scholarly journals Risk factors for the onset of dependence and chronic psychosis due to cannabis use: Survey of patients with cannabis‐related psychiatric disorders

2020 ◽  
Vol 40 (4) ◽  
pp. 332-341
Author(s):  
Toshihiko Matsumoto ◽  
Toshitaka Kawabata ◽  
Kyoji Okita ◽  
Yuko Tanibuchi ◽  
Daisuke Funada ◽  
...  
Keyword(s):  
Risk Factors ◽  
Psychiatric Disorders ◽  
Cannabis Use ◽  
Chronic Psychosis

Shared genetic architecture across psychiatric disorders

2021 ◽  
pp. 1-7
Author(s):  
Andrew D. Grotzinger
Keyword(s):  
Risk Factors ◽  
Psychiatric Disorders ◽  
Genetic Correlations ◽  
Fine Grained ◽  
Level Data ◽  
Symptom Level ◽  
Genetic Level ◽  
Genetic Signal ◽  
Family Based ◽  
Shared Genetic

Abstract Psychiatric disorders overlap substantially at the genetic level, with family-based methods long pointing toward transdiagnostic risk pathways. Psychiatric genomics has progressed rapidly in the last decade, shedding light on the biological makeup of cross-disorder risk at multiple levels of analysis. Over a hundred genetic variants have been identified that affect multiple disorders, with many more to be uncovered as sample sizes continue to grow. Cross-disorder mechanistic studies build on these findings to cluster transdiagnostic variants into meaningful categories, including in what tissues or when in development these variants are expressed. At the upper-most level, methods have been developed to estimate the overall shared genetic signal across pairs of traits (i.e. single-nucleotide polymorphism-based genetic correlations) and subsequently model these relationships to identify overarching, genomic risk factors. These factors can subsequently be associated with external traits (e.g. functional imaging phenotypes) to begin to understand the makeup of these transdiagnostic risk factors. As psychiatric genomic efforts continue to expand, we can begin to gain even greater insight by including more fine-grained phenotypes (i.e. symptom-level data) and explicitly considering the environment. The culmination of these efforts will help to inform bottom-up revisions of our current nosology.

The relative and interactive impact of multiple risk factors in schizophrenia spectrum disorders: a combined register-based and clinical twin study

2021 ◽  
pp. 1-11
Author(s):  
C. Lemvigh ◽  
R. Brouwer ◽  
R. Hilker ◽  
S. Anhøj ◽  
L. Baandrup ◽  
...  
Keyword(s):  
Risk Factors ◽  
Environmental Factors ◽  
Childhood Trauma ◽  
Cannabis Use ◽  
Paternal Age ◽  
Interactive Effects ◽  
Polygenic Risk Score ◽  
Multiple Risk Factors ◽  
Schizophrenia Spectrum ◽  
Multiple Risk

Abstract Background Research has yielded evidence for genetic and environmental factors influencing the risk of schizophrenia. Numerous environmental factors have been identified; however, the individual effects are small. The additive and interactive effects of multiple risk factors are not well elucidated. Twin pairs discordant for schizophrenia offer a unique opportunity to identify factors that differ between patients and unaffected co-twins, who are perfectly matched for age, sex and genetic background. Methods Register data were combined with clinical data for 216 twins including monozygotic (MZ) and dizygotic (DZ) proband pairs (one or both twins having a schizophrenia spectrum diagnosis) and MZ/DZ healthy control (HC) pairs. Logistic regression models were applied to predict (1) illness vulnerability (being a proband v. HC pair) and (2) illness status (being the patient v. unaffected co-twin). Risk factors included: A polygenic risk score (PRS) for schizophrenia, birth complications, birth weight, Apgar scores, paternal age, maternal smoking, season of birth, parental socioeconomic status, urbanicity, childhood trauma, estimated premorbid intelligence and cannabis. Results The PRS [odds ratio (OR) 1.6 (1.1–2.3)], childhood trauma [OR 4.5 (2.3–8.8)], and regular cannabis use [OR 8.3 (2.1–32.7)] independently predicted illness vulnerability as did an interaction between childhood trauma and cannabis use [OR 0.17 (0.03–0.9)]. Only regular cannabis use predicted having a schizophrenia spectrum diagnosis between patients and unaffected co-twins [OR 3.3 (1.1–10.4)]. Conclusion The findings suggest that several risk factors contribute to increasing schizophrenia spectrum vulnerability. Moreover, cannabis, a potentially completely avoidable environmental risk factor, seems to play a substantial role in schizophrenia pathology.

