It remains difficult to predict which individuals will develop cognitive impairment and progress to major neurocognitive disorders. Prevention studies suffer from the long time frames and the manner in which this topic does not lend itself to randomized, double-blinded controlled trials.

We aimed to construct a computer simulation model that would accurate portray the time course for a series of individuals to develop cognitive impairment and to progress to major neurocognitive disorder.

We built a computer simulation model that incorporated the role of exercise, genetic load, age, quality of diet, presence of diabetes and level of hemoglobin A1C, ongoing levels of cognitive stimulation, presence or absence of micronutrients, presence or absence of other co-morbidities, an overall general health index, levels of smoking and other substance use, and family history. We modeled the life course of 10 individuals, adjusting parameters to make correct predictions for all 10 people. Then we entered the data from another 10 people to determine how accurate the model would be with ten new individuals for whom it had not been developed.

We defined success as a prediction of onset within 10% of the actual date and a prediction of the slope of the trend within 20%. We had 7 successes. We were able to engage 6 of the 10 in interacting with the model to change health behaviors.

Computer simulation modeling may provide an opportunity to study the long-term effects of health behaviors and to engage people in interacting with the program to change behavior.

No significant relationships.

The problem of specificity of psychological adaptation mechanisms at the patients with Type 2 Diabetes Mellitus (T2DM) is extremely actual. The aim is to investigate gender psychological characteristics associated with T2DM

In the comparative study 62 patients (28 male, 34 female; mean age 56,8±2,3 and 55,4±2,7 yrs.) with T2DM (HbA1c 7,3±1,3%) and visceral obesity (Grade 2) were included.

Research methods: the Depression Scale of Zung, the Spielberger trait scale anxiety, Toronto Alexithymia Scale and MMPI test

T2DM-female-patients in comparison with T2DM-male showed significantly higher personal anxiety scores (51,2+7,6 and 44,1+10,6 respectively; р<0,05), depression scores (44,2+7,6 and 36,7+8,4 respectively; р<0,05), while alexithymia scores were higher at T2DM-males (68,2+9,6 and 71,7+6,4 respectively; p<0,05). In MMPI test (after correction by K-scale) 46,8% of patients demonstrated profiles with elevated scale 1 score (above 70 Т-scores, but below 80 Т-scores) regardless of gender differences. However, the T-scores for T2DM-male patients were on the average by 1,07 higher than for T2DM-female (58,4 vs 54,4 respectively, р˃0,05), that indicated more higher concern related to own physical health condition. The female T2DM-patients significantly more often demonstrated profiles with scale 6 peak (exceeding 65 Т-scores): 79,4% vs. 21,4%, which indicated the more higher accentuation of personality traits (concealed hostility; protest; rigidity, desire to blame the others for one’s failure, et cetera)

The patient’s gender has to be taken into consideration at development of clinical, diagnostic and prevention activities of patients with T2DM and visceral obesity.

Marijuana is widely used among people, recreationally and medically. However, recent studies have shown that Marijuana has negative effects on brain structures and functions.

To discuss the effects of Marijuana use on brain development in adolescence.

The method that is used in this study is literature review, through analyzing and summarizing the data that were collected from PubMed, epidemiology articles from BNN and CDC, and other online journals to understand the effects of Marijuana on the brain development in adolescence. There were 25499 articles that were filtered and screened resulting in 10 articles that were used as data of this literature review.

Marijuana effects on the brain are divided into structural changes and functional changes. Structural changes are seen in the brain hemispheres, amygdala, hippocampus, and nucleus accumbens. While functional changes are seen in behavioral and cognitive changes in everyday life and even psychotic disorders.

Marijuana use has shown negative effects on the human body, organs that are rich in cannabinoid receptors, especially the Brain. Therefore, Marijuana use among adolescents may disrupt their developing brain, and cause adolescents to have structural and functional changes in the brain.

No significant relationships.

Media multitasking (MMT) begins to play an increasingly important role in terms of the digitalization of everyday life. At the same time, the effect of MMT on efficiency is still poorly highlighted, especially among the younger generation (May, Elder, 2018; Patterson, 2017; Peifer, Zipp, 2019).

The aim is to identify types of MMT in children and compare them by productivity and time of task performance.

Quasi-experimental research, which included the performance of tasks on a computer and a smartphone, was conducted among children in three groups aged 7-10 years, 11-13 years, 14-16 years (N=154).

