Notes

Superior detection associated with mouth dysplasia by organised lights fluorescence life span photo microscopy.
Parental alcohol consumption does not affect college student drinking patterns when friends and siblings are considered. Living with one's family acts as a protective factor. Preventive measures focused on young people should take a contextual approach and include those closest to them.The use of new technologies has become widespread worldwide. There is increasing concern about "Internet addiction disorder" (IAD), "Internet gaming disorder" (IGD), and "Mobile phone addiction" (MPA). Attention Deficit Hyperactivity Disorder (ADHD) has been associated with IAD and IGD. However, evidence is lacking about the relationship between ADHD and MPA. Naturalistic case-control study. 112 patients (51 children with and 61 children without ADHD) between 7 and 17 years old were compared regarding IAD, IGD, and MPA. We used the TEA questionnaire for the assessment of executive function and ADHD (ATENTO), and the ADITEC questionnaire to get gender-differentiated information for IAD, IGD, and MPA. Female children scored higher on MPA (Mean ± Standard Deviation, M ± SD) (25.93 ± 17.64 vs. 14.77 ± 19.43, p=0.03), while male children scored higher on IGD (30.09 ± 21.65 vs. 12.51 ± 16.61, p<10-3). Severity of hyperactivity/impulsivity and IGD were moderately correlated (r=0.349, p=0.013), but the correlation disappeared after controlling for the impact on the social domain as measured by the ATENTO questionnaire (r=171, p=0.250). Most parents are concerned that their children may be addicted to IAD/IGD/MPA. Female gender is associated with MPA, while male gender is associated with IGD. ADHD is a risk factor for developing IAD and IGD. Combined type and predominantly hyperactive/impulsive ADHD are each associated with IGD. Good social adjustment protects against developing IGD. There are gender vulnerabilities for IAD/IGD/MPA. ADHD is a risk factor for IGD, but good social adjustment buffers this association.The UPPS model of impulsivity has recently been proposed, has been widely applied to substance abuse and is one of those recommended in the context of Research Domain Criteria, RDoC. However, its application to the abuse of information and communication technologies (ICTs) has been very limited. In the present work, a sample of n=748 (67% females) was recruited through the Internet, and the reduced version of the UPPS-P was administered, in addition to the MULTICAGE-TIC and the Prefrontal Symptoms Inventory (PSI-20). The psychometric properties of UPPS-P were satisfactory in terms of internal consistency (0.87 > ω > 0.75) and structural validity. Impulsivity measured by UPPS-P correlated with all MULTICAGE-TIC scales, although with a very small effect size, and with greater magnitude with prefrontal dysfunction symptoms. The impulsivity dimension most related to ICT abuse was Urgency (0.3 > r > 0.2). A structural analysis of all the variables was carried out, with impulsivity appearing as a product of the prefrontal malfunction that predicted, through Positive Urgency, the abuse of ICTs. Impulsivity does not seem to be the central nucleus of ICT abuse, but rather failures in the superior control of behavior, of which impulsivity would be a consequence, but not the most important. selleck kinase inhibitor This makes it advisable to design cognitive rehabilitation interventions that improve the functioning of superior behavior control mechanisms in the prevention and treatment of ICT abuse.Our aim was to assess personality traits associated with substance use during pregnancy in a population-based, multicentre study of 1804 pregnant women. On day 2-3 postpartum, participants completed a semi-structured interview, including self-reported drug use (alcohol, tobacco, caffeine, cannabis, cocaine, opioids) during pregnancy, and socio-demographic, reproductive and obstetric variables, personal and family psychiatric history, social support, and the Eysenck personality questionnaire, short version (EPQ-RS). Logistic regression models were conducted. Fifty per cent of women reported substance use during pregnancy 40% caffeine, 21% tobacco, 3.5% alcohol, and 0.3 % cannabis. Mean T-scores (SD) for personality dimensions were 51.1 (9.6) for extraversion, 48 (8.9) for psychoticism, and 43.6 (8.5) for neuroticism. Extroversion (p = .029) and psychoticism (p = .009) were identified as risk factors after adjustment by age, level of education, employment status during pregnancy, low social support, and previous psychiatric history. For each increment of 10 units in their scores, the odds of substance use increased by 12% and 16% respectively. Low education, being on leave during pregnancy, and previous psychiatric history were independent factors (p less then .05) associated with substance use during pregnancy. Primiparity was a protective factor (p = .001). The final models showed a good fit (p = .26). The screening of substance use during pregnancy should include personality dimensions apart from psychosocial variables and history of psychiatric disorders. It is important to identify the associated risk factors for substance use during pregnancy to prevent and improve foetal/neonatal and maternal health during perinatal period.It has been estimated that alcohol, tobacco, and illicit drugs were responsible for more than 10 million deaths worldwide in 2016, and there are many opportunities for improvement. Regarding innovative data analysis, advances have been made in the extraction of information from administrative databases for analytics purposes. We studied trends in hospitalization rates for alcohol and drug abuse over eleven years with Joinpoint Trend Analysis software. This is a descriptive study of cross-associations in 3758 hospital admissions of patients admitted with a main diagnosis of alcohol and drug abuse or dependence in psychiatry units of public health centres of Castilla y León (Spain) between 2005 and 2015. Hospitalization trends for alcohol and drug related conditions declined over the eleven-year period. Separately, there was a statistically significant decrease in alcohol and cocaine related conditions, but a strong upward trend in cannabis related conditions between 2013 and 2015. Alcohol was the main cause of admission to psychiatric units with a diagnosis of addiction.
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