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BackgroundSmoking is one of the most significant factors contributing to low life expectancy, health inequalities, and illness at the worldwide scale. Smoking cessation attempts benefit from social support. Mobile phones have changed the way we communicate through the use of freely available message-oriented apps. Mobile app–based interventions for smoking cessation programs can provide interactive, supportive, and individually tailored interventions.ObjectiveThis study aimed to identify emotions, coping strategies, beliefs, values, and cognitive evaluations of smokers who are in the process of quitting, and to analyze online social support provided through the analysis of messages posted to a chat function integrated into a mobile app.MethodsIn this descriptive qualitative study, informants were smokers who participated in the chat of Tobbstop. The technique to generate information was documentary through messages collected from September 2014 through June 2016, specifically designed to support a smoking cessation intervention. A thematic content analysis of the messages applied 2 conceptual models: the Lazarus and Folkman model to assess participant’s experiences and perceptions and the Cutrona model to evaluate online social support.ResultsDuring the study period, 11,788 text messages were posted to the chat by 101 users. The most frequent messages offered information and emotional support, and all the basic emotions were reported in the chat. The 3 most frequent coping strategies identified were physical activity, different types of treatment such as nicotine replacement, and humor. Beliefs about quitting smoking included the inevitability of weight gain and the notion that not using any type of medications is better for smoking cessation. Health and family were the values more frequently described, followed by freedom. A smoke-free environment was perceived as important to successful smoking cessation. The social support group that was developed with the app offered mainly emotional and informational support.ConclusionsOur analysis suggests that a chat integrated into a mobile app focused on supporting smoking cessation provides a useful tool for smokers who are in the process of quitting, by offering social support and a space to share concerns, information, or strategies.

IntroductionNovel psychoactive substances (NPS) use is progressively increasing year on year. A new group of phenethylamines sold as legal stimulants and hallucinogens is being reported increasingly since 2012. Within this group, 25I-NBOMe is an outstanding substance with powerful effects and high affinity with the serotonin 2a (5HT2a) receptor. Several toxicity cases have been reported so far.ObjectivesTo describe the presence of 25I-NBOMe and its characteristics in samples delivered to Energy Control from 2009 to 2015 in Spain.MethodsAmong the samples, 21,198 analyzed from august 2009 to august 2015 and only those samples containing 25I-NBOMe were studied (n = 56). Samples were analyzed by Energy Control, a Spanish harm-reduction NGO that offers users the possibility of analyzing the substances they intend to consume. Analysis was done by Gas Chromatography–Mass Spectrometry.ResultsFrom 56 samples were 25I-NBOMe was found, 24 were bought as LSD (42.8%), 12 as 25I-NBOMe (21.4%), 4 as 25C-NBOMe (7.1%), 4 as 25I-NBOH (7.1%) and 12 as other substances (21.4%), gummy bears included. All samples were received from 2012 on, having the highest peak on 2013 (19 samples).Conclusions25I-NBOMe consumption represents an emerging issue with potential harmful effects, especially when the substance used is not the expected. Further pharmacokinetic, pharmacodynamic, clinical and epidemiological researches should be conducted to deepen knowledge about 25I-NBOMe and the management of its possible toxic effects. Physicians should be aware of NPS, their increasing use and the clinical differences between them.Disclosure of interestThe authors have not supplied their declaration of competing interest.

IntroductionA considerable proportion of patients with morbid obesity require treatment with antidepressants.ObjectivesThe aim of this study is to determine the incidence of patients who are in antidepressant treatment and identify risk factors for the need of this treatment in patients with morbid obesity.Materials and methodsRetrospective cohort study of 292 patients with morbid obesity who underwent bariatric surgery at Hospital del Mar from January 2010 to November 2015. The incidence of antidepressant treatment was analyzed, and also its possible relationship with the following variables: age, sex, BMI, tobacco smoking, alcohol consumption and age of onset of obesity. Chi2 test for categorical variables and Student t-test for quantitative variables were applied. Afterwards, a multivariate analysis was performed using logistic regression.ResultsThe mean age is 43.1 years. Most of the patients (76.4%) are women. Seventy-seven patients (26.4%) are receiving treatment with antidepressants. There is a statistically significant relationship between age and the need of treatment with antidepressants (P < 0.001). This relationship is still present when the variables are analyzed using logistic regression (P < 0.005, OR 1.049). We have not found any significant relationship with the rest of the variables.ConclusionsDespite the large number of patients in the study, there are limitations, such as being a retrospective study and not being adjusted for confounding factors. From all the variables that have been analyzed we have found that as the age of the patients increase, there is a higher number of patients that receive treatment with antidepressants.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Not performing the OGTT means a delay in diagnosis which can be countered by applying the ADA criteria.

Introduction: Although in our cultural context death and end of life are still taboos, clinical approaches based on shared decision-making and person-centered care are emerging.

The incidence and prevalence described are greater than described in other studies. The most common reasons for diagnosis were the existence of previous nondiagnostic hyperglycemia and the application of protocols for other risk factors.

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