Based on a number of criteria, several types of behavior are identified in the MMT environment: two subgroups of “single-taskers” (23%), “light” (19%), “medium” (54%) and “heavy” (4%) MMT. Comparative analysis (p=0.027) reveals high scores for proper task performance of the subgroup “single-taskers1”, as well as “heavy” and “light” MMT. The other subgroup “single-taskers2” and “medium” MMT show, on the contrary, low productivity results. MMT groups also differ in terms of task performance time (p=0.006). The “light” and “heavy” MMT cope the fastest. The second place by the speed of task performance is held by “medium” MMTs and “single-taskers1”, and the slowest are “single-taskers2”.

The results show that both linear and nonlinear behavioral strategies can lead to a certain level of performance. Most children try to operate in the MMT mode and it is becoming the dominant and ubiquitous modus vivendi for the younger generation. The reported study was funded by RFBR, project No. 19-29-14181.

The reported study was funded by RFBR, project No. 19-29-14181.

There are wide-spread fears and expectations about radiotherapy in people referred to it that are not only unrealistic (Shaverdian et al., 2018) but also lead to poorer compliance with doctors and poorer satisfaction with treatment (Dong et al., 2014).

The aim was to reveal relationship between different aspects of subjective perception of radiotherapy in patients and their well-being.

34 patients first referred to radiotherapy, 23-70 years old (mostly females with breast cancer) filled modified version of Beliefs about Medication Questionnaire including items about radiotherapy (Horne et al., 1996), Satisfaction With Life Scale (Diener et al., 1985), Scale of Positive And Negative Experience (Diener et al., 2009).

Six scales were revealed by factor analysis in the structure of beliefs about radiotherapy (Cronbach’s alphas .74-.85): confidence in the effectiveness of radiation therapy, subjective need for it, lack of understanding of it, concern and general negative attitudes towards radiotherapy, doubts about the effectiveness of radiation therapy. Elder patients reported higher need for radiotherapy but also higher concerns about it (r=.35-.37). Concerns about radiotherapy were related to lower satisfaction with life and positive emotions (r=-.44 - -.34) while subjective need of radiotherapy was related to higher health anxiety (r=.71) and lower positive emotions (r=-.41).

Subjective concerns of patients regarding radiotherapy are related to poorer well-being and could be addressed in psychotherapy.

An uncommon adverse event of antidepressant discontinuation is the paradoxical withdrawal hypomania or mania. It is rarely described in the literature and its true incidence is unknown, may it be a consequence of underrecognition or misattribution.

Alert clinicians of the uncommon Antidepressant-Withdrawal Mania

Report and discuss, based on online pubmed database, a case of Antidepressant-Withdrawal Mania with Citalopram

A 34 year old woman, with a previous unipolar depressive episode, presents to the emergency department in june/2020 with anxiety, recurrent thoughts of death without a plan, low energy, anhedonia, loss of appetite, sadness and insomnia developing over a period of 7 months. She was prescribed Quetiapine 50 mg XR, Lamotrigine 100 mg, and sent to a psychiatry consultation. After a month and a half there was no important clinical improvement and Citalopram 20 mg was started. The patient reported slow improvement and by august she had a complete symptomatic response. In the beginning of september the patient stopped citalopram abruptly. Three weeks later, she was presented with an irritable mood, increased energy with decreased need for sleep, sweet cravings, easy irritability, racing thoughts, pressure to keep talking and suicidal thoughts. After 2 weeks of Quetiapine 300 mg XR id, Lamotrigine 100 mg id and Olanzapine 5 mg there was a partial symptomatic response.

Antidepressant withdrawal manic states are an under-recognized phenomena, with ill defined patho-physiological pathways and nosology. It is important to continue close follow up of the patient and to investigate whether it can be included on the bipolar spectrum.

Diagnostic overshadowing is one of the main consequences of stigma involving patients diagnosed with a psychiatric disorder. Some studies show that in emergency departments, being diagnosed with a psychiatric illness can lead to a poor evaluation of organic symptoms, delaying the diagnosis and putting the patient’s life at risk.

- To present the case of a patient diagnosed with factitious disorder who was misdiagnosed after attending the emergency department due to the stigma related to his psychiatric diagnosis. - To provide a reflection on stigma in mental health.

We will present a case report and a literature review.

We report a case of a 57-year-old man diagnosed with a factitious disorder. He attended the emergency department of our tertiary care center with confused speech, desorientation and disruptive behavior at home. Although the clinical picture was compatible with a confusional state, he was ordered to be admitted to the psychiatric service. No blood test was previously requested. Three hours after being admitted, he suffered an episode of seizures. A blood test was requested and severe hypomagnesemia (0.2 mg / dl) was found. Because of this episode the patient was admitted to the Intensive Care Unit for three days.

