Christensenhoffmann5810

45), severe psychiatric illness (PRadjusted = 3.04), anxiety disorders/other disorders (PRadjusted = 3.96), and the previous and current use of alcohol (PRadjusted = 2.27 and 2.25, respectively) and illicit substances (PRadjusted = 1.81 and 2.00, respectively). In conclusion, the independent factors associated with current smoking are age, religion, psychiatric diagnosis, and use of alcohol/illicit substances.

Smoking is prevalent among people in China. https://www.selleckchem.com/products/ory-1001-rg-6016.html In this study, we examined the association between smoking and cognitive function in a representative sample of adults aged 45 years and older in China.

We analyzed the baseline data of 16,892 participants from the China Health and Retirement Longitudinal Study. We measured smoking based on smoking status (never, former, and current smokers) and pack years (one pack year equals 20 cigarettes per day for 1 year). We assessed cognitive function for visuospatial ability, episodic memory, orientation/attention, and overall cognitive function. Multivariate linear and logistic regressions were used to examine the independent association between smoking and cognitive function, controlling for sociodemographic factors, domestic partner status, physical health status, and depressive symptoms.

The study participants were, on average, 60 years old. The prevalence of former and current smoking in this population was 8.4% and 28.8%, respectively. Compared with nonsmokers, e should encourage them to quit smoking.Studies show a direct correlation between traumatic experiences and the development of substance abuse disorders (SUD). Some estimating 67-92% of the patients with a SUD reported having experienced at least one traumatic event (according to the DSMIV PTSD criterion A) in their lifetime (Carletto et al., 2018). Trauma is a contributing factor inhibiting the lifelong process of recovery and its long-term goal of abstinence. Without a focus on interventions that address both the SUD and underlying trauma, health care providers may not be providing the best possible evidence-based care and limiting the chance of recovery for patients (DiPirro, 2017). EMDR is a level A trauma treatment endorsed by the Substance Abuse and Mental Health Services Administration (SAMHSA) and the World Health Organization (WHO) as an evidence-based approach in treating those who suffer from trauma and its related symptoms. Adding EMDR methodology to treatment as usual approach TAU) can allow for adaptive information processing to take place while reprocessing traumatic memories that may trigger maladaptive coping strategies such as overuse, and misuse of substances.

Negative healthcare provider attitudes toward patients with substance use disorder (SUD) may adversely impact the quality of care and treatment outcomes.

In this article, we aim to characterize the effects of an 8-hour educational workshop on attitudes toward patients with SUD among nurses from an urban inpatient psychiatric hospital.

The Drug and Drug Problems Perceptions Questionnaire, a 22-item scale consisting of six subscales, was used to assess nurse attitudes to patients with SUD at pretest (n = 38), posttest (n = 36), and 30-day follow-up (n = 20). Generalized estimating equation models adjusted for gender and years of work experience were used to measure changes in Drug and Drug Problems Perceptions Questionnaire scores.

Positive attitudes significantly increased at posttest (β = -12.09, 95%CI [-16.83, -7.34]; p < .001) and were sustained at 30-day follow-up (β = 1.71, 95% CI [-3.11, 6.53]; p = .49). Subscales of motivation (β = -0.26, 95% CI [-0.87, 0.35]; p = .41) and task-specific self-esteem (β = -0.56, 95% CI [-1.44, 0.32]; p = .21) did not significantly change at posttest.

Our findings show workshop effectiveness in improving nurse attitudes toward patients with SUD. Future research may test similar interventions at a larger scale and with other health professionals.

Our findings show workshop effectiveness in improving nurse attitudes toward patients with SUD. Future research may test similar interventions at a larger scale and with other health professionals.We employed a descriptive survey to determine the effects of excessive social network service (SNS) usage. Measures of SNS addiction, SNS fatigue, anxiety, and school life adjustment were employed with 209 high school students (85.2% female, 14.8% male). SNS addiction increased as students became more dissatisfied with school life, used SNS for a longer period, and had increased access to SNS as compared with their counterparts. SNS addiction was positively correlated with SNS fatigue (r = .24, p less then .001) and anxiety (r = .20, p = .003). SNS fatigue and anxiety were positively correlated (r = .30, p less then .001), and school adjustment and anxiety were negatively correlated (r = -.25, p less then .001). SNS daily use (in both frequency and number of minutes) and anxiety were associated with SNS addiction (adjusted R = 38.4%). It is necessary to develop intervention programs for vulnerable groups and promote early screening for SNS addiction.Accruing evidence strongly suggests that the motivation to give up smoking is a crucial predictor of tobacco cessation attempt. However, even motivated people often fail in their attempts and relapse is very common, even if most people who smoke are confident that the desire to quit is enough to change and maintain abstinence. According to this framework, the main objective of the current study was to identify psychological and lifestyle patterns that might characterize people who smoke cigarettes with different motivations to quit. A secondary aim was to compare the characteristics of people who are currently smoking with people who stopped or never smoked. A convenient sample of 360 volunteers (179 women, 181 men), with a mean age of 55 years (SD = 14.33), participated in this study. Participants completed a battery of psychological and behavioral scales aimed at assessing psychological characteristics as well as dependence level and readiness to stop. Our results strongly suggest that the behavior of people who smoke differs as a function of specific psychological variables.