610 Self-Reported Sleep and Circadian Characteristics Predict Future Substance Use: A Longitudinal Analysis from the NCANDA Study

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A240-A240
Author(s):  
Brant Hasler ◽  
Jessica Graves ◽  
Meredith Wallace ◽  
Stephanie Claudatos ◽  
Fiona Baker ◽  
...  
Keyword(s):  
Risk Factors ◽  
Substance Use ◽  
Sleep Duration ◽  
Daytime Sleepiness ◽  
Parental Education ◽  
Negative Binomial ◽  
Longitudinal Design ◽  
Random Effect ◽  
Cannabis Use ◽  
Increased Risk

Abstract Introduction Growing evidence indicates that sleep characteristics predict later substance use and related problems during adolescence and young adulthood. However, most prior studies have assessed a limited range of sleep characteristics, studied only a narrow age span, and included relatively few follow-up assessments. Here, we used multiple years of data from the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) study, which spans the adolescent period with an accelerated longitudinal design, to examine whether multiple sleep characteristics in any year predict substance use the following year. Methods The sample included 831 participants (423 females; age 12–21 years at baseline) from NCANDA. Sleep variables included the previous year’s circadian preference, sleep quality, daytime sleepiness, timing of midsleep (weekday and weekend), and sleep duration (weekday and weekend). Each sleep variable’s association with the subsequent year’s substance use (cannabis use or alcohol binge severity) across years 1–5 was tested separately using generalized linear mixed models (zero-inflated Negative Binomial for cannabis; ordinal for binge severity) with age, sex, race, visit, parental education, previous year’s substance use (yes/no) as covariates and subject as a random effect. Results With regard to cannabis use, greater eveningness and shorter weekday sleep duration predicted an increased risk for additional days of cannabis use the following year, while greater eveningness and later weekend midsleep predicted a greater likelihood of any cannabis use the following year. With regard to alcohol binge severity, greater eveningness, greater daytime sleepiness, and shorter sleep duration (weekday and weekend) all predicted an increased risk for more severe alcohol bingeing the following year. Post-hoc stratified analyses indicated that some of these associations may differ between high school-age and college-age participants. Conclusion Our findings extend prior work, indicating that eveningness and later sleep timing, as well as shorter sleep duration, especially on weekdays, are risk factors for future cannabis use and alcohol misuse. These results underscore a need for greater attention to sleep characteristics as potential risk factors for substance use in adolescents and young adults and may inform future areas of intervention. Support (if any) Grants from NIH: R01AA025626 (Hasler) and U01AA021690 (Clark) and UO1 AA021696 (Baker & Colrain)

Cannabis use among early adolescents and transdiagnostic mental health risk factors

2021 ◽  
pp. 135910452199463
Author(s):  
Sara Moreno-Mansilla ◽  
Jorge J Ricarte ◽  
David J Hallford
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Health Risk ◽  
Suicide Attempts ◽  
Intolerance Of Uncertainty ◽  
Cannabis Use ◽  
Health Risk Factors ◽  
Symptoms Of Depression ◽  
Modifiable Factors ◽  
Wide Range

Introduction: Cannabis is the most widely used psychoactive substance among adolescents worldwide, and the age at which consumption begins to decrease. Cannabis use in adolescents is associated with a wide range of adverse consequences in adulthood including increased vulnerability to psychosis and other mental disorders, as well as suicidal ideation and attempt. The aim of this study is to extend understanding of the link between cannabis use and mental illness by examining whether cannabis use at early ages predicts transdiagnostic variables that are precursors to severe clinical diagnoses. Methods: A descriptive cross-sectional study was conducted. The sample was made up of 605 adolescents from 7th to 9th grades, with a mean age of 13.2 years ( SD = 1.0, 47% girls). The variables evaluated were: anomalous perception of reality, intolerance of uncertainty, rumination, suicide attempt, hopelessness, and symptoms of depression and anxiety. The administration of the questionnaires was carried out in groups of 20 participants under the supervision of a researcher in a unique session of 1 hour. Results: Adolescent cannabis users scored higher on all variables assessed: anomalous perception of reality (Cohen’s d = .60), rumination ( d = .48), intolerance of uncertainty ( d = .11), suicidal attempt (affirmative answer: 25.9% of users vs 7.7% of non-users), hopelessness ( d = .85), symptoms of depression ( d = .80), and anxiety ( d = .39). A binary logistic regression showed that the only variable uniquely related to cannabis use was hopelessness (Wald = 4.560, OR: 1.159, p = .033). Conclusions: Among some mental health risk factors, hopelessness appears uniquely related to cannabis use. Adolescents may use cannabis as a coping strategy for negative thoughts and emotions, or it may be a consequence of cannabis use. Future prevention programs should focus on preventing/treating modifiable factors such as hopelessness, and delaying cannabis use in specific subgroups of adolescents who experience pathologies such as depression or suicide attempts.