Factitious disorder is a serious mental disorder with a significant stigmatizing burden. Giving a patient this diagnostic label should be the subject of careful thought in order to protect him from future diagnostic neglect.

No significant relationships.

The coronavirus pandemic has challenged the world with an unprecedented situation. Social distancing, self or quarantine isolation, personal hand hygiene, self-protection, and the fear of becoming infected with the virus, come with a psychological fallout. The COVID-19 pandemic has affected students around the world, in terms of their education and lifestyle.

To investigate the impact of COVID-19 pandemic on the students’ mental health and well-being at the University of Patras, in Western Greece.

An online questionnaire was prepared to collect responses from students during April 2020. Socio-demographic data, academic status, opinions about distance learning, changes in daily routine during the lockdown and anxiety and depression scores, according to the Greek version of the Hospital Anxiety and Depression Scale (HADS), were gathered.

The total number of responders was 2009, of which 67.3% women. During lockdown, the 68% of the students returned to their family home. Anxiety and depression scores were higher in students with a low income, poor self-rated health, not informed about COVID-19, not satisfied with distance learning and being annoyed at staying home. Prevalence of anxiety and depression was found to be 35.8% and 51.2%, ranging from 26.7% to 48.2% for anxiety and from 36.3% to 60.5% for depression in Health Sciences and Humanities and Social Sciences, respectively.

Depression rates among university students in Greece were alarmingly high, denoting the impact of lockdown and changes in students’ life, due to the COVID-19 pandemic.

Bipolar disorder (BD) is associated with premature death and ischemic heart disease is the main cause of excess mortality. The predictive power of heart rate variability (HRV) for mortality has been confirmed in patients with or without cardiovascular disease. While several studies have analyzed the association between HRV and BD, their results are incongruent; and none has analyzed the effect of the clinical factors characterizing illness burden on HRV.

To assess the association between HRV and the following factors characterizing illness burden: illness duration, number and type of previous episode(s), duration of the most severe depressive or hypomanic/manic episode, severity of episodes, co-morbid psychiatric disorders, family history of BD or suicide, and duration and polarity of current episode in participants experiencing one.

We used a wearable device in 53 BD participants to assess the association between HRV using 4 measures (RMSSD, SDANN, SDNN and RR Triangular Index) and the abovementioned clinical factors characterizing illness burden. For each of the 4 HRV measures we ran 11 models, one for each burden of illness clinical factor as an independent variable.

Longer illness duration, higher number of depressive episodes, and family history of suicide were negatively correlated with HRV; in the 14 participants experiencing a depressive episode, the MADRS score was negatively correlated with HRV

Our study analyzed the association between burden of illness and HRV in BD, while controlling for functional cardiovascular status, age, sex, BMI, education, and treatment. Our results showed that high illness burden is associated with reduced HRV.

No significant relationships.

In the Danish social welfare system, few people are homeless solely for economic reasons. In fact, 38% of homeless people suffer from both substance use and a psychiatric disorder, making diagnostic assessment and treatment difficult. This patient group, with dual diagnoses, often fail to receive effective treatment, and the consequences are far reaching and detrimental. A more comprehensive grasp of the history and patterns of substance use in these patients may contribute to improve their treatment.

To identify the role and patterns of substance use in mentally ill, homeless people.

50 homeless, mentally ill patients are examined in comprehensive interviews, exploring the relationship between substance use, homelessness, and suffering from a mental disorder. The data are analyzed quantitatively as well as qualitatively using thematic analysis.

Preliminary results indicate that substance use in mentally ill homeless patients is a complex phenomenon. On the one hand, substance use seems to contribute to keep the patient homeless and makes it difficult for the patient to get the necessary psychiatric help. On the other hand, substance use also appear to play an important part in coping with life on the streets by offering some kind of social contact and some relief from a desperate situation.

It seems that the triad of substance use, mental illness, and homelessness somehow reinforce each other and simultaneously locks the situation. New approaches for disentangling this locked situation and avoiding this ‘Bermuda triangle’ is needed.

Widespread outbreaks of infectious disease, such as COVID-19, are associated with psychological distress and symptoms of mental illness especially for patients with suggestive symptoms.

Predict the prevalence of perceived stress and study associated factors among patients with suspected COVID-19 infection.

