose a broader, transdiagnostic staging model that is consistent with the pluripotent and variably comorbid trajectories for mental disorders. This approach moves beyond psychosis to capture a wider range of subthreshold symptoms and full-threshold disorders, thus enhancing prediction for the emergence and progression of a range of mental disorders, as well as providing new avenues for early intervention and prevention.

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