Survey of Quality of Life and Related Risk Factors for a Taiwanese Village Population 3 Years Post-Earthquake

2006 ◽  
Vol 40 (4) ◽  
pp. 355-361 ◽  
Author(s):  
Hung-Chi Wu ◽  
Pesus Chou ◽  
Frank Huang-Chih Chou ◽  
Chao-Yueh Su ◽  
Kuan-Yi Tsai ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Psychiatric Disorders ◽  
Short Form ◽  
Social Activity ◽  
Economic Problems ◽  
Related Risk ◽  
Sf 36 ◽  
Earthquake Survivors

Objective: To investigate quality of life (QOL) and related risk factors in Taiwanese earthquake survivors diagnosed with different psychiatric disorders 3 years after the 1999 Chi-Chi earthquake. Method: This study was a population survey. Trained assistants used the Medical Outcomes Study Short Form-36 (MOS SF-36) and questionnaires to interview 405 respondents (189 men and 216 women) aged 16 years or older, who had been exposed to the earthquake. Psychiatrists interviewed the same respondents using the Mini-International Neuropsychiatric Interview, with an adjusted response rate of 70.2%. Results: The prevalence range for psychiatric disorders in the earthquake survivors was 0.2–7.2% 3 years after the Chi-Chi earthquake, with rates for major depression (MD) and posttraumatic stress disorder (PTSD) of 6.4% and 4.4%, respectively. The QOL scores for the PTSD/MD group were lower than for the other two diagnostic groups, as determined by assessment of physical and mental aspects of functional integrity from MOS SF-36 scores. The predictors for poor QOL were age, female gender, economic problems, physical illness, subjective assessment of memory and social-activity decline and diagnosis of PTSD or MD. Conclusion: The QOL for earthquake survivors with psychiatric disorders, especially PTSD or MD, was inferior compared with the mentally healthy analogues, with contemporaneous decreases in mental and physical function scores across the QOL subscales. The persistence of long-term economic problems was one of many important factors affecting QOL.

scholarly journals Metabolic syndrome in psychiatry: advances in understanding and management

2014 ◽  
Vol 20 (2) ◽  
pp. 101-112 ◽  
Author(s):  
Cyrus S. H. Ho ◽  
Melvyn W. B. Zhang ◽  
Anselm Mak ◽  
Roger C. M. Ho
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Psychiatric Disorders ◽  
Psychiatric Patients ◽  
Learning Objectives ◽  
List Type ◽  
Type Number ◽  
Unhealthy Lifestyle ◽  
Definition Of ◽  
The Relationship

SummaryMetabolic syndrome comprises a number of cardiovascular risk factors that increase morbidity and mortality. The increase in incidence of the syndrome among psychiatric patients has been unanimously demonstrated in recent studies and it has become one of the greatest challenges in psychiatric practice. Besides the use of psychotropic drugs, factors such as genetic polymorphisms, inflammation, endocrinopathies and unhealthy lifestyle contribute to the association between metabolic syndrome and a number of psychiatric disorders. In this article, we review the current diagnostic criteria for metabolic syndrome and propose clinically useful guidelines for psychiatrists to identify and monitor patients who may have the syndrome. We also outline the relationship between metabolic syndrome and individual psychiatric disorders, and discuss advances in pharmacological treatment for the syndrome, such as metformin.LEARNING OBJECTIVES•Be familiar with the definition of metabolic syndrome and its parameters of measurement.•Appreciate how individual psychiatric disorders contribute to metabolic syndrome and vice versa.•Develop a framework for the prevention, screening and management of metabolic syndrome in psychiatric patients.

Eating and Psychiatric Disorders Are Independent Risk Factors for Rumination Syndrome

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Jennifer X. Cai ◽  
Danny Wong ◽  
Darren J.H. Lee ◽  
Walter W. Chan
Keyword(s):  
Risk Factors ◽  
Psychiatric Disorders ◽  
Rumination Syndrome ◽  
Independent Risk Factors

Liraglutide for psychiatric disorders: clinical evidence and challenges

2018 ◽  
Vol 36 (2) ◽  
Author(s):  
Mehmet Akif Camkurt ◽  
Luca Lavagnino ◽  
Xiang Y. Zhang ◽  
Antonio L Teixeira
Keyword(s):  
Risk Factors ◽  
Psychiatric Disorders ◽  
Clinical Evidence ◽  
Preclinical Studies ◽  
Potential Candidate ◽  
Obesity And Diabetes ◽  
Treatment Of Diabetes ◽  
Glucagon Like Peptide ◽  
Glucagon Like Peptide 1 ◽  
Diabetes And Obesity

Abstract Obesity and diabetes are both risk factors and consequences of psychiatric disorders. Glucagon like peptide 1 (GLP-1) receptor agonists such as liraglutide are widely used in the treatment of diabetes and obesity. There are considerable amounts of preclinical studies showing the effects of liraglutide on promotion of neurogenesis, while preventing apoptosis and oxidation. Preliminary clinical evidence has suggested that liraglutide could decrease weight gain, improve cognition and prevent cognitive decline. Accordingly, liraglutide has been regarded as a potential candidate for the management of psychiatric disorders. Herein, we will discuss the association between obesity/diabetes and psychiatric disorders, and the emerging use of liraglutide in psychiatry.

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