A cross sectional study was conducted between April and May 2020. Patients consulting the sorting box at the Hedi Chaker Hospital of Sfax and declared suspect to be infected by COVID-19 were invited to participate in our study after given their cosent. Perceived Stress Scale-10 was used to evaluate prevalence of perceived stress.

In total, 149 participants participated. The mean age was 38.8±15.39 years. Medical or surgical history and psychiatric history were identified respectively in 30,2% and 12.1% of participants. Among all respondents, 74.5% took a nasopharyngeal swab to look for COVID-19 and only 6.4% had a positive test. Close contact with someone with a positive COVID-19 infection was found in 8.05%. Several participants (79,2%) expressed fear of transmitting the disease to their family members. The mean of the PSS-10 score was 11.97±9.83. Moderate to severe perceived stress was found in 44.3% of patients. Significantly higher scores were observed among participants with a positive pharyngeal swab for COVID-19 as well as those who perceived worry of transmetting the disease. No significant differences in perceived stress’ scores according to socio-demographic data.

Perceived stress was high among patients with suspected COVID-19 infection. Perceiving worry of transmetting the disease and having a positive pharyngeal swab for COVID-19 were the principal risk factors.

No significant relationships.

Some patients present with significant subjective cognitive symptoms, sometimes interfering with day-to-day live, that are not compatible with any recognizable psychiatric, neurodegenerative or systemic condition. Recent studies have proposed that these patients can be diagnosed with Conversion Disorder (Subtype Cognitive), also known as Functional Cognitive Disorder (FCD). This is a relatively recent concept, that still lacks consensus.

Review the current state of knowledge regarding prevalence, diagnosis criteria, core clinical features and proposed treatment of Functional Cognitive Disorder.

Bibliographic review of the literature published in English in the last 5 years, in the databases Pubmed, PsycINFO and Cochrane. The keywords used were: Functional Cognitive Disorder; Cognition; Conversion Disorder. A review of the titles and abstracts of the resulting articles was made, and selected according to their relevance to the study.

Ten articles related to prevalence, diagnosis, clinical associations and treatment of Functional Cognitive Disorder were selected, of which two were systematic reviews, three descriptive studies, three cross sectional clinical studies of memory clinics attendants, one cohort prospective study and one article was a case series report.

The prevalence of FCD is estimated between 11.6% and 56% of patients presenting to memory clinics. However, the prevalence of FCD is hindered by the lack of consensus regarding its definition. Recently, Ball et al proposed a definition in line with the DSM-5 definition of Conversion Disorder with emphasis on positive criteria with the identification of positive evidence of internal inconsistency. Treatment discussion is still limited, and the approach is similar to other conversion disorders.

The current stage of research on mental disorders is associated with the use of system approaches to the development of the scientific foundations of psychiatric care.

Approach to solving problems that arise in the diagnosis of psychopathological conditions, assessing their severity, as well as evaluating the effectiveness of psychosocial treatment and rehabilitation.

Clinical, psychometric, system analysis methods and algorithms of the Analytical Hierarchy Process (AHP) [1] were used.

When assessing a patient’s condition and behavior, it is necessary to make decisions (diagnosis, development of treatment and rehabilitation plans) based on heterogeneous information (genetic, neuronal and environmental, involving individual characteristics, as well as family and social context). This information is hierarchically organized and includes quantitative and qualitative data. Exposure at each of these different levels can affect the onset and course of the disease, and therefore should be considered in primary prevention and subsequent psychosocial therapy and rehabilitation of patients. Analysis of the problems of assessing psychopathological states and related psychosocial problems shows that these problems can be presented in the form of appropriate hierarchies, the structure of which must be taken into account when processing the initial information. The main advantages of the AHP include the use of the relationship scale (fundamental scale) for processing heterogeneous data based on expert, clinical information.

The approach provides correct integration of heterogeneous characteristics when considering diagnostic procedures, psychosocial therapy and rehabilitation.1. Mitikhin V.G., Solokhina T.A. S.S. Korsakov Journal of Neurology and Psychiatry, 2019, 2: 49-54. doi:10.17116/jnevro201911902149

Smoking rates are quite high among overweight and obese individuals. Many smokers with excess weight are at increased risk for health complications and report that concern about post-cessation weight gain is a barrier to quitting. It is necessary to perform studies to assess the efficacy of interventions for smoking cessation among individuals with excess weight.

To describe in-treatment behaviors, in terms of smoking and weight, in an integrated intervention for smoking cessation and weight gain management.

A total of 16 smokers (37.5% females, Mage=52.31, SD=9.58) were randomly assigned to one of the two following 8-week smoking cessation conditions: 1) Cognitive-Behavioral Treatment (CBT) for gradual smoking cessation + a Weight Gain Prevention (WGP) module for weight stability (n=7); 2) the same treatment alongside Contingency Management (CM) for smoking abstinence (n=9). Smoking behavior (cigarettes per day, carbon monoxide (CO) in expired air and urine cotinine) and weight were tracked at every visit from baseline through the end of treatment.

Cigarettes per day significantly decreased in both conditions (p≤.028), as well as CO (p≤.018) and cotinine (p≤.043). Regarding body weight gain, participants maintained their body weight (Kg) from baseline to the end of treatment (CBT+WGP: Δkg= .671, CBT+WGP+CM: Δkg= .667, p≥.058) and their BMI (CBT+WGP: 30.56 vs. 30.85, CBT+WGP+CM: 29.74 vs. 29.85, p≥.139).

Preliminary data indicated that a multicomponent intervention to promote gradual smoking cessation and prevent weight gain facilitates in-treatment tobacco reduction and weight stability. CM procedures improved in-treatment smoking behaviors.

No significant relationships.

Depression (MDD) is a serious mental illness, which greatly affects the quality of life of patients. Nowadays, the clinical diagnosis of MDD lacks sufficient objective basis, and the effect of drug treatment is unsatisfactory. Therefore, biomarkers are very important for the risk prediction, classification, diagnosis and prognosis of MDD.

Research progress of metabonomics of blood endogenous small molecules in depression

Metabonomics is a newly developed discipline after genomics and proteomics, and is an important part of system biology. Metabonomics provides a new approach to explore the etiology, mechanism, prognosis and screening potential biomarkers of MDD. Blood contains almost all the small molecule metabolites in the body. The changes of metabolites in blood can represent the changes of metabolites in other body fluids. Moreover, this sample is easy to obtain and has less trauma, so it is the most common biological sample in clinical detection.

At present, there are many studies on the metabonomics of endogenous small molecules in MDD blood, which provides the possibility for further screening of MDD related biomarkers.

In this paper, the research progress of related biomarkers in MDD blood is reviewed.

No significant relationships.

Available evidence shows that countries may shield their population’s exposure and vulnerability to mental health risks during and after an economic recession by strengthening their policies and reorienting their budgets. Populations’ mental health protection during economic crises can only be achieved by the policies of different sectors. Social protection, social programmes and social safety nets proved to be fundamental buffers against inequalities in mental health. Several actions have proven to be effective in this area, including measures to improve social protection, reduce income inequalities, and mitigate the impacts of unemployment. To address the negative consequences of unemployment, active labour market programmes, including special programmes for unemployed young people and families, programmes to promote the employment of people with disabilities, and debt relief programmes should be implemented. The response of the health system is critical. During and after economic recessions, it is fundamental to ensure the responsiveness and effectiveness of the mental health system. To attain this goal, mental health services that are closer to the populations and that facilitate the early identification of mental health problems and the implementation of integrated interventions should be strengthened. The latter is a crucial approach to tackle the mental health problems that more often worsen in periods of economic instability, such as depression, suicidal behaviour and heavy drinking. A special attention should also be dedicated to strengthening the network of community-based mental health services, promoting the integration of mental health in primary care, and enhancing the coordination between mental health services and social care.

No significant relationships.

Apathy is a neuropsychiatry syndrome, conceptualised as a loss of motivation free of altered consciousness, cognitive impairment or emotional distress, associated with a wide range of brain disorders such as Dementia, Major depression and schizophrenia. Even though under-recognized and under-diagnosed, apathy hardly appears uncommon. Its reported frequency in various neurologic and psychiatric conditions varies widely, from less than 10 to over 80%, reflecting differences in population characteristics and assessment procedures.

The aim of this article is to review the concept of Apathy and clarify its nosology, pathopshysiology and treatment.

An online bibliographic search was carried out on PubMed and Medline using “Apathy” as a term.

The literature reviewed shows that apathy is a multi-dimensional clinical construct with a current definition and validated diagnostic criteria. Analysis reveals that apathy is strongly associated with disruption particularly of anterior cingulate cortex (ACC), ventral striatum (VS) and nucleus accumbens (N acc). Remarkably, these changes are consistent across clinical disorders and imaging modalities, playing a crucial role in normal motivated behaviour.

The neuromodulator dopamine is heavily implicated in ACC and VS. Therapeutically, numerous small studies suggest that psychostimulants, dopaminergics, and cholinesterase inhibitors may benefit those manifesting this syndrome. However, no adequately powered, randomized controlled trials have reported success and no medication have ever been approved for this disorder Further research is needed to help understand the functional neuroanatomy, neuromodulators involved and possible treatment options of this clinical construct.

Openness, conscientiousness, extroversion, agreeableness and neuroticism are known as the Big Five personality traits (BFPT). They are theoretical building blocks of the personality and comprise wide and interconnected spectra. Artificial intelligence (AI) could help to grasp their complexity.

To investigate whether AI could predict the BFPT from themselves.

Data from 2,697 questionnaires were analysed using an AI. The short form of the International Personality Item Pool was used to assess the BFPT. Four of the BFPT scores were employed to predict the fifth one and the procedure was repeated for all of them alternatively. The AI was conservatively tuned to maximize the one-way random intraclass correlation coefficient (ICC) between predicted and real values. Their Pearson’s r was calculated too. The free and open source programming language R was used for all the analyses. Dataset source: Hansson, Isabelle; Berg, Anne Ingeborg; Thorvaldsson, Valgeir (2018), “Can personality predict longitudinal study attrition? Evidence from a population-based sample of older adults”, Mendeley Data, V1, doi: 10.17632/g3jx8zt2t9.1

Openness, conscientiousness, extroversion, agreeableness and neuroticism predictions obtained ICC of 0.219, 0.146, 0.306, 0.354, 0.121 and Pearson’s r of 0.254, 0.149, 0.393, 0.446, 0.122 respectively. The results for extroversion and agreeableness were indicative of fair performance.

AI might be useful to predict personality traits, mainly extroversion and agreeableness. This could be utile in many situations, such as dealing with missing data or deciding whether to formally test someone. Finally, the AI used in this study is freely available, allowing anyone to experiment.

The delivery of medical education has changed alongside the effects of COVID-19. As a result, the undergraduate psychiatry training for medical students at Guy’s King’s and St Thomas’ School of Medicine had to adapt rapidly. This poster portrays the journey in which the teaching sessions were developed and delivered throughout the first academic term of 2020-2021.

To deliver an interactive online teaching day that can provide students with the knowledge and understanding of common psychiatric disorders in the interface of other medical conditions.

A clinical skills teaching day was developed to deliver the sessions via the online video calling platform Zoom. Published articles regarding online medical education as well as guidelines from the Royal College of Psychiatry were used as a resource to develop the structure. Feedback of the teaching day was collected via an anonymous survey.

78 responses were collected in total from 4 teaching days. Overall satisfaction was high with a score of 86.5/100 in overall satisfaction. Themes for positive feedback included utilising actors in simulation (38% 30/78) and high interactivity within the teaching (31% 24/78). There were a number of students who found the whole day session online tiring (13% 10/78) and others felt the variation of scenarios were too limited (12% 9/78).

As lockdown has forced students to have less patient contact, they have suffered from the lack of learning opportunities. This teaching day showed the importance of organising high fidelity scenarios in order to try and fill the void that has been created due to COVID-19.

Nowadays Social Networks (SN) are used not only in a playful way but also as a ‘health’ means of communication. The Pro-Ana and Pro-Mia accounts or profiles -whereby Eating Disorders are advocated as a ‘lifestyle’- increased by 300% over the last decade.

To analyze Instagram Pro-Ana and Pro-Mia accounts and compare them with Pro-Ana and Pro-Mia Blogs.

A non-computerized research of Pro-Ana and Pro-Mia Blogs and Instagram profiles was performed. Accepting a risk of Alpha=0.05 and Beta=0.15 in a two-tailed test, 29 subjects were required in each group to detect a difference equal to or greater than 0.2 units. The common standard deviation is assumed to be 0.25. Publication averages, photos, opening years, WhatsApp links and number of followers were analysed and compared. Transversal descriptive study.

Blogs: 100% had no groups in other SN, 33.33% had been opened for more than 3 years, 30% included personal pictures, 16.67% contained Ana in their title, 53.3% named other Blogs. Instagram: 56.67% included personal pictures, 13.33% mentioned WhatsApp groups, 73.33% had a public profile, 43.33% contained ‘Ana’ in their user name and 53.33% had more than one hundred followers.

These tools are constantly adapting to the times in which they coexist. There has also been a current increase in Instagram profiles. This study shows a greater linkage to WhatsApp groups on Instagram than on Blogs, together with a higher number of followers, ease of ownership and difficulty of control.

No significant